SOURCE-BACKED TRADING KNOWLEDGE BASE

Read the process.
Question the proof.

38 supplied interviews. Every claim keeps its context, limitations and source trail.

38/38 processed twice1,084 source insights27 consolidated lessons

Estimated reference reading time: 13h 23m, excluding the complete transcript appendix. Appendix estimate: 26h 25m. Estimates use 220 words/minute; exercises, replay and source checks take additional time. Section estimates are approximate.

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The strongest material is the decision process: what traders notice, how they react to failure, how their methods change, and where their risk controls break. The interviews do not independently demonstrate a transferable edge.

K005 K011 K017 K022

Headline returns and win rates are not comparable without account scope, cash flows, open losses and recognition timing. Assigned shares, recycled campaigns and closure of multi-year positions create different accounting pictures.

K001 K002 S01-I011 S27-I029 S37-I001

No single risk philosophy wins across the corpus. Immediate scalps, wide-stop shorts, trend holds and ownership-based options have different invalidations. Size, liquidity, leverage and aggregate exposure determine what the stated stop actually means.

K003 K004 K013 K016

The word backtesting covers very different activities here, from visual chart review to automated long-history simulations. Costs, candidate selection, historical instrument construction and genuinely unseen data must be inspected separately.

K008 K010 S20-I002 S37-I029 S37-I030

Some observable rules are suitable for independent research, but complete faithful automation remains blocked by missing execution, sizing, data or discretionary rules. AI coding and order automation do not establish an edge.

K009 K017 S28-I007 S29-I027

Begin with a precisely labeled daily-rule research exercise and a separate contextual replay. Judge the explanations by how clearly they reveal rules, failures and limitations, not by wealth or headline returns.

STUDY-3 STUDY-4 K022 K025
Evidence boundary

These are interview accounts, not an independently audited strategy test. Attribution confidence describes our reading of the caption. Evidence strength describes what supports the trading claim. Frequency is not proof of effectiveness.

Transcript Attributed statement Qualified lesson Independent test

Deduplicated lessons

Top

Recurring principles are consolidated here. Detailed source records retain the different rules, examples, counterexamples and career stages. Unmerged source-specific insights remain in the library; they are not discarded to create artificial consensus.

Win rate is an incomplete accounting statistic

Several interviews expose different reasons an attractive hit rate can mislead. Assigned stock losses may remain open, a short strategy may lose many small gains in one squeeze, and a favorable historical hit rate may exclude trading costs. Conversely, low-hit-rate breakout systems require sufficiently large winners. These are separate mechanisms that should remain visible when comparing records.

ELI5: Count the size and timing of losses, including losses still open.

Conditions and exceptions
Compare net marked-to-market equity, average win/loss, exposure, holding time and tail events on the same basis.
Opposing or qualifying evidence
A low win rate is not automatically better: Naoufel personal preference is not a general result. A high win rate is not automatically fake.
Operational implication
Proposed test: reconstruct the full equity series alongside the closed-trade log, including option assignment, stock ownership, fees and financing.
Classification
Analyst synthesis of attributed statements and experiences; not a demonstrated trading law
Supporting speakers
  • Arsalan (arslinnn)
  • Bobdog
  • Brandon (BMAC)
  • Dom (Dominic; Dom_Mastro10)
  • Jim (Jim37 / zhangji37)
  • Justin (TBOWS)
  • Kyle Williams
  • Lucas Marin
  • Mallik (TQQQTrader)
  • Naoufel
  • Ravenloft
  • Ravish
  • Rob Booker
  • Stan (Stan100X)
  • Stephen Johnson (host)
  • Strati (Stratataaa)
  • Tim / Trading With Tim
  • Xavier Comas (Xavi)
  • Zoo (captioned name, uncertain spelling)
Distinct speaker count
19

Selected evidence: 19 distinct speakers, including 18 guests, in 18 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S01-I011 S14-I016 S18-I019 S30-I010 S34-I002 S06-I010 S08-I005 S12-I019 S11-I013 S11-I020 S19-I008 S20-I015 S27-I029 S28-I015 S31-I002 S32-I005 S37-I001 S33-I031 S33-I032 S38-I022

Headline growth must be reconciled with capital flows

The interviews include earlier investment wealth, fresh transfers, loans, withdrawals, reset accounts and partial histories. A start-small story and a later dollar-profit headline do not by themselves describe one continuously funded strategy.

ELI5: Separate trading gains from money added to the account.

Conditions and exceptions
A valid comparison needs opening equity, every external cash flow, open positions and the measurement window.
Opposing or qualifying evidence
A transfer does not negate skill; it changes the interpretation of the return claim.
Operational implication
Proposed exercise: draw an account timeline and classify each amount as profit, equity, deposit, withdrawal, loan or other investment proceeds.
Classification
Analyst synthesis of attributed statements and experiences; not a demonstrated trading law
Supporting speakers
  • Adam Gefvert
  • Aiden (Below Trading)
  • Alex Temiz
  • Andrey (N0pr3s3n7)
  • Binh (caption: Ben)
  • Dom (Dominic; Dom_Mastro10)
  • James (Stockwonk)
  • Jim (Jim37 / zhangji37)
  • Mallik (TQQQTrader)
  • Marcelo (MightyStocks)
  • Ravenloft
  • Ravish
  • Sean Rechtman
  • Shahzad (Siylenia)
  • Stan (Stan100X)
  • Tim / Trading With Tim
  • Trader YC (Chill Trading)
Distinct speaker count
17

Selected evidence: 17 distinct speakers, including 17 guests, in 17 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S01-I001 S02-I001 S03-I004 S17-I006 S18-I020 S21-I006 S30-I003 S08-I001 S12-I001 S15-I008 S15-I009 S39-I001 S39-I005 S39-I013 S25-I013 S26-I003 S29-I009 S31-I001 S35-I010 S37-I001 S37-I002 S37-I022

Stop distance cannot be separated from size and horizon

Immediate scalp invalidation and a wide-stop end-of-day short are different risk architectures. The former seeks near-immediate follow-through; the latter deliberately tolerates adverse travel in exchange for remaining in a tested pattern. Borrowing the wide stop while retaining scalp size creates a different strategy.

ELI5: A wider escape door needs a smaller position, not just more patience.

Conditions and exceptions
Specify price stop, account loss budget, gap exposure and position size separately.
Opposing or qualifying evidence
Wide stops can produce severe short-side tails; tight stops can repeatedly exit before a reversal. Neither approach is validated by the interview alone.
Operational implication
Proposed comparison: simulate the full joint stop/size/exit policy rather than optimizing one parameter in isolation.
Classification
Analyst synthesis of attributed statements and experiences; not a demonstrated trading law
Supporting speakers
  • Andrey (N0pr3s3n7)
  • Andy (Quickbags)
  • Arsalan (arslinnn)
  • Binh (caption: Ben)
  • Brandon (BMAC)
  • Dom (Dominic; Dom_Mastro10)
  • James (Stockwonk)
  • Jim (Jim37 / zhangji37)
  • Lucas Marin
  • Marcelo (MightyStocks)
  • Mike Huddie
  • Pace
  • Sean Rechtman
  • Strati (Stratataaa)
  • The Trading Farmer
  • Tim / Trading With Tim
  • Zoo (captioned name, uncertain spelling)
Distinct speaker count
17

Selected evidence: 17 distinct speakers, including 17 guests, in 17 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S03-I008 S13-I018 S14-I024 S18-I015 S18-I018 S21-I018 S21-I021 S08-I007 S08-I011 S12-I008 S15-I025 S15-I026 S15-I027 S36-I008 S10-I005 S10-I016 S16-I011 S19-I028 S25-I028 S29-I016 S29-I024 S32-I011 S32-I023 S33-I004 S33-I008 S38-I029

Adding is not one behavior

An add after new confirmation, a planned scale-in, accepting assigned stock, and escalating an adverse short are economically different. Alex describes evidence-based adds and stop/re-entry. Andrey distinguishes an example scale-in from indefinite averaging. Host anecdotes about averaging must not become guest rules.

ELI5: Ask what changed before asking whether to add.

Conditions and exceptions
Track cumulative risk and the original invalidation after every add. A better average price does not reduce absolute exposure by itself.
Opposing or qualifying evidence
Some interviews describe recovery through risk escalation; an eventual winning outcome does not validate that decision process.
Operational implication
Proposed journal field: planned add trigger, new information, resulting position, revised maximum modeled loss and reason for any override.
Classification
Analyst synthesis of attributed statements and experiences; not a demonstrated trading law
Supporting speakers
  • Adam Gefvert
  • Aiden (Below Trading)
  • Alex Temiz
  • Andrey (N0pr3s3n7)
  • Arsalan (arslinnn)
  • Bobdog
  • Edu Trades
  • James (Stockwonk)
  • Justin (TBOWS)
  • Kyle Williams
  • Lucas Marin
  • Pace
  • Ravish
  • Rob Booker
  • Sean Rechtman
  • Stephen Johnson (host)
  • Tim / Trading With Tim
  • Trader YC (Chill Trading)
  • Xavier Comas (Xavi)
Distinct speaker count
19

Selected evidence: 19 distinct speakers, including 18 guests, in 18 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S02-I011 S02-I012 S21-I022 S30-I032 S06-I010 S07-I017 S08-I018 S15-I011 S24-I028 S36-I009 S36-I010 S36-I015 S39-I007 S19-I007 S19-I019 S20-I023 S20-I024 S25-I019 S26-I019 S27-I005 S27-I023 S28-I027 S32-I019 S35-I019

Context defines the setup, not the indicator alone

Broken daily structure, held gains, market heat, a news theme, range and volume can determine whether a similar-looking chart is meaningful. Several discretionary traders use charts to choose an area and tape to judge execution. A naked indicator trigger strips away those conditions.

ELI5: The same shape can mean different things on different days.

Conditions and exceptions
Preserve instrument, session, catalyst, liquidity and trend stage.
Opposing or qualifying evidence
Systematic traders such as Andrey deliberately reduce news/tape discretion, while retaining limited event exceptions. That is a different research design, not proof context is irrelevant.
Operational implication
Proposed replay: label context using only information available before the trade, then compare eligible and rejected lookalikes.
Classification
Analyst synthesis of attributed statements and experiences; not a demonstrated trading law
Supporting speakers
  • Aiden (Below Trading)
  • Alex Temiz
  • Andy (Quickbags)
  • Binh (caption: Ben)
  • Brandon (BMAC)
  • Dom (Dominic; Dom_Mastro10)
  • Don Juan
  • Edu Trades
  • Kyle Williams
  • Lucas Marin
  • Pace
  • Rob Booker
  • Sean Rechtman
  • Strati (Stratataaa)
  • The Trading Farmer
  • Tim / Trading With Tim
  • Trader YC (Chill Trading)
  • Xavier Comas (Xavi)
  • Yanni
  • Zoo (captioned name, uncertain spelling)
Distinct speaker count
20

Selected evidence: 20 distinct speakers, including 20 guests, in 20 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S02-I005 S02-I007 S13-I006 S14-I008 S22-I013 S22-I014 S22-I015 S05-I005 S05-I006 S06-I019 S06-I024 S07-I019 S08-I010 S08-I012 S12-I007 S24-I019 S36-I011 S36-I018 S39-I004 S16-I012 S25-I010 S25-I021 S25-I023 S27-I007 S27-I011 S29-I007 S29-I010 S29-I015 S32-I012 S32-I017 S35-I012 S35-I021 S33-I013 S33-I024 S33-I025 S38-I012 S38-I014 S38-I015 S38-I016

Regime adaptation and rule consistency must be reconciled

Some traders migrate to the active market segment; others retain unchanged code and accept adverse periods. Both can sound like discipline, yet they make different bets about persistence. The missing piece is often an explicit criterion for changing or retiring a method.

ELI5: Know whether a loss is expected noise or a reason to change the plan.

Conditions and exceptions
Record the original expected behavior and a decision rule for review before seeing a bad streak.
Opposing or qualifying evidence
A single historical maximum drawdown is an unstable boundary; adapting too often can chase noise, while never adapting can preserve a dead edge.
Operational implication
Proposed test: predefine review triggers and compare fixed versus adaptive policies on untouched chronological data.
Classification
Analyst synthesis of attributed statements and experiences; not a demonstrated trading law
Supporting speakers
  • Adam Gefvert
  • Aiden (Below Trading)
  • Andy (Quickbags)
  • Arsalan (arslinnn)
  • Bobdog
  • Dom (Dominic; Dom_Mastro10)
  • Don Juan
  • Edu Trades
  • James (Stockwonk)
  • Jim (Jim37 / zhangji37)
  • Kyle Williams
  • Mallik (TQQQTrader)
  • Mike Huddie
  • Naoufel
  • Sean Rechtman
  • Shahzad (Siylenia)
  • Strati (Stratataaa)
  • Tim / Trading With Tim
  • Trader YC (Chill Trading)
  • Xavier Comas (Xavi)
  • Zoo (captioned name, uncertain spelling)
Distinct speaker count
21

Selected evidence: 21 distinct speakers, including 21 guests, in 21 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S13-I005 S17-I004 S18-I013 S18-I014 S34-I010 S05-I011 S07-I015 S07-I022 S08-I020 S12-I004 S12-I005 S15-I004 S15-I005 S15-I032 S39-I009 S10-I002 S10-I003 S10-I008 S11-I007 S19-I022 S25-I024 S26-I004 S27-I004 S27-I005 S28-I033 S35-I006 S37-I032 S33-I016 S38-I003 S38-I010

A short trading session can hide substantial research work

Limited screen time appears alongside premarket preparation, years of observation, custom research pipelines, continuous system mining or end-of-day supervision. It is not evidence that the whole practice requires only the advertised trading hour.

ELI5: The performance happens briefly; preparation can take much longer.

Conditions and exceptions
Separate learning time, research, preparation, live execution and review.
Opposing or qualifying evidence
Some experienced traders do have relatively light current management routines, but their capital, discretion and prior learning are not free inputs for a follower.
Operational implication
Proposed study log: measure total effort rather than just minutes with an open position.
Classification
Analyst synthesis of attributed statements and experiences; not a demonstrated trading law
Supporting speakers
  • Alex Temiz
  • Andrey (N0pr3s3n7)
  • Don Juan
  • Humbled Trader
  • James (Stockwonk)
  • Lucas Marin
  • Mallik (TQQQTrader)
  • Naoufel
  • Sean Rechtman
  • The Trading Farmer
  • Tim / Trading With Tim
Distinct speaker count
11

Selected evidence: 11 distinct speakers, including 11 guests, in 11 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S02-I004 S02-I020 S21-I011 S34-I011 S34-I012 S05-I010 S08-I001 S08-I021 S15-I002 S09-I002 S16-I002 S25-I015 S32-I010 S37-I019

Execution costs and data handling can reverse a paper edge

Cents-per-share scalps are sensitive to commissions and spread. Backtested shorts need realistic borrow and stop fills. Halts can corrupt naive bar handling. Option multi-leg examples require contemporaneous quotes and executable package prices.

ELI5: A signal is not a fill, and a gross gain is not net profit.

Conditions and exceptions
Use the data granularity required by the method and treat unavailable borrow or quotes as unavailable trades.
Opposing or qualifying evidence
A slower method may be less sensitive to latency but remains exposed to gaps, financing and model conventions.
Operational implication
Proposed stress test: widen cost and delay assumptions, remove impossible fills, and report the point at which expectancy disappears.
Classification
Analyst synthesis of attributed statements and experiences; not a demonstrated trading law
Supporting speakers
  • Adam Gefvert
  • Andrey (N0pr3s3n7)
  • Arsalan (arslinnn)
  • Binh (caption: Ben)
  • Brandon (BMAC)
  • James (Stockwonk)
  • Jim (Jim37 / zhangji37)
  • Mallik (TQQQTrader)
  • Marcelo (MightyStocks)
  • Mike Huddie
  • Ravish
  • Strati (Stratataaa)
  • The Trading Farmer
  • Tim / Trading With Tim
  • Trader YC (Chill Trading)
Distinct speaker count
15

Selected evidence: 15 distinct speakers, including 15 guests, in 15 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S03-I003 S03-I019 S03-I026 S14-I026 S18-I019 S21-I010 S30-I034 S08-I004 S08-I013 S15-I029 S39-I011 S39-I019 S10-I003 S16-I013 S16-I016 S16-I020 S19-I011 S19-I018 S19-I030 S26-I016 S29-I032 S37-I023 S38-I021

Automation changes the location of judgment

The corpus separates rule-based signals, automated order execution, system mining and AI-assisted coding. The human still chooses data, parameters, sizing, overrides and retirement rules. Mechanical execution can improve adherence without proving that the underlying rule has an edge.

ELI5: A robot can follow a weak plan perfectly.

Conditions and exceptions
Audit both the trading rules and the surrounding operating process.
Opposing or qualifying evidence
Some discretionary traders intentionally rely on tape nuance; full automation may remove information central to their method.
Operational implication
Proposed first automation target: data collection, replay and rule-consistency checks, followed by a simulator. No live trading deployment follows from these interviews.
Classification
Analyst synthesis of attributed statements and experiences; not a demonstrated trading law
Supporting speakers
  • Binh (caption: Ben)
  • Jim (Jim37 / zhangji37)
  • Mallik (TQQQTrader)
  • Naoufel
  • Shahzad (Siylenia)
Distinct speaker count
5

Selected evidence: 5 distinct speakers, including 5 guests, in 5 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S17-I008 S17-I020 S17-I030 S17-I033 S18-I006 S18-I011 S34-I007 S34-I021 S34-I023 S29-I030 S37-I015 S37-I017 S37-I018 S37-I021 S37-I024 S37-I038

Keep hypothesis generation separate from evidence

Backtests, screen examples and retrospective explanations can generate ideas but are vulnerable to repeated search and favorable example selection. Naoufel describes incubation; Jim reports a long test but omits costs in one statistic; Ravish discusses a tiny event sample. The amount and quality of unseen evidence matter separately.

ELI5: Do not grade a strategy on the examples used to invent it.

Conditions and exceptions
Freeze candidate rules and selection decisions before evaluating the holdout.
Opposing or qualifying evidence
A long backtest can still be overfit; a short live sample can still be lucky. Neither duration alone establishes validity.
Operational implication
Proposed research log: retain rejected candidates, candidate counts, parameter changes and every holdout access; add prospective paper observations.
Classification
Analyst synthesis of attributed statements and experiences; not a demonstrated trading law
Supporting speakers
  • Binh (caption: Ben)
  • Frank
  • James (Stockwonk)
  • Jim (Jim37 / zhangji37)
  • Justin (TBOWS)
  • Kyle Williams
  • Mallik (TQQQTrader)
  • Naoufel
  • Ravish
  • Rob Booker
  • Sean Rechtman
Distinct speaker count
11

Selected evidence: 11 distinct speakers, including 11 guests, in 11 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S18-I019 S18-I024 S23-I011 S30-I020 S34-I015 S34-I025 S06-I015 S06-I021 S15-I006 S15-I018 S15-I019 S15-I030 S11-I003 S20-I002 S25-I025 S29-I023 S37-I010 S37-I029 S37-I030 S37-I031 S37-I038

Outcome and decision quality are separable

Frank describes a broker mistake rescuing a bad decision; Yanni acknowledges favorable tariff-news luck; Andrey treats a correctly executed maximum-stop loss as part of the plan. These examples challenge judging decisions solely by whether they made money.

ELI5: A bad decision can win, and a sound decision can lose.

Conditions and exceptions
A process score requires a predeclared rule or rationale, not a story invented after the outcome.
Opposing or qualifying evidence
A consistently followed rule can itself be poor. Process fidelity is necessary for learning, not sufficient for profitability.
Operational implication
Proposed review: score rule adherence before revealing P&L, then separately evaluate the rule distribution.
Classification
Analyst synthesis of attributed statements and experiences; not a demonstrated trading law
Supporting speakers
  • Adam Gefvert
  • Aiden (Below Trading)
  • Andrey (N0pr3s3n7)
  • Edu Trades
  • Frank
  • Kyle Williams
  • Stan (Stan100X)
  • Strati (Stratataaa)
  • Xavier Comas (Xavi)
  • Yanni
  • Zoo (captioned name, uncertain spelling)
Distinct speaker count
11

Selected evidence: 11 distinct speakers, including 11 guests, in 11 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S23-I006 S23-I010 S22-I020 S21-I024 S21-I026 S07-I021 S24-I027 S24-I031 S26-I010 S27-I023 S27-I024 S31-I020 S35-I019 S33-I010 S38-I007

Review should reconstruct the actual decision and execution

Recordings, trade exports, separate manual/algorithm logs and reconciliation against a test database serve different purposes. They can reveal whether losses came from the hypothesis, discretionary overrides, entry timing, costs or exits. A generic journal entry such as lacked discipline cannot distinguish these causes.

ELI5: Replay what happened closely enough to find what actually broke.

Conditions and exceptions
Record timestamped information available at the time and retain losing examples.
Opposing or qualifying evidence
Selective winner clips and remembered explanations omit the denominator and can distort the learning sample.
Operational implication
Proposed journal schema: setup version, context, information time, intended order, actual fills, slippage, risk path, adherence, outcome and review action.
Classification
Analyst synthesis of attributed statements and experiences; not a demonstrated trading law
Supporting speakers
  • Andrey (N0pr3s3n7)
  • Binh (caption: Ben)
  • Brandon (BMAC)
  • Dom (Dominic; Dom_Mastro10)
  • Don Juan
  • Humbled Trader
  • James (Stockwonk)
  • Kyle Williams
  • Lucas Marin
  • Marcelo (MightyStocks)
  • Naoufel
  • Rob Booker
  • Sean Rechtman
  • Shahzad (Siylenia)
  • Stephen Johnson (host)
  • Strati (Stratataaa)
  • Tim / Trading With Tim
  • Zoo (captioned name, uncertain spelling)
Distinct speaker count
18

Selected evidence: 18 distinct speakers, including 17 guests, in 18 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S03-I007 S03-I010 S14-I012 S14-I027 S17-I022 S21-I025 S34-I019 S05-I004 S05-I012 S05-I020 S06-I012 S06-I017 S08-I009 S12-I003 S12-I016 S12-I023 S12-I024 S12-I025 S15-I028 S24-I004 S09-I005 S11-I001 S11-I019 S25-I014 S29-I011 S32-I009 S33-I003 S33-I028 S38-I008 S38-I028

Position size is both an information and behavior problem

Stable size can make learning and comparison clearer; opportunity-weighted size aims to exploit rare stronger setups; drawdown cuts seek survival at the cost of slower recovery. The interviews do not support collapsing these into a universal sizing rule.

ELI5: Size should follow an explicit reason that you can later test.

Conditions and exceptions
Opportunity quality needs an observable definition, and portfolio risk must include concurrent positions.
Opposing or qualifying evidence
Retrospectively calling winners A-plus is not an ex-ante sizing model. A smoother simulated equity curve may reflect overfit thresholds.
Operational implication
Proposed comparison: fixed unit risk versus preregistered quality tiers and drawdown variants, using the same underlying opportunities.
Classification
Analyst synthesis of attributed statements and experiences; not a demonstrated trading law
Supporting speakers
  • Aiden (Below Trading)
  • Arsalan (arslinnn)
  • Binh (caption: Ben)
  • Brandon (BMAC)
  • Dom (Dominic; Dom_Mastro10)
  • Kyle Williams
  • Lucas Marin
  • Naoufel
  • Sean Rechtman
  • Strati (Stratataaa)
  • The Trading Farmer
  • Tim / Trading With Tim
  • Yanni
  • Zoo (captioned name, uncertain spelling)
Distinct speaker count
14

Selected evidence: 14 distinct speakers, including 14 guests, in 14 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S14-I002 S14-I028 S22-I004 S22-I009 S22-I011 S34-I019 S08-I015 S12-I012 S12-I028 S24-I017 S24-I018 S24-I028 S16-I005 S19-I025 S25-I006 S25-I028 S29-I017 S29-I024 S32-I011 S35-I003 S33-I007 S38-I018

Constraints and personality shape feasible methods

Quick tape scalping, longer trend systems and options management impose different demands. Family obligations, side income, employment fatigue and individual tolerance for losing streaks appear in the interviews. These are explanations of fit, not a basis for inferring the reader capital or tolerance.

ELI5: A method you cannot reliably follow is not yet usable for you.

Conditions and exceptions
Evaluate time window, alertness, data access and stress behavior before choosing an execution style.
Opposing or qualifying evidence
Lifestyle fit does not establish positive expectancy. A low-screen-time method can still hide large overnight exposure.
Operational implication
Proposed exercise: compare required attention and worst-case intervention windows against your actual schedule, without assuming any capital amount.
Classification
Analyst synthesis of attributed statements and experiences; not a demonstrated trading law
Supporting speakers
  • Aiden (Below Trading)
  • Andrey (N0pr3s3n7)
  • Brandon (BMAC)
  • Don Juan
  • Humbled Trader
  • James (Stockwonk)
  • Justin (TBOWS)
  • Lucas Marin
  • Mallik (TQQQTrader)
  • Shahzad (Siylenia)
  • Stephen Johnson (host)
  • Strati (Stratataaa)
  • The Trading Farmer
  • Tim / Trading With Tim
  • Zoo (captioned name, uncertain spelling)
Distinct speaker count
15

Selected evidence: 15 distinct speakers, including 14 guests, in 15 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S14-I011 S14-I014 S17-I002 S17-I019 S21-I002 S21-I003 S34-I027 S05-I002 S08-I025 S15-I012 S15-I013 S09-I002 S09-I010 S16-I027 S20-I003 S32-I007 S32-I008 S35-I023 S37-I003 S37-I005 S33-I009 S38-I002 S38-I010

Verification, teaching quality and replicability are separate

A visible trading record can support a narrow credibility question, but it does not prove that the taught rule generated all reported profits or that the teacher explains it well. Promoted courses, subscriptions and selected success stories create reasons to request fuller evidence.

ELI5: A good trader, a good teacher and a copyable strategy are three different things.

Conditions and exceptions
Ask what account and time window are covered, whether losses/open positions are included, and whether the disclosed rules match live practice.
Opposing or qualifying evidence
Unverified does not mean false; verified account activity does not mean every educational claim is proved.
Operational implication
Proposed due diligence: compare complete unedited examples, rule documentation and net marked-to-market records rather than lifestyle marketing.
Classification
Analyst synthesis of attributed statements and experiences; not a demonstrated trading law
Supporting speakers
  • Alex Temiz
  • Andy (Quickbags)
  • Binh (caption: Ben)
  • Brandon (BMAC)
  • Edu Trades
  • Humbled Trader
  • James (Stockwonk)
  • Kyle Williams
  • Mike Huddie
  • Naoufel
  • Rob Booker
  • Sean Rechtman
  • Shahzad (Siylenia)
  • Stephen Johnson (host)
  • Strati (Stratataaa)
  • The Trading Farmer
  • Tim / Trading With Tim
  • Trader YC (Chill Trading)
  • Zoo (captioned name, uncertain spelling)
Distinct speaker count
19

Selected evidence: 19 distinct speakers, including 18 guests, in 20 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S01-I024 S02-I026 S13-I016 S14-I017 S17-I024 S34-I013 S34-I020 S06-I025 S07-I011 S07-I012 S08-I022 S15-I023 S39-I020 S39-I022 S09-I017 S10-I011 S11-I021 S16-I022 S16-I024 S16-I026 S25-I003 S29-I031 S35-I009 S33-I030 S38-I031

Ownership-based options and short-term risk exits use different invalidations

Ravenloft can accept assignment and hold underwater shares, whereas tape scalpers exit when immediate follow-through fails. Neutral option structures can also acquire substantial directional exposure as price moves. The word patience has no common risk meaning across these styles.

ELI5: Waiting can be part of a plan or a hidden refusal to exit.

Conditions and exceptions
For ownership, specify business-thesis failure and concentration limits; for spreads, include assignment, expiry and gap scenarios; for scalps, specify timing invalidation.
Opposing or qualifying evidence
Cash security or defined option wings do not eliminate the underlying economic loss. Missing exit rules prevent faithful replication.
Operational implication
Proposed stress review: trace every state after assignment, adverse gaps, short expiry and failed liquidity rather than examining only entry payoff.
Classification
Analyst synthesis of attributed statements and experiences; not a demonstrated trading law
Supporting speakers
  • Bobdog
  • James (Stockwonk)
  • Justin (TBOWS)
  • Kyle Williams
  • Marcelo (MightyStocks)
  • Ravenloft
  • Ravish
  • Rob Booker
  • Sean Rechtman
  • Stan (Stan100X)
  • Zoo (captioned name, uncertain spelling)
Distinct speaker count
11

Selected evidence: 11 distinct speakers, including 11 guests, in 11 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S01-I010 S01-I011 S01-I017 S03-I008 S30-I016 S30-I029 S06-I010 S15-I026 S24-I013 S24-I025 S24-I032 S20-I030 S25-I029 S28-I013 S28-I015 S31-I018 S31-I020 S31-I023 S33-I011 S33-I014 S33-I018 S33-I023

Faithful automation requires the omitted operational rules

Some interviews name measurable conditions yet omit order timing, risk budgets, data construction or exit details. Others explicitly withhold a proprietary model. A researcher can define a new testable variant, but must not label that variant as an exact reproduction.

ELI5: A list of ingredients is not the whole recipe.

Conditions and exceptions
Required specification includes information timestamps, universe, entries, invalidation, exits, sizing, concurrent exposure and operational failures.
Opposing or qualifying evidence
An insufficiently specified method can still teach decision-making. Replicability is an information assessment, not a skill ranking.
Operational implication
Proposed gate: maintain separate columns for source rule, ambiguity and analyst choice; stop claims of exact replication at the first material unresolved choice.
Classification
Analyst synthesis of attributed statements and experiences; not a demonstrated trading law
Supporting speakers
  • Binh (caption: Ben)
  • Bobdog
  • Edu Trades
  • Frank
  • James (Stockwonk)
  • Jim (Jim37 / zhangji37)
  • Justin (TBOWS)
  • Mallik (TQQQTrader)
  • Mike Huddie
  • Naoufel
  • Pace
  • Ravish
  • Rob Booker
  • Shahzad (Siylenia)
  • Strati (Stratataaa)
  • Xavier Comas (Xavi)
  • Zoo (captioned name, uncertain spelling)
Distinct speaker count
17

Selected evidence: 17 distinct speakers, including 17 guests, in 17 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S17-I016 S17-I017 S18-I023 S23-I017 S30-I018 S30-I034 S34-I026 S06-I020 S07-I018 S15-I030 S36-I008 S10-I017 S20-I024 S27-I016 S28-I007 S28-I034 S29-I007 S29-I027 S37-I007 S37-I028 S33-I024 S33-I029 S38-I017

Protect the ability to keep learning

Small real-money trials, simulation, alternate income, withdrawals and periods away from live trading serve distinct purposes. They can preserve capital or reduce pressure, but do not create an edge. Several comeback stories relied on work outside trading and substantial time.

ELI5: Keep a bad learning period from ending the whole experiment.

Conditions and exceptions
Tiny size still creates emotional pressure for some people; access constraints, fees and simulation realism differ. The reader capital and tolerance are not assumed.
Operational implication
Proposed exercise: specify learning objectives and a stopping rule before increasing exposure; separate household financing from a research account.
Classification
Analyst synthesis; source reports do not establish causal effectiveness
Supporting speakers
  • Adam Gefvert
  • Aiden (Below Trading)
  • Andrey (N0pr3s3n7)
  • Andy (Quickbags)
  • Edu Trades
  • Humbled Trader
  • James (Stockwonk)
  • Lucas Marin
  • Marcelo (MightyStocks)
  • Pace
  • Stan (Stan100X)
  • Strati (Stratataaa)
  • The Trading Farmer
  • Tim / Trading With Tim
  • Trader YC (Chill Trading)
  • Xavier Comas (Xavi)
  • Zoo (captioned name, uncertain spelling)
Distinct speaker count
17

Selected evidence: 17 distinct speakers, including 17 guests, in 17 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S03-I005 S07-I023 S08-I025 S13-I020 S15-I009 S15-I014 S15-I020 S21-I028 S36-I019 S39-I016 S09-I006 S16-I001 S16-I028 S16-I029 S26-I007 S27-I031 S31-I026 S32-I014 S35-I007 S35-I029 S33-I009 S38-I010

Overnight holds require a separate thesis and risk review

Juan overnight longs, Kyle overnight shorts, Dom anticipatory breakouts and options positions can all be held outside the regular session, but their payoff and failure modes differ. Some interview examples include offerings, squeezes or news that defeat the anticipated move. A profitable intraday cushion does not cap the next gap.

ELI5: Closing the laptop does not close the risk.

Conditions and exceptions
Preserve long/short direction, catalyst, earnings, offering, liquidity and borrow exposures. Do not transfer one trader overnight checklist to another method.
Operational implication
Proposed stress table: gap against position, no executable exit, borrow change, assignment or corporate action; show the resulting portfolio exposure and missing controls.
Classification
Analyst synthesis; source reports do not establish causal effectiveness
Supporting speakers
  • Arsalan (arslinnn)
  • Dom (Dominic; Dom_Mastro10)
  • Don Juan
  • James (Stockwonk)
  • Kyle Williams
  • Ravish
  • Sean Rechtman
  • Stan (Stan100X)
  • Xavier Comas (Xavi)
  • Zoo (captioned name, uncertain spelling)
Distinct speaker count
10

Selected evidence: 10 distinct speakers, including 10 guests, in 10 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S05-I016 S05-I017 S05-I018 S12-I010 S15-I016 S24-I013 S24-I025 S24-I032 S30-I016 S19-I009 S25-I029 S27-I018 S31-I018 S31-I020 S33-I014 S33-I018

A setup can fail before the market eventually agrees

Edu backside short and Frank promotional-stock short show that being right about eventual direction can coexist with unacceptable interim losses. Kyle stop/reassessment sequence preserves the alternative: exiting a failed attempt and evaluating a new one without treating prior losses as proof the thesis must pay.

ELI5: Eventually right can still mean ruined first.

Conditions and exceptions
Different attempts can be distinct setups, but ticker-level and daily losses still aggregate.
Operational implication
Proposed review: draw the entire adverse path, not just the final chart; compare intended risk with actual capital needed to survive it.
Classification
Analyst synthesis; source reports do not establish causal effectiveness
Supporting speakers
  • Adam Gefvert
  • Alex Temiz
  • Arsalan (arslinnn)
  • Binh (caption: Ben)
  • Edu Trades
  • Frank
  • Kyle Williams
  • Strati (Stratataaa)
Distinct speaker count
8

Selected evidence: 8 distinct speakers, including 8 guests, in 10 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S07-I021 S23-I003 S24-I010 S24-I023 S24-I024 S02-I013 S11-I009 S11-I012 S19-I010 S20-I008 S26-I019 S29-I016 S38-I016

Behavior after the first mistake can cause the larger loss

Missed entries, FOMO, boredom, tilt and lost self-confidence can lead to chasing or repeated rule changes. The interviews offer different mechanisms: breaks, smaller size, tagged FOMO trades, written emotional journals and external broker controls. These are concrete practices rather than a generic command to be disciplined.

ELI5: Catch the chain reaction before one error becomes many.

Conditions and exceptions
A proposed broker limit in an interview is not necessarily a control the guest actually uses. Mental limits can be breached; platform controls have their own scope and implementation limits.
Operational implication
Proposed journal: identify the first deviation and subsequent decisions, then test a predefined interruption rule in replay or paper practice.
Classification
Analyst synthesis; source reports do not establish causal effectiveness
Supporting speakers
  • Adam Gefvert
  • Arsalan (arslinnn)
  • Dom (Dominic; Dom_Mastro10)
  • Don Juan
  • Humbled Trader
  • Justin (TBOWS)
  • Kyle Williams
  • Stan (Stan100X)
  • Strati (Stratataaa)
  • Tim / Trading With Tim
  • Xavier Comas (Xavi)
  • Zoo (captioned name, uncertain spelling)
Distinct speaker count
12

Selected evidence: 12 distinct speakers, including 12 guests, in 14 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S05-I003 S05-I020 S05-I021 S08-I016 S08-I017 S12-I014 S12-I016 S12-I027 S12-I030 S12-I031 S12-I032 S24-I031 S09-I007 S11-I010 S11-I011 S19-I017 S20-I015 S26-I008 S27-I022 S31-I007 S31-I028 S35-I020 S33-I004 S33-I008 S38-I007 S38-I030

Educational relevance improves when failures and exceptions are inspectable

An interview that shows a loss, revises a rule or explains an exception can be more useful for learning than a larger profit headline. This is a ranking principle for explanation quality, not a claim about who is the best trader.

ELI5: Study the explanation you can challenge, not the biggest number.

Conditions and exceptions
Missing screenshots, hindsight and selected examples still limit a detailed story. More detail does not establish a better strategy.
Operational implication
Proposed study priority: choose an explanation with observable inputs, explicit invalidation, a failed example and clear missing information, then compare it with independent prospective records.
Classification
Analyst synthesis; source reports do not establish causal effectiveness
Supporting speakers
  • Aiden (Below Trading)
  • Andrey (N0pr3s3n7)
  • Binh (caption: Ben)
  • Dom (Dominic; Dom_Mastro10)
  • Kyle Williams
  • Mike Huddie
  • Ravish
  • Rob Booker
  • Stan (Stan100X)
  • The Trading Farmer
  • Tim / Trading With Tim
  • Zoo (captioned name, uncertain spelling)
Distinct speaker count
12

Selected evidence: 12 distinct speakers, including 12 guests, in 12 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S06-I017 S08-I022 S12-I025 S21-I024 S24-I022 S24-I025 S30-I035 S10-I006 S16-I018 S29-I030 S31-I024 S35-I030 S33-I033

Named tools and historical access advantages can expire

Broker terms, commissions, data services, product features, historical carry conditions and legal/regulatory discussions are part of the interview context. They can explain past feasibility without establishing current availability or permission.

ELI5: An old tool or account advantage may no longer exist.

Conditions and exceptions
No current broker, product, price, tax or regulatory verification was performed because the research boundary is the supplied corpus.
Operational implication
Before practical use, verify relevant present-day terms against primary documentation; do not treat historical workarounds as instructions.
Classification
Analyst synthesis; source reports do not establish causal effectiveness
Supporting speakers
  • Alex Temiz
  • Arsalan (arslinnn)
  • Binh (caption: Ben)
  • Humbled Trader
  • James (Stockwonk)
  • Jim (Jim37 / zhangji37)
  • Lucas Marin
  • Marcelo (MightyStocks)
  • Pace
  • Rob Booker
  • Shahzad (Siylenia)
  • Strati (Stratataaa)
  • Trader YC (Chill Trading)
  • Zoo (captioned name, uncertain spelling)
Distinct speaker count
14

Selected evidence: 14 distinct speakers, including 14 guests, in 14 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S02-I003 S02-I023 S03-I026 S06-I003 S06-I004 S06-I007 S15-I015 S17-I032 S18-I007 S36-I020 S39-I019 S09-I013 S19-I006 S29-I003 S32-I015 S32-I024 S33-I023 S38-I023

Participant stories are hypotheses unless the data identify the participant

Trapped shorts, institutional accumulation, market-maker intent and whale activity can provide a causal story. The interviews usually observe prices, volume or proprietary indicator labels, not the actual identity and intent of every counterparty. Huddie explicitly permits not knowing why a pattern changes.

ELI5: A price chart can suggest who is acting without proving who they are.

Conditions and exceptions
Do not turn allegations of schemes or a proxy for buying pressure into verified misconduct or identified institutional flow.
Operational implication
Proposed test: specify an observable proxy and rival explanations; report prediction performance without claiming access to hidden intent.
Classification
Analyst synthesis of source claims and limitations; not an independently established outcome
Supporting speakers
  • Adam Gefvert
  • Bobdog
  • Don Juan
  • Lucas Marin
  • Marcelo (MightyStocks)
  • Mike Huddie
  • Sean Rechtman
  • Stephen Johnson (host)
  • Strati (Stratataaa)
  • Zoo (captioned name, uncertain spelling)
Distinct speaker count
10

Selected evidence: 10 distinct speakers, including 9 guests, in 10 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S03-I021 S05-I008 S10-I006 S25-I008 S26-I022 S28-I009 S32-I015 S35-I017 S33-I020 S38-I019 S38-I032

A training exercise is not a disclosed production strategy

The Farmer explicitly separates counting to three from the method behind his results. Naoufel demonstrates a simple calendar example while withholding the full portfolio filter. Illustrations, hypotheticals and entry-point learning drills should not be promoted into complete algorithms.

ELI5: Practice drills teach a skill; they do not promise the same trading results.

Conditions and exceptions
The skill practiced can be useful even if the exercise has no expected trading profit.
Operational implication
Label each example as actual practice, retrospective illustration, proposed exercise or incomplete concept before trying to reproduce it.
Classification
Analyst synthesis of source claims and limitations; not an independently established outcome
Supporting speakers
  • James (Stockwonk)
  • Naoufel
  • Ravish
  • The Trading Farmer
Distinct speaker count
4

Selected evidence: 4 distinct speakers, including 4 guests, in 4 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S16-I018 S15-I033 S34-I016 S34-I026 S30-I035

Concentrated business conviction changes when an expiry is added

Stan business research and management-delivery thesis led first to stock ownership and later to a concentrated LEAPS position. An eventual business success does not ensure the option survives its deadline. He admits zero-outcome risk and lucky timing, while the story contains a deep drawdown and earlier partial profits.

ELI5: A good company may recover after your option has already expired.

Conditions and exceptions
This is a minority high-conviction investment story, not evidence that concentration or a low win rate should be copied. His closing advice is more cautious than his own path.
Operational implication
Proposed research: separate business-thesis evidence from contract terms, expiry, volatility, financing and position survival. Compare stock and option paths without selecting only the successful ending.
Classification
Analyst synthesis of source claims and limitations; not an independently established outcome
Supporting speakers
  • Stan (Stan100X)
  • Zoo (captioned name, uncertain spelling)
Distinct speaker count
2

Selected evidence: 2 distinct speakers, including 2 guests, in 2 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S31-I012 S31-I014 S31-I018 S31-I020 S31-I023 S31-I024 S33-I012 S33-I019 S33-I026

Success-selected interviews cannot estimate the success rate of a method

Leaderboard and headline selection, stories about successful students and omissions of earlier failures produce an unknown denominator. The corpus is informative about these speakers reported decisions, not about how many people tried the same ideas and failed.

ELI5: Hearing from the finishers does not tell you how many people started.

Conditions and exceptions
This limitation does not imply the speakers are dishonest. It limits population-level conclusions and claims that persistence guarantees success.
Operational implication
Define a starting cohort, capital flows, costs, time spent, attrition and complete histories before estimating a success probability.
Classification
Analyst synthesis of source claims and limitations; not an independently established outcome
Supporting speakers
  • Alex Temiz
  • Andrey (N0pr3s3n7)
  • Naoufel
  • Stan (Stan100X)
  • The Trading Farmer
  • Trader YC (Chill Trading)
Distinct speaker count
6

Selected evidence: 6 distinct speakers, including 6 guests, in 7 videos. Repeated appearances and host repetitions count once per person. These counts measure the cited evidence set, not prevalence across all interviews.

S02-I022 S16-I022 S21-I006 S31-I001 S34-I024 S39-I002 S38-I027

Compare the approaches

Top

Strategy families: requirements and replication limits

Family Source examples Inputs, execution and capital dependencies What remains missing Educational use and reasoning
Tape-driven long scalp Level 2, prints, live spreads, low-cost fast orders and concentrated attention; numerical minimum capital is not consistently stated. Exact tape classifier, latency and portfolio risk policy. Replay and discretionary practice. Bar-only testing cannot establish fills or reproduce the observed judgment.
After-hours long / next-premarket exit Extended-hours data and executable quotes; overnight news exposure and possibly poor liquidity. A complete candidate universe, hard risk budget and exception logic. Candidate-event study before paper practice. A strong closing chart is not enough to establish overnight expectancy.
Multi-day momentum and swing Daily context, theme/sector leadership, price levels and overnight capacity. Options variants add expiry/Greek exposure. All exit conventions, quality thresholds and combined portfolio exposure. Structured replay and partial historical testing; some triggers are measurable while selection remains discretionary.
Contextual small-cap short Point-in-time news/fundamentals, borrow, liquidity, daily extension and intraday weakness. Precise entry and stop gates, add limits, locate treatment and gap loss budget. Discretionary research. Cheap-looking or weak businesses can still squeeze far beyond expected invalidation.
Statistical gapper / parabolic short Historical intraday data including halts, delistings, borrow and realistic short execution; wide price stops require compatible size. Complete code, all filters, per-account exposure and executable cost assumptions. Partially specified systematic research; headline hit rates are inadequate for replication.
Algorithmic futures trend Intraday futures/intermarket inputs, signal implementation and execution infrastructure. Composite construction, ambiguous EMA setting, full exits and portfolio sizing. Study rule specification and governance. The interview does not release the full production algorithm.
Mined algorithm portfolio / calendar example Versioned historical data, candidate logs, out-of-sample evaluation and ongoing supervision. Robustness filter and portfolio logic; the simple calendar example also omits execution conventions. Useful compact research exercise when analyst choices are labeled; not a turnkey strategy.
Ownership-based premium selling Option chains, suitable ownership capital, assignment management and stock-level valuation judgment. Security-selection test, premium denominator, concentration limit and business-thesis exit. Study the full lifecycle and marked-to-market downside before interpreting income or closed win rate.
Range-selling and calendar options Multi-expiry quote data, Greek and payoff modeling, liquidity, assignment and expiry operations. Some leg/timing inconsistencies, adjustment rules and portfolio exposure. Paper modeling of explicitly defined examples. Neutral labels do not mean direction-independent profit.
Proprietary option-valuation model Underlying-specific model and Greek management not released. The central valuation model itself. Concept only: insufficient detail for replication. Useful mainly for skeptical research reasoning.
After-hours structural short Extended-hours quotes, news context, clear lower-high or failed-spike reference, borrow and exit hotkeys. Exact classifier, full account risk limits and reliable forced-cover identification. Discretionary replay. A convincing trapped-buyer location can still have unacceptable stop distance.
Early premarket short variants Thin-session quotes, small probes, evidence of weakness and session-specific risk. Precise catastrophic stop, slippage/borrow assumptions and all continuation invalidations. Research only until execution and tail risks are specified; the guest explicitly warns beginners about this session.
Failed-short long / first-green-day context Evidence that expected breakdown fails, support, time, volume and a tradable exit. Participant pressure is inferred; setup and sizing remain discretionary. Blind replay with rejected examples. Do not automatically buy a short watchlist or treat low volume as uniformly beneficial.
Metal exhaustion through futures or purchased options Daily extension, session transitions, active-market/proxy comparison and contract-specific risk. Extension thresholds are unspecified; gamma method withheld; no full option selection model. Contextual study and separate contract modeling, not a three-indicator top-picking algorithm.
Leveraged-ETF target allocation Daily data, near-close scheduling, account reconciliation, telemetry and TQQQ/SQQQ exposures. Seven complete models, selection controls, historical product construction and retirement criteria. Useful automation-architecture research; not faithful strategy replication from the interview.
Business conviction with concentrated LEAPS Issuer research, management execution, contract terms, time horizon and ability to survive drawdowns. Repeatable valuation/entry rule, portfolio risk budget and expiry-sensitive failure rule. A case study in thesis versus instrument risk. A successful ending does not validate concentration.
Pre-earnings momentum calls Known report calendar, developing momentum, contemporaneous option term structure and liquidity. Exact entry and sale timing, strike/expiry selection and proof of net drift/IV advantage. Event-aligned historical research and paper observation. Contract expiry after earnings does not mean holding through the announcement.
Proprietary-indicator premium selling Weekly review, business selection and private bullish/bearish star signals. Indicator formula, strike/size rules, discretionary overrides and portfolio exit limits. Concept only for faithful replication; study assignment and concentration separately from premium receipts.

Risk management: same words, different mechanisms

Approach Source examples Mechanism and why it matters Missing or opposing evidence
Immediate scalp invalidation Reduces time in a failed momentum attempt; does not guarantee a fill at the intended price. Tim and Farmer have named longer-hold exceptions; these cannot be silently dropped.
Constant dollar risk Share count changes with distance to a meaningful invalidation, rather than forcing the narrowest stop to maximize shares. Slippage, gaps and repeated stop-outs can still raise cumulative loss.
Wide price stop with smaller position A price move percentage is different from the proportion of account at risk. Short squeeze tails, correlated positions, unavailable borrow and fills beyond the stop remain material.
Broker max-loss control External backup can interrupt emotional behavior. Dom discussion is a host suggestion, not a guest-implemented feature; exact broker scope must be verified currently.
Mental daily limit A stated target is behavior-dependent and can change. It is not equivalent to automatic liquidation or a guaranteed maximum loss.
Ownership / assignment Risk migrates from the option contract into stock ownership rather than disappearing. Closed wins do not reveal open losses; fundamental invalidation and concentration limits are absent.
Reduce after drawdown Smaller risk can preserve decision quality or reduce volatility, but slows recovery and changes the equity path. Some evidence is live personal practice; Naoufel allocation curves are retrospective simulations.
Withdraw capital / maintain other income Protects money outside the current risk pool or reduces pressure to force trades. Does not validate the trading edge and must remain separate from return calculations.
Portfolio drawdown liquidation Liquidates and pauses after a stated range of portfolio loss; the oversized example qualifies actual adherence. Anchor, valuation timing and exact threshold choice are absent, so this is not a fully specified automated rule.

Entry, exit and sizing philosophies

Style Source examples Entry and exit logic Sizing philosophy / unresolved issue
Undercut / tape reclaim Tim uses tape and near-immediate response; Sean defines a price invalidation in a different swing/option context. Do not assume identical stop distance or holding period just because both use a reclaim.
Confirmation adds after failed attempts Stop/reassess rather than keep an invalid original position; reduce remaining-range expectations late in a move. New confirmation does not erase earlier losses or remove cumulative exposure.
Wait through noise to scheduled exit A profitable open short can become a planned losing exit at the close. Whether the path is tolerable depends on a precommitted wide-stop and size policy.
Frontside versus backside scalp Direction and patience change with the perceived phase, but apparent backside can fail violently. Phase labels require an ex-ante observable definition; otherwise they become hindsight.
Trend continuation / leader swing Respect an observed trend or use a failed-break entry in chop. Position allocation differs from planned stop risk; overnight gaps can exceed that plan.
Wheel premium cycle Buy back some options early; accept assignment; discretionary timing of covered calls. Premium capture is not total portfolio return; strike and ownership limits remain underspecified.

Learning and review routines

Trader Source examples Routine and diagnosis Limit
Marcelo / Tim Record fast decisions and examine whether holding too long destroys a brief favorable entry. A recording can explain one trade; selected recordings do not establish a distribution.
Dom Combine manual spreadsheets, automated analytics and emotional journals; study the trader as well as the setup. Personal-performance segmentation can also overfit if categories are chosen after seeing results.
Andrey Own the research pipeline and reconcile actual execution with the database. Point-in-time data, halt handling and realistic fills are prerequisites.
Naoufel Mine candidates, incubate in simulation, supervise systems and test equity-sizing overlays. The complete robustness filter and overlay conventions are not disclosed.
James Test boundary cases and other historical periods; return to paper trading when needed. Rare patterns accumulate evidence slowly; many projects can create a data bottleneck.
Kyle / Yanni Reverse-engineer useful winners, inspect failures and discuss playbooks with peers. Retrospective explanation and peer agreement are not independent performance tests.
Mallik Versioned data, telemetry and target-position reconciliation make operating errors observable. Research selection bias, changing strategy composition and historical ETF construction still need separate validation.

Educational reading priority among selected starting points, not a skill ranking

Priority / explanation Source evidence Educational reasoning Exercise / limits
1. Kyle, detailed trade review Rich losing examples, stop/reassessment, rejected overnight exposure and changing bias. Reconstruct the complete sequence and cumulative risk, including unseen-account limitations.
2. Naoufel, research workflow Simple example plus explicit incubation and sizing research, with important missing conventions visible. Write a reproducibility specification without assuming same-close fills or correcting ambiguous ETF details.
3. Jim, systematic short architecture Useful inputs, stop-distance reasoning and explicit cost omission. Build a missing-rules and cost-sensitivity checklist; do not copy the large price stop.
4. Yanni, contextual checklist Speed, extension, theme, volume and an IPO exception make context inspectable. Blind-label eligible and rejected examples, distinguishing news luck from the setup.
5. Farmer / Tim, microstructure learning boundaries Explicit training-versus-production distinction and execution exceptions. Explain why text or bar replay cannot establish real Level 2 fills and reaction timing.

Disagreements and possible contextual explanations

Issue Contrasting practices or qualifications Possible context What remains unresolved Sources
Immediate stops versus very wide adverse-price tolerance
Tight reaction
Marcelo and BMAC need immediate continuation; Andy recommends hard stops.
Wide reaction
Jim and Andrey describe wide stops with a different holding horizon and research basis.
Scalp duration, expected path, size, cost and short squeeze exposure differ. No common net, risk-normalized data set compares these policies.
News-led discretion versus statistical simplification
Contextual research
Alex investigates why a stock moves; Yanni combines theme, speed and volume.
Reduced discretion
Andrey mostly excludes news, with a corporate-action exception.
One approach identifies a discretionary opportunity; the other tries to adhere to a historical selection model. The evidence cannot show which approach would perform better on the same eligible universe.
Stable size versus pressing exceptional opportunity
Stable comparisons
BMAC attributes scaling to more opportunities and emphasizes consistent size.
Asymmetric risk
Yanni allocates more risk to specifically defined exceptional opportunities.
Experience, opportunity distribution, capacity and confidence definitions matter. Most quality scores and account risk ceilings are not specified sufficiently for reproduction.
High win rate versus low win rate
Frequent winners
Option selling and wide-stop shorts may report high hit rates.
Infrequent larger winners
Naoufel favors lower-hit-rate breakout systems.
Payoff asymmetry, open losses, leverage and transaction costs change the meaning of hit rate. No common accounting basis or tail-stress study is supplied.
Automation removes some emotions but leaves human overrides
Benefit
Naoufel seeks automatic exits to reduce hesitation.
Qualification
Siylenia describes continued ambition, pressure and overrides; Jim also allows intervention.
Rule execution and system governance are separate decisions. Override policies and comparative records are not supplied.
Hold through adverse moves versus accept immediate invalidation
Same trader, different methods
Marcelo instant-bail scalps coexist with a separate large-drawdown Tesla swing story.
Ownership example
Ravenloft can retain assigned stock losses instead of closing them.
A trade must be labeled by its original horizon. It must not become an investment simply because it loses. The interviews do not supply a unified capital-allocation and thesis-failure rule for these behaviors.
Ignore headlines, except when a theme can dominate
General simplification
Rob and Andrey often discount ordinary news.
Explicit exceptions
Rob avoids persistent hot themes; Andrey recognizes corporate actions; Alex makes the cause of a move central.
The apparent disagreement narrows when ordinary headlines are separated from structural catalysts or regime-changing themes. No complete machine-readable classification or event filter is supplied.
Instant exit has a named best-setup exception
Ordinary scalp
Tim expects a quick response and can scratch early.
Preferred undercut/reclaim
His bread-and-butter setup can receive more time.
This is a within-trader exception, not evidence that instant-exit guidance can be ignored generally. The allowed extra time and maximum loss remain discretionary.
Hard-stop claims are qualified by other positions and adjustments
Current day trades
James describes hard stops.
Exceptions
A longer-term Tesla short uses a mental stop, and some existing stops can be modestly widened.
Position horizon and specific trade history must remain attached to each rule. The interview does not provide a fully quantified portfolio policy reconciling all variants.
First-red-day persistence versus weaker gap-down expectancy
Kyle
Broad behavior-change principles remain similar, with execution changes.
Huddie
His specifically defined overextended gap-down cohort looks much weaker after slippage.
Different pattern definitions, execution details, samples and career stages can explain part of the contrast. Neither complete dataset nor a shared definition is supplied. Do not declare the pattern permanently dead or unchanged.
A maximum loss that can still permit a partial exit
Stated control
Adam describes a new maximum loss as protection after severe account damage.
Qualification
He later permits possibly covering only part because of conviction; smaller blowups remain in the record.
A discretionary threshold is different from an externally enforced full liquidation. Scope, automation, remaining exposure and gap handling are not specified.
Detailed dilution research versus holding-history context
Adam
Reads filings, ownership, financing and economic substance.
Xavi
Explicitly does not claim dilution expertise; emphasizes prior holders, price/volume and recycling.
They are not interchangeable fundamental short models. No controlled comparison shows which information adds net value for either execution style.
Bullish confirmation versus conviction-led accumulation
Bobdog baseline
Adds more as bullish star confirmations appear.
Bobdog exceptions
Early RDW accumulation and weak-trend HOOD/OPEN ownership override that preference.
Long-term business conviction is an explicit exception to the momentum rule, not a clean mechanical star system. The proprietary indicator and discretion for overriding it are unavailable.
Similar after-hours titles, opposite trades and different people
Don juan
Long strong stocks after regular-session close, often exiting next premarket.
Lucas marin
Short failed extended-session strength with structural stop references.
S05 and S32 are different guests. A shared session label does not mean a common strategy. Both methods have missing portfolio risk and exact execution rules.
Automation confidence versus an undefined failure boundary
Mallik
Trusts the models to recover and reacts to signals rather than forecasting crashes.
Other governance approaches
Naoufel discusses replacing systems after abnormal drawdown; other traders return to paper or reduce size.
Model retirement, normal drawdown and operational emergency procedures are different decisions. A complete future failure criterion for Mallik strategy portfolio is not disclosed, and live and simulated histories differ.
Exit before earnings versus deliberately trade the earnings event
Zoo long-call run-up
Contract expires after the report, but the position is sold before it. Shares and short puts are explicitly different exceptions.
Ravish event structure
A separate earnings iron-fly example targets the event itself.
Instrument, exposure to the report gap, volatility thesis and payoff are different. The title never trades through earnings does not apply to every instrument. Both strategies leave entry/exit or adjustment details incomplete. The tiny event sample cannot establish reliable expectancy.
Cash and small size can enable practice or deliberately restrict it
Farmer
Small positions create room for more learning attempts.
Aiden
Cash-account constraints curbed revenge but also exhausted funds before a later valid attempt.
The constraint can be beneficial behaviorally and costly operationally. More trades is not inherently better. Account mechanics and costs require current verification; no common study compares the two learning policies.
A failed-short thesis is not permission to buy every short candidate
Strati
Waits for expected downside to fail and still uses ordinary long breakouts.
Short-fade approaches
Other guests try to participate in the downside itself.
Timing, liquidity, actual breakdown failure and risk location determine which thesis is being tested. Both can lose. Participant identity and forced-cover timing are usually inferred; no executable universal contrarian signal is disclosed.

Disagreements and context

Top

Immediate stops versus very wide adverse-price tolerance

Positions
Tight reaction
Marcelo and BMAC need immediate continuation; Andy recommends hard stops.
Wide reaction
Jim and Andrey describe wide stops with a different holding horizon and research basis.
Context
Scalp duration, expected path, size, cost and short squeeze exposure differ.
Unresolved
No common net, risk-normalized data set compares these policies.
Refs

News-led discretion versus statistical simplification

Positions
Contextual research
Alex investigates why a stock moves; Yanni combines theme, speed and volume.
Reduced discretion
Andrey mostly excludes news, with a corporate-action exception.
Context
One approach identifies a discretionary opportunity; the other tries to adhere to a historical selection model.
Unresolved
The evidence cannot show which approach would perform better on the same eligible universe.
Refs

Stable size versus pressing exceptional opportunity

Positions
Stable comparisons
BMAC attributes scaling to more opportunities and emphasizes consistent size.
Asymmetric risk
Yanni allocates more risk to specifically defined exceptional opportunities.
Context
Experience, opportunity distribution, capacity and confidence definitions matter.
Unresolved
Most quality scores and account risk ceilings are not specified sufficiently for reproduction.
Refs

High win rate versus low win rate

Positions
Frequent winners
Option selling and wide-stop shorts may report high hit rates.
Infrequent larger winners
Naoufel favors lower-hit-rate breakout systems.
Context
Payoff asymmetry, open losses, leverage and transaction costs change the meaning of hit rate.
Unresolved
No common accounting basis or tail-stress study is supplied.
Refs

Automation removes some emotions but leaves human overrides

Positions
Benefit
Naoufel seeks automatic exits to reduce hesitation.
Qualification
Siylenia describes continued ambition, pressure and overrides; Jim also allows intervention.
Context
Rule execution and system governance are separate decisions.
Unresolved
Override policies and comparative records are not supplied.
Refs

Hold through adverse moves versus accept immediate invalidation

Positions
Same trader, different methods
Marcelo instant-bail scalps coexist with a separate large-drawdown Tesla swing story.
Ownership example
Ravenloft can retain assigned stock losses instead of closing them.
Context
A trade must be labeled by its original horizon. It must not become an investment simply because it loses.
Unresolved
The interviews do not supply a unified capital-allocation and thesis-failure rule for these behaviors.
Refs

Ignore headlines, except when a theme can dominate

Positions
General simplification
Rob and Andrey often discount ordinary news.
Explicit exceptions
Rob avoids persistent hot themes; Andrey recognizes corporate actions; Alex makes the cause of a move central.
Context
The apparent disagreement narrows when ordinary headlines are separated from structural catalysts or regime-changing themes.
Unresolved
No complete machine-readable classification or event filter is supplied.
Refs

Instant exit has a named best-setup exception

Positions
Ordinary scalp
Tim expects a quick response and can scratch early.
Preferred undercut/reclaim
His bread-and-butter setup can receive more time.
Context
This is a within-trader exception, not evidence that instant-exit guidance can be ignored generally.
Unresolved
The allowed extra time and maximum loss remain discretionary.
Refs

Hard-stop claims are qualified by other positions and adjustments

Positions
Current day trades
James describes hard stops.
Exceptions
A longer-term Tesla short uses a mental stop, and some existing stops can be modestly widened.
Context
Position horizon and specific trade history must remain attached to each rule.
Unresolved
The interview does not provide a fully quantified portfolio policy reconciling all variants.
Refs

First-red-day persistence versus weaker gap-down expectancy

Positions
Kyle
Broad behavior-change principles remain similar, with execution changes.
Huddie
His specifically defined overextended gap-down cohort looks much weaker after slippage.
Context
Different pattern definitions, execution details, samples and career stages can explain part of the contrast.
Unresolved
Neither complete dataset nor a shared definition is supplied. Do not declare the pattern permanently dead or unchanged.
Refs

A maximum loss that can still permit a partial exit

Positions
Stated control
Adam describes a new maximum loss as protection after severe account damage.
Qualification
He later permits possibly covering only part because of conviction; smaller blowups remain in the record.
Context
A discretionary threshold is different from an externally enforced full liquidation.
Unresolved
Scope, automation, remaining exposure and gap handling are not specified.
Refs

Detailed dilution research versus holding-history context

Positions
Adam
Reads filings, ownership, financing and economic substance.
Xavi
Explicitly does not claim dilution expertise; emphasizes prior holders, price/volume and recycling.
Context
They are not interchangeable fundamental short models.
Unresolved
No controlled comparison shows which information adds net value for either execution style.
Refs

Bullish confirmation versus conviction-led accumulation

Positions
Bobdog baseline
Adds more as bullish star confirmations appear.
Bobdog exceptions
Early RDW accumulation and weak-trend HOOD/OPEN ownership override that preference.
Context
Long-term business conviction is an explicit exception to the momentum rule, not a clean mechanical star system.
Unresolved
The proprietary indicator and discretion for overriding it are unavailable.
Refs

Similar after-hours titles, opposite trades and different people

Positions
Don juan
Long strong stocks after regular-session close, often exiting next premarket.
Lucas marin
Short failed extended-session strength with structural stop references.
Context
S05 and S32 are different guests. A shared session label does not mean a common strategy.
Unresolved
Both methods have missing portfolio risk and exact execution rules.
Refs

Automation confidence versus an undefined failure boundary

Positions
Mallik
Trusts the models to recover and reacts to signals rather than forecasting crashes.
Other governance approaches
Naoufel discusses replacing systems after abnormal drawdown; other traders return to paper or reduce size.
Context
Model retirement, normal drawdown and operational emergency procedures are different decisions.
Unresolved
A complete future failure criterion for Mallik strategy portfolio is not disclosed, and live and simulated histories differ.
Refs

Exit before earnings versus deliberately trade the earnings event

Positions
Zoo long-call run-up
Contract expires after the report, but the position is sold before it. Shares and short puts are explicitly different exceptions.
Ravish event structure
A separate earnings iron-fly example targets the event itself.
Context
Instrument, exposure to the report gap, volatility thesis and payoff are different. The title never trades through earnings does not apply to every instrument.
Unresolved
Both strategies leave entry/exit or adjustment details incomplete. The tiny event sample cannot establish reliable expectancy.
Refs

Cash and small size can enable practice or deliberately restrict it

Positions
Farmer
Small positions create room for more learning attempts.
Aiden
Cash-account constraints curbed revenge but also exhausted funds before a later valid attempt.
Context
The constraint can be beneficial behaviorally and costly operationally. More trades is not inherently better.
Unresolved
Account mechanics and costs require current verification; no common study compares the two learning policies.
Refs

A failed-short thesis is not permission to buy every short candidate

Positions
Strati
Waits for expected downside to fail and still uses ordinary long breakouts.
Short-fade approaches
Other guests try to participate in the downside itself.
Context
Timing, liquidity, actual breakdown failure and risk location determine which thesis is being tested. Both can lose.
Unresolved
Participant identity and forced-cover timing are usually inferred; no executable universal contrarian signal is disclosed.
Refs

Playbooks and automation boundaries

Top

Source-derived rules and analyst-proposed tests are separate. Missing rules are not filled with invented thresholds. No live bot is supplied.

75 playbooks: 46 discretionary research outlines, 10 partially specified systematic candidates, and 19 concepts with insufficient detail for replication. Researchable means suitable for further investigation; it does not certify a complete, profitable or faithfully automatable method.

Examples distinguish actual narrated trades, source illustrations and unavailable executions. A missing full trade is stated explicitly. Analyst-inferred failure scenarios are labeled separately from reported losses.

Ravenloft discretionary weekly wheel

Ravenloft | S01

Classification
researchable discretionary method
Source rules
Objective
Collect premium while being willing to own selected businesses.
Instruments
Options and underlying shares of familiar companies; silver instrument unspecified.
Conditions
Willingness to own; no formal regime filter stated.
Preparation
Choose businesses used and understood at a conversational level; prepare Sunday night or Monday morning.
Entry
Cash-secured weekly put or buy shares; approximate premium target is described but denominator unclear.
Invalidation
not stated; guest accepts assignment instead of realizing put loss.
Exits
Buy back profitable put on Friday under alternative profit-capture levels; covered calls after assignment, sometimes skipped for expected upside.
Sizing
Enough capital for contract obligations; lot accumulation from premiums. Portfolio sizing not stated.
Exposure
No numerical allocation or correlation cap stated; margin wording contradictory.
Refs
Worked examples
  • Silver example in S01-I016 cannot be reconciled without the ledger.
  • Apple call and Ford timing in S01-I017 are incomplete trade examples.
Failure modes
  • Underlying company deteriorates while losses remain open.
  • Upside capped during rallies.
  • Premium chasing increases unwanted assignment.
  • Cheap-lot selection can substitute affordability for suitability.
Missing rules
  • Premium denominator and exact strike rule
  • Fundamental invalidation
  • Allocation and correlated exposure limits
  • Earnings and event handling
  • Transaction costs and execution rules
  • Capital-flow and total-equity reconciliation
Proposed test
Analyst proposal: specify selection and strike rules before testing; retain all assigned positions in daily equity; include fees and cash collateral, event periods and delisted securities; compare with holding the same stocks. Report drawdowns and capital tied up, not only option win rate.
Automation
Observable inputs
  • Option quotes and expiry
  • Underlying prices
  • Cash and positions
Deterministic parts
  • Contract coverage checks once specifications are defined
  • Premium and profit-capture calculations once denominator is defined
Human judgment
  • Which companies are acceptable
  • Expected rebound and call skipping
  • Credibility of research
Data and timing
Historical option chains with available-at-the-time quotes, assignment history, corporate actions and daily portfolio marks.
Execution risks
  • Spread and fill assumptions
  • Assignment and stale holdings
  • Contract or corporate-action changes
Blockers
  • Undefined percentage basis and subjective selection
  • Missing invalidation and exposure rules

Opening-hour short after a failed premarket move

Alex Temiz | S02

Classification
researchable discretionary method
Source rules
Objective
Short a hype-driven stock after failure is visible, rather than fighting intact strength.
Instruments
Stocks among top percentage gainers with borrow access; formal price, float and volume limits not stated.
Conditions
Prior daily spikes fade, current premarket push fails, catalyst not judged strong enough to sustain trend.
Preparation
Early scan, news, filings, dilution assessment, daily chart, completed premarket action.
Entry
Starter at opening bounce/resistance; add with confirming high-volume down candle, lower high or VWAP failure as examples.
Invalidation
Exit when expected failure does not occur and price continues or holds; exact distance not stated.
Exits
Cover into dips/down move; finish mostly within opening hour, exact target and mandatory flatten rule not stated.
Sizing
Smaller when range feels uncomfortable; add to winners after confirmation; numeric risk per trade not stated.
Exposure
Broker daily auto-liquidation tied to usual earnings; simultaneous and correlated limits not stated.
Refs
Worked examples
  • IPDN: S02-I009.
  • Unnamed stop/reentry trade: S02-I012.
  • SPRC: S02-I013, including contradictory closing result.
Failure modes
  • Intact trend mistaken for a failure.
  • Material news overrides familiar fade history.
  • Repeated reentries accumulate losses.
  • Liquidity or short availability prevents modeled fills.
  • Auto-liquidation executes worse than its trigger.
Missing rules
  • Exact failed-push and death-candle definitions
  • Bar interval and VWAP implementation
  • Borrow fees and availability
  • Per-position risk and maximum attempts
  • Profit-taking quantities and triggers
  • Loss-limit calibration when average earnings are nonpositive
Proposed test
Analyst proposal: label candidate failures using only information available before each decision. Include all eligible gainers, borrow constraints, fee and slippage estimates; compare early entries with confirmation entries. Track every attempt per stock/day and stop-limit overshoots. Freeze definitions before prospective paper review.
Automation
Observable inputs
  • Point-in-time gainers
  • News and filings timestamps
  • Premarket/intraday bars and volume
  • VWAP
  • Borrow inventory and cost
Deterministic parts
  • Session restriction
  • Candidate scans
  • Risk-limit monitoring after definition
Human judgment
  • Catalyst importance
  • Broken chart and resistance
  • Comfort with range
  • Whether evidence confirms
Data and timing
News/filings as actually released, historical borrow availability and intraday quote/bar data; avoid later revisions and completed-day volume lookahead.
Execution risks
  • Halts and gaps
  • Short availability
  • Spread and impact
  • Stop slippage
  • Broker limit behavior
Blockers
  • Subjective signals and missing size/exit rules

Tape apex micro-scalp

Marcelo (MightyStocks) | S03

Classification
researchable discretionary method
Source rules
Objective
Capture immediate micro-momentum at a turn and leave quickly.
Instruments
Widely watched small-cap leading gappers with news and volume.
Conditions
Nearby chart turning point; relevant tape context.
Preparation
Scans and news filter, chart context, Level 2 and recordings.
Entry
Buy green tape as pullback turns into bounce or consolidation into breakout.
Invalidation
Immediate lack of continuation; precise tolerance not stated.
Exits
Quick favorable move or immediate bail; exact scale-out schedule not stated.
Sizing
Large positions for small per-share gains, after tiny-live practice; formula not stated.
Exposure
not stated
Refs
Worked examples
  • Narrated development and early-favorable-move metrics, without complete fills.
Failure modes
  • Chop causes repeated small losses.
  • Delayed exit at large size causes outsized loss.
  • Fees and fill quality erase micro gains.
Missing rules
  • Precise apex and fail definitions
  • Net cost assumptions
  • Size and daily risk limits
  • Maximum retries
Proposed test
Analyst proposal: replay depth without future knowledge, log the decision before revealing subsequent prints, and measure net outcomes after realistic fills and costs. Then use tiny prospective paper/live-size simulation with predefined failure limits, without assuming linear scaling.
Automation
Observable inputs
  • Live depth and prints
  • News timestamp
  • Gap ranking and relative volume
  • Halt status and reopening quotes
Deterministic parts
  • Ranking and news availability filters after definition
  • Halt alerts
  • Position monitoring
Human judgment
  • Apex timing
  • Which tape signals matter
  • Inferred trapped shorts
  • When an upward halt validates a failed fade
Data and timing
High-resolution point-in-time depth, trades, halt/reopening and broker execution logs; minute OHLC alone cannot reproduce the examples.
Execution risks
  • Queue and adverse selection
  • Market-order slippage
  • Halts and inaccessible exits
  • UI lag
  • Broker restrictions and costs
Blockers
  • No exact signal encoding
  • Missing exposure and maximum-loss rules
  • No complete fill/exit example

First upward halt after failed fade

Marcelo (MightyStocks) | S03

Classification
researchable discretionary method
Source rules
Objective
Scalp hypothesized short covering on resumption.
Instruments
Leading high-attention small caps with news.
Conditions
Extended consolidation and failed bearish expectation followed by strong upward halt; prefer first halt.
Preparation
Halt scanner, news/gapper context, time-and-sales halt time and expected resumption.
Entry
In example buy at resumption using market order; then monitor tape for covering through high of day.
Invalidation
General immediate-bail rule; exact halt-specific rule not stated.
Exits
Complete exit not stated in narrated example.
Sizing
Example share count, no general formula.
Exposure
not stated
Refs
Worked examples
  • S03-I018 preserves shares, captioned entry and brief P&L claim without fabricating exit.
Failure modes
  • Upward halt becomes downward halt.
  • Late fill catches a flush.
  • Short-position assumption is wrong.
  • Repeated halts create extension.
Missing rules
  • Which halt is eligible
  • Resumption auction rules
  • Stop during new halt
  • Precise exits and maximum slippage
Proposed test
Analyst proposal: include every eligible resumption, including immediate down halts; separate first from later halts; simulate actual reopening availability and latency. Record whether the short-cover interpretation predicts outcomes better than price/volume alone.
Automation
Observable inputs
  • Live depth and prints
  • News timestamp
  • Gap ranking and relative volume
  • Halt status and reopening quotes
Deterministic parts
  • Ranking and news availability filters after definition
  • Halt alerts
  • Position monitoring
Human judgment
  • Apex timing
  • Which tape signals matter
  • Inferred trapped shorts
  • When an upward halt validates a failed fade
Data and timing
High-resolution point-in-time depth, trades, halt/reopening and broker execution logs; minute OHLC alone cannot reproduce the examples.
Execution risks
  • Queue and adverse selection
  • Market-order slippage
  • Halts and inaccessible exits
  • UI lag
  • Broker restrictions and costs
Blockers
  • No exact signal encoding
  • Missing exposure and maximum-loss rules
  • No complete fill/exit example

Quantum fear-buying swing

Marcelo (MightyStocks) | S03

Classification
Concept only: insufficient detail for replication
Source rules
Objective
Buy a feared blue-chip decline and tolerate the drawdown.
Instruments
Tesla example; universe not stated.
Conditions
Subjectively good company, extreme fear and oversold price.
Preparation
not stated
Entry
Discretionary purchase during fear.
Invalidation
not stated
Exits
not stated
Sizing
not stated
Exposure
Guest acknowledges inability to afford a very large loss.
Refs
Worked examples
  • Tesla drawdown narrative; full entries and exits absent.
Failure modes
  • Permanent deterioration
  • Forced sale or cash need before recovery
  • Concentrated drawdown
Missing rules
  • All objective risk, selection and exit criteria
Proposed test
Analyst proposal: do not operationalize the mindset alone. Require explicit thesis invalidation and drawdown limits before any historical or prospective test; compare recovered and unrecovered declines.
Automation
Observable inputs
  • Price declines
Deterministic parts
None specified.
Human judgment
  • Fear
  • Good company
  • Willingness to hold
Data and timing
Insufficient specification to choose a faithful dataset.
Execution risks
  • Unbounded holding and capital lockup
Blockers
  • Core rules absent

After-hours above-close hold for next-morning gap

Don Juan | S05

Classification
partially specified systematic candidate
Source rules
Objective
Capture overnight continuation of a strong green day.
Instruments
Small-cap gainers including low-priced names; exact universe not stated.
Conditions
Strong first green day, substantial share volume, consolidation near VWAP and after-hours holding above close.
Preparation
Review day chart, volume and after-hours action; news/dilution review is developing, no strict catalyst required.
Entry
After-hours holding above regular close; one example buys breakout through close.
Invalidation
Immediate after-hours fakeout cut; exact stop and overnight contingency not stated.
Exits
Usually next premarket; can rebuy after exit, hot-market continuation is an exception.
Sizing
Tries to increase for rare ideal setups; formula not stated.
Exposure
not stated
Refs
Worked examples
  • WHLR in S05-I009 has unresolved profit-caption mismatch.
  • Later low-price example in S05-I015 uses close-price breakout and substantial volume.
Failure modes
  • Offering or bad news overnight
  • After-hours false breakout
  • Volume without sustainable demand
  • Premarket exit liquidity
  • Sleep-related decisions
Missing rules
  • Exact first-green-day definition
  • VWAP distance and consolidation duration
  • Gain threshold
  • Entry and exit order rules
  • Gap-down and news contingency
  • Risk allocation and maximum attempts
Proposed test
Analyst proposal: enumerate all qualifying days point-in-time, include failed after-hours entries and overnight disasters, and segment market regimes. Compare above-close holding versus earlier-entry variants, use actual available premarket quotes and fees, and report net expectancy plus tail loss rather than the quoted win estimate.
Automation
Observable inputs
  • Day gain and share volume
  • VWAP
  • Regular close
  • After-hours prices and volume
  • Premarket quotes
  • News and offering timestamps
Deterministic parts
  • Volume and above-close checks once definitions frozen
Human judgment
  • Good consolidation
  • Holding strength
  • When to retry
  • Ideal setup size
Data and timing
Historical extended-session trades/quotes, corporate actions, delisted stocks and news timestamps.
Execution risks
  • Overnight gaps
  • Wide spreads
  • Unfilled exits
  • Untradeable news halts
Blockers
  • Missing exact risk and holding/exit definitions

Afternoon high-of-day near multi-day breakout

Don Juan | S05

Classification
researchable discretionary method
Source rules
Objective
Capture aligned intraday and multi-day breakout.
Instruments
Small-cap stocks; ticker caption uncertain in example.
Conditions
Morning holds, price regains VWAP and approaches intraday/multi-day resistance.
Preparation
Mark daily and intraday levels.
Entry
Can anticipate then cut; re-enter when it holds and breaks.
Invalidation
Cut failed anticipation; exact price not stated.
Exits
Example takes planned reward multiple, can rebuy dip; general target not stated.
Sizing
not stated
Exposure
not stated
Refs
Worked examples
  • S05-I013 and S05-I014, with unclear decimal captions.
Failure modes
  • False breakout
  • Weak volume
  • Chasing after target exit
Missing rules
  • Exact levels and validation
  • Stop distance
  • Sizing
  • Repeat entry limits
Proposed test
Analyst proposal: record all preidentified afternoon breakout levels and compare anticipation versus confirmed entries without using final daily highs.
Automation
Observable inputs
  • Intraday and daily bars
  • VWAP
  • Volume
Deterministic parts
  • Level alerts
Human judgment
  • Pattern alignment
  • Holding and reentry
Data and timing
Intraday point-in-time bars including unsuccessful patterns.
Execution risks
  • False moves and spread
Blockers
  • Incomplete entry and risk rules

Weak-company spike short around monthly pivots

Rob Booker | S06

Classification
researchable discretionary method
Source rules
Objective
Fade upward spikes in financially weak companies.
Instruments
Micro/small caps; some larger stocks separately discussed.
Conditions
Loss-making, weak cash and low institutional support; premarket spike and exhaustion; avoid hot themes.
Preparation
Read filings, historical fade chart, mark monthly pivots, commit to document trade.
Entry
Pivot underside rejection or above-pivot mean-reversion context; example also loses one-minute VWAP.
Invalidation
not stated; substantial adverse holding discussed.
Exits
Pivot target or discretionary profit-taking; exact schedule not stated.
Sizing
Small relative to capital; no formula.
Exposure
Overcapitalized account rationale; hard portfolio cap not stated.
Refs
Worked examples
  • S06-I019 narrates VC, with ambiguous share figures.
  • S06-I010 MLGO is a counterexample to safe-path assumptions.
Failure modes
  • Exceptional runner overwhelms balance-sheet thesis
  • Premature entry
  • Too much size
  • Borrow and overnight costs
  • Theme-driven squeeze
Missing rules
  • Hard stop or thesis invalidation
  • Exposure cap
  • Pivot formula
  • Cash-runway calculation
  • Borrow fees
  • Adverse-hold duration
Proposed test
Analyst proposal: first define loss and exposure limits independently, then test complete eligible spike cohorts with point-in-time fundamentals. Include squeezes, delistings, borrow constraints and daily open equity. Compare pivots against a no-pivot control; touch rates alone are not enough.
Automation
Observable inputs
  • Point-in-time filings and cash runway
  • Institutional ownership
  • Market cap
  • Premarket gains
  • VWAP and monthly pivots
Deterministic parts
  • Screen thresholds once data definitions fixed
  • Pivot alerts once formula supplied
Human judgment
  • Exhaustion
  • Theme avoidance
  • Holding adverse moves
  • Old-pivot relevance
Data and timing
Filings and ownership as known at trade time, corporate actions, intraday quotes and historical borrow availability; revised fundamentals create lookahead risk.
Execution risks
  • Squeeze
  • Borrow recall and costs
  • Overnight gap
  • Open drawdown invisible in closed stats
Blockers
  • Missing stops and exposure caps
  • Pivot implementation absent
  • Subjective theme/exhaustion filters

Loss-making large-cap earnings pop short

Rob Booker | S06

Classification
Concept only: insufficient detail for replication
Source rules
Objective
Fade earnings-related pop in a loss-making large company.
Instruments
Large caps.
Conditions
Better-than-expected earnings but company still loses money.
Preparation
not stated
Entry
After-hours short after pop; trigger not stated.
Invalidation
not stated
Exits
Next morning, exact rule not stated.
Sizing
not stated
Exposure
not stated
Refs
Worked examples
  • Kind
    Concept discussion; no complete executed trade supplied
    Source account
    • Explanation
      He has begun shorting loss-making larger companies that pop after better-than-expected earnings, entering after hours and holding to morning. He cites capacity and borrow economics, but no precise trigger, price limit, loss rule or demonstrated sample is supplied. Borrow-cost claims are historical, not guaranteed.
      Refs
    Reconstruction limit
    The earnings-fade discussion omits a complete trade and its risk path.
Failure modes
  • Real earnings improvement reprices company
  • Gap continues
  • Borrow/execution assumptions fail
Missing rules
  • Quantified surprise/pop
  • Selection universe
  • Stops and size
  • Complete examples
Proposed test
Analyst proposal: define event and accounting criteria before collecting every qualifying earnings announcement; include quote liquidity and overnight gaps.
Automation
Observable inputs
  • Earnings release
  • After-hours price
Deterministic parts
None specified.
Human judgment
  • Quality of surprise
Data and timing
Timestamped releases and extended-session quotes.
Execution risks
  • Gap and spread
Blockers
  • Core risk and trigger rules missing

Backside short with area-based recycling

Edu Trades | S07

Classification
researchable discretionary method
Source rules
Objective
Short bounces into overhead supply within a larger downtrend.
Instruments
Small-cap stocks; precise universe not stated.
Conditions
Backside/downtrend and overhead resistance with inadequate demand to absorb supply.
Preparation
Big-picture chart and resistance zone; VWAP and occasional EMAs.
Entry
Short within area as price pops; seek comfortable average near resistance.
Invalidation
Trim if risk uncomfortable, eventual maximum loss not stated.
Exits
Partial reductions and re-adds described; profit targets not stated as fixed rules.
Sizing
Comfort-based inventory management; hard limits not stated.
Exposure
not stated
Refs
Worked examples
  • MLGO qualitative description in S07-I018.
  • CTNT adverse-path counterexample in S07-I021.
Failure modes
  • False backside followed by squeeze
  • Recycling increases exposure into adverse trend
  • Supply assumption overwhelmed by new attention
  • Borrow and halts
Missing rules
  • Zone and backside definitions
  • EMA settings
  • Hard stop
  • Maximum adds and total inventory
  • Net daily risk
  • Borrow/cost model
Proposed test
Analyst proposal: prelabel zones and direction without future bars, log every partial trade and total risk, compare recycling against a single-entry capped-risk version, and include CTNT-like false-backside reversals. Evaluate net equity and tail loss, not just average-entry improvement.
Automation
Observable inputs
  • Price and volume
  • VWAP
  • Historical overhead levels
  • Position inventory
Deterministic parts
  • Inventory and risk accounting after limits specified
Human judgment
  • Phase and zone
  • Supply-demand imbalance
  • Comfort-based reductions
Data and timing
Intraday quote and borrow records with point-in-time resistance labels.
Execution risks
  • Squeeze
  • Slippage
  • Halts
  • Costs from recycling
Blockers
  • Discretionary zone and missing hard risk limits

Whole-dollar wash and reclaim long scalp

Tim / Trading With Tim | S08

Classification
researchable discretionary method
Source rules
Objective
Buy a flush beneath a round level in a strong stock and capture rebound.
Instruments
Low-float momentum stocks, usual preferred price band documented in S08-I014.
Conditions
Relative volume/news context and frontside strength, or clear bought dips if backside.
Preparation
Gap/momentum context, chart location and tape.
Entry
Wait for undercut of whole dollar, buy near dip based on support/tape.
Invalidation
Cut if no prompt rebound; more time sometimes allowed for best setup, exact tolerance not stated.
Exits
Often sell retest; hold longer for strong buying/reclaim support; can exit and rebuy.
Sizing
More size for whole-dollar than half-dollar variant and bounded by slippage; formula not stated.
Exposure
Mental daily loss limit; no add to loser; reduce activity after losing sequence.
Refs
Worked examples
  • Round-seven example in S08-I010 and S08-I011 is hypothetical rather than a verified fill record.
  • Chasing outlier S08-I016 illustrates violated entry discipline.
Failure modes
  • Trend actually breaks
  • False reclaim
  • Spread or market-order slippage exceeds planned risk
  • Chase after missing low entry
  • Too many retries
Missing rules
  • Undercut depth/time
  • Tape confirmation
  • Maximum holding time exception
  • Position cap
  • Daily enforced stop
  • News/float/volume thresholds
Proposed test
Analyst proposal: define and replay all undercuts in eligible stocks using quotes and prints; compare first-retest exits with longer holds, include no-rebound flushes and realistic market-order slippage. Separate whole/half-dollar variants, sessions and trend phases. Predeclare retry and daily failure limits before paper testing.
Automation
Observable inputs
  • Price relative to round levels
  • Depth/prints
  • Relative volume and news
  • Position and fill quality
Deterministic parts
  • Round-level alerts
  • Cost/risk accounting
  • No-add guard after formalization
Human judgment
  • Support absorption
  • Frontside versus backside
  • How long to allow best setup
  • Slippage-aware size
Data and timing
High-resolution quotes/depth and actual historical execution assumptions; bar lows are not assured obtainable fills.
Execution risks
  • Market-order impact
  • Halts
  • Wide spreads
  • Fast drops
Blockers
  • Subjective tape and timing exceptions
  • No full risk/sizing specification

Large-cap continuation swing transition

Humbled Trader | S09

Classification
Concept only: insufficient detail for replication
Source rules
Objective
Capture multi-day/multi-week continuation with reduced screen commitment.
Instruments
Large-cap stocks, mostly long context.
Conditions
Trend continuation; future scaling conditional on continued uptrend.
Preparation
Review familiar day-traded names, tag strategies, use research/scanner tools.
Entry
not stated
Invalidation
not stated
Exits
not stated
Sizing
Testing smaller and hopes to increase later; formula not stated.
Exposure
not stated
Refs
Worked examples
  • Kind
    Reported research transition; no complete swing trade supplied
    Source account
    • Explanation
      After a conference talk by a swing trader whose name is imperfectly captioned, she reviewed familiar large-cap day trades and noticed multi-day to multi-month follow-through. That motivated studying swings to capture more of a move. Retrospective charts alone do not prove a better entry/exit method.
      Refs
    • Explanation
      She tags day and swing trades and reports most current-year profit came from swings while major drawdowns came from day trades. September onward was mainly swings and felt less stressful. The counterfactual that only swinging would have earned more is her retrospective conclusion, not a controlled comparison with equal risk.
      Refs
    • Explanation
      She calls the current year a period of testing and tracking different swing ideas, then hopes to narrow to one or two and increase size if the uptrend continues. This qualifies any impression that the interview presents a settled all-regime swing system.
      Refs
    Reconstruction limit
    These observations motivate the transition but do not supply entry, stop and exit for a reproducible trade.
Failure modes
  • Retrospective selection of continued winners
  • Overnight gaps and correlated decline not addressed
  • Trend regime changes
Missing rules
  • All complete entry/exit/risk specifications
  • Comparable risk-adjusted day-versus-swing results
Proposed test
Analyst proposal: first define a specific continuation setup and stop/exit policy; then compare day and swing holds of the same point-in-time entries including gaps, exposure and all failed breakouts. Do not use post-exit chart continuation alone as evidence.
Automation
Observable inputs
  • Daily/intraday prices
  • Watchlists
  • News
Deterministic parts
  • Alerts only after rules defined
Human judgment
  • Strategy selection
  • Trend fit
Data and timing
Need point-in-time candidate list and complete hold rules before selecting faithful data.
Execution risks
  • Overnight gaps
  • Slower exit
  • Correlation
Blockers
  • Entry, exit and risk rules not stated

Gap-and-crap short research framework

Mike Huddie | S10

Classification
partially specified systematic candidate
Source rules
Objective
Capture all-day fades among selected gap-up stocks.
Instruments
Active small-cap gainers with volume.
Conditions
Data-defined gap cohort and expected spike/fade behavior; actual cohort threshold not stated.
Preparation
Study gap size, opening path, typical high excursion and sequence context.
Entry
Trend break or suitable area after spike; precise trigger not stated.
Invalidation
Preplanned risk level with consistent dollar exposure; exact level not stated.
Exits
Price target or time-of-day plan; actual rule not stated.
Sizing
Vary shares to hold intended dollar risk consistent.
Exposure
not stated
Refs
Worked examples
  • No complete trade example; hypothetical cohorts and stop-width analysis only.
Failure modes
  • Large early spike stops out narrow risk
  • Edge decay after costs
  • Busy trading without valid qualification
  • Rare runner overwhelms assumed fade
Missing rules
  • Gap threshold
  • Volume/float filter
  • Entry and stop
  • Borrow/cost model
  • Exit time and target
  • Daily portfolio limits
Proposed test
Analyst proposal: select a cohort before examining results, preserve all runners and failed fades, use open-to-high distribution tails rather than average alone, apply realistic borrow/slippage, and compare out-of-sample periods. Track whether misses arise from execution or from changed end-of-day behavior.
Automation
Observable inputs
  • Gap percent
  • Price/volume path
  • Daily sequence
  • Borrow data
Deterministic parts
  • Cohort screens
  • Dollar-risk sizing once stops defined
Human judgment
  • Execution area
  • Pattern quality
  • Regime interpretation
Data and timing
Historical delisted-inclusive data and intraday quotes available at decision time.
Execution risks
  • Squeeze
  • Slip
  • Borrow
  • Gap
Blockers
  • Parameter and exit specification absent

First-red-day behavior-change short

Kyle Williams | S11

Classification
researchable discretionary method
Source rules
Objective
Capture first substantial daily weakness after extended consecutive green days.
Instruments
Multiday stock runners, mostly listed in the later career.
Conditions
Large multiday advance and first departure from prior gap/spike/volume behavior; no fixed thresholds.
Preparation
Compare individual runner behavior and review chart precedents.
Entry
First weakness using multiple cues; exact trigger not stated.
Invalidation
Plan a stop price and dollar risk; actual setup stop placement not stated.
Exits
Larger previous run informs discretionary expected fade; fixed exit not stated.
Sizing
Risk should be small enough to survive losing sequences; personal fraction not stated.
Exposure
External last-resort backstop advocated after FFIE; implemented threshold not stated.
Refs
Worked examples
  • FFIE illustrates wrong timing, conviction and failed backstop, not a complete valid entry/exit example.
Failure modes
  • Early short in continuing squeeze
  • Red intraday candle mistaken for red day
  • Personal stop ignored
  • Prior winners encourage overconfidence
Missing rules
  • Full checklist
  • Entry trigger
  • Stop distance
  • Borrow and fees
  • Cover rule
  • Position and account caps
Proposed test
Analyst proposal: label all qualifying multiday runners using information then available, distinguish red candles from daily red closes, preserve failed shorts and adverse excursions, define entries/stops before outcome review, and include borrow, halts and slippage.
Automation
Observable inputs
  • Prior closes
  • Gap sequence
  • Morning price/volume
  • Borrow availability
Deterministic parts
  • Candidate sequence screening
  • Planned dollar-risk calculations
Human judgment
  • Behavior change
  • Quality and timing
  • Conflicting cues
Data and timing
Delisted-inclusive minute data with borrow and halt records; no hindsight daily-close signals.
Execution risks
  • Squeeze
  • Halt
  • Borrow recall
  • Slippage beyond stop
Blockers
  • Checklist and exact execution rules absent

Anticipatory multi-day breakout with consolidation risk

Dom (Dominic; Dom_Mastro10) | S12

Classification
researchable discretionary method
Source rules
Objective
Capture renewed upside after a large runner consolidates.
Instruments
Originally OTC longs, later listed small-cap longs.
Conditions
Large initial run, base below previous high, supportive volume/theme and current regime.
Preparation
Track day-one runners but retain only those that survive into consolidation; inspect fundamentals and overnight exposure.
Entry
Prefer earlier base entry before resistance; add as resistance breaks. Exact entry/add signal not stated.
Invalidation
Consolidation-derived death line where thesis/front side ends; precise rule not stated.
Exits
Bigger-picture hold may last days; exact profit-taking rule not stated.
Sizing
Risk intended near one R per failed idea; actual share formula/account fraction not stated.
Exposure
Possible overnight position; exact max exposure not stated.
Refs
Worked examples
  • Illustrative $1-to-$5 run and $4-$5 consolidation; no named complete trade.
Failure modes
  • Most day-one names fail before qualifying
  • 2022-2023 weak breakout stretches
  • Unexpected overnight event
Missing rules
  • Quantified volume/theme filters, entry, death-line price, add schedule and profit exits.
  • Overnight exclusions, gaps, portfolio risk and costs.
Proposed test
Analyst-proposed: track surviving runner bases with point-in-time fundamentals; compare anticipatory versus breakout entries net of overnight gaps and costs; stratify by regime and retain a holdout period.
Automation
Observable inputs
  • Daily/intraday OHLCV
  • prior high
  • consolidation
  • theme
  • filings/news
  • execution log
Deterministic parts
  • Watchlist/base candidates after definitions
  • Trade analytics
Human judgment
  • Quality of volume
  • theme fit
  • early-entry timing
  • death line
  • overnight judgment
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Failed breakouts
  • offering gaps
  • thin liquidity
  • adds increase loss
  • regime decay
Blockers
  • Quantified volume/theme filters, entry, death-line price, add schedule and profit exits.
  • Overnight exclusions, gaps, portfolio risk and costs.

Long secondary breakout after a major run and daily consolidation

Andy (Quickbags) | S13

Classification
researchable discretionary method
Source rules
Objective
Capture a renewed run in currently active low-priced stocks.
Instruments
Primarily long sub-dollar or other active low-priced listed stocks; OTC only when active.
Conditions
Big gains hold and multi-day runners appear; sympathy participation may expand.
Preparation
Find prior large run followed by roughly two to four days sideways consolidation; inspect daily base.
Entry
Perk off consolidation into secondary breakout; exact trigger not stated.
Invalidation
Nearby base provides tight risk reference; exact price and buffer not stated.
Exits
Not stated.
Sizing
Aggressive on personally identified A-plus setups, tiny while learning; numerical risk not stated.
Exposure
Not stated.
Refs
Worked examples
  • Kind
    Source pattern illustration, not a fully specified executed trade
    Source account
    • Explanation
      His preferred long setup is a strong prior run followed by a daily-chart base. Consolidation produces a tighter reference for risk before a secondary breakout. The exact invalidation price, buffer and fill method are not given.
      Refs
    • Explanation
      He looks for subsequent names as traders seek the next major runner. The transcript gives Fifi, syn and Peggy as caption-rendered examples; exact tickers are not independently established. Sympathy is a candidate-selection concept, not an automatic entry.
      Refs
    Reconstruction limit
    Captioned sympathy names are not independently resolved; precise entry and exit fills are absent.
Failure modes
  • Source reported failures or qualifications
    • Explanation
      He defines a hot environment through large percentage gains that persist and generate further multi-day runs, rather than stocks that gap and immediately give gains back. This offers a qualitative regime diagnostic, not a numerical scanner.
      Refs
    • Explanation
      Inspired by Jack Kellogg, he advocates aggressive size in a personally recognized A-plus setup. No account-risk percentage, size cap or objective grade is supplied. The host adds risk-management framing, but this does not turn the statement into a controlled sizing formula.
      Refs
    • Explanation
      He uses both mental and hard stops but predominantly hard stops, and recommends hard stops for newcomers because they lack experience. Mental stops enter his discussion only after development. Exact stop placement and order type are not specified.
      Refs
    Analyst inference
    Analyst inference: a base can break or gap through a desired exit, and an undefined A-plus size can overwhelm the nearby price reference.
Missing rules
  • Quantified gain, volume, consolidation and A-plus definitions.
  • Exact trigger, stop placement, targets, maximum size and halt/offer handling.
Proposed test
Analyst-proposed: label prior runs and bases without future information; test breakout and failed-breakout outcomes by retained-gain regime, including spread and halt risk.
Automation
Observable inputs
  • Daily OHLCV
  • intraday consolidation
  • relative activity
  • prior leader and sympathy universe
Deterministic parts
  • Candidate filters only after thresholds are defined
Human judgment
  • Hot-market judgment
  • base quality
  • A-plus classification
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Spread/slippage
  • failed breakout
  • halts
  • offerings
  • liquidity exhaustion
Blockers
  • Quantified gain, volume, consolidation and A-plus definitions.
  • Exact trigger, stop placement, targets, maximum size and halt/offer handling.

Initial-run consolidation continuation

Andy (Quickbags) | S13

Classification
researchable discretionary method
Source rules
Objective
Participate in initial multi-day momentum.
Instruments
Same active low-priced long universe.
Conditions
Initial run in first approximate one to three days.
Preparation
Identify consolidation during trend.
Entry
Enter consolidation to play trend; exact trigger not stated.
Invalidation
Not stated.
Exits
Not stated.
Sizing
Not stated.
Exposure
Not stated.
Refs
Worked examples
  • Kind
    Source rule illustration, not a fully specified executed trade
    Source account
    • Explanation
      He says one can participate in consolidation during the initial multi-day trend, but personally prefers the chart to settle after the large move and perk up from sideways action. Approximate day counts describe the visual pattern rather than rigid universal filters.
      Refs
    Reconstruction limit
    No separate full trade ledger for this initial-run variant is supplied.
Failure modes
  • Source reported failures or qualifications
    • Explanation
      He says one can participate in consolidation during the initial multi-day trend, but personally prefers the chart to settle after the large move and perk up from sideways action. Approximate day counts describe the visual pattern rather than rigid universal filters.
      Refs
    • Explanation
      He defines a hot environment through large percentage gains that persist and generate further multi-day runs, rather than stocks that gap and immediately give gains back. This offers a qualitative regime diagnostic, not a numerical scanner.
      Refs
    Analyst inference
    Analyst inference: early continuation can fail before a stable base forms; the missing invalidation and exit rules prevent a bounded loss model.
Missing rules
  • All quantitative entry, risk, exit and sizing rules.
Proposed test
Analyst-proposed: study separately from secondary breakouts rather than pooling the two patterns.
Automation
Observable inputs
  • Trend stage
  • OHLCV
Deterministic parts
  • None fully specified
Human judgment
  • Trend and consolidation identification
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Early momentum reversal
  • chasing
Blockers
  • All quantitative entry, risk, exit and sizing rules.

Post-alert promotion fade

Andy (Quickbags) | S13

Classification
Concept only: insufficient detail for replication
Source rules
Objective
Fade a short-lived alert-driven move.
Instruments
Stocks mentioned by promoters; universe not stated.
Conditions
Move judged irrational and short-lived.
Preparation
Observe alert.
Entry
Short afterward; exact timing not stated.
Invalidation
Not stated.
Exits
Not stated.
Sizing
Not stated.
Exposure
Not stated.
Refs
Worked examples
  • Kind
    Concept discussion; no executed promotion-fade example supplied
    Source account
    • Explanation
      In discussion of a named social-media personality, he says alert-driven moves can be short-lived and shorted afterward. No entries, borrows, stops or trade examples follow, and he earlier identifies his own primary approach as long. Claims about the personality remain attributed opinions.
      Refs
    Reconstruction limit
    The guest discusses a possibility; it is not his disclosed main long method.
Failure modes
  • Source reported failures or qualifications
    • Explanation
      In discussion of a named social-media personality, he says alert-driven moves can be short-lived and shorted afterward. No entries, borrows, stops or trade examples follow, and he earlier identifies his own primary approach as long. Claims about the personality remain attributed opinions.
      Refs
    Analyst inference
    Analyst inference: the alert-driven move may keep rising, and unavailable borrow or widening spreads can prevent the assumed short or exit.
Missing rules
  • Borrow, signal, timing, stops, size and evidence of personal execution.
Proposed test
Analyst-proposed: event study only, with contemporaneous alerts and borrow availability, before any executable hypothesis.
Automation
Observable inputs
  • Timestamped alerts
  • price/volume
  • borrow availability
Deterministic parts
  • Event alignment
Human judgment
  • Reason for price move
  • fade judgment
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Squeeze
  • unavailable borrow
  • halt
Blockers
  • Borrow, signal, timing, stops, size and evidence of personal execution.

Context-driven Level 2 hyper-scalping

Brandon (BMAC) | S14

Classification
researchable discretionary method
Source rules
Objective
Capture immediate price moves with rapid small-loss invalidation.
Instruments
Stocks with range, volume and tight spreads; both long and short.
Conditions
Chart context: coil/breakout, extended dip, parabolic momentum, continuing weakness or tape exhaustion.
Preparation
Use scanner, study stock personality and chart; VWAP only routine indicator.
Entry
Level 2 signal expected to act immediately; buys ask for speed on longs; exact signal not stated.
Invalidation
No immediate follow-through leads to attempted break-even/small-loss exit; precise time and price not stated.
Exits
Level 2 outcomes such as stall or parabolic continuation; detailed rule not stated.
Sizing
Generally stable shares; scales recognized opportunities rather than share size. Exact size not stated.
Exposure
Many trades per day; daily loss cap and aggregate exposure not stated.
Refs
Worked examples
  • Kind
    Source decision-chain illustration, not a fully specified executed trade
    Source account
    • Explanation
      He may repeatedly short a persistently weak stock until tape evidence suggests exhaustion or a blow-off, then trade the opposite direction. This is flexible context-reading, with no exact reversal trigger disclosed.
      Refs
    • Explanation
      A familiar Level 2 signal should act quickly; otherwise he exits around break-even or a small loss. He considers seconds easier to forecast than minutes. There is no quantified timeout, hard stop or depth threshold.
      Refs
    • Explanation
      After an entry works, he distinguishes a parabolic move toward a halt from a move that stalls; Level 2 also controls profit taking. Exact exit signals and hold-through-halt policy are absent.
      Refs
    Reconstruction limit
    The context-to-trigger-to-exit chain is described, but precise tape thresholds and fills are absent.
Failure modes
  • Signal without immediate move
  • Misreading environment
  • Changing personal emotional state
Missing rules
  • Order-book signal definitions, stock filters, exact stop/exit timing and size.
  • Fees, fill queue, latency, halt handling and maximum daily loss.
Proposed test
Analyst-proposed: collect synchronized Level 2/trades and real execution logs; label signal-to-follow-through latency and no-follow-through exits, evaluate net of fees and spread; compare regimes and stock liquidity.
Automation
Observable inputs
  • Level 2
  • trade tape
  • OHLCV
  • VWAP
  • spread
  • scanner output
Deterministic parts
  • Candidate filtering and logging only once definitions exist
Human judgment
  • Stock story
  • tape exhaustion
  • pattern context
  • signal timing
  • profit taking
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Latency
  • spread/fees multiplied by frequency
  • failed immediate exits
  • halts
  • overtrading
Blockers
  • Order-book signal definitions, stock filters, exact stop/exit timing and size.
  • Fees, fill queue, latency, halt handling and maximum daily loss.

Historical larger-float gapper short and all-day fade

James (Stockwonk) | S15

Classification
researchable discretionary method
Source rules
Objective
Short suitable morning gappers for extended intraday fade.
Instruments
Small-cap gappers; historical 2021 market-cap minimum about $15M.
Conditions
Qualified gappers with less extreme float than many later reverse-split names; exact filters not stated.
Preparation
Study gapper data, float, date, charts; track evolving population.
Entry
Morning timing based on pattern; exact trigger not stated.
Invalidation
Current day trades have hard stops; distance/level not stated.
Exits
Capture all-day fade; exact cover timing not stated.
Sizing
Reduce size when inconsistent; exact account fraction not stated.
Exposure
Overnight shorts now selective after large loss; criteria not stated.
Refs
Worked examples
  • Kind
    Reported historical pattern and losing overnight deviation
    Source account
    • Explanation
      He contrasts a few gappers per week with several each day, many fading through the session after an appropriate morning short. Frequent similar events also made data collection faster. Host demand-dilution reasoning is separate explanation, not demonstrated causality.
      Refs
    • Explanation
      His 2021 short rules excluded market capitalizations below $15M. He says many later gappers fall below that threshold, so the old method may still work for its population but has fewer opportunities. This differs from claiming the entire concept stopped working.
      Refs
    • Explanation
      He held a fading gapper overnight, woke to a higher gap and lost nearly $100K. The ticker only began with V in his recollection. He still sometimes holds shorts overnight but became more selective about security and size.
      Refs
    Reconstruction limit
    The overnight loss is an exception and warning, not evidence for an all-day intraday entry rule.
Failure modes
  • 2014 add-to-short loss
  • 2021 overnight V-ticker gap loss
Missing rules
  • Complete gap/float filters, entry, stop distance, target, size and borrow rules.
  • No independent cost-aware backtest or ledger.
Proposed test
Analyst-proposed: retain historical universe definitions and assess how candidate count and payoff changed across float/reverse-split regimes; test frozen rules with realistic borrow and costs before extending to newer names.
Automation
Observable inputs
  • Gapper prices
  • float/capitalization point-in-time
  • splits
  • volume
  • borrow
  • candles
Deterministic parts
  • Candidate scan and logging after definitions
Human judgment
  • Pattern boundaries
  • candle quality
  • stop adjustment
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Ultra-low-float squeeze
  • overnight gap
  • borrow
  • overfit filters
  • regime scarcity
Blockers
  • Complete gap/float filters, entry, stop distance, target, size and borrow rules.
  • No independent cost-aware backtest or ledger.

Developing long short-squeeze methods

James (Stockwonk) | S15

Classification
Concept only: insufficient detail for replication
Source rules
Objective
Identify squeeze conditions previously painful to early shorts and participate long.
Instruments
Stocks; exact universe not stated.
Conditions
Potential short squeeze; formal definition not stated.
Preparation
Observe repetitions and collect examples.
Entry
Not stated.
Invalidation
Day-trade hard-stop policy applies generally; setup stop not stated.
Exits
Not stated.
Sizing
Not stated.
Exposure
Not stated.
Refs
Worked examples
  • Kind
    Research direction; no complete executed squeeze-long example supplied
    Source account
    • Explanation
      He no longer wants to rely only on the prior short-gapper environment and is researching longs, including short squeezes. These are evolving projects rather than disclosed proven replacements.
      Refs
    Reconstruction limit
    The interview presents development in progress, not a finished replacement system.
Failure modes
  • Source reported failures or qualifications
    • Explanation
      He no longer wants to rely only on the prior short-gapper environment and is researching longs, including short squeezes. These are evolving projects rather than disclosed proven replacements.
      Refs
    • Explanation
      James observes older gapper charts often faded directly from the open while newer ones may hold. He studies candle behavior to separate potential faders from avoid candidates. Precise candle definitions are not provided.
      Refs
    Analyst inference
    Analyst inference: anticipated squeeze buying can fail to arrive, while selection based only on memorable prior squeezes creates hindsight bias.
Missing rules
  • Full long-squeeze method and results.
Proposed test
Analyst-proposed: define a prospective squeeze label and test it without hindsight before any executable claim.
Automation
Observable inputs
  • Price/volume
  • candidate squeeze features
Deterministic parts
  • None fully specified
Human judgment
  • Hypothesis selection
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Chasing
  • late entry
  • failed squeeze
Blockers
  • Full long-squeeze method and results.

50/50 micro-dip long hyperscalping

The Trading Farmer | S16

Classification
researchable discretionary method
Source rules
Objective
Repeated small rebounds within a strong move.
Instruments
Low-float stocks with volume; exact bounds not stated.
Conditions
Strong daily and five-minute context, bullish shapes, above VWAP, repeat rebounds, readable stable quotes.
Preparation
Review daily behavior then five-minute pattern and Level 2.
Entry
Buy selected micro dip as red tape appears, generally market.
Invalidation
Exit immediately if expected response fails; max daily loss respected but amount not stated.
Exits
Sell market on green tape and favorable price; sometimes limit sell in wider spreads; some W trades held longer.
Sizing
Small practice size, reported 25 to 50 shares; current formula not stated.
Exposure
Repeated attempts while opportunity and buying power remain; total exposure cap not stated.
Refs
Worked examples
  • Kind
    Illustrative price path and behavior, explicitly not a trade ledger
    Source account
    • Explanation
      The 50/50 style buys micro dips within a larger upward move and rapidly sells rebounds, repeatedly. It need not capture the full breakout. His illustrative four-to-five dollar path is a hypothetical explanation, not a trade record.
      Refs
    • Explanation
      For the foundational scalp, if the dip does not move favorably immediately, he exits at market, potentially before the position is red. This is a behavior rule, not a fixed protective price stop.
      Refs
    • Explanation
      He looks for red tape on a quick dip, then sells at market when tape and price turn green. The statement is nested within stock and pattern selection; buying any red print would remove critical context.
      Refs
    • Explanation
      He admits selling too soon and cutting a dip that immediately rebounds. His response is to re-enter on a subsequent dip rather than refuse the original loss. Costs and quote quality still govern whether that is viable.
      Refs
    Reconstruction limit
    The illustrative path explains repeated micro-dip trades. The count-to-three training exercise remains separate from the production strategy.
Failure modes
  • Stock continues down instead of rebounding
  • Wide unstable quotes
  • One delayed exit overwhelms many tiny wins
Missing rules
  • Exact stock filters
  • Quote stability definition
  • Max loss amount and enforcement
  • Current share sizing
  • Spread cutoff and limit logic
  • Exception holding rules
Proposed test
Analyst-proposed: annotate contemporaneous quote/tape replay, measure each eligibility gate, then paper test realistic latency and all-in spread/slippage across strong and weak sessions. Compare market versus executable limit alternatives.
Automation
Observable inputs
  • Daily and five-minute OHLCV
  • VWAP
  • Float information
  • Level 2 quotes and prints
Deterministic parts
  • Compute candidate volume/VWAP/trend measures once specified
Human judgment
  • Pattern shape
  • Quote readability
  • Dip turning point
  • Longer-hold exception
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Spread crossing
  • Slippage
  • Rapid flush
  • Latency
  • Missed and partial fills
Blockers
  • Exact stock filters
  • Quote stability definition
  • Max loss amount and enforcement
  • Current share sizing
  • Spread cutoff and limit logic
  • Exception holding rules

ES trend algorithm with intermarket context

Shahzad (Siylenia) | S17

Classification
partially specified systematic candidate
Source rules
Objective
Trade directional trends systematically.
Instruments
ES futures; earlier development used SPX options.
Conditions
Trending market preferred; consolidation and chop hurt. Formal regime rule not stated.
Preparation
Intermarket chart DXY + VX + TNX + TLT; exact combination not stated.
Entry
Ten-minute context; long above 21 EMA, short below; crossover also required. Caption 57 unresolved.
Invalidation
Exact algorithmic stop not stated.
Exits
Algorithm considers levels for profits; exact exit not stated.
Sizing
Not stated.
Exposure
Leverage used; exact contracts and maximum exposure not stated.
Refs
Worked examples
  • Kind
    Partial rule illustration and reported adverse-regime experience
    Source account
    • Explanation
      The early ten-minute strategy performed well before consolidation and chop coincided with personal stress. He identifies trend following as structurally mismatched to that environment. The interview gives no formal chop detector or shutoff rule.
      Refs
    • Explanation
      The first rules were coded on charts but executed manually with intuition filling gaps. Only later did he automate execution. The distinction matters because early profits cannot automatically be assigned to the final unattended system.
      Refs
    • Explanation
      He describes entering DXY plus VX plus TNX plus TLT into a chart to combine dollar, volatility and Treasury-related information. Weighting, scaling, symbol definitions, directional interpretation and alignment are not provided. Do not convert this into a validated cross-asset predictor.
      Refs
    • Explanation
      He goes long above the 21 EMA and short below it, conditional on crossovers. The caption prints crossover lengths as 57, plausibly spoken five and seven, but that cannot be certified from text alone. It is also unclear exactly which chart supplies each condition.
      Refs
    Reconstruction limit
    Manual signal trading and later automatic execution are separate stages; no complete standalone futures trade is reconstructed.
Failure modes
  • Consolidation/chop
  • Fatigue-driven interference
Missing rules
  • Resolve crossover lengths and chart inputs.
  • Exact signal timing, stops, exits, sizing, regime filter, transaction costs and emergency handling not stated.
Proposed test
Analyst-proposed: reconstruct only after clarifying rules; compare cost-aware walk-forward trend/chop results and a frozen no-override baseline.
Automation
Observable inputs
  • ES bars
  • DXY/VX/TNX/TLT contemporaneous series
  • EMA values
Deterministic parts
  • EMA calculation and directional gating once defined
Human judgment
  • Intermarket interpretation and remaining unspecified rules
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Slippage
  • feed alignment
  • API failure
  • leverage
  • manual overrides
Blockers
  • Resolve crossover lengths and chart inputs.
  • Exact signal timing, stops, exits, sizing, regime filter, transaction costs and emergency handling not stated.

Historical SPX zero-day directional entry and sell-against adjustment

Shahzad (Siylenia) | S17

Classification
researchable discretionary method
Source rules
Objective
Directional options exposure followed by partial protection.
Instruments
SPX zero-DTE options.
Conditions
Wait for confidence in direction after open.
Preparation
Wait roughly 10-20 minutes; exact signal not stated.
Entry
Directional purchase; strike and order rule not stated.
Invalidation
Usually roughly 25% premium stop, range-dependent.
Exits
Around 50% favorable gain, usually sell against position; final exit not stated.
Sizing
Not stated.
Exposure
Exact spread structure and limits not stated.
Refs
Worked examples
  • Kind
    Historical method illustration; contract-level worked trade not supplied
    Source account
    • Explanation
      His earlier manual options method avoided gambling at the open, waited for direction, and used a range-dependent premium stop. This is a historical options method, not the present futures system.
      Refs
    • Explanation
      After a substantial favorable move he often sold against the existing long position to collect premium and secure part of the trade. Strike selection, spread width, expiry details and final exit are not stated, so the exact payoff cannot be reconstructed.
      Refs
    Reconstruction limit
    The sold-against contract details and final exit are absent, so neither a precise spread nor its payoff is invented.
Failure modes
  • Source reported failures or qualifications
    • Explanation
      His earlier manual options method avoided gambling at the open, waited for direction, and used a range-dependent premium stop. This is a historical options method, not the present futures system.
      Refs
    • Explanation
      After a substantial favorable move he often sold against the existing long position to collect premium and secure part of the trade. Strike selection, spread width, expiry details and final exit are not stated, so the exact payoff cannot be reconstructed.
      Refs
    Analyst inference
    Analyst inference: a premium stop may not fill as intended, and an unspecified sold-against contract makes remaining exposure impossible to reconstruct.
Missing rules
  • Strikes, widths, final exit, directional signal and sizing not stated.
Proposed test
Analyst-proposed: replay historical option quotes and compare sale-against adjustment with unchanged long position including spread costs.
Automation
Observable inputs
  • SPX
  • option quotes
  • time since open
Deterministic parts
  • Time filter
  • premium change
Human judgment
  • Directional confidence
  • range-dependent stop
  • short leg selection
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Short-dated price jumps
  • bid-ask spread
  • leg execution
Blockers
  • Strikes, widths, final exit, directional signal and sizing not stated.

Manual aftermarket ATR and level approach

Shahzad (Siylenia) | S17

Classification
researchable discretionary method
Source rules
Objective
Discretionary trades informed by overnight range and volatility.
Instruments
Futures context; exact contract for each manual trade not stated.
Conditions
Aftermarket often choppy in guest experience.
Preparation
Strong volume/psychological levels, ATR and range standard deviations.
Entry
Not stated.
Invalidation
Tentatively 2x/3x ATR; guest explicitly unsure.
Exits
Usual 1:2 objective; tentative 3-4 ATR profits, not a consistent fixed specification.
Sizing
Keep manual size consistent and smaller account; exact amount not stated.
Exposure
Avoid overtrading; maximum not stated.
Refs
Worked examples
  • Kind
    Tentative manual-rule illustration; executed trade not supplied
    Source account
    • Explanation
      He uses ATR, levels, consistent size and an effort not to overtrade for manual positions. His algorithm looks at levels for profits but not as much for stops. ATR length, exact sizing and daily risk caps are absent.
      Refs
    • Explanation
      He describes a usual one-to-two risk-reward objective, then gives tentative ATR multiples for stops and targets and admits he may be remembering incorrectly. These cannot safely be treated as a coherent fixed system.
      Refs
    • Explanation
      For discretionary aftermarket trading he looks for strong volume-based or psychological levels; otherwise he considers ATR and standard deviations within the range because he expects chop. The volume-level and range definitions remain discretionary.
      Refs
    Reconstruction limit
    The guest qualifies his own ATR recollection. The figures do not form a certified fixed rule set.
Failure modes
  • Source reported failures or qualifications
    • Explanation
      He describes a usual one-to-two risk-reward objective, then gives tentative ATR multiples for stops and targets and admits he may be remembering incorrectly. These cannot safely be treated as a coherent fixed system.
      Refs
    • Explanation
      For discretionary aftermarket trading he looks for strong volume-based or psychological levels; otherwise he considers ATR and standard deviations within the range because he expects chop. The volume-level and range definitions remain discretionary.
      Refs
    Analyst inference
    Analyst inference: choosing ATR multipliers from uncertain recollection or treating choppy aftermarket behavior as constant can produce incompatible risk rules.
Missing rules
  • Entry, ATR period, range definition, exact multiples, limits and sessions not stated.
Proposed test
Analyst-proposed: journal manual overrides separately and evaluate whether they add risk-adjusted value after sleep and session segmentation.
Automation
Observable inputs
  • ATR
  • volume levels
  • range
  • sleep log
Deterministic parts
  • Potential volatility calculations only after definitions
Human judgment
  • Strong level assessment
  • entries
  • regime
  • override
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Thin overnight liquidity
  • fatigue
  • cross-session emotional carryover
Blockers
  • Entry, ATR period, range definition, exact multiples, limits and sessions not stated.

Automated day-one gapper short with after-hours cover

Jim (Jim37 / zhangji37) | S18

Classification
partially specified systematic candidate
Source rules
Objective
Short qualifying day-one premarket gappers and cover under coded rules.
Instruments
Stocks including low-priced names; approximate $0.10 floor.
Conditions
Minimum premarket percentage gap and maximum market capitalization; values not stated.
Preparation
Screen candidates and obtain locates; sometimes earlier manual locate to reduce fees.
Entry
Code chooses entry after open; exact timing and trigger not stated.
Invalidation
Approximately 100% adverse short price move; order and gap handling not stated.
Exits
Automated after-hours price tracking for cover; exact trigger and deadline not stated.
Sizing
Small enough for wide stop; exact account fraction not stated.
Exposure
Aggregate limits and simultaneous-position handling not stated.
Refs
Worked examples
  • Two full stops in the same day; no tickers supplied.
Failure modes
  • Repeated tighter-stop exits before fade
  • Same-day stop cluster
  • Missing costs in reported backtest
Missing rules
  • Gap and cap thresholds, all remaining filters, exact entry/cover rules.
  • Sizing, max exposure, emergency handling, borrow assumptions and transaction costs.
  • Backtest omits slippage and fees; no supplied code, ledger or holdout results.
Proposed test
Analyst-proposed: freeze a complete rule specification, test point-in-time survivors and delisted names with borrow/locate/fees and executable quotes; compare close versus after-hours exits, stress clustered stops and halts, reserve an untouched period.
Automation
Observable inputs
  • Premarket prices
  • point-in-time market cap
  • tradable universe
  • borrow/locates
  • quotes through after hours
Deterministic parts
  • Screening and entry/exit once disclosed
  • Socket execution plumbing
Human judgment
  • Occasional emotional intervention and early locate decisions
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Short squeeze
  • halts beyond stop
  • thin after-hours liquidity
  • fees
  • socket disconnect
  • correlated losses
Blockers
  • Gap and cap thresholds, all remaining filters, exact entry/cover rules.
  • Sizing, max exposure, emergency handling, borrow assumptions and transaction costs.
  • Backtest omits slippage and fees; no supplied code, ledger or holdout results.

Extension short ladder for small flush

Arsalan (arslinnn) | S19

Classification
researchable discretionary method
Source rules
Objective
Capture small flush below weighted short average.
Instruments
Borrowable volatile stocks, often secondary or relatively heavy names.
Conditions
Readable extensions with recurrent flushes; historical late-day context emphasized.
Preparation
Assess float, liquidity, peer momentum, borrow and stop plan.
Entry
Small spaced limit shorts into upward extension; reset ladder higher after flat.
Invalidation
Finite planned stop and broker max backup now stated; universal distance not stated.
Exits
Cover whole position on small flush, often around ten cents in examples.
Sizing
Small individual bullets; aggregate cap not stated.
Exposure
Intraday intended; no forced extended-session swing.
Refs
Worked examples
  • Kind
    Narrated DUO trade and historical ladder mechanics
    Source account
    Reconstruction limit
    Approximate share counts conflict; retain the conflict rather than fabricate a reconciled average or net P&L.
Failure modes
  • No flush before stop
  • Broker stop fills beyond threshold
  • One tail loss consumes many small wins
Missing rules
  • Eligibility thresholds
  • Maximum cumulative size
  • Exact stop by volatility
  • Net performance including rare squeezes
Proposed test
Analyst-proposed: replay full quote-level paths including one-way squeezes and failed flushes, with capped finite ladders and realistic borrow and liquidation slippage.
Automation
Observable inputs
  • Quotes
  • Prints
  • Volume
  • Borrow
  • Float
  • Peer moves
Deterministic parts
  • Weighted-average position accounting
  • Finite ladder and stop once specified
Human judgment
  • Extension quality
  • Peer weakness
  • Re-entry location
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Halt gaps
  • Adverse selection
  • Rapid cumulative size growth
  • Extended-hours illiquidity
Blockers
  • Eligibility thresholds
  • Maximum cumulative size
  • Exact stop by volatility
  • Net performance including rare squeezes

Developing gap-up short with initial-flush exit

Arsalan (arslinnn) | S19

Classification
researchable discretionary method
Source rules
Objective
Take early failure or squeeze flush rather than require all-day fade.
Instruments
Gap-up stocks with obtainable locates; exact universe not stated.
Conditions
Failure early; caution if strong/new highs around 10:30.
Preparation
Candidate chart archive, float/borrow assessment, predefined ladder end and stop.
Entry
Failure entry or spaced limits into squeeze, sometimes using halt bands.
Invalidation
OC example ends adds at 4.99 and stops around 5.20; general rule not stated.
Exits
Initial flush; deeper hold/re-entry remains developmental.
Sizing
Small learning size, proportional adds; formula not stated.
Exposure
Market hours preferred; broker max backup.
Refs
Worked examples
  • Kind
    Narrated OC trade with finite ladder and stop
    Source account
    • Explanation
      For the ticker captioned OC, he describes entries 4.19 and 4.39 with subsequent roughly twenty-cent spacing through 4.99, then a buy-to-cover at 5.20 instead of another add. These are one-trade levels, not reusable absolute prices.
      Refs
    • Explanation
      He placed limits near a halt threshold in the thin OC example, captured the flush and regretted missing a later high-of-day-risk re-entry. Regret is hindsight, not an established mandatory re-entry rule.
      Refs
    • Explanation
      He likes an initial flush, possibly returning to scalps or ending the day, rather than holding all day. This preference coexists with regret over missed larger fades, an unresolved tradeoff to test.
      Refs
    Reconstruction limit
    OC is the captioned ticker; the prices describe that example and are not universal thresholds.
Failure modes
  • Source reported failures or qualifications
    • Explanation
      For gap shorts he does not want a name rising or making new highs around 10:30. Regular-session stops let him look away briefly, not abandon monitoring. Timezone is contextual, not explicitly stated.
      Refs
    • Explanation
      He placed limits near a halt threshold in the thin OC example, captured the flush and regretted missing a later high-of-day-risk re-entry. Regret is hindsight, not an established mandatory re-entry rule.
      Refs
    • Explanation
      He avoids committing too much to expensive nano-float locates because sunk cost makes him eager to enter and scale too aggressively. He favors proportional small scaling while learning the setup.
      Refs
    Analyst inference
    Analyst inference: a squeeze can pass the final add and stop level before a cover fills; locate costs can also turn a small gross flush into a poor net trade.
Missing rules
  • Gap definition
  • Catalyst filters
  • Stop rule beyond single example
  • Exact halt-band offset
  • Borrow budget
Proposed test
Analyst-proposed: compare initial-flush exit with full fade and scheduled re-entry on a held-out candidate universe after borrow, spread and halt slippage.
Automation
Observable inputs
  • Gap and volume
  • Halt thresholds
  • Borrow fee
  • Time of day
  • Price highs
Deterministic parts
  • Bound ladder with buy-to-cover replacing last add
Human judgment
  • Failure versus continuing momentum
  • Float/liquidity interpretation
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Expensive locates
  • Halt squeeze
  • Thin fills
Blockers
  • Gap definition
  • Catalyst filters
  • Stop rule beyond single example
  • Exact halt-band offset
  • Borrow budget

Premarket heavy-spike fade

Justin (TBOWS) | S20

Classification
researchable discretionary method
Source rules
Objective
Capture small-cap pop reversal.
Instruments
Small-cap equities; market-cap upper-bound sentence conflicts.
Conditions
4:00-6:59 favored, later 7:00 variant; outsized pop with developing level
Preparation
Review levels; cash/offering and retention history particularly if holding.
Entry
Scale four or five pieces as pop weakens near psychological level
Invalidation
Mental level, exact touch/close trigger unresolved
Exits
Fade toward prior area or moving average, exact cover rule absent
Sizing
20-25% intended position per piece; total not stated
Exposure
Session-specific; extended/weekend exposure in designated variants only.
Refs
Worked examples
  • Kind
    Early-spike rule illustration, not a complete fill ledger
    Source account
    • Explanation
      His favored premarket-heavy-spike setup runs 4:00 to 6:59, particularly the first half hour. He may return to sleep if no opportunities appear. Promotional-group causation is explicitly speculation; timezone is not separately stated.
      Refs
    • Explanation
      A demonstrated early spike lacked prior chart levels, increasing risk. He uses small pieces while price discovers a potential ceiling, not full size at the first pop.
      Refs
    • Explanation
      He describes roughly four or five entries at 20 to 25 percent of his intended position. These are not account-risk percentages; intended total size and add spacing are not disclosed.
      Refs
    • Explanation
      He dislikes actual stops for wick-outs and admits mental stops are riskier. In the ten-dollar example he says exit if it breaks ten, while also describing a brief excursion that would stop out and reverse. Close-through versus touch versus discretion is not resolved.
      Refs
    Reconstruction limit
    Unknown prior levels and an unresolved mental-stop trigger prevent exact replay.
Failure modes
  • Source reported failures or qualifications
    • Explanation
      Reported cumulative profit near 140/142K fell to 67K then 39K. The first averaging short ignored a new high and was broker-liquidated; the next day he re-entered near a perceived prior ceiling and lost again. Description shorthand of a 100K loss blends the sequence.
      Refs
    • Explanation
      He likes halt-ups because he expects a brutal fall, but in DRUG kept averaging while very red and failed to exit on a fresh high. The same expected payoff encouraged fighting current strength.
      Refs
    • Explanation
      He dislikes actual stops for wick-outs and admits mental stops are riskier. In the ten-dollar example he says exit if it breaks ten, while also describing a brief excursion that would stop out and reverse. Close-through versus touch versus discretion is not resolved.
      Refs
    • Explanation
      The seven-o-clock example is similar: a large run creates opportunity but early heavy size can blow up. It is not a fully distinct quantified signal from the earlier spike method.
      Refs
    Analyst inference
    Analyst inference: unknown ceilings and small initial pieces do not cap total risk if adds continue while price rises.
Missing rules
  • Exact universe and trigger
  • Total risk budget
  • Stop execution definition
  • Moving-average specification
  • Complete fill and cost records
Proposed test
Analyst-proposed: freeze one session-specific definition, include every eligible candidate and catastrophic squeeze, and test net of borrow, gap and slippage on held-out periods.
Automation
Observable inputs
  • OHLCV
  • Session time
  • Prior highs
  • Cash/offering history
  • Borrow fee
Deterministic parts
  • Session filter
  • Known high calculation
Human judgment
  • Perceived top
  • Mental-stop interpretation
  • Whether to hold
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Thin liquidity
  • Halt/reopening gaps
  • Mental-stop delay
  • Borrow escalation
Blockers
  • Exact universe and trigger
  • Total risk budget
  • Stop execution definition
  • Moving-average specification
  • Complete fill and cost records

Opening retest of premarket high

Justin (TBOWS) | S20

Classification
Concept only: insufficient detail for replication
Source rules
Objective
Capture small-cap pop reversal.
Instruments
Small-cap equities; market-cap upper-bound sentence conflicts.
Conditions
9:30-10:00 with clearly established premarket high
Preparation
Review levels; cash/offering and retention history particularly if holding.
Entry
Short just below high, illustrative 9.75 versus ten
Invalidation
Break of premarket high
Exits
Profit levels/moving average; exact target not stated
Sizing
Heavier than uncertain early spikes; formula not stated
Exposure
Session-specific; extended/weekend exposure in designated variants only.
Refs
Worked examples
  • Kind
    Opening high-retest price illustration
    Source account
    • Explanation
      Between 9:30 and 10 he prefers a clearly established premarket high and enters just below it to avoid missing the fill. He permits heavier size because the proposed invalidation is nearby; fill-through and gap risk are not quantified.
      Refs
    • Explanation
      He dislikes actual stops for wick-outs and admits mental stops are riskier. In the ten-dollar example he says exit if it breaks ten, while also describing a brief excursion that would stop out and reverse. Close-through versus touch versus discretion is not resolved.
      Refs
    Reconstruction limit
    The level example is instructional; complete executions, account risk and stop-touch behavior remain unspecified.
Failure modes
  • Source reported failures or qualifications
    • Explanation
      He dislikes actual stops for wick-outs and admits mental stops are riskier. In the ten-dollar example he says exit if it breaks ten, while also describing a brief excursion that would stop out and reverse. Close-through versus touch versus discretion is not resolved.
      Refs
    • Explanation
      Between 9:30 and 10 he prefers a clearly established premarket high and enters just below it to avoid missing the fill. He permits heavier size because the proposed invalidation is nearby; fill-through and gap risk are not quantified.
      Refs
    Analyst inference
    Analyst inference: a clear premarket high can still fail as resistance; heavier size magnifies gap-through or delayed mental-stop execution.
Missing rules
  • Exact universe and trigger
  • Total risk budget
  • Stop execution definition
  • Moving-average specification
  • Complete fill and cost records
Proposed test
Analyst-proposed: freeze one session-specific definition, include every eligible candidate and catastrophic squeeze, and test net of borrow, gap and slippage on held-out periods.
Automation
Observable inputs
  • OHLCV
  • Session time
  • Prior highs
  • Cash/offering history
  • Borrow fee
Deterministic parts
  • Session filter
  • Known high calculation
Human judgment
  • Perceived top
  • Mental-stop interpretation
  • Whether to hold
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Thin liquidity
  • Halt/reopening gaps
  • Mental-stop delay
  • Borrow escalation
Blockers
  • Exact universe and trigger
  • Total risk budget
  • Stop execution definition
  • Moving-average specification
  • Complete fill and cost records

Daytime level pop scalp

Justin (TBOWS) | S20

Classification
Concept only: insufficient detail for replication
Source rules
Objective
Capture small-cap pop reversal.
Instruments
Small-cap equities; market-cap upper-bound sentence conflicts.
Conditions
10:00-16:00; less predictable action
Preparation
Review levels; cash/offering and retention history particularly if holding.
Entry
Short pop around level, exact trigger not stated
Invalidation
Not stated.
Exits
Not stated.
Sizing
Much smaller, not quantified
Exposure
Session-specific; extended/weekend exposure in designated variants only.
Refs
Worked examples
  • Kind
    Time-window rule illustration; full daytime trade not supplied
    Source account
    • Explanation
      From ten to four he shorts pops around levels with much smaller size because the action is less predictable. Exact trigger, stop and time exit are not supplied.
      Refs
    Reconstruction limit
    Smaller size and a session window are not a complete trigger, stop and exit model.
Failure modes
  • Source reported failures or qualifications
    • Explanation
      From ten to four he shorts pops around levels with much smaller size because the action is less predictable. Exact trigger, stop and time exit are not supplied.
      Refs
    Analyst inference
    Analyst inference: smaller daytime size limits neither hold duration nor total daily loss when those rules remain unspecified.
Missing rules
  • Exact universe and trigger
  • Total risk budget
  • Stop execution definition
  • Moving-average specification
  • Complete fill and cost records
Proposed test
Analyst-proposed: freeze one session-specific definition, include every eligible candidate and catastrophic squeeze, and test net of borrow, gap and slippage on held-out periods.
Automation
Observable inputs
  • OHLCV
  • Session time
  • Prior highs
  • Cash/offering history
  • Borrow fee
Deterministic parts
  • Session filter
  • Known high calculation
Human judgment
  • Perceived top
  • Mental-stop interpretation
  • Whether to hold
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Thin liquidity
  • Halt/reopening gaps
  • Mental-stop delay
  • Borrow escalation
Blockers
  • Exact universe and trigger
  • Total risk budget
  • Stop execution definition
  • Moving-average specification
  • Complete fill and cost records

After-hours and overnight fade

Justin (TBOWS) | S20

Classification
Concept only: insufficient detail for replication
Source rules
Objective
Capture small-cap pop reversal.
Instruments
Small-cap equities; market-cap upper-bound sentence conflicts.
Conditions
After-hours pop and possible holding after initial fade fails
Preparation
Review levels; cash/offering and retention history particularly if holding.
Entry
Short perceived topping; detailed trigger not stated
Invalidation
Not stated.
Exits
Partial liquidation and fade; time rule not stated.
Sizing
Not stated.
Exposure
Session-specific; extended/weekend exposure in designated variants only.
Refs
Worked examples
  • Kind
    Holding-decision illustration; complete overnight trade not supplied
    Source account
    • Explanation
      For after-hours or possible overnight holds he checks cash, offering history and history of retaining gains. These become hold-versus-sell inputs rather than universal pre-entry gates.
      Refs
    • Explanation
      He thinks after-hours is more liquid than early premarket and falls less hard, but explicitly says he may be wrong. It should not become an established cross-session liquidity law.
      Refs
    Reconstruction limit
    Fundamental checks and the tentative liquidity claim do not establish a mandatory time exit or risk cap.
Failure modes
  • Source reported failures or qualifications
    • Explanation
      For after-hours or possible overnight holds he checks cash, offering history and history of retaining gains. These become hold-versus-sell inputs rather than universal pre-entry gates.
      Refs
    • Explanation
      He thinks after-hours is more liquid than early premarket and falls less hard, but explicitly says he may be wrong. It should not become an established cross-session liquidity law.
      Refs
    Analyst inference
    Analyst inference: a failed immediate fade can become an unplanned overnight position; company cash or offering history does not guarantee timely price decline.
Missing rules
  • Exact universe and trigger
  • Total risk budget
  • Stop execution definition
  • Moving-average specification
  • Complete fill and cost records
Proposed test
Analyst-proposed: freeze one session-specific definition, include every eligible candidate and catastrophic squeeze, and test net of borrow, gap and slippage on held-out periods.
Automation
Observable inputs
  • OHLCV
  • Session time
  • Prior highs
  • Cash/offering history
  • Borrow fee
Deterministic parts
  • Session filter
  • Known high calculation
Human judgment
  • Perceived top
  • Mental-stop interpretation
  • Whether to hold
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Thin liquidity
  • Halt/reopening gaps
  • Mental-stop delay
  • Borrow escalation
Blockers
  • Exact universe and trigger
  • Total risk budget
  • Stop execution definition
  • Moving-average specification
  • Complete fill and cost records

Friday afternoon to Monday fade

Justin (TBOWS) | S20

Classification
Concept only: insufficient detail for replication
Source rules
Objective
Capture small-cap pop reversal.
Instruments
Small-cap equities; market-cap upper-bound sentence conflicts.
Conditions
Friday pop; borrow cost must leave reward
Preparation
Review levels; cash/offering and retention history particularly if holding.
Entry
Short Friday pop; exact timing not stated
Invalidation
Not stated.
Exits
Monday fade in example; mandatory time exit not stated
Sizing
Example 10K position, formula not stated
Exposure
Session-specific; extended/weekend exposure in designated variants only.
Refs
Worked examples
  • Kind
    Narrated Friday-to-Monday position and borrow-cost example
    Source account
    • Explanation
      He sometimes shorts Friday afternoon pops expecting attention to disappear by Monday. His nine-in-ten phrasing is an unmeasured claim; weekend borrow fees can eliminate the expected reward.
      Refs
    • Explanation
      He recalls a 10K position, about thirty dollars nightly and ninety total borrowing, with price captioned 169 to118, context suggesting 1.69 to1.18. Shares, exact entries and complete fills are absent, so no precise net return should be inferred.
      Refs
    Reconstruction limit
    Incomplete fills and ambiguous decimal captions prevent calculation of an exact net return.
Failure modes
  • Source reported failures or qualifications
    • Explanation
      He sometimes shorts Friday afternoon pops expecting attention to disappear by Monday. His nine-in-ten phrasing is an unmeasured claim; weekend borrow fees can eliminate the expected reward.
      Refs
    • Explanation
      He recalls a 10K position, about thirty dollars nightly and ninety total borrowing, with price captioned 169 to118, context suggesting 1.69 to1.18. Shares, exact entries and complete fills are absent, so no precise net return should be inferred.
      Refs
    Analyst inference
    Analyst inference: weekend news can extend the rally, and borrow plus slippage can consume the expected fade reward.
Missing rules
  • Exact universe and trigger
  • Total risk budget
  • Stop execution definition
  • Moving-average specification
  • Complete fill and cost records
Proposed test
Analyst-proposed: freeze one session-specific definition, include every eligible candidate and catastrophic squeeze, and test net of borrow, gap and slippage on held-out periods.
Automation
Observable inputs
  • OHLCV
  • Session time
  • Prior highs
  • Cash/offering history
  • Borrow fee
Deterministic parts
  • Session filter
  • Known high calculation
Human judgment
  • Perceived top
  • Mental-stop interpretation
  • Whether to hold
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Thin liquidity
  • Halt/reopening gaps
  • Mental-stop delay
  • Borrow escalation
Blockers
  • Exact universe and trigger
  • Total risk budget
  • Stop execution definition
  • Moving-average specification
  • Complete fill and cost records

Systematic parabolic small-cap short with wide stops and close exit

Andrey (N0pr3s3n7) | S21

Classification
partially specified systematic candidate
Source rules
Objective
Exploit tested parabolic-move short expectancy while staying in the move until close.
Instruments
Small-cap stocks; short-only, generally parabolic movers/gappers.
Conditions
Qualifying parabolic move; thresholds undisclosed; ordinary/multi-day runners not main focus.
Preparation
Python/Polygon collection, Excel analysis; account for halt gaps; mostly ignore news except merger/acquisition gappers.
Entry
Tested trigger, possibly multiple planned entries; exact signals and scale limits not stated.
Invalidation
Wide tested max stop; chart examples vary; exact formula not stated.
Exits
Hold until close unless max stop or invalid/mistaken entry; exact closing order not stated.
Sizing
Risk survival emphasized; exact capital fraction and entry allocation not stated.
Exposure
Not unlimited averaging; maximum entries and exposure not stated.
Refs
Worked examples
  • PRTG caption-rendered multi-entry fade winner.
  • Unclear ticker maximum stop near top.
  • Unclear ticker initially profitable then closing-near-high loss.
Failure modes
  • Narrow stops repeatedly hit before fade
  • September extreme runners
  • Premature or late invalid triggers
Missing rules
  • Exact candidate filter, triggers, stops, scale-in schedule and position limits.
  • Borrow costs/availability, spreads, halts and close execution assumptions.
  • No source test dataset, code or independent live ledger.
Proposed test
Analyst-proposed: reconstruct only after rules are supplied; use point-in-time data including halt gaps and borrow, stress correlated runners, compare intraday mark-to-market versus close outcomes, and reconcile every live fill with the frozen rules.
Automation
Observable inputs
  • OHLCV
  • halt events
  • borrow
  • corporate actions
  • qualified triggers
  • execution logs
Deterministic parts
  • Candidate and trigger logic once disclosed
  • Stop/close orders and reconciliation once specified
Human judgment
  • Some premature-entry deviations; exact deployment/manual versus automated execution not stated
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Unlimited short loss beyond a stop gap
  • halt reopen
  • late squeeze
  • borrow
  • multiple correlated entries
Blockers
  • Exact candidate filter, triggers, stops, scale-in schedule and position limits.
  • Borrow costs/availability, spreads, halts and close execution assumptions.
  • No source test dataset, code or independent live ledger.

Daily exhaustion gap with intraday backside

Yanni | S22

Classification
researchable discretionary method
Source rules
Objective
Fade rapid extension after participant exhaustion.
Instruments
Large/small stocks, IPOs and broad market; both directions.
Conditions
4 ATR in 5 days, hot theme, increased/capitulatory volume and gap; IPO exception uses recent range.
Preparation
Compare historical extremes and use playbook checklist.
Entry
Opening-range break, fast-move fade or lengthy consolidation with daily alignment; shorts below VWAP.
Invalidation
High of day mentioned for one short; full policy not stated.
Exits
Try to hold trend-day move; exact exit not stated.
Sizing
Small ordinary, larger exceptional within limits; numeric limits absent.
Exposure
not stated
Refs
Worked examples
  • Circle day-three exception.
  • Tariff downside reversal with acknowledged headline luck.
Failure modes
  • Persistent trend
  • Wrong catalyst interpretation
  • False backside
  • Gap/borrow risk
Missing rules
  • ATR definition
  • Volume threshold
  • Entry bars
  • Exit
  • Sizing
  • Borrow and costs
Proposed test
Analyst-proposed: Label all qualifying and rejected cases before observing outcomes; test incremental value of speed/theme/volume and separate IPO/market variants.
Automation
Observable inputs
  • OHLCV, ATR, VWAP, catalyst time
Deterministic parts
  • ATR-distance screen once defined
Human judgment
  • Theme strength, exhaustion, backside and size
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • ATR definition
  • Volume threshold
  • Entry bars
  • Exit
  • Sizing
  • Borrow and costs

Underlying-specific option valuation and Greek adjustment

Frank | S23

Classification
Concept only: insufficient detail for replication
Source rules
Objective
Track market and outperform occasionally with better large-move response.
Instruments
Predominantly calls, occasional puts with market indexes.
Conditions
not stated
Preparation
Asset-specific mathematical valuation model.
Entry
Buy when market price is attractive against model.
Invalidation
not stated
Exits
Continuously adjust Greeks using undisclosed criteria.
Sizing
not stated
Exposure
not stated
Refs
Worked examples
  • Self-made benchmark chart claims; no complete ticket.
Failure modes
  • Model error
  • Transaction costs
  • Small downturn underperformance
  • Greek exposure misalignment
Missing rules
  • Model
  • Inputs
  • Universe
  • Timing
  • Expiry
  • Sizing
  • Stops
  • Costs
Proposed test
Analyst-proposed: Request full model and decision log before reproducing; compare marked-to-market net returns to matching market exposure and stress small and large declines.
Automation
Observable inputs
  • Option chains and model inputs not supplied
Deterministic parts
  • No complete deterministic rule disclosed
Human judgment
  • Research and model construction
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • Model
  • Inputs
  • Universe
  • Timing
  • Expiry
  • Sizing
  • Stops
  • Costs

Momentum swing with 10 SMA management

Kyle Williams | S24

Classification
researchable discretionary method
Source rules
Objective
Capture extended trend without day-trading every move.
Instruments
Mid/large stocks; TSLL vehicle based on Tesla signal.
Conditions
Strong prior performance, sector/news and average respect.
Preparation
Scan 30% over 1/3/6 months, inspect charts.
Entry
Breakout or tight support/first 10 SMA touch.
Invalidation
Support risk for IREN; close below signal stock 10 SMA for trailing.
Exits
Discretionary trims then remainder on close below 10 SMA.
Sizing
not stated
Exposure
not stated
Refs
Worked examples
  • IREN 26 entry, approximately 1 risk, 33/48 trims, near 60 exit.
  • TSLL held when own average broke but Tesla held.
Failure modes
  • Failed breakout
  • Gap through stop
  • Overtrimming
  • ETF path effects
Missing rules
  • Scan liquidity
  • Position size
  • Initial stop for every setup
  • Trim fractions
  • Costs
Proposed test
Analyst-proposed: Define signal stock, SMA lookback and entry/exit timing before replay; include failed retries and gap losses.
Automation
Observable inputs
  • Daily OHLCV, moving averages, point-in-time news
Deterministic parts
  • Return scan and close-versus-average
Human judgment
  • Sector strength, support quality, trim choice
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • Scan liquidity
  • Position size
  • Initial stop for every setup
  • Trim fractions
  • Costs

Gap fade and confirmed overnight short

Kyle Williams | S24

Classification
researchable discretionary method
Source rules
Objective
Fade extended weak issuer after failed strength.
Instruments
BURU small-cap shares short.
Conditions
Historical failed spikes and current extension.
Preparation
not stated
Entry
Initial open short or failed bounce/lower-low reentry.
Invalidation
Premarket/high references; close if strength contradicts.
Exits
Cover flush before demanding full gap fill; optional reshort bounce.
Sizing
Small initial loss and realized cushion; formula absent.
Exposure
Overnight only when cushion, open profit and after-hours fade support thesis.
Refs
Worked examples
  • BURU staged covers then overnight 55 open/45 flush.
Failure modes
  • Squeeze
  • News gap
  • Borrow recall
  • FOMO
Missing rules
  • Borrow
  • Size
  • Hard loss cap
  • Exact trigger
  • Overnight contingency
Proposed test
Analyst-proposed: Separate day trade and overnight increment; include every failed candidate and stress news gaps without assuming cushion bounds loss.
Automation
Observable inputs
  • Intraday quotes, prior close, highs, borrow, news
Deterministic parts
  • Price-reference monitoring
Human judgment
  • Issuer quality, fade strength and overnight decision
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • Borrow
  • Size
  • Hard loss cap
  • Exact trigger
  • Overnight contingency

Parabolic short reset to backside confirmation

Kyle Williams | S24

Classification
researchable discretionary method
Source rules
Objective
Capture exhausted runner while surviving front-side attempts.
Instruments
BYND short; separate dip buys not part of core.
Conditions
not stated
Preparation
not stated
Entry
Prefer strength near planned premarket resistance; after reset small probe, add with failed pushes/VWAP break/lower low.
Invalidation
Premarket resistance and contextual max loss.
Exits
Scale into flush/support; smaller faster continuation.
Sizing
Reset to 5% former position in example, add on confirmation; not an account-risk rule.
Exposure
not stated
Refs
Worked examples
  • Early losses approximately 64K then 80K before recovery; no assurance of recovery.
Failure modes
  • Repeated front-side losses
  • Bias
  • Slippage
  • False breakdown
  • Aggregate risk hidden by setup labels
Missing rules
  • Universal loss cap
  • Retries
  • Borrow
  • Add amounts
  • Precise confirmation
Proposed test
Analyst-proposed: Replay unseen sessions forward-only with all attempts, cumulative loss, realistic slippage and a predefined retry policy.
Automation
Observable inputs
  • VWAP, highs/lows, quotes, volume
Deterministic parts
  • Track cumulative risk and references
Human judgment
  • Parabolic exhaustion and reset readiness
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • Universal loss cap
  • Retries
  • Borrow
  • Add amounts
  • Precise confirmation

Theme-led momentum continuation

Sean Rechtman | S25

Classification
researchable discretionary method
Source rules
Objective
Join leading trend after base or low-volume pullback
Instruments
Equities or directional options
Conditions
Supportive index/sector momentum and relative strength
Preparation
Theme watchlist, daily bases and volume patterns
Entry
Base breakout or continuation near moving averages; exact trigger varies
Invalidation
Clear setup level required; universal level unstated
Exits
not stated
Sizing
Illustrative 10-20% allocation with 1-2% planned risk; application across setups unclear
Exposure
not stated
Refs
Worked examples
  • Tesla 2024 post-earnings flag
  • NEM versus gold
Failure modes
  • False breakout
  • Volume does not identify institutions
  • Regime reversal
Missing rules
  • Base/volume thresholds
  • MA choices
  • Exact exits
  • Option strikes and liquidity
  • Portfolio cap
Proposed test
Analyst-proposed: Define candidate bases without future bars; compare volume-confirmed continuations with matched controls across regimes.
Automation
Observable inputs
  • OHLCV
  • Sector membership
  • Theme labels
Deterministic parts
  • MA/volume features
  • Prior levels
Human judgment
  • Theme selection
  • Stage interpretation
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • Base/volume thresholds
  • MA choices
  • Exact exits
  • Option strikes and liquidity
  • Portfolio cap

Undercut and reclaim in a leading stock

Sean Rechtman | S25

Classification
researchable discretionary method
Source rules
Objective
Enter near range low before reversal
Instruments
Stock or purchased call, usually 1-2 weeks in discussed option trades
Conditions
Choppy market, strong stock; bull-market U&R allowed
Preparation
Index context and prior-day/swing/gap low
Entry
Break under selected low then reclaim on lower timeframe
Invalidation
Low of day
Exits
Swing only with enough cushion; final exit unstated
Sizing
10-20% allocation examples; 1-2% planned account risk
Exposure
Overnight conditional on cushion
Refs
Worked examples
  • USAR prior-day-low reclaim
  • DELL earnings-gap context
Failure modes
  • Reclaim failure
  • Overnight gap
  • Option decay
Missing rules
  • Cushion threshold
  • Exact option contract
  • Stop order mapping
  • Exit policy
Proposed test
Analyst-proposed: Specify reclaim timing and permissible stop distance; test all candidates with option bid/ask and overnight gaps.
Automation
Observable inputs
  • Intraday prices
  • Prior lows
  • Index and stock relative strength
  • Option chain
Deterministic parts
  • Low breach/reclaim event
  • Day-low stop
Human judgment
  • Leadership
  • Regime
  • Cushion sufficiency
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • Cushion threshold
  • Exact option contract
  • Stop order mapping
  • Exit policy

Failed prior-high break in a downtrend

Sean Rechtman | S25

Classification
researchable discretionary method
Source rules
Objective
Short weakness without chasing lows
Instruments
Purchased puts; gold vehicle not fully identified
Conditions
Downtrend and weak sector or asset
Preparation
not stated
Entry
Exceed prior-day high then trade back below
Invalidation
High of day
Exits
Conditional overnight swing with cushion; final exit absent
Sizing
not stated
Exposure
not stated
Refs
Worked examples
  • JPM with XLF weakness
  • Gold/DXY example
Failure modes
  • Breakout resumes
  • Gap up
  • Correlation fails
Missing rules
  • Contract selection
  • Exposure
  • Cushion
  • Profit taking
Proposed test
Analyst-proposed: Test failed-high entries only after prospectively classified downtrends; isolate DXY filter rather than assume correlation.
Automation
Observable inputs
  • Previous high
  • Intraday OHLC
  • Sector/index trend
  • DXY
Deterministic parts
  • Break and recross
  • Day-high invalidation
Human judgment
  • Trend alignment
  • Macro interpretation
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • Contract selection
  • Exposure
  • Cushion
  • Profit taking

15/30-minute pivot at moving-average resistance

Sean Rechtman | S25

Classification
researchable discretionary method
Source rules
Objective
Confirm reversal in former leaders
Instruments
Purchased puts in example
Conditions
Failed highs, daily 8/21 EMA break, rebound into resistance
Preparation
not stated
Entry
First red 15-minute candle then break its low; 30-minute variant allowed; add on retest
Invalidation
Pivot candle high
Exits
Unspecified
Sizing
Add amount and total risk unspecified
Exposure
not stated
Refs
Worked examples
  • Memory-stock short, reported over $174,000
Failure modes
  • One large lucky gap dominates
  • EMA 8/9 ambiguity
  • Retest increases exposure
Missing rules
  • EMA 8 versus 9
  • Bar completion rule
  • Add sizing
  • Exit
  • Contract selection
Proposed test
Analyst-proposed: Freeze EMA/timeframe variants before testing; include unsuccessful pivots and quantify dependence on gap outliers.
Automation
Observable inputs
  • Daily EMA
  • Intraday 15/30-minute bars
  • Executable option quotes
Deterministic parts
  • Red candle high/low
  • Break trigger
Human judgment
  • Resistance and distribution
  • Choice of variant
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • EMA 8 versus 9
  • Bar completion rule
  • Add sizing
  • Exit
  • Contract selection

Weak-PR small-cap fade with theme and ownership exclusions

Adam Gefvert | S26

Classification
researchable discretionary method
Source rules
Objective
Short unsustainable news-driven rise
Instruments
Small/microcap equities short; extended sessions and swings
Conditions
Weak catalyst/economics and no perceived hot theme or coordinated squeeze
Preparation
Top gainers, full PR, historical news, financials, dilution and holder research
Entry
Discretionary pops/resistance; no exact trigger
Invalidation
Stated $200k max loss but partial-cover exception and scope unclear
Exits
Support or thesis realization; may hold several days
Sizing
Large blocks, add higher in example; formula absent
Exposure
Multiple accounts and overnight shorts; limits absent
Refs
Worked examples
  • STI after-hours, premarket, then multi-day swing
Failure modes
  • Theme mistaken for fluff
  • Ownership misclassification
  • Average-up squeeze
  • Borrow recall
  • Limit orders fail
  • Gaps exceed cap
Missing rules
  • Entry threshold
  • Classification features
  • Position/portfolio sizing
  • Borrow and locate limits
  • Hard stop semantics
  • Exit schedule
Proposed test
Analyst-proposed: Label PR substance and theme/holder risk using only contemporary data, test all flagged gainers including squeezes, and model borrow, extended-session spreads and capped versus discretionary exits.
Automation
Observable inputs
  • Point-in-time PR/filings
  • Ownership/warrant terms
  • OHLCV and quotes
  • News timing
  • Borrow rates
Deterministic parts
  • Candidate scanner
  • PR timestamp capture
  • Exposure monitoring
Human judgment
  • Materiality
  • Holder incentives
  • Theme strength
  • Entry timing
  • Conviction
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • Entry threshold
  • Classification features
  • Position/portfolio sizing
  • Borrow and locate limits
  • Hard stop semantics
  • Exit schedule

Filing-confirmed dilution management

Adam Gefvert | S26

Classification
researchable discretionary method
Source rules
Objective
Extend a short when an approval changes supply risk
Instruments
RSLS equity short example
Conditions
Already short prior runner; shareholder approval news arrives
Preparation
Monitor 8-K and understand warrant terms
Entry
Original next-morning fade before filing; not filing-generated
Invalidation
not stated
Exits
Held after 8-K then covered below $1 versus around $3 short
Sizing
not stated
Exposure
not stated
Refs
Worked examples
  • RSLS cashless-warrant shareholder approval
Failure modes
  • Misread legal terms
  • Approval not immediate sellability
  • Filing arrives after price collapse
Missing rules
  • Full warrant terms
  • Precise event timing
  • Original stop
  • Sizing
  • General exit rule
Proposed test
Analyst-proposed: Reconstruct filing receipt and quotes, distinguish preexisting position management from a new event-entry strategy.
Automation
Observable inputs
  • SEC filing timestamps/text
  • Warrant terms
  • Intraday quotes
Deterministic parts
  • Filing alerts
Human judgment
  • Legal/economic interpretation
  • Hold-versus-cover decision
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • Full warrant terms
  • Precise event timing
  • Original stop
  • Sizing
  • General exit rule

VWAP-context dip long with failed-long short transition

Xavier Comas (Xavi) | S27

Classification
researchable discretionary method
Source rules
Objective
Follow strength, then exploit failed-long selling
Instruments
Small-cap equities long/short
Conditions
Volume/catalyst/context favor strength above VWAP; failure changes bias
Preparation
not stated
Entry
Buy dip; after failure wait for bounce before shorting
Invalidation
Early no-bounce warning, perhaps 5min; exit long at VWAP failure in example; hard structural stop
Exits
Recycle bounces; trail structural levels; may halve stagnant short then stop rest
Sizing
No formula; avoid unnecessary oversize
Exposure
not stated
Refs
Worked examples
  • Good-news stock failing VWAP
  • Unidentified first-red-day long then short
Failure modes
  • Whipsaw
  • Missing bounce
  • Crowding interpretation wrong
  • Halt through stop
  • Execution costs dominate
Missing rules
  • VWAP session definition
  • Volume thresholds
  • Dip/bounce size
  • Exact stops and sizing
  • Flip frequency cap
  • Borrow/fees
Proposed test
Analyst-proposed: Define prospective VWAP/volume variants and compare immediate flips with bounce-delayed entries; report campaign and fill-level metrics separately.
Automation
Observable inputs
  • Intraday OHLCV
  • VWAP
  • News
  • Quotes
  • Prior supply zones
Deterministic parts
  • VWAP relation
  • Level alerts
  • Timed no-bounce warning
Human judgment
  • Trapped traders
  • Bounce quality
  • Regime
  • Directional change
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • VWAP session definition
  • Volume thresholds
  • Dip/bounce size
  • Exact stops and sizing
  • Flip frequency cap
  • Borrow/fees

First-red-day bounce recycling with daily context

Xavier Comas (Xavi) | S27

Classification
researchable discretionary method
Source rules
Objective
Short rebound attempts in overextended stock that turns weak
Instruments
Small-cap short; optional earlier long not required
Conditions
Daily extension then weakness/trapped longs
Preparation
not stated
Entry
Short bounces, cover drops, repeat while context holds
Invalidation
Structural level/trend change; premarket high illustrative hard stop
Exits
Cover drops; reduce half if no continuation, stop remainder
Sizing
More size at perceived imbalance; formula unstated
Exposure
not stated
Refs
Worked examples
  • Unidentified $2-to $10 stock
  • Captioned AMBN 50c-to $7
Failure modes
  • No counter-move to cover
  • False first-red-day signal
  • More exposures than chart arrows suggest
Missing rules
  • Daily extension threshold
  • Imbalance definition
  • Recycling fractions
  • Current max loss
  • Stop placement rules
Proposed test
Analyst-proposed: Include full failed campaigns, charge all turnover, model stops through halts and test regime dependence of bounce amplitude.
Automation
Observable inputs
  • Daily/intraday price
  • Quotes
  • Volume
  • Halts
Deterministic parts
  • Extension measures
  • Trade ledger
  • Risk monitor
Human judgment
  • Backside recognition
  • Level selection
  • Volatility tolerance
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • Daily extension threshold
  • Imbalance definition
  • Recycling fractions
  • Current max loss
  • Stop placement rules

Momentum-conditioned weekly cash-secured puts

Bobdog | S28

Classification
Concept only: insufficient detail for replication
Source rules
Objective
Collect premium with desired ownership exposure
Instruments
Cash-secured stock/ETF puts, sometimes in-the-money
Conditions
Fundamentals acceptable, macro awareness, usually bullish weekly momentum
Preparation
Sunday indexes and selected familiar names; proprietary stars and moving averages
Entry
Initial bullish blue star; Monday/Tuesday options often expire Friday; add with further stars
Invalidation
No explicit loss exit; bearish signal examples show reduced/exited exposure
Exits
Expiry, penny buyback or assignment; detailed rolling absent
Sizing
Example 20% of intended allocation initially; add as signals strengthen
Exposure
Cash-secured label; correlated/aggregate limits not stated
Refs
Worked examples
  • Cipher signal accumulation
  • MSTR/Coinbase ITM puts
  • IGV sector puts
Failure modes
  • Equity crash exceeds premiums
  • Signal repainting/lag
  • Assignment concentration
  • Liquidity and event gaps
Missing rules
  • Indicator formula
  • Strike/delta
  • Reserve/account limits
  • Loss exit
  • Roll rules
  • Earnings filter
Proposed test
Analyst-proposed: First obtain immutable indicator logic; otherwise test explicitly analyst-defined public proxies with full marked-to-market equity and option returns, assignment, spreads and gap scenarios.
Automation
Observable inputs
  • Point-in-time weekly bars
  • Financials
  • Options chain
  • Macro calendar
Deterministic parts
  • Contract expiry and collateral checks
  • Signal logging if available
Human judgment
  • Fundamental comfort
  • Regime
  • Signal exceptions
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • Indicator formula
  • Strike/delta
  • Reserve/account limits
  • Loss exit
  • Roll rules
  • Earnings filter

Premium-focused covered calls on acceptable holdings

Bobdog | S28

Classification
researchable discretionary method
Source rules
Objective
Collect premium while accepting call-away
Instruments
Owned shares plus covered calls
Conditions
More use near perceived peaking/risk; stocks comfortable selling
Preparation
not stated
Entry
Illustrative $100stock/$100strike/$3premium; no general strike rule
Invalidation
not stated
Exits
Let called away and return to put/cash opportunity; no rescue rule
Sizing
Covered by shares; portfolio allocation unstated
Exposure
not stated
Refs
Worked examples
  • At-the-money illustrative call
  • Cipher later calls
Failure modes
  • Stock drawdown remains
  • Upside capped
  • Premium mistaken for net return
Missing rules
  • Timing/strike rule
  • Loss management
  • Assignment/early-exercise handling
Proposed test
Analyst-proposed: Compare total return against same stocks unhedged and cash benchmark, including all assignment and underlying losses.
Automation
Observable inputs
  • Holdings
  • Options quotes
  • Dividends
  • Expiry
Deterministic parts
  • Covered quantity checks
  • Payoff accounting
Human judgment
  • Peak/risk perception
  • Willingness to sell
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • Timing/strike rule
  • Loss management
  • Assignment/early-exercise handling

Conviction-based weak-trend accumulation exception

Bobdog | S28

Classification
Concept only: insufficient detail for replication
Source rules
Objective
Accumulate before expected longer-term improvement
Instruments
Shares and assigned cash-secured puts
Conditions
High-conviction fundamental/sector thesis despite weak technicals
Preparation
not stated
Entry
Incremental weekly buildup or puts; RDW before resistance break
Invalidation
not stated
Exits
Unstated; willing to hold long-term
Sizing
Partial increments without cap
Exposure
not stated
Refs
Worked examples
  • RDW
  • HOOD
  • OPEN
Failure modes
  • Permanent impairment
  • Catalyst delay
  • Averaging compounds exposure
Missing rules
  • Falsifiable thesis
  • Maximum allocation
  • Holding/stop rules
  • Rate condition threshold
Proposed test
Analyst-proposed: Separate these discretionary exceptions from momentum results; test capped accumulation under prolonged weakness and failed catalysts.
Automation
Observable inputs
  • Prices
  • Fundamentals
  • Rates
  • Holdings
Deterministic parts
  • Allocation tracking
Human judgment
  • Long-term winner judgment
  • Exception permission
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • Falsifiable thesis
  • Maximum allocation
  • Holding/stop rules
  • Rate condition threshold

Daily overextension with intraday failed-push reversal

Binh (caption: Ben) | S29

Classification
researchable discretionary method
Source rules
Objective
Trade decline after an unusually extended rise
Instruments
Underlying equities/ETFs, futures or purchased puts
Conditions
Daily band/MA/ATR extension, rising volume; turn and technical level
Preparation
Historical analogs; inspect more active underlying and relevant sessions
Entry
Failed opening push, trendline break, tape/volume turn; exact criteria absent
Invalidation
Technical level proving thesis wrong; example idea budget split across attempts
Exits
Gold mostly at Asian lows; volume-based exits and a trailer; exact method absent
Sizing
Illustration $30k idea risk in 3x $10k attempts; sometimes total-premium loss sizing
Exposure
Simultaneous futures/equity exposure acknowledged, aggregate limits absent
Refs
Worked examples
  • October 17 gold with failed Asian strength and New York opening push
  • Silver first backside day and day-two continuation
Failure modes
  • Persistent front-side rise
  • Repeated stopouts
  • Halt/slippage
  • Correlated vehicles
  • Sparse analog overfit
Missing rules
  • X thresholds
  • MA type and band parameters
  • Exact risk level
  • Portfolio cap
  • Entry confirmation
  • Trailer rules
Proposed test
Analyst-proposed: Freeze classifier values before testing all extremes; compare failed-push entries with immediate fades across full sessions and include repeated attempts, costs and crisis outliers.
Automation
Observable inputs
  • Continuous futures/session data
  • ETF prices
  • Volume
  • Order-book snapshots
  • Options chain
Deterministic parts
  • Extension measurements
  • Session highs/lows
  • Budget tracking
Human judgment
  • Backside recognition
  • Theme intensity
  • Meaningful level
  • Analog relevance
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • X thresholds
  • MA type and band parameters
  • Exact risk level
  • Portfolio cap
  • Entry confirmation
  • Trailer rules

Purchased-option vehicle selection for a fast reversal

Binh (caption: Ben) | S29

Classification
researchable discretionary method
Source rules
Objective
Express downside while reserving capital for attempts
Instruments
Long puts; Friday 0DTE in metal examples
Conditions
Fast directional move expected; aware IV already elevated
Preparation
not stated
Entry
Before anticipated break near technical risk point
Invalidation
Underlying level or premium-loss budget; exact translation absent
Exits
Sell into decline/volatility expansion; no exact pricing target
Sizing
Sometimes full premium at risk, sometimes delta amount;50 delta slow/20-30fast examples
Exposure
not stated
Refs
Worked examples
  • Gold 0DTE
  • Cited $36k option position
Failure modes
  • Theta loss
  • IV does not expand
  • Wide spreads
  • Expiry/intraday gamma
  • Delta shifts
Missing rules
  • Contract strikes/quotes
  • Expiry alternatives
  • Greek estimation
  • Stop translation
  • Position cap
Proposed test
Analyst-proposed: Compare strikes/maturities using actual executable quotes and separate direction, time and IV P&L; do not assume volatility expansion adds profit.
Automation
Observable inputs
  • Historical option bid/ask
  • Underlying ticks
  • IV/Greeks
  • Expiry
Deterministic parts
  • Risk exposure calculations
  • Contract filters once specified
Human judgment
  • Expected speed
  • Timing
  • Vehicle choice
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • Contract strikes/quotes
  • Expiry alternatives
  • Greek estimation
  • Stop translation
  • Position cap

Buffered range iron condor

Ravish | S30

Classification
researchable discretionary method
Source rules
Objective
Collect premium within a forecast range.
Instruments
Stock options, Meta illustration.
Conditions
Predictable range, often after earnings; avoid macro stress.
Preparation
Historical ranges and OptionStrat.
Entry
Short put below and call above range with buffer; buy outside wings.
Invalidation
Range breach; exact rule not stated.
Exits
Exit failed range; profit timing not stated.
Sizing
Small while learning; fraction not stated.
Exposure
Defined risk preferred; portfolio limit not stated.
Refs
Worked examples
  • $100 spot, $90/$110 shorts.
  • Meta hedged credit $269 and modeled loss $731; strikes inconsistent.
Failure modes
  • Breakout
  • Gap
  • Wrong range
  • Unspecified adjustments
Missing rules
  • Full legs
  • Estimator
  • Exit
  • Sizing
  • Adjustments
Proposed test
Analyst-proposed: Fix missing rules before tests; stress both tails and compare bid/ask results with and without adjustments.
Automation
Observable inputs
  • Prices, chains, events
Deterministic parts
  • Payoff once strikes fixed
Human judgment
  • Range and skip judgments
Data and timing
Synchronized historical chains, bid/ask, underlying, event dates and Greek assumptions needed; vendor not disclosed.
Execution risks
Multi-leg fills, stale quotes, fees, expiry/assignment and failures need validation.
Blockers
  • Estimator, adjustments and sizing absent

Nvidia earnings iron fly

Ravish | S30

Classification
partially specified systematic candidate
Source rules
Objective
Sell expected earnings move above recent realized move.
Instruments
Nvidia ATM call/put shorts and outside wings.
Conditions
Selected earnings after recent backtest.
Preparation
Compare structures and wings.
Entry
15 minutes before close in main statement; later says open.
Invalidation
not stated
Exits
First 5-10 minutes after next open; losing case not stated.
Sizing
One-contract backtest only.
Exposure
Defined modeled risk.
Refs
Worked examples
  • 225 shorts, 205 put and spoken 245 put; upper type uncertain.
  • $1,100 credit/$894 loss; four-event reported test.
Failure modes
  • Gap
  • Opening spreads
  • Model error
  • Overfit selection
Missing rules
  • Expiry
  • Upper wing type
  • Loss exit
  • Fills
  • Holdout
Proposed test
Analyst-proposed: Reconstruct contracts and quote-level early-exit distributions, resolve conflicts and reserve future events as holdouts.
Automation
Observable inputs
  • Earnings, chains, timestamps
Deterministic parts
  • Entry and exit after clarification
Human judgment
  • Eligible events/stocks
Data and timing
Synchronized historical chains, bid/ask, underlying, event dates and Greek assumptions needed; vendor not disclosed.
Execution risks
Multi-leg fills, stale quotes, fees, expiry/assignment and failures need validation.
Blockers
  • Expiry and type conflicts, loss exits and sample selection

Theta machine calendars

Ravish | S30

Classification
researchable discretionary method
Source rules
Objective
Differential decay with chosen direction.
Instruments
QQQ/Google call and put calendars.
Conditions
Slow grind preferred; nearer spot for neutral.
Preparation
Model combined Greeks and payoff.
Entry
Earlier short/later long at same strike; directional 20-30 delta example.
Invalidation
not stated
Exits
Usually close before short expiry; flexible 20-50% gains and pullback reentry.
Sizing
$100-$200 illustrations, small practice; fraction absent.
Exposure
Modeled debit risk; portfolio cap absent.
Refs
Worked examples
  • QQQ 740 June 12 short/June 18 long; $162 loss/$618 peak.
  • Google 400 short June 18 and later long; $175 loss/$575 peak.
Failure modes
  • Wrong direction
  • Overshoot
  • Volatility term shifts
  • Expiry
  • Hindsight exit selection
Missing rules
  • Stop
  • Expiry algorithm
  • Volatility inputs
  • Pullback definition
  • Sizing
Proposed test
Analyst-proposed: Separate directional and neutral variants, preregister choices, and test synchronized executable quotes with volatility stress.
Automation
Observable inputs
  • Chains, expiries, Greeks, spread P/L
Deterministic parts
  • Same-strike construction and defined exit
Human judgment
  • Outlook and term choice
Data and timing
Synchronized historical chains, bid/ask, underlying, event dates and Greek assumptions needed; vendor not disclosed.
Execution risks
Multi-leg fills, stale quotes, fees, expiry/assignment and failures need validation.
Blockers
  • No complete selection, stop or volatility model

QQQ dip LEAP

Ravish | S30

Classification
Concept only: insufficient detail for replication
Source rules
Objective
Participate in a rebound.
Instruments
One-year QQQ call.
Conditions
1% decline, reference basis absent.
Preparation
QQQ CSV in ChatGPT.
Entry
Buy after dip; strike absent.
Invalidation
not stated
Exits
50% option profit target.
Sizing
not stated
Exposure
not stated
Refs
Worked examples
  • Reported 90% stock touch +10% in six months, conflicting with three-month question.
Failure modes
  • Drawdown
  • Decay
  • Wrong proxy
Missing rules
  • Strike
  • Trigger
  • Stop
  • Overlap
  • Sample
  • Horizon
Proposed test
Analyst-proposed: Reproduce forward-only stock statistic, then independently test option quotes.
Automation
Observable inputs
  • QQQ price and chains
Deterministic parts
  • Trigger/target once clarified
Human judgment
  • Hypothesis
Data and timing
Synchronized historical chains, bid/ask, underlying, event dates and Greek assumptions needed; vendor not disclosed.
Execution risks
Multi-leg fills, stale quotes, fees, expiry/assignment and failures need validation.
Blockers
  • Missing horizon, strike, sample, stop

Operational-progress investment with optional LEAPS conversion

Stan (Stan100X) | S31

Classification
researchable discretionary method
Source rules
Objective
Capture large long-term business revaluation.
Instruments
Selected company shares and long-dated calls; Rocket Lab primary example.
Conditions
Understood growing industry, credible management, operational progress; cheapness judged subjectively.
Preparation
Read/listen earnings calls, compare promises to delivery, study industry and financing.
Entry
No fixed stock trigger; LEAPS conversion after perceived good-news/weak-price mismatch.
Invalidation
Exit businesses when expected progress fails; measurable thresholds not stated.
Exits
Partial sale at original-capital recovery, final wealth milestone in example; generic rule not stated.
Sizing
Personally all-in tendency; small basket suggested to others. Defined risk fraction not stated.
Exposure
Concentrated option premium could be lost entirely; account limit not stated.
Refs
Worked examples
  • Rocket Lab shares then reported 222 five-strike calls at quoted 1.47; expiry and rolls missing.
  • Aston Martin exit after failed business milestones.
Failure modes
  • Wrong management assessment
  • Permanent business loss
  • Dilution without per-share growth
  • Theme delay outlasts call expiry
  • Family capital concentrated in a tail-risk bet
Missing rules
  • Valuation model
  • Option expiry/rolls
  • Entry and invalidation thresholds
  • Position limits
  • Drawdown controls
  • Complete cash-flow-adjusted return
Proposed test
Analyst proposal: define business milestones and valuation bands before selection, compare shares with matched call expiries across successful and failed firms, record total contributions and open drawdowns, include dilution, option costs and delayed catalysts. Do not infer a system from one dominating winner.
Automation
Observable inputs
  • Filings
  • Share count
  • Revenue/margins
  • Contract disclosures
  • Option chain
Deterministic parts
  • Milestone tracking
  • Capital and option exposure reporting
Human judgment
  • Management quality
  • Business durability
  • Narrative/valuation mismatch
Data and timing
Point-in-time filings and earnings disclosures, full option quotes and corporate actions.
Execution risks
  • Wide option spreads
  • Expiry
  • Concentration
  • Unfunded commitments
Blockers
  • Subjective valuation and no complete risk/exit rules

After-hours backside short using trapped-long failure

Lucas Marin | S32

Classification
researchable discretionary method
Source rules
Objective
Capture a fade after an extended-hours rise loses support.
Instruments
Active small-cap runners; no-news preferred, real-news trades smaller.
Conditions
Failure and rebound/lower high with acceptable stop distance; float/news/liquidity assessed.
Preparation
Session performance review, daily resistance, news and float.
Entry
Short after failure on first or second bounce, second considered safer; precise trigger not stated.
Invalidation
Above structural reference; one-action full cover at ask plus unspecified offset.
Exits
Cover into subsequent crack; complete profit-taking plan not stated.
Sizing
Scale with clearer stop; sometimes use earlier profits as giveback budget or larger size on favored forced-cover setup; account-risk fraction not stated.
Exposure
All-account and daily loss limits not stated.
Refs
Worked examples
  • WBUY-like chart first and second lower-high discussion, precise displayed levels unavailable.
  • KALA-like fade with near stop-out.
  • SMX rejected risk/reward despite apparent trapped-long area.
Failure modes
  • False backside and renewed squeeze
  • Thin after-hours spread and incomplete fill
  • News changes demand
  • Stop distance too wide
  • Unverified liquidation story mistaken for guaranteed reversal
Missing rules
  • Numeric liquidity/float screen
  • Exact structure definition
  • Borrow/fees
  • Account and daily risk
  • Profit-taking rule
  • Hotkey route/offset
Proposed test
Analyst proposal: annotate all after-hours candidate failures before outcome, compare first versus second lower high, maintain news/float/session strata, include borrow and bid-ask costs, and stress reentry plus multi-account risk. Log max adverse excursion and failed exits rather than only final win rate.
Automation
Observable inputs
  • Intraday quotes/volume
  • Prior peaks/lows
  • Daily levels
  • News timestamps
  • Float/borrow
Deterministic parts
  • Candidate screen
  • Risk-distance arithmetic
  • Approved order hotkeys
Human judgment
  • Backside validity
  • Trapped-long interpretation
  • News significance
  • Liquidation hypothesis
Data and timing
After-hours bid/ask and trades with exact timezone, borrow availability and news then known.
Execution risks
  • Spread
  • Sparse book
  • Stop slippage
  • Borrow recall
  • Correlated accounts
Blockers
  • Discretionary context and absent complete risk/exit parameters

Pre-earnings momentum calls

Zoo (captioned name, uncertain spelling) | S33

Classification
partially specified systematic candidate
Source rules
Objective
Capture anticipatory bullish move before earnings.
Instruments
Strong momentum shares or long calls; large tech examples.
Conditions
Stock exhibits pre-earnings rally behavior, often after positive prior reports.
Preparation
Review prior earnings windows and current momentum, track calendar.
Entry
Weeks to month before earnings, generally momentum through local high; exact trigger not stated.
Invalidation
Trade-level stop not stated; portfolio drawdown stop applies.
Exits
Sell long calls before earnings, often earlier; exact profit/price/time rule not stated.
Sizing
not stated
Exposure
Portfolio liquidation after stated 10-15%, maximum20% drawdown range, anchor not stated.
Refs
Worked examples
  • Earlier Microsoft run; later Microsoft rejected
  • Palantir recent pre-earnings rallies
  • HOOD squeeze confluence
Failure modes
  • No anticipatory rally
  • Buying too early
  • IV declines or fails to offset decay
  • Missed release exit
  • Correlated tech exposure
Missing rules
  • Strike/delta
  • Entry trigger
  • Trade stop
  • Size
  • Exact exit day
  • IV screen
Proposed test
Analyst proposal: use point-in-time universe selection, compare all pre-event windows and failed names, test fixed candidate entries/exits on actual option quotes, include earnings date changes and costs, then validate out of sample.
Automation
Observable inputs
  • Earnings dates
  • Prior report reactions
  • Momentum
  • Option IV/expiry
Deterministic parts
  • Calendar and exposure monitoring once rules defined
Human judgment
  • Stock personality
  • Regime fit
  • Entry timing
Data and timing
Point-in-time event calendar, underlying quotes and complete historical option chains; exact earnings release time needed.
Execution risks
  • Spreads and slippage
  • Gap risk
  • Premium decay
  • Assignment or collateral demands for shorts
Blockers
  • Strike/delta
  • Entry trigger
  • Trade stop
  • Size
  • Exact exit day
  • IV screen

Squeeze compression release

Zoo (captioned name, uncertain spelling) | S33

Classification
Concept only: insufficient detail for replication
Source rules
Objective
Join movement after consolidation.
Instruments
Stocks/options, HOOD example.
Conditions
Indicator red consolidation dots then green release; direction not provided by indicator.
Preparation
Look for compression, optionally pre-earnings confluence.
Entry
Around release or consolidation; precise trigger not stated.
Invalidation
not stated
Exits
not stated
Sizing
not stated
Exposure
Portfolio-stop context only.
Refs
Worked examples
  • HOOD December chart described
Failure modes
  • Wrong direction
  • False breakout
  • Premium loss during waiting
Missing rules
  • Indicator formula/settings
  • Directional filter
  • Entry/stop/exit
  • Sizing
Proposed test
Analyst proposal: identify exact indicator settings before testing, log both breakout directions and false releases, and test whether earnings context adds value net of costs.
Automation
Observable inputs
  • Price range
  • Specified squeeze series
  • Earnings window
Deterministic parts
  • Calendar and exposure monitoring once rules defined
Human judgment
  • Direction
  • Confluence quality
Data and timing
Point-in-time event calendar, underlying quotes and complete historical option chains; exact earnings release time needed.
Execution risks
  • Spreads and slippage
  • Gap risk
  • Premium decay
  • Assignment or collateral demands for shorts
Blockers
  • Indicator formula/settings
  • Directional filter
  • Entry/stop/exit
  • Sizing

Shares and short premium for uncertain reversal timing

Zoo (captioned name, uncertain spelling) | S33

Classification
Concept only: insufficient detail for replication
Source rules
Objective
Bullish exposure or premium collection without requiring immediate call appreciation.
Instruments
Shares, short puts, covered calls; leveraged shares also discussed.
Conditions
Reversal timing uncertain or premium attractive; quantitative filter not stated.
Preparation
Understand collateral and potential stock obligation.
Entry
not stated
Invalidation
not stated
Exits
not stated
Sizing
Cash/capital needed to support obligations, formula not stated.
Exposure
Portfolio-stop context; individual gap/collateral limit not stated.
Refs
Worked examples
  • HIMS shares amid tariff uncertainty
  • Reported material 2024 premium contribution
Failure modes
  • Large stock drop overwhelms premium
  • Assignment
  • Covered upside capped
  • Leveraged-share path risk
Missing rules
  • Strike
  • Expiry
  • Collateral policy
  • Adjustments
  • Exit
  • Sizing
Proposed test
Analyst proposal: separate cash-secured puts, covered calls and any uncovered exposure; measure return on collateral, drawdown and event tails, not just win rate.
Automation
Observable inputs
  • Option quotes
  • Holdings
  • Collateral
  • Event dates
Deterministic parts
  • Calendar and exposure monitoring once rules defined
Human judgment
  • Reversal thesis
  • Instrument selection
Data and timing
Point-in-time event calendar, underlying quotes and complete historical option chains; exact earnings release time needed.
Execution risks
  • Spreads and slippage
  • Gap risk
  • Premium decay
  • Assignment or collateral demands for shorts
Blockers
  • Strike
  • Expiry
  • Collateral policy
  • Adjustments
  • Exit
  • Sizing

Short-dated SPY calls/puts with exposure context

Zoo (captioned name, uncertain spelling) | S33

Classification
Concept only: insufficient detail for replication
Source rules
Objective
Day-trade directional index moves with more time than zero DTE.
Instruments
SPY calls/puts roughly three or five days to expiry.
Conditions
Gamma/delta exposure context mentioned; actual conditions not stated.
Preparation
Journal expiry-specific outcomes; exposure data source not stated.
Entry
not stated
Invalidation
not stated
Exits
not stated
Sizing
Earlier zero-DTE trials one contract at a time; later sizing not stated.
Exposure
Portfolio-stop context only.
Refs
Worked examples
  • Personal journal comparison, no fills or sample statistics
Failure modes
  • Timing failure
  • Overnight gap if retained
  • Misinterpreted exposure model
  • Costs
Missing rules
  • Exposure model
  • Entry/exit
  • Stop
  • Size
  • Overnight policy
Proposed test
Analyst proposal: compare matched entries across expiries with net P&L and drawdown, not success rate alone; define exposure data and timing before evaluation.
Automation
Observable inputs
  • SPY quotes
  • Option chain
  • Defined exposure estimates
Deterministic parts
  • Calendar and exposure monitoring once rules defined
Human judgment
  • Regime
  • Directional thesis
Data and timing
Point-in-time event calendar, underlying quotes and complete historical option chains; exact earnings release time needed.
Execution risks
  • Spreads and slippage
  • Gap risk
  • Premium decay
  • Assignment or collateral demands for shorts
Blockers
  • Exposure model
  • Entry/exit
  • Stop
  • Size
  • Overnight policy

Red Monday / Turnaround Tuesday

Naoufel | S34

Classification
partially specified systematic candidate
Source rules
Objective
Calendar reversal example; economic cause not stated
Instruments
Apple test; ETF ticker/leverage conflict preserved
Conditions
Monday closes below its open
Preparation
Daily open/close and day of week
Entry
Long direction inferred; exact order timing not stated
Invalidation
5% stop stated; order implementation not stated
Exits
One bar / one day
Sizing
Not stated; risk-of-ruin framework discussed separately
Exposure
Not stated
Refs
Worked examples
  • Guest reports roughly 58% winners on Apple; later cites 1.9% annual return. ETF test reportedly has 15% average annual return and 14% drawdown. These are screen descriptions, not verified backtest data.
Failure modes
  • Same-close look-ahead if final signal assumes an unachievable fill
  • Overnight gaps through stop
  • Selecting the best ETF after seeing results
Missing rules
  • Exact direction and order convention
  • Dates, cost model and corporate-action handling
  • Consistent ETF ticker/leverage
  • Position and portfolio risk budgets
Proposed test
Freeze a precise version; treat next-open and feasible close-auction implementations as separate analyst-defined variants. Use untouched chronological data, realistic gaps and fees, then paper-test.
Automation
Observable inputs
  • Weekday
  • Daily open and close
Deterministic parts
  • Red Monday condition
  • One-bar exit once defined
Human judgment
  • Choice of universe and research acceptance rules
Data and timing
  • Final daily bars arrive after the closing signal; specify executable order time
Execution risks
  • Gaps
  • Slippage
  • Stop order failure to cap fill price
Blockers
  • Missing source execution and sizing rules

Reduce allocation after equity drawdown

Naoufel | S34

Classification
partially specified systematic candidate
Source rules
Objective
Reduce equity volatility
Instruments
His exported portfolio trades
Conditions
5% equity drawdown in simulation
Preparation
CSV trade history
Entry
Keep underlying strategy entries
Invalidation
Not a trade-level stop
Exits
Keep underlying exits
Sizing
Compare 50% or 75% reduction; restore 100% at new equity high
Exposure
Exact aggregate allocation not stated
Refs
Worked examples
  • Guest reports both reduced-allocation simulations improved profit and drawdown, with more stagnation; no trade-level reconstruction supplied.
Failure modes
  • Path-dependent threshold recalculation
  • Inability to recover an equity high quickly at reduced size
  • Overfitting a threshold to one history
Missing rules
  • Reference equity: scaled, unscaled, realized or marked to market
  • Trigger/reset timing
  • Deposits/withdrawals and simultaneous trades
Proposed test
Preregister reference equity and timing; reconstruct chronological net fills; compare fixed-size baseline across untouched regimes and prospective paper trading.
Automation
Observable inputs
  • Account equity
  • Prior high-water mark
Deterministic parts
  • Threshold and allocation change after convention is fixed
Human judgment
  • Choosing threshold and rejecting overfit results
Data and timing
  • Chronological marked-to-market equity and executable next decision time
Execution risks
  • Correlated concurrent losses
  • Gaps before resizing
Blockers
  • Undefined reference path and portfolio rules

Historical OTC panic dip buy

Aiden (Below Trading) | S35

Classification
Concept only: insufficient detail for replication
Source rules
Objective
Bounce from OTC panic.
Instruments
OTC stocks.
Conditions
Hot2020-2021 market.
Preparation
Level2 observation.
Entry
Dip-buy panic; exact trigger not stated.
Invalidation
Not stated.
Exits
Not stated.
Sizing
Increased after perceived understanding; formula not stated.
Exposure
Not stated.
Refs
Worked examples
  • Kind
    Reported historical learning experience; complete OTC trade not supplied
    Source account
    Reconstruction limit
    The guest did not bring the old charts; precise panic-buy entry and sell rules are absent.
Failure modes
  • Source reported failures or qualifications
    • Explanation
      When OTC conditions changed he lacked technical and emotional ability to manage the larger account or adapt. He gave back roughly65K over the next year and recognized continued trading could destroy remaining gains.
      Refs
    • Explanation
      He names panic buying using Level2 in hot OTC conditions, but brings no old charts and gives no exact trigger, stop or sell procedure. It explains early success without being a replicable recipe.
      Refs
    Analyst inference
    Analyst inference: a panic may continue without the familiar bounce, especially after the favorable OTC regime ends.
Missing rules
  • Trigger
  • Stop
  • Exit
  • Universe
  • Costs
Proposed test
Analyst-proposed: obtain original trade charts before defining any test.
Automation
Observable inputs
  • OTC quotes and prints
Deterministic parts
None specified.
Human judgment
  • Panic interpretation
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Liquidity
  • Stale prints
Blockers
  • Trigger
  • Stop
  • Exit
  • Universe
  • Costs

First-green-day retracement bounce

Aiden (Below Trading) | S35

Classification
researchable discretionary method
Source rules
Objective
Temporary rebound after strong run and retracement.
Instruments
Listed small stocks; precise universe not stated.
Conditions
Strong initial run on volume, clean retracement and base; lower volume may support squeeze thesis.
Preparation
Map retracement low and profit levels; note premarket pop and reclaim.
Entry
Near base/risk low, possibly after failed breakdown/reclaim; no chase.
Invalidation
Retracement low; exact order type and slippage buffer not stated.
Exits
Scale into chart targets and strength; backside move caution.
Sizing
Depends on distance to risk; exact formula not stated.
Exposure
Cash account; session rules not stated.
Refs
Worked examples
  • Kind
    Narrated PSTV winner and separate losing attempt
    Source account
    • Explanation
      He recalls about1.29 entry against1.25, selling pieces into marked levels up to roughly1.70. Four cents is planned per-share distance, not guaranteed stop fill or account loss. He missed a second leg.
      Refs
    • Explanation
      On an unnamed January8 example, he over-sized after a premarket pop, saw about1000 open profit, imagined five figures, added far from risk, then added at arbitrary levels. A small support break triggered a panicked exit around1500 loss.
      Refs
    • Explanation
      After spending available cash on early attempts he could only watch a failed breakdown reclaim the premarket low and surge. The behavioral guardrail prevented revenge but also removed flexibility for a better signal.
      Refs
    • Explanation
      In the losing-trade review, repeated inability to break lower followed by reclaim of the premarket low was the stronger tell. This is a contextual confirmation, not evidence that he actually bought the successful reversal.
      Refs
    Reconstruction limit
    The missed reclaim is a counterexample to timing and sizing, not a successful trade attributed to the guest.
Failure modes
  • Source reported failures or qualifications
    Analyst inference
    Analyst inference: increasing size far from the planned low can turn a small price setback into a large account loss before a later rebound.
Missing rules
  • Run/volume thresholds
  • Base duration
  • Reclaim rule
  • Position risk
  • Stop type
Proposed test
Analyst-proposed: define contemporaneous base and volume gates, compare anticipatory and reclaim entry, include failed bounces and cash constraints.
Automation
Observable inputs
  • OHLCV
  • Premarket levels
  • Quotes
Deterministic parts
  • Measure retracement
  • Track prior lows
Human judgment
  • Clean base
  • Strong prior run
  • Tape quality
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Support break slippage
  • Premature adds
  • Cash exhausted before valid signal
Blockers
  • Run/volume thresholds
  • Base duration
  • Reclaim rule
  • Position risk
  • Stop type

Lower-level anticipation of main breakout

Aiden (Below Trading) | S35

Classification
researchable discretionary method
Source rules
Objective
Gain favorable entry before major breakout.
Instruments
Listed momentum stocks.
Conditions
Recent similar runners; lower key level breaks with firm tape.
Preparation
Map first-green-day high and main breakout; scanner and analogous leader.
Entry
Opening pullback after lower-level break when Level2/tape firm.
Invalidation
Lower structural risk reference; exact price not stated.
Exits
Sell along advance, into main breakout, retain piece for continuation.
Sizing
Not stated.
Exposure
Cash account; not otherwise stated.
Refs
Worked examples
  • Kind
    Narrated SUNE anticipation using an earlier leader analogy
    Source account
    • Explanation
      He observed stocks with recent offerings gap down and later spike. SUNE was on his scanner but the initial run was too weak for his preferred first-green-day setup; he waited for a later breakout opportunity.
      Refs
    • Explanation
      He used a prior-day HMR breakout as an analogy for SUNE, despite missing HMR because he lacked a good entry. Familiarity from earlier scans helped identify the later opportunity. Ticker HMR is retained as captioned.
      Refs
    • Explanation
      Instead of buying the obvious52-cent breakout, he targeted the lower first-green-day high, then an opening pullback with firm Level2/tape. He planned partial sales along the way, including into the main breakout, leaving a piece for continuation.
      Refs
    Reconstruction limit
    Preserve the captioned comparison ticker and missing precise entry/stop; no complete fill ledger is inferred.
Failure modes
  • Source reported failures or qualifications
    • Explanation
      He distinguishes studied patterns from discretionary adaptations when recent stocks share behavior. Conviction comes from recognizing current recurrence, but no sample threshold or test protects against overreading a small cluster.
      Refs
    • Explanation
      He observed stocks with recent offerings gap down and later spike. SUNE was on his scanner but the initial run was too weak for his preferred first-green-day setup; he waited for a later breakout opportunity.
      Refs
    • Explanation
      He used a prior-day HMR breakout as an analogy for SUNE, despite missing HMR because he lacked a good entry. Familiarity from earlier scans helped identify the later opportunity. Ticker HMR is retained as captioned.
      Refs
    • Explanation
      Instead of buying the obvious52-cent breakout, he targeted the lower first-green-day high, then an opening pullback with firm Level2/tape. He planned partial sales along the way, including into the main breakout, leaving a piece for continuation.
      Refs
    Analyst inference
    Analyst inference: a prior leader is an analogy, not confirmation; the lower-level entry can fail before the main breakout attracts buyers.
Missing rules
  • Analog selection
  • Tape firmness metric
  • Exact stop
  • Partial percentages
  • Risk budget
Proposed test
Analyst-proposed: replay all candidates identified before breakout, compare lower-level entry against buying main breakout net of failures/slippage.
Automation
Observable inputs
  • Scanner
  • Prior session highs
  • Level2/tape
Deterministic parts
  • Map prior green-day high
Human judgment
  • Analogue strength
  • Firm tape
  • Current regime
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Early entry fails
  • Breakout rejects
  • Hindsight selection
Blockers
  • Analog selection
  • Tape firmness metric
  • Exact stop
  • Partial percentages
  • Risk budget

Early-premarket low-volume squeeze fade

Pace | S36

Classification
researchable discretionary method
Source rules
Objective
Short an unusual low-participation spike and cover its fade.
Instruments
Small-cap momentum stocks; exact price/float universe not stated.
Conditions
Early premarket, low-volume squeeze without meaningful news; distinguish regular-session high volume.
Preparation
Track stats/patterns and monitor from start of premarket; check news.
Entry
Tiny front-side probe optional; add on first weakness, double top, preferred trendline break and consolidation breakdown.
Invalidation
Regular-session high-volume strength, repeated up halts or surpassing premarket high; exact premarket stop not stated.
Exits
Cover during fade; example regular-session cover around $10; general exit rule not stated.
Sizing
Gradual within comfort; example 30-share probes toward 300-500, not universal size.
Exposure
Limit front-side size and stop adding when enough exposure; max account risk not stated.
Refs
Worked examples
  • Unclear T ticker: reported ~300 shares short average $60, covered ~$10, ~$15K gross gain.
Failure modes
  • Regular-session high-volume continuation
  • Oversized front-side entry
Missing rules
  • Exact scanner thresholds, news exclusions, line construction, adds and stops.
  • Borrow availability, spread/fees, halt handling and account risk.
  • Premarket catastrophic-exit plan and systematic profit-taking absent.
Proposed test
Analyst-proposed: event study of early spikes using executable quotes and borrow, separate news/volume regimes, then test weakness entries against probes; include extreme continuation, halts and spread impact.
Automation
Observable inputs
  • Premarket OHLCV/quotes
  • news
  • borrow
  • trendline/retest candidates
  • regular-session volume
Deterministic parts
  • Screening/logging after definitions
Human judgment
  • News significance
  • low-volume interpretation
  • trendline
  • irregular double top
  • exposure comfort
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Extreme short squeeze
  • no reliable early stop
  • thin fills
  • halts
  • locates
  • gap through intended risk
Blockers
  • Exact scanner thresholds, news exclusions, line construction, adds and stops.
  • Borrow availability, spread/fees, halt handling and account risk.
  • Premarket catastrophic-exit plan and systematic profit-taking absent.

Out-of-money option selling, separate account

Pace | S36

Classification
Concept only: insufficient detail for replication
Source rules
Objective
High-accuracy option selling fitting personal preference.
Instruments
Out-of-money options; underlying not stated.
Conditions
Not stated.
Preparation
Not stated.
Entry
Not stated.
Invalidation
Not stated.
Exits
Not stated.
Sizing
Larger account than stock strategy; exact amount not stated.
Exposure
Not stated.
Refs
Worked examples
  • Kind
    Separate-account concept; option trade not supplied
    Source account
    • Explanation
      He says another larger-account strategy sells out-of-money options and is not displayed on Kinfo here. No underlying, expiry, width, size, entry, adjustment or tail-loss controls are disclosed. Do not attribute the short-stock record to this options method.
      Refs
    Reconstruction limit
    The short-stock result is not evidence of this option method. Required contract and tail-risk details are missing.
Failure modes
  • Source reported failures or qualifications
    • Explanation
      He says another larger-account strategy sells out-of-money options and is not displayed on Kinfo here. No underlying, expiry, width, size, entry, adjustment or tail-loss controls are disclosed. Do not attribute the short-stock record to this options method.
      Refs
    Analyst inference
    Analyst inference: option premium collection can coexist with large adverse exposure; without contracts, collateral and exits, the loss distribution cannot be bounded from this interview.
Missing rules
  • All strategy rules beyond selling OTM options.
Proposed test
Analyst-proposed: obtain complete structure and loss-tail controls before testing.
Automation
Observable inputs
  • Option chain once instruments specified
Deterministic parts
  • None specified
Human judgment
  • Entire method undisclosed
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Undefined short-option tail exposure
Blockers
  • All strategy rules beyond selling OTM options.

Seven-strategy near-close leveraged-index allocation

Mallik (TQQQTrader) | S37

Classification
partially specified systematic candidate
Source rules
Objective
Capture Nasdaq trend and mean-reversion regimes with dynamic directional exposure.
Instruments
TQQQ/SQQQ; NDX signal data.
Conditions
Price-based trend/mean-reversion outputs; full rules not stated.
Preparation
Refresh cached history and real-time data; run seven strategies.
Entry
Near-close account target-weight reconciliation.
Invalidation
Model trend/deceleration changes; exact rules not stated; no hard drawdown stop stated.
Exits
Reduce or close target weights; possible months/years core hold.
Sizing
Target percentages; example30% TQQQ/0% SQQQ; combination weights and risk caps not stated.
Exposure
Leveraged ETF exposure, can allocate100% TQQQ; compounding retained.
Refs
Worked examples
  • Kind
    Operational target-weight demonstration and reported position example
    Source account
    • Explanation
      An AWS VM starts roughly15-20 minutes before close and trades in the final10 or10-15 minutes. The demo computes midday decisions but deliberately does not submit orders outside the time window. Exact cutoff wording varies.
      Refs
    • Explanation
      In the demo target is30 percent TQQQ and zero SQQQ. The engine reads current holdings and calculates per-account delta, with one account needing42 shares and others no action. The30 percent is an output example, not a permanent weight.
      Refs
    • Explanation
      He says a recent move put100 percent into TQQQ, with Nasdaq roughly20 percent and TQQQ roughly60 percent over a few months; sub-strategies later reduced exposure as trend slowed. Returns and period are approximate, not a guaranteed triple multimonth relation.
      Refs
    Reconstruction limit
    The midday demonstration does not submit orders; its target weight is an output, not a fixed allocation rule.
Failure modes
  • Source reported failures or qualifications
    • Explanation
      He uses Polygon data, local cached history and later mentions an alternate source if the feed fails. The exact freshness test and fallback reconciliation are not specified; a cache alone is not current price data.
      Refs
    • Explanation
      He recounts two Fidelity order-rejection incidents resolved after five-to-ten minutes of retries just before close. Missing details include partial-fill reconciliation, duplicate prevention and behavior if time expires.
      Refs
    • Explanation
      Scheduler restarts the machine even after shutdown, which he praises as protection against interference. Analyst qualification: robust recovery should distinguish accidental outage from intentional emergency disable; no kill-switch behavior is described.
      Refs
    • Explanation
      Flat/range-bound markets produce weak performance and drawdowns; he cites2004-2005 and2014-2016 model periods. Knowing that failure mode helps expectation setting but does not define a future invalidation threshold.
      Refs
    • Explanation
      The model includes a1992 drawdown near50 percent lasting around1.5 years, while live accounts had repeated roughly30 percent drawdowns. He explicitly separates earlier model periods from lived experience.
      Refs
    Analyst inference
    Analyst inference: stale inputs, duplicate retries or inability to disable the system could compound model drawdowns; the disclosed architecture does not specify their full controls.
Missing rules
  • Seven complete rules
  • Signal combination and conflict resolution
  • Historical ETF construction
  • Intraday versus closing-bar test alignment
  • Order types and timeout recovery
  • Emergency stop and drift criteria
Proposed test
Analyst-proposed: reconstruct only after full rule disclosure; audit as-of data and synthetic history, freeze strategy portfolio and validate held-out net returns, drawdown duration and failure recovery.
Automation
Observable inputs
  • NDX OHLC
  • TQQQ/SQQQ price
  • Current holdings and account value
  • Market calendar
Deterministic parts
  • Calculate target weights once rules provided
  • Reconcile share deltas
  • Time-gated order routing
  • Alerts
Human judgment
  • Strategy research and approval
  • Operational incident response
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Stale/final-bar lookahead
  • Late rejected orders
  • Duplicate retries
  • Leveraged drawdown
  • Model-selection bias
Blockers
  • Seven complete rules
  • Signal combination and conflict resolution
  • Historical ETF construction
  • Intraday versus closing-bar test alignment
  • Order types and timeout recovery
  • Emergency stop and drift criteria

Illustrative moving-average trend and deceleration overlay

Mallik (TQQQTrader) | S37

Classification
Concept only: insufficient detail for replication
Source rules
Objective
Participate above broad trend and reduce as momentum slows.
Instruments
NDX signal, TQQQ/SQQQ expression.
Conditions
50/250-day averages mentioned with inconsistent200-day phrase.
Preparation
Model then backtest.
Entry
Above selected moving average; exact crossing/combination not stated.
Invalidation
Trend breaks or other strategies reduce; not fully stated.
Exits
Rate-of-change deceleration described, not quantified.
Sizing
Not stated for standalone illustration.
Exposure
Not stated.
Refs
Worked examples
  • Kind
    Illustrative moving-average and deceleration concepts
    Source account
    Reconstruction limit
    These are explanatory examples, not disclosure of the seven complete production strategies.
Failure modes
  • Source reported failures or qualifications
    Analyst inference
    Analyst inference: sideways prices can whipsaw trend rules, and an unspecified deceleration overlay can either exit too early or retain exposure too long.
Missing rules
  • Average definition and logical combination
  • ROC lookback/threshold
  • Standalone weights
  • Execution timing
Proposed test
Analyst-proposed: treat as an independent hypothesis, not a clone of reported portfolio; test all false crossings and costs.
Automation
Observable inputs
  • Prices
  • Moving averages
  • Rate of change
Deterministic parts
  • Feature computation
Human judgment
  • Model design
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Whipsaw
  • Delayed exit
  • Overfit
Blockers
  • Average definition and logical combination
  • ROC lookback/threshold
  • Standalone weights
  • Execution timing

Failed-short squeeze or multi-red-day bounce long

Strati (Stratataaa) | S38

Classification
researchable discretionary method
Source rules
Objective
Capture reversal when expected downside fails and shorts may cover.
Instruments
Listed momentum/penny stocks; exact universe not stated.
Conditions
Known short setup fails repeated lows or prior runner has several red days into support; thin volume may amplify covering.
Preparation
Watch short setups, support, expected time response and volume.
Entry
Long when volume appears near defined support/risk or failed lows show strength; exact trigger not stated.
Invalidation
Cut failed squeeze quickly; behavioral nonperformance can exit before stop; no fixed algorithm.
Exits
Sell into strength while allowing meaningful upside; fractions not stated.
Sizing
Worst-case sizing acknowledged as work in progress; no formula.
Exposure
Long-only current scope; daily/account caps not stated.
Refs
Worked examples
  • Kind
    Narrated support-bounce example and conditional failed-short behavior
    Source account
    • Explanation
      Repeated penny breaks of low-of-day that recover, or failure to fade by roughly10-10:30, suggest possible stubborn shorts. Exact number of tests, reclaim duration and clock gate are not fixed.
      Refs
    • Explanation
      The AR/ARB-captioned example had a major run then three red days into support. He viewed a fourth-day short as poor reward for late bears and sought a first-green-day bounce once volume appeared near a tight level. Entry/stop prices and exact ticker remain incomplete.
      Refs
    • Explanation
      If a first-green-day long fails to break highs repeatedly by midday, he may bail before the original stop. A working setup should create fresh highs; a short should create fresh lows. Four attempts is an example, not a validated universal cutoff.
      Refs
    Reconstruction limit
    The captioned ticker and some levels are unresolved. Repeated failures and time references are examples, not optimized fixed thresholds.
Failure modes
  • Source reported failures or qualifications
    • Explanation
      He loses when volume stays light and no covering materializes, leaving him with size in a fading or inactive stock. His rule is cut wrong attempts quickly and let successful ones run, but exact exit mechanics are absent.
      Refs
    • Explanation
      He reasoned that a good breakout should not come back, so he could overload. When it failed, size and slippage magnified losses. He now says he is learning to size for worst case, without providing an implemented formula.
      Refs
    • Explanation
      He argues thin volume may be worse for large incumbent shorts than for his smaller planned risk, but admits low volume produces his own slippage and failed trades. Assumed100K-share shorts are hypothetical, not observed inventory.
      Refs
    Analyst inference
    Analyst inference: an expected squeeze is not executable profit when light liquidity amplifies the entry size and exit slippage.
Missing rules
  • Quantified failed-break/reclaim trigger
  • Short-position proxy
  • Liquidity and size caps
  • Exact stop/order types
  • Partial exits
  • Session limits
Proposed test
Analyst-proposed: annotate contemporaneous failed lows, time, volume and levels without assuming actual short inventory; test every candidate including no-squeeze fades with realistic exit slippage.
Automation
Observable inputs
  • OHLCV
  • Intraday high/low attempts
  • Support
  • Contemporaneous watchlist
Deterministic parts
  • Record failures and elapsed time once defined
Human judgment
  • Expected behavior
  • Crowding inference
  • Support quality
  • Whether volume is enough
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • Thin exits
  • No squeeze
  • Oversizing
  • Dilution/news
  • Halts
Blockers
  • Quantified failed-break/reclaim trigger
  • Short-position proxy
  • Liquidity and size caps
  • Exact stop/order types
  • Partial exits
  • Session limits

Daily breakout after first green day

Strati (Stratataaa) | S38

Classification
researchable discretionary method
Source rules
Objective
Capture continuing momentum with defined nearby risk.
Instruments
Listed momentum stocks.
Conditions
First green day followed by daily breakout and returning high volume.
Preparation
Identify breakout and support.
Entry
Near close in example, roughly0.80.
Invalidation
Example0.73; general rule not stated.
Exits
Example1.00-1.10 with partial larger move missed; broader rule sell strength.
Sizing
Not stated.
Exposure
Overnight status not explicitly stated despite near-close entry.
Refs
Worked examples
  • Kind
    Narrated near-close breakout trade
    Source account
    • Explanation
      He also buys a simple daily breakout after first green day when substantial volume returns. He does not insist every trade must oppose shorts or be clever.
      Refs
    • Explanation
      He recalls buying around0.80 near close, risking0.73 and selling around1.00-1.10, describing3-4R. Caption later says67 cents risk, context likely six-seven cents; do not use67 as literal risk or infer exact fills.
      Refs
    • Explanation
      He warns against insisting a breakout will go when the expected overnight gap and volume do not arrive. Compare actual behavior with expected behavior instead of staying emotionally attached.
      Refs
    Reconstruction limit
    Decimal interpretation is explicitly qualified; exact fills and whether this specific position crossed overnight are not invented.
Failure modes
  • Source reported failures or qualifications
    • Explanation
      He reasoned that a good breakout should not come back, so he could overload. When it failed, size and slippage magnified losses. He now says he is learning to size for worst case, without providing an implemented formula.
      Refs
    • Explanation
      He recalls buying around0.80 near close, risking0.73 and selling around1.00-1.10, describing3-4R. Caption later says67 cents risk, context likely six-seven cents; do not use67 as literal risk or infer exact fills.
      Refs
    • Explanation
      He warns against insisting a breakout will go when the expected overnight gap and volume do not arrive. Compare actual behavior with expected behavior instead of staying emotionally attached.
      Refs
    Analyst inference
    Analyst inference: a breakout can fail or gap through the example risk level; size cannot be justified by assuming that a good breakout never returns.
Missing rules
  • Exact chart level definitions
  • Size formula
  • Overnight rule
  • Fill/slippage data
Proposed test
Analyst-proposed: test frozen breakout-volume criteria, support-based risk and next-session gaps, not inferred chart hindsight.
Automation
Observable inputs
  • Daily/intraday OHLCV
  • Volume return
  • Support
Deterministic parts
  • Level calculations once defined
Human judgment
  • Breakout quality
Data and timing
Use only contemporaneously available inputs; source does not disclose complete feed and execution timing.
Execution risks
  • False breakout
  • Gap risk
  • Poor fills
Blockers
  • Exact chart level definitions
  • Size formula
  • Overnight rule
  • Fill/slippage data

News momentum pullback and breakout

Trader YC (Chill Trading) | S39

Classification
researchable discretionary method
Source rules
Objective
Capture rapid continuation and possible short squeeze.
Instruments
Small-cap US stocks.
Conditions
News, high volume/volatility; stronger expectation in hot market after large runners.
Preparation
Daily support/resistance and one-minute/Level 2 view.
Entry
Wait pullback, start position, add when reversal and high break confirm.
Invalidation
Exit quickly when price fails expected direction; distance absent.
Exits
Sell into strength; adapt immediately to partial fills.
Sizing
Grows with account and regime; early leverage, later less need.
Exposure
not stated
Refs
Worked examples
  • PO caption 1.45 entry to 1.90 exit.
  • CWD 12.50 buy, attempted 15 sale, residual 14.70.
Failure modes
  • False reversal
  • Chasing
  • Canceled displayed bids
  • Partial fills
  • Regime shift
  • Leverage ruin
Missing rules
  • Scanner thresholds
  • Stops
  • Risk fraction
  • Add fractions
  • Fees
  • Order logic
Proposed test
Analyst-proposed: Replay all candidates with point-in-time news and full depth/tape where available; record partial fills and compare hot/cold periods.
Automation
Observable inputs
  • News timestamps, OHLCV, depth, tape, fills
Deterministic parts
  • Daily level display and predefined exits once specified
Human judgment
  • Reversal, squeeze participants and regime heat
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • Scanner thresholds
  • Stops
  • Risk fraction
  • Add fractions
  • Fees
  • Order logic

Intraday breakdown short

Trader YC (Chill Trading) | S39

Classification
researchable discretionary method
Source rules
Objective
Profit from failure and downside momentum.
Instruments
Small-cap short shares; EMC caption example.
Conditions
not stated
Preparation
not stated
Entry
Break of reference support, two in example.
Invalidation
Quick failure exit generally stated; precise rule absent.
Exits
Partial covers toward target; one example 1.83 en route to 1.70.
Sizing
Example 6,500 then 7,500, not a general formula.
Exposure
not stated
Refs
Worked examples
  • EMC caption short around two with 2,000 partial at 1.83; final result absent.
Failure modes
  • False breakdown
  • Borrow unavailable
  • Squeeze
  • Slow momentum
Missing rules
  • Ticker certainty
  • Borrow
  • Stop
  • Selection
  • Size
  • Final exit
Proposed test
Analyst-proposed: Clarify setup and reconstruct complete trade before extending tests; include borrow cost and unavailable shares.
Automation
Observable inputs
  • Quotes, support, tape, borrow
Deterministic parts
  • Reference break once defined
Human judgment
  • Failure quality and patience
Data and timing
Point-in-time prices, volume, catalyst timestamps and realistic executable quotes needed.
Execution risks
Costs, spread, slippage, order failures and unavailable liquidity need testing.
Blockers
  • Ticker certainty
  • Borrow
  • Stop
  • Selection
  • Size
  • Final exit

Learning and validation plan

Top

D. Proposed application: This sequence and its completion tests are analyst-designed exercises grounded in the linked source material.

1. Learn the accounting before choosing a setup

Purpose
Separate stock P&L, option premium, realized P&L, open mark-to-market loss, deposits, margin and account equity. Understand long/short payoff, option assignment and the difference between a price stop and an account risk fraction.
Exercise
Use Ravenloft, Siylenia and Jim to classify every headline amount and numerical rule by denominator and time window. Write not stated when the interview lacks it.
Completion test
Explain why a high closed win rate, a large dollar gain and a wide price stop cannot be directly compared.
Refs

2. Reconstruct one decision chain per strategy family

Purpose
Study context, trigger, invalidation, size and exit together.
Exercise
For a scalp, a discretionary exhaustion short, a systematic gapper and an option structure, annotate what was knowable before entry. Keep missing chart details and speaker uncertainty visible.
Completion test
Another reader can separate explicit source rules from your interpretation without asking you.
Refs

3. Begin with an auditable calendar-rule research exercise

Purpose
The red-Monday example is a manageable first investigation because daily inputs and its holding horizon are observable. This is an educational choice based on specification simplicity, not a recommendation to trade it.
Exercise
Transcribe the disclosed condition and stop, then document missing entry timing, direction confirmation, instrument specification and capital allocation. Ask for clarification if claiming faithful replication; otherwise name the completed version as an analyst-defined variant.
Completion test
No same-close look-ahead; no silently corrected ETF; no claim that reported screen returns are independently reproduced.
Refs

4. Contrast with a discretionary replay, not a fast live copy

Purpose
Use one contextual exhaustion or tape example to understand what the deterministic exercise omits. Choose the instrument and replay data only after confirming data quality and operational feasibility.
Exercise
Use Yanni exhaustion checklist and Alex confirmation/re-entry examples. Hide future bars. Mark candidate, rejection reason, hypothetical trigger, invalidation and information that would change your mind. Repeat annotation after a delay to measure judgment consistency.
Completion test
You can identify rejected lookalikes and losing eligible examples, not merely draw winning patterns.
Refs

5. Preregister the historical study

Purpose
Choose the hypothesis, universe, sample splits, cost model and rejection criteria before looking at the final evaluation set.
Exercise
Use point-in-time security membership and corporate actions. Retain delisted failures, unavailable borrow and halts. For options, use contemporaneous chains with bid/ask and expiry handling. For tape methods, daily bars cannot validate execution. Keep every tested variant in the research log.
Completion test
You can reproduce the test from raw input versions; no test-period threshold tuning or discarded losing candidates.
Refs

6. Define metrics and failure conditions before paper testing

Purpose
A pass/fail criterion must not be invented after favorable results. No numeric risk or capital threshold is assumed for the reader.
Exercise
Specify net expectancy, average win/loss, drawdown depth and duration, turnover, gross/net exposure, concurrent risk, slippage sensitivity, worst gaps, capacity, rule violations and performance by regime. Define what degree of missing data, implementation divergence, cost deterioration or concentration invalidates the study. Preselect a minimum evidence requirement justified by variability, not a convenient short streak.
Completion test
A loss, a rule failure and insufficient evidence have distinct labels.
Refs

7. Observe prospective paper decisions and reconcile fills

Purpose
Freeze a version, timestamp each signal before the outcome, and compare intended actions with realistic executable quotes.
Exercise
Track all eligible signals including skipped trades, unavailable borrow and rejected fills. Model adverse gaps and latency. Do not let simulated mid-price fills stand in for executable multi-leg quotes. Separate strategy P&L from any discretionary override.
Completion test
Prospective evidence survives the predefined cost and regime checks; otherwise revise the hypothesis under a new version without contaminating the old test.
Refs

8. Choose a research path based on information quality

Purpose
Compare completeness, data access, repeatable decision-making, cost tolerance and schedule fit. Do not rank traders by wealth or headline returns.
Exercise
Favor the calendar example for a compact specification exercise and exhaustion replay for contextual decision practice. Choose between further systematic or discretionary research only after observing rule consistency, data sufficiency and honest net results. Proprietary option models and latency-sensitive tape methods remain poor exact-copy candidates from these interviews alone.
Completion test
State what evidence could change your choice and which missing rules still block replication. This plan stops at research and paper validation.
Refs

Hard questions

Top

Would the win rate survive full mark-to-market accounting?

Why it matters
Assignment and deferred realization can make closed trades appear safer than the portfolio.
Evidence that would change the conclusion
A complete marked-to-market ledger showing all stock and option exposures, financing and realized/unrealized outcomes.
Refs

Is the claimed edge present after realistic costs and unfilled signals?

Why it matters
Some reported backtests exclude fees or execution frictions; small gross advantages may disappear.
Evidence that would change the conclusion
An untouched net-cost test and prospective quote/fill reconciliation with unavailable trades retained.
Refs

Would the same rules have been selected before the winning period?

Why it matters
Strategy mining and instrument substitution can quietly reuse the answer key.
Evidence that would change the conclusion
A timestamped research log with all rejected variants and a genuinely untouched holdout.
Refs

Are rare opportunities identified before they win?

Why it matters
Quality-based sizing can be hindsight labeling.
Evidence that would change the conclusion
A predefined checklist applied blind to both successful and failed opportunities.
Refs

What losses are absent from the displayed history?

Why it matters
Other accounts, old failures, reset capital or filtered asset classes can alter the interpretation.
Evidence that would change the conclusion
Reconciled account histories and cash flows across the full claimed interval.
Refs

Does the stop survive a gap, halt or lack of borrow?

Why it matters
A desired exit price is not guaranteed execution.
Evidence that would change the conclusion
Stress-tested exposure and feasible fill assumptions for adverse path and liquidity events.
Refs

Did the trader succeed because of the method or despite a bad decision?

Why it matters
Broker errors, favorable news and rising markets can rescue weak decisions.
Evidence that would change the conclusion
Repeated predefined decisions with a distribution of outcomes, including counterexamples.
Refs

Does more automation improve the whole process?

Why it matters
Execution adherence may improve while selection overfit and human overrides remain.
Evidence that would change the conclusion
A controlled comparison of frozen rules, governed overrides and operational failure records.
Refs

What would make the strongest lesson wrong?

Why it matters
A useful principle can fail in a different instrument, horizon or regime.
Evidence that would change the conclusion
For each lesson, specify the rival explanation and a prospective observation that favors it. Repeated speakers do not add independent confirmation.
Refs

Who failed with the same advice and is missing from the interviews?

Why it matters
Selection of profitable guests cannot estimate a beginner success probability.
Evidence that would change the conclusion
A defined starting cohort including non-survivors, costs, withdrawals and time invested.
Refs

Does an earnings strategy trade the buildup or the announcement itself?

Why it matters
An expiry after earnings can support a pre-event trade that still exits before the release. Other instruments are explicit exceptions.
Evidence that would change the conclusion
Timestamped entries and exits, exact report times, contracts and pre/post-event volatility behavior.
Refs

Is a recent return an economic gain in that period or a closed-position recognition?

Why it matters
Mallik explicitly says the short-window display includes closing positions held much longer.
Evidence that would change the conclusion
Daily marked-to-market equity and reconciled cash flows, with the actual strategy composition at each date.
Refs

Source-level insight library

Top

Change search and filters. Combine trader, topic, strategy, source and evidence type. The filter applies to the source-level library below. The deduplicated lessons above retain links to all their selected supporting records.

Headline profit is not a clean options return

S01 | Ravenloft | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

The title and description claim $2.7 million, while the host repeatedly says $2.5 million over two years. Neither supplies opening option capital, deposits, private-company proceeds, mark-to-market equity or a strategy attribution ledger. The guest describes building capital before options. These figures cannot establish that a small options account generated the headline.

ELI5: Separate money earned before a strategy from money earned by it.

S01-P0001 (L1) S01-P0012 (L14) S01-P0039 (L51) S01-P0040 (L51) S01-P0041 (L51) S01-P0042 (L51)

Numbers

  • Value
    $2.7 million
    Context
    description headline
    Ref
    S01-P0012 (L14)
    Source excerpt
    $2.7 million in verified profits over the past two years
  • Value
    $2.5 million
    Context
    host introduction
    Ref
    S01-P0039 (L51)
    Source excerpt
    2.5 million in verified profits in the last 2 years

Development / Sizing and exposure / Evidence and limitations

Early private investments are a portfolio of possible failures

S01 | Ravenloft | B: Reported experience

Attribution: highunverified self-report

He describes small, risky early-stage bets on needed trends, where a minority of successes can drive a portfolio. This precedes option trading. The narration mentions both an initial account amount and a larger aggregate commitment, so neither should be promoted as a precise total funding history.

ELI5: Several risky bets preceded the weekly options routine.

S01-P0040 (L51) S01-P0041 (L51) S01-P0042 (L51)

Numbers

  • Value
    $10,000
    Context
    stated pre-Kinfo account starting amount
    Ref
    S01-P0040 (L51)
    Source excerpt
    The accounts before Kinfo had $10,000.
  • Value
    October 2024
    Context
    start of options trading
    Ref
    S01-P0041 (L51)
    Source excerpt
    October 2024 was when I started option trading
  • Value
    $50,000
    Context
    described aggregate private investments, wording imperfect
    Ref
    S01-P0042 (L51)
    Source excerpt
    50,000 into four or five different private companies

Development / Sizing and exposure

Dissatisfaction with delegated management prompted self-direction

S01 | Ravenloft | B: Reported experience

Attribution: highunverified self-report

He says his wealth manager never beat the market over a decade, motivating him to try investing himself. The comparison has no benchmark, account history or risk adjustment in the interview.

ELI5: Disappointment started his learning, but does not prove the replacement is better.

S01-P0042 (L51)

Numbers

  • Value
    10 years
    Context
    guest claim about wealth manager
    Ref
    S01-P0042 (L51)
    Source excerpt
    never beat the market ever in 10 years

Development

Use and familiarity are his first stock filters

S01 | Ravenloft | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He buys businesses whose products he uses and likes, citing Robinhood and United, and considers other people using them an accessible sign of a moat. He explicitly distinguishes this from knowing a business internally. No valuation, balance-sheet or concentration filter is supplied.

ELI5: He starts with businesses he recognizes as a customer.

S01-P0043 (L51) S01-P0046 (L51) S01-P0047 (L51) S01-P0074 (L51)

Strategy and regime

A moat can disappear as technology changes

S01 | Ravenloft and Host | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Guest and host question static examples of supposedly durable businesses. The guest points to technology eroding SaaS advantages; the host contrasts an older book with subsequent share-price declines and mentions newspapers. These are opinions and illustrations, not a formal durability test.

ELI5: A strong business today can weaken later.

S01-P0044 (L51) S01-P0045 (L51) S01-P0046 (L51)

Strategy and regime

Reinvest premiums toward additional share lots

S01 | Ravenloft | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

The guest describes redeploying premium into the same company so share ownership can support additional contracts. This is a compounding mechanism in his narrative, not a guaranteed growth rate: the underlying asset can decline, and concentration can rise.

ELI5: Premiums can buy more shares, but those shares still fluctuate.

S01-P0047 (L51) S01-P0048 (L51) S01-P0049 (L51)

Numbers

  • Value
    100 to 150 to 200 shares
    Context
    illustrative lot accumulation
    Ref
    S01-P0048 (L51)
    Source excerpt
    100 shares
  • Value
    two contracts
    Context
    illustrative capacity at 200 shares
    Ref
    S01-P0049 (L51)
    Source excerpt
    200 which gets you the two contracts

Sizing and exposure

Current option duration and premium target

S01 | Ravenloft | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He says he now uses one-week options and seeks approximately 0.75% to 1% premium, avoiding more aggressive premiums. Later strike discussion mixes premium value and share value, leaving the precise percentage denominator and strike-selection algorithm unresolved. This is not a stated weekly portfolio return.

ELI5: He limits the premium he chases; the exact calculation needs clarification.

S01-P0049 (L51) S01-P0050 (L51) S01-P0068 (L51) S01-P0069 (L51)

Numbers

  • Value
    0.75 to 1%
    Context
    stated premium target
    Ref
    S01-P0049 (L51)
    Source excerpt
    .75 to 1% of premium income
  • Value
    one week
    Context
    current duration
    Ref
    S01-P0050 (L51)
    Source excerpt
    I only do one week options
  • Value
    1%
    Context
    stated upper premium limit
    Ref
    S01-P0069 (L51)
    Source excerpt
    Don't cross 1% is my opinion

Entries and execution / Losses and survival

Weekly preparation plus alerts, with discretionary early renewal

S01 | Ravenloft | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He reports setting trades Sunday night or Monday morning, then reacting to alerts and sometimes buying back profitable Friday options to sell the next week. The time claim excludes unspecified research and earlier learning. His example closes around 80% profit rather than insisting on expiry.

ELI5: He batches decisions, then checks exceptions.

S01-P0055 (L51)

Numbers

  • Value
    an hour
    Context
    weekly setup routine, not total lifetime work
    Ref
    S01-P0055 (L51)
    Source excerpt
    I spend an hour in the morning on Mondays or Sunday nights setting trades
  • Value
    80%
    Context
    example of early profit capture
    Ref
    S01-P0055 (L51)
    Source excerpt
    80% profit range

Exits and adjustments / Learning and review

Buy back profitable puts before initiating the next week

S01 | Ravenloft | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He describes closing on Friday at 70% to 80% gain, and suggests 50% for someone starting out. These are alternatives in conversation rather than one immutable exit rule. Transaction costs, replacement pricing and execution details are absent.

ELI5: Do not assume he always waits for the entire premium.

S01-P0066 (L51) S01-P0067 (L51)

Numbers

  • Value
    70 to 80%
    Context
    profit capture before selling next week
    Ref
    S01-P0067 (L51)
    Source excerpt
    70 to 80% gain
  • Value
    50%
    Context
    alternative mentioned for starting out
    Ref
    S01-P0067 (L51)
    Source excerpt
    50% gain, buy back that put

Exits and adjustments

Cash-secured put to assignment to covered call

S01 | Ravenloft | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He can begin with cash committed to a put rather than buying shares. If assigned he accepts shares in a company he wants, then sells covered calls, rather than buying back the losing put. He calls this a non-strict wheel. No fundamental invalidation or maximum holding time is given.

ELI5: A falling put can become a stock position instead of a closed loss.

S01-P0049 (L51) S01-P0066 (L51) S01-P0067 (L51) S01-P0069 (L51) S01-P0071 (L51) S01-P0072 (L51)

Exits and adjustments / Losses and survival

A high closed-trade win rate can coexist with underwater holdings

S01 | Ravenloft | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

The guest explicitly links few displayed losses to accepting assignment and retaining shares, and separately discusses realizing losses for tax purposes. Thus the interview itself explains why option win rate is insufficient evidence of portfolio safety. A complete equity curve must include open positions.

ELI5: Not closing a loss does not make its economic effect vanish.

S01-P0048 (L51) S01-P0053 (L51) S01-P0054 (L51) S01-P0058 (L51) S01-P0071 (L51) S01-P0072 (L51) S01-P0073 (L51)

Losses and survival / Evidence and limitations

Reported performance-window statistics lack the underlying ledger

S01 | Host, with Ravenloft explanation | B: Reported experience

Attribution: highunverified self-report

The host reads a profitable week and differing win percentages across time windows. December losses are attributed by the guest to underlying-asset tax-loss sales. Changing windows and realized timing prevent equating these snapshots with a stable strategy win probability.

ELI5: The displayed window and what counts as a loss matter.

S01-P0053 (L51) S01-P0054 (L51) S01-P0058 (L51)

Numbers

  • Value
    6.66k
    Context
    host reading of week
    Ref
    S01-P0053 (L51)
    Source excerpt
    you've made 6.66k so far
  • Value
    100%
    Context
    host reading of week win rate
    Ref
    S01-P0053 (L51)
    Source excerpt
    your win rate is 100%
  • Value
    96%
    Context
    host reading of month win rate
    Ref
    S01-P0054 (L51)
    Source excerpt
    you've won 96% of the time
  • Value
    84%
    Context
    host reading of three-month win rate
    Ref
    S01-P0054 (L51)
    Source excerpt
    3 months, 84%

Evidence and limitations

Margin statement contains a caption contradiction

S01 | Ravenloft | E: Unclear or conflicting

Attribution: mediumunclear or conflicting transcript

The paragraph says both "go and use margin" and "I never used margin". Context supports a no-margin intention, but the literal text conflicts. Do not turn the first fragment into advice to lever the wheel or pretend the audio has been verified.

ELI5: The transcript is internally inconsistent about leverage wording.

S01-P0057 (L51)

Sizing and exposure

Private opportunity access came through work and relationships

S01 | Ravenloft | B: Reported experience

Attribution: highunverified self-report

His nuclear investment followed energy exposure while developing telecom infrastructure and a friend inviting him into a startup at the founding stage. He credits familiarity, demand for energy, relationships and luck, not public-chart timing. The actual company, investment terms and exit path are not established.

ELI5: A private invitation is not a public-market setup anyone can copy.

S01-P0061 (L51) S01-P0062 (L51) S01-P0063 (L51) S01-P0064 (L51) S01-P0065 (L51)

Strategy and regime

Larger premium temptation changed behavior after assignment

S01 | Ravenloft | B: Reported experience

Attribution: highunverified self-report

After a period without assignment he tried taking 2% or 3% premium, was assigned, and returned to his earlier limits. His account illustrates confidence increasing willingness to chase premium; it does not show a controlled comparison of strike risks.

ELI5: A winning streak encouraged him to push the trade harder.

S01-P0075 (L51)

Numbers

  • Value
    2% 3%
    Context
    experiment with more premium before assignment
    Ref
    S01-P0075 (L51)
    Source excerpt
    2% 3% premium

Development / Losses and survival / Psychology and decisions

Silver example preserves the difference between strike and claimed cost

S01 | Ravenloft | B: Reported experience

Attribution: highunverified self-report

He says silver was around 73, that he was assigned at 95, and that his effective cost was around 30. The instrument, quantity, historical premiums, fees and cost-basis calculation are missing. This illustrates his accounting narrative, not a independently reconciled profitable trade.

ELI5: An assigned price and a claimed adjusted cost are different numbers.

S01-P0073 (L51)

Numbers

  • Value
    73
    Context
    conversational current silver value; instrument unstated
    Ref
    S01-P0073 (L51)
    Source excerpt
    What is it today? 73?
  • Value
    95
    Context
    reported assignment
    Ref
    S01-P0073 (L51)
    Source excerpt
    I got exercised at 95.
  • Value
    30
    Context
    approximate effective cost claim
    Ref
    S01-P0073 (L51)
    Source excerpt
    my effective cost of silver was like 30

Losses and survival / Concrete examples

Covered-call timing is discretionary and can be skipped

S01 | Ravenloft | A: Explicit statement

Attribution: mediumexplicit process or opinion, effectiveness not established

He acknowledges giving up upside. He may avoid writing a call when expecting a rebound, and prefers writing after a share-price rise for greater premium. Ford illustrates the timing decision, although captions are imperfect about whether a call was withheld. Apple and a purported 250 call also appear, but the transcript says "covered dollar".

ELI5: He does not mechanically sell a call on every stock every week.

S01-P0074 (L51) S01-P0076 (L51) S01-P0077 (L51)

Numbers

  • Value
    $250
    Context
    Apple call-related wording is corrupted, not a reliable complete trade
    Ref
    S01-P0076 (L51)
    Source excerpt
    $250 covered dollar

Exits and adjustments

Accept capped upside rather than treating missed gains as a loss

S01 | Ravenloft | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

The guest describes frustration if shares rise past a covered-call strike. He sees the forgone extra gain as a temperament issue and advises accepting the agreed profitable outcome. This does not eliminate underlying downside or justify every covered call.

ELI5: Capping the upside is part of the bargain.

S01-P0080 (L51) S01-P0081 (L51) S01-P0082 (L51)

Numbers

  • Value
    50 versus 40
    Context
    hypothetical stock price and call strike
    Ref
    S01-P0081 (L51)
    Source excerpt
    stock bumped to like 50 bucks and I had a covered call at 40
  • Value
    10
    Context
    hypothetical forgone gain
    Ref
    S01-P0081 (L51)
    Source excerpt
    I lost 10 bucks

Psychology and decisions

Small-account feasibility depends on affordable suitable lots

S01 | Ravenloft | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

The discussion notes the need to afford share lots, with low-priced biotech raised and immediately challenged because it may leave unwanted inventory. Snapchat is offered as a familiarity example, not a vetted recommendation. A swing-trading path to building capital is suggested without a defined setup.

ELI5: A cheap share lot is not automatically a good company to own.

S01-P0066 (L51) S01-P0070 (L51) S01-P0078 (L51) S01-P0079 (L51) S01-P0080 (L51)

Numbers

  • Value
    100 shares
    Context
    contract lot in discussion
    Ref
    S01-P0070 (L51)
    Source excerpt
    one contract, which is the equivalent of 100 shares
  • Value
    six bucks seven bucks
    Context
    historical Snapchat example
    Ref
    S01-P0078 (L51)
    Source excerpt
    Snapchat is a good one at six bucks seven bucks
  • Value
    5,000 bucks
    Context
    suggested capital pool through unspecified swing trades
    Ref
    S01-P0080 (L51)
    Source excerpt
    5,000 bucks

Strategy and regime / Sizing and exposure

Networking is useful but recommendation credibility must be tested

S01 | Ravenloft | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He plans to learn more through communities, research writers and direct meetings. He praises sources captioned as The Capital, Serendipity and M Finance, with uncertain spellings. When the host summarizes this as buying credible recommendations, he interrupts to question who is credible and warns that anyone, including himself, might be promoting holdings.

ELI5: Learn from people while checking why they want you to buy.

S01-P0051 (L51) S01-P0052 (L51) S01-P0060 (L51) S01-P0082 (L51) S01-P0083 (L51)

Learning and review

Low attachment to outcomes supports his patience

S01 | Ravenloft | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He connects wanting something too intensely with poor decisions, emphasizes not being greedy, and acknowledges that his financial position makes this easier to say. His immigrant and janitorial background is a personal story about discipline, not evidence that hardship creates trading edge.

ELI5: Desperation can change decisions; his current comfort also matters.

S01-P0084 (L51) S01-P0085 (L51) S01-P0086 (L51)

Development / Psychology and decisions

Financial milestones do not automatically remove insecurity

S01 | Ravenloft and Host | B: Reported experience

Attribution: highunverified self-report

Guest describes expecting a paid-off house to bring happiness and then needing a new goal. Host separately describes buying an apartment after good trading and advertising income, yet still feeling financially unsafe. Their narratives concern motivation and goalposts, not a position-sizing rule.

ELI5: More money did not end their need for security.

S01-P0087 (L51) S01-P0088 (L51) S01-P0089 (L51)

Psychology and decisions

Health and resilience are success measures beyond profit

S01 | Ravenloft | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Guest encourages learning from adversity and continuing through early setbacks, while also prioritizing health, fresh air and life outside trading. He explicitly says to persist with a strategy and patience, but supplies no objective line separating useful persistence from persisting in a broken method.

ELI5: Keep learning, but profit is not the only thing worth protecting.

S01-P0058 (L51) S01-P0090 (L51) S01-P0091 (L51) S01-P0092 (L51) S01-P0093 (L51)

Psychology and decisions / Learning and review / Lifestyle and constraints

Educator verification is a host requirement, not a method audit

S01 | Host | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

The host argues that mentors selling services should show verified performance. This is a transparency preference in a promotional channel setting. Even an account-level record would still require strategy allocation, open-risk and capital-flow analysis to evaluate a claimed method.

ELI5: A visible track record helps ask questions; it does not answer all of them.

S01-P0093 (L51) S01-P0094 (L51)

Learning and review / Evidence and limitations

Small capital did not mean one uninterrupted success

S02 | Alex Temiz | B: Reported experience

Attribution: highunverified self-report

He describes starting with a small account, losing in the first year, breaking even in the second, then earning modest daily amounts in the third. He later acknowledges many blown accounts funded from paychecks, so a single small starting balance omits prior capital losses and labor.

ELI5: Count the failed accounts as part of the learning cost.

S02-P0044 (L53) S02-P0045 (L53) S02-P0046 (L53) S02-P0047 (L53) S02-P0048 (L53) S02-P0084 (L53) S02-P0085 (L53)

Numbers

  • Value
    $500
    Context
    initial account described
    Ref
    S02-P0046 (L53)
    Source excerpt
    as little as $500
  • Value
    $100 to $200
    Context
    reported third-year daily earnings
    Ref
    S02-P0048 (L53)
    Source excerpt
    $100 to $200 a day
  • Value
    10 15 accounts
    Context
    approximate blowups before stopping count
    Ref
    S02-P0084 (L53)
    Source excerpt
    I stopped counting after like 10 15 accounts

Development / Sizing and exposure

Reversing losing long trades was not a strategy

S02 | Alex Temiz | B: Reported experience

Attribution: highunverified self-report

His first VGGL short made money and hooked him, but he says blindly replacing buy with short lacked process, routine and strategy. The positive first outcome did not validate the method.

ELI5: Doing the opposite can still be random.

S02-P0046 (L53) S02-P0047 (L53) S02-P0048 (L53)

Numbers

  • Value
    2,000 shares at $4
    Context
    first VGGL short
    Ref
    S02-P0047 (L53)
    Source excerpt
    I shorted 2,000 shares at $4 a share
  • Value
    $1,000
    Context
    reported first short profit
    Ref
    S02-P0047 (L53)
    Source excerpt
    I made $1,000

Learning and review

Capital and borrow access shaped the broker path

S02 | Alex Temiz | B: Reported experience

Attribution: highunverified self-report

He says selling car rims funded a final offshore account, which grew enough to move directly to Cobra rather than the planned intermediate broker. Better borrow availability was a reason to graduate brokers. This is historical experience, not guidance to bypass current rules.

ELI5: Where he could borrow stocks affected what he could trade.

S02-P0085 (L53) S02-P0086 (L53) S02-P0087 (L53)

Numbers

  • Value
    $2,000
    Context
    rims sale and offshore funding
    Ref
    S02-P0085 (L53)
    Source excerpt
    sold the rims off my car for $2,000
  • Value
    $25,000
    Context
    reported account growth
    Ref
    S02-P0086 (L53)
    Source excerpt
    $2,000 I was able to grow to 25,000
  • Value
    $10,000
    Context
    original planned transfer threshold
    Ref
    S02-P0086 (L53)
    Source excerpt
    like 10,000 to then put it into Interactive Brokers

Development / Entries and execution / Sizing and exposure

One trading hour excludes preparation and career development

S02 | Alex Temiz | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He restricts current execution mainly to the market opening hour because he finds more price discovery and tradable range, then leaves as volume shrinks and chop increases. Yet he wakes early, reviews news and filings, and has years of training. The headline is an execution-window claim, not total work time.

ELI5: One hour placing trades can require hours of preparation.

S02-P0050 (L53) S02-P0051 (L53) S02-P0052 (L53) S02-P0053 (L53) S02-P0061 (L53) S02-P0117 (L53) S02-P0118 (L53)

Numbers

  • Value
    9:30 to 10:30
    Context
    stated trading window
    Ref
    S02-P0051 (L53)
    Source excerpt
    trade from 9:30 to 10:30 in the morning
  • Value
    6:00 a.m.
    Context
    stated wake time
    Ref
    S02-P0117 (L53)
    Source excerpt
    I wake up early, 6:00 a.m.

Learning and review

Research starts with why the stock is moving

S02 | Alex Temiz | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He checks top percentage gainers, news, filings and daily charts rather than shorting a large percentage rise alone. A phase-three pharmaceutical catalyst or major partnership makes him more cautious, while a weak letter of intent may not justify the same enthusiasm. The categories require interpretation and do not determine a guaranteed direction.

ELI5: Know the reason for the move before betting against it.

S02-P0055 (L53) S02-P0056 (L53) S02-P0057 (L53) S02-P0058 (L53) S02-P0059 (L53) S02-P0117 (L53) S02-P0118 (L53)

Strategy and regime

Past failed spikes and dilution inform the short thesis

S02 | Alex Temiz | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He looks for daily charts whose volume-driven moves repeatedly wick up then fade, and checks dilution as a potential supply increase. He contrasts these with multi-day runners. Historical repetition is his hypothesis; no quantified frequency or point-in-time dilution test is provided.

ELI5: He wants evidence that prior excitement has not lasted.

S02-P0057 (L53) S02-P0058 (L53) S02-P0118 (L53) S02-P0119 (L53)

Strategy and regime

A broken trend matters more than an extreme percentage gain

S02 | Alex Temiz | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He waits for an initial premarket push to fail rather than fading an intact rising trend merely because it looks overextended. At the open, completed premarket action provides more evidence than entering while that pattern is still forming.

ELI5: Wait for failure; high prices alone are not failure.

S02-P0119 (L53) S02-P0120 (L53) S02-P0127 (L53) S02-P0128 (L53)

Entries and execution

Removed most premarket shorts as conditions changed

S02 | Alex Temiz | B: Reported experience

Attribution: highunverified self-report

He formerly scalped premarket but now sees larger aggressive moves, thinner liquidity and limitations on stop orders. He largely moved to the opening hour. His positive view of premarket longs is separate and does not remove the execution risks he identifies. Broker order restrictions are historical statements needing verification.

ELI5: He changed the session he traded when its risks changed.

S02-P0050 (L53) S02-P0051 (L53) S02-P0127 (L53) S02-P0128 (L53) S02-P0129 (L53)

Entries and execution

IPDN combines premarket resistance with later confirmation

S02 | Alex Temiz | B: Reported experience

Attribution: highunverified self-report

He describes short starters in captioned "460s and 470s", an add near premarket whole-dollar resistance, then a high-volume death candle signaling trend change, further adding and covering down. The likely decimal reading is not silently substituted. His claim of adding on confirmation coexists with an earlier resistance add.

ELI5: The example has stages, not one automatic short signal.

S02-P0120 (L53) S02-P0121 (L53) S02-P0122 (L53)

Numbers

  • Value
    460s and 470s
    Context
    starter price wording; likely decimal shorthand, uncertain
    Ref
    S02-P0120 (L53)
    Source excerpt
    starter in the 460s and 470s
  • Value
    $5
    Context
    premarket resistance add
    Ref
    S02-P0121 (L53)
    Source excerpt
    resistance line around the $5 mark
  • Value
    $18,000
    Context
    reported IPDN result
    Ref
    S02-P0122 (L53)
    Source excerpt
    this was a $18,000 trade

Entries and execution / Concrete examples

Whole and half dollars are contextual levels

S02 | Alex Temiz | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He treats round prices as potential automatic support/resistance but in the example also links the round price to actual premarket resistance. No evidence establishes that every round price is a tradable short.

ELI5: A round number mattered alongside the chart context.

S02-P0121 (L53)

Entries and execution

Adds should follow evidence rather than only adverse price movement

S02 | Alex Temiz | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He says he currently does not want to add unless the stock confirms, and later adds to winning shorts after a large down candle on elevated volume. The exact candle definition, timeframe, maximum adds and total risk are not stated.

ELI5: Build the trade when the thesis gains evidence.

S02-P0121 (L53) S02-P0126 (L53)

Strategy and regime

Stop and re-enter when new evidence appears

S02 | Alex Temiz | B: Reported experience

Attribution: highunverified self-report

In an unnamed example, an initial short failed and he stopped out, then re-entered after an elevated-volume down candle and covered dips. He used less size because the oscillating range made him uncomfortable. No initial dollar risk or full fill log accompanies the profit.

ELI5: Taking a loss did not prevent a later valid entry.

S02-P0123 (L53) S02-P0124 (L53)

Numbers

  • Value
    850
    Context
    resistance wording; likely decimal shorthand, uncertain
    Ref
    S02-P0123 (L53)
    Source excerpt
    resistance area around 850
  • Value
    $1,500
    Context
    reported day result
    Ref
    S02-P0123 (L53)
    Source excerpt
    this one was a $1,500 day

Entries and execution / Exits and adjustments / Sizing and exposure

SPRC required accepting two failures before a later trend change

S02 | Alex Temiz | B: Reported experience

Attribution: highunverified self-report

He shorted a bounce after premarket weakness, added near an apparent VWAP failure, exited when it held, tried again and stopped again. He later re-entered after a large down candle, lower high and another down candle through VWAP, then added to the winner. Without attempt limits this is an illustrative sequence, not permission to retry indefinitely.

ELI5: Two failed attempts were closed before the eventual winning sequence.

S02-P0125 (L53) S02-P0126 (L53) S02-P0127 (L53) S02-P0136 (L53)

Exceptions

  • Closing SPRC amount differs from main example; could be speech/caption mix-up or different trade, unresolved.

Numbers

  • Value
    twice
    Context
    stopped-out attempts
    Ref
    S02-P0126 (L53)
    Source excerpt
    twice I took a loss on this stock
  • Value
    $20,000
    Context
    SPRC described result in main example
    Ref
    S02-P0127 (L53)
    Source excerpt
    a $20,000 winning day
  • Value
    18,000
    Context
    closing mention conflicts with main SPRC result
    Ref
    S02-P0136 (L53)
    Source excerpt
    SPRC trade where I made 18,000

Entries and execution / Concrete examples

External risk oversight can both reduce and selectively increase risk

S02 | Alex Temiz | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

At SMB a risk manager checked deteriorating trades and could approve larger risk for a repeatedly profitable setup. He contrasts this with retail traders assuming identical size on every trade. The increase is an illustrative permission process, not a recommended fixed multiplier.

ELI5: More risk requires a reason and oversight, not just confidence.

S02-P0073 (L53) S02-P0074 (L53) S02-P0075 (L53)

Numbers

  • Value
    $10,000 to $50,000
    Context
    hypothetical request to risk manager
    Ref
    S02-P0074 (L53)
    Source excerpt
    instead of risking $10,000 on this trade, I want to risk $50,000

Sizing and exposure / Losses and survival

Broker liquidation is his substitute for a desk risk manager

S02 | Alex Temiz | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He admits going on tilt and advocates a broker-enforced daily max loss tied to no more than two usual earning days. His hypothetical uses small daily earnings and a proportionate stop rather than a much larger drawdown. Future recovery is not guaranteed, and slippage can defeat an exact cap; estimation period, negative expectancy and broker mechanics are unspecified.

ELI5: Put a brake outside your emotional control.

S02-P0131 (L53) S02-P0132 (L53)

Numbers

  • Value
    two days
    Context
    stated max-loss guideline
    Ref
    S02-P0131 (L53)
    Source excerpt
    no more than two days worth of your trading
  • Value
    $100 / $200
    Context
    hypothetical daily earnings and liquidation level
    Ref
    S02-P0131 (L53)
    Source excerpt
    make a $100 a day, you should set your max loss autolidation to $200
  • Value
    five grand
    Context
    counterexample excessive limit
    Ref
    S02-P0132 (L53)
    Source excerpt
    max loss auto liquidation to five grand

Losses and survival

Immediate invalidation exits impressed him more than conviction

S02 | Alex Temiz reporting Shark | B: Reported experience

Attribution: highunverified self-report

His account of Shark emphasizes using a market order immediately when wrong, then returning only when confirmed. This is Alex reporting another trader, not direct testimony from Shark, and the invalidation criterion is not supplied.

ELI5: Exit first when wrong; reassess later.

S02-P0077 (L53)

Development / Exits and adjustments

Professional access included coaching and peer observation

S02 | Alex Temiz | B: Reported experience

Attribution: highunverified self-report

He describes roughly a year at SMB, observing Shark, using an on-retainer psychology coach and taking unused sessions from others. Captioned coach names vary, so the precise name is uncertain. He distinguishes actual firm-capital trading from simulated funded-account offerings, expressed as his opinion about industry structure.

ELI5: A desk supplied feedback and accountability that solo trading lacked.

S02-P0067 (L53) S02-P0068 (L53) S02-P0071 (L53) S02-P0072 (L53) S02-P0073 (L53) S02-P0075 (L53)

Numbers

  • Value
    about a year
    Context
    SMB tenure
    Ref
    S02-P0067 (L53)
    Source excerpt
    I was at SMB trader for about a year
  • Value
    twice a week
    Context
    reported coach access
    Ref
    S02-P0071 (L53)
    Source excerpt
    see him twice a week
  • Value
    30 minutes to an hour
    Context
    session length
    Ref
    S02-P0072 (L53)
    Source excerpt
    30 minutes to an hour

Development / Learning and review / Testing and automation

Career choice favored teaching over full-time desk focus

S02 | Alex Temiz | B: Reported experience

Attribution: highunverified self-report

He corrects the host: MIC already existed while he was at SMB. He says the firm required choosing full-time desk work or the educational business; he preferred mentoring. This preserves chronology and identifies an education-business incentive in the interview.

ELI5: He did not start teaching only after leaving the desk.

S02-P0068 (L53) S02-P0069 (L53) S02-P0070 (L53)

Development

Deliberate review has a lifestyle opportunity cost

S02 | Alex Temiz | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He praises Shark for daily report cards, early arrival and late departure, while admitting he sometimes chooses leisure over weekend review. He frames ambition as a sacrifice choice rather than claiming his routine maximizes every possible dollar. His earnings aspirations are not evidence that extra hours cause higher profit.

ELI5: He accepts doing less review to have more life outside trading.

S02-P0077 (L53) S02-P0078 (L53) S02-P0079 (L53)

Learning and review

Prepare professionally instead of arriving just before the open

S02 | Alex Temiz | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He contrasts an unprepared trader with his repeated news, filing and chart review. The host suggests repeatedly replaying a narrow session to reduce learning breadth. Alex associates early preparation with seriousness, but the failed peer anecdote does not establish a universal cause of failure.

ELI5: Preparation is part of the method, even when execution looks simple.

S02-P0053 (L53) S02-P0054 (L53) S02-P0060 (L53) S02-P0061 (L53) S02-P0062 (L53) S02-P0063 (L53) S02-P0064 (L53)

Learning and review

Community and continuing education are inputs, not proofs

S02 | Alex Temiz | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He attributes development to sustained study, trading peers, and continuing to buy a course and watch videos from someone called Lance. He says different people may suit long, short, options or large-cap styles. No exact curriculum, review metrics or course efficacy evidence is provided.

ELI5: Learning continues after profitability, but fit still differs.

S02-P0065 (L53) S02-P0066 (L53) S02-P0080 (L53) S02-P0081 (L53) S02-P0082 (L53) S02-P0083 (L53) S02-P0089 (L53) S02-P0090 (L53) S02-P0091 (L53) S02-P0134 (L53)

Learning and review

Claims about failure rates lack a denominator

S02 | Alex Temiz | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

The host raises tiny long-term success proportions and a high failure rate while discussing MIC. The guest gives a seriousness-and-sacrifice answer rather than supplying cohort outcomes. The figures are conversational assumptions, not measured education success rates.

ELI5: No student audit is supplied.

S02-P0062 (L53) S02-P0063 (L53) S02-P0064 (L53)

Numbers

  • Value
    97%
    Context
    host conversational failure-rate claim
    Ref
    S02-P0063 (L53)
    Source excerpt
    is there a reason 97% fail?

Strategy and regime / Evidence and limitations

PDT and participation outlook is a historical forecast

S02 | Alex Temiz | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

They discuss a possible rule change and Alex predicts more retail activity, liquidity, volatility and fee income, drawing a casino analogy. He expects experienced traders to benefit from inexperienced arrivals. No cold-market risk adjustment is actually supplied when the host asks. This is opinion, not verified regulatory status or causal evidence.

ELI5: He expected more players to create opportunities, but it was a forecast.

S02-P0092 (L53) S02-P0093 (L53) S02-P0094 (L53) S02-P0095 (L53) S02-P0096 (L53) S02-P0097 (L53) S02-P0098 (L53)

Numbers

  • Value
    two, three, maybe even five years
    Context
    speculative duration of favorable activity
    Ref
    S02-P0097 (L53)
    Source excerpt
    two, three, maybe even five years of just unbelievable trading action

Strategy and regime

AI is used outside his trading, not as the strategy engine

S02 | Alex Temiz | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He uses ChatGPT for daily-life questions but says he has not found a reason to incorporate it into trading because he already reads news, filings and charts. He remains open to learning other uses. A metadata automated-trading hashtag does not change this explicit statement.

ELI5: This is a discretionary trader discussing AI, not an AI strategy.

S02-P0098 (L53) S02-P0099 (L53)

Testing and automation

Verification required recovering historical account access

S02 | Alex Temiz | B: Reported experience

Attribution: highunverified self-report

He says he long posted broker statements and live trading, then recovered old logins to connect accounts to Kinfo after criticism. Some brokers had disappeared. The claimed total and mechanism are not independently audited within these transcripts, and no full account reconciliation is shown.

ELI5: The interview describes verification, but is not itself the account ledger.

S02-P0100 (L53) S02-P0101 (L53) S02-P0102 (L53) S02-P0103 (L53) S02-P0106 (L53) S02-P0107 (L53)

Numbers

  • Value
    $16 million
    Context
    spoken cumulative performance claim
    Ref
    S02-P0091 (L53)
    Source excerpt
    $16 million in profits

Evidence and limitations

Trading success and teaching quality are different properties

S02 | Alex Temiz | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He supports verification for paid educators but explicitly says some larger earners teach poorly and some smaller earners teach well. The useful selection question is whether explanations are complete and usable, beyond wealth or status.

ELI5: A good trader is not automatically a good teacher.

S02-P0104 (L53) S02-P0105 (L53) S02-P0106 (L53)

Learning and review / Evidence and limitations

Promoter judgments are opinions, not verified accusations

S02 | Alex Temiz | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He dismisses critics and broadly alleges some forex/futures personalities earn from broker or simulated-account deals, while viewing Tim Sykes marketing and charity more favorably after personal contact. The host adds a firsthand charity-trip anecdote. These statements reveal the speakers incentives and standards, not proof of illegality or trading skill for named or unnamed people.

ELI5: Inspect incentives without treating interview accusations as established facts.

S02-P0110 (L53) S02-P0111 (L53) S02-P0112 (L53) S02-P0113 (L53) S02-P0114 (L53) S02-P0115 (L53) S02-P0116 (L53)

Learning and review

Humility is linked to market feedback, but emotions still require controls

S02 | Alex Temiz | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He says successful traders are humbled by losses and warns against ego, yet explicitly admits tilt still occurs. Thus his actionable discipline is an external limit, not a claim that experience eliminates emotion. Personality generalizations about every successful trader are unsupported.

ELI5: Being experienced does not remove the need for brakes.

S02-P0129 (L53) S02-P0130 (L53) S02-P0131 (L53) S02-P0132 (L53)

Psychology and decisions

Paper consistency precedes live capital in his beginner advice

S02 | Alex Temiz | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He advises education and paper trading until some consistency, while also suggesting premarket longs to build an account before shorting. This creates a scope distinction: paper-first is explicit, but the long strategy has no entries, sizing or stops. His personal origin involved live losses, unlike his later beginner advice.

ELI5: His advice today is safer than the path he says he took.

S02-P0133 (L53) S02-P0134 (L53) S02-P0135 (L53)

Learning and review / Testing and automation

Live recordings can support process review but selected examples are not a distribution

S02 | Alex Temiz | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He says he posts trading recordings weekly, including a cited example. The supplied transcript only narrates chosen charts and does not include complete fills or losing-day samples. A recording can show actions while still leaving expectancy and representativeness unanswered.

ELI5: Seeing a trade happen is useful; it is not the full history.

S02-P0136 (L53) S02-P0117 (L53) S02-P0123 (L53) S02-P0125 (L53) S02-P0126 (L53)

Learning and review / Evidence and limitations

Persistence followed an initial get-rich-quick failure

S03 | Marcelo / MightyStocks | B: Reported experience

Attribution: highunverified self-report

He describes immigration, finance education, early ETF/swing learning, attraction to online trading income claims and a blown offshore small-cap account. He says he turned the corner after years of struggle. His later statement that he always prioritized process must be read alongside his explicit early belief he could rapidly become rich.

ELI5: His disciplined approach came after an undisciplined attempt.

S03-P0045 (L54) S03-P0046 (L54) S03-P0047 (L54) S03-P0048 (L54) S03-P0049 (L54) S03-P0050 (L54) S03-P0051 (L54) S03-P0052 (L54) S03-P0053 (L54)

Numbers

  • Value
    $3,000
    Context
    early savings account lost
    Ref
    S03-P0051 (L54)
    Source excerpt
    all the savings I had, which was $3,000
  • Value
    2 years
    Context
    reported simulator practice after failure
    Ref
    S03-P0052 (L54)
    Source excerpt
    simulator for literally like 2 years

Development / Psychology and decisions

Course structure supplied basics, not a transferable personal edge

S03 | Marcelo / MightyStocks | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He found structured instruction useful for small-cap fundamentals, Level 2 and finding stocks, but copying the mentor speed, breaking-news approach and premarket style did not work for him. Breakeven was itself a milestone before he adapted exits to his own observations.

ELI5: Learn the alphabet from a teacher, then test your own sentences.

S03-P0049 (L54) S03-P0050 (L54) S03-P0066 (L54) S03-P0067 (L54) S03-P0068 (L54)

Learning and review

Transaction costs determined whether hyperscalping was viable

S03 | Marcelo / MightyStocks | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

His simulator method involved very frequent small gains and share recycling, so offshore commissions could consume the entire edge. He sought a commission-free account rather than treating a gross profitable simulation as a net profitable method. Free commission does not demonstrate free execution or realistic simulator fills.

ELI5: Tiny gains disappear if each trade costs too much.

S03-P0054 (L54) S03-P0055 (L54) S03-P0071 (L54) S03-P0072 (L54)

Testing and automation

Savings and a family loan funded the live account

S03 | Marcelo / MightyStocks | B: Reported experience

Attribution: highunverified self-report

He reports saving while painting houses and studying, then borrowing from a cousin with a repayment obligation. He intended losses to come from his own capital. The stated savings and loan sum do not equal the later stated account balance, and keeping mental subaccounts does not eliminate the repayment risk.

ELI5: The account included borrowed money and an unresolved funding gap.

S03-P0055 (L54) S03-P0056 (L54) S03-P0057 (L54) S03-P0058 (L54)

Numbers

  • Value
    $9,000
    Context
    reported personal savings
    Ref
    S03-P0056 (L54)
    Source excerpt
    I actually only saved $9,000
  • Value
    $15,000
    Context
    reported family loan
    Ref
    S03-P0057 (L54)
    Source excerpt
    he loaned me $15,000
  • Value
    $25,000
    Context
    reported live-account amount
    Ref
    S03-P0058 (L54)
    Source excerpt
    live markets with a $25,000 account

Development / Sizing and exposure

Tiny real trades tested consistency and real emotions

S03 | Marcelo / MightyStocks | B: Reported experience

Attribution: highunverified self-report

After profitable simulator months he traded very small live share size for several months, accepting dollar-scale monthly outcomes. He says even losing a dollar elicited genuine emotion. This bridges simulator learning and execution experience, but does not prove fills or emotions scale linearly.

ELI5: Test real decisions cheaply before increasing the stakes.

S03-P0056 (L54) S03-P0059 (L54) S03-P0060 (L54) S03-P0061 (L54) S03-P0062 (L54) S03-P0088 (L54) S03-P0089 (L54)

Numbers

  • Value
    six months
    Context
    claimed consecutive simulator profitability
    Ref
    S03-P0056 (L54)
    Source excerpt
    six months in a row of profitability in the simulator
  • Value
    three or four months
    Context
    initial one-share live phase
    Ref
    S03-P0059 (L54)
    Source excerpt
    three or four more months
  • Value
    $9, $13, $33
    Context
    reported tiny profitable months
    Ref
    S03-P0062 (L54)
    Source excerpt
    months of up nine bucks, then up $13 the next month, and up and then up 33 bucks

Sizing and exposure / Learning and review

His abrupt size jump included a retreat plan, not a gradual scaling proof

S03 | Marcelo / MightyStocks | B: Reported experience

Attribution: highunverified self-report

He says he jumped from one share to a thousand with a plan to return to one if the initial weeks failed. He acknowledges prior large-size experience came from the blown account. The early profit conversion in his telling is arithmetically inconsistent with the share multiplier, so it cannot serve as a sizing formula.

ELI5: He took a large leap and planned to retreat if it failed.

S03-P0062 (L54) S03-P0063 (L54) S03-P0064 (L54) S03-P0065 (L54)

Numbers

  • Value
    one to 1,000 shares
    Context
    caption renders thousand imperfectly
    Ref
    S03-P0062 (L54)
    Source excerpt
    from one share to a,000 shares
  • Value
    two weeks
    Context
    planned evaluation before retreat
    Ref
    S03-P0063 (L54)
    Source excerpt
    if it didn't work for the first two weeks
  • Value
    $147
    Context
    reported first larger-size day
    Ref
    S03-P0064 (L54)
    Source excerpt
    my first day made like $147
  • Value
    $41,000
    Context
    reported biggest green day
    Ref
    S03-P0065 (L54)
    Source excerpt
    my biggest green day is $41,000

Development / Sizing and exposure

Metrics showed the holding rule was destroying his entry advantage

S03 | Marcelo / MightyStocks | B: Reported experience

Attribution: highunverified self-report

He says many trades initially went green by a few cents before turning red while he waited for larger chart-pattern targets. He changed to taking quick gains and testing that in the simulator. His extreme frequency claims are self-reports, not an audited distribution. The important diagnosis distinguishes entry quality from holding-period quality.

ELI5: His entries briefly worked; waiting was undoing them.

S03-P0069 (L54) S03-P0070 (L54) S03-P0071 (L54) S03-P0072 (L54)

Numbers

  • Value
    90%
    Context
    reported initial positive trades
    Ref
    S03-P0069 (L54)
    Source excerpt
    90% of the time after pressing the buy button
  • Value
    three to four cents
    Context
    initial favorable move
    Ref
    S03-P0071 (L54)
    Source excerpt
    three to four cents every time I bought
  • Value
    four cents, five cents
    Context
    micro-profit aim
    Ref
    S03-P0071 (L54)
    Source excerpt
    capture four cents, five cents each time

Strategy and regime / Exits and adjustments / Learning and review

Enter the turn and bail if it does not immediately continue

S03 | Marcelo / MightyStocks | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He seeks the micro transition from pullback to bounce or consolidation to breakout, often buying with green tape, rather than accumulating before the turn. Invalidation is failure of immediate continuation, not a distant chart stop. Precision creates frequent scratches or small losses; an occasional fast winner must compensate. Exact latency and loss bounds are not defined.

ELI5: He trades the instant of acceleration, not a prediction held patiently.

S03-P0073 (L54) S03-P0074 (L54) S03-P0075 (L54)

Entries and execution / Testing and automation

Slow charts are context; Level 2 is his timing tool

S03 | Marcelo / MightyStocks | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He emphasizes watching market depth and tape, with very fast charts mentioned as another way peers visualize changes. A caption says he cannot trade without the chart even as the surrounding explanation emphasizes tape; do not silently invert the wording. Later he explicitly requires chart context, so this is not chart-free trading.

ELI5: The chart frames the situation; the tape helps time it.

S03-P0076 (L54) S03-P0077 (L54) S03-P0082 (L54) S03-P0083 (L54)

Numbers

  • Value
    95%
    Context
    claimed attention to Level 2
    Ref
    S03-P0076 (L54)
    Source excerpt
    95% of of of the time trading is just staring at the level two
  • Value
    1second chart
    Context
    peer tool mentioned
    Ref
    S03-P0076 (L54)
    Source excerpt
    a 1second chart becomes what the level two is telling you

Entries and execution / Testing and automation

Screen recordings make tape learning reviewable

S03 | Marcelo / MightyStocks | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He urges recording every day to examine prints, bid/ask sizes, stacked or thinning depth and how price actually responds. He describes learning this from zero and now teaching his brother. Time spent is a personal learning account, not a guarantee that observation produces an edge.

ELI5: Replay the moving order book instead of trusting memory.

S03-P0078 (L54) S03-P0079 (L54) S03-P0080 (L54) S03-P0081 (L54) S03-P0105 (L54)

Learning and review

Order-book signals require an attention context

S03 | Marcelo / MightyStocks | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He calls most Level 2 activity noise. He focuses when news, relative volume, leading-gapper status and a nearby chart turning point mean many participants are watching the same event. Identical tape patterns on obscure inactive stocks are not treated as equivalent. No minimum relative volume threshold is supplied.

ELI5: A signal matters more when other traders are reacting to it too.

S03-P0082 (L54) S03-P0083 (L54) S03-P0110 (L54) S03-P0111 (L54) S03-P0112 (L54)

Numbers

  • Value
    90%
    Context
    opinion on how often Level 2 is noise
    Ref
    S03-P0082 (L54)
    Source excerpt
    Level two is noise 90% of the time
  • Value
    top three
    Context
    preferred leading-gapper group
    Ref
    S03-P0110 (L54)
    Source excerpt
    the top three leading gappers

Strategy and regime / Entries and execution

Textbook tape interpretations can reverse under participant expectations

S03 | Marcelo / MightyStocks | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He explains the usual reading of green prints, red prints and large bids/asks, then describes a strategic game where participants anticipate and counter those readings. He sometimes trades opposite the simple signal. This is inherently discretionary and prevents reducing his edge to green-equals-buy.

ELI5: People can react to a signal in ways that defeat its simple meaning.

S03-P0084 (L54) S03-P0085 (L54) S03-P0086 (L54)

Entries and execution / Testing and automation

News is a halt-risk filter more than a strict catalyst ranking

S03 | Marcelo / MightyStocks | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He requires a headline because unexplained moves can face prolonged information-related halts and severe reopening losses. The halt codes he gives should be retained as historical captioned wording, not verified exchange definitions. He usually accepts any headline but says genuinely significant partnerships or vaccine developments may warrant more risk. His statement that all news is fake is contradicted by these exceptions and should not be generalized.

ELI5: A headline helps explain a move; it does not guarantee safety.

S03-P0107 (L54) S03-P0108 (L54) S03-P0109 (L54) S03-P0110 (L54)

Exceptions

  • Guest distinguishes meaningful developments from fluff despite a broad dismissive remark.

Strategy and regime / Losses and survival

Scanner parameters from the host are not all confirmed guest rules

S03 | Host and Marcelo | E: Unclear or conflicting

Attribution: mediumunclear or conflicting transcript

The host mentions a percentage and premarket-volume setting while summarizing the screen. The guest confirms a normal gap scanner with volume, gain and breaking-news filters, but does not explicitly adopt each quoted numerical setting.

ELI5: Do not turn an interviewer guess into a hard scanner threshold.

S03-P0106 (L54) S03-P0107 (L54)

Numbers

  • Value
    30% / 100,000
    Context
    host screen summary, not a confirmed guest filter
    Ref
    S03-P0107 (L54)
    Source excerpt
    30% off, 100,000 pre-market volume

Strategy and regime

Halt-resumption long is a trapped-short hypothesis

S03 | Marcelo / MightyStocks | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He looks for a stock expected to fade that instead holds, consolidates, breaks upward and halts on high volume. He infers shorts accumulated during the failed fade and will need to buy to cover on resumption, offering a brief scalp. Actual short positioning is not measured in the interview.

ELI5: He wants to ride forced buying after the expected drop fails.

S03-P0112 (L54) S03-P0113 (L54) S03-P0114 (L54) S03-P0115 (L54) S03-P0116 (L54) S03-P0124 (L54) S03-P0125 (L54) S03-P0126 (L54)

Strategy and regime

First upward halt is preferred to repeated extension

S03 | Marcelo / MightyStocks | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He generally likes the first halt most. After repeated upward halts he expects renewed short entry and sharp flushes as the stock becomes extended. The pattern is an opinion drawn from experience, not a guaranteed ordering of risk.

ELI5: Later halts can mean the squeeze is already stretched.

S03-P0121 (L54)

Strategy and regime / Losses and survival

The resumption clock is preparation, not a guaranteed reopening

S03 | Marcelo / MightyStocks | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He checks time and sales for halt time and adds the typical interval, explicitly saying the stock may resume then. The example uses a five-minute interval. This is historical workflow; reopening can differ and the transcript does not specify auction conditions.

ELI5: Be ready at the expected time, but do not assume the halt must end.

S03-P0116 (L54) S03-P0117 (L54)

Numbers

  • Value
    10:21
    Context
    example halt time
    Ref
    S03-P0116 (L54)
    Source excerpt
    halted at 10:21
  • Value
    5 minutes
    Context
    interval added in example
    Ref
    S03-P0116 (L54)
    Source excerpt
    add 5 minutes
  • Value
    10:26 and 12 seconds
    Context
    expected example resumption
    Ref
    S03-P0116 (L54)
    Source excerpt
    10:26 and 12 seconds

Entries and execution

Recorded example has execution and display lag, not just a smooth chart

S03 | Marcelo / MightyStocks | B: Reported experience

Attribution: highunverified self-report

He prepares a share order, buys at resumption, sees a dip and explains that the display is lagging while he is already long. He anticipates a high-of-day short-cover burst and points to a fast P&L increase. The transcript does not supply the full exit, realized net P&L, ticker or fills.

ELI5: A fast green P&L moment is not a complete verified trade ledger.

S03-P0117 (L54) S03-P0118 (L54) S03-P0119 (L54) S03-P0120 (L54) S03-P0121 (L54)

Numbers

  • Value
    5,600 shares
    Context
    example order and position
    Ref
    S03-P0118 (L54)
    Source excerpt
    order ready for 5,600 shares
  • Value
    3,371
    Context
    prior stock P&L before narrated entry
    Ref
    S03-P0118 (L54)
    Source excerpt
    up on the stock 3,371
  • Value
    529
    Context
    captioned entry price; likely decimal shorthand
    Ref
    S03-P0119 (L54)
    Source excerpt
    5,600 shares at a price of 529
  • Value
    $5,000
    Context
    claimed brief P&L gain, realized status unclear
    Ref
    S03-P0120 (L54)
    Source excerpt
    Made like $5,000 on that second

Entries and execution / Evidence and limitations / Concrete examples

Market-order speed creates a narrow and dangerous timing window

S03 | Marcelo / MightyStocks | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He used a market order in the example because he needed speed. He and the host acknowledge halts can reopen down or quickly reverse; entering just late can turn a scalp into a severe loss. Price and loss shorthand in the late-entry illustration is inconsistent, so it is not a reliable risk calculation.

ELI5: Being a second late can change the trade completely.

S03-P0122 (L54) S03-P0123 (L54) S03-P0124 (L54) S03-P0125 (L54)

Numbers

  • Value
    623
    Context
    late-buy illustration caption
    Ref
    S03-P0123 (L54)
    Source excerpt
    You're buying at 623
  • Value
    $120
    Context
    ambiguous captioned loss in late-entry example
    Ref
    S03-P0123 (L54)
    Source excerpt
    lost a $120 instantly

Entries and execution / Losses and survival

Trading large size for cents makes discipline economically essential

S03 | Marcelo / MightyStocks | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He explains that small per-share aims require large positions for meaningful dollar profits, and a delayed exit can therefore cost thousands. He reports that averaging down or extending holds usually punished him. Occasional rewards for rule-breaking can instead reinforce dangerous habits.

ELI5: Small targets do not mean small account risk.

S03-P0093 (L54) S03-P0094 (L54) S03-P0095 (L54) S03-P0096 (L54)

Numbers

  • Value
    10, 15, 20,000
    Context
    reported share-position scale
    Ref
    S03-P0095 (L54)
    Source excerpt
    10, 15, 20,000 share positions
  • Value
    four, five, 10 cents
    Context
    reported scalp-move scale
    Ref
    S03-P0095 (L54)
    Source excerpt
    four, five, 10 cents per trade

Sizing and exposure / Losses and survival

Tape edge is a hypothesis about participants, not observed intent

S03 | Marcelo / MightyStocks | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He speculates that market makers accumulate, remove supply and release upward moves, and says he was chopped up trying to anticipate them inside consolidation. He prefers open follow-through. Assertions of infinite money or known agendas are speculative, not evidence of specific manipulation.

ELI5: He reads price as a story about people, but their intentions remain inferred.

S03-P0127 (L54) S03-P0128 (L54) S03-P0129 (L54) S03-P0130 (L54)

Evidence and limitations

A poor business can offer a strong long scalp when shorts are wrong

S03 | Marcelo / MightyStocks | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He agrees that a worse stock may attract more confident short positions, making their forced exit more violent if it does not fade. This applies to a brief squeeze after a failed bearish expectation, not to buying low-quality businesses for durable value. His failure-frequency assertions are unsupported.

ELI5: The long thesis is other traders being trapped, not the company improving.

S03-P0130 (L54) S03-P0131 (L54) S03-P0132 (L54)

Strategy and regime

Separate swing mentality contradicts his scalp risk discipline

S03 | Marcelo / MightyStocks | B: Reported experience

Attribution: highunverified self-report

His so-called quantum swing trades borrow the mindset of a wealthy investor who can tolerate losses, buying a beaten-down familiar blue chip and holding through fear. He recounts Tesla and says he did not add despite considering what a fearless investor might do. He admits he cannot afford an enormous loss and that the approach can blow an account. Claims that these always recover are unproven and lack an invalidation rule.

ELI5: A swing held through a drawdown is a different bet from an instant-bail scalp.

S03-P0097 (L54) S03-P0098 (L54) S03-P0099 (L54) S03-P0100 (L54) S03-P0101 (L54) S03-P0102 (L54)

Numbers

  • Value
    200 bucks
    Context
    historical Tesla price discussed
    Ref
    S03-P0098 (L54)
    Source excerpt
    dropping to like 200 bucks per share
  • Value
    $66,000
    Context
    drawdown discussion, not an audited loss ledger
    Ref
    S03-P0099 (L54)
    Source excerpt
    $66,000 drowning will come

Losses and survival

Host dip-buying anecdote must not be attributed to Marcelo

S03 | Host, with Marcelo response | B: Reported experience

Attribution: highunverified self-report

The host describes risking wedding savings during tariff-related fear because he believed the American economy would not collapse, and credits profits with funding the wedding. Marcelo adds a separate roughly twenty-thousand profit statement. The binary collapse-or-recovery framing omits intermediate losses and time risk.

ELI5: A personal recovery story is not a general rule for essential savings.

S03-P0102 (L54) S03-P0103 (L54) S03-P0104 (L54)

Numbers

  • Value
    just short of 20 grand
    Context
    Marcelo response, not host wedding return
    Ref
    S03-P0104 (L54)
    Source excerpt
    a little short of 20 grand

Losses and survival

Profit-curve timing and earnings claims remain approximate

S03 | Marcelo / MightyStocks | E: Unclear or conflicting

Attribution: highunclear or conflicting transcript

Guest dates turning the corner to late 2022, but later points to an apparent beginning-of-2022 size change. He says 2024 was shy of a million, whereas the host rounds it to a million. Account headline and size-driven growth do not establish a stable return rate or scalable execution capacity.

ELI5: Keep his approximate timeline and the host rounding visible.

S03-P0044 (L54) S03-P0045 (L54) S03-P0088 (L54) S03-P0089 (L54) S03-P0090 (L54) S03-P0091 (L54)

Numbers

  • Value
    $1.5 million
    Context
    host total over three years
    Ref
    S03-P0044 (L54)
    Source excerpt
    1.5 million in profits
  • Value
    end of 2022
    Context
    guest turning point
    Ref
    S03-P0045 (L54)
    Source excerpt
    end of 2022
  • Value
    beginning of 2022
    Context
    later curve narration, potentially inconsistent
    Ref
    S03-P0089 (L54)
    Source excerpt
    beginning of 2022
  • Value
    shy of a million in 2024
    Context
    guest qualified annual claim
    Ref
    S03-P0090 (L54)
    Source excerpt
    shy of a million dollars on just 2024

Evidence and limitations

Broker dependence can invalidate a gross scalping edge

S03 | Marcelo / MightyStocks | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He alleges profitable high-frequency scalpers were removed by Schwab because their market-order flow was considered toxic. The specific causal account and universal claim about profitable customers are unverified, but they expose a real research dependency: permission, execution quality and costs at a particular broker cannot be assumed stable.

ELI5: A strategy can depend on a broker continuing to offer the same service.

S03-P0133 (L54) S03-P0134 (L54) S03-P0135 (L54)

Strategy and regime

Delayed gratification is the educational message, not a success guarantee

S03 | Marcelo / MightyStocks | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He closes by advocating simulator work, slow steps and avoiding a single destructive trade, while acknowledging a long unpaid learning curve. His conviction and successful-student anecdotes do not prove effort alone ensures profitability. The community promotion should be distinguished from independently measured outcomes.

ELI5: Practice patiently while preserving the ability to continue.

S03-P0053 (L54) S03-P0091 (L54) S03-P0092 (L54) S03-P0135 (L54) S03-P0136 (L54) S03-P0137 (L54) S03-P0138 (L54)

Losses and survival / Learning and review

Career change was driven partly by employment constraints

S05 | Don Juan / Juan | B: Reported experience

Attribution: highunverified self-report

Juan says nuclear-engineering opportunities required citizenship, frustrating his career path. He began trading slowly and loosely, then became more focused by late 2022. This personal background explains motivation, not trading advantage.

ELI5: He needed another path and learned to take it seriously.

S05-P0037 (L43) S05-P0038 (L43) S05-P0039 (L43) S05-P0042 (L43)

Numbers

  • Value
    end of 2022
    Context
    focus turning point
    Ref
    S05-P0038 (L43)
    Source excerpt
    the end of 2022

Development

Leaving work in a hot market looked premature afterward

S05 | Don Juan / Juan | B: Reported experience

Attribution: highunverified self-report

He left his job during early-2021 profitability and later believed he had done so too soon when the bear market arrived. Savings helped him survive. A profitable regime was not enough evidence of reliable livelihood.

ELI5: A good season was not proof of year-round income.

S05-P0071 (L43) S05-P0072 (L43)

Numbers

  • Value
    2021
    Context
    job departure
    Ref
    S05-P0072 (L43)
    Source excerpt
    I left my job in 2021

Development / Strategy and regime / Losses and survival

Many small undisciplined losses can impair the curve

S05 | Don Juan / Juan | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He attributes improvement to cutting FOMO-like trades, trading his own patterns and sizing when the opportunity warrants it. He corrects the host impression of no drawdown: repeated small losses created periods of decline or stagnation.

ELI5: Damage can accumulate without one dramatic blowup.

S05-P0040 (L43) S05-P0041 (L43) S05-P0042 (L43)

Sizing and exposure / Losses and survival / Psychology and decisions

Day-of-week beliefs needed checking against recorded results

S05 | Don Juan / Juan | B: Reported experience

Attribution: highunverified self-report

He recalls fatigue causing late-week losses in 2021, yet the current displayed statistics show Friday as his most profitable day. The lesson is to distinguish remembered experience and later data rather than cementing a permanent Friday ban.

ELI5: Yesterday habit may not match today record.

S05-P0042 (L43) S05-P0043 (L43)

Learning and review

Strong green day, consolidation and volume define the overnight candidate

S05 | Don Juan / Juan | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He seeks a large green first day with substantial share volume and consolidation near VWAP, rather than price closing far extended from it. The absolute volume threshold is explicit; exact VWAP distance and percentage-gain requirements are not. He thinks volume indicates support, but no causal test is supplied.

ELI5: He wants a big move that has settled with heavy participation.

S05-P0047 (L43) S05-P0048 (L43) S05-P0049 (L43)

Numbers

  • Value
    at least 80 million
    Context
    share-volume requirement
    Ref
    S05-P0048 (L43)
    Source excerpt
    at least 80 million

Strategy and regime

Wait for after-hours holding above the regular close

S05 | Don Juan / Juan | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He found afternoon anticipation less reliable. A stock that survives into after-hours and holds above the closing price is preferred; he says he would not take the example below its close. This adds a conditional filter to the earlier high-volume-day idea. Exact holding duration and order type are not stated.

ELI5: He waits to see whether strength survives the closing bell.

S05-P0051 (L43) S05-P0052 (L43)

Numbers

  • Value
    slightly above $4
    Context
    example regular close
    Ref
    S05-P0052 (L43)
    Source excerpt
    closed just slightly above $4

Entries and execution

A specific catalyst is not currently a strict requirement

S05 | Don Juan / Juan | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He is trying to improve his review of dilution, offerings and company statistics, but says overnight technicals have worked best for him. Contracts, earnings, press releases or even unexplained squeezes can qualify. This differs from traders who require a headline to avoid information-halt risk.

ELI5: He weights the price-and-volume pattern more than a catalyst category.

S05-P0049 (L43) S05-P0050 (L43) S05-P0051 (L43)

Strategy and regime

The trapped-short explanation partly comes from the host

S05 | Don Juan / Juan | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

The host imagines shorts entering a very large gain after a quiet market and being squeezed the next morning. Juan primarily explains volume and holding strength. A consolidated account should not attribute the full short-position story to Juan as an observed fact.

ELI5: The interviewer proposes one explanation; the guest supplies the trade filter.

S05-P0048 (L43) S05-P0049 (L43) S05-P0050 (L43)

Strategy and regime

WHLR example has a corrupted profit amount

S05 | Don Juan / Juan | E: Unclear or conflicting

Attribution: mediumunclear or conflicting transcript

Juan describes after-hours buying and selling the next morning, apparently around 4.50 to 10.50 with roughly two thousand shares. The transcript states a $112,000 result, which is inconsistent with those other approximate numbers. Preserve the mismatch rather than silently changing it to a plausible amount. The precise fills are absent.

ELI5: The trade direction is clear; the dollar result is not.

S05-P0044 (L43) S05-P0045 (L43) S05-P0046 (L43)

Numbers

  • Value
    $112,000
    Context
    literal captioned result, inconsistent with other figures
    Ref
    S05-P0045 (L43)
    Source excerpt
    a $112,000 trade
  • Value
    2,000 shares
    Context
    reported position
    Ref
    S05-P0045 (L43)
    Source excerpt
    2,000 shares
  • Value
    450 to 1050
    Context
    captioned prices, decimal shorthand uncertain
    Ref
    S05-P0046 (L43)
    Source excerpt
    from 450 to 1050

Psychology and decisions / Concrete examples

Overnight stress is part of the actual workload

S05 | Don Juan / Juan | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

When holding overnight he sometimes wakes extremely early or cannot sleep; he usually describes a later early-morning wake time. This matters because a trade lasting overnight can impose more personal burden than the entry time suggests.

ELI5: The position stays with him even while trying to sleep.

S05-P0045 (L43) S05-P0046 (L43) S05-P0066 (L43)

Numbers

  • Value
    5:30
    Context
    usual overnight-position wake time
    Ref
    S05-P0045 (L43)
    Source excerpt
    usually I 5:30
  • Value
    3:30
    Context
    occasional preparation wake time
    Ref
    S05-P0046 (L43)
    Source excerpt
    I'll be up at 3:30

Losses and survival / Psychology and decisions

The setup was refined as the market regime changed

S05 | Don Juan / Juan | B: Reported experience

Attribution: highunverified self-report

He started collecting data after noticing gaps in 2020. He recalls that strong high-volume days often gapped regardless of after-hours action in 2020-2021, but 2022 changed that behavior. The current holding-above-close condition should not be blended into an unchanged historic rule.

ELI5: The old version stopped being enough.

S05-P0053 (L43) S05-P0054 (L43) S05-P0051 (L43) S05-P0052 (L43)

Testing and automation

Track the whole candidate set instead of copying a winning chart

S05 | Host | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

The host proposes logging large green high-volume closes in a spreadsheet, then next-day behavior, float, news and dilution to refine the idea. This is the host learning suggestion, not a completed controlled study supplied by Juan.

ELI5: Collect the failures alongside the attractive examples.

S05-P0055 (L43) S05-P0056 (L43)

Learning and review / Testing and automation

Afternoon high-of-day breakout can align with multi-day resistance

S05 | Don Juan / Juan | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Juan also trades rare afternoon breakouts near multi-day breakout levels. In a ticker captioned TT/TTO he describes morning weakness, reclaiming VWAP, an anticipatory entry cut, then renewed buying when it held. The transcript points to chart levels without giving all prices or risk bounds.

ELI5: He wants the intraday break to matter on the bigger chart too.

S05-P0056 (L43) S05-P0057 (L43) S05-P0058 (L43)

Entries and execution

Take planned reward even if the chart later travels farther

S05 | Don Juan / Juan | B: Reported experience

Attribution: highunverified self-report

In the afternoon example he recalls selling at roughly twice his intended risk, then describes possible reentry on a dip and later an overnight pattern. He regrets some missed extension but the transcript does not establish that holding longer was superior across all trades. Decimal price captions are unclear.

ELI5: A later larger move does not prove the earlier exit was wrong.

S05-P0058 (L43) S05-P0059 (L43) S05-P0060 (L43)

Numbers

  • Value
    165 and 168
    Context
    captioned entry prices, decimal placement uncertain
    Ref
    S05-P0058 (L43)
    Source excerpt
    a lot of shares at 165 and 168
  • Value
    19 cents
    Context
    captioned exit
    Ref
    S05-P0058 (L43)
    Source excerpt
    sold everything around 19 cents
  • Value
    two times my risk
    Context
    reported planned reward
    Ref
    S05-P0058 (L43)
    Source excerpt
    two times my risk

Exits and adjustments / Concrete examples

A less clean second breakout can still qualify on volume and context

S05 | Don Juan / Juan | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

The later example has lower relative volume and a messier appearance, but Juan still considers its substantial absolute share volume and multi-day breakout proximity sufficient. This is a discretionary exception to demanding a perfect-looking first breakout, not a universal volume rule.

ELI5: An imperfect chart can still meet his broader conditions.

S05-P0060 (L43) S05-P0061 (L43) S05-P0062 (L43) S05-P0063 (L43)

Numbers

  • Value
    100 million shares
    Context
    second example volume
    Ref
    S05-P0062 (L43)
    Source excerpt
    100 million shares
  • Value
    7 pm
    Context
    later breakout time in narrative
    Ref
    S05-P0061 (L43)
    Source excerpt
    around like 7 pm.
  • Value
    39 cents
    Context
    closing-price breakout entry described
    Ref
    S05-P0063 (L43)
    Source excerpt
    breaking out of this 39 cents

Strategy and regime

Overnight distributions include a severe-loss tail

S05 | Don Juan / Juan | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He estimates that most qualifying stocks gap up, some are flat or slightly down, and a smaller part collapse. He reports being caught in offerings or bad news several times. No sample count, date range, net expectancy or loss magnitudes validate the percentages.

ELI5: Many small successes can coexist with a few dangerous overnight losses.

S05-P0062 (L43) S05-P0063 (L43)

Numbers

  • Value
    70%
    Context
    guest approximate gap-up estimate
    Ref
    S05-P0063 (L43)
    Source excerpt
    70% of the time this should Gap up
  • Value
    20%
    Context
    guest approximate slight-down or flat estimate
    Ref
    S05-P0063 (L43)
    Source excerpt
    20% of the time it kind of just gap down a little bit or just doesn
  • Value
    10%
    Context
    guest approximate severe downside estimate
    Ref
    S05-P0063 (L43)
    Source excerpt
    10% chance that it just goes down
  • Value
    two or three
    Context
    offering/bad-news incidents reported
    Ref
    S05-P0062 (L43)
    Source excerpt
    two or three offerings or bad news

Losses and survival / Evidence and limitations

Cut after-hours false starts and allow a fresh qualifying entry

S05 | Don Juan / Juan | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Many losses occur before the overnight hold because an apparent after-hours breakout fails immediately. He cuts those and may rebuy when holding strength returns, treating the initial loss as a cost of executing the pattern. Maximum retries and exact stop distances are not stated.

ELI5: A failed first attempt does not force either stubborn holding or permanent avoidance.

S05-P0064 (L43) S05-P0065 (L43)

Entries and execution / Exits and adjustments

Premarket exit is usual, with a hot-market continuation exception

S05 | Don Juan / Juan | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He generally sells in premarket because his observations place the high there for many candidates. In hot markets a dip may be followed by continued strength, but he can rebuy rather than carry every overnight position into the open. Selling also lets him recover from lost sleep. No exact exit time or scaling schedule is given.

ELI5: He takes the morning opportunity and can reassess later.

S05-P0065 (L43) S05-P0066 (L43)

Strategy and regime / Exits and adjustments / Learning and review

Specialization follows exploration, rather than forbidding it from the start

S05 | Don Juan / Juan | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He recommends becoming good at one or two patterns but acknowledges that trying varied approaches, including shorting, helped him discover fit. This is a sequence: explore carefully, then narrow.

ELI5: Experiment to learn your fit, then stop trading everything.

S05-P0066 (L43) S05-P0067 (L43) S05-P0068 (L43)

Learning and review

FOMO is separately labeled, measured and still not eliminated

S05 | Don Juan / Juan | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He records trades he should not have taken as a category and reviews their count and losses monthly. He admits still making them, uses reduced risk especially in slower markets, and notes that a familiar pattern can lack adequate volume/liquidity. No numerical low-liquidity or risk-reduction threshold is given.

ELI5: He measures his bad habit instead of claiming it disappeared.

S05-P0068 (L43) S05-P0069 (L43)

Strategy and regime / Learning and review

Breaks protect against boredom-driven trades

S05 | Don Juan / Juan | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

On quiet days he still watches for opportunities over a long day, but uses gym and dog-walking breaks because constant screen presence can provoke trades he should skip. The schedule is not continuous execution.

ELI5: Leaving the screen can help him wait.

S05-P0070 (L43) S05-P0071 (L43)

Numbers

  • Value
    7 to five or six
    Context
    typical broad workday with breaks
    Ref
    S05-P0071 (L43)
    Source excerpt
    I still wake up at 7 work till

Learning and review

Host recovery story illustrates regime risk, not evidence for Juan method

S05 | Host | B: Reported experience

Attribution: highunverified self-report

The host says a gap-short strategy grew a small account dramatically before giving back half as behavior changed. He still struggles with consistency. Those capital claims belong to the host, and his inference about market cycles should not be counted as Juan result.

ELI5: Do not merge an interviewer account with the guest track record.

S05-P0054 (L43) S05-P0055 (L43)

Numbers

  • Value
    $600 to over $100,000
    Context
    host account story
    Ref
    S05-P0054 (L43)
    Source excerpt
    $600 and over 100,000

Strategy and regime

Trading began as an attempted rescue from business failure

S06 | Rob Booker | B: Reported experience

Attribution: highunverified self-report

Booker recounts law school, securities-industry exposure and failed companies before beginning currencies. He now calls trying to trade out of a financial mess a poor premise. Attraction to leverage made him ignore an experienced contact warnings.

ELI5: Urgent need for money distorted his early risk judgment.

S06-P0045 (L55) S06-P0046 (L55) S06-P0047 (L55) S06-P0048 (L55)

Numbers

  • Value
    2000
    Context
    stated currency-trading start
    Ref
    S06-P0048 (L55)
    Source excerpt
    trading currency in the year 2000

Development / Sizing and exposure

Revenue and profit were different even before trading

S06 | Rob Booker | B: Reported experience

Attribution: highunverified self-report

His automated recruiting websites reportedly generated substantial monthly revenue but spent more, eventually failing. The anecdote illustrates why gross inflows are not financial success; its amounts are self-reported business history, not trading profit.

ELI5: Money coming in is not the same as money kept.

S06-P0049 (L55) S06-P0050 (L55)

Numbers

  • Value
    $70,000 monthly
    Context
    reported revenue
    Ref
    S06-P0050 (L55)
    Source excerpt
    $70,000 month
  • Value
    $80,000 monthly
    Context
    reported spending
    Ref
    S06-P0050 (L55)
    Source excerpt
    $80,000 a month

Psychology and decisions

Historical FX carry depended on exceptional account terms

S06 | Rob Booker | B: Reported experience

Attribution: highunverified self-report

He describes long high-interest yen crosses in one account, offsetting shorts in a specially negotiated no-interest account, then transferring money between accounts after margin calls. He says interest, leverage and broker terms were the edge. This is a historical infrastructure arrangement with funding, counterparty and unhedged-timing risks, not a portable current trade.

ELI5: The special financing deal was the strategy.

S06-P0055 (L55) S06-P0056 (L55) S06-P0057 (L55) S06-P0058 (L55)

Numbers

  • Value
    6% differential
    Context
    reported historical carry
    Ref
    S06-P0056 (L55)
    Source excerpt
    interest rate differential was 6%
  • Value
    thousand to one
    Context
    reported historical leverage
    Ref
    S06-P0056 (L55)
    Source excerpt
    a thousand to one leverage
  • Value
    four years
    Context
    reported duration
    Ref
    S06-P0058 (L55)
    Source excerpt
    I did that for four years
  • Value
    $6 million
    Context
    reported funds transferred between accounts
    Ref
    S06-P0058 (L55)
    Source excerpt
    moving $6 million back and forth

Sizing and exposure

He pursued broker glitches rather than only chart patterns

S06 | Rob Booker | B: Reported experience

Attribution: highunverified self-report

Booker recounts stale manually updated quotes and an order-request bot trying to transact outside the spread. He says excessive requests ultimately took a broker offline. These are unverifiable historical anecdotes about venue weaknesses, not safe, durable or authorized modern execution techniques. No implementation should be inferred from them.

ELI5: A temporary platform weakness is different from a lasting market edge.

S06-P0060 (L55) S06-P0061 (L55) S06-P0062 (L55) S06-P0063 (L55)

Numbers

  • Value
    10 seconds
    Context
    claimed quote delay
    Ref
    S06-P0061 (L55)
    Source excerpt
    delayed by 10 seconds
  • Value
    20,000 orders a minute
    Context
    claimed request load that caused outage
    Ref
    S06-P0062 (L55)
    Source excerpt
    20,000 orders a minute

Strategy and regime / Testing and automation

His broad skepticism of FX comes from personal failed approaches

S06 | Rob Booker | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He says most other currency ideas, except some bots, did not work for him and sees interest differentials as central. This is not evidence that nobody can trade FX; his own exceptions and special-account history make the narrower reading essential.

ELI5: His experience explains his preference, not a universal impossibility.

S06-P0059 (L55) S06-P0054 (L55) S06-P0068 (L55)

Evidence and limitations

Retail direction can be right while position size causes failure

S06 | Rob Booker | B: Reported experience

Attribution: highunverified self-report

He reports broker-book observations that retail net positioning often anticipated the next-day direction, yet accounts stopped out on intervening adverse movement because they were too large. The very high success estimate has no sample, rule or dataset supplied. A proposed product based on that observation did not attract support, according to his account.

ELI5: Correct direction does not guarantee you can survive the path.

S06-P0063 (L55) S06-P0064 (L55) S06-P0065 (L55)

Numbers

  • Value
    90% or more
    Context
    reported directional tendency, unverified
    Ref
    S06-P0064 (L55)
    Source excerpt
    90% of the time or more

Sizing and exposure / Losses and survival

Loss of an infrastructure edge forced years of searching

S06 | Rob Booker | B: Reported experience

Attribution: highunverified self-report

He attributes the end of his carry arrangement to regulatory/broker-access changes, then describes trying options and buying runners without finding fit. His legal summary is historical and broad, not current guidance. After exposure to successful transparent shorts he moved predominantly toward short selling.

ELI5: When the account arrangement disappeared, so did that edge.

S06-P0067 (L55) S06-P0068 (L55) S06-P0069 (L55) S06-P0070 (L55) S06-P0071 (L55)

Numbers

  • Value
    2021 / 2022
    Context
    short-selling transition
    Ref
    S06-P0071 (L55)
    Source excerpt
    started shorting in 2021 and then a lot in 2022
  • Value
    90%
    Context
    approximate current short-selling share
    Ref
    S06-P0071 (L55)
    Source excerpt
    90% of what I do is short selling now

Development

Large-cap earnings fades are an additional undeveloped idea

S06 | Rob Booker | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He has begun shorting loss-making larger companies that pop after better-than-expected earnings, entering after hours and holding to morning. He cites capacity and borrow economics, but no precise trigger, price limit, loss rule or demonstrated sample is supplied. Borrow-cost claims are historical, not guaranteed.

ELI5: The idea has a direction and holding period but not enough rules.

S06-P0071 (L55) S06-P0072 (L55)

Sizing and exposure

Small relative exposure is his primary current risk rationale

S06 | Rob Booker | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He describes being overcapitalized and sizing so that severe price movement creates manageable account damage. He contrasts this with earlier small-account practice, where risk was high. His statement that he can stay solvent forever is rhetoric, not a mathematical guarantee, and the drawdown percentage caption is unreadable.

ELI5: His financial cushion matters as much as his entry.

S06-P0074 (L55) S06-P0075 (L55) S06-P0076 (L55)

Numbers

  • Value
    $4 to $12
    Context
    hypothetical adverse short move
    Ref
    S06-P0075 (L55)
    Source excerpt
    at $4 and it
  • Value
    s%
    Context
    corrupted drawdown percentage, not safely recoverable
    Ref
    S06-P0075 (L55)
    Source excerpt
    draw down of maybe s%

Sizing and exposure / Losses and survival

MLGO exposes the hidden path behind a later winning closed trade

S06 | Rob Booker | B: Reported experience

Attribution: highunverified self-report

He shorted too early and too large while emotionally upset during a retreat, saw a major unrealized loss within a day, and says it worsened before eventually closing for profit. He calls this a serious mistake despite the final gain. A smooth realized curve can omit the episode, so winning classification cannot validate the risk.

ELI5: A profitable exit can hide an unacceptable journey.

S06-P0076 (L55) S06-P0077 (L55) S06-P0078 (L55) S06-P0079 (L55)

Numbers

  • Value
    $100,000
    Context
    reported initial unrealized drawdown
    Ref
    S06-P0077 (L55)
    Source excerpt
    down $100,000 in unrealized losses
  • Value
    24 hours
    Context
    time to initial severe drawdown
    Ref
    S06-P0077 (L55)
    Source excerpt
    24 hours later
  • Value
    10 times
    Context
    comparison with prior worst drawdown
    Ref
    S06-P0077 (L55)
    Source excerpt
    10 times worse than the largest draw down
  • Value
    $29,000
    Context
    reported eventual realized gain
    Ref
    S06-P0078 (L55)
    Source excerpt
    $29,000 gain

Losses and survival / Concrete examples

Facing shame is useful, but holding until recovery is not proven risk control

S06 | Rob Booker | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He contrasts facing the MLGO situation with past shame and prolonged emotional withdrawal. He credits others loss journals for helping. The account does not specify a hard cap or contingency if the stock failed to recover; emotional resilience and economic risk management remain separate questions.

ELI5: Staying calm does not make an uncapped position safe.

S06-P0077 (L55) S06-P0078 (L55) S06-P0079 (L55) S06-P0103 (L55) S06-P0104 (L55)

Losses and survival / Psychology and decisions / Learning and review

Documentation is a prerequisite for taking a trade

S06 | Rob Booker | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He studied differences between spikes that persisted and those that faded, saving charts, annotations and analysis for nearly every short. He says he will not take a trade if unwilling to document it. This is a concrete friction against impulsive trades, though the journal alone does not establish predictive validity.

ELI5: If he will not explain it, he says he should not trade it.

S06-P0081 (L55) S06-P0082 (L55) S06-P0083 (L55) S06-P0084 (L55) S06-P0085 (L55) S06-P0114 (L55)

Numbers

  • Value
    over 2,000
    Context
    approximate total trades documented
    Ref
    S06-P0084 (L55)
    Source excerpt
    over 2,000 trades probably now
  • Value
    798
    Context
    slides/trades in displayed journal deck, not necessarily whole history
    Ref
    S06-P0114 (L55)
    Source excerpt
    798 Short Selling trades

Learning and review

Small accounts face proportional risk and fee constraints

S06 | Rob Booker | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He says tiny short positions can be overwhelmed by borrow charges and that historical day-trade restrictions pushed overnight holding. He regards smaller accounts as harder, with greater percentage drawdowns, and focuses their selection more tightly. His claim that a certain share count is necessary is broker- and price-dependent, not universal.

ELI5: Small accounts can face costs and restrictions that change the whole method.

S06-P0086 (L55) S06-P0087 (L55) S06-P0088 (L55) S06-P0089 (L55) S06-P0090 (L55)

Numbers

  • Value
    100 shares
    Context
    his stated minimum for cost practicality
    Ref
    S06-P0088 (L55)
    Source excerpt
    trade at least 100 shares
  • Value
    $500
    Context
    hypothetical overnight loss
    Ref
    S06-P0088 (L55)
    Source excerpt
    down $500 overnight
  • Value
    seven times
    Context
    reported small-account practice cycles
    Ref
    S06-P0086 (L55)
    Source excerpt
    I did that seven times

Entries and execution / Sizing and exposure

Fundamental quality defines the long-versus-short distinction

S06 | Rob Booker | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

For potential longs he favors cash runway, institutional ownership, limited dilution threat and sometimes substantive approval news. Shorts target the opposite weak-company profile, later explicitly including insufficient cash to last a year. Assertions that all other companies fail are unproven; the screen is a hypothesis.

ELI5: He wants financial strength for longs and weakness for shorts.

S06-P0089 (L55) S06-P0090 (L55) S06-P0091 (L55) S06-P0113 (L55) S06-P0131 (L55) S06-P0132 (L55)

Numbers

  • Value
    40 months or more
    Context
    potential long cash runway
    Ref
    S06-P0113 (L55)
    Source excerpt
    40 months or more of cash left
  • Value
    more than 20%
    Context
    potential long institutional ownership
    Ref
    S06-P0113 (L55)
    Source excerpt
    more than 20% institutional ownership
  • Value
    over 100 million
    Context
    potential long market cap
    Ref
    S06-P0113 (L55)
    Source excerpt
    market cap over a 100 million
  • Value
    next 12 months
    Context
    short-company cash concern
    Ref
    S06-P0131 (L55)
    Source excerpt
    next 12 months

Strategy and regime

AI-assisted common traits are a selected-sample discovery, not validation

S06 | Rob Booker | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He collects successful published long trades, maps entries, size, timing and adverse excursion, then feeds earnings releases and filings to AI to seek common company traits. Because the selection starts from successful visible traders/trades, shared features need failed controls, point-in-time data and prospective testing. He presents the long screen as something he may begin doing.

ELI5: Finding traits among winners is a starting question, not the answer.

S06-P0111 (L55) S06-P0112 (L55) S06-P0113 (L55)

Numbers

  • Value
    30 minutes a day
    Context
    reported leaderboard research time
    Ref
    S06-P0111 (L55)
    Source excerpt
    30 minutes a day on Kino

Strategy and regime / Evidence and limitations

Transparency changed both accountability and access to examples

S06 | Rob Booker | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He admits earlier concern that exposing errors could hurt sales. After stopping sales he opened results and journals and learned from others entries, holding times, share sizes and adverse movement. He regards verification as his own teaching obligation while hesitating to make a universal judgment about all teachers.

ELI5: Public records helped him learn and made hiding mistakes harder.

S06-P0091 (L55) S06-P0092 (L55) S06-P0093 (L55) S06-P0094 (L55) S06-P0095 (L55) S06-P0096 (L55) S06-P0097 (L55) S06-P0098 (L55) S06-P0099 (L55) S06-P0100 (L55) S06-P0101 (L55) S06-P0102 (L55)

Learning and review

Loss-case teaching can be more useful than ideal signal demonstrations

S06 | Rob Booker | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He values Tim Grittani-style descriptions of serious mistakes and wants to explain what went wrong, how he worsened it and what to do differently. The host high-win-rate comments reinforce the concern but do not supply a measured expectancy. Preventing large givebacks is the theme, not proof that entries never matter.

ELI5: Study what breaks the method, not only the clean winners.

S06-P0103 (L55) S06-P0104 (L55) S06-P0105 (L55) S06-P0106 (L55) S06-P0133 (L55)

Losses and survival / Learning and review

Rehearse larger losses before increasing size

S06 | Rob Booker | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

With a friend he whiteboards adverse scenarios to prepare for larger positions, including reducing exposure and possibly re-establishing higher. The figures are hypothetical drills, not reported losses or a universally valid stop/reentry strategy. He wants to avoid profit targets that force behavior.

ELI5: Practice the bad day before making the position bigger.

S06-P0106 (L55) S06-P0107 (L55) S06-P0108 (L55) S06-P0109 (L55)

Numbers

  • Value
    $140,000
    Context
    hypothetical drawdown drill
    Ref
    S06-P0107 (L55)
    Source excerpt
    down $140,000 on a trade
  • Value
    $200,000
    Context
    hypothetical further drawdown
    Ref
    S06-P0108 (L55)
    Source excerpt
    a $200,000 loss
  • Value
    $3
    Context
    hypothetical move to next level
    Ref
    S06-P0108 (L55)
    Source excerpt
    $3 away

Sizing and exposure

The narrated short combines weak fundamentals, pivot rejection and VWAP loss

S06 | Rob Booker | B: Reported experience

Attribution: highunverified self-report

In ticker captioned VC he describes a pop to the monthly pivot, a rejection and a move below one-minute VWAP before shorting. He checks low institutional ownership and small market cap, and historical fade behavior. Reported borrowed/shorted size figures differ across adjacent narration; they need not represent the same fill.

ELI5: The level mattered after the company and price behavior qualified.

S06-P0115 (L55) S06-P0116 (L55)

Numbers

  • Value
    10%
    Context
    example institutional ownership
    Ref
    S06-P0115 (L55)
    Source excerpt
    Institutional ownership of 10%
  • Value
    5,000 plus 3,000
    Context
    example entry/add narration
    Ref
    S06-P0116 (L55)
    Source excerpt
    shorted 5,000 shorted 3,000 more
  • Value
    10,000
    Context
    earlier share narration, relation to fills unclear
    Ref
    S06-P0115 (L55)
    Source excerpt
    10,000 shares

Concrete examples

Monthly pivots are context and targets, not a standalone short signal

S06 | Rob Booker | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He prefers a downtrending stock rising to the underside of the current monthly pivot and rejecting, or a price above the pivot with that level as a target. He also watches untested old pivots. Fundamentals must qualify first. The formula, old-level lifespan and exact rejection criteria are not given.

ELI5: He uses a reference price after deciding which stock is suitable.

S06-P0117 (L55) S06-P0118 (L55) S06-P0119 (L55) S06-P0120 (L55) S06-P0121 (L55) S06-P0123 (L55) S06-P0124 (L55)

Entries and execution / Exits and adjustments

High pivot-touch frequency does not demonstrate a profitable trade

S06 | Rob Booker | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He recounts a multi-day historical study with a visitor using a large Bloomberg dataset and finding frequent monthly pivot touches. No universe, dates, calculation, entry, risk, direction or net return results are supplied. Touch probability and tradable expectancy are different quantities.

ELI5: A price often reaching a level does not tell you how much risk it takes.

S06-P0118 (L55) S06-P0119 (L55)

Numbers

  • Value
    85% or higher
    Context
    claimed monthly pivot-touch frequency
    Ref
    S06-P0119 (L55)
    Source excerpt
    85% or higher

Testing and automation / Evidence and limitations

Floor-trader pivot story supplies a mental model, not additional statistical proof

S06 | Rob Booker reporting a floor trader | B: Reported experience

Attribution: highunverified self-report

He recalls a retired floor trader carrying daily, weekly and monthly pivots and describing them as fair-value anchors for trading away from and back toward levels. This is secondhand experience that influenced Booker, not a validated general price law.

ELI5: The anecdote explains why he studies the levels.

S06-P0122 (L55) S06-P0123 (L55)

Development

Usually ignoring news has a major thematic exception

S06 | Rob Booker | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He says he mostly does not care about individual news, but avoids shorts in hot themes where collective excitement overwhelms weak fundamentals. He lists robotics, crypto pivots and vaccine-related themes and writes annual theme expectations. These are historical examples; bearish conditions can also reduce opportunities by suppressing spikes.

ELI5: A weak business can still be a dangerous short inside a hot theme.

S06-P0124 (L55) S06-P0125 (L55) S06-P0126 (L55) S06-P0127 (L55)

Strategy and regime

Wait for exhaustion instead of racing into the spike

S06 | Rob Booker | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He describes loss-making companies up substantially premarket, approaching pivot areas and showing exhaustion. His written reminder is to wait, accepting missed trades. Host highlights early entries and excessive size; Booker adds poor stock selection as another failure route. Exact exhaustion and stop criteria remain absent.

ELI5: Missing a short is preferable to being too early in the wrong stock.

S06-P0128 (L55) S06-P0129 (L55) S06-P0130 (L55) S06-P0131 (L55)

Numbers

  • Value
    30% or more
    Context
    premarket gain screen
    Ref
    S06-P0129 (L55)
    Source excerpt
    jump 30% or more

Strategy and regime / Entries and execution / Psychology and decisions

Borrowed authority from leaderboard profits has a boundary

S06 | Rob Booker | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He admires transparent traders for showing losses and uses their records for hypotheses. But focusing only on visible successful accounts selects survivors. His own unrealized MLGO loss demonstrates why closed gains or a smooth chart need account-level open-risk data.

ELI5: Visibility improves research, but the sample is still selective.

S06-P0073 (L55) S06-P0077 (L55) S06-P0078 (L55) S06-P0094 (L55) S06-P0095 (L55) S06-P0109 (L55) S06-P0110 (L55) S06-P0111 (L55) S06-P0133 (L55)

Evidence and limitations

Mentorship must diagnose the individual

S07 | Edu Trades | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Edu says his early difficulties make him recognize others struggles, but a mentor must understand the learner strengths, weaknesses and personality instead of demanding imitation. Guidance can label problems; the learner still needs personal insights.

ELI5: Useful coaching fits the person, not just the teacher method.

S07-P0057 (L66) S07-P0058 (L66) S07-P0059 (L66)

Development

Monetary milestones can distract from process

S07 | Edu Trades | B: Reported experience

Attribution: highunverified self-report

He says focusing on reaching the million mark made him overly result-oriented. Watchlists, plans, checklists, due diligence and the broader picture mattered more than being green today. He reports doing better when detached from the monetary goal, without providing a controlled measurement.

ELI5: Do the repeatable work instead of staring at the score.

S07-P0061 (L66) S07-P0062 (L66) S07-P0063 (L66) S07-P0064 (L66)

Psychology and decisions

Success did not eliminate painful self-evaluation

S07 | Edu Trades | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

After reaching financial goals, bad days still made him question whether he was a good trader. He distinguishes external results from fulfillment and says scaling creates new psychological problems. Later he identifies family legacy and freedom as motivations to recover from discouragement.

ELI5: The next profit milestone may not solve the emotional problem.

S07-P0064 (L66) S07-P0065 (L66) S07-P0066 (L66) S07-P0088 (L66) S07-P0089 (L66) S07-P0090 (L66) S07-P0091 (L66) S07-P0092 (L66)

Psychology and decisions

Future-self visualization is a motivational practice, not evidence of edge

S07 | Edu Trades | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He imagines the future trader he wants to become and reverse-engineers that person habits. He mentions Tony Robbins and a captioned Joe Dispenza book. The host strongly praises the method, but no proof is offered that visualizing success makes it probable.

ELI5: Imagine the habits you want, then practice them.

S07-P0068 (L66) S07-P0069 (L66) S07-P0070 (L66) S07-P0071 (L66) S07-P0072 (L66)

Psychology and decisions / Learning and review

Technical edge must precede psychological explanations

S07 | Edu Trades | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He explicitly warns that confidence, stress management and vision cannot rescue a trader with no actual advantage. He asks struggling traders to explain what they do well and which setups produce results; vague indicator language is inadequate.

ELI5: Feeling confident does not make a losing method profitable.

S07-P0073 (L66) S07-P0074 (L66) S07-P0075 (L66) S07-P0077 (L66)

Strategy and regime / Psychology and decisions

Study strengths as well as mistakes

S07 | Edu Trades | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He credits a trading-psychology conference insight: traders often ask only what went wrong rather than how to maximize their effective setups. He describes a winner offsetting several losses as part of risk thinking, but not as a universal fixed reward multiple.

ELI5: Improve your good trades too, not only your bad habits.

S07-P0075 (L66) S07-P0076 (L66)

Numbers

  • Value
    two or three losses
    Context
    illustrative payoff relationship
    Ref
    S07-P0076 (L66)
    Source excerpt
    two or three losses

Sizing and exposure / Learning and review

Validation pressure can exist even at tiny dollar size

S07 | Edu Trades | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

When the host suggests small P&L should mean little stress, Edu replies that proving oneself to skeptical loved ones can be the real issue. This separates psychological stake from dollar stake.

ELI5: A one-dollar loss can feel like a verdict about you.

S07-P0067 (L66) S07-P0068 (L66) S07-P0077 (L66) S07-P0078 (L66) S07-P0079 (L66)

Sizing and exposure / Psychology and decisions

Setup tagging is the host proposed learning bridge

S07 | Host | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

The host suggests exploring styles, tagging trades by setup and seeing what is profitable before relying on a confident future-self narrative. It is a workflow suggestion in this conversation, not proof Edu followed that exact tagging system.

ELI5: Measure which pattern works before building confidence around it.

S07-P0079 (L66) S07-P0080 (L66)

Learning and review

An expressive personality is compatible with focused execution

S07 | Edu Trades | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He uses music, jokes and community while waiting, yet says entering a position requires full concentration and no distractions. He does not claim emotions help every decision; he says fewer emotions can make trading easier, while different personalities can still develop suitable routines.

ELI5: Relax while waiting, concentrate when acting.

S07-P0082 (L66) S07-P0083 (L66) S07-P0084 (L66) S07-P0085 (L66) S07-P0087 (L66) S07-P0088 (L66)

Psychology and decisions / Learning and review

His method combines selectively learned components

S07 | Edu Trades | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He lists lessons from several teachers, including pyramiding, filings, recycling and options-related information, then adapts them to his own style. The named techniques are not fully specified in this interview and cannot be merged into a complete mechanical system.

ELI5: He built a personal combination, not an exact copy.

S07-P0086 (L66) S07-P0087 (L66)

Development / Learning and review

Transparency has educational and commercial incentives

S07 | Edu Trades | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He values public records as evidence that ordinary people can succeed, as research material and as a way to contact peers. He also explicitly says verification can boost course sales. His account of critics commercial motives and the claimed uniqueness of Kinfo verification remain opinions rather than independent findings.

ELI5: Transparency helps learning and marketing at the same time.

S07-P0092 (L66) S07-P0093 (L66) S07-P0094 (L66) S07-P0095 (L66) S07-P0096 (L66) S07-P0097 (L66) S07-P0098 (L66) S07-P0099 (L66) S07-P0100 (L66) S07-P0101 (L66) S07-P0134 (L66)

Strategy and regime

Teaching competence and profitable trading must be represented separately

S07 | Edu Trades | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He says a person can teach order entry, patterns, statistics or risk without being profitable, provided that limitation is disclosed. He also allows privacy reasons for not publishing results and objects to presenting a private profile as public transparency. He recalls disclosing modest results when he began teaching.

ELI5: Teach what you know without inventing a profitable record.

S07-P0099 (L66) S07-P0100 (L66) S07-P0102 (L66) S07-P0103 (L66) S07-P0106 (L66) S07-P0107 (L66) S07-P0108 (L66) S07-P0109 (L66)

Numbers

  • Value
    $1,000 a month
    Context
    reported result disclosed in early teaching
    Ref
    S07-P0109 (L66)
    Source excerpt
    probably like $1,000 a month

Learning and review / Evidence and limitations

Promotion can create tradable activity but does not establish legitimacy

S07 | Edu Trades | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He welcomes the volume and attention promotions bring to small caps because volatility is necessary for his trading. His favorable comments about a promoter are not an endorsement of underlying factual claims or proof of lawful conduct. Host labels and jokes should not be treated as established accusations.

ELI5: More attention can create opportunities even when the story is weak.

S07-P0104 (L66) S07-P0105 (L66) S07-P0106 (L66)

Strategy and regime

Study evolving promotion channels and event behavior

S07 | Edu Trades | B: Reported experience

Attribution: highunverified self-report

He views the recent GME dilution event and FFIE activity as learning opportunities, contrasting phone/mail promotions with online groups and large livestream audiences. The dilution count and audience count are approximate interview claims; the setup is not fully reconstructed with entry and exit details.

ELI5: The way attention arrives changes, so study the new form.

S07-P0110 (L66) S07-P0111 (L66) S07-P0112 (L66) S07-P0113 (L66)

Numbers

  • Value
    75 million shares
    Context
    approximate GME ATM claim
    Ref
    S07-P0111 (L66)
    Source excerpt
    I think it was 75 million shares
  • Value
    600,000 viewers
    Context
    reported livestream attention
    Ref
    S07-P0112 (L66)
    Source excerpt
    600,000 viewers in YouTube

Strategy and regime

His direction bias evolved with perceived short crowding

S07 | Edu Trades | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He began long-biased, became focused on shorts, then moved toward aligning with the stock current phase as short selling became crowded. He still uses contrarian-looking pullback entries within a larger trend, rather than buying every uptick or shorting every downtick.

ELI5: Choose the direction first, then trade its smaller swings.

S07-P0114 (L66) S07-P0115 (L66) S07-P0116 (L66) S07-P0120 (L66)

Strategy and regime

He prefers capturing part of a move to competing for spectacular totals

S07 | Edu Trades | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He describes being content with a portion of a larger move and a moderate personal daily profit range, while still learning to use liquidity to scale. Comparing his good day with another trader huge gain made him feel inadequate. These dollar and percentage remarks describe preferences, not promised returns or a complete target algorithm.

ELI5: A useful slice can be enough even if someone else earns more.

S07-P0116 (L66) S07-P0117 (L66) S07-P0118 (L66)

Numbers

  • Value
    $1,000 to $6,000
    Context
    stated comfortable daily range, not forecast
    Ref
    S07-P0116 (L66)
    Source excerpt
    between $1,000 and $6,000
  • Value
    7% of a 25 or 30% move
    Context
    illustrative captured portion
    Ref
    S07-P0118 (L66)
    Source excerpt
    in a 25 or 30% move get that 7%

Exits and adjustments

Area-based recycling adjusts inventory instead of targeting a perfect top

S07 | Edu Trades | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He marks a supply/resistance area, shorts as price enters it, reduces part if risk becomes uncomfortable and may add again higher. This is specifically on the backside/downtrend, seeking a favorable average near resistance. No share formula, maximum net exposure or precise invalidation is given.

ELI5: He changes the position inside a zone rather than betting everything at one price.

S07-P0119 (L66) S07-P0120 (L66) S07-P0121 (L66) S07-P0122 (L66)

Numbers

  • Value
    10%
    Context
    illustrative width of area
    Ref
    S07-P0119 (L66)
    Source excerpt
    that area has a range of 10%

Entries and execution / Sizing and exposure

MLGO example is a supply thesis without full executions

S07 | Edu Trades | B: Reported experience

Attribution: highunverified self-report

He describes a downtrend with substantial overhead resistance from prior days, then shorting small pops because he expects supply to overwhelm insufficient volume. The date, fills, borrow costs and dollar risk are absent. The claim about overhead supply is his interpretation of the chart.

ELI5: Prior trapped holders are his reason to fade the bounce.

S07-P0120 (L66) S07-P0121 (L66) S07-P0122 (L66)

Concrete examples

VWAP and occasionally named EMAs help identify the backside

S07 | Edu Trades | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He usually uses VWAP and sometimes a mentor named EMA combination for a late-fade pattern. He associates breaks of those levels with a backside transition. The EMA periods and exact rules are not disclosed, so the named lines must not become invented indicator settings.

ELI5: The indicators are context, but their settings are missing.

S07-P0124 (L66) S07-P0125 (L66)

Strategy and regime

Long-first advice is his learning preference, not a proven universal order

S07 | Edu Trades | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He recommends beginners spend an initial period on longs, viewing them as account-growth opportunities and shorts as cash-flow trades. Understanding when longs are trapped can later improve shorting. This is an opinion about skill transfer; he supplies no complete beginner long setup or evidence that it suits everyone.

ELI5: Learn how buyers lose before trying to profit from their loss.

S07-P0122 (L66) S07-P0123 (L66)

Learning and review

CTNT defeated the apparent backside thesis before ultimately falling

S07 | Edu Trades | B: Reported experience

Attribution: highunverified self-report

His worst loss of the year involved a stock that fell sharply, then rebounded far past earlier levels, and later fell again. He says his conviction in eventual decline was right but the intermediate squeeze was destructive. This directly qualifies confidence in downtrends, overhead supply and recycling.

ELI5: Being right later does not save a short that cannot survive the rally.

S07-P0127 (L66) S07-P0128 (L66)

Numbers

  • Value
    10 to 2 to 10 to 45 to 2
    Context
    narrated CTNT path
    Ref
    S07-P0127 (L66)
    Source excerpt
    from 10 to two right backside
  • Value
    600%
    Context
    guest approximate missed adverse move description
    Ref
    S07-P0128 (L66)
    Source excerpt
    a 600% move

Losses and survival / Concrete examples

Regime changes punished buy-and-hold-through-dips habits

S07 | Edu Trades | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He contrasts abundant 2021 opportunities with 2022 givebacks and subsequent reversal risk, calling for tighter discipline. His general statements about easy recovery in 2021 are retrospective perceptions, not a universal rule or systematic market study.

ELI5: A habit rewarded in one period can fail in the next.

S07-P0125 (L66) S07-P0126 (L66) S07-P0127 (L66)

Strategy and regime

Start small so experience remains affordable

S07 | Edu Trades | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He warns that beginners with large capital but little skill can make learning too expensive to survive. He frames development over years, criticizes entitlement after a few courses and says his advantage comes from accumulated experience, not superior intelligence. This does not guarantee effort eventually becomes profitable.

ELI5: Make early mistakes cheap enough to learn from.

S07-P0128 (L66) S07-P0129 (L66) S07-P0130 (L66) S07-P0131 (L66) S07-P0132 (L66) S07-P0133 (L66)

Numbers

  • Value
    nine years
    Context
    reported experience
    Ref
    S07-P0132 (L66)
    Source excerpt
    I've been doing this for nine years

Sizing and exposure / Losses and survival / Learning and review

The visible profitable year followed years of learning and outside income

S08 | Tim / Trading With Tim | B: Reported experience

Attribution: highunverified self-report

He began learning as a teenager in simulation, arranged school arrival around market observation and funded trading through several businesses. The host initially mistook a short displayed record for a short learning history. A million-dollar total was not fully uploaded at interview time.

ELI5: The chart shows results, not all the years and outside work before them.

S08-P0045 (L54) S08-P0046 (L54) S08-P0047 (L54) S08-P0048 (L54) S08-P0049 (L54) S08-P0098 (L54)

Numbers

  • Value
    16
    Context
    age he started learning
    Ref
    S08-P0047 (L54)
    Source excerpt
    learning trading when I was 16
  • Value
    24
    Context
    age at interview
    Ref
    S08-P0047 (L54)
    Source excerpt
    24 right now
  • Value
    923 thousand
    Context
    host visible-record claim
    Ref
    S08-P0045 (L54)
    Source excerpt
    923 th000 in verified profits
  • Value
    65 to 70 grand
    Context
    guest earlier premarket profit estimate, not yet added
    Ref
    S08-P0049 (L54)
    Source excerpt
    65 70 grand

Development / Evidence and limitations

Opening liquidity changed the fit of his execution method

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

After meeting peers and trying the opening session, he stopped premarket trading. He found the first two hours better for frequent entries and exits. Premarket spread and collapsing bids made risk less controllable with limit orders. This is his method-specific session preference.

ELI5: More available liquidity made quick exits easier for his style.

S08-P0050 (L54) S08-P0051 (L54) S08-P0052 (L54) S08-P0053 (L54) S08-P0054 (L54)

Numbers

  • Value
    first two hours
    Context
    preferred current session
    Ref
    S08-P0051 (L54)
    Source excerpt
    the first two hours are my best

Entries and execution

Repeated trades helped identify his strongest subtypes

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He likens many trade repetitions to gym practice and found his better trades in first or micro pullbacks and support absorption, rather than buying at the top. Other setups include bottoms and flat tops, but the interview develops the dip subtype most fully. Repetition without review is not shown to improve skill by itself.

ELI5: Many examples helped him discover which entries fit him.

S08-P0054 (L54) S08-P0055 (L54) S08-P0056 (L54) S08-P0057 (L54) S08-P0058 (L54)

Numbers

  • Value
    2,000 orders a week
    Context
    reported former broker limit and practice scale
    Ref
    S08-P0055 (L54)
    Source excerpt
    2,000 orders every week

Strategy and regime / Learning and review

Commission structure can erase a micro-profit strategy

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He remembers gross positive trading being consumed by round-trip commissions, then benefiting from commission-free trading after reaching historical account requirements. He acknowledges regulatory fees increased. Broker economics and price impact must therefore be part of any replication.

ELI5: A few cents of edge may be less than the cost of trading.

S08-P0062 (L54) S08-P0063 (L54) S08-P0064 (L54)

Numbers

  • Value
    $7 each way
    Context
    historical commission example
    Ref
    S08-P0063 (L54)
    Source excerpt
    $7 in $7 out
  • Value
    two cents on a thousand shares
    Context
    his approximate cost hurdle
    Ref
    S08-P0063 (L54)
    Source excerpt
    a thousand shares you had to make two cents

Testing and automation

Host leaderboard inference does not prove scalping dominates the market

S08 | Tim / Trading With Tim | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

The host extrapolates from several visible high-ranking scalpers to a broad market trend. That is a selected platform/interview sample without capital, risk or population denominators. Tim agrees commission changes enabled the style, which is narrower than demonstrated market-wide superiority.

ELI5: A visible group of winners is not the whole population.

S08-P0061 (L54) S08-P0062 (L54) S08-P0064 (L54) S08-P0071 (L54)

Strategy and regime / Evidence and limitations

Look for absorbed selling and bottoming wicks

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He watches repeated buyer support, failed attempts into overhead supply and flushes into a lower zone. He waits for a dip rather than repeatedly buying a rejected top. His description of hidden orders is inferred from price response, not direct knowledge of all resting liquidity.

ELI5: He buys where selling appears to stop getting traction.

S08-P0057 (L54) S08-P0058 (L54) S08-P0059 (L54) S08-P0065 (L54)

Entries and execution

Planned scalp reward and risk vary with price and context

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He often takes modest cents-per-share moves. Risk near a support dip is usually smaller, but increases for higher-priced stocks. He looks for favorable reward-to-risk while remaining responsive to tape, so the ratio is an initial aim rather than a guaranteed realized payoff.

ELI5: The stop distance must fit the move he expects.

S08-P0059 (L54) S08-P0067 (L54) S08-P0068 (L54) S08-P0075 (L54) S08-P0118 (L54) S08-P0119 (L54)

Numbers

  • Value
    10 to 20 cents
    Context
    usual quick profit amount
    Ref
    S08-P0059 (L54)
    Source excerpt
    10 20 cents
  • Value
    5 to 10 cents
    Context
    usual risk description
    Ref
    S08-P0068 (L54)
    Source excerpt
    within 5 cents maybe 10 cents
  • Value
    20 to 30 cents
    Context
    higher-priced-stock risk alternative
    Ref
    S08-P0068 (L54)
    Source excerpt
    20 30 cents
  • Value
    three to one
    Context
    preferred prospective reward/risk
    Ref
    S08-P0068 (L54)
    Source excerpt
    three to one profit to loss

Exits and adjustments / Losses and survival

Tape deterioration can trigger an early scratch before a later reentry

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Selling prints and thinning bids can prompt an exit near flat; he may then rebuy lower if conditions improve. He calls this recycling, distinct from adding to a losing position without exiting. No fixed tape threshold is supplied.

ELI5: He can leave and try again instead of holding through the drop.

S08-P0068 (L54) S08-P0069 (L54) S08-P0117 (L54)

Testing and automation

Record fast decisions because memory cannot retain them

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He endorses screen review like athletic game film because he takes too many rapid trades to remember them accurately. The host suggests examining tape before major drops; the claim that a repeated appearance ensures the same future outcome is not demonstrated.

ELI5: Replay shows details a busy trading memory loses.

S08-P0069 (L54) S08-P0070 (L54) S08-P0071 (L54)

Learning and review

Whole-dollar undercut and reclaim is his clearest described setup

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

After a stock breaks a whole dollar and holds relatively high, he prefers waiting for a wash below the level, buying near that dip and looking for a rebound/reclaim. It may fail to undercut, in which case other traders can still profit but he misses his preferred version. Half-dollar levels are a weaker variant for him.

ELI5: He buys the shakeout below a familiar price and wants it reclaimed.

S08-P0072 (L54) S08-P0073 (L54) S08-P0074 (L54) S08-P0077 (L54) S08-P0078 (L54) S08-P0081 (L54) S08-P0082 (L54)

Numbers

  • Value
    730 / 710 / 690 / 685
    Context
    captioned hypothetical price path around seven; decimals inferred only from context
    Ref
    S08-P0073 (L54)
    Source excerpt
    730
  • Value
    seven
    Context
    reference level explicitly named
    Ref
    S08-P0073 (L54)
    Source excerpt
    comes down near seven

Entries and execution

The bread-and-butter dip can receive more time than an ordinary scalp

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He qualifies the host immediate-bail summary: a preferred setup may hold below the round number before reclaiming, so he sometimes gives it more time. He may sell at the first retest and rebuy, or hold longer when a large bid/rapid buying appears and the level holds after reclaim. Thus instant exit is not uniform.

ELI5: His best setup has an exception to the fastest bailout.

S08-P0074 (L54) S08-P0078 (L54) S08-P0079 (L54) S08-P0119 (L54)

Entries and execution / Exits and adjustments

Frontside dips are preferred; backside dips need visible demand

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He is explicitly long-only. On the backside he needs convincing dip buying; otherwise he stays with frontside dips. He uses small scalp attempts to assess whether trend is failing, but provides no exact trend-state classifier.

ELI5: A falling stock is not automatically a buy just because it dipped.

S08-P0074 (L54) S08-P0075 (L54)

Strategy and regime

Market orders favor speed but create capacity and slippage limits

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He moved from limits to market orders to avoid missing rapid opportunities. He sizes to liquidity and learns from actual slippage, sometimes using two entry clicks on better setups. His fast exit intention does not prevent a poor market fill in a flush.

ELI5: Speed costs something when the available price moves away.

S08-P0076 (L54) S08-P0077 (L54) S08-P0082 (L54) S08-P0083 (L54) S08-P0118 (L54) S08-P0119 (L54)

Numbers

  • Value
    two clicks
    Context
    current larger-entry approach on good setups
    Ref
    S08-P0083 (L54)
    Source excerpt
    two clicks

Entries and execution / Sizing and exposure

Low float, relative volume and news frame the tape

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He credits Ross Cameron material for locating momentum: low float, high relative volume and some news. He does not deeply rank the headline or dilution because holding periods are short, though he admits he may underweight dilution. His preferred price range is explicit; detailed numerical float/volume thresholds are absent.

ELI5: He narrows the stock first, then reads its tape.

S08-P0080 (L54) S08-P0081 (L54) S08-P0082 (L54)

Numbers

  • Value
    below $20
    Context
    usual upper price preference
    Ref
    S08-P0082 (L54)
    Source excerpt
    below $20 usually
  • Value
    $3 to $10
    Context
    preferred price band
    Ref
    S08-P0082 (L54)
    Source excerpt
    $3 to $10

Strategy and regime

Larger opportunity focus is a current evolution, not his whole history

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He is noticing that a few trades account for much of daily profit and wants to trade less noise with more size on those opportunities. This is a refinement in progress, with no controlled comparison establishing the new approach is superior.

ELI5: He is trying to identify the few trades that matter most.

S08-P0075 (L54) S08-P0076 (L54) S08-P0082 (L54) S08-P0083 (L54) S08-P0093 (L54) S08-P0114 (L54) S08-P0115 (L54)

Sizing and exposure

Execution mistakes can trigger chasing and an outlier loss

S08 | Tim / Trading With Tim | B: Reported experience

Attribution: highunverified self-report

During a beach trip he missed good entries, chased higher, traded wider spreads and spiraled. He says unusually difficult-feeling price action should prompt backing off. The example identifies a behavioral sequence, not proof that location alone caused the loss.

ELI5: A missed good trade became a bad chase.

S08-P0083 (L54) S08-P0084 (L54) S08-P0085 (L54) S08-P0086 (L54)

Numbers

  • Value
    $6,000
    Context
    reported losing day in two hours
    Ref
    S08-P0083 (L54)
    Source excerpt
    in two hours
  • Value
    $6,200
    Context
    approximate earlier largest red day
    Ref
    S08-P0084 (L54)
    Source excerpt
    6200 or something
  • Value
    a dollar a share
    Context
    outlier adverse trade
    Ref
    S08-P0085 (L54)
    Source excerpt
    lost a dollar a share
  • Value
    two grand
    Context
    reported outlier trade loss
    Ref
    S08-P0085 (L54)
    Source excerpt
    two grand in one trade

Entries and execution / Concrete examples

Daily loss limit is mental and adjusted, not a guaranteed broker stop

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He reports a usual loss region around six thousand and says the bad day exceeded his mental comfort. He also describes cutting activity or size after repeated losses in a sharply dropping stock. These controls are personal rules, with no enforced mechanism or precise reset condition.

ELI5: His limits rely on his actions, so they can be exceeded.

S08-P0086 (L54) S08-P0087 (L54) S08-P0117 (L54) S08-P0119 (L54) S08-P0120 (L54)

Numbers

  • Value
    6K
    Context
    usual mental max-loss region
    Ref
    S08-P0086 (L54)
    Source excerpt
    around that 6K Mark
  • Value
    five in a row
    Context
    trigger to reduce size or activity
    Ref
    S08-P0117 (L54)
    Source excerpt
    five five in a row

Losses and survival

Never add to a loser is firmer than his other discretionary rules

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He says he prefers closing and re-entering lower over adding to an underwater position. Other timing and reward decisions remain flexible, particularly for his best setups. No-add and daily-risk discipline are the few rules he tries to keep firm.

ELI5: Re-entry follows an exit; it is not averaging down.

S08-P0116 (L54) S08-P0117 (L54) S08-P0118 (L54) S08-P0119 (L54) S08-P0120 (L54)

Losses and survival

A profitable week can still feel like failure

S08 | Tim / Trading With Tim | B: Reported experience

Attribution: highunverified self-report

He reports a week with several red days yet overall profit and substantial discouragement. Looking at broader results, exercise and a fresh next day help him separate trading from outside life. The host adds separate loss stories that must not be attributed to Tim.

ELI5: The number of red days can distort the feeling of a profitable week.

S08-P0087 (L54) S08-P0088 (L54) S08-P0089 (L54) S08-P0090 (L54) S08-P0091 (L54)

Numbers

  • Value
    four red days
    Context
    reported rough week
    Ref
    S08-P0087 (L54)
    Source excerpt
    four red days in one week
  • Value
    5K overall
    Context
    reported week result despite discouragement
    Ref
    S08-P0087 (L54)
    Source excerpt
    made 5K overall

Psychology and decisions / Learning and review

Discretionary adaptation is his response to changing opportunity

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He dislikes instantly abandoning a style after a short rough period, instead shifting emphasis among setups that appear to work while keeping risk tight. Yet he admits even a week can make him doubt his edge. No statistical deterioration threshold is supplied.

ELI5: Adjust the part that changed instead of reflexively replacing everything.

S08-P0092 (L54) S08-P0093 (L54) S08-P0098 (L54) S08-P0099 (L54) S08-P0107 (L54) S08-P0108 (L54)

Numbers

  • Value
    7,500 or 8,000
    Context
    approximate claimed largest drawdown
    Ref
    S08-P0093 (L54)
    Source excerpt
    7,500 or I think I think I think 8,000

Strategy and regime

Specialization and intense study helped him, with acknowledged costs

S08 | Tim / Trading With Tim | B: Reported experience

Attribution: highunverified self-report

He stayed in low-float momentum stocks rather than repeatedly switching markets, while admitting others may need a different fit. He cut video games and often sacrificed social time, recognizing the obsession became unhealthy. This is a personal history, not proof leisure prevents trading success.

ELI5: Focus saved relearning time, but the effort also had a cost.

S08-P0095 (L54) S08-P0096 (L54) S08-P0097 (L54) S08-P0098 (L54) S08-P0107 (L54) S08-P0108 (L54)

Learning and review

Evaluate educators through complete behavior rather than flashy P&L

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He suggests looking across actual entries/exits, live recordings, track records and marketing claims. He acknowledges that some legitimate traders publish hindsight charts, so the absence of an execution in one post is not proof of fraud. Speculative accusations about cars or asset classes remain opinions.

ELI5: Ask to see decisions and context, not only the money screenshot.

S08-P0100 (L54) S08-P0101 (L54) S08-P0102 (L54) S08-P0103 (L54) S08-P0104 (L54) S08-P0105 (L54) S08-P0106 (L54) S08-P0108 (L54) S08-P0109 (L54) S08-P0110 (L54)

Learning and review / Evidence and limitations

Teaching and transparency also reinforce his own review

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He sells recordings and mentors within Merciless Markets, wanting public results to support those services. Questions from learners make him explain his process again. He believes discretionary adaptation reduces copy risk. His claim that missing losing accounts would be impossible is not an account-completeness audit.

ELI5: Explaining a trade can help the teacher review it too.

S08-P0111 (L54) S08-P0112 (L54) S08-P0113 (L54) S08-P0114 (L54) S08-P0115 (L54)

Strategy and regime

Free recordings and peer contact are learning resources, not audited endorsements

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He points to live streams and recorded days from himself and peers, credits meeting other traders with accelerating learning, and sees their results as motivation. These are recommendations based on his relationships and experience, not an independent ranking of skill.

ELI5: Study real decision sequences and discuss them with peers.

S08-P0121 (L54) S08-P0122 (L54) S08-P0123 (L54)

Learning and review

Persistence should coexist with outside income and realism

S08 | Tim / Trading With Tim | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He advises keeping a job or side income and arranging hours around a narrow trading session instead of assuming immediate full-time income. When challenged about a decade without profitability he expects improvement from focused work but offers no objective stop criterion. Passion is not evidence of positive expectancy.

ELI5: Keep life funded while testing whether skill is improving.

S08-P0124 (L54) S08-P0125 (L54) S08-P0126 (L54) S08-P0127 (L54)

Losses and survival / Learning and review

Longer holding periods arose from inspecting missed continuation

S09 | Humbled Trader | B: Reported experience

Attribution: highunverified self-report

After a conference talk by a swing trader whose name is imperfectly captioned, she reviewed familiar large-cap day trades and noticed multi-day to multi-month follow-through. That motivated studying swings to capture more of a move. Retrospective charts alone do not prove a better entry/exit method.

ELI5: She studied what happened after she had already exited.

S09-P0037 (L43) S09-P0038 (L43) S09-P0039 (L43)

Development / Exits and adjustments

Health and time constraints changed the objective

S09 | Humbled Trader | B: Reported experience

Attribution: highunverified self-report

Vancouver hours, early waking and continuous charts became less sustainable. She wanted market participation during days away from the screen. Covid and pneumonia then prevented day trading for a period, reinforcing an already chosen transition rather than solely causing it.

ELI5: A strategy must fit the life that can actually support it.

S09-P0039 (L43) S09-P0040 (L43) S09-P0041 (L43)

Numbers

  • Value
    4:00 a.m.
    Context
    past early wake routine
    Ref
    S09-P0039 (L43)
    Source excerpt
    wake up at 4:00 a.m.

Strategy and regime / Lifestyle and constraints

Diversify trading styles instead of assuming day trading is permanent

S09 | Humbled Trader | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

She sees day trading as one method and notes separate day/swing accounts can capture different horizons. She does not say all day trading is abandoned forever or that a swing is simply an intraday loser held overnight. Rules governing separate books are not provided.

ELI5: Different holding periods can serve different needs.

S09-P0040 (L43) S09-P0041 (L43) S09-P0044 (L43) S09-P0045 (L43)

Strategy and regime

Part-time beginners are advised toward large-cap swings as her opinion

S09 | Humbled Trader | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

She believes post-2021/2022 small-cap patterns became more erratic and difficult to follow part-time, while large-cap trends are relatively easier. She still observes small caps but says she no longer trades them. This is a contextual preference, not proof that swings are safer or suitable for every beginner.

ELI5: She favors a pace that needs less continuous monitoring.

S09-P0045 (L43) S09-P0046 (L43) S09-P0047 (L43)

Strategy and regime / Learning and review

Tagged strategy attribution informed the transition

S09 | Humbled Trader | B: Reported experience

Attribution: highunverified self-report

She tags day and swing trades and reports most current-year profit came from swings while major drawdowns came from day trades. September onward was mainly swings and felt less stressful. The counterfactual that only swinging would have earned more is her retrospective conclusion, not a controlled comparison with equal risk.

ELI5: Separate each method results before deciding what deserves attention.

S09-P0048 (L43) S09-P0049 (L43) S09-P0050 (L43)

Numbers

  • Value
    280k almost 300K
    Context
    approximate current-year total claim
    Ref
    S09-P0049 (L43)
    Source excerpt
    280k almost 300K
  • Value
    September to November
    Context
    mainly swing period described
    Ref
    S09-P0050 (L43)
    Source excerpt
    from September to onwards till now in November

Strategy and regime / Learning and review

After a large day-trade loss, reduce size before rebuilding

S09 | Humbled Trader | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Her repeated recovery process is to downsize the affected day-trading activity for a minimum interval, journal performance and wait for normal win rate and reward/risk to return before gradually increasing. She expects future drawdowns. Exact cut size, baseline sample, recovery threshold and total loss cap are not given.

ELI5: Restore the process at smaller size before restoring the risk.

S09-P0052 (L43) S09-P0053 (L43) S09-P0054 (L43)

Numbers

  • Value
    at least two weeks
    Context
    reduced-size interval
    Ref
    S09-P0053 (L43)
    Source excerpt
    at least for two weeks
  • Value
    last three years
    Context
    reported use of recovery process
    Ref
    S09-P0054 (L43)
    Source excerpt
    last three years

Sizing and exposure / Losses and survival / Learning and review

Recognize tilt before executing under it

S09 | Humbled Trader | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

She calls herself emotional and rejects eliminating emotion as the goal. Recognizing familiar trigger states lets her stop trading before those emotions affect keyboard decisions. The host drinking anecdote and her joking response are not an alcohol-based trading technique.

ELI5: Feel the emotion away from the trading controls.

S09-P0055 (L43) S09-P0056 (L43) S09-P0057 (L43)

Psychology and decisions

Prior recovery experience lowers uncertainty about setbacks

S09 | Humbled Trader | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

She considers trading comparatively less stressful than her other businesses because a trading loss is her own problem to diagnose. Remembering earlier recoveries supplies a response template. It does not demonstrate that every future drawdown will recover.

ELI5: She has a rehearsed response, not a promise that losses reverse.

S09-P0052 (L43) S09-P0053 (L43) S09-P0054 (L43)

Psychology and decisions

Achievement can be driven by belonging rather than money alone

S09 | Humbled Trader | B: Reported experience

Attribution: highunverified self-report

She connects overwork and successive projects to childhood isolation, immigration and wanting to feel worthy. She recognizes both benefits and costs, actively choosing more personal time through swing trading. The host shares a separate parallel experience; neither is a general diagnosis of traders.

ELI5: Financial success may not answer the personal need behind it.

S09-P0058 (L43) S09-P0059 (L43) S09-P0060 (L43) S09-P0061 (L43) S09-P0062 (L43) S09-P0063 (L43) S09-P0064 (L43) S09-P0065 (L43)

Psychology and decisions / Lifestyle and constraints

Busy calendars are not automatically healthy success

S09 | Humbled Trader | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

She acknowledges liking a full calendar while knowing she should make room for friends and loved ones. The trading-style change is partly a practical intervention in that habit. Closing remarks seek meaning and activities beyond money to avoid empty milestones.

ELI5: Free time is part of what the trading choice should deliver.

S09-P0064 (L43) S09-P0102 (L43) S09-P0103 (L43) S09-P0104 (L43) S09-P0105 (L43)

Lifestyle and constraints

Scanner product began with portability and simplicity problems

S09 | Humbled Trader | B: Reported experience

Attribution: highunverified self-report

As co-founder rather than sole founder, she wanted a web scanner that avoided transferring settings across machines, worked on mobile and provided essential information without a steep setup burden. Her partner built software while she handled feedback, marketing and usage education. This is product background, not proof of trade alpha.

ELI5: A tool should remove work from preparation.

S09-P0067 (L43) S09-P0068 (L43) S09-P0069 (L43) S09-P0070 (L43) S09-P0071 (L43) S09-P0072 (L43) S09-P0073 (L43)

Testing and automation

Essential scanner information is distinct from advanced-feature marketing

S09 | Humbled Trader | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

She lists news, premarket gaps, custom small/large-cap filters, institutional/insider ownership and short percentage. She argues many traders need only a subset of expensive features. Those features are capability claims in a promotional discussion, not the exact filter settings of her swing strategy.

ELI5: Having useful fields is not the same as having a tested trading rule.

S09-P0074 (L43) S09-P0075 (L43) S09-P0076 (L43)

Testing and automation

Pricing and product roadmap are historical and partially unclear

S09 | Humbled Trader | E: Unclear or conflicting

Attribution: highunclear or conflicting transcript

The interview states a monthly price but gives an implausible captioned annual figure. Price and indicator alerts, watchlists and integrated research are described as planned, not all present. She acknowledges bugs after fast launch. Do not present any of these as current product facts.

ELI5: Separate what existed then from what was planned.

S09-P0074 (L43) S09-P0076 (L43) S09-P0077 (L43) S09-P0078 (L43) S09-P0079 (L43) S09-P0080 (L43)

Numbers

  • Value
    $70 a month
    Context
    historical quoted monthly price
    Ref
    S09-P0074 (L43)
    Source excerpt
    $70 a month
  • Value
    $5.99
    Context
    literal annual-price caption, uncertain
    Ref
    S09-P0074 (L43)
    Source excerpt
    $5.99 for the whole year

Testing and automation

Alerts and consolidated research are intended to support a slower process

S09 | Humbled Trader | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

She wants watchlists and indicator alerts alongside news/scans and filings so she can follow swing candidates without juggling platforms. This is a workflow aspiration; no exact alert condition or automated execution is supplied.

ELI5: Let the tool tell you when a candidate needs attention.

S09-P0077 (L43) S09-P0078 (L43)

Testing and automation

Scale-up is planned only after a testing year and favorable context

S09 | Humbled Trader | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

She calls the current year a period of testing and tracking different swing ideas, then hopes to narrow to one or two and increase size if the uptrend continues. This qualifies any impression that the interview presents a settled all-regime swing system.

ELI5: She is still deciding what to scale and under what market conditions.

S09-P0082 (L43)

Strategy and regime / Sizing and exposure / Testing and automation

Public verification followed private tracking and a negative comment

S09 | Humbled Trader | B: Reported experience

Attribution: highunverified self-report

She had a private profile before making it public while discussing a drawdown. She wanted both losses and gains visible, including Chinese-stock losses. Going public was partly an emotional response during simultaneous business difficulties, not proof those difficulties or results were absent.

ELI5: A public switch changes visibility, not the underlying trading history.

S09-P0085 (L43) S09-P0086 (L43) S09-P0087 (L43) S09-P0088 (L43) S09-P0089 (L43) S09-P0090 (L43)

Development

Profitability and teaching ability are different criteria

S09 | Humbled Trader | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

She says the largest earners need not be the best teachers and denies making public results solely as a marketing tactic, while recognizing others may use them that way. A performance record cannot by itself rank teaching completeness or future returns.

ELI5: A good record and a good explanation answer different questions.

S09-P0091 (L43) S09-P0092 (L43)

Learning and review / Evidence and limitations

Anticipated transparency pressure did not match her experience

S09 | Humbled Trader | B: Reported experience

Attribution: highunverified self-report

She feared criticism and unwanted attention, but reports little added pressure after going public and wishes she had done it sooner. This is her experience with privacy and social media, not a requirement that every trader reveal accounts.

ELI5: The feared response was worse than the response she encountered.

S09-P0093 (L43) S09-P0094 (L43)

Psychology and decisions

Tradable promotional volatility is not ethical approval

S09 | Humbled Trader | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

She welcomes larger moves that promotional attention creates, but explicitly says she would not promote that way and considers it morally wrong. The distinction concerns trading opportunities versus conduct, not an accusation of specific unlawful acts.

ELI5: She can trade the reaction without endorsing the promotion.

S09-P0095 (L43) S09-P0096 (L43) S09-P0097 (L43)

Strategy and regime

Peer process and support matter beyond wealth comparison

S09 | Humbled Trader | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

She values data-driven thinking from Stephen Dux, swing inspiration, friends encouragement and listening to other traders processes. Community supplies positive competition and new questions rather than a guaranteed strategy transplant. Several names are imperfectly captioned and should not be silently completed.

ELI5: Other traders can improve both questions and morale.

S09-P0098 (L43) S09-P0099 (L43) S09-P0100 (L43) S09-P0101 (L43) S09-P0102 (L43) S09-P0103 (L43)

Learning and review

Start coachable, then refine an established method

S10 | Mike Huddie | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He favors learning from a trusted mentor and resisting ego-driven reinvention before understanding the existing approach. His analogy also allows later refinement to personal circumstances. He names Tim Grittani as an influence on first-red-day shorts and values visible trading records.

ELI5: Understand the working example before redesigning it.

S10-P0049 (L58) S10-P0050 (L58) S10-P0051 (L58) S10-P0074 (L58) S10-P0075 (L58)

Development / Learning and review

A former core pattern can remain tradable but lose priority

S10 | Mike Huddie | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

First-red-day shorts dominated earlier years, then became less frequent and more squeeze-prone. He still trades selected examples but no longer treats the pattern as his bread and butter. Entry at the open versus prior highs may matter even when the name of the pattern is unchanged.

ELI5: Keep the pattern name separate from its current execution edge.

S10-P0051 (L58) S10-P0052 (L58) S10-P0053 (L58) S10-P0059 (L58)

Entries and execution

Net-of-slippage data weakened his overextended gap-down thesis

S10 | Mike Huddie | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He says his defined overextended gap-down trades are now roughly breakeven unless executed nearly perfectly, after slippage. This is specific to his definition and dataset, which are not supplied, rather than proof all first-red-day shorts fail.

ELI5: A visually convincing setup can lose its edge after trading friction.

S10-P0053 (L58) S10-P0054 (L58) S10-P0059 (L58)

Strategy and regime

Diagnose bad execution versus a broken pattern

S10 | Mike Huddie | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Track average win, loss, win rate and equity behavior over months and repeated samples. Ask whether chop is from premature exits or from the pattern itself. He proposes keeping risk tolerable across many attempts so one cannot learn only from a few emotionally large trades.

ELI5: Measure whether the rule failed or your execution changed it.

S10-P0057 (L58) S10-P0058 (L58) S10-P0059 (L58)

Numbers

  • Value
    30 to 50 trades
    Context
    illustrative survivable evaluation sequence
    Ref
    S10-P0058 (L58)
    Source excerpt
    3040 50 times
  • Value
    50 trades
    Context
    illustrative evaluation endpoint
    Ref
    S10-P0058 (L58)
    Source excerpt
    at the end of 50 trades

Learning and review / Testing and automation

Tightest stop plus maximum size may remove the trader too early

S10 | Mike Huddie | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He argues that large size anchored to very tight risk can be whipped out even when the later expected fade occurs. Smaller size with a more appropriate price-risk zone may better fit the pattern. He is not saying to widen stops after entry or accept unlimited account risk.

ELI5: The stop must fit the stock; size must fit the stop.

S10-P0055 (L58) S10-P0056 (L58) S10-P0058 (L58)

Sizing and exposure / Testing and automation

Unknown causes need not be replaced with a confident story

S10 | Mike Huddie | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He admits not knowing whether algorithms or more short sellers changed prior levels reliability. He concentrates on observed behavior, expected path and risk rather than asserting manipulation as fact.

ELI5: Trade what you can measure without inventing why it changed.

S10-P0060 (L58) S10-P0061 (L58)

Psychology and decisions

Trading plans include waiting and either time or price exits

S10 | Mike Huddie | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He describes a setup, entry trigger and expected cover at a price or time. Waiting instead of repeatedly acting matters; he questions rote slogans such as always adding to winners when adopted without context. Exact time/price rules for his current trades are not supplied.

ELI5: A plan is more than pressing more buttons.

S10-P0061 (L58) S10-P0062 (L58)

Entries and execution / Psychology and decisions

Direction bias changed across distinct regimes

S10 | Mike Huddie | B: Reported experience

Attribution: highunverified self-report

He says early profitability came largely from first-red-day shorts; in 2020-2021 apparent failures recovered, overnight demand was strong and even offerings did not stop gains, so he became mainly long. In 2022 breakouts and offerings hurt longs while old shorts also stalled, prompting a new review.

ELI5: He changed direction when the repeated behavior changed.

S10-P0063 (L58) S10-P0064 (L58) S10-P0065 (L58)

Numbers

  • Value
    $7,000 and minus $7,000 months
    Context
    illustrative stagnation period
    Ref
    S10-P0065 (L58)
    Source excerpt
    $7,000 months and then minus $7,000 months

Strategy and regime

Current gap-fade focus combines frequency with planned evaluation

S10 | Mike Huddie | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

For the current year he researched gap percentages, usual spikes and trend breaks leading to all-day fades. He reports mixed but net positive results and wants a full-year record before deciding whether to continue. A qualified frequent setup also reduces searching for unsupported trades, though busyness alone is not evidence of edge.

ELI5: Keep an evidence-backed focus, then assess the whole period.

S10-P0065 (L58) S10-P0066 (L58) S10-P0067 (L58) S10-P0068 (L58)

Testing and automation

Three core families are not equally active

S10 | Mike Huddie | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Gap-and-crap shorts are the main current family. First-red-day shorts and some breakouts are taken selectively at the best quality. No universal entry, stop or target is supplied for any family in this interview.

ELI5: The headline three patterns are a hierarchy, not three complete recipes.

S10-P0066 (L58) S10-P0067 (L58) S10-P0068 (L58)

Strategy and regime / Evidence and limitations

Transparency supports an educational choice, with commercial context

S10 | Mike Huddie | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Clover uses third-party records to differentiate education and allow learners to inspect trades, equity and reward/risk rather than only selected social posts. He sees this as supporting confidence and backtracking what he teaches. The interview is not an independent audit of completeness.

ELI5: Students can compare teaching claims with visible actions.

S10-P0070 (L58) S10-P0071 (L58) S10-P0072 (L58)

Learning and review

Lifestyle impressions are a personal mentor filter, not proof

S10 | Mike Huddie | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He considers likability, routines, health and whether one aspires to the person, then considers trading style and transparent records. Visible presentation cannot establish skill or honesty; that limitation should remain clear when preserving his advice.

ELI5: Personal fit can help learning, but appearance cannot verify results.

S10-P0073 (L58) S10-P0074 (L58) S10-P0075 (L58)

Development / Evidence and limitations

A selective event can still resemble an old first-red-day pattern

S10 | Mike Huddie | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He cites GME after successive green days, a first gap down and a scheduled media event as an example where older sell-the-news teaching remains relevant. This qualifies his reduced confidence in ordinary first-red-day trades. He does not supply actual fills or outcome for this example.

ELI5: A weakened general pattern can still have stronger special cases.

S10-P0076 (L58) S10-P0077 (L58)

Numbers

  • Value
    third Green Day
    Context
    example sequence context
    Ref
    S10-P0076 (L58)
    Source excerpt
    third Green Day gapping down

Strategy and regime

Promotional attention offers traders opportunity while harming story-followers

S10 | Mike Huddie | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He personally benefits from range and volume around hype events, but warns novices who buy out of belief in an online figure can lose badly. His comments on specific personalities and positions are impressions and unverified claims; he does not claim a net social benefit.

ELI5: Trade the behavior rather than believing the personality.

S10-P0077 (L58) S10-P0078 (L58) S10-P0079 (L58) S10-P0080 (L58) S10-P0081 (L58)

Strategy and regime

Learn the hot-stock lifecycle before choosing a setup

S10 | Mike Huddie | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He suggests first identifying active stocks, then observing first interest, peak/exhaustion, backside bounces, lower highs and eventual loss of attention. Choose the phase one understands rather than staring at irrelevant stocks. It is a conceptual framework, not a claim every stock follows a fixed path.

ELI5: Find the active story, then choose the chapter you can trade.

S10-P0082 (L58) S10-P0083 (L58) S10-P0084 (L58) S10-P0085 (L58)

Strategy and regime / Learning and review

Constant dollar risk means varying share count with stop distance

S10 | Mike Huddie | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He keeps intended dollar loss consistent even when price distance differs, then evaluates reward relative to that loss. A wide setup may offer poor reward after sizing and should not be treated equally attractive just because the dollar risk matches. Actual losses can exceed planned risk through gaps/slippage.

ELI5: Different stop distances need different position sizes.

S10-P0085 (L58) S10-P0086 (L58) S10-P0087 (L58) S10-P0088 (L58)

Numbers

  • Value
    30 cents versus $150
    Context
    literal captioned price-distance comparison; second value likely corrupted
    Ref
    S10-P0086 (L58)
    Source excerpt
    30 cents sometimes I'll be risking a $150
  • Value
    one R versus three R
    Context
    illustrative reward/risk
    Ref
    S10-P0087 (L58)
    Source excerpt
    lose one R but if I win I'll make three R

Sizing and exposure / Losses and survival

Start a study with a simple universe and path measurements

S10 | Mike Huddie | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

For gap fades he proposes selecting a gap-size cohort, then measuring average open-to-high move, expected spike and whether a wider stop would be touched before the close. He is asking where to position within a path distribution, not just whether the stock ends red. He supplies candidate percentages rather than one adopted threshold.

ELI5: Measure how far it can go against you before the hoped-for fade.

S10-P0088 (L58) S10-P0089 (L58) S10-P0090 (L58)

Numbers

  • Value
    50%, 100%, 200%
    Context
    candidate research cohorts, not fixed rules
    Ref
    S10-P0089 (L58)
    Source excerpt
    50% gappers do I want to see 100% gappers do I want to see 200% gappers

Losses and survival

Setup-level accounting revealed a concentrated source of profit

S11 | Kyle Williams | B: Reported experience

Attribution: highunverified self-report

After previously tracking broad listed/OTC and long/short categories, Kyle retrospectively assigned trades to setups and updates the attribution quarterly or every few months. He reports first-red-day shorts produced roughly two of five million career profits, while no other setup had reached one million. This is personal outcome attribution, not a population backtest.

ELI5: Find which exact trade family earned the money.

S11-P0055 (L63) S11-P0056 (L63)

Numbers

  • Value
    two of five million
    Context
    reported historical first-red-day contribution
    Ref
    S11-P0055 (L63)
    Source excerpt
    two of the 5 million
  • Value
    40%
    Context
    approximate career contribution
    Ref
    S11-P0056 (L63)
    Source excerpt
    40% of of my career

Learning and review

First red day means a behavior change after a multiday run

S11 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He looks for the first weakness after consecutive green days and a large cumulative advance. No morning spike after repeated spikes or a first gap down after repeated gap ups are relevant changes relative to that individual stock. They are contextual cues, not a complete universal trigger.

ELI5: Watch for the runner to stop behaving as it did before.

S11-P0055 (L63) S11-P0059 (L63) S11-P0060 (L63)

Numbers

  • Value
    two to five green days
    Context
    illustrative run sequence
    Ref
    S11-P0055 (L63)
    Source excerpt
    two three four five green days in a row

Strategy and regime / Entries and execution

Profit attribution is not statistical validation of the setup

S11 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

When the host assumes detailed underlying statistics, Kyle explicitly says he has not tracked average run or average red-day behavior. His expected fade scales with the prior rise as an experienced visual judgment. The narrated ranges cannot be treated as proven targets or probabilities.

ELI5: Knowing your profits by pattern does not prove every pattern instance works.

S11-P0058 (L63) S11-P0059 (L63)

Numbers

  • Value
    10 to 20%
    Context
    mental expected red-day range after smaller run, not measured edge
    Ref
    S11-P0058 (L63)
    Source excerpt
    10 to 20% Rend day
  • Value
    30%
    Context
    mental red-day expectation after larger run, not validated target
    Ref
    S11-P0059 (L63)
    Source excerpt
    30% red day

Evidence and limitations

The checklist is comparative and incompletely specified

S11 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He mentions around ten to fifteen indicators involving gaps, morning spikes and volume, with each runner having its own habitual behavior. The interview does not enumerate all cues, their weights or an entry threshold.

ELI5: The missing checklist cannot be reconstructed from a few examples.

S11-P0059 (L63) S11-P0060 (L63)

Numbers

  • Value
    10 to 15
    Context
    approximate cue count
    Ref
    S11-P0060 (L63)
    Source excerpt
    10 to 15 indicators

Evidence and limitations

Studying missed and historical opportunities expanded pattern exposure

S11 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He attributes recognition to many charts, including trades he missed and videos recorded before he traded. This is broader observation than reviewing only his own winners, although no formal unbiased sample is shown.

ELI5: Learn from opportunities you did not personally trade.

S11-P0061 (L63)

Learning and review

More profitable setups can still dilute attention

S11 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He expanded from a few setups to roughly twice as many over his career, but considers over-diversification a problem when a secondary idea distracts from a proven one. The same breadth can create a daily itch to trade rather than allowing no-trade days.

ELI5: Having more choices can make you miss your best choice.

S11-P0062 (L63) S11-P0063 (L63) S11-P0082 (L63) S11-P0083 (L63)

Numbers

  • Value
    four to five, then ten to twelve
    Context
    approximate setup expansion
    Ref
    S11-P0062 (L63)
    Source excerpt
    four to five setups
  • Value
    10 to 12
    Context
    later setup count
    Ref
    S11-P0062 (L63)
    Source excerpt
    10 to 12

Strategy and regime

He sees first-red-day principles as persistent with execution changes

S11 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Kyle says the broad behavior-change concept remains similar, though overextended gap downs have become less common in his observation. This differs from another trader reporting weaker expectancy under a specific definition; neither is a universal test.

ELI5: A familiar idea can remain useful while its best expression changes.

S11-P0063 (L63) S11-P0064 (L63) S11-P0065 (L63)

Strategy and regime

A red candle is not necessarily a red day

S11 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

A stock can gap up sharply, fade to its prior close and still hold there. Shorting that level solely because the intraday candle is red may enter the daily bottom; the actual first red day can occur later. This distinction prevents confusing open-to-current weakness with prior-close-to-current weakness.

ELI5: Falling from the open does not mean falling below yesterday.

S11-P0064 (L63) S11-P0065 (L63)

Losses and survival

The FFIE loss combined early timing with high conviction

S11 | Kyle Williams | B: Reported experience

Attribution: highunverified self-report

The host locates the event on May 16. Kyle describes being weeks too early despite the stock eventually reaching his expected lower price. Correct eventual direction did not protect a leveraged or time-sensitive position on the wrong path.

ELI5: Being right later does not pay for being unable to survive today.

S11-P0066 (L63) S11-P0067 (L63) S11-P0074 (L63)

Numbers

  • Value
    two to three weeks
    Context
    reported timing error
    Ref
    S11-P0067 (L63)
    Source excerpt
    two to three weeks early
  • Value
    nearly $400,000
    Context
    reported FFIE loss
    Ref
    S11-P0074 (L63)
    Source excerpt
    nearly 400 Grand

Entries and execution / Losses and survival

Missed-profit frustration can produce revenge trading while still green

S11 | Kyle Williams | B: Reported experience

Attribution: highunverified self-report

He had made good money on GME and AMC but felt it should have been more. He wanted FFIE to compensate for those imagined missed profits, showing that a positive week can still generate emotionally distorted risk-taking.

ELI5: You can chase money you never actually lost.

S11-P0068 (L63) S11-P0069 (L63)

Psychology and decisions

Past self-enforcement did not guarantee enforcement in the next crisis

S11 | Kyle Williams | B: Reported experience

Attribution: highunverified self-report

After respecting his personal last-resort stop repeatedly over a long period, Kyle believed he did not need an external backstop. Extreme conviction and poor timing overwhelmed that discipline on FFIE. He says a broker or another person needed to force the exit; the transcript does not confirm the exact newly installed control or threshold.

ELI5: A rule in your head can fail exactly when you need it most.

S11-P0069 (L63) S11-P0070 (L63) S11-P0071 (L63) S11-P0072 (L63)

Numbers

  • Value
    one and a half to two years
    Context
    approximate period respecting personal stop
    Ref
    S11-P0070 (L63)
    Source excerpt
    two years a year and a half

Losses and survival / Psychology and decisions

Earlier escapes can conceal how close the account came to disaster

S11 | Kyle Williams | B: Reported experience

Attribution: highunverified self-report

He recalls a ticker captioned I lag / IL a, likely ILAG but uncertain, with about half a million unrealized loss before he had a personal max stop. He calls the eventual escape gambling and luck. HKD also produced a large loss that later recovery made visually small.

ELI5: A recovered trade can still reveal a broken risk process.

S11-P0074 (L63) S11-P0075 (L63)

Numbers

  • Value
    half a million
    Context
    reported peak unrealized loss on uncertain ticker
    Ref
    S11-P0074 (L63)
    Source excerpt
    down about half a million

Losses and survival

Profitable weeks can hide a severe individual-trade loss

S11 | Kyle Williams | B: Reported experience

Attribution: highunverified self-report

A conviction dip buy in MMNFF in February 2021 lost about ninety thousand. Other profits reduced that day to roughly fifty thousand down, and the week ended positive by six figures. Smooth aggregate results therefore do not establish low trade-level risk.

ELI5: A good total can hide one very dangerous part.

S11-P0076 (L63) S11-P0077 (L63) S11-P0078 (L63)

Numbers

  • Value
    $90,000
    Context
    reported MMNFF loss
    Ref
    S11-P0076 (L63)
    Source excerpt
    lost $90,000
  • Value
    $50,000
    Context
    reported net daily loss
    Ref
    S11-P0077 (L63)
    Source excerpt
    50k on the day
  • Value
    $40,000
    Context
    other gains offsetting loss
    Ref
    S11-P0077 (L63)
    Source excerpt
    up 40K elsewhere

Losses and survival

Defense begins with price invalidation translated into money

S11 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Every entry should have a stop price and a dollar amount one is willing to lose there. Kyle also asks what a string of losses does to the account. The percentages mentioned are stress-test examples, not his adopted per-trade risk policy.

ELI5: Know the price that proves you wrong and what it will cost.

S11-P0079 (L63) S11-P0080 (L63)

Numbers

  • Value
    five losses
    Context
    proposed losing-streak stress scenario
    Ref
    S11-P0079 (L63)
    Source excerpt
    five losses in a row
  • Value
    5%, 10%, half the account
    Context
    illustrative impacts, not recommendations
    Ref
    S11-P0080 (L63)
    Source excerpt
    5% of your account 10% of your account half your account

Sizing and exposure / Testing and automation

Risk controls must address repeated cuts and one exceptional failure

S11 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He separates the damage of ordinary losing sequences from a black-swan situation when a trader refuses to exit. An external enforcement layer addresses a different failure from merely having a normal stop plan. No precise daily-loss limit is stated.

ELI5: Protect against many small mistakes and one huge refusal.

S11-P0080 (L63) S11-P0081 (L63)

Losses and survival

Not trading is an active form of defense

S11 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Kyle wants to recover his earlier willingness to skip days when he feels unready or nothing qualifies. More recognized setups make it easier to rationalize action. He does still take days off, so the description is a tendency rather than a claim of literally daily trading.

ELI5: No valid opportunity means no need to take risk.

S11-P0081 (L63) S11-P0082 (L63) S11-P0083 (L63)

Strategy and regime

Future lifestyle goals shape his motivation more than a fixed profit finish line

S11 | Kyle Williams | B: Reported experience

Attribution: highunverified self-report

He describes a future home, children and inflation concerns as reasons he keeps trading despite substantial wealth. These are personal motives, not a financial sufficiency calculation. The host separately says buying an apartment preserved some earlier profits; that experience should not be attributed to Kyle.

ELI5: Enough money depends on the life someone is planning.

S11-P0084 (L63) S11-P0085 (L63) S11-P0086 (L63)

Sizing and exposure

Public recaps serve learning as well as teaching

S11 | Kyle Williams | B: Reported experience

Attribution: highunverified self-report

Inspired by Tim Grittani, he began public recaps around 2019. He values community contribution, teaching and revisiting his own reflections to relearn lessons and process losses. He also admits the preparation and long recordings consume energy.

ELI5: Explaining your decisions gives you a record to learn from later.

S11-P0088 (L63) S11-P0089 (L63) S11-P0090 (L63) S11-P0091 (L63)

Learning and review

Third-party records can double-check personal accounting

S11 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He uses the platform both as evidence for an educator and as a comparison against his own tracked numbers. Automated importing reduces manual work. His claim that records match is not an independent audit of account coverage or methodology.

ELI5: Compare your own ledger with a separate source.

S11-P0092 (L63) S11-P0093 (L63)

Testing and automation

High win-rate claims need a search for what is missing

S11 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Kyle treats very high advertised win rates as a red flag rather than mathematical impossibility. He acknowledges such traders might exist. The missing loss size, open risk and complete records matter more than his rhetorical why-not-a-billionaire question.

ELI5: Frequent small wins can hide rare very large losses.

S11-P0094 (L63) S11-P0095 (L63)

Numbers

  • Value
    95%
    Context
    illustrative advertised rate he questions
    Ref
    S11-P0094 (L63)
    Source excerpt
    95% R rate

Evidence and limitations

A live-looking clip is incomplete without both entry and exit

S11 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He questions accounts that show a trade entry or exit but never the full trade. Flashy presentation is also a personal warning sign, but he says actual verified results can overturn that first impression.

ELI5: Ask to see the whole trade rather than the most flattering moment.

S11-P0095 (L63) S11-P0096 (L63) S11-P0097 (L63)

Strategy and regime / Evidence and limitations

Promotional activity can add attention without becoming ethically desirable

S11 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He allows that scams can lead some people toward legitimate educators and that promoters bring market attention, but explicitly says the harm generally outweighs the good and they need not exist. He also says following chatroom trades is not a recurring setup of his.

ELI5: An activity can create volume and still be harmful.

S11-P0097 (L63) S11-P0098 (L63) S11-P0099 (L63) S11-P0100 (L63) S11-P0101 (L63)

Strategy and regime

The old OTC learning route became much less available

S11 | Kyle Williams | B: Reported experience

Attribution: highunverified self-report

Earlier trading was dominated by OTC stocks; now listed stocks dominate. OTC promotional shorts were his second major historical profit family, distinct from China liquidation plays. He does not offer the old OTC breakout as a reliable current beginner route because opportunities are rare.

ELI5: Do not copy a learning path whose opportunities have disappeared.

S11-P0056 (L63) S11-P0057 (L63) S11-P0102 (L63) S11-P0103 (L63)

Numbers

  • Value
    90% OTC initially
    Context
    approximate former mix
    Ref
    S11-P0102 (L63)
    Source excerpt
    otc's 90% of the time
  • Value
    5% OTC and 95% listed later
    Context
    approximate later mix
    Ref
    S11-P0103 (L63)
    Source excerpt
    otc's maybe 5% of the time and 95% are listed

Strategy and regime

His best setup is not automatically a beginner recommendation

S11 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Although first-red-day shorts earned him most, he flags the extra short-side nuances. He suggests very small exploratory trades across candidate approaches, then narrowing toward evidence of fit. His account and loss example is illustrative, not a proven risk percentage or encouragement to indiscriminately trade everything.

ELI5: Explore cheaply before specializing or sizing up.

S11-P0101 (L63) S11-P0102 (L63) S11-P0103 (L63) S11-P0104 (L63) S11-P0105 (L63)

Numbers

  • Value
    $5,000 account and $5 risk
    Context
    illustrative small-risk exploration
    Ref
    S11-P0104 (L63)
    Source excerpt
    $5,000 account you got to lose like $5 a trade
  • Value
    $25
    Context
    illustrative favorable winner
    Ref
    S11-P0104 (L63)
    Source excerpt
    25 bucks

Learning and review

Accept controlled losses while rejecting uncontrolled ones

S11 | Kyle Williams | B: Reported experience

Attribution: highunverified self-report

The key beginner mistake he identifies is treating all losses as bad. Small planned losses preserve learning opportunities; uncontrolled losses can rapidly destroy the account. In his own early account he reports a large cumulative drawdown despite emphasizing small trade-level losses, and the uncertain loss amount is preserved.

ELI5: A small planned loss pays for information; an uncontrolled loss can end learning.

S11-P0106 (L63) S11-P0107 (L63) S11-P0108 (L63) S11-P0109 (L63) S11-P0110 (L63)

Numbers

  • Value
    $6,000
    Context
    reported initial E Trade account
    Ref
    S11-P0108 (L63)
    Source excerpt
    $6,000 E Trade account
  • Value
    $4,300 to $4,400
    Context
    uncertain reported cumulative loss at trough
    Ref
    S11-P0108 (L63)
    Source excerpt
    lost about 4,400 or 4,300
  • Value
    six months
    Context
    reported recovery time
    Ref
    S11-P0108 (L63)
    Source excerpt
    within six months

Losses and survival / Learning and review

Reported profit coverage is incomplete by his account

S12 | Dom (Dominic; Dom_Mastro10) | E: Unclear or conflicting

Attribution: highsource claim with coverage qualification

Host and description cite roughly $1.7M, and Dom says older E-Trade history is not fully trackable so actual career profits were higher. This is a source explanation, not an independently reconciled account. The long-only title also oversimplifies a career including shorts.

ELI5: The displayed total and the whole career are different.

S12-P0001 (L1) S12-P0014 (L16) S12-P0055 (L67) S12-P0056 (L67) S12-P0066 (L67)

Numbers

  • Value
    $1.7M
    Context
    headline/source total
    Ref
    S12-P0014 (L16)
    Source excerpt
    $1.7 million

Evidence and limitations

Removing losing side activities exposed a profitable core

S12 | Dom (Dominic; Dom_Mastro10) | B: Reported experience

Attribution: highreported experience

After an initially unprofitable period he restricted himself to one pattern for over a year and cut other activities that offset its gains. The lesson is to use records to remove specific drags, not assume more strategies mean more profit.

ELI5: Stop doing the things that erase your good trades.

S12-P0057 (L67) S12-P0058 (L67) S12-P0059 (L67) S12-P0060 (L67)

Numbers

  • Value
    about ten months
    Context
    initial unprofitable period
    Ref
    S12-P0057 (L67)
    Source excerpt
    unprofitable for about 10 months
  • Value
    over one year
    Context
    single-pattern focus
    Ref
    S12-P0058 (L67)
    Source excerpt
    one pattern for probably a little over a year

Development

Changes should be evaluated rather than merely acknowledged

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He suggests temporarily cutting a costly behavior or pattern, observing results, and only then studying additions. Recognizing mistakes without applying changes is insufficient. The example evaluation windows are suggestions, not statistical guarantees.

ELI5: A lesson counts when behavior changes.

S12-P0057 (L67) S12-P0059 (L67)

Learning and review

2019 OTC contraction forced adaptation

S12 | Dom (Dominic; Dom_Mastro10) | B: Reported experience

Attribution: highreported experience

He was long-biased in OTC for his first years, then describes a collapse in liquidity, attention and runners in 2019. Another unprofitable stretch followed while translating familiar patterns to listed stocks.

ELI5: A working pattern still needs a living market.

S12-P0061 (L67) S12-P0062 (L67)

Development / Strategy and regime

Adapt strengths incrementally when possible

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He prefers small adjustments to a known strength because large changes can resemble starting profitability from scratch. Listed-stock nuances differed from OTC even for similar breakout concepts.

ELI5: Change the useful skill before abandoning it.

S12-P0062 (L67) S12-P0063 (L67) S12-P0064 (L67)

Learning and review

Multi-day breakout begins with survival after a strong run

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

His core long setup starts with a large multi-day advance followed by consolidation below the established high, then renewed momentum. Most day-one watchlist names fail to reach this stage, so the surviving base is a filter.

ELI5: Wait to see which runner can hold together.

S12-P0064 (L67) S12-P0065 (L67)

Strategy and regime

Volume, theme and regime determine setup quality

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He calls the pattern his most feel-based despite having statistics. Type of volume, relevant sector/theme and what is currently working influence selection. It struggled in parts of 2022-2023 and worked better recently in 2024.

ELI5: A chart shape alone is not his full signal.

S12-P0065 (L67) S12-P0066 (L67) S12-P0067 (L67)

Strategy and regime

Consolidation defines invalidation but entry is an art

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He uses the base to identify a death line where the front-side thesis fails. He prefers entering before resistance rather than at the most volatile breakout level and may add as resistance breaks. Exact death-line construction, add size and order logic remain undisclosed.

ELI5: Define where the idea fails before chasing the busy breakout.

S12-P0067 (L67) S12-P0068 (L67) S12-P0069 (L67)

Entries and execution / Testing and automation

Consolidation length adapts to current behavior

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He illustrates a large prior move and several days of a tight range, but says one consolidation day then a break was working in the current environment. These are examples, not a requirement that all trades use one fixed duration.

ELI5: The pause can be shorter when the market moves faster.

S12-P0067 (L67) S12-P0068 (L67)

Numbers

  • Value
    $1 to $5; $4-$5 base
    Context
    illustrative chart path
    Ref
    S12-P0067 (L67)
    Source excerpt
    a dollar to five
  • Value
    two-three days
    Context
    illustrative base
    Ref
    S12-P0067 (L67)
    Source excerpt
    two or 3 days
  • Value
    one day
    Context
    currently working pause example
    Ref
    S12-P0068 (L67)
    Source excerpt
    one consolidation day

Strategy and regime

Early entries create overnight fundamental exposure

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He may sit in a position for a day or two before the breakout, but explicitly warns to assess fundamentals and overnight risks. Later he cites offerings, filings and scheduled news as reasons to forgo a tempting swing.

ELI5: Entering early also means carrying risk longer.

S12-P0069 (L67) S12-P0072 (L67) S12-P0121 (L67)

Losses and survival

Short-selling expansion damaged prior risk discipline

S12 | Dom (Dominic; Dom_Mastro10) | B: Reported experience

Attribution: highreported experience

He admits aggressive Chinese-pump shorting in 2022 and into 2023 undermined a risk-first reputation. This is a major exception to the title and a reminder that past discipline did not protect him automatically in another style.

ELI5: A new method exposed old habits to larger danger.

S12-P0066 (L67) S12-P0071 (L67) S12-P0075 (L67) S12-P0076 (L67)

Development / Losses and survival

Risk should be emotionally affordable before it is scaled

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He proposes starting with a dollar loss one can accept without strong emotion, so cutting becomes normal. Dollar examples illustrate individual tolerance rather than a universally appropriate amount. Account fraction is not stated.

ELI5: Make the practice loss small enough to actually take.

S12-P0073 (L67) S12-P0077 (L67)

Sizing and exposure / Psychology and decisions

Oversized risk can turn a planned loss into a catastrophe

S12 | Dom (Dominic; Dom_Mastro10) | B: Reported experience

Attribution: highreported experience

He describes avoiding a roughly $5K loss, holding longer or adding, and producing $50K-$60K losses that require many trades to recover. The emotional unwillingness to realize the original loss is central.

ELI5: The loss you refuse to take can grow much larger.

S12-P0075 (L67) S12-P0076 (L67)

Numbers

  • Value
    $50K-$60K
    Context
    escalated losses
    Ref
    S12-P0076 (L67)
    Source excerpt
    50k loss a 60k loss
  • Value
    20-30 trades
    Context
    approximate recovery burden
    Ref
    S12-P0076 (L67)
    Source excerpt
    20 30 trades away

Losses and survival

Drawdowns damage execution beyond the dollar loss

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

A big loss breaks momentum and requires psychological recovery, unlike routine small losses. He significantly reduced size from 2023 because he no longer trusted his execution.

ELI5: Repairing confidence can take longer than repairing the balance.

S12-P0074 (L67) S12-P0075 (L67) S12-P0118 (L67) S12-P0119 (L67) S12-P0120 (L67)

Losses and survival / Psychology and decisions

Hard stops can temporarily remove discretion

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He recommends hard stops to make loss cutting habitual and uses them especially when away from the screen or during corrective periods. He allows that slippage and overnight gaps can exceed intended amounts; a stop is not guaranteed loss insurance.

ELI5: A preset exit reduces the chance to bargain with yourself.

S12-P0079 (L67) S12-P0080 (L67) S12-P0083 (L67)

Exits and adjustments / Psychology and decisions

Journaling should capture the escalation of feelings

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He suggests recording the emotional sequence as a small loss grows, so the trader recognizes and avoids repeating it. Both disciplined exits and allowing losses to slide can become habits.

ELI5: Record how you talked yourself into staying.

S12-P0081 (L67) S12-P0082 (L67)

Psychology and decisions / Learning and review

Punishment rhetoric must be attributed carefully

S12 | Host and Dom, separated | A: Explicit statement

Attribution: highattributed discussion; no efficacy evidence

Dom discusses corrective consistency periods and trading restrictions. The host introduces physical/food-restriction examples and alcohol coping; these are host commentary, not a demonstrated risk-control method or a recommendation to adopt.

ELI5: Use trading controls, not harmful punishment rituals.

S12-P0079 (L67) S12-P0084 (L67) S12-P0085 (L67) S12-P0124 (L67) S12-P0125 (L67)

Psychology and decisions

A fiduciary-style self-check frames professionalism

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

Dom asks whether a boss or prop firm would fire someone for this behavior. The point is to make cutting risk non-negotiable and avoid adding or overtrading into outsized R losses, even when using ones own money.

ELI5: Treat your own capital as seriously as someone elses.

S12-P0085 (L67) S12-P0086 (L67) S12-P0087 (L67)

Losses and survival

Low win rate makes bounded losses essential

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

The host quotes about 40% wins and Dom accepts that he expects many trades to lose. He seeks asymmetric winners, so ordinary one-R losses are compatible with the method while repeated multi-R losses break its arithmetic. This is not evidence that every 40% system is profitable.

ELI5: Losing often can work only if the payoff math works.

S12-P0087 (L67) S12-P0088 (L67) S12-P0089 (L67) S12-P0091 (L67) S12-P0092 (L67)

Numbers

  • Value
    40%
    Context
    host observed approximate win rate, acknowledged
    Ref
    S12-P0087 (L67)
    Source excerpt
    40%
  • Value
    1R
    Context
    intended normal loss
    Ref
    S12-P0089 (L67)
    Source excerpt
    one R

Losses and survival

Rare large winners fit his temperament

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He prefers holding a bigger picture across days over scalping, and says one or two highly aligned opportunities can offset many small losses. Large R outcomes are possible examples, not fixed targets or average results.

ELI5: His method waits for a few unusually useful winners.

S12-P0090 (L67) S12-P0091 (L67)

Numbers

  • Value
    one-two plays per month
    Context
    key opportunities in his description
    Ref
    S12-P0091 (L67)
    Source excerpt
    one to two plays every month
  • Value
    10-30R
    Context
    possible aligned winner outcomes
    Ref
    S12-P0091 (L67)
    Source excerpt
    10 20 30 to one

Strategy and regime

Peer learning combined different directional skills

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

Clover grew from friendships, conferences and sharing strengths across long and short methods. He lived with Jack Kellogg, taught people locally and later joined education efforts with peers. This provides development context and a commercial teaching connection.

ELI5: Peers need not trade identically to teach each other.

S12-P0092 (L67) S12-P0093 (L67) S12-P0094 (L67)

Development

Teaching followed multiple market cycles

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He says early profits alone did not make him ready to teach; he wanted longer experience including struggle. Public performance transparency is especially important to him as an educator.

ELI5: One good year is not the whole lesson.

S12-P0095 (L67) S12-P0096 (L67) S12-P0097 (L67)

Learning and review / Evidence and limitations

Manual logging complements automatic analytics

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He enters daily figures into a spreadsheet to stay emotionally accountable rather than passively checking later. Automated analytics make broader comparisons easier. His negative-day dollar example illustrates the act of logging, not a separately described trade.

ELI5: Typing the loss forces you to face it.

S12-P0097 (L67) S12-P0098 (L67)

Learning and review / Testing and automation

Break down personal performance along useful dimensions

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He tracks weekday, ticker type, time of day, largest and average wins/losses, win rate over periods, pattern and long versus short. The purpose is identifying actual personal strengths and what to remove.

ELI5: Find where you make money and where you give it back.

S12-P0098 (L67) S12-P0099 (L67) S12-P0100 (L67)

Strategy and regime

Backtest the trader as well as the pattern

S12 | Dom (Dominic; Dom_Mastro10) | B: Reported experience

Attribution: highprocess recommendation and reported association

For a discretionary method, personal execution data matters because generic pattern evidence does not capture judgment. He associates his own drawdowns with lapses in tracking, without claiming formal causality.

ELI5: A good pattern can still be traded badly by you.

S12-P0100 (L67) S12-P0101 (L67)

Learning and review

Promotion creates opportunity and harm at once

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He discusses crowd alignment and inflows improving small-cap opportunities while criticizing damage to followers and industry trust. Specific crowd counts and price paths are informal examples, and he admits being squeezed himself. His zero-sum framing and opinions about personalities remain source views.

ELI5: Crowds can create action without making it safe.

S12-P0103 (L67) S12-P0104 (L67) S12-P0105 (L67) S12-P0106 (L67) S12-P0108 (L67) S12-P0109 (L67) S12-P0110 (L67)

Entries and execution

Forcing quiet periods can impair the next active period

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He describes pushing for returns when the best realistic outcome might be flat, then entering the next hot market with depleted capital and confidence. Evaluating a year rather than a week helps avoid forcing opportunity.

ELI5: Do not damage yourself while waiting for better trades.

S12-P0111 (L67) S12-P0112 (L67) S12-P0113 (L67)

Strategy and regime / Losses and survival / Psychology and decisions

The newer consistency experiment reduced size and narrowed behavior

S12 | Dom (Dominic; Dom_Mastro10) | B: Reported experience

Attribution: highreported experiment and aspirational belief

From late 2023 he worked on smaller size, staying inside the playbook and proving consistent execution. His belief that he should be green every month is an aspiration and self-standard, not a demonstrated guarantee across regimes.

ELI5: A consistency goal is not a promise of monthly profit.

S12-P0114 (L67) S12-P0115 (L67)

Development

Success can breed complacency that needs routine correction

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He attributes later mistakes partly to prior success and large size, and emphasizes watchlists, plans, risk, study and tracking over a long career. Wealth and experience do not eliminate future emotional mistakes.

ELI5: The routine still matters after success.

S12-P0115 (L67) S12-P0116 (L67) S12-P0117 (L67) S12-P0118 (L67) S12-P0119 (L67) S12-P0120 (L67)

Learning and review

Avoiding the mistake is cheaper than repeatedly recovering

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He increasingly evaluates optional overnight risk and other temptations against the next decade rather than a single possible jackpot. The 50/50 phrase is conversational uncertainty, not an estimated event probability.

ELI5: One exciting trade is not worth derailing the career.

S12-P0118 (L67) S12-P0119 (L67) S12-P0120 (L67) S12-P0121 (L67) S12-P0122 (L67)

Psychology and decisions

Post-loss behavior can be worse than the first mistake

S12 | Dom (Dominic; Dom_Mastro10) | B: Reported experience

Attribution: highreported experience

He declined to retrade TOP after a large squeeze because he feared compounding damage, contrasting himself with another traders different response. The distinction reflects personal recovery tolerance, not a universal ban on the symbol.

ELI5: After a bad loss, protect the next decision.

S12-P0123 (L67) S12-P0124 (L67) S12-P0125 (L67) S12-P0126 (L67)

Concrete examples

Cooling-off and broker controls are proposed safeguards

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit recommendations with personal-use limitation

He suggests stopping for a day, prohibiting a symbol, or asking the broker to disable trading temporarily when loss control fails. He also mentions broker max-loss controls but explicitly says he has not personally used that measure. Do not claim these were all deployed in his account.

ELI5: Put a barrier between anger and the next order.

S12-P0124 (L67) S12-P0125 (L67) S12-P0127 (L67)

Losses and survival

Practice a corrective rule until it becomes normal

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He uses month-long or longer consistency challenges to prove adherence to himself, then renews vigilance when bad habits return. Motivation must work for the individual; another traders advice alone is insufficient.

ELI5: Repeat the behavior until it takes less effort.

S12-P0128 (L67) S12-P0129 (L67)

Psychology and decisions

Specialization is personal rather than imitation of a famous trader

S12 | Dom (Dominic; Dom_Mastro10) | A: Explicit statement

Attribution: highexplicit process description

He distinguishes learning pattern names from tailoring preparation and execution to oneself. Track, refine a small basket, and exploit a demonstrated niche while it persists before broadening. He also suggests average winners above two-to-one, without presenting that as sufficient alone.

ELI5: Copy the learning process, then test your own execution.

S12-P0130 (L67) S12-P0131 (L67) S12-P0132 (L67) S12-P0133 (L67) S12-P0134 (L67) S12-P0135 (L67)

Numbers

  • Value
    over 2:1
    Context
    closing average-winner suggestion, not entire system
    Ref
    S12-P0135 (L67)
    Source excerpt
    average winner over two to one

Learning and review

Headline profits do not specify strategy returns

S13 | Host and description | A: Explicit statement

Attribution: highhost/marketing claim

The host and description place Quickbags on the leaderboard with substantial profits. Capital, deposits, drawdowns, costs and trade ledger are absent, so this is source-reported performance rather than proof of the disclosed pattern.

ELI5: A profit total is not a backtest.

S13-P0015 (L17) S13-P0048 (L58)

Numbers

  • Value
    $1.3 million
    Context
    claimed verified trading profits
    Ref
    S13-P0015 (L17)
    Source excerpt
    $1.3 million in verified trading profits
  • Value
    27
    Context
    host stated age
    Ref
    S13-P0048 (L58)
    Source excerpt
    27 years old

Evidence and limitations

Sub-dollar interest rests on range and volume

S13 | Andy (Quickbags) | A: Explicit statement

Attribution: highexplicit process description

Andy likes low-priced names because of their large range and volume, allowing significant percentage movement. He does not say low price by itself creates edge; the host separately notes his own catastrophic losses in this universe.

ELI5: Cheap shares can move a lot in either direction.

S13-P0050 (L58) S13-P0051 (L58)

Strategy and regime

Wait for the first run to settle and create a nearby risk level

S13 | Andy (Quickbags) | A: Explicit statement

Attribution: highexplicit process description

His preferred long setup is a strong prior run followed by a daily-chart base. Consolidation produces a tighter reference for risk before a secondary breakout. The exact invalidation price, buffer and fill method are not given.

ELI5: Wait for a resting place before buying the next push.

S13-P0052 (L58) S13-P0053 (L58)

Entries and execution / Losses and survival

Initial-run and secondary-run trades are distinct variants

S13 | Andy (Quickbags) | A: Explicit statement

Attribution: highexplicit process description

He says one can participate in consolidation during the initial multi-day trend, but personally prefers the chart to settle after the large move and perk up from sideways action. Approximate day counts describe the visual pattern rather than rigid universal filters.

ELI5: The first climb and the second climb are different trades.

S13-P0053 (L58)

Numbers

  • Value
    one to three days
    Context
    initial run example
    Ref
    S13-P0053 (L58)
    Source excerpt
    first one or two three days
  • Value
    two to four days
    Context
    approximate consolidation
    Ref
    S13-P0053 (L58)
    Source excerpt
    three days four days of consolidations

Entries and execution

Keep the framework but move to the active market segment

S13 | Andy (Quickbags) | A: Explicit statement

Attribution: highexplicit process description

The same pattern is applied where momentum currently works. He describes sub-dollar enthusiasm spreading after a leader, then attention shifting toward somewhat higher-priced stocks. Persisting with a pattern in an inactive segment can fail because participation has moved.

ELI5: Use the same tool where people are actually trading.

S13-P0054 (L58) S13-P0055 (L58) S13-P0056 (L58)

Strategy and regime

Holding gains matters more than appearing on a gapper list

S13 | Andy (Quickbags) | A: Explicit statement

Attribution: highexplicit process description

He defines a hot environment through large percentage gains that persist and generate further multi-day runs, rather than stocks that gap and immediately give gains back. This offers a qualitative regime diagnostic, not a numerical scanner.

ELI5: Look for strength that stays.

S13-P0057 (L58) S13-P0058 (L58)

Strategy and regime

A leader can generate sympathy candidates

S13 | Andy (Quickbags) | A: Explicit statement

Attribution: highexplicit process description

He looks for subsequent names as traders seek the next major runner. The transcript gives Fifi, syn and Peggy as caption-rendered examples; exact tickers are not independently established. Sympathy is a candidate-selection concept, not an automatic entry.

ELI5: One popular stock can draw attention to others.

S13-P0054 (L58) S13-P0055 (L58) S13-P0059 (L58)

Strategy and regime

OTC inactivity prompted attention to listed names

S13 | Andy (Quickbags) | B: Reported experience

Attribution: highdated reported market experience

At interview time he calls OTC mostly dead, with occasional isolated activity, and accepts the hosts description of trading Nasdaq/NYSE low-priced names instead. This is a dated observation and not a permanent claim about OTC opportunity.

ELI5: Move attention when the old arena is quiet.

S13-P0061 (L58)

Strategy and regime

A-plus sizing is conditional but unquantified

S13 | Andy (Quickbags) | A: Explicit statement

Attribution: highexplicit opinion

Inspired by Jack Kellogg, he advocates aggressive size in a personally recognized A-plus setup. No account-risk percentage, size cap or objective grade is supplied. The host adds risk-management framing, but this does not turn the statement into a controlled sizing formula.

ELI5: High confidence needs a defined loss limit too.

S13-P0062 (L58) S13-P0063 (L58)

Exceptions

  • No reproducible A-plus definition or quantified risk budget.

Development / Sizing and exposure

Long-only preference is not proof of safe execution

S13 | Andy (Quickbags) | A: Explicit statement

Attribution: highguest preference and host risk discussion

Andy states he mainly takes these trades long and contrasts long invested-capital loss with the open-ended risk of shorts. The host suggests stops permit more capital and mentions offerings. Those comments do not establish guaranteed stop fills or justify large exposure.

ELI5: A smaller theoretical loss ceiling can still wipe out a trade.

S13-P0052 (L58) S13-P0064 (L58)

Losses and survival

Trade logging became an organizational habit

S13 | Andy (Quickbags) | A: Explicit statement

Attribution: highexplicit process description

He uses Kinfo for an understandable equity curve, progress and trade tracking. Convenience and organization explain adoption more than a claim that public verification caused profits.

ELI5: An easy journal is easier to keep using.

S13-P0065 (L58) S13-P0066 (L58)

Learning and review

Leaderboard ranking was not a reported networking advantage

S13 | Andy (Quickbags) | B: Reported experience

Attribution: highreported experience

When asked about benefits from high placement, he says not really and compares it to a game ranking. Do not infer professional opportunity merely from leaderboard position.

ELI5: A rank is a score, not necessarily a business benefit.

S13-P0066 (L58) S13-P0067 (L58)

Psychology and decisions

Tim Sykes praise was misheard as a question about fraud

S13 | Andy (Quickbags) | E: Unclear or conflicting

Attribution: highexplicit correction in conversation

Andy initially answers a guru question by praising Tim Sykes and community. The host clarifies he meant furu, after which both joke. The clip must not be extracted as an allegation that Sykes defrauded him.

ELI5: A joke after a misheard question is not an accusation.

S13-P0048 (L58) S13-P0067 (L58) S13-P0068 (L58)

Development

Community and visible role models supported development

S13 | Andy (Quickbags) | A: Explicit statement

Attribution: highexplicit process description

He credits Tim Sykes teaching and peer community, and says Jack Kellogg showed what was possible and encouraged higher ambition. Jack performance numbers are host statements, not Andys independently substantiated results.

ELI5: Examples and peers helped him learn.

S13-P0062 (L58) S13-P0063 (L58) S13-P0067 (L58)

Development / Learning and review

Promotion-fade shorting is a concept, not his main playbook

S13 | Andy (Quickbags) | A: Explicit statement

Attribution: highexplicit opinion; no supporting trade evidence

In discussion of a named social-media personality, he says alert-driven moves can be short-lived and shorted afterward. No entries, borrows, stops or trade examples follow, and he earlier identifies his own primary approach as long. Claims about the personality remain attributed opinions.

ELI5: An idea about a fade is not a tested short setup.

S13-P0068 (L58) S13-P0069 (L58)

Strategy and regime

Educators should provide credibility beyond lifestyle marketing

S13 | Andy (Quickbags) | A: Explicit statement

Attribution: highexplicit process description

He accepts that some unverified educators may offer useful information, while asking for verification because viewers cannot readily distinguish quality from misleading marketing. This is a nuanced standard, not proof every unverified educator is dishonest.

ELI5: Useful content and verified results are separate questions.

S13-P0071 (L58) S13-P0072 (L58) S13-P0073 (L58)

Learning and review / Evidence and limitations

Finding personality fit can take years

S13 | Andy (Quickbags) | B: Reported experience

Attribution: highreported experience

He says beginners leave before discovering patterns that fit them and reports taking several years to begin seeing progress. This is his experience, not a guaranteed timeline or reason to ignore continuing losses.

ELI5: Stay solvent while learning what suits you.

S13-P0073 (L58) S13-P0074 (L58)

Numbers

  • Value
    three or four years
    Context
    time to start seeing progress
    Ref
    S13-P0074 (L58)
    Source excerpt
    three or four years in to my journey

Development

Hard stops are his default and his beginner recommendation

S13 | Andy (Quickbags) | A: Explicit statement

Attribution: highexplicit process description

He uses both mental and hard stops but predominantly hard stops, and recommends hard stops for newcomers because they lack experience. Mental stops enter his discussion only after development. Exact stop placement and order type are not specified.

ELI5: Use a real exit rule before relying on judgment.

S13-P0074 (L58) S13-P0075 (L58)

Exits and adjustments / Losses and survival

Cut losses quickly remains difficult despite simplicity

S13 | Andy (Quickbags) | A: Explicit statement

Attribution: highexplicit process description

He identifies Tim Sykes advice to cut losses quickly as his best early lesson and acknowledges it is hard to follow. The content concerns execution discipline rather than a complete exit method.

ELI5: Knowing the rule is easier than obeying it.

S13-P0075 (L58)

Losses and survival / Psychology and decisions

Explore at very small size to preserve learning runway

S13 | Andy (Quickbags) | A: Explicit statement

Attribution: highexplicit process description

He tells new traders to start very small, try patterns and ideas, and avoid blowing up until something fits. This exploration advice is distinct from his aggressive A-plus sizing for developed setups.

ELI5: Buy more learning time by risking less at first.

S13-P0076 (L58)

Sizing and exposure / Losses and survival / Learning and review

Headline and caption performance differ

S14 | Host/title | E: Unclear or conflicting

Attribution: highsource performance claim with caption discrepancy

The host introduces $816K verified profits, while the title says $703K over twelve months and the body caption prints $73K. Preserve the conflict rather than silently repairing it. None is an independently reviewed account record.

ELI5: Do not silently fix a profit number.

S14-P0001 (L1) S14-P0044 (L55) S14-P0046 (L55)

Numbers

  • Value
    $816K
    Context
    host total
    Ref
    S14-P0044 (L55)
    Source excerpt
    $816,000
  • Value
    $73K
    Context
    body caption twelve-month amount
    Ref
    S14-P0046 (L55)
    Source excerpt
    $73,000
  • Value
    $703K
    Context
    title twelve-month amount
    Ref
    S14-P0001 (L1)
    Source excerpt
    703k

Evidence and limitations

Scaling came through more opportunities rather than larger shares

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

He attributes progress partly to screen time enabling more recognized setups, and says he did not materially increase share size. Frequency rose sharply. This is skilled opportunity expansion, not evidence beginners should trade more.

ELI5: He grew the number of known trades, not just each bet.

S14-P0046 (L55) S14-P0047 (L55)

Numbers

  • Value
    40 to 200 per day
    Context
    approximate trade-count progression
    Ref
    S14-P0047 (L55)
    Source excerpt
    40 trades a day and now I'm taking 200 trades a day

Learning and review

A local trading pod expanded knowledge

S14 | Brandon (BMAC) | B: Reported experience

Attribution: highreported experience

He shares ideas and strategies with a Denver group in all-day chat and believes both sides benefit. This is reported collaboration value, not a causal study of pod membership.

ELI5: Other skilled eyes can reveal things you miss.

S14-P0048 (L55)

Learning and review

Full-time focus followed a startup closure

S14 | Brandon (BMAC) | B: Reported experience

Attribution: highreported experience

He moved full-time in January after his employer failed and says he was mentally prepared. Extra focus and review time helped more than expected. The host calls job loss a blessing, but that framing is not a general recommendation to quit.

ELI5: More focused time helped this trader after a job loss.

S14-P0048 (L55) S14-P0049 (L55) S14-P0050 (L55)

Development / Learning and review

Hyper-scalping describes very short holdings, with exceptions

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

Most trades last seconds, with occasional winners held much longer. The timing is descriptive and not an exact universal timeout rule.

ELI5: Most trades are quick, but a strong winner can last longer.

S14-P0052 (L55) S14-P0053 (L55)

Numbers

  • Value
    10-15 seconds
    Context
    majority holding time
    Ref
    S14-P0052 (L55)
    Source excerpt
    10 to 15 seconds
  • Value
    1-30 seconds
    Context
    usual broader range
    Ref
    S14-P0052 (L55)
    Source excerpt
    one second to you know 30 seconds
  • Value
    up to five minutes
    Context
    occasional winner
    Ref
    S14-P0052 (L55)
    Source excerpt
    up to five minutes

Entries and execution

Chart context and Level 2 perform different jobs

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

Charts identify coils, breakouts, extended dips and parabolic momentum; Level 2 refines entry, exit and immediate risk. The exact depth/tape signals are not verbally specified.

ELI5: The chart finds the situation; the tape times the action.

S14-P0053 (L55)

Entries and execution

VWAP is his only routinely watched indicator

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

He emphasizes price action and context rather than stacking indicators or using Python for trade decisions. A later self-built scanner is separate from a fully automated strategy.

ELI5: A simple chart can still require complex judgment.

S14-P0055 (L55) S14-P0056 (L55) S14-P0097 (L55) S14-P0098 (L55)

Testing and automation

The same chart shape can mean different things

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

He says stock story, day and environment alter pattern meaning. Screen time helps interpret these differences; isolated chart-pattern labels cannot fully reproduce his decisions.

ELI5: The shape needs its surrounding story.

S14-P0056 (L55)

Strategy and regime

Continuation can become reversal when the tape changes

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

He may repeatedly short a persistently weak stock until tape evidence suggests exhaustion or a blow-off, then trade the opposite direction. This is flexible context-reading, with no exact reversal trigger disclosed.

ELI5: Follow weakness until the behavior changes.

S14-P0056 (L55) S14-P0057 (L55)

Strategy and regime

Range, volume and tight spread define a tradable focus

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

He wants all three before concentrating on a stocks personality and trading it in either direction. Each remains qualitative; no volume, spread or range threshold is supplied.

ELI5: Movement needs enough liquidity and a cheap enough spread.

S14-P0057 (L55) S14-P0058 (L55)

Strategy and regime / Entries and execution

Intensity suits his personality rather than exhausting him

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

He finds rapid interactive trading engaging like a game and prefers it to sitting through a position. This explains fit, not risklessness; the hosts house-betting analogy does not prove edge.

ELI5: A method must suit how you work.

S14-P0054 (L55) S14-P0055 (L55)

Psychology and decisions

Screen time was paired with review and observing opponents

S14 | Brandon (BMAC) | B: Reported experience

Attribution: highreported routine

He traded full days, reviewed trades and studied others approaches to understand both potential ideas and the other side. He reports years of intensive work rather than a quick shortcut.

ELI5: Watch, trade, review, and learn what others see.

S14-P0060 (L55) S14-P0061 (L55) S14-P0062 (L55)

Numbers

  • Value
    6.5 hours
    Context
    full trading session
    Ref
    S14-P0061 (L55)
    Source excerpt
    six and a half hours
  • Value
    about one hour
    Context
    review
    Ref
    S14-P0062 (L55)
    Source excerpt
    probably an hour
  • Value
    two-three hours
    Context
    additional study in early period
    Ref
    S14-P0062 (L55)
    Source excerpt
    two or three hours

Learning and review

Live wins and losses taught nuance missing from explanations

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

Watching Eric Green around late 2020/early 2021 exposed actual entries, exits and risk decisions. He initially copied, then added Level 2 and breakouts to dip trading. The interview itself acknowledges verbal descriptions omit nuance.

ELI5: Watching the mistakes is part of learning the method.

S14-P0063 (L55) S14-P0064 (L55) S14-P0065 (L55)

Development

Low personal expenses protect trading independence

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

He saved salary and trading profits, bought a home and wants low obligations so a bad month or year does not force income extraction or a return to employment. This is household survival planning, not a trade entry.

ELI5: Lower bills reduce pressure to force profits.

S14-P0066 (L55) S14-P0067 (L55)

Losses and survival

Public records support credible networking

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

He joined Kinfo to demonstrate legitimacy and meet real traders, eventually supporting pod connections. Leaderboard recognition was also attractive. Verification is a networking filter, not a proof of every teaching claim.

ELI5: Show a record before asking others to trust you.

S14-P0068 (L55) S14-P0069 (L55) S14-P0070 (L55) S14-P0071 (L55) S14-P0072 (L55)

Evidence and limitations

Win rate must be read with loss size and hidden averaging

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit skeptical opinion

He warns that very high win rates can conceal large losses or averaging. However his categorical claims that particular combinations are impossible are opinions, not mathematical proof of dishonesty. The correct extraction preserves the skepticism without endorsing universal cutoffs.

ELI5: Many wins can hide one ruinous loss.

S14-P0069 (L55) S14-P0079 (L55) S14-P0080 (L55)

Numbers

  • Value
    80%
    Context
    guest illustrative skepticism, not a proven cutoff
    Ref
    S14-P0069 (L55)
    Source excerpt
    80% win rate
  • Value
    90%
    Context
    guest warning example, not universal impossibility
    Ref
    S14-P0080 (L55)
    Source excerpt
    90% win rate

Losses and survival / Evidence and limitations

Marketing skill and teaching competence can diverge

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

The discussion distinguishes persuasive marketing from experience and acknowledges some would-be teachers might have good intentions without knowledge. Broad allegations about unnamed young marketers remain interview opinions.

ELI5: Good advertising does not prove good trading instruction.

S14-P0072 (L55) S14-P0073 (L55) S14-P0074 (L55) S14-P0075 (L55)

Learning and review / Evidence and limitations

Promotion can add liquidity while harming participants

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

He sees a financial benefit to active traders from new participants attracted by promoters, while judging the underlying practice negatively. This is an ethical tension he states, not endorsement or proof of allegations about any named person.

ELI5: More activity can benefit traders while hurting newcomers.

S14-P0076 (L55) S14-P0077 (L55)

Entries and execution

Selective winner clips are a claimed warning sign

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highunverified guest allegation

He alleges a named creators content selected winning paper trades and says criticism was deleted. The provided file contains no independent supporting evidence. Preserve the claimed mechanism and attribution rather than asserting the allegation as established.

ELI5: A highlight reel may omit the losing attempts.

S14-P0078 (L55) S14-P0079 (L55) S14-P0080 (L55)

Strategy and regime / Evidence and limitations

Host averaging-loss example is separate from guest performance

S14 | Host | B: Reported experience

Attribution: highhost self-report

The host recalls a string of green days followed by a roughly $30K loss from adding to losing shorts. It illustrates an honest but unsustainable equity curve, not BMACs own loss history.

ELI5: Real profits can still come from a fragile method.

S14-P0081 (L55) S14-P0082 (L55)

Numbers

  • Value
    $30K
    Context
    host single-day loss
    Ref
    S14-P0082 (L55)
    Source excerpt
    $30,000 loss one day

Losses and survival

Personality fit can be decomposed into observable tolerances

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

He asks whether one wants constant activity or a short session, wants to bank green quickly or tolerate retracement, and can withstand repeated losses. He suggests method adjustments to these traits, while admitting beginners need experiments to know themselves.

ELI5: Choose rules you can actually follow under stress.

S14-P0083 (L55) S14-P0084 (L55) S14-P0085 (L55)

Psychology and decisions

Tiny experiments build a database before scaling

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

He recommends trying varied ideas at very small size, recording where and why they work or fail, then pruning. His phrase about trying to lose is exploratory rhetoric, not a recommendation for intentional large losses. A short successful month is insufficient evidence.

ELI5: Pay little to discover what fails.

S14-P0086 (L55)

Sizing and exposure / Learning and review

Regime coverage matters more than an early winning streak

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

He describes GameStop/AMC-linked activity helping longs and hurting shorts, followed by a rapid reversal of conditions. Collect data across cycles before confidence-driven size increases. The observation is dated to the interview context.

ELI5: One kind of market is not the whole market.

S14-P0087 (L55) S14-P0088 (L55)

Strategy and regime

Immediate follow-through is the scalp invalidation concept

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

A familiar Level 2 signal should act quickly; otherwise he exits around break-even or a small loss. He considers seconds easier to forecast than minutes. There is no quantified timeout, hard stop or depth threshold.

ELI5: If the quick move does not happen, the reason to stay is gone.

S14-P0088 (L55) S14-P0089 (L55)

Losses and survival / Testing and automation

Exits respond to tape outcomes rather than one fixed target

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

After an entry works, he distinguishes a parabolic move toward a halt from a move that stalls; Level 2 also controls profit taking. Exact exit signals and hold-through-halt policy are absent.

ELI5: A strong move and a stall need different exits.

S14-P0090 (L55)

Exits and adjustments

Aggressive fills trade spread cost for immediacy

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

He buys the ask rather than waiting on the bid because the predicted move should happen immediately and passive orders often miss. His rough missed-fill statement is an estimate, not measured fill data. The host adds that buying may support momentum, which is commentary rather than an executable rule.

ELI5: Paying the spread can buy speed, at a cost.

S14-P0090 (L55) S14-P0091 (L55) S14-P0092 (L55)

Numbers

  • Value
    90%
    Context
    guest rough claim of missed passive fills
    Ref
    S14-P0091 (L55)
    Source excerpt
    90% of the time

Entries and execution

Raw archives are his preferred educational evidence

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

He values complete live sessions including losses and risk management over cherry-picked examples, naming MMU and Trading Farmer as examples with uncertain exact spelling. He says he has no affiliation, while acknowledging community contact. This is not an independent endorsement of those services.

ELI5: Study the full session, not just the best trade.

S14-P0092 (L55) S14-P0093 (L55) S14-P0094 (L55) S14-P0095 (L55)

Learning and review

Stable size reveals both market and personal cycles

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

He advises unchanged size for months or years so traders see how different markets and rough personal periods affect execution. The duration is judgmental rather than a validated minimum.

ELI5: Learn your bad conditions before making the bets bigger.

S14-P0096 (L55)

Strategy and regime / Sizing and exposure / Psychology and decisions

A custom short-timeframe scanner supports selection

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

He built a scanner when available choices did not fit his needs or budget, uses it daily, and sells subscriptions through Dip Traders. This commercial connection should accompany scanner references; exact scanner logic is not disclosed.

ELI5: His tool finds candidates, but its filter is not provided.

S14-P0097 (L55) S14-P0098 (L55)

Strategy and regime / Testing and automation

A strong personal reason sustained prolonged effort

S14 | Brandon (BMAC) | A: Explicit statement

Attribution: highexplicit process description

Family time, freedom and independence motivate him through losses and the hours of study. He also admits he cannot definitively explain why he succeeds while others do not; effort is his account, not a guaranteed causal formula.

ELI5: A reason to persist helps, but does not prove an edge.

S14-P0059 (L55) S14-P0060 (L55) S14-P0099 (L55) S14-P0100 (L55)

Development

Peak performance was concentrated in a favorable window

S15 | Host and James | A: Explicit statement

Attribution: highhost claim and guest explanation

Host introduces $1.1M verified profits and nearly a million from late 2020 to early 2021. James attributes the surge to prepared strategies meeting unusual opportunity and compounding. No full ledger or net-cost reconciliation is supplied.

ELI5: The headline came from a special period, not a smooth salary.

S15-P0046 (L57) S15-P0050 (L57) S15-P0051 (L57) S15-P0052 (L57) S15-P0053 (L57)

Numbers

  • Value
    $1.1M
    Context
    host claimed total
    Ref
    S15-P0046 (L57)
    Source excerpt
    1.1 million in verified profits
  • Value
    five months
    Context
    host described surge period
    Ref
    S15-P0050 (L57)
    Source excerpt
    5 months

Strategy and regime / Evidence and limitations

A West Coast routine accommodates premarket and family

S15 | James (Stockwonk) | B: Reported experience

Attribution: highreported schedule

He usually gets up around 4-4:30 local time for premarket development/trading, with much of trading done before children wake. He also mentions recent breaks. This is a personal schedule rather than a requirement or market-open definition.

ELI5: His working day starts early to fit his family.

S15-P0047 (L57) S15-P0048 (L57) S15-P0049 (L57)

Learning and review

Gapper frequency amplified opportunity in 2021

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

He contrasts a few gappers per week with several each day, many fading through the session after an appropriate morning short. Frequent similar events also made data collection faster. Host demand-dilution reasoning is separate explanation, not demonstrated causality.

ELI5: More qualifying events meant more bets and more data.

S15-P0051 (L57) S15-P0052 (L57) S15-P0053 (L57) S15-P0054 (L57) S15-P0058 (L57)

Numbers

  • Value
    two-three per week versus four-five per day
    Context
    informal historical frequency comparison
    Ref
    S15-P0051 (L57)
    Source excerpt
    two or three gappers a week
  • Value
    four-five per day
    Context
    surge frequency
    Ref
    S15-P0051 (L57)
    Source excerpt
    four or five gappers a day

Strategy and regime

The traded population changed, not just the chart name

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

He says earlier gappers often had larger floats, whereas later reverse-split microcaps had ultra-low floats and different squeeze risk. This is his market-structure interpretation; listing-rule claims are historical interview context and not currently verified here.

ELI5: Two stocks called gappers may behave very differently.

S15-P0055 (L57) S15-P0056 (L57) S15-P0057 (L57)

Strategy and regime

Old market-cap rule now yields fewer candidates

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

His 2021 short rules excluded market capitalizations below $15M. He says many later gappers fall below that threshold, so the old method may still work for its population but has fewer opportunities. This differs from claiming the entire concept stopped working.

ELI5: An edge can become scarce before it becomes wrong.

S15-P0057 (L57) S15-P0058 (L57)

Numbers

  • Value
    $15M
    Context
    historical minimum capitalization rule
    Ref
    S15-P0057 (L57)
    Source excerpt
    market cap less than 15 million

Strategy and regime

Low-frequency development takes longer to validate

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

New strategies produce few monthly examples, so gathering enough data and refining rules takes time. Recent slow losses revealed weaknesses in small samples, despite a good February burst. He reports a red prior year and only modest current gains.

ELI5: Fewer examples mean slower learning.

S15-P0059 (L57) S15-P0060 (L57)

Sizing and exposure / Losses and survival

He is building directional variety for future regimes

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

He no longer wants to rely only on the prior short-gapper environment and is researching longs, including short squeezes. These are evolving projects rather than disclosed proven replacements.

ELI5: Different markets may need different tools.

S15-P0061 (L57) S15-P0088 (L57) S15-P0089 (L57)

Strategy and regime

Failure to withdraw profits exposed the first trading career

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

During 2013-2014 he left money in the account because trading returns appeared superior to savings or investments. After later losses he concluded paying himself regularly protects capital from market shifts and mental mistakes. Exact withdrawal rule not stated.

ELI5: Money left at risk can be given back.

S15-P0065 (L57) S15-P0066 (L57) S15-P0067 (L57)

Losses and survival

Later withdrawals preserved much of the boom

S15 | James (Stockwonk) | B: Reported experience

Attribution: highreported experience

He says he retained most of the 2020-2021 windfall by withdrawing and now trades a much smaller account while rebuilding consistency. That is a reported risk response, not proof all subsequent losses were harmless.

ELI5: He changed what he did with profits the second time.

S15-P0067 (L57) S15-P0068 (L57)

Development / Sizing and exposure

Adding account capital cannot repair poor execution

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

He gives a hypothetical doubling of an unprofitable account to explain why consistency must precede funding or size increases. Reduce exposure when performance deteriorates rather than expecting more dollars to cure the method.

ELI5: More fuel does not repair the engine.

S15-P0068 (L57) S15-P0069 (L57)

Sizing and exposure / Psychology and decisions

2014 loss combined ignored mental stops with adds

S15 | James (Stockwonk) | B: Reported experience

Attribution: highreported experience with uncertainty

He recalls shorting two runners, using mental stops and adding as they squeezed, losing roughly half the account in one day. He does not recall tickers or exact dollars and gives a broad range.

ELI5: A stop that is not taken is not a limit.

S15-P0070 (L57) S15-P0071 (L57) S15-P0078 (L57)

Numbers

  • Value
    about 50%
    Context
    one-day account loss
    Ref
    S15-P0071 (L57)
    Source excerpt
    50% of my trading account
  • Value
    $50K-$80K
    Context
    uncertain recalled one-day dollar loss
    Ref
    S15-P0078 (L57)
    Source excerpt
    anywhere from $ 50 to $80,000

Exits and adjustments / Losses and survival

Loss of other income intensified the drawdown spiral

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

He had abandoned other income, then needed trading profits after the account loss. He recommends keeping another source of income to reduce pressure, while the claim it guarantees better trading is opinion rather than evidence.

ELI5: Bills can turn patience into desperation.

S15-P0071 (L57) S15-P0072 (L57) S15-P0073 (L57)

Psychology and decisions

Continuing while mentally impaired exhausted remaining capital

S15 | James (Stockwonk) | B: Reported experience

Attribution: highreported experience

He kept trading through 2015 and bled the rest, later saying he should have stopped after the first blowup. The title lost it all compresses a multi-stage decline, not one immediate total-account loss.

ELI5: The first disaster was followed by preventable further losses.

S15-P0071 (L57) S15-P0073 (L57)

Strategy and regime

A multi-year paper-trading rebuild preceded the comeback

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

In 2016-2017 he rebuilt other businesses and paper traded until consistency and outside capital allowed a small 2018 account. The good 2020-2021 period was supported by preceding work, not a sudden overnight recovery.

ELI5: The comeback had years of preparation behind it.

S15-P0074 (L57) S15-P0075 (L57) S15-P0076 (L57) S15-P0077 (L57)

Development

Multiple-broker account history is not present-day regulatory advice

S15 | James (Stockwonk) | B: Reported experience

Attribution: highhistorical self-report

He recalls restarting through a small broker and splitting funds among brokers under the then-discussed day-trading restrictions. Some broker names are uncertain and he does not remember one. Preserve as chronology only.

ELI5: Historical workarounds are not current rules.

S15-P0075 (L57) S15-P0076 (L57)

Strategy and regime

A 2021 overnight short produced another large loss

S15 | James (Stockwonk) | B: Reported experience

Attribution: highreported loss example

He held a fading gapper overnight, woke to a higher gap and lost nearly $100K. The ticker only began with V in his recollection. He still sometimes holds shorts overnight but became more selective about security and size.

ELI5: An intraday thesis can face a different overnight risk.

S15-P0081 (L57) S15-P0082 (L57)

Numbers

  • Value
    almost $100K
    Context
    approximate overnight loss
    Ref
    S15-P0081 (L57)
    Source excerpt
    almost 100 Grand

Losses and survival

Many parallel projects create a data bottleneck

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

He says he is developing around twenty to thirty strategies simultaneously. The problem is enough observations and borderline-pattern decisions, not simply obeying existing rules. This is a reported workload, not a recommended project count.

ELI5: More ideas also mean more evidence to collect.

S15-P0083 (L57) S15-P0084 (L57)

Numbers

  • Value
    20-30
    Context
    approximate concurrent research strategies
    Ref
    S15-P0083 (L57)
    Source excerpt
    20 to 30 different trading strategies

Sizing and exposure

Boundary cases expose the tension between broad and overfit rules

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

A setup may almost fit. He wants enough specificity for an edge but not so many conditions that the rule rarely repeats or is impractical. No formal complexity penalty or threshold selection protocol is given.

ELI5: Rules need to be precise without describing only one past trade.

S15-P0083 (L57) S15-P0084 (L57) S15-P0121 (L57) S15-P0122 (L57) S15-P0123 (L57) S15-P0124 (L57)

Testing and automation

Historical outside-period tests support current research

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

He uses Edge to Trade historical gapper data to ask whether current strategies would work in earlier years, calling this out-of-sample testing. The transcript does not establish those periods were untouched or rules frozen, so true independence remains unverified.

ELI5: Testing another period helps only if you do not keep fitting to it.

S15-P0085 (L57) S15-P0086 (L57)

Testing and automation

Experienced traders can return to paper trading

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

He had recently paused live trading to refine nearly ready strategies and planned travel without trading. He reiterates that sizing down or simulation is legitimate even after large success. No shame-based need to maintain old size is implied.

ELI5: You can step back without abandoning the work.

S15-P0086 (L57) S15-P0087 (L57) S15-P0107 (L57) S15-P0125 (L57)

Losses and survival

Repeated observation generates hypotheses

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

He watches behavior recur and forms strategy ideas, including using painful early shorts to identify possible long squeezes. These observations are starting points for data collection, not validated signals by themselves.

ELI5: A repeated surprise can become a research question.

S15-P0087 (L57) S15-P0088 (L57) S15-P0089 (L57)

Development / Strategy and regime / Learning and review

Short-seller incentive discussion is separate from his technical edge

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit opinions and unverified allegations

He argues investigative shorts help uncover wrongdoing and criticizes incentives that favor rising prices. Comments about regulators, named people and companies are interview opinions or allegations without corroboration in the supplied file. They do not establish trade signals.

ELI5: A market opinion is not an entry rule.

S15-P0091 (L57) S15-P0092 (L57) S15-P0093 (L57) S15-P0094 (L57) S15-P0095 (L57) S15-P0096 (L57) S15-P0097 (L57) S15-P0098 (L57)

Strategy and regime

Transparency should include losses and workload

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

He displays results to counter selective social-media gains and show the work and difficulty, including long struggle. This explains motivation, not independent proof of account completeness.

ELI5: Show the bad periods too.

S15-P0100 (L57) S15-P0101 (L57) S15-P0102 (L57) S15-P0103 (L57)

Learning and review / Evidence and limitations

Trading and fitness marketing share exaggerated-promise incentives

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

He connects his fitness/science background to skepticism about attractive but misleading claims. The host separately discusses clickbait practices; those are not evidence of an executable strategy.

ELI5: What sells is not always what is true.

S15-P0103 (L57) S15-P0104 (L57) S15-P0105 (L57) S15-P0106 (L57)

Learning and review / Evidence and limitations

Hard stops are the current day-trading default

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

He says a stop order is placed as soon as an entry order and accepts slippage as part of execution. This is a substantial change from ignored mental stops, but does not guarantee fills or cap gaps exactly.

ELI5: Put the exit order in before emotion takes over.

S15-P0108 (L57) S15-P0109 (L57) S15-P0110 (L57)

Entries and execution / Exits and adjustments

Long-term Tesla position qualifies the all-hard-stops claim

S15 | James (Stockwonk) | E: Unclear or conflicting

Attribution: highexplicit process description

He discloses a small underwater long-term Tesla short with a more mental stop, no adds, and separate purchased puts across strikes and expiries. Purchased-put loss framing does not bound the separate short stock. No complete long-term strategy is provided.

ELI5: The exception matters as much as the slogan.

S15-P0109 (L57) S15-P0110 (L57)

Losses and survival

He may widen an existing hard stop modestly

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

He sometimes adjusts by a few cents or from one R to about 1.25R for nearby resistance while keeping an order active. This means his rule is not never move a stop; exact preconditions and total permitted risk are not specified.

ELI5: Keeping a stop does not mean keeping its original risk.

S15-P0111 (L57)

Numbers

  • Value
    1 to 1.25R
    Context
    illustrative widening
    Ref
    S15-P0111 (L57)
    Source excerpt
    one and a quarter R
  • Value
    five cents
    Context
    illustrative adjustment
    Ref
    S15-P0111 (L57)
    Source excerpt
    5 cents

Exits and adjustments

Spreadsheet research records candidates rather than copying trades

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

He logs dates, tickers, float and other attributes for pattern examples to evaluate edge. Beginners should first choose a market and observe it, then test borrowed ideas in their own process.

ELI5: Build your own evidence book.

S15-P0113 (L57) S15-P0114 (L57) S15-P0115 (L57)

Learning and review / Testing and automation

Following alerts fails for timing and understanding reasons

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

He says copying others trades has not worked for him due to slippage and incomplete understanding. The recommendation is to borrow concepts, not delayed fills.

ELI5: You may copy the price after the opportunity has changed.

S15-P0115 (L57)

Entries and execution

The edge is in specification, not the pattern label

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

Shorting gappers requires defining size of gap, timing, stop and qualifying behavior. Familiar concepts remain useful only through concrete execution rules. None of his full rule sets is actually disclosed here.

ELI5: Naming the pattern is only the beginning.

S15-P0116 (L57) S15-P0117 (L57)

Evidence and limitations

Host parameter story illustrates stale assumptions

S15 | Host | B: Reported experience

Attribution: highhost self-report

The host describes once-fixed gap and timing metrics that failed after market change and admits assuming psychology would stay constant. These parameters are his account, not James rules or a recommendation.

ELI5: A once-useful threshold can become stale.

S15-P0117 (L57) S15-P0118 (L57) S15-P0119 (L57)

Strategy and regime

Old immediate fades differ from newer persistent strength

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit process description

James observes older gapper charts often faded directly from the open while newer ones may hold. He studies candle behavior to separate potential faders from avoid candidates. Precise candle definitions are not provided.

ELI5: The same opening gap can now take another path.

S15-P0119 (L57) S15-P0120 (L57) S15-P0121 (L57)

Strategy and regime

Opening-range example is a teaching illustration, not a finding

S15 | James (Stockwonk) | A: Explicit statement

Attribution: highexplicit illustrative opinion

He calls a generic opening-range breakout too simple and adds absurd extra conditions to illustrate overfitting. His categorical no-edge statement is not backed by a shown test and should not be generalized to every opening-range method.

ELI5: The example explains a danger, not a tested universal verdict.

S15-P0122 (L57) S15-P0123 (L57) S15-P0124 (L57)

Testing and automation / Evidence and limitations

Farm income funded runway

S16 | The Trading Farmer | B: Reported experience

Attribution: highexplicit process description

Summer work on the family farm funded the account. Living at home and having no immediate bill pressure later allowed daily practice; this support is part of the development story, not evidence that the strategy is independently easy.

ELI5: Outside income bought learning time.

S16-P0049 (L61) S16-P0050 (L61) S16-P0105 (L61) S16-P0115 (L61) S16-P0117 (L61)

Development

Long flat learning period

S16 | The Trading Farmer | B: Reported experience

Attribution: highexplicit process description

He describes roughly 12 to 14 months without net profit, rather than a sudden secret. He says he did not really lose much initially. He separately reports six months in a simulator; exact overlap is not specified.

ELI5: Practice took months before profit.

S16-P0054 (L61) S16-P0062 (L61) S16-P0116 (L61) S16-P0117 (L61)

Numbers

  • Value
    12 to 14 months
    Context
    Reported period without profit
    Ref
    S16-P0116 (L61)
    Source excerpt
    12 to 14 months
  • Value
    six months
    Context
    Simulator period
    Ref
    S16-P0117 (L61)
    Source excerpt
    simulator for six months

Development / Learning and review

Simplification was a bundle

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

The turning point combined simple buy/sell market hotkeys, smaller shares and actually respecting max loss. He rejects the idea that one hidden setup caused overnight profitability.

ELI5: Simpler execution and smaller losses worked together.

S16-P0051 (L61) S16-P0052 (L61) S16-P0053 (L61) S16-P0054 (L61) S16-P0055 (L61)

Entries and execution / Losses and survival / Learning and review

A max loss matters before profitability

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

He previously postponed honoring his loss limit until he became profitable. He identifies that reasoning as mistaken. Neither the amount nor broker enforcement is given.

ELI5: The loss boundary comes first.

S16-P0053 (L61) S16-P0054 (L61) S16-P0055 (L61)

Losses and survival / Psychology and decisions

Small size expanded practice opportunities

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

Smaller cash-account positions let him take more separate attempts with available buying power and reduced emotional pressure. His language about unlimited trades is contextual, not a documented account settlement rule.

ELI5: Smaller bites gave him more tries.

S16-P0052 (L61) S16-P0063 (L61) S16-P0064 (L61) S16-P0068 (L61)

Entries and execution / Sizing and exposure / Psychology and decisions

Trade oscillations inside strength

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

The 50/50 style buys micro dips within a larger upward move and rapidly sells rebounds, repeatedly. It need not capture the full breakout. His illustrative four-to-five dollar path is a hypothetical explanation, not a trade record.

ELI5: Collect small rebounds inside a bigger rise.

S16-P0056 (L61) S16-P0057 (L61) S16-P0064 (L61)

Numbers

  • Value
    five cents
    Context
    Illustrative repeated scalp gain, not target rule
    Ref
    S16-P0057 (L61)
    Source excerpt
    catching the five cents here

Strategy and regime / Entries and execution

Broad pattern context includes W shapes

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

He uses bull flags, breakouts, ABCD shapes, double bottoms and false breakdowns. His W category extends beyond textbook ABCDs, so a chart-name classifier alone would not reproduce selection.

ELI5: He reads several shapes that can support a bounce.

S16-P0058 (L61) S16-P0059 (L61)

Strategy and regime

Not every moving stock is tradable

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

He abandons the premise that all volatility is favorable: some names repeatedly produce poor entries and exits. The source attributes some behavior to market makers without establishing causation.

ELI5: A fast stock can still be a bad vehicle.

S16-P0059 (L61) S16-P0071 (L61) S16-P0072 (L61)

Strategy and regime / Entries and execution

More trades replaced larger isolated bets

S16 | The Trading Farmer | B: Reported experience

Attribution: highexplicit process description

He reports small repeated attempts made more than his earlier handful of larger trades. The account does not quantify net expectancy or slippage. Emotional triggering preceded his first size-up, so that episode is not a disciplined scaling recipe.

ELI5: Frequency replaced dependence on a few big bets.

S16-P0065 (L61) S16-P0066 (L61)

Numbers

  • Value
    25 to 50 shares
    Context
    Reported month of small-size practice
    Ref
    S16-P0066 (L61)
    Source excerpt
    a month with 25 to 50 shares
  • Value
    300 shares
    Context
    Earlier larger attempts
    Ref
    S16-P0066 (L61)
    Source excerpt
    four or five trades with 300 shares

Development / Sizing and exposure

Immediate failure exit

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

For the foundational scalp, if the dip does not move favorably immediately, he exits at market, potentially before the position is red. This is a behavior rule, not a fixed protective price stop.

ELI5: If the bounce does not start, leave.

S16-P0066 (L61) S16-P0067 (L61) S16-P0068 (L61)

Exits and adjustments / Losses and survival

Experienced pattern trades can last longer

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

He sometimes gives W or ABC-type trades time, and with experience holds select dips longer. These exceptions are acknowledged but lack selection criteria and a separate loss boundary.

ELI5: Not every trade uses the shortest exit.

S16-P0067 (L61) S16-P0084 (L61) S16-P0085 (L61)

Exits and adjustments

Top-down stock selection

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

He checks daily chart behavior, whether a stock commonly dumps at the open, then the five-minute pattern and trend. Low float, volume, above-VWAP position, higher highs and repeated bottoming tails form qualitative gates. No float or volume thresholds are disclosed.

ELI5: Choose the right larger picture before the tiny entry.

S16-P0069 (L61) S16-P0070 (L61) S16-P0071 (L61) S16-P0072 (L61)

Strategy and regime

Readable spread is an execution gate

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

After a suitable chart, he inspects Level 2 for a visible dip/rebound and stable bid/ask movement. Erratic quotes make the opportunity difficult even if the chart is attractive. Stability is not numerically defined.

ELI5: The quotes must be readable enough to act.

S16-P0071 (L61) S16-P0072 (L61)

Entries and execution

A dollar goal is a psychological reset

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

The one-dollar daily goal lowers performance pressure and shifts attention to process. He explicitly says it is not a rule to stop when one dollar is reached and not one dollar per share.

ELI5: A tiny goal reduces pressure, not opportunity.

S16-P0073 (L61) S16-P0074 (L61) S16-P0075 (L61) S16-P0076 (L61)

Numbers

  • Value
    $1 a day
    Context
    Psychological goal, not daily stopping rule
    Ref
    S16-P0074 (L61)
    Source excerpt
    making $1 a day

Psychology and decisions / Learning and review

Market orders trade price control for certainty

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

He prefers market entries/exits because limits can miss by a penny or partially fill before a flush. His assertion that market orders perform more consistently over samples is not supported with a comparative dataset.

ELI5: He values getting out more than naming the exact price.

S16-P0077 (L61) S16-P0078 (L61) S16-P0079 (L61)

Exceptions

  • Wider spreads can make market orders harmful.

Entries and execution

Wide spreads trigger a limit-order exception

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

He sometimes uses limit orders, generally on the sell side, when spreads are larger. Thus the strategy is not an unconditional market-order policy. No spread cutoff or limit pricing logic is given.

ELI5: Sometimes price protection is worth the wait.

S16-P0078 (L61) S16-P0079 (L61)

Entries and execution

Tape color anchors the micro entry and exit

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

He looks for red tape on a quick dip, then sells at market when tape and price turn green. The statement is nested within stock and pattern selection; buying any red print would remove critical context.

ELI5: Buy the selected dip, sell its first rebound.

S16-P0080 (L61)

Entries and execution / Exits and adjustments

Count-to-three is a training exercise

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

The suggested exercise is enter, count to three and sell regardless of outcome to build the exit habit. He explicitly distinguishes it from the precise method that earned his headline profit; it may be practiced for a month without profit.

ELI5: Train the exit reflex before chasing returns.

S16-P0082 (L61) S16-P0083 (L61) S16-P0086 (L61) S16-P0112 (L61) S16-P0113 (L61)

Numbers

  • Value
    three
    Context
    Exercise count, not proven fixed trade duration
    Ref
    S16-P0082 (L61)
    Source excerpt
    count to three and sell

Psychology and decisions / Learning and review

Fast exits can create false exits

S16 | The Trading Farmer | B: Reported experience

Attribution: highexplicit process description

He admits selling too soon and cutting a dip that immediately rebounds. His response is to re-enter on a subsequent dip rather than refuse the original loss. Costs and quote quality still govern whether that is viable.

ELI5: A mistaken exit does not require stubborn holding.

S16-P0084 (L61) S16-P0085 (L61)

Entries and execution / Losses and survival

Cheap commissions are economically central

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

He estimates old per-trade commissions would absorb a very large share of profits. The estimate is rough and does not show that spread, slippage or other charges disappear.

ELI5: Tiny gains need tiny transaction costs.

S16-P0057 (L61) S16-P0061 (L61) S16-P0091 (L61)

Numbers

  • Value
    $7 a trade
    Context
    Hypothetical historical commission
    Ref
    S16-P0091 (L61)
    Source excerpt
    $7 a trade
  • Value
    quarter million dollars
    Context
    Rough annual commission estimate
    Ref
    S16-P0091 (L61)
    Source excerpt
    a quarter million dollars of commissions every year
  • Value
    at least 50%
    Context
    Claimed profit drag estimate
    Ref
    S16-P0091 (L61)
    Source excerpt
    at least 50% of my profits

Evidence and limitations

Origins and crowding are uncertain

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

He did not see the technique taught on YouTube when he began, but does not claim exclusive invention. He speculates algorithms have long done similar things and says he has not observed crowding erode his edge; more participants might help or eventually hurt.

ELI5: Novel to him does not mean newly invented.

S16-P0061 (L61) S16-P0087 (L61) S16-P0088 (L61) S16-P0089 (L61) S16-P0090 (L61)

Strategy and regime / Sizing and exposure

Student successes are selected reports

S16 | The Trading Farmer | B: Reported experience

Attribution: highunverified selected student anecdotes

He describes a handful of early followers rapidly replicating the method and says it is not for everyone. There is no complete student denominator, independent return series or failed-student accounting.

ELI5: Some success stories do not establish typical odds.

S16-P0087 (L61) S16-P0088 (L61)

Evidence and limitations

Headline profits change during conversation

S16 | The Trading Farmer | E: Unclear or conflicting

Attribution: highexplicit process description

Host and description use 1.7 million; guest says the page is outdated and later casually says 1.8. Exact dates, complete accounts, drawdown and reconciliation are absent, so these are source-reported totals.

ELI5: The headline is not a complete audited performance history.

S16-P0013 (L16) S16-P0047 (L61) S16-P0050 (L61) S16-P0051 (L61) S16-P0086 (L61)

Numbers

  • Value
    1.7 million
    Context
    Host introduction total
    Ref
    S16-P0047 (L61)
    Source excerpt
    1.7 million in verified profits
  • Value
    1.8
    Context
    Later guest shorthand with implied million
    Ref
    S16-P0086 (L61)
    Source excerpt
    done to make 1.8

Evidence and limitations

Verification also serves reputation and community

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

He joined Kinfo on community requests, for leaderboard participation and to support his teaching story. A Discord member declining verification left claims unverified; it did not establish fraud.

ELI5: Verification helps assess a claim but refusal is not proof of misconduct.

S16-P0092 (L61) S16-P0093 (L61) S16-P0094 (L61) S16-P0107 (L61) S16-P0108 (L61) S16-P0109 (L61)

Evidence and limitations

Live copying is explicitly discouraged

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

Despite streaming, he displays warnings that mirroring his trades will produce losses. He acknowledges followers may enter behind a prominent trader. These points particularly constrain a seconds-long method.

ELI5: Watching is not the same as getting the same fill.

S16-P0096 (L61) S16-P0098 (L61) S16-P0100 (L61)

Evidence and limitations

Anti-hype message coexists with a paid course

S16 | The Trading Farmer | C: Analyst inference

Attribution: highanalyst inference from disclosed commercial context

He criticizes small-account challenges, luxury imagery and selective green-day marketing while selling his own discounted course and citing students. His authenticity claims are self-description, not independent proof of course efficacy.

ELI5: A modest sales style is still a sales context.

S16-P0100 (L61) S16-P0101 (L61) S16-P0102 (L61) S16-P0103 (L61) S16-P0104 (L61) S16-P0105 (L61) S16-P0106 (L61)

Evidence and limitations

Emotional readiness includes life conditions

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

He warns that bills, unstable home life, addiction or a breakup can amplify performance pressure. This is his experience-based explanation rather than a diagnostic statement about who can trade.

ELI5: Life stress can show up in trading decisions.

S16-P0110 (L61) S16-P0111 (L61) S16-P0112 (L61)

Psychology and decisions

Simulator first, then small real positions

S16 | The Trading Farmer | A: Explicit statement

Attribution: highexplicit process description

He recommends a simulator to test dedication and daily attendance before real money, then small size and realistic multiyear expectations. His favorable view of the learning sequence is separate from his criticism of one simulator product.

ELI5: Practice the routine before risking meaningful money.

S16-P0110 (L61) S16-P0112 (L61) S16-P0113 (L61) S16-P0114 (L61) S16-P0117 (L61) S16-P0118 (L61)

Learning and review

Persistence depended on support, not just desire

S16 | The Trading Farmer | C: Analyst inference

Attribution: highanalyst qualification grounded in reported circumstances

He attributes survival to farm capital, no immediate bills, liking the process and stubbornness after telling others trading was legitimate. Analyst qualification: never giving up is not an account-risk rule and the source supplies no objective stopping criterion.

ELI5: Persistence worked alongside resources and limits.

S16-P0115 (L61) S16-P0116 (L61) S16-P0117 (L61) S16-P0118 (L61)

Development / Losses and survival

Host probabilities are not guest statistics

S16 | Stephen Johnson | E: Unclear or conflicting

Attribution: highunsupported host estimates

The host inserts a hypothetical 70 percent setup success rate and a general 95 percent trader failure claim. Neither establishes the guest method win rate or population failure rate.

ELI5: A conversational percentage is not a measured result.

S16-P0079 (L61) S16-P0115 (L61)

Numbers

  • Value
    70%
    Context
    Host hypothetical setup success
    Ref
    S16-P0079 (L61)
    Source excerpt
    works 70% of the time
  • Value
    95%
    Context
    Host general trader-failure assertion
    Ref
    S16-P0115 (L61)
    Source excerpt
    95% of all Traders

Evidence and limitations

Headline performance is a claim, with conflicting short-period framing

S17 | Description and host; guest account path | E: Unclear or conflicting

Attribution: highconflicting promotional framing and self-report

The description and host call the account verified and place Siylenia on a leaderboard. The description says $311K in weeks, while the guest describes account equity moving from $150K to $411K after a fresh transfer. Those are different quantities and cannot be harmonized into a clean return record. No statements or execution ledger are supplied.

ELI5: A headline is not a complete account history.

S17-P0013 (L16) S17-P0023 (L29) S17-P0046 (L58) S17-P0058 (L58)

Numbers

  • Value
    $834,000
    Context
    description claimed verified profits
    Ref
    S17-P0013 (L16)
    Source excerpt
    $834,000 in verified profits
  • Value
    $311K
    Context
    description short-period claim
    Ref
    S17-P0013 (L16)
    Source excerpt
    $311K in just a few weeks
  • Value
    $150K to $411K
    Context
    guest equity path after transfer
    Ref
    S17-P0058 (L58)
    Source excerpt
    150k into about 411k

Evidence and limitations

Engineering employment supplies both useful skills and fatigue

S17 | Shahzad (Siylenia) | B: Reported experience

Attribution: highunverified personal schedule

He combines site reliability engineering at Splunk with regular-session trading and evening/on-call work. Research and coding occupy days outside his shift. This demonstrates substantial time cost; it does not establish a low-effort passive system.

ELI5: Automation took work before it saved work.

S17-P0048 (L58) S17-P0049 (L58) S17-P0050 (L58) S17-P0051 (L58)

Development / Learning and review

Psychology versus edge depends on the individual bottleneck

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit process description

He rejects a universal choice between psychology and strategy. Someone naturally resilient may need more edge work; someone good at finding patterns may need discipline. He identifies psychology as his own weaker area.

ELI5: Fix the part that is failing for you.

S17-P0053 (L58) S17-P0054 (L58) S17-P0055 (L58)

Strategy and regime / Psychology and decisions

A trend system still has an adverse regime

S17 | Shahzad (Siylenia) | B: Reported experience

Attribution: highreported experience

The early ten-minute strategy performed well before consolidation and chop coincided with personal stress. He identifies trend following as structurally mismatched to that environment. The interview gives no formal chop detector or shutoff rule.

ELI5: A trend tool struggles when price goes nowhere.

S17-P0056 (L58) S17-P0057 (L58)

Numbers

  • Value
    two months / roughly 1,000 trades
    Context
    early confidence-building sample, approximate
    Ref
    S17-P0056 (L58)
    Source excerpt
    two months at like a thousand trades

Strategy and regime / Losses and survival

Personal crisis compounded trading losses

S17 | Shahzad (Siylenia) | B: Reported experience

Attribution: highreported experience

He explicitly advises against trading through a breakup and took time away for self-understanding. His experience links stress to mistakes but does not prove adversity causes eventual success; later motivational agreement by host and guest is separate from evidence.

ELI5: Mental disruption can change how you follow rules.

S17-P0053 (L58) S17-P0057 (L58) S17-P0061 (L58) S17-P0062 (L58) S17-P0063 (L58)

Losses and survival / Psychology and decisions

Recovery involved new capital and higher leverage

S17 | Shahzad (Siylenia) | B: Reported experience

Attribution: highunverified self-report

He transferred additional capital, felt mentally clearer, perceived market movement, and used leveraged ES futures. Therefore the comeback should not be portrayed as uninterrupted compounding of the depleted balance. Exact leverage, drawdown and risk per trade are not supplied.

ELI5: Adding cash changes the comeback story.

S17-P0058 (L58) S17-P0059 (L58)

Numbers

  • Value
    two to three weeks
    Context
    approximate recovery interval
    Ref
    S17-P0058 (L58)
    Source excerpt
    two to three weeks
  • Value
    $150K
    Context
    new transfer
    Ref
    S17-P0058 (L58)
    Source excerpt
    transfer 150k

Sizing and exposure

Withdrawals and a pause separated recovery from automation development

S17 | Shahzad (Siylenia) | B: Reported experience

Attribution: highreported experience

After the recovery cycle he withdrew the account and stepped away because he doubted continued market movement and felt he had recovered enough. He then worked on full automation. The September date lacks a clearly stated year.

ELI5: Stopping can protect time and attention for development.

S17-P0059 (L58) S17-P0060 (L58)

Development

Algorithmic signals preceded automated execution

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit process description

The first rules were coded on charts but executed manually with intuition filling gaps. Only later did he automate execution. The distinction matters because early profits cannot automatically be assigned to the final unattended system.

ELI5: A computer signal and a computer placing trades are different.

S17-P0059 (L58) S17-P0060 (L58) S17-P0074 (L58) S17-P0075 (L58) S17-P0076 (L58)

Testing and automation

Early easy wins generated false expectations

S17 | Shahzad (Siylenia) | B: Reported experience

Attribution: highreported experience

He entered around the pandemic decline through index and technology funds, then won on American and GameStop options. He says unusually quick success before understanding the market encouraged false expectations; American gains were given back.

ELI5: Winning early does not prove you know why.

S17-P0068 (L58) S17-P0069 (L58) S17-P0070 (L58) S17-P0071 (L58)

Numbers

  • Value
    $10K
    Context
    American position
    Ref
    S17-P0070 (L58)
    Source excerpt
    put like 10K on American
  • Value
    $50K
    Context
    reported GameStop options profit in a day
    Ref
    S17-P0071 (L58)
    Source excerpt
    made 50k in a day

Psychology and decisions / Learning and review

The hardest instrument eventually became his specialization

S17 | Shahzad (Siylenia) | B: Reported experience

Attribution: highreported experience

Futures caused repeated failed attempts before becoming his sole current instrument. He returned because his strategy idea seemed better suited to futures and because challenge motivated him. This is a personal path, not evidence that persistence with any losing instrument is rewarded.

ELI5: He changed his method before succeeding in the same market.

S17-P0072 (L58) S17-P0073 (L58) S17-P0074 (L58)

Numbers

  • Value
    $11K
    Context
    first-week futures loss, approximate
    Ref
    S17-P0072 (L58)
    Source excerpt
    first week I was down like 11k

Development

Write every rule to diagnose edge decay

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit process description

His mentor advised documenting the complete method. Unspecified gaps make it impossible to tell whether losses arise from stated rules or hidden discretion. Coding forced those gaps into explicit decisions and made later adjustment more intelligible.

ELI5: You cannot repair a rule you never wrote down.

S17-P0074 (L58) S17-P0075 (L58) S17-P0081 (L58) S17-P0082 (L58) S17-P0083 (L58)

Learning and review / Testing and automation

Historical testing was used to build confidence before API execution

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit process description

He progressed from indicators and entries to testing whether the method worked historically, then connected execution through an API. No test period, transaction-cost model, out-of-sample statistics or code is provided.

ELI5: Testing was part of his process, but the test is not shown.

S17-P0076 (L58)

Testing and automation

Previous SPX zero-day method waited for direction

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit process description

His earlier manual options method avoided gambling at the open, waited for direction, and used a range-dependent premium stop. This is a historical options method, not the present futures system.

ELI5: Let the opening noise settle before deciding.

S17-P0077 (L58) S17-P0078 (L58)

Numbers

  • Value
    10-20 minutes
    Context
    wait after open
    Ref
    S17-P0078 (L58)
    Source excerpt
    first 10 20 minutes
  • Value
    about 25%
    Context
    usual options stop, dependent on range
    Ref
    S17-P0078 (L58)
    Source excerpt
    usually about 25% depending on the Range

Entries and execution

Selling against a winning option exchanged upside for protection

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit process description

After a substantial favorable move he often sold against the existing long position to collect premium and secure part of the trade. Strike selection, spread width, expiry details and final exit are not stated, so the exact payoff cannot be reconstructed.

ELI5: He traded some further upside for a buffer.

S17-P0079 (L58)

Numbers

  • Value
    maybe 50%
    Context
    approximate gain prompting sale against position
    Ref
    S17-P0079 (L58)
    Source excerpt
    maybe 50% I would usually sell against my position

Exits and adjustments / Losses and survival

Futures simplified his modeling problem

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit process description

He preferred futures to debit options because he could focus on price rather than Greeks and time decay. That is a simplification of the modeled exposure, not a claim futures are safer; he also explicitly sought leverage.

ELI5: Fewer moving parts can be easier to model, without lowering risk.

S17-P0079 (L58) S17-P0080 (L58) S17-P0056 (L58)

Strategy and regime / Testing and automation

Intermarket composite informed direction but is underspecified

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit process description

He describes entering DXY plus VX plus TNX plus TLT into a chart to combine dollar, volatility and Treasury-related information. Weighting, scaling, symbol definitions, directional interpretation and alignment are not provided. Do not convert this into a validated cross-asset predictor.

ELI5: He watches other markets, but the recipe is incomplete.

S17-P0080 (L58) S17-P0081 (L58)

Strategy and regime

Ten-minute EMA gate is only a partial rule

S17 | Shahzad (Siylenia) | E: Unclear or conflicting

Attribution: highexplicit process description

He goes long above the 21 EMA and short below it, conditional on crossovers. The caption prints crossover lengths as 57, plausibly spoken five and seven, but that cannot be certified from text alone. It is also unclear exactly which chart supplies each condition.

ELI5: The direction filter is stated; the whole entry rule is not.

S17-P0081 (L58)

Numbers

  • Value
    10-minute
    Context
    trading timeframe
    Ref
    S17-P0081 (L58)
    Source excerpt
    I tra on the 10-minute
  • Value
    21 EMA
    Context
    direction gate
    Ref
    S17-P0081 (L58)
    Source excerpt
    I go long above the 21 I go short below the 21
  • Value
    57
    Context
    unresolved crossover-length caption
    Ref
    S17-P0081 (L58)
    Source excerpt
    I use you know 57

Entries and execution

Automation does not remove self-imposed pressure

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit process description

He still regards himself as a novice and admits discipline problems. Success increased his desire for more, and he is developing mean-reversion and chop methods plus a collaborative intraday reversion concept. These are research projects, not demonstrated profitable systems.

ELI5: A bot cannot remove the urge to interfere.

S17-P0085 (L58) S17-P0086 (L58)

Psychology and decisions

Sleep deprivation and overnight losses spill into the main session

S17 | Shahzad (Siylenia) | B: Reported experience

Attribution: highreported experience

Discretionary aftermarket losses can affect his regular-session perception when he has not slept or mentally reset. He says fatigue produces more mistakes and tries to stay away or let the algorithm act. This is a personal operational constraint worth separating from signal edge.

ELI5: A bad night can contaminate the next trading day.

S17-P0087 (L58) S17-P0088 (L58) S17-P0089 (L58) S17-P0090 (L58)

Losses and survival / Learning and review

Human overrides remain an unresolved source of risk

S17 | Shahzad (Siylenia) | B: Reported experience

Attribution: highreported experience

He sometimes believes with high confidence that the algorithm will be wrong and overrides it. He acknowledges being wrong too. No comparison statistics establish that this discretion improves net results.

ELI5: Feeling certain is not proof an override helps.

S17-P0088 (L58) S17-P0089 (L58) S17-P0094 (L58)

Losses and survival / Testing and automation

A small manual account preserves screen time while limiting big-account interference

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit process description

He keeps a smaller account for discretionary exposure and observation while allowing larger capital to run systematically. No exact account split or position size is disclosed.

ELI5: Keep learning trades separate from the main engine.

S17-P0090 (L58) S17-P0091 (L58)

Sizing and exposure / Learning and review / Testing and automation

Separate logs compare manual trades with the algorithm

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit process description

He records what the algorithm did and what he did, then cross-references differences. Kinfo provides a cleaner high-level daily view and monthly review. This is process evidence, not a demonstrated conclusion that manual trading adds value.

ELI5: Compare your intervention with what the bot would have done.

S17-P0092 (L58) S17-P0093 (L58) S17-P0094 (L58) S17-P0095 (L58)

Learning and review

Large-index context differs from small-cap promotion

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit opinion

He considers ES harder for individual promoters to move than microcaps, but still sees simplistic paid indicator pitches as a danger. His market-impact statements are opinion, not quantified market-microstructure evidence.

ELI5: A different market still has bad teaching.

S17-P0096 (L58) S17-P0097 (L58)

Learning and review

Useful teaching and verified profitability are different

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit process description

He explicitly does not know whether one mentor was profitable, although the lessons helped him. A long-time friend was another trusted source. He mostly worked alone with selective help rather than cycling through many services.

ELI5: A helpful explanation is not a verified trading record.

S17-P0066 (L58) S17-P0067 (L58) S17-P0097 (L58) S17-P0098 (L58) S17-P0099 (L58) S17-P0100 (L58) S17-P0101 (L58)

Development / Evidence and limitations

Option-selling preference is philosophy rather than a disclosed method

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit opinion

He credits his friend with explaining the value of selling premium and contrasts rare spectacular option gains with consistency. No seller strategy or loss-tail analysis is supplied. It should not become an unconditional recommendation to sell options.

ELI5: The interview gives a preference, not a complete selling system.

S17-P0099 (L58) S17-P0100 (L58)

Learning and review

Loss control determines whether profits survive

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit process description

His central lesson is that making money is insufficient if a later loss removes it. He argues systematic rules make risk measurable. The host separately warns that a tired discretionary trader can let one loss escape; specific broker liquidation settings are not disclosed.

ELI5: Keeping the gains matters as much as making them.

S17-P0102 (L58) S17-P0103 (L58) S17-P0104 (L58)

Losses and survival

Discretionary risk borrows ATR discipline from automation

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit process description

He uses ATR, levels, consistent size and an effort not to overtrade for manual positions. His algorithm looks at levels for profits but not as much for stops. ATR length, exact sizing and daily risk caps are absent.

ELI5: Use volatility to frame risk, then keep size controlled.

S17-P0105 (L58) S17-P0106 (L58)

Sizing and exposure / Losses and survival

Aftermarket ATR numbers are explicitly tentative

S17 | Shahzad (Siylenia) | E: Unclear or conflicting

Attribution: highexplicit process description

He describes a usual one-to-two risk-reward objective, then gives tentative ATR multiples for stops and targets and admits he may be remembering incorrectly. These cannot safely be treated as a coherent fixed system.

ELI5: Do not automate a number the speaker says may be wrong.

S17-P0106 (L58) S17-P0107 (L58)

Numbers

  • Value
    1:2
    Context
    usual intended risk-reward
    Ref
    S17-P0106 (L58)
    Source excerpt
    one to two risk reward
  • Value
    2x or 3x ATR
    Context
    tentative stop multiplier
    Ref
    S17-P0107 (L58)
    Source excerpt
    2x or 3x of the ATR
  • Value
    3-4
    Context
    tentative profit multiplier
    Ref
    S17-P0107 (L58)
    Source excerpt
    three to four for my profits

Strategy and regime

Overnight context combines strong levels with range statistics

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit process description

For discretionary aftermarket trading he looks for strong volume-based or psychological levels; otherwise he considers ATR and standard deviations within the range because he expects chop. The volume-level and range definitions remain discretionary.

ELI5: He asks whether a strong level or the usual range explains price.

S17-P0108 (L58) S17-P0109 (L58)

Strategy and regime

Start with a strategy before coding to avoid overfitting

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit process description

He urges enough time and a working conceptual framework before code. Rushing from historical patterns into software can overfit and leave no room for forward testing. No exact validation split or acceptance criterion is prescribed.

ELI5: Do not build a machine that only remembers yesterday.

S17-P0110 (L58) S17-P0111 (L58) S17-P0112 (L58)

Testing and automation

Claims about AI and long horizons are speculative

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit untested opinion

He argues humans discard bad data and anticipate future data better than contemporary AI, and says algorithms lose effectiveness on longer timeframes. These are his opinions without presented comparative evidence and should not be generalized as facts.

ELI5: His view about AI is not a test result.

S17-P0112 (L58) S17-P0113 (L58)

Evidence and limitations

TradingView lowered implementation burden; Python migration was planned

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit process description

He recommends TradingView and Pine for a built-in UI and reduced development responsibilities. Python on AWS ECS is a possible future migration, not his established deployed architecture. His analogy of Pine to simplified Python is descriptive, not a technical specification.

ELI5: Start with tooling that removes plumbing work.

S17-P0113 (L58) S17-P0114 (L58)

Testing and automation

AI coding assistance is distinct from AI-generated edge

S17 | Shahzad (Siylenia) | A: Explicit statement

Attribution: highexplicit process description

Although skeptical that ChatGPT can invent a profitable strategy, he sees another trader use it for coding and encourages available tools. The distinction is implementation help versus evidence that a trading hypothesis works.

ELI5: AI can help write rules without proving those rules earn money.

S17-P0112 (L58) S17-P0115 (L58)

Learning and review

Performance surge is host-reported and concentrated

S18 | Host | A: Explicit statement

Attribution: highhost claim

The host reports nearly half a million total profits with much of it in recent months. These are interview claims, not a supplied reconciled ledger. The title is another rounded headline.

ELI5: Recent gains dominate the headline.

S18-P0001 (L1) S18-P0038 (L48)

Numbers

  • Value
    $484K
    Context
    $ total reported by host
    Ref
    S18-P0038 (L48)
    Source excerpt
    up 484,000
  • Value
    $338K
    Context
    last three months per host
    Ref
    S18-P0038 (L48)
    Source excerpt
    338K is in the last 3 months
  • Value
    $221K
    Context
    last month per host
    Ref
    S18-P0038 (L48)
    Source excerpt
    221K is in the last uh month

Evidence and limitations

Engineering background preceded a short live trading career

S18 | Jim (Jim37 / zhangji37) | B: Reported experience

Attribution: highself-report

Jim left a Google engineering path after becoming disenchanted with AI work and started a dedicated day-trading account in January 2024. He repeatedly calls himself a beginner despite results. This distinguishes software expertise from lengthy trading experience.

ELI5: Coding experience is not the same as market experience.

S18-P0042 (L48) S18-P0043 (L48)

Numbers

  • Value
    January 1, 2024
    Context
    first dedicated day-trading account
    Ref
    S18-P0042 (L48)
    Source excerpt
    January 1st, 2024

Development

Verification helped select learning sources

S18 | Jim (Jim37 / zhangji37) | A: Explicit statement

Attribution: highexplicit process description

He had trouble filtering misleading educators and used the Kinfo leaderboard to find resources. His statement that everyone there is legitimate is personal enthusiasm, not proof of teaching quality or future returns.

ELI5: A record helps screen claims but does not prove every lesson.

S18-P0039 (L48) S18-P0040 (L48) S18-P0041 (L48)

Learning and review / Evidence and limitations

Borrowed strategy ideas were modified and coded

S18 | Jim (Jim37 / zhangji37) | A: Explicit statement

Attribution: highexplicit process description

He learned across multiple groups and credits Mike, identified as Mike Huddie in the description. He began as a copycat but changed the gapper short method rather than simply shorting the open and covering the close.

ELI5: He adapted a known idea instead of inventing it from nothing.

S18-P0017 (L21) S18-P0041 (L48) S18-P0043 (L48) S18-P0044 (L48)

Development / Strategy and regime

Mechanical consistency is his core execution belief

S18 | Jim (Jim37 / zhangji37) | A: Explicit statement

Attribution: highexplicit process description

He attributes repeatability to executing like code. This is a philosophy supported by his reported implementation, not evidence all profitable traders must automate.

ELI5: Run the same rules to learn what the rules do.

S18-P0044 (L48) S18-P0045 (L48)

Psychology and decisions / Testing and automation

AI accelerated programming rather than generated the edge

S18 | Jim (Jim37 / zhangji37) | A: Explicit statement

Attribution: highexplicit process description

He uses ChatGPT for code, questions and early prototyping, with pre-existing programming expertise. He does not use it to invent the strategy and does not know how to make it do so currently.

ELI5: AI helped build the machine, not prove the trade.

S18-P0045 (L48) S18-P0046 (L48) S18-P0047 (L48)

Strategy and regime

Execution stack was assembled in layers over a command API

S18 | Jim (Jim37 / zhangji37) | A: Explicit statement

Attribution: mediumexplicit process description

He describes a socket-based API, then connection helpers, send/receive helpers and trading commands. Caption says DOS API, likely a rendering issue; precise provider/version and error-handling implementation are not supplied.

ELI5: Build communication first, then trade commands.

S18-P0048 (L48) S18-P0049 (L48)

Testing and automation

Selection uses minimum premarket gap and maximum capitalization

S18 | Jim (Jim37 / zhangji37) | A: Explicit statement

Attribution: highexplicit process description

A candidate must strictly meet conditions including a minimum premarket percentage gap and upper market-cap bound. Those thresholds and remaining conditions are not disclosed. Host mentions float and volume, but Jim does not provide concrete rules for them here.

ELI5: The filter exists, but its settings are missing.

S18-P0049 (L48) S18-P0050 (L48)

Strategy and regime

Entries occur under code after the open

S18 | Jim (Jim37 / zhangji37) | A: Explicit statement

Attribution: highexplicit process description

Jim confirms day-one gapper shorting and says code determines exactly when to enter after the market opens and when to exit. This does not mean immediate open entry, and the actual trigger remains undisclosed.

ELI5: After the bell is a window, not a full entry rule.

S18-P0044 (L48) S18-P0050 (L48) S18-P0057 (L48)

Entries and execution

After-hours covering is a tested but unquantified claimed improvement

S18 | Jim (Jim37 / zhangji37) | A: Explicit statement

Attribution: highexplicit process description

He reports superior backtest results from covering after hours rather than at the regular close. Manual quote monitoring was slow and stressful because liquidity is thin and spreads wide. Code tracks price to seek an exit, but the caption big price is ambiguous and order logic is absent.

ELI5: Waiting longer helped his test, but fills still matter.

S18-P0050 (L48) S18-P0051 (L48)

Exits and adjustments / Testing and automation

Full automation still allows discretionary intervention

S18 | Jim (Jim37 / zhangji37) | E: Unclear or conflicting

Attribution: highdescription versus qualified guest account

The program can execute without touching it, yet he sometimes intervenes emotionally or obtains locates earlier when cheaper than after-open automation. This qualification contradicts the description implication of no discretion at all.

ELI5: Automated capability does not mean zero human changes.

S18-P0014 (L17) S18-P0052 (L48)

Psychology and decisions / Testing and automation

Time-zone mismatch forced completion of automation

S18 | Jim (Jim37 / zhangji37) | B: Reported experience

Attribution: highself-report

A trip to Asia required sleeping through US market hours, pushing a previously partial system into full automation. Exact deployment date is only relative to interview.

ELI5: A practical constraint forced the last manual steps into code.

S18-P0053 (L48) S18-P0054 (L48)

Development / Learning and review

Unchanged code benefited from a favorable regime

S18 | Jim (Jim37 / zhangji37) | B: Reported experience

Attribution: highreported experience

He says the sharp June improvement came from repeating the same code as the market fit it better, not from special new changes. The host generalizes that many traders had a favorable June; that is separate anecdotal context.

ELI5: A better market can improve results without a better algorithm.

S18-P0055 (L48) S18-P0056 (L48) S18-P0057 (L48)

Strategy and regime / Evidence and limitations

Clustered stops were checked against historical behavior

S18 | Jim (Jim37 / zhangji37) | B: Reported experience

Attribution: highreported failure example

Two full stops occurred on the same day before the surge. He double-checked and triple-checked against backtest and live behavior, then continued because he considered the event within his distribution. No quantitative tolerance or correlation analysis is supplied.

ELI5: Check whether a loss is expected before changing everything.

S18-P0055 (L48) S18-P0056 (L48)

Numbers

  • Value
    two full stops
    Context
    same-day loss cluster
    Ref
    S18-P0056 (L48)
    Source excerpt
    two full stop losses happen the same same day

Losses and survival / Testing and automation

Large short stop is a price threshold, not entire account risk

S18 | Jim (Jim37 / zhangji37) | A: Explicit statement

Attribution: highexplicit process description

The discussed stop is approximately a 100% adverse move from the short entry, as clarified by the host and guest. It is not a stated 100% account-risk allocation. Exact fill behavior through halts or gaps is not demonstrated.

ELI5: A stock doubling is different from your account going to zero.

S18-P0058 (L48) S18-P0059 (L48) S18-P0060 (L48) S18-P0061 (L48) S18-P0063 (L48)

Numbers

  • Value
    100%
    Context
    adverse short-price threshold discussed
    Ref
    S18-P0060 (L48)
    Source excerpt
    100% above
  • Value
    100%
    Context
    guest stop threshold
    Ref
    S18-P0059 (L48)
    Source excerpt
    negative 100%

Exits and adjustments / Losses and survival

Kelly is used as an optimization score

S18 | Jim (Jim37 / zhangji37) | A: Explicit statement

Attribution: highexplicit process description

He says he selected the large stop because it optimized his Kelly criterion, combining win rate and payoff. He does not disclose the formula, sampling uncertainty, fractional Kelly use or actual account allocation. His simplified explanation is not a sufficient sizing model.

ELI5: One score cannot show all ways a strategy can fail.

S18-P0059 (L48) S18-P0064 (L48) S18-P0065 (L48)

Losses and survival

Smaller stops had repeatedly exited before reversal

S18 | Jim (Jim37 / zhangji37) | B: Reported experience

Attribution: highreported experience

After repeated tight-stop losses in January, he widened the stop because historical stocks often approached but did not cross the larger threshold before fading. He reports improvement from February. This retrospective tuning can itself fit past behavior; it does not establish future safety.

ELI5: A wider stop avoids some noise but makes the misses bigger.

S18-P0061 (L48) S18-P0062 (L48)

Numbers

  • Value
    four
    Context
    consecutive tight-stop losses
    Ref
    S18-P0062 (L48)
    Source excerpt
    stopped for four times in a row

Exits and adjustments / Learning and review

Large stops require small size and strict execution

S18 | Jim (Jim37 / zhangji37) | A: Explicit statement

Attribution: highexplicit process description

Jim says the stop determines sizing and requires small positions. The host warns that refusing to cover after a huge rise breaks the system. The host estimates notional dollars from charts; these are rough inferred examples, not a declared fixed-size rule.

ELI5: Big room for price needs small exposure.

S18-P0063 (L48) S18-P0064 (L48)

Numbers

  • Value
    $27K-$30K
    Context
    host rough short-notional inference, not fixed rule
    Ref
    S18-P0064 (L48)
    Source excerpt
    $30,000 roughly or $27,000

Sizing and exposure / Psychology and decisions

Historical win rate excludes slippage and fees

S18 | Jim (Jim37 / zhangji37) | B: Reported experience

Attribution: highunverified backtest claim with explicit limitation

He reports a win rate above 75% in all but one of ten historical years, while explicitly acknowledging no slippage or fees. Those omissions are central for locate-dependent shorts and illiquid exits; neither high win rate nor Kelly score establishes net profitability.

ELI5: A clean simulation can hide expensive real trades.

S18-P0065 (L48)

Numbers

  • Value
    10 years
    Context
    reported history
    Ref
    S18-P0065 (L48)
    Source excerpt
    past 10 years
  • Value
    over 75%
    Context
    all but one year, before stated costs
    Ref
    S18-P0065 (L48)
    Source excerpt
    win rate larger than 75%

Testing and automation / Evidence and limitations

Account cash reset is separate from career start

S18 | Jim (Jim37 / zhangji37) | B: Reported experience

Attribution: highself-report

For January of the interview year he says he withdrew excess cash and retained $100K, and corrects the host to $500K current account rather than $600K. This is not the same date as opening his first day-trading account in 2024.

ELI5: Account balance and lifetime profit are different numbers.

S18-P0042 (L48) S18-P0066 (L48)

Numbers

  • Value
    $100K
    Context
    cash retained at start of interview year
    Ref
    S18-P0066 (L48)
    Source excerpt
    only kept 100K
  • Value
    $500K
    Context
    current account balance correction
    Ref
    S18-P0066 (L48)
    Source excerpt
    it's 500k right now, but not six

Sizing and exposure

Removing inherited filters improved his test and later experience

S18 | Jim (Jim37 / zhangji37) | A: Explicit statement

Attribution: highexplicit process description

He discarded some low-float and price exclusions learned from others after testing suggested they did not help. He interprets the earlier more complex setup as overfit. This supports evaluating filters, not assuming fewer filters always win.

ELI5: A popular rule still needs evidence.

S18-P0068 (L48) S18-P0069 (L48) S18-P0070 (L48)

Strategy and regime / Testing and automation

Very low price is not automatically excluded

S18 | Jim (Jim37 / zhangji37) | A: Explicit statement

Attribution: highexplicit process description

He confirms shorting low-priced stocks and states an approximate lower bound of ten cents. Other undisclosed conditions still apply, so this is not permission to short every dime stock.

ELI5: A low price does not bypass the rest of his filter.

S18-P0070 (L48)

Numbers

  • Value
    $0.10
    Context
    stated lower price bound with I think qualifier
    Ref
    S18-P0070 (L48)
    Source excerpt
    my lower bound is actually I think it's 0.1

Strategy and regime

Repeatability separates a pattern idea from a strategy

S18 | Jim (Jim37 / zhangji37) | A: Explicit statement

Attribution: highexplicit process description

Beginners, in his view, focus on recognizing patterns without showing recurrence. He uses historical evaluation to compare indicators and alternatives rather than endlessly adding signals.

ELI5: A pattern needs repeated results, not one attractive chart.

S18-P0071 (L48) S18-P0072 (L48) S18-P0078 (L48)

Learning and review

Long backtests help but cannot eliminate overfitting

S18 | Jim (Jim37 / zhangji37) | A: Explicit statement

Attribution: highexplicit process description

He wants broad history spanning changing regimes. When the host suggests a decade cannot overfit, Jim explicitly disagrees. He still regards ten years as helpful, but provides no holdout protocol, data-bias audit or guarantee.

ELI5: More years help; they do not make a test infallible.

S18-P0072 (L48) S18-P0073 (L48) S18-P0074 (L48)

Testing and automation

Backtest experience is a metaphor, not equivalent live experience

S18 | Jim (Jim37 / zhangji37) | A: Explicit statement

Attribution: highexplicit opinion

He describes following a decade-tested strategy as gaining that experience quickly. This is his learning metaphor; it does not substitute for handling real fills, operations and psychological stress. He acknowledges short live tenure.

ELI5: A simulation teaches, but it has never had a live order fail.

S18-P0072 (L48) S18-P0073 (L48)

Learning and review / Evidence and limitations

Institutional backtesting stories are anecdotal

S18 | Jim (Jim37 / zhangji37) | B: Reported experience

Attribution: highsecondhand reported experience

He recounts Wall Street contacts requiring backtests for ideas, even fundamentals or news, and emphasizes data value. The host separately repeats hiring-track-record hearsay. Neither account proves a universal institutional policy.

ELI5: Test ideas, but do not turn anecdotes into industry rules.

S18-P0076 (L48) S18-P0077 (L48)

Testing and automation

Host failed after a narrow manual sample

S18 | Stephen Johnson | B: Reported experience

Attribution: highhost self-report

The host reports roughly 500 spreadsheet records across two years, followed by losses when conditions changed. This is not Jims backtest. It illustrates the coverage issue they discuss without proving sample length alone caused failure.

ELI5: Many trades can still come from too few kinds of market.

S18-P0078 (L48) S18-P0079 (L48)

Numbers

  • Value
    500 / two years
    Context
    approximate host manual test
    Ref
    S18-P0079 (L48)
    Source excerpt
    2 years, 500 or so records

Strategy and regime / Testing and automation

Polygon is his stated data source

S18 | Jim (Jim37 / zhangji37) | A: Explicit statement

Attribution: highexplicit process description

He names polygon.io for backtesting, without dataset version, adjustment settings, delisted coverage or point-in-time fundamentals. A provider name alone does not establish a bias-free study.

ELI5: Where data comes from is only the first check.

S18-P0079 (L48)

Testing and automation

Early break-even period and losing examples temper the success narrative

S18 | Jim (Jim37 / zhangji37) | B: Reported experience

Attribution: highself-report; host overinterpretation flagged

He calls the first six months horrible and says he was lucky to break even. He deliberately chooses failure charts instead of only winners, but the supplied text lacks visible chart details and tickers. The host interpretation of no drawdown is not entailed by period-end break-even.

ELI5: Finishing flat does not mean the journey was smooth.

S18-P0058 (L48) S18-P0067 (L48) S18-P0080 (L48) S18-P0081 (L48)

Development / Losses and survival / Psychology and decisions

Entrepreneurship to meme-stock FOMO

S19 | Arsalan (arslinnn) | B: Reported experience

Attribution: highexplicit process description

An electronics business shutdown left time at home; friends describing meme-stock gains while gaming prompted trading. Caption says January 2001 but surrounding COVID/2021 events indicate an unresolved transcription error, not a literal career date.

ELI5: Friends winning drew him into an unfamiliar market.

S19-P0039 (L46) S19-P0040 (L46) S19-P0041 (L46)

Development

First oversized long lost quickly

S19 | Arsalan (arslinnn) | B: Reported experience

Attribution: highexplicit process description

He recalls market-buying about 14,000 NAKD shares at the open through a basic bank website and losing about six thousand within an hour. This was imitation and size before process.

ELI5: His first big bet arrived before trading skill.

S19-P0041 (L46) S19-P0042 (L46)

Numbers

  • Value
    14,000 shares
    Context
    Recalled initial NAKD position
    Ref
    S19-P0041 (L46)
    Source excerpt
    14,000 shares
  • Value
    six grand
    Context
    Approximate first loss
    Ref
    S19-P0042 (L46)
    Source excerpt
    down like six grand

Development / Losses and survival

Observation and simulated shorts preceded growth

S19 | Arsalan (arslinnn) | A: Explicit statement

Attribution: highexplicit process description

He watched a mentor stream with scanners for long days, used an IBKR demo and began small short scalps when borrow existed. He shifted from trying longs toward shorting secondary extensions.

ELI5: Watch, simulate, then use small real attempts.

S19-P0042 (L46) S19-P0043 (L46) S19-P0044 (L46) S19-P0045 (L46) S19-P0046 (L46)

Development / Learning and review

Avoid dominant 2021 runners

S19 | Arsalan (arslinnn) | A: Explicit statement

Attribution: highexplicit process description

He selected side stocks because main gappers could keep squeezing. His AUVI example is a retrospective warning against assuming every large gap fades, not a universal long recommendation.

ELI5: The obvious biggest runner was often dangerous to short.

S19-P0045 (L46) S19-P0046 (L46)

Strategy and regime

News long was not adopted as reliable edge

S19 | Arsalan (arslinnn) | B: Reported experience

Attribution: highexplicit process description

A profitable NFT-related sympathy long increased buying power, but he thought getting news early was unlikely to repeat. Ticker captions vary, so identity remains uncertain.

ELI5: One lucky news win did not define his method.

S19-P0046 (L46) S19-P0047 (L46)

Development / Strategy and regime

Borrow access changed opportunity set

S19 | Arsalan (arslinnn) | E: Unclear or conflicting

Attribution: highexplicit process description

IBKR inventory constrained the short strategy, leading to a premium broker in autumn 2021. He alternates September and October, so exact opening month is uncertain.

ELI5: A signal was unusable without borrow.

S19-P0047 (L46) S19-P0048 (L46) S19-P0066 (L46)

Entries and execution / Testing and automation

Early averaging success rewarded dangerous habits

S19 | Arsalan (arslinnn) | B: Reported experience

Attribution: highexplicit process description

In a DWAC-sympathy name captioned Phu, widely spaced small adds built a much larger short. A severe halt-down reopening produced a large win, although his faraway stop could have caused substantial loss. He calls this unsophisticated, not a safe scaling template.

ELI5: A lucky collapse paid a risky position.

S19-P0048 (L46) S19-P0049 (L46)

Numbers

  • Value
    4K shares
    Context
    Approximate accumulated position
    Ref
    S19-P0049 (L46)
    Source excerpt
    4K shares
  • Value
    20 grand
    Context
    Reported immediate gain
    Ref
    S19-P0049 (L46)
    Source excerpt
    up 20 grand

Development / Losses and survival

High win rate coexisted with severe drawdown

S19 | Stephen Johnson and Arsalan | E: Unclear or conflicting

Attribution: highsource-reported unreconciled performance

Host reports about 177K cumulative profit and just under 90 percent wins after a peak near half a million. Caption 450 million is inconsistent with the entire episode; do not use it literally or infer an exact reconciled peak.

ELI5: Winning often did not prevent a major loss.

S19-P0037 (L46) S19-P0050 (L46) S19-P0051 (L46) S19-P0065 (L46)

Numbers

  • Value
    177k
    Context
    Host displayed profit reading
    Ref
    S19-P0050 (L46)
    Source excerpt
    profits 177k
  • Value
    just under 90%
    Context
    Host win-rate reading
    Ref
    S19-P0050 (L46)
    Source excerpt
    just under 90%

Losses and survival / Evidence and limitations

TOP loss crossed into after hours, not overnight

S19 | Arsalan (arslinnn) | B: Reported experience

Attribution: highexplicit process description

Guest explicitly corrects the host: the TOP short was intraday and exited shortly after the after-hours bell. Holding into a thin extended session, oversized exposure and freezing are the material failures; calling it an overnight hold misstates this event.

ELI5: A few seconds after the close were enough.

S19-P0051 (L46) S19-P0052 (L46) S19-P0056 (L46) S19-P0057 (L46) S19-P0059 (L46) S19-P0064 (L46) S19-P0065 (L46)

Numbers

  • Value
    200k loss
    Context
    Approximate loss discussed by host
    Ref
    S19-P0056 (L46)
    Source excerpt
    a 200k loss
  • Value
    10K shares
    Context
    Guest approximate position
    Ref
    S19-P0052 (L46)
    Source excerpt
    10K shares
  • Value
    30 seconds
    Context
    Approximate delay after close before exit
    Ref
    S19-P0064 (L46)
    Source excerpt
    30 seconds after

Losses and survival

Missed exit before catastrophe

S19 | Arsalan (arslinnn) | B: Reported experience

Attribution: highexplicit process description

He was temporarily profitable after scaling into the TOP parabolic, then stayed despite red flags. Before extended hours the loss was still a recoverable month of gains; after the jump he froze until broker liquidation prompted manual exits. He mentions being hungover but rejects it as an excuse.

ELI5: Several earlier exits were available before panic.

S19-P0051 (L46) S19-P0052 (L46) S19-P0053 (L46) S19-P0057 (L46) S19-P0104 (L46)

Losses and survival / Psychology and decisions

Size and liquidity make exits nonlinear

S19 | Arsalan (arslinnn) | A: Explicit statement

Attribution: highexplicit process description

He describes successive fills many dollars apart when closing a large thin-name short after hours. Exact quote sequence is illustrative/recalled, not a fill ledger. Waiting for broker rescue is not a controlled execution plan.

ELI5: A large exit can consume many price levels.

S19-P0059 (L46) S19-P0060 (L46) S19-P0064 (L46) S19-P0065 (L46)

Entries and execution

Host broker-liquidation story is separate

S19 | Stephen Johnson | B: Reported experience

Attribution: highhost personal anecdote

Stephen recounts his own nearly depleted account and eventual large loss while wondering why the broker did not close him. Those figures and that broker behavior must not be attributed to Arsalan.

ELI5: Two people tell different loss stories.

S19-P0053 (L46) S19-P0054 (L46)

Losses and survival

Interest income encouraged retained capital

S19 | Arsalan (arslinnn) | B: Reported experience

Attribution: highexplicit process description

He says rising account cash earned appealing interest and client benefits, while position sizing did not rise proportionately for a period. Capital retention nevertheless exposed money he later wished he had withdrawn.

ELI5: Cash benefits encouraged leaving more money at risk.

S19-P0055 (L46) S19-P0056 (L46) S19-P0069 (L46)

Numbers

  • Value
    3K
    Context
    Reported approximate monthly interest at peak
    Ref
    S19-P0055 (L46)
    Source excerpt
    getting like 3K

Sizing and exposure / Psychology and decisions

Attention rotation can be an exit warning

S19 | Arsalan (arslinnn) | B: Reported experience

Attribution: highexplicit process description

In a later uncertain-ticker Chinese-stock example, volume flowed into his short while leaving peers. He used the first flush to escape near average with a small loss instead of treating all dips as permission to wait.

ELI5: A stock taking over attention can squeeze harder.

S19-P0058 (L46) S19-P0059 (L46)

Numbers

  • Value
    $50 loss
    Context
    Reported later controlled exit
    Ref
    S19-P0058 (L46)
    Source excerpt
    a $50 loss
  • Value
    $300
    Context
    Reported worst open loss in that trade
    Ref
    S19-P0059 (L46)
    Source excerpt
    down like $300

Strategy and regime / Exits and adjustments

Larger float is preference, not safety guarantee

S19 | Arsalan (arslinnn) | A: Explicit statement

Attribution: highexplicit process description

He chose DUO as relatively heavier than thinner peers but ultimately says he wants intraday only and would take the loss instead of being forced to swing. The host warns stated float may differ from actually tradable liquidity.

ELI5: Heavier can be safer, but does not make a stuck short safe.

S19-P0061 (L46) S19-P0062 (L46) S19-P0063 (L46)

Strategy and regime / Losses and survival

Mentor knowledge was not enforced

S19 | Arsalan (arslinnn) | A: Explicit statement

Attribution: highexplicit process description

He had paid for multiple education sources that taught withdrawals and stops. He concedes he thought himself too good for these protections and lacked experience for the capital available.

ELI5: Knowing the rule did not make him follow it.

S19-P0068 (L46) S19-P0069 (L46)

Psychology and decisions / Learning and review

Broker max loss is backup, not routine exit

S19 | Arsalan (arslinnn) | A: Explicit statement

Attribution: highexplicit process description

He now reports broker max losses on both accounts and says the trader should normally cut before that protection fires. Exact thresholds, session scope and fill guarantees are absent.

ELI5: The emergency brake does not replace steering.

S19-P0069 (L46) S19-P0070 (L46) S19-P0072 (L46)

Losses and survival / Testing and automation

Simulator cannot teach actual fills

S19 | Arsalan (arslinnn) | A: Explicit statement

Attribution: highexplicit process description

Paper trading builds screen time but does not reproduce real execution. He advocates very small shares because thin-name fill behavior is part of the skill. His small individual bullets can still aggregate to thousands.

ELI5: Fake fills cannot teach every live problem.

S19-P0070 (L46) S19-P0071 (L46) S19-P0080 (L46) S19-P0099 (L46)

Entries and execution / Learning and review

Historical short-scalp ladder

S19 | Arsalan (arslinnn) | A: Explicit statement

Attribution: highexplicit process description

He placed spaced small limit shorts into extensions, covered all on a small flush below average, then reset higher or moved to another stock. The illustrative ladder is not a universal price-spacing rule.

ELI5: Sell successive pops, cover the small dip, start over.

S19-P0074 (L46) S19-P0075 (L46) S19-P0076 (L46) S19-P0078 (L46)

Numbers

  • Value
    10 cents
    Context
    Illustrative flush capture from average
    Ref
    S19-P0075 (L46)
    Source excerpt
    1120 10 cents

Strategy and regime / Entries and execution / Exits and adjustments

Whole-dollar front-running was an observation

S19 | Arsalan (arslinnn) | A: Explicit statement

Attribution: highexplicit process description

He placed an order at .99 because some moves stopped before the whole dollar. This empirical preference is not evidence of a permanent one-cent edge.

ELI5: He avoided waiting for a round number that might never print.

S19-P0075 (L46) S19-P0076 (L46)

Entries and execution

Late-day squeeze supplied historical scalps

S19 | Arsalan (arslinnn) | A: Explicit statement

Attribution: highexplicit process description

He describes the last two hours as a time trapped shorts drove extensions, followed by enough flush to exit. He admits fighting the trend and missing the subsequent larger downside.

ELI5: He harvested pullbacks in a trend he was betting against.

S19-P0076 (L46) S19-P0077 (L46) S19-P0078 (L46) S19-P0079 (L46)

Strategy and regime / Entries and execution

Regime change weakens retrospective confidence

S19 | Arsalan (arslinnn) | C: Analyst inference

Attribution: highanalyst qualification of guest regime observations

He says older stocks oscillated more and recent behavior is harder and more algorithmic, explicitly uncertain about the cause. Past ladder profits do not establish current net expectancy.

ELI5: The old bounce rhythm may not persist.

S19-P0077 (L46) S19-P0079 (L46) S19-P0101 (L46) S19-P0102 (L46)

Strategy and regime

DUO example numbers are approximate and inconsistent

S19 | Arsalan (arslinnn) | E: Unclear or conflicting

Attribution: highexplicit process description

He describes roughly 375-share bullets about ten cents apart, six arrows, an average near 3.25 and total 2,175, later 2,275. Six times 375 is 2,250, so preserve this as approximate narration rather than reconcile invented fills.

ELI5: The chart story is not an exact trade ledger.

S19-P0080 (L46) S19-P0081 (L46) S19-P0082 (L46) S19-P0099 (L46)

Numbers

  • Value
    375 shares
    Context
    Reported approximate DUO bullet
    Ref
    S19-P0080 (L46)
    Source excerpt
    375 shares
  • Value
    2,175 shares
    Context
    First reported total
    Ref
    S19-P0080 (L46)
    Source excerpt
    2,175 shares
  • Value
    3,750 shares
    Context
    Possible size if further planned adds filled
    Ref
    S19-P0081 (L46)
    Source excerpt
    3,750 shares

Evidence and limitations / Concrete examples

DUO early cover mixed plan and fear

S19 | Arsalan (arslinnn) | B: Reported experience

Attribution: highexplicit process description

He judged DUO weaker than peers and intended a deeper cover near lower chart levels, but panicked into a small flush exit. The source calls this an area to improve, while also acknowledging his preference for quick covers.

ELI5: The quick profit was partly a fear response.

S19-P0083 (L46) S19-P0084 (L46) S19-P0086 (L46)

Exits and adjustments / Psychology and decisions

Week-of-profit risk remains a concern

S19 | Arsalan (arslinnn) | C: Analyst inference

Attribution: highanalyst qualification grounded in guest admission

He describes being willing to lose around a dollar per share and roughly a future week of profits, but admits current weekly earnings are lower. Host reassurance that wins make it worthwhile is not a measured expectancy analysis.

ELI5: A planned loss can still be large relative to current earning power.

S19-P0099 (L46) S19-P0100 (L46) S19-P0101 (L46)

Losses and survival

Gap-up short is a developing second approach

S19 | Arsalan (arslinnn) | A: Explicit statement

Attribution: highexplicit process description

He is collecting every candidate chart and doing data tests, seeking an approach distinct from peers. No complete gap, volume, price or catalyst filters are supplied; a first-red-day chart is ambiguously classified.

ELI5: The newer method is still being researched.

S19-P0079 (L46) S19-P0080 (L46) S19-P0087 (L46) S19-P0088 (L46) S19-P0089 (L46)

Strategy and regime

Time-of-day strength is a caution

S19 | Arsalan (arslinnn) | A: Explicit statement

Attribution: highexplicit process description

For gap shorts he does not want a name rising or making new highs around 10:30. Regular-session stops let him look away briefly, not abandon monitoring. Timezone is contextual, not explicitly stated.

ELI5: A strong late-morning stock challenges the fade thesis.

S19-P0090 (L46)

Numbers

  • Value
    10:30
    Context
    Guest caution time
    Ref
    S19-P0090 (L46)
    Source excerpt
    new Highs at 10:30

Entries and execution / Losses and survival

OC example has a finite stop beyond the ladder

S19 | Arsalan (arslinnn) | A: Explicit statement

Attribution: highexplicit process description

For the ticker captioned OC, he describes entries 4.19 and 4.39 with subsequent roughly twenty-cent spacing through 4.99, then a buy-to-cover at 5.20 instead of another add. These are one-trade levels, not reusable absolute prices.

ELI5: At a defined point the next order exits, not adds.

S19-P0092 (L46) S19-P0094 (L46) S19-P0095 (L46)

Numbers

  • Value
    419
    Context
    Captioned first entry, interpreted 4.19 from context
    Ref
    S19-P0095 (L46)
    Source excerpt
    first entry was 419
  • Value
    439
    Context
    Captioned second entry, interpreted 4.39
    Ref
    S19-P0095 (L46)
    Source excerpt
    second entry was 439
  • Value
    520
    Context
    Captioned stop, interpreted 5.20
    Ref
    S19-P0095 (L46)
    Source excerpt
    after that 520

Entries and execution / Testing and automation / Concrete examples

Halt bands guide entries but introduce event risk

S19 | Arsalan (arslinnn) | B: Reported experience

Attribution: highexplicit process description

He placed limits near a halt threshold in the thin OC example, captured the flush and regretted missing a later high-of-day-risk re-entry. Regret is hindsight, not an established mandatory re-entry rule.

ELI5: The halt boundary shaped placement, not a guarantee of reversal.

S19-P0092 (L46) S19-P0093 (L46)

Entries and execution

Locate costs can distort behavior

S19 | Arsalan (arslinnn) | A: Explicit statement

Attribution: highexplicit process description

He avoids committing too much to expensive nano-float locates because sunk cost makes him eager to enter and scale too aggressively. He favors proportional small scaling while learning the setup.

ELI5: Paying for borrow can create pressure to use it.

S19-P0093 (L46) S19-P0094 (L46)

Entries and execution / Sizing and exposure / Psychology and decisions

First flush is a deliberate payout preference

S19 | Arsalan (arslinnn) | A: Explicit statement

Attribution: highexplicit process description

He likes an initial flush, possibly returning to scalps or ending the day, rather than holding all day. This preference coexists with regret over missed larger fades, an unresolved tradeoff to test.

ELI5: He trades some upside for an earlier exit.

S19-P0091 (L46) S19-P0092 (L46) S19-P0093 (L46) S19-P0096 (L46)

Exits and adjustments

Tooling and routine support discovery

S19 | Arsalan (arslinnn) | A: Explicit statement

Attribution: highexplicit process description

He credits a scanner with expanding visibility, tracks after-hours runners for tomorrow, journals charts and candidate setups and recommends an evening job to preserve market screen time. Product efficacy is personal opinion, not a demonstrated causal result.

ELI5: Find, record and review opportunities consistently.

S19-P0073 (L46) S19-P0074 (L46) S19-P0105 (L46) S19-P0106 (L46)

Learning and review / Testing and automation

Profit history does not isolate strategy from behavior

S19 | Analyst | C: Analyst inference

Attribution: highanalyst inference

Host frames the catastrophe as only a rule-breaking mistake and concludes the strategy works. Analyst qualification: a strategy that repeatedly tempts oversized averaging needs implementation-tail-risk evaluation; historical wins alone do not separate this risk from the method.

ELI5: Execution failures belong in the strategy risk assessment.

S19-P0103 (L46) S19-P0104 (L46) S19-P0107 (L46)

Application

Analyst-proposed: evaluate complete net return distribution and actual compliance, not just compliant-trade backtests.

Losses and survival

Development includes two unprofitable years

S20 | Justin, TBOWS / The Bear of Wall Street | B: Reported experience

Attribution: highexplicit process description

Justin reports four years trading with the first two unprofitable while trying options, long small/large caps and spreads. Shorting became the only consistently profitable area in his experience.

ELI5: He found specialization after unsuccessful experimentation.

S20-P0046 (L54) S20-P0047 (L54) S20-P0083 (L54)

Numbers

  • Value
    four years
    Context
    Trading duration at interview
    Ref
    S20-P0046 (L54)
    Source excerpt
    about four years
  • Value
    two years
    Context
    Initial unprofitable period
    Ref
    S20-P0046 (L54)
    Source excerpt
    first two years weren

Development

Backtesting means retrospective chart study here

S20 | Justin, TBOWS / The Bear of Wall Street | E: Unclear or conflicting

Attribution: highexplicit process description

After initially discussing automated platforms and data, he clarifies that he uses backtesting loosely: looking back through charts to see how often a pattern plays out. No coded experiment, sample size, held-out test or cost model is established.

ELI5: Chart review is not automatically a statistical backtest.

S20-P0048 (L54) S20-P0049 (L54) S20-P0056 (L54) S20-P0057 (L54)

Evidence and limitations

Phone execution supports other work

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

He says every trading dollar was made on mobile and that more screens did not help him. He runs retail operations and pursues real estate, arranging most trading before daytime duties. This is his workflow, not proof that phone execution is equivalent under stress.

ELI5: He designed trading around his working day.

S20-P0050 (L54) S20-P0051 (L54) S20-P0052 (L54) S20-P0053 (L54)

Testing and automation

Time windows separate variants

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

He uses early premarket, later premarket, the opening half-hour, daytime scalps and after-hours/swing variations. Scheduling flexibility does not mean one entry rule works in every session.

ELI5: Different hours get different playbooks.

S20-P0052 (L54) S20-P0053 (L54) S20-P0089 (L54) S20-P0097 (L54) S20-P0098 (L54) S20-P0100 (L54) S20-P0101 (L54)

Strategy and regime / Entries and execution

Small-cap fade thesis across regimes

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

He believes small stocks spike in both bull and bear markets, with stronger pops in bull markets and faster declines in bear markets. This is qualitative observation, not demonstrated macro independence.

ELI5: The pop-and-fade idea changes character with conditions.

S20-P0045 (L54) S20-P0046 (L54)

Strategy and regime

Premarket preferred for uninterrupted sharp pops

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

He likes fast premarket spikes; he says regular-session halts interrupt intensity and change the setup. This describes his preference and historical observation, not a full statement of current halt rules.

ELI5: A halt changes the rhythm he wants to trade.

S20-P0053 (L54) S20-P0054 (L54)

Entries and execution

Levels and one moving average guide exits

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

He tracks highs, bounce levels and broken support. His only named indicator is a moving average, mainly for profit taking where price may bounce; the period and type are not given.

ELI5: He uses chart landmarks to decide where to cover.

S20-P0055 (L54)

Exits and adjustments

Eventual decline is not a safety net

S20 | Analyst | C: Analyst inference

Attribution: highanalyst inference

He calls eventual microcap fade a kind of safety net for imperfect shorts, while acknowledging unlimited losses and severe prior losses. Analyst qualification: an eventual decline cannot protect capital from an intervening squeeze or liquidation.

ELI5: Being right later does not save a position that fails first.

S20-P0058 (L54) S20-P0059 (L54) S20-P0065 (L54) S20-P0066 (L54)

Strategy and regime / Losses and survival

Failure-rate explanation is speculative

S20 | Justin, TBOWS / The Bear of Wall Street | E: Unclear or conflicting

Attribution: highunsupported guest generalization

Guest guesses very high trader-failure percentages and attributes them to going long small caps. Neither the base rate nor causal explanation is substantiated; long profitability is acknowledged elsewhere.

ELI5: A guessed failure rate does not prove one direction superior.

S20-P0057 (L54) S20-P0058 (L54)

Evidence and limitations

Profit tracking starts with entity, not entire career

S20 | Justin, TBOWS / The Bear of Wall Street | E: Unclear or conflicting

Attribution: highexplicit process description

He began Kinfo tracking when creating The Bear of Wall Street entity in 2024 and says prior gains are absent. Host introduction labels totals on the year, while later curve spans 2024 into interview year; exact period needs reconciliation.

ELI5: The displayed curve is only a slice of the career.

S20-P0043 (L54) S20-P0061 (L54) S20-P0062 (L54) S20-P0063 (L54) S20-P0110 (L54)

Numbers

  • Value
    199K
    Context
    Host introductory total labeled on the year
    Ref
    S20-P0043 (L54)
    Source excerpt
    199K on the year
  • Value
    200k
    Context
    Guest says milestone hit that day
    Ref
    S20-P0043 (L54)
    Source excerpt
    200k milestone

Evidence and limitations

Reporting convention affects daily profit

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

He says broker daily figures for overnight holdings differ from Kinfo completed-position accounting, which he prefers. This is his reported platform experience, not an audited accounting specification.

ELI5: When a trade is counted changes the daily chart.

S20-P0044 (L54)

Evidence and limitations

Two DRUG losses caused the large drawdown

S20 | Justin, TBOWS / The Bear of Wall Street | B: Reported experience

Attribution: highexplicit process description

Reported cumulative profit near 140/142K fell to 67K then 39K. The first averaging short ignored a new high and was broker-liquidated; the next day he re-entered near a perceived prior ceiling and lost again. Description shorthand of a 100K loss blends the sequence.

ELI5: One failure was followed by another attempt before recovery.

S20-P0063 (L54) S20-P0064 (L54) S20-P0065 (L54) S20-P0066 (L54)

Numbers

  • Value
    142K
    Context
    Approximate pre-loss cumulative profit
    Ref
    S20-P0063 (L54)
    Source excerpt
    142K
  • Value
    67
    Context
    First post-loss curve level, thousands from context
    Ref
    S20-P0063 (L54)
    Source excerpt
    140 down to 67
  • Value
    39K
    Context
    Subsequent curve trough
    Ref
    S20-P0063 (L54)
    Source excerpt
    39K
  • Value
    26k loss
    Context
    Recalled following-day loss
    Ref
    S20-P0066 (L54)
    Source excerpt
    26k loss

Losses and survival

A halt-up was mistaken for eventual opportunity

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

He likes halt-ups because he expects a brutal fall, but in DRUG kept averaging while very red and failed to exit on a fresh high. The same expected payoff encouraged fighting current strength.

ELI5: The hoped-for collapse distracted from the continuing squeeze.

S20-P0065 (L54) S20-P0066 (L54) S20-P0067 (L54)

Losses and survival / Psychology and decisions

Large loss was hidden and recovery slow

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

He kept the drawdown from family/friends and says his headspace was poor, questioning whether silence was wise. Recovery took months of daily trading into the following year.

ELI5: The recovery cost time and emotional capacity.

S20-P0063 (L54) S20-P0070 (L54) S20-P0071 (L54)

Psychology and decisions

High win rate did not solve stop discipline

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

He reports roughly 92 to 93 percent wins and comfort with a 10-15K loss, but admits deciding when to quit is his hardest problem. These are not independently verified strategy statistics or an enforced loss cap.

ELI5: Many small wins cannot define a safe maximum loss.

S20-P0068 (L54) S20-P0069 (L54)

Numbers

  • Value
    93%
    Context
    Approximate self-reported win rate
    Ref
    S20-P0069 (L54)
    Source excerpt
    93% win rate
  • Value
    10 or 15k
    Context
    Loss he says he could have accepted
    Ref
    S20-P0069 (L54)
    Source excerpt
    10 or 15k loss

Losses and survival

Host backtest win rate belongs to host

S20 | Stephen Johnson | B: Reported experience

Attribution: highexplicit process description

Stephen cites about 82 percent from his own conditional Edge to Trade work. It is not Justin reported test or proof of Justin reported execution expectancy.

ELI5: Do not merge two traders tests.

S20-P0067 (L54) S20-P0068 (L54)

Numbers

  • Value
    82%
    Context
    Host conditional backtest estimate
    Ref
    S20-P0067 (L54)
    Source excerpt
    82% win rate

Strategy and regime

Recent drawdown shows risk remains unfinished

S20 | Justin, TBOWS / The Bear of Wall Street | B: Reported experience

Attribution: highexplicit process description

He reports a later curve decline from 219 to 186K, calling it around 30K, and says prior pain helped him stop sooner. It was still larger than intended, so improvement is not elimination of the problem.

ELI5: A smaller disaster can still exceed the plan.

S20-P0072 (L54)

Numbers

  • Value
    219 to 186
    Context
    Reported cumulative-profit decline, thousands
    Ref
    S20-P0072 (L54)
    Source excerpt
    219, then dropped all the way to 186
  • Value
    30k
    Context
    Guest rounded loss description
    Ref
    S20-P0072 (L54)
    Source excerpt
    30k loss

Losses and survival / Learning and review

Brain-injury recovery shaped motivation

S20 | Justin, TBOWS / The Bear of Wall Street | B: Reported experience

Attribution: highexplicit process description

He reports a brain injury ending nursing, severe memory problems, rehabilitation and low expectations, then support and gradual work progression into retail operations. This is a personal account, not a medical prognosis or general treatment lesson.

ELI5: Rebuilding life shaped his persistence.

S20-P0074 (L54) S20-P0075 (L54) S20-P0076 (L54) S20-P0077 (L54)

Development / Psychology and decisions

Unlimited-ceiling appeal is motivation, not evidence

S20 | Analyst | C: Analyst inference

Attribution: highexplicit process description

Trading appealed because it offered autonomy and an apparently unconstrained future after career limitations. His resilience narrative explains effort but does not establish unlimited financial capacity or guarantee that persistence succeeds.

ELI5: The dream explains the drive, not the odds.

S20-P0078 (L54) S20-P0079 (L54) S20-P0080 (L54) S20-P0082 (L54) S20-P0083 (L54)

Strategy and regime

Complacency follows early success

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

He enjoys work but acknowledges reduced chart study and less hunger after success. This qualifies the earlier statement that he need not study because he knows his edge.

ELI5: Knowing a method can become an excuse to stop reviewing it.

S20-P0050 (L54) S20-P0086 (L54) S20-P0087 (L54)

Psychology and decisions / Learning and review

Early heavy-spike window

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

His favored premarket-heavy-spike setup runs 4:00 to 6:59, particularly the first half hour. He may return to sleep if no opportunities appear. Promotional-group causation is explicitly speculation; timezone is not separately stated.

ELI5: He watches a narrow early window for outsized pops.

S20-P0089 (L54) S20-P0090 (L54) S20-P0091 (L54)

Numbers

  • Value
    4:00 a.m. to 6:59 a.m.
    Context
    Guest early-session window
    Ref
    S20-P0090 (L54)
    Source excerpt
    4:00 a.m. to 6:59 a.m.

Strategy and regime / Entries and execution

Unknown history raises level uncertainty

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

A demonstrated early spike lacked prior chart levels, increasing risk. He uses small pieces while price discovers a potential ceiling, not full size at the first pop.

ELI5: No old landmarks means more uncertainty.

S20-P0092 (L54) S20-P0093 (L54) S20-P0094 (L54)

Strategy and regime / Sizing and exposure

Four or five planned pieces are position fractions

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

He describes roughly four or five entries at 20 to 25 percent of his intended position. These are not account-risk percentages; intended total size and add spacing are not disclosed.

ELI5: A quarter of the trade is not a quarter of the account.

S20-P0094 (L54) S20-P0095 (L54)

Numbers

  • Value
    20 to 25%
    Context
    Fraction of intended position per entry
    Ref
    S20-P0094 (L54)
    Source excerpt
    20 to 25% of my position

Entries and execution / Sizing and exposure

Mental stop has an unresolved trigger

S20 | Justin, TBOWS / The Bear of Wall Street | E: Unclear or conflicting

Attribution: highexplicit process description

He dislikes actual stops for wick-outs and admits mental stops are riskier. In the ten-dollar example he says exit if it breaks ten, while also describing a brief excursion that would stop out and reverse. Close-through versus touch versus discretion is not resolved.

ELI5: The line is named, but the exact exit event is unclear.

S20-P0095 (L54) S20-P0096 (L54) S20-P0097 (L54)

Numbers

  • Value
    10
    Context
    Example psychological stop level
    Ref
    S20-P0096 (L54)
    Source excerpt
    I told myself 10
  • Value
    850
    Context
    Captioned approximate average, interpreted 8.50
    Ref
    S20-P0096 (L54)
    Source excerpt
    around 850

Exits and adjustments / Losses and survival

Later premarket repeats scaling danger

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

The seven-o-clock example is similar: a large run creates opportunity but early heavy size can blow up. It is not a fully distinct quantified signal from the earlier spike method.

ELI5: Same idea, later session, same early-size hazard.

S20-P0097 (L54) S20-P0098 (L54)

Entries and execution / Sizing and exposure

Opening high retest allows more concentrated size

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

Between 9:30 and 10 he prefers a clearly established premarket high and enters just below it to avoid missing the fill. He permits heavier size because the proposed invalidation is nearby; fill-through and gap risk are not quantified.

ELI5: A nearby known boundary lets him define the bet more tightly.

S20-P0098 (L54) S20-P0099 (L54) S20-P0100 (L54)

Numbers

  • Value
    9:30 to 10:00
    Context
    Opening variant window
    Ref
    S20-P0098 (L54)
    Source excerpt
    9:30 to 10:00
  • Value
    975
    Context
    Illustrative entry interpreted 9.75 below ten
    Ref
    S20-P0100 (L54)
    Source excerpt
    maybe 975

Entries and execution / Testing and automation

Daytime scalps are smaller

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

From ten to four he shorts pops around levels with much smaller size because the action is less predictable. Exact trigger, stop and time exit are not supplied.

ELI5: He reduces size when the setup is less clear.

S20-P0100 (L54) S20-P0101 (L54)

Sizing and exposure

Fundamentals matter when immediate fade fails

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

For after-hours or possible overnight holds he checks cash, offering history and history of retaining gains. These become hold-versus-sell inputs rather than universal pre-entry gates.

ELI5: A trade that lasts longer gets a business check.

S20-P0102 (L54) S20-P0106 (L54) S20-P0107 (L54)

Strategy and regime

After-hours liquidity claim is tentative

S20 | Justin, TBOWS / The Bear of Wall Street | E: Unclear or conflicting

Attribution: highexplicit process description

He thinks after-hours is more liquid than early premarket and falls less hard, but explicitly says he may be wrong. It should not become an established cross-session liquidity law.

ELI5: His session impression needs measurement.

S20-P0102 (L54)

Entries and execution / Evidence and limitations

Friday-to-Monday fade is separate swing thesis

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

He sometimes shorts Friday afternoon pops expecting attention to disappear by Monday. His nine-in-ten phrasing is an unmeasured claim; weekend borrow fees can eliminate the expected reward.

ELI5: A weekend can drain interest but adds holding cost and gap risk.

S20-P0103 (L54) S20-P0104 (L54)

Numbers

  • Value
    nine out of ten
    Context
    Unverified forgetting/fade frequency assertion
    Ref
    S20-P0103 (L54)
    Source excerpt
    nine out of ten times
  • Value
    90 bucks
    Context
    Approximate total borrow cost in example
    Ref
    S20-P0104 (L54)
    Source excerpt
    90 bucks on a 10K position

Entries and execution

Weekend example does not define total trade return

S20 | Justin, TBOWS / The Bear of Wall Street | B: Reported experience

Attribution: highexplicit process description

He recalls a 10K position, about thirty dollars nightly and ninety total borrowing, with price captioned 169 to118, context suggesting 1.69 to1.18. Shares, exact entries and complete fills are absent, so no precise net return should be inferred.

ELI5: A price move and a fee estimate are not a trade ledger.

S20-P0104 (L54)

Numbers

  • Value
    30 bucks
    Context
    Approximate nightly borrow fee
    Ref
    S20-P0104 (L54)
    Source excerpt
    30 bucks overnight
  • Value
    169 to 118
    Context
    Captioned price move, decimal interpretation contextual
    Ref
    S20-P0104 (L54)
    Source excerpt
    169 to 118

Concrete examples

Market-cap ceiling statement conflicts internally

S20 | Justin, TBOWS / The Bear of Wall Street | E: Unclear or conflicting

Attribution: highexplicit process description

He prefers under 20 million, can do 50 million, then says rarely shorts under 100 million because they are real companies retaining gains. Likely directional caption error cannot safely become an above-100M rule without verification. He explicitly does not use float much, contrary to description emphasis.

ELI5: One screening sentence cannot be coded as written.

S20-P0013 (L17) S20-P0106 (L54) S20-P0107 (L54)

Numbers

  • Value
    under 20 million
    Context
    Stated preferred market cap
    Ref
    S20-P0107 (L54)
    Source excerpt
    prefer under 20 million
  • Value
    50 million
    Context
    Stated possible cap size
    Ref
    S20-P0107 (L54)
    Source excerpt
    50 million I I can do
  • Value
    under 100 million
    Context
    Conflicting exclusion phrase retained literally
    Ref
    S20-P0107 (L54)
    Source excerpt
    rarely short things under 100 million

Strategy and regime / Psychology and decisions

Biotech catalyst skepticism is a thesis

S20 | Analyst | C: Analyst inference

Attribution: highexplicit process description

He treats some early-phase headlines as insufficient to change a cash-burning company into a revenue producer. Analyst qualification: absence of current revenue does not establish that information has no effect on value or squeeze risk.

ELI5: Weak finances do not make every positive headline meaningless.

S20-P0107 (L54) S20-P0108 (L54)

Strategy and regime

Teaching context and warning coexist

S20 | Justin, TBOWS / The Bear of Wall Street | A: Explicit statement

Attribution: highexplicit process description

He promotes a newly free Circle group, allows possible future charging and emphasizes respecting levels because recovering large losses with small wins is difficult. The host claim that early hours protect edge from crowding is unsupported.

ELI5: Free instruction still needs evidence and risk scrutiny.

S20-P0108 (L54) S20-P0109 (L54) S20-P0110 (L54) S20-P0111 (L54) S20-P0112 (L54)

Strategy and regime / Losses and survival

Poker-to-trading move sought scalability

S21 | Andrey (N0pr3s3n7) | B: Reported experience

Attribution: highreported background and personal thesis

Andrey made a living from poker and sought trading because climbing poker stakes eventually felt hard to compound. His belief that trading removes that limit is motivation, not a demonstrated absence of liquidity or capacity constraints.

ELI5: He wanted a bigger arena, but bigger is not unlimited.

S21-P0039 (L46) S21-P0040 (L46) S21-P0041 (L46)

Development / Sizing and exposure

Risk tolerance deliberately fell with family obligations

S21 | Andrey (N0pr3s3n7) | A: Explicit statement

Attribution: highexplicit process description

He chose mid-stakes poker rather than pushing every boundary, reports never reaching zero, and reduced risk as children became dependent on him. He wants steady building rather than rapid wealth at any cost.

ELI5: People relying on you change the acceptable downside.

S21-P0041 (L46) S21-P0042 (L46) S21-P0043 (L46) S21-P0044 (L46)

Losses and survival

Poker remains a separate income activity

S21 | Andrey (N0pr3s3n7) | A: Explicit statement

Attribution: highexplicit process description

He continues poker and designs trading around it and Bulgarian time. He avoids premarket trading to play poker and avoids after-hours monitoring because of late local hours. A trading method must fit actual availability.

ELI5: The strategy fits his day, not the other way around.

S21-P0044 (L46) S21-P0045 (L46)

Learning and review

He sees trading beginners as facing stronger competition immediately

S21 | Andrey (N0pr3s3n7) | A: Explicit statement

Attribution: highexplicit opinion

Poker stakes let a beginner start against weaker players, whereas he sees trading as competing with skilled and institutional participants from day one. This is his analogy explaining difficulty, not a quantitative claim about all counterparties.

ELI5: There is no beginner-only stock exchange.

S21-P0046 (L46) S21-P0047 (L46)

Learning and review

Discipline means a repeatable work routine through frustration

S21 | Andrey (N0pr3s3n7) | A: Explicit statement

Attribution: highexplicit process description

He emphasizes returning to the task even when boring or stressful, having scheduled market work and continual improvement. Persistence is bounded elsewhere by preserving capital and requiring an edge.

ELI5: Show up to improve, not to force a bet.

S21-P0048 (L46) S21-P0049 (L46) S21-P0092 (L46)

Psychology and decisions / Learning and review

The visible equity chart omits earlier drawdowns

S21 | Andrey (N0pr3s3n7) | B: Reported experience

Attribution: highguest correction

The host asks whether he never went red; Andrey corrects that he did have drawdowns, including a severe earlier period in a room before the displayed 2023-era graph. No-drawdown interpretations are therefore explicitly wrong.

ELI5: A chart starting later can hide the hard beginning.

S21-P0050 (L46) S21-P0051 (L46) S21-P0052 (L46)

Numbers

  • Value
    50-70%
    Context
    approximate earlier drawdown, not precise max
    Ref
    S21-P0052 (L46)
    Source excerpt
    50 60 70% draw down

Losses and survival / Evidence and limitations

Discretionary expertise did not transfer through paid rooms

S21 | Andrey (N0pr3s3n7) | A: Explicit statement

Attribution: highexplicit process description

He says experienced discretionary traders could not simply give him their accumulated judgment. Even a room attempting systematic trading did not work for him, prompting independent research. This critiques fit, not those traders profitability.

ELI5: Buying access cannot buy someone elses experience.

S21-P0050 (L46) S21-P0051 (L46) S21-P0052 (L46)

Development / Learning and review

He took ownership of the whole research pipeline

S21 | Andrey (N0pr3s3n7) | A: Explicit statement

Attribution: highexplicit process description

Leaving the room, he collected, analyzed and used data himself rather than relying on a friend to fetch it. Python and Polygon let him understand small implementation details that determine whether a rule can be traded.

ELI5: Owning the data work exposes hidden mistakes.

S21-P0052 (L46) S21-P0054 (L46) S21-P0055 (L46) S21-P0058 (L46)

Testing and automation

Edge needs an articulated reason, as at a poker table

S21 | Andrey (N0pr3s3n7) | A: Explicit statement

Attribution: highexplicit process description

He asks why he is better than the opponents before participating. In trading, a few lucky trades are not enough; he wants a process with identified favorable odds. This is a standard of evidence rather than a disclosed numerical expectancy.

ELI5: Know why the bet should favor you.

S21-P0053 (L46) S21-P0054 (L46)

Strategy and regime

Halt handling is a concrete data-validity concern

S21 | Andrey (N0pr3s3n7) | A: Explicit statement

Attribution: highexplicit process description

During a halt bars do not print, so a naive signal immediately before the halt may not be executable before a much higher reopening. He explicitly uses this to explain why data mechanics matter to the strategy. Exact treatment is not disclosed.

ELI5: A price in the file is not always a price you could trade.

S21-P0055 (L46) S21-P0056 (L46)

Testing and automation

Limited live screen time rests on extensive prior work

S21 | Andrey (N0pr3s3n7) | A: Explicit statement

Attribution: highexplicit process description

He reports at most about three hours trading daily, with research and preparation done outside live monitoring. Several months of data collection and trade logging preceded the approach. This is not a claim the entire business takes only those hours.

ELI5: Short market hours can require long preparation.

S21-P0057 (L46) S21-P0058 (L46)

Numbers

  • Value
    three hours maximum
    Context
    live trading time
    Ref
    S21-P0057 (L46)
    Source excerpt
    3 hours maximum per day
  • Value
    three-four months
    Context
    intensive research phase
    Ref
    S21-P0058 (L46)
    Source excerpt
    three to four months

Development / Learning and review

His universe is parabolic small caps rather than every runner

S21 | Andrey (N0pr3s3n7) | E: Unclear or conflicting

Attribution: highexplicit process description

He mainly targets stocks making pronounced parabolic moves and says ordinary modest moves and multi-day runners are not his focus. Later data-pull examples mention 40-60% moves, so those examples must not become a fixed live entry threshold.

ELI5: The research universe and the trade trigger are different.

S21-P0059 (L46) S21-P0062 (L46) S21-P0075 (L46) S21-P0076 (L46)

Numbers

  • Value
    30-40%
    Context
    moves he says are not his focus
    Ref
    S21-P0059 (L46)
    Source excerpt
    30% up or 40% up
  • Value
    40%
    Context
    illustrative data-pull reference, not exact entry filter
    Ref
    S21-P0076 (L46)
    Source excerpt
    about 40% for example

Strategy and regime

Live actions must match the spreadsheet test

S21 | Andrey (N0pr3s3n7) | A: Explicit statement

Attribution: highexplicit process description

Entries and exits should occur where tested in Excel. He refuses advice such as cutting before late-day squeezes if that rule was not part of his process and cannot fit his schedule. This is consistency, not proof such advice is inherently wrong.

ELI5: Changing the recipe changes the result you tested.

S21-P0059 (L46) S21-P0060 (L46) S21-P0061 (L46) S21-P0062 (L46)

Entries and execution / Testing and automation

Trap interpretation supports avoiding reactive decisions

S21 | Andrey (N0pr3s3n7) | A: Explicit statement

Attribution: highexplicit process description

He views violent small-cap reversals as traps that induce emotional mistakes on both sides. He does not use daily levels or indicators and does not want to react to each apparent breakdown, wick or reversal. The charts are not present in the supplied text.

ELI5: Do not let every twitch rewrite the plan.

S21-P0063 (L46) S21-P0065 (L46) S21-P0066 (L46) S21-P0067 (L46) S21-P0068 (L46) S21-P0069 (L46)

Psychology and decisions

Front-side labels can be hindsight judgments

S21 | Andrey (N0pr3s3n7) | A: Explicit statement

Attribution: highexplicit process description

He argues a chart reviewed after the close makes the front side obvious, while its endpoint is unknown live. His entries may appear early but are tested system trades. The actual early-entry trigger is withheld, so this does not authorize arbitrary front-side shorting.

ELI5: Afterward is easier than in the moment.

S21-P0069 (L46) S21-P0070 (L46) S21-P0071 (L46)

Entries and execution

September drawdown illustrates adverse runner conditions

S21 | Andrey (N0pr3s3n7) | B: Reported experience

Attribution: highreported experience

He describes stocks closing far above prior close and a worst month for his approach ending around a 10% drawdown, dropping below the six-figure milestone. This is a reported realized loss, not a maximum-risk guarantee.

ELI5: A survivable bad month can still be a bad month.

S21-P0038 (L46) S21-P0039 (L46) S21-P0071 (L46) S21-P0072 (L46)

Numbers

  • Value
    10%
    Context
    reported September drawdown
    Ref
    S21-P0072 (L46)
    Source excerpt
    only 10% draw out
  • Value
    200-300%
    Context
    illustrative closing gains versus previous close, caption imprecise
    Ref
    S21-P0072 (L46)
    Source excerpt
    300% above uh the previous day

Strategy and regime / Losses and survival

News is mostly excluded, with a corporate-action exception

S21 | Andrey (N0pr3s3n7) | A: Explicit statement

Attribution: highexplicit process description

He generally ignores news because he did not test subjective news interpretation, but considers merger/acquisition situations for gappers. The exception matters: the method is not literally blind to all corporate events.

ELI5: Do not add an untested story, but recognize a different transaction type.

S21-P0073 (L46) S21-P0074 (L46) S21-P0075 (L46) S21-P0076 (L46)

Strategy and regime

Very wide stops aim to remain in the move until close

S21 | Andrey (N0pr3s3n7) | A: Explicit statement

Attribution: highexplicit process description

He found narrower stops repeatedly exited before the eventual fade and preferred wide room to stay until the close. Numbers are chart examples, not one universal stop formula. Wide adverse-price tolerance must not be confused with low account risk.

ELI5: A wider door avoids some shakeouts but permits bigger losses.

S21-P0077 (L46) S21-P0078 (L46) S21-P0079 (L46)

Numbers

  • Value
    20-40%
    Context
    stops he calls small for this approach
    Ref
    S21-P0077 (L46)
    Source excerpt
    20 to 40%
  • Value
    at least 50%
    Context
    chart-specific example
    Ref
    S21-P0078 (L46)
    Source excerpt
    50% at least
  • Value
    120
    Context
    chart-specific caption example, percent implied by discussion
    Ref
    S21-P0079 (L46)
    Source excerpt
    how much 120

Exits and adjustments / Losses and survival

He remains short-only rather than flipping bias

S21 | Andrey (N0pr3s3n7) | A: Explicit statement

Attribution: highexplicit process description

Despite traps and continued rallies, he does not switch to long trades because the system only supports the short side. The discipline applies to tested rules, while max stops still exist.

ELI5: He changes exposure by rules, not by chasing the other direction.

S21-P0079 (L46) S21-P0085 (L46) S21-P0086 (L46)

Psychology and decisions

Initial full-size entry worked differently across years

S21 | Andrey (N0pr3s3n7) | E: Unclear or conflicting

Attribution: highexplicit process description

He says entering all size at the first qualifying spot worked well in 2023, then notes market change in the interview year. Later examples use multiple entries, but a complete revised scale-in algorithm is not stated.

ELI5: Entry allocation can depend on regime, but the new rule is missing.

S21-P0080 (L46) S21-P0084 (L46) S21-P0091 (L46)

Strategy and regime

Wide-stop discipline is accepted before entry

S21 | Andrey (N0pr3s3n7) | A: Explicit statement

Attribution: highexplicit process description

He compares trades to taking known poker odds and accepting the outcome. The host separately stresses appropriate size and actually honoring the stop. Neither provides account percentage or aggregate exposure.

ELI5: Accept the possible loss before placing the trade.

S21-P0082 (L46) S21-P0083 (L46) S21-P0085 (L46) S21-P0086 (L46)

Losses and survival / Psychology and decisions

A winning scale-in example is not indefinite averaging

S21 | Andrey (N0pr3s3n7) | B: Reported experience

Attribution: highreported chart example with missing chart

In the caption-rendered PRTG example he enters in several sizes, survives the movement and covers after the fade. He later explicitly denies unlimited adding at any price. Exact trade times, prices and limits are not available in text.

ELI5: Several planned entries are not endless rescue buying or selling.

S21-P0084 (L46) S21-P0091 (L46)

Concrete examples

Premature triggers can invalidate an otherwise similar trade

S21 | Andrey (N0pr3s3n7) | E: Unclear or conflicting

Attribution: highexplicit process description

He admits sometimes entering seconds before a trigger expecting it to qualify, then finding it slightly negative or invalid and potentially cutting it. That is an execution deviation from his stated zero-discretion ideal.

ELI5: Almost the right signal is still a different signal.

S21-P0084 (L46) S21-P0085 (L46) S21-P0090 (L46)

Numbers

  • Value
    five seconds
    Context
    illustrative early entry deviation
    Ref
    S21-P0085 (L46)
    Source excerpt
    five seconds earlier

Entries and execution

A maximum stop can be a correctly executed losing trade

S21 | Andrey (N0pr3s3n7) | B: Reported experience

Attribution: highreported losing chart example

He shows a stop near the top and calls it acceptable execution because the trade was valid and the outcome accepted. Correct process does not mean profitable individual trade. The ticker is unclear.

ELI5: A good decision can still lose.

S21-P0085 (L46) S21-P0086 (L46)

Losses and survival / Concrete examples

Post-trade reconciliation checks fidelity to the database

S21 | Andrey (N0pr3s3n7) | A: Explicit statement

Attribution: highexplicit process description

He later pulls trades and data to verify whether entries matched tested conditions, identifying missed, late or invalid executions when handling many trades. This audit is distinct from judging only profit and loss.

ELI5: Check whether you traded the rule, not just whether you won.

S21-P0086 (L46) S21-P0087 (L46)

Entries and execution / Learning and review / Testing and automation

A profitable open position can finish as a planned loss

S21 | Andrey (N0pr3s3n7) | B: Reported experience

Attribution: highreported losing example

He describes a valid trade that was temporarily profitable but lost because the stock closed near highs. Holding to the tested endpoint can surrender interim gains; that is part of the disclosed process, not omitted from the success story.

ELI5: A plan to hold to close can give back paper gains.

S21-P0088 (L46) S21-P0089 (L46)

Exits and adjustments / Losses and survival / Concrete examples

Claimed zero discretion is qualified by execution mistakes

S21 | Andrey (N0pr3s3n7) | E: Unclear or conflicting

Attribution: highexplicit process description

He says virtually no discretionary trades for roughly two years, meaning validity is binary, but elsewhere admits anticipation and timing errors. This is a stated methodological objective rather than proof of perfect compliance or automation.

ELI5: Rule-based trading can still be manually imperfect.

S21-P0084 (L46) S21-P0085 (L46) S21-P0087 (L46) S21-P0090 (L46)

Testing and automation

Preserve capital until the edge is understood

S21 | Andrey (N0pr3s3n7) | A: Explicit statement

Attribution: highexplicit process description

His closing recommendation rejects quick-rich bets and says struggling traders should stop risking capital without knowing their advantage. This qualifies the earlier never-give-up rhetoric: continuing research is not the same as continuing unproven bets.

ELI5: Keep learning without paying for every lesson with a large loss.

S21-P0089 (L46) S21-P0092 (L46) S21-P0093 (L46)

Losses and survival / Learning and review

Headline and spoken performance differ

S22 | Yanni | E: Unclear or conflicting

Attribution: highconflicting promotional and spoken values

Description says over $280K, while opening discussion says just under $223K and later nearly $250K. Firm history is not fully uploaded. These are time/scope-dependent reported figures, not reconciled strategy returns.

ELI5: The curve is not the whole career.

S22-P0013 (L15) S22-P0042 (L52) S22-P0043 (L52) S22-P0055 (L52) S22-P0058 (L52) S22-P0059 (L52)

Numbers

  • Value
    $280K
    Context
    description
    Ref
    S22-P0013 (L15)
    Source excerpt
    over $280K in profits
  • Value
    223K
    Context
    host opening
    Ref
    S22-P0042 (L52)
    Source excerpt
    223K, am I right?

Evidence and limitations

Development through a competitive desk

S22 | Yanni | B: Reported experience

Attribution: highunverified reported experience

Interest through his father preceded social-media discovery, repeated rejected applications, an internship and full-time SMB role. He credits proximity to skilled peers for speeding learning but does not say it was the only path.

ELI5: Learning beside traders shortened his route.

S22-P0044 (L52) S22-P0045 (L52) S22-P0046 (L52) S22-P0047 (L52)

Numbers

  • Value
    2018-2019
    Context
    start
    Ref
    S22-P0044 (L52)
    Source excerpt
    early 2019, late 2018
  • Value
    summer 2021
    Context
    internship
    Ref
    S22-P0045 (L52)
    Source excerpt
    summer of 2021 where I started as an intern
  • Value
    summer 2022
    Context
    full-time
    Ref
    S22-P0046 (L52)
    Source excerpt
    summer of 2022 at the firm
  • Value
    2024
    Context
    live desk tenure ending
    Ref
    S22-P0046 (L52)
    Source excerpt
    traded live until 2024

Development

Desk routine mixed trading and research

S22 | Yanni | B: Reported experience

Attribution: highunverified reported experience

He describes morning arrival, several office days weekly, occasional weekend research and networking. Senior traders sometimes appeared chiefly when markets were active. This is historical observation, not a required schedule.

ELI5: The desk supplied feedback and preparation.

S22-P0048 (L52) S22-P0049 (L52)

Numbers

  • Value
    8-8:30
    Context
    arrival
    Ref
    S22-P0048 (L52)
    Source excerpt
    probably 8 8:30
  • Value
    3-4 times/week
    Context
    office attendance
    Ref
    S22-P0048 (L52)
    Source excerpt
    three, four times a week

Learning and review

Size should reflect opportunity quality

S22 | Yanni | A: Explicit statement

Attribution: highexplicit process description

His central SMB lesson is small risk on ordinary days and much greater size on rare exceptional setups, still within limits rather than risking half an account. The interview does not disclose a scale multiplier or daily stop.

ELI5: Save larger bets for your clearest setups.

S22-P0050 (L52) S22-P0051 (L52) S22-P0052 (L52)

Exceptions

  • Host 80% versus 55-60% probabilities are illustrative, not Yanni statistics.

Sizing and exposure / Losses and survival

Small slow-market exposure improves psychology

S22 | Yanni | A: Explicit statement

Attribution: highexplicit process description

He feels better trading small while waiting for clear mean-reversion opportunities and emphasizes not losing much in slow markets. This links psychology to opportunity and risk selection, not merely positive thinking.

ELI5: Quiet days need smaller bets.

S22-P0052 (L52) S22-P0053 (L52) S22-P0054 (L52) S22-P0098 (L52)

Strategy and regime / Losses and survival / Psychology and decisions

Large caps preferred, but opportunity dictates universe

S22 | Yanni | A: Explicit statement

Attribution: highexplicit process description

He trades both large and small caps, favoring large caps while participating in small-cap hot periods. The edge later extends to both directions and broad-market extremes.

ELI5: Follow the setup across markets.

S22-P0054 (L52) S22-P0089 (L52) S22-P0090 (L52) S22-P0091 (L52)

Strategy and regime

Profit concentration is an observed model to emulate

S22 | Yanni | B: Reported experience

Attribution: highunverified reported experience

He says senior traders sometimes earned most profits in few days and tries to emulate this. Description attributes a tighter statistic directly to Yanni, but speech does not establish his exact distribution. He links his curve spikes to April/May tariff opportunities.

ELI5: A few days can matter disproportionately.

S22-P0028 (L34) S22-P0056 (L52) S22-P0057 (L52) S22-P0060 (L52)

Numbers

  • Value
    80-90%
    Context
    observed others, not verified own statistic
    Ref
    S22-P0056 (L52)
    Source excerpt
    80 to 90% of their profits
  • Value
    10-20 days/year
    Context
    observed others
    Ref
    S22-P0057 (L52)
    Source excerpt
    10 to 20 days out of the year

Evidence and limitations

Independent transition retained the philosophy

S22 | Yanni | B: Reported experience

Attribution: highunverified reported experience

Leaving around September 2024 changed whose capital he traded, not the small-normal/large-exceptional approach. A prior cushion increased confidence when larger opportunities later arrived; it was not a sudden new setup in October as the host suggested.

ELI5: Ownership changed before the opportunity arrived.

S22-P0059 (L52) S22-P0060 (L52) S22-P0061 (L52) S22-P0062 (L52)

Numbers

  • Value
    September 2024
    Context
    firm departure
    Ref
    S22-P0059 (L52)
    Source excerpt
    September of 2024

Development / Sizing and exposure / Psychology and decisions

Scaling conviction needs a specific checklist

S22 | Yanni | A: Explicit statement

Attribution: highexplicit process description

He can size up because years of playbook work distinguish good setups from lookalikes. The checklist is partly intuitive despite his language of systematizing; no full formal score is given.

ELI5: Know what makes the good version different.

S22-P0061 (L52) S22-P0062 (L52) S22-P0084 (L52) S22-P0086 (L52)

Strategy and regime / Learning and review

Firm support and firm economics are a tradeoff

S22 | Yanni | B: Reported experience

Attribution: highunverified reported experience

He valued SMB learning but found personal capital more real, flexible and comfortable; desk fees, split and difficult 2022 conditions constrained early progress. He explicitly allows that others may thrive in firms. Amounts are not stated.

ELI5: Education and economics can point in different directions.

S22-P0063 (L52) S22-P0064 (L52) S22-P0065 (L52) S22-P0066 (L52) S22-P0067 (L52)

Development / Psychology and decisions

Consistency rules can conflict with asymmetric sizing

S22 | Yanni | B: Reported experience

Attribution: highreported incident and opinion; no contract supplied

He contrasts flexible risk-manager discussions at SMB with his experience of evaluation rules, reporting a denied payout after profitable futures trading. He sees consistency/trailing drawdown rules as incompatible with uneven opportunity sizing. Predatory-intent allegations are his opinion; rules are historical and need current verification.

ELI5: Check whether account rules permit your strategy.

S22-P0068 (L52) S22-P0069 (L52) S22-P0070 (L52) S22-P0071 (L52) S22-P0072 (L52)

Losses and survival

Transparent teaching and execution sharing

S22 | Yanni | B: Reported experience

Attribution: highunverified reported experience

He recommends transparent traders such as Lance and SMB, and says skeptical replies to his execution writeups led him to Kinfo. The host promotes verified mentors. Verification is not itself proof a specific lesson works.

ELI5: Look for evidence behind the teacher.

S22-P0067 (L52) S22-P0068 (L52) S22-P0072 (L52) S22-P0073 (L52) S22-P0074 (L52) S22-P0075 (L52) S22-P0076 (L52)

Learning and review / Evidence and limitations

Exhaustion needs speed as well as distance

S22 | Yanni | A: Explicit statement

Attribution: highexplicit process description

His explicit daily filter is four ATRs in five days, with a hot retail theme or catalyst. He contrasts rapid extension with the same distance accumulated over weeks; historical indicator extremes and pullbacks inform interpretation. ATR lookback/formula are not supplied.

ELI5: A fast stretch differs from a slow climb.

S22-P0076 (L52) S22-P0077 (L52) S22-P0078 (L52) S22-P0079 (L52)

Numbers

  • Value
    4 ATR / 5 days
    Context
    core daily extension criterion
    Ref
    S22-P0077 (L52)
    Source excerpt
    four ATRs in the last five days

Strategy and regime

Theme and volume qualify the extension

S22 | Yanni | A: Explicit statement

Attribution: highexplicit process description

Crypto, semiconductors, quantum and other retail narratives attract chasing. He also wants a large prior percentage run, increasing or capitulatory daily volume and a gap that can form a backside. No numeric volume threshold is given.

ELI5: The crowd and its urgency matter.

S22-P0077 (L52) S22-P0079 (L52) S22-P0083 (L52)

Strategy and regime

Daily alignment precedes intraday execution

S22 | Yanni | A: Explicit statement

Attribution: highexplicit process description

He combines daily exhaustion with opening-range breaks, fast-move fades or lengthy sideways consolidations. For shorts he shows backside behavior below VWAP and mentions high-of-day risk on an example. He aims to hold a trend-day move, but exact bars, stop distance and exits are absent.

ELI5: First find an unusually stretched stock, then wait for it to turn.

S22-P0079 (L52) S22-P0080 (L52) S22-P0081 (L52) S22-P0082 (L52)

Entries and execution / Exits and adjustments / Testing and automation

IPO exception substitutes recent range for missing ATR history

S22 | Yanni | A: Explicit statement

Attribution: highexplicit process description

Circle day-three illustrates an IPO without sufficient daily ATR history. He uses recent average range, consecutive closes near highs and another gap, then the same backside/VWAP logic. This is a deliberate exception to a strict five-day screen.

ELI5: A new stock has too little history for the usual range measure.

S22-P0081 (L52) S22-P0082 (L52)

Numbers

  • Value
    day three
    Context
    Circle example
    Ref
    S22-P0081 (L52)
    Source excerpt
    day three IPO trade
  • Value
    2-3 days
    Context
    recent rise and closes
    Ref
    S22-P0082 (L52)
    Source excerpt
    two three days in a row closing at the highs

Concrete examples

Concrete theme examples are retrospective

S22 | Yanni | B: Reported experience

Attribution: highunverified reported experience

QBT as transcribed is a quantum example; Circle and GME crypto-treasury context illustrate the repeatable pattern. The transcript does not supply executable prices or complete fills, and ticker QBT should not be silently repaired.

ELI5: Examples show context, not complete tickets.

S22-P0081 (L52) S22-P0082 (L52) S22-P0083 (L52)

Numbers

  • Value
    528
    Context
    spoken GME date notation
    Ref
    S22-P0082 (L52)
    Source excerpt
    GME recently that was on 528

Concrete examples

Few qualified opportunities means rejecting lookalikes

S22 | Yanni | A: Explicit statement

Attribution: highexplicit process description

He agrees two to five opportunities in a normal month is reasonable, with less in slow periods. He argues weaker examples often miss checklist conditions. Finding, executing and sizing remains a learned skill beyond memorizing criteria.

ELI5: Passing on near-misses is part of the method.

S22-P0083 (L52) S22-P0084 (L52) S22-P0085 (L52) S22-P0086 (L52) S22-P0087 (L52)

Numbers

  • Value
    2-5
    Context
    typical opportunity count
    Ref
    S22-P0084 (L52)
    Source excerpt
    usually two to five is pretty normal

Strategy and regime / Evidence and limitations

Exhaustion also applies long and on later days

S22 | Yanni | A: Explicit statement

Attribution: highexplicit process description

He applies the same rapid extension and intraday alignment to market selloffs and UNH. A messy first-day backside may become cleaner on day two. The rubber-band explanation is his behavioral hypothesis, not a guarantee of reversal.

ELI5: Wait for the turn, even if it takes another day.

S22-P0088 (L52) S22-P0089 (L52) S22-P0090 (L52) S22-P0091 (L52)

Entries and execution

Tariff trade mixed setup and news luck

S22 | Yanni | B: Reported experience

Attribution: highunverified reported experience

The broad-market downside extension met his criteria and produced a major trade. A reported tariff-pause headline, later said to be false, amplified the move; he explicitly acknowledges luck. He says the setup was worthwhile even without that news.

ELI5: Keep the planned setup separate from the lucky catalyst.

S22-P0088 (L52) S22-P0091 (L52) S22-P0092 (L52)

Evidence and limitations / Concrete examples

Panic fading rests on reversibility and participation

S22 | Yanni | A: Explicit statement

Attribution: highexplicit process description

He interprets tariff threats as negotiable and compares 2018, viewing extremes as short-term panic to fade. He believes broad-market trades have tighter intraday behavior and better odds due to participant breadth. These are discretionary theses, not quantified probabilities; permanent adverse change remains unresolved.

ELI5: He bets that panic has outrun lasting damage.

S22-P0095 (L52) S22-P0096 (L52)

Strategy and regime / Psychology and decisions

Host wedding-money trade is a separate risk anecdote

S22 | Stephen Johnson | B: Reported experience

Attribution: highunverified reported experience

Stephen describes putting wedding money into leading technology stocks, selling most on the rebound and using gains for wedding costs. Yanni agrees with the tariff interpretation, not an explicit wedding-money allocation rule. The host also generalizes about wars and highs without evidence.

ELI5: A winning anecdote does not justify risking committed funds.

S22-P0093 (L52) S22-P0094 (L52) S22-P0095 (L52) S22-P0096 (L52)

Numbers

  • Value
    35%
    Context
    initial wedding-cost claim
    Ref
    S22-P0093 (L52)
    Source excerpt
    about 35% of me wedding

Entries and execution / Losses and survival

Pods improve playbooks and confidence

S22 | Yanni | A: Explicit statement

Attribution: highexplicit process description

He values group chats, shared executions, preparation and live voice discussion. He says edge and a specific playbook improve psychology; the host independently observes connected trader networks. A group is a learning mechanism, not independent confirmation of an edge.

ELI5: Work through the decisions with serious peers.

S22-P0097 (L52) S22-P0098 (L52) S22-P0099 (L52) S22-P0100 (L52)

Psychology and decisions / Learning and review

Performance introduction is not a controlled comparison

S23 | Description / Stephen Johnson | B: Reported experience

Attribution: highpromotional and host claims

Description promotes $780K and a 5-10% annual market-outperformance aim; host rounds profits to $800K and calls him consistently superior through highs and lows. No audited benchmark-return series is supplied. The aim appears in description, not a disclosed return rule.

ELI5: A praised curve is not a controlled test.

S23-P0012 (L14) S23-P0014 (L18) S23-P0032 (L44) S23-P0033 (L44) S23-P0054 (L44) S23-P0055 (L44)

Numbers

  • Value
    $780K
    Context
    description profits
    Ref
    S23-P0012 (L14)
    Source excerpt
    $780K in profits
  • Value
    $800,000
    Context
    host rounded amount
    Ref
    S23-P0033 (L44)
    Source excerpt
    making $800,000

Evidence and limitations

Strategy games inspired loss-avoidance interest

S23 | Frank | B: Reported experience

Attribution: highunverified reported experience

After completing a biotechnology PhD in the United States, Frank began trading. A War Inc stock simulation showed fast compounding when saved games erased losses. This is an origin story, not a real-market technique; the host gamer-success generalization is separate.

ELI5: Real markets have no reload button.

S23-P0033 (L44) S23-P0034 (L44) S23-P0035 (L44) S23-P0036 (L44) S23-P0042 (L44)

Numbers

  • Value
    1997
    Context
    trading start
    Ref
    S23-P0033 (L44)
    Source excerpt
    back in 1997
  • Value
    57
    Context
    age at interview
    Ref
    S23-P0036 (L44)
    Source excerpt
    57.

Development / Learning and review

Correct eventual direction did not prevent a short blowup

S23 | Frank | B: Reported experience

Attribution: highunverified reported experience

He avoided joining a stock-promotion group and tried shorting promotions he detected too late to buy. Variable pump duration defeated his expectation of an imminent peak; a concentrated short kept rising until broker liquidation. The eventual collapse thesis did not preserve capital.

ELI5: Eventually right can still mean bankrupt first.

S23-P0037 (L44) S23-P0038 (L44) S23-P0039 (L44) S23-P0040 (L44) S23-P0041 (L44)

Numbers

  • Value
    15 minutes to 3 hours
    Context
    variable promotion duration
    Ref
    S23-P0038 (L44)
    Source excerpt
    15 minute could be two hours could be three hours
  • Value
    20 minutes
    Context
    discovery lag
    Ref
    S23-P0038 (L44)
    Source excerpt
    at least 20 minutes
  • Value
    70-75%
    Context
    money committed to failed short
    Ref
    S23-P0039 (L44)
    Source excerpt
    70 75% of my money

Entries and execution / Losses and survival

Borrowed trading capital magnified household damage

S23 | Frank | B: Reported experience

Attribution: highunverified reported experience

Early savings gains encouraged credit-card borrowing at high interest. The resulting account was lost in the short blowup, roughly matching annual employment income while supporting a young child. Host inflation equivalence is not a verified calculation.

ELI5: The loss left debt after the account was gone.

S23-P0046 (L44) S23-P0047 (L44)

Numbers

  • Value
    $3,000
    Context
    all initial savings
    Ref
    S23-P0046 (L44)
    Source excerpt
    started with $3,000 all of my savings
  • Value
    $5,000
    Context
    initial growth
    Ref
    S23-P0046 (L44)
    Source excerpt
    grew it to like 5,000ish
  • Value
    20%
    Context
    borrowing rate
    Ref
    S23-P0046 (L44)
    Source excerpt
    20% interest
  • Value
    $20,000
    Context
    credit-card borrowing
    Ref
    S23-P0046 (L44)
    Source excerpt
    borrowed $20,000
  • Value
    $30,000
    Context
    lost account
    Ref
    S23-P0047 (L44)
    Source excerpt
    entire 30k
  • Value
    $30,000/year
    Context
    postdoc income
    Ref
    S23-P0047 (L44)
    Source excerpt
    annual salary was 30k

Losses and survival / Psychology and decisions

Recovery depended on family labor and time

S23 | Frank | B: Reported experience

Attribution: highunverified reported experience

His wife responded supportively, moved to Atlanta for work while he cared for their child in Syracuse, and they repaid debt before he rebuilt capital. The recovery was funded by household effort, not a miraculous trading comeback.

ELI5: Someone had to earn back the lost money.

S23-P0048 (L44) S23-P0049 (L44)

Numbers

  • Value
    1999
    Context
    debt repaid
    Ref
    S23-P0049 (L44)
    Source excerpt
    until 1999 we were able to pay off
  • Value
    $10,000
    Context
    rebuilt capital
    Ref
    S23-P0049 (L44)
    Source excerpt
    about 10k again

Sizing and exposure

A broker mistake saved a second bad decision

S23 | Frank | B: Reported experience

Attribution: highunverified reported experience

He says a concentrated trade should have lost heavily, but the broker reported executing the opposite order and the account gained. He calls this luck and a lesson, not execution skill. Direction, ticker and broker details are uncertain in captions; no operational history is verified.

ELI5: A good result can hide a bad decision.

S23-P0049 (L44) S23-P0050 (L44) S23-P0051 (L44) S23-P0052 (L44)

Entries and execution / Evidence and limitations

Abandoning prediction changed the research question

S23 | Frank | A: Explicit statement

Attribution: highexplicit process description

After the near-blowup he concluded he could not forecast individual stock direction, and forced himself to seek another approach. His 50/50 characterization is a belief, not a calibrated estimate for every market.

ELI5: If guessing direction fails, change the question.

S23-P0052 (L44) S23-P0053 (L44)

Numbers

  • Value
    2+ years
    Context
    risk-learning period
    Ref
    S23-P0052 (L44)
    Source excerpt
    two year plus
  • Value
    50/50
    Context
    directional belief
    Ref
    S23-P0053 (L44)
    Source excerpt
    chance is just 50/50

Development / Strategy and regime / Psychology and decisions

Patterns must be mathematically defined and tested

S23 | Frank | A: Explicit statement

Attribution: highexplicit process description

His scientific background leads him to demand a precise pattern definition and statistical outcome distribution, including dispersion, before trusting chart labels. He rejects most technical analysis but explicitly says charts still matter in his own way. The headline rejecting charts oversimplifies him.

ELI5: Name the pattern precisely, then count outcomes.

S23-P0042 (L44) S23-P0043 (L44) S23-P0044 (L44)

Numbers

  • Value
    95%
    Context
    stated distrust, not measured prevalence
    Ref
    S23-P0043 (L44)
    Source excerpt
    at least 95% of the technical analysis

Evidence and limitations

Account inactivity does not establish a strategy pause

S23 | Frank | B: Reported experience

Attribution: highunverified reported experience

Caring for his mother limited trading and affected his mental state. Later tests took place in another account while the displayed account was inactive. Flat sections therefore do not necessarily represent a market-timing risk rule.

ELI5: A flat chart can have a life or account explanation.

S23-P0055 (L44) S23-P0056 (L44) S23-P0057 (L44) S23-P0058 (L44)

Numbers

  • Value
    8 / 16 hours
    Context
    care helper and personal care duties
    Ref
    S23-P0055 (L44)
    Source excerpt
    day helper only could help for 8 hours and for the rest of the 16 hours

Sizing and exposure / Evidence and limitations

Profitable option debut was rejected as market luck

S23 | Frank | B: Reported experience

Attribution: highunverified reported experience

After decades in equities, his first options approach demanded constant alertness and made money. Reviewing trades convinced him market cooperation, not robust system quality, drove the result, so he abandoned it and developed alternatives. The host supplies a rounded $300K-$400K characterization; Frank does not validate that exact attribution.

ELI5: Profit alone did not convince him the process worked.

S23-P0056 (L44) S23-P0057 (L44) S23-P0060 (L44) S23-P0061 (L44) S23-P0062 (L44)

Development / Learning and review

Several winning months do not establish durability

S23 | Frank | B: Reported experience

Attribution: highunverified reported experience

He recalls strategies working for months then giving back all gains. Statistical review plus experience informed a firm decision to change; exact tests, sample sizes and rejection criteria are not disclosed.

ELI5: A hot streak is not permanent evidence.

S23-P0061 (L44) S23-P0062 (L44)

Strategy and regime / Learning and review / Testing and automation

Current system seeks market tracking plus occasional excess

S23 | Frank | A: Explicit statement

Attribution: highexplicit process description

He dates full deployment to the prior May 13 at the Schwab migration, after separate-account research. Most periods aim to track the market, with rare outperforming opportunities compounding. He tracks open-position value as well as closed trades because the displayed trade chart differs from portfolio value.

ELI5: Measure the entire account against a benchmark.

S23-P0058 (L44) S23-P0059 (L44) S23-P0064 (L44)

Numbers

  • Value
    May 13 last year
    Context
    deployment date relative to interview
    Ref
    S23-P0058 (L44)
    Source excerpt
    May 13th last year
  • Value
    half a dozen/year
    Context
    claimed outperformance opportunities
    Ref
    S23-P0059 (L44)
    Source excerpt
    half a dozen times at most a year

Development

Underlying-specific valuation is the proposed advantage

S23 | Frank | A: Explicit statement

Attribution: highexplicit process description

He believes generic option modeling misses differences among underlyings, develops different models and buys options priced below his modeled value. Predominantly calls is the present implementation; equations and model inputs remain undisclosed.

ELI5: He wants to pay less than his model says an option is worth.

S23-P0063 (L44) S23-P0064 (L44)

Strategy and regime

Outperformance claim includes a downside exception

S23 | Frank | B: Reported experience

Attribution: highunverified reported experience

His own position-value chart is said to lose less on large market drawdowns and gain more on some large rallies, while broadly tracking otherwise. He explicitly concedes some smaller downturns hurt more. No numerical alpha, drawdown or costs are supplied.

ELI5: Better on some large moves does not mean better every day.

S23-P0064 (L44) S23-P0065 (L44) S23-P0066 (L44)

Losses and survival

Greek exposures adjust by criteria, not perfect timing

S23 | Frank | A: Explicit statement

Attribution: highexplicit process description

He continuously adjusts delta, gamma and theta using undisclosed criteria, admitting he cannot know optimal timing. Occasional favorable alignment allegedly drives excess return. Moneyness ranges from out-of-money through deep in-money according to time-sensitive market behavior.

ELI5: Manage exposure without claiming to know the perfect moment.

S23-P0066 (L44) S23-P0067 (L44) S23-P0068 (L44) S23-P0069 (L44)

Entries and execution / Exits and adjustments

Puts are an exception to predominant calls

S23 | Frank | A: Explicit statement

Attribution: highexplicit process description

He corrects the host: the system is not exclusively calls. Puts have sometimes made money, but his model has found calls more profitable. Market-following index exposure and the asymmetry of fast declines versus gradual rises inform his models. This is model-specific, not a universal call advantage.

ELI5: Mostly calls does not mean calls only.

S23-P0067 (L44) S23-P0068 (L44) S23-P0069 (L44)

Strategy and regime

Model omission prevents reconstruction

S23 | Frank | A: Explicit statement

Attribution: highexplicit process description

He describes calculus, physics-style reasoning, data collection and mathematics, but says explaining details would take days. The host notes viewers cannot easily duplicate it. Educational reasoning is available; model rules, exits, sizing and portfolio constraints are not.

ELI5: The thinking is shared; the engine is not.

S23-P0070 (L44) S23-P0071 (L44) S23-P0072 (L44)

Learning and review / Evidence and limitations

Emotional neutrality is a personal discipline

S23 | Frank | B: Reported experience

Attribution: highunverified reported experience

He views normal emotional market reactions as harmful, based on his own analysis not shown here. A large daily loss was discussed calmly at dinner and treated as information. This demonstrates his reported response, not that the loss was safely sized or emotions are universally useless.

ELI5: Treat outcomes as information before reacting.

S23-P0072 (L44) S23-P0073 (L44) S23-P0074 (L44) S23-P0075 (L44)

Numbers

  • Value
    $82,000
    Context
    largest daily loss anecdote
    Ref
    S23-P0074 (L44)
    Source excerpt
    it was 82k

Losses and survival / Psychology and decisions

Independent engineering over untested public recipes

S23 | Frank | A: Explicit statement

Attribution: highexplicit opinion, not demonstrated universal claim

He advocates using personal strengths to construct a system and distrusting public claims. His assertion that no publicly known strategy can make money is broad opinion without proof and should coexist with other traders sharing useful rules.

ELI5: Do your own tests before trusting the recipe.

S23-P0072 (L44) S23-P0075 (L44)

Learning and review

Monthly headline and curve have scope limits

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

Host/description introduce a $600K month and $8.2M total, but recording precedes the final October day. Kyle says old closed accounts and small early results are not fully visible; growing chart scale visually hides earlier large losses. Neither leaderboard nor curve scale proves risk quality.

ELI5: A larger chart can hide old pain.

S24-P0013 (L16) S24-P0039 (L50) S24-P0041 (L50) S24-P0042 (L50) S24-P0043 (L50) S24-P0044 (L50)

Numbers

  • Value
    $600,000 / $8.2M
    Context
    host introduction
    Ref
    S24-P0039 (L50)
    Source excerpt
    $600,000 month and 8.2 million
  • Value
    2019
    Context
    displayed history start
    Ref
    S24-P0043 (L50)
    Source excerpt
    goes by 2019

Evidence and limitations

No fixed monthly target; opportunity drove results

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

He describes successive day and swing opportunities rather than hard return expectations. The strong month is a realized opportunity cluster, not a required income quota.

ELI5: Let opportunity set the pace.

S24-P0041 (L50) S24-P0042 (L50)

Strategy and regime

Adding swings changed the return mix

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

He attributes much recent acceleration to adding swing trading, while explicitly recognizing hindsight in adding up its profits. He also increased size and gradually accepted larger nominal losses, conditioning future growth on retaining profitability and edge.

ELI5: A new holding period changed his opportunity set.

S24-P0045 (L50) S24-P0046 (L50) S24-P0047 (L50) S24-P0048 (L50)

Numbers

  • Value
    $900,000+
    Context
    swing profits since May claim
    Ref
    S24-P0046 (L50)
    Source excerpt
    $900,000 and change
  • Value
    $20 versus $20,000
    Context
    emotional scaling comparison
    Ref
    S24-P0047 (L50)
    Source excerpt
    lost 20 bucks a day
  • Value
    $20,000
    Context
    current loss example
    Ref
    S24-P0048 (L50)
    Source excerpt
    lost 20 grand

Development / Sizing and exposure / Psychology and decisions

MSTR winner prompted reverse engineering

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

A major MSTR long across multiple accounts made him study what had worked. He concluded allowing a trend time was more feasible at his risk tolerance than increasing day-trade size enough to match it. He does not expect to repeat the headline every week; holding-period recollection shifts from months to a month and a half.

ELI5: Learn from the process of a winner, not just its dollars.

S24-P0049 (L50) S24-P0050 (L50) S24-P0051 (L50) S24-P0052 (L50) S24-P0053 (L50)

Exceptions

  • Holding period recalled inconsistently; not a fixed rule.

Numbers

  • Value
    November 2024
    Context
    turning-point trade
    Ref
    S24-P0049 (L50)
    Source excerpt
    November last year, 2024
  • Value
    $600,000+
    Context
    MSTR across accounts
    Ref
    S24-P0049 (L50)
    Source excerpt
    600 grand plus
  • Value
    $200,000
    Context
    prior largest gain
    Ref
    S24-P0049 (L50)
    Source excerpt
    like 200 grand

Development / Exits and adjustments / Learning and review

Tesla persistence depended on changing price behavior

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

Repeated breakouts had failed while higher lows formed. He tried again, initially bought a wick and likely added September 11, recognizing a shallower pullback and several days holding strength instead of returning to the prior trendline. Memory of first entry versus add is uncertain.

ELI5: Another attempt needs changed evidence.

S24-P0055 (L50) S24-P0056 (L50) S24-P0057 (L50)

Numbers

  • Value
    September 11
    Context
    probable add, not certain first buy
    Ref
    S24-P0056 (L50)
    Source excerpt
    September 11th

Entries and execution / Concrete examples

Leveraged vehicle followed the underlying exit signal

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

He traded TSLL but evaluated Tesla, trimming some and trailing the remainder against the 10-period moving average. A TSLL close below its own average was ignored while Tesla held; he exited when Tesla closed below. Instrument names are inconsistently captioned TSL/TSLL. Product leverage is a historical source claim.

ELI5: Use the signal chart you actually planned to follow.

S24-P0055 (L50) S24-P0057 (L50) S24-P0058 (L50) S24-P0059 (L50)

Numbers

  • Value
    2x
    Context
    described TSLL leverage
    Ref
    S24-P0057 (L50)
    Source excerpt
    2x leverage ETF of Tesla
  • Value
    $13-$14
    Context
    approximate vehicle entry
    Ref
    S24-P0057 (L50)
    Source excerpt
    14s or high 13s
  • Value
    $16/$19
    Context
    uncertain trims
    Ref
    S24-P0057 (L50)
    Source excerpt
    16s or the 19s
  • Value
    September 25
    Context
    vehicle/underlying divergence
    Ref
    S24-P0058 (L50)
    Source excerpt
    25th of September
  • Value
    October 3
    Context
    final exit
    Ref
    S24-P0059 (L50)
    Source excerpt
    October 3rd
  • Value
    $70K
    Context
    approximate profit
    Ref
    S24-P0059 (L50)
    Source excerpt
    70K or so

Strategy and regime / Exits and adjustments / Concrete examples

A later failed Tesla retry remains a separate trade

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

After the profitable swing he tried another long and stopped on weakening behavior. The earlier success did not force continued conviction.

ELI5: A winner yesterday can fail today.

S24-P0059 (L50)

Entries and execution / Losses and survival / Concrete examples

Trend participation beats predicting the crash in his framework

S24 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process description

He watches QQQ and prefers taking trends with stops to sitting out for a recession that may arrive much later. He explicitly rejects being a blind bull. His index-return illustration is hypothetical, not a forecast.

ELI5: Follow the trend with an exit rather than forecast its end.

S24-P0060 (L50) S24-P0061 (L50) S24-P0062 (L50) S24-P0063 (L50) S24-P0064 (L50)

Strategy and regime / Losses and survival / Psychology and decisions

BURU bearish thesis combined chronic weakness and overextension

S24 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process description

He saw repeated historical failed spikes, dilution and a fast low-priced run with another large gap. A red candle can still be a green day; that distinction is part of his topping interpretation. No filing verification is supplied.

ELI5: A failed push can matter before the day turns red.

S24-P0065 (L50) S24-P0066 (L50) S24-P0067 (L50)

Numbers

  • Value
    $0.13-$0.84
    Context
    run context
    Ref
    S24-P0065 (L50)
    Source excerpt
    13 cents
  • Value
    $0.30-$0.50
    Context
    blowoff candle
    Ref
    S24-P0066 (L50)
    Source excerpt
    30 cents to 50 cents
  • Value
    $0.20
    Context
    additional gap
    Ref
    S24-P0066 (L50)
    Source excerpt
    20 cents a share

Strategy and regime / Concrete examples

Early BURU short was stopped before re-evaluation

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

He shorted the open expecting immediate failure, covered half then the rest near premarket highs, and considered but did not require a later dollar test. When strength failed earlier he revised the level, started a feeler and added expecting a lower low.

ELI5: A bearish thesis still needs room to be wrong.

S24-P0067 (L50) S24-P0068 (L50) S24-P0069 (L50) S24-P0070 (L50) S24-P0071 (L50)

Numbers

  • Value
    $0.76-$0.77
    Context
    stop reference
    Ref
    S24-P0069 (L50)
    Source excerpt
    77 76ish
  • Value
    $0.85
    Context
    spike
    Ref
    S24-P0069 (L50)
    Source excerpt
    spike into 85
  • Value
    $1
    Context
    conditional possible risk level
    Ref
    S24-P0069 (L50)
    Source excerpt
    risking a buck

Entries and execution / Exits and adjustments / Concrete examples

Cover before assuming a gap must fill

S24 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process description

BURU flushed below 60 cents, but previous-close red/green was much lower. He covered rather than demand the whole gap fill because support could form while still green, then sought a bounce to reshort.

ELI5: A stock can fall a lot and still bounce above yesterday.

S24-P0071 (L50) S24-P0072 (L50) S24-P0073 (L50)

Numbers

  • Value
    sub $0.60
    Context
    cover area
    Ref
    S24-P0071 (L50)
    Source excerpt
    flush towards sub60
  • Value
    $0.45-$0.50
    Context
    red/green approximate reference
    Ref
    S24-P0072 (L50)
    Source excerpt
    4550

Exits and adjustments / Concrete examples

Failed support became BURU reshort resistance

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

He reshorted a bounce under former support and wished retrospectively he had added closer to 75 cents. Weak close led to overnight hold, next-day gap and further flush. Prices are approximate and closing values vary in recollection.

ELI5: Broken support can become a place to sell the bounce.

S24-P0073 (L50) S24-P0074 (L50) S24-P0083 (L50)

Numbers

  • Value
    $0.75
    Context
    bounce resistance
    Ref
    S24-P0073 (L50)
    Source excerpt
    75 bounce high
  • Value
    $0.55 / $0.45
    Context
    next-day open and flush
    Ref
    S24-P0074 (L50)
    Source excerpt
    55 so quite a big gap down and then we flushed to 45
  • Value
    $50K
    Context
    combined day/overnight result
    Ref
    S24-P0083 (L50)
    Source excerpt
    50k or so

Entries and execution / Concrete examples

Overnight short checklist needs cushion and confirmation

S24 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process description

For BURU he had realized profits, an open profitable position and continued after-hours fading. The opposite combination, red ticker, losing position and strength, argues against holding. He corrects himself that a cushion is not the worst-case bound; news remains unbounded tail uncertainty.

ELI5: A cushion helps absorb a gap; it does not stop one.

S24-P0075 (L50) S24-P0076 (L50) S24-P0077 (L50) S24-P0078 (L50) S24-P0079 (L50)

Numbers

  • Value
    $0.69-$0.70
    Context
    reshort average
    Ref
    S24-P0076 (L50)
    Source excerpt
    69 average, 70 average
  • Value
    $0.64 / $0.62
    Context
    close and after-hours recollection
    Ref
    S24-P0076 (L50)
    Source excerpt
    close at 64 cents
  • Value
    $0.62
    Context
    after-hours
    Ref
    S24-P0077 (L50)
    Source excerpt
    62 cents
  • Value
    10%
    Context
    open profit approximation
    Ref
    S24-P0077 (L50)
    Source excerpt
    at least 10% of my position

Strategy and regime / Losses and survival

Missing the gap can induce a bad chase

S24 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process description

He admits preferring overnight risk to the emotional pain of missing a gap down, possibly FOMO. The lower open is his desired cover zone, not a new short entry; chasing it tilts him. This explains preference but is not proof overnight risk is justified.

ELI5: Do not turn your missed exit into a new entry.

S24-P0079 (L50) S24-P0080 (L50) S24-P0081 (L50)

Strategy and regime

Overnight monitoring is intermittent

S24 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process description

He checks early, then may sleep again if price still confirms the fade. The host suggests an early hour, but Kyle does not commit to an exact wake time for BURU. This is not continuous risk coverage.

ELI5: Checking once is not watching all night.

S24-P0081 (L50) S24-P0082 (L50)

Losses and survival / Learning and review

IREN patience repaired a missed swing

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

Stopped around 19-20 and then missing earnings strength created FOMO. He waited instead of chasing until repeated attempts to break earnings-day support failed and price bounced from the first 10 SMA touch since the run. The earnings low is spoken as 2648, interpreted approximately 26.48 from price context.

ELI5: Missing the first move does not require chasing.

S24-P0084 (L50) S24-P0085 (L50) S24-P0086 (L50)

Numbers

  • Value
    $19-$20
    Context
    prior stop area
    Ref
    S24-P0084 (L50)
    Source excerpt
    19s 20 area
  • Value
    2648
    Context
    spoken earnings low
    Ref
    S24-P0085 (L50)
    Source excerpt
    2648
  • Value
    September 8
    Context
    new setup date
    Ref
    S24-P0086 (L50)
    Source excerpt
    8th of September
  • Value
    10 SMA
    Context
    support indicator
    Ref
    S24-P0086 (L50)
    Source excerpt
    10 SMA

Psychology and decisions / Concrete examples

IREN entry favored payoff despite uncertain odds

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

A hot data-center theme, reported strong earnings, support and roughly one-dollar risk justified a long near 26 even if probability was low. He trimmed at 33 and 48, then deliberately stopped over-trimming and trusted the average until a close below near 60.

ELI5: A tight risk point can justify an uncertain trade.

S24-P0087 (L50) S24-P0088 (L50) S24-P0089 (L50)

Numbers

  • Value
    $26 / $1
    Context
    entry and risk
    Ref
    S24-P0087 (L50)
    Source excerpt
    26s and only having to risk like a dollar a share
  • Value
    270%
    Context
    earnings increase claim
    Ref
    S24-P0087 (L50)
    Source excerpt
    earnings by 270%
  • Value
    $33
    Context
    first trim
    Ref
    S24-P0087 (L50)
    Source excerpt
    first trim was at like 33
  • Value
    $48
    Context
    later trim
    Ref
    S24-P0088 (L50)
    Source excerpt
    like 48
  • Value
    $60
    Context
    remainder exit
    Ref
    S24-P0088 (L50)
    Source excerpt
    60 bucks a share
  • Value
    $138K
    Context
    reported profit
    Ref
    S24-P0088 (L50)
    Source excerpt
    138,000 on that swing

Entries and execution / Exits and adjustments / Losses and survival / Concrete examples

Swing magnitude can substitute for larger day-trade size

S24 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process description

IREN reinforced the MSTR lesson: holding a large percentage trend produced a substantial gain without his largest dollar position. He qualifies that the swing must work and guarantees nothing.

ELI5: Time in a trend can do work that more size cannot safely do.

S24-P0088 (L50) S24-P0089 (L50) S24-P0090 (L50)

Exits and adjustments / Sizing and exposure

Momentum scan feeds a qualitative watchlist

S24 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process description

He credits a name captioned Koolagi for scanning at least 30% performance over one, three or six months in TradingView, emphasizing mid/large caps. Then sector, news, chart and respect for moving averages narrow the list. IREN first attracted attention after rising from 10 to nearly 20, not at the bottom.

ELI5: Find strength first, then wait for a sensible risk point.

S24-P0090 (L50) S24-P0091 (L50) S24-P0092 (L50) S24-P0093 (L50) S24-P0094 (L50)

Numbers

  • Value
    30% / 1,3,6 months
    Context
    scan thresholds
    Ref
    S24-P0091 (L50)
    Source excerpt
    at least 30% in the last 6 months or 3 months or one month
  • Value
    $10-$20
    Context
    initial IREN discovery move
    Ref
    S24-P0092 (L50)
    Source excerpt
    10 to nearly 20

Strategy and regime / Testing and automation

Moving-average respect is a selection condition

S24 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process description

Some stocks ignore moving averages. He prefers those with a history of respecting the 10 SMA, then takes a breakout or fresh support near it. No perfect entry is required if reward/risk is good and the trend thesis remains plausible.

ELI5: Use a line only when the stock has treated it as meaningful.

S24-P0092 (L50) S24-P0093 (L50) S24-P0094 (L50)

Strategy and regime / Entries and execution

Prior FFIE loss limited BYND aggression but did not eliminate it

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

His largest career loss on an extreme FFIE runner taught him to preserve capital for the backside. BYND shared massive volume and social hype; he still entered too early but says risk stayed survivable. This is not evidence all future runners will offer a profitable backside.

ELI5: Survival matters before the reversal arrives.

S24-P0095 (L50) S24-P0096 (L50) S24-P0097 (L50)

Numbers

  • Value
    10,000%
    Context
    FFIE run magnitude claim
    Ref
    S24-P0095 (L50)
    Source excerpt
    10,000%
  • Value
    $0.60-$7 / 3 days
    Context
    BYND run context
    Ref
    S24-P0096 (L50)
    Source excerpt
    60 cents to seven bucks, seven and change over really three days

Development / Losses and survival

First BYND loss began with a missed planned cover

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

October 21 shorts near 2.20-2.30 initially reached the sub-two idea, but he became greedy for still lower prices. Repeated covers and re-shorts expanded the loss beyond the desired 20-25K to around 40-50K. He calls it within wider risk but above intention.

ELI5: A winning start does not excuse ignoring the exit.

S24-P0097 (L50) S24-P0098 (L50) S24-P0099 (L50) S24-P0100 (L50)

Numbers

  • Value
    October 21
    Context
    first reviewed day
    Ref
    S24-P0098 (L50)
    Source excerpt
    21st of October
  • Value
    $2.20-$2.30
    Context
    short area
    Ref
    S24-P0098 (L50)
    Source excerpt
    230s, 220s
  • Value
    183
    Context
    revised spoken low
    Ref
    S24-P0099 (L50)
    Source excerpt
    Yeah, 183
  • Value
    $20K-$25K
    Context
    intended loss
    Ref
    S24-P0100 (L50)
    Source excerpt
    20 25Kish
  • Value
    $40K-$50K
    Context
    actual approximate loss
    Ref
    S24-P0100 (L50)
    Source excerpt
    40 50 grand

Exits and adjustments / Losses and survival / Concrete examples

One ticker can contain multiple setups, but losses still aggregate

S24 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process description

He distinguishes initial gap-fade and subsequent parabolic-short theses despite broker grouping. Both lost. This is useful attribution but does not make combined exposure independent or exempt from an account loss limit.

ELI5: Label the ideas separately; still add the losses.

S24-P0100 (L50) S24-P0101 (L50) S24-P0102 (L50) S24-P0105 (L50) S24-P0106 (L50)

Numbers

  • Value
    $20K-$30K
    Context
    additional chop loss
    Ref
    S24-P0102 (L50)
    Source excerpt
    20 30 grand
  • Value
    $64K
    Context
    approximate combined day loss
    Ref
    S24-P0105 (L50)
    Source excerpt
    64 grandish

Losses and survival

Partial cover and false backside gave back a recovery

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

An after-hours parabolic short worked, but he covered only part near 3.30 hoping for sub-three. The bounce was mistaken for a new backside entry and strength returned. He explicitly labels the retained piece greedy and notes full cover would retrospectively have offset the day.

ELI5: A large pullback is not proof the trend has ended.

S24-P0102 (L50) S24-P0103 (L50) S24-P0104 (L50)

Numbers

  • Value
    60-70%
    Context
    portion covered
    Ref
    S24-P0102 (L50)
    Source excerpt
    60 or 70%
  • Value
    $3.30
    Context
    cover area
    Ref
    S24-P0102 (L50)
    Source excerpt
    330s

Exits and adjustments

BYND failed the overnight checklist

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

Losing on the ticker and position, no new lower lows and renewed highs contradicted his BURU hold conditions, so he covered. The later gap higher illustrates the avoided risk; it was not foreseeable with certainty.

ELI5: The same checklist can tell you to leave.

S24-P0104 (L50) S24-P0105 (L50) S24-P0107 (L50) S24-P0108 (L50)

Numbers

  • Value
    $4.50
    Context
    position back underwater
    Ref
    S24-P0105 (L50)
    Source excerpt
    over like 450

Testing and automation / Concrete examples

Sleep and hindsight constrain missed-opportunity stories

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

After an exhausting day he slept through the premarket spike near nine, waking about 8:30 Eastern. He rejects assuming he would have shorted the exact top. A later premarket trade worked but was covered quickly.

ELI5: Seeing a perfect chart later is not trading it live.

S24-P0108 (L50) S24-P0109 (L50)

Numbers

  • Value
    8:30 Eastern
    Context
    wake time
    Ref
    S24-P0109 (L50)
    Source excerpt
    8:30 Eastern
  • Value
    $7.20-$6.80
    Context
    early short and cover
    Ref
    S24-P0109 (L50)
    Source excerpt
    720 only down to like 680

Learning and review / Concrete examples

Bearish fixation obscured the wedge

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

Next-day price action encouraged repeated short attempts but did not fully fail. He ignored a wedge while convinced it would collapse; stops near the last premarket reference and slippage left roughly 80K lost, approaching a stated roughly 100K maximum. Scope is the described trade, not necessarily universal daily policy.

ELI5: Conviction can stop you seeing contrary structure.

S24-P0110 (L50) S24-P0111 (L50) S24-P0112 (L50)

Numbers

  • Value
    $80K
    Context
    approximate loss including slippage
    Ref
    S24-P0112 (L50)
    Source excerpt
    down like 80k
  • Value
    $100K
    Context
    contextual max stop
    Ref
    S24-P0112 (L50)
    Source excerpt
    max stop is is around 100

Losses and survival / Evidence and limitations / Concrete examples

Reset changed size before adding confirmation

S24 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process description

He paused mentally, restarted minutes later at a tiny fraction of former size, then watched repeated failed pushes, trend break below VWAP and a further lower low. He added into a bounce as confirmation developed. The sequence is discretionary, not a predefined bar algorithm.

ELI5: Start small again and let price earn the add.

S24-P0113 (L50) S24-P0114 (L50) S24-P0115 (L50) S24-P0116 (L50)

Numbers

  • Value
    3-4 minutes
    Context
    restart interval
    Ref
    S24-P0114 (L50)
    Source excerpt
    3 or 4 minutes later
  • Value
    5%
    Context
    relative former position, not account risk
    Ref
    S24-P0114 (L50)
    Source excerpt
    5% position of what I had

Sizing and exposure

Backside exits adapted to diminishing remaining range

S24 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process description

He covered the main flush in stages near five, 4.50 and four, expecting red/green support. When a hoped-for larger bounce failed, he took a smaller continuation short and faster covers because another equally large flush was less plausible.

ELI5: Later entries have less room left.

S24-P0117 (L50) S24-P0118 (L50) S24-P0119 (L50)

Numbers

  • Value
    $5/$4.50/$4
    Context
    main covers
    Ref
    S24-P0117 (L50)
    Source excerpt
    at five uh some at 450, some at four
  • Value
    $4/$3/$2.90/$2.80
    Context
    smaller continuation
    Ref
    S24-P0119 (L50)
    Source excerpt
    shorting at four
  • Value
    $2.80
    Context
    final approximate cover
    Ref
    S24-P0119 (L50)
    Source excerpt
    rest like 280

Exits and adjustments / Sizing and exposure / Concrete examples

Recovery total includes unseen long trades

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

He estimates about 150K green by the red day after prior losses, but the aggregation period is not completely clear. Separate-account dip buys near 2.80-2.90 sold in high threes helped, while shorts dominated. The visible chart therefore does not show all contributing executions.

ELI5: The displayed arrows are not the whole result.

S24-P0119 (L50) S24-P0120 (L50)

Numbers

  • Value
    $150K
    Context
    approximate result with scope uncertainty
    Ref
    S24-P0119 (L50)
    Source excerpt
    up 150 or so
  • Value
    $2.80-$2.90
    Context
    dip buy
    Ref
    S24-P0120 (L50)
    Source excerpt
    280 290ish
  • Value
    high $3s
    Context
    dip exit
    Ref
    S24-P0120 (L50)
    Source excerpt
    high 3s

Evidence and limitations / Concrete examples

Original risk reference was replaced by FOMO

S24 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process description

His plan was to short strength above seven using premarket resistance near eight to high eights. Faster-than-expected weakness made him chase instead. Review favored small early risk and larger exposure only at the planned location. Waiting cannot control price but can preserve control of the plan.

ELI5: Let the entry come to your risk point.

S24-P0122 (L50) S24-P0123 (L50) S24-P0124 (L50) S24-P0125 (L50) S24-P0126 (L50) S24-P0127 (L50) S24-P0128 (L50)

Numbers

  • Value
    $7.20 / $8.80
    Context
    planned entry/reference illustration
    Ref
    S24-P0123 (L50)
    Source excerpt
    720s
  • Value
    $8.80
    Context
    high reference
    Ref
    S24-P0123 (L50)
    Source excerpt
    880s
  • Value
    $7+ / $8
    Context
    reviewed preferred location
    Ref
    S24-P0125 (L50)
    Source excerpt
    seven plus risking off eight

Losses and survival

No overnight short after collapse had a different rationale

S24 | Kyle Williams | B: Reported experience

Attribution: highunverified reported experience

After the big red day he wanted a bounce for a better redo, noting extreme collapses can gap up as FFIE once did. He abandoned a possible bullish gap idea when fresh lows appeared. This was separate from the earlier strength-based no-hold decision and includes admitted hope.

ELI5: After a collapse, another down gap is not automatic.

S24-P0129 (L50) S24-P0130 (L50) S24-P0131 (L50) S24-P0132 (L50) S24-P0133 (L50)

Numbers

  • Value
    $4 to $1
    Context
    FFIE prior collapse, pre-split
    Ref
    S24-P0131 (L50)
    Source excerpt
    four bucks to a dollar
  • Value
    $2-$2.50
    Context
    FFIE gap rebound recollection
    Ref
    S24-P0132 (L50)
    Source excerpt
    two and a half bucks

Psychology and decisions

Dilution discussion is host context, not a complete catalyst model

S24 | Stephen Johnson / Kyle Williams | A: Explicit statement

Attribution: highhost claim with guest response

The host raises BYND debt-for-shares and possible ATM dilution. Kyle responds about his bounce expectations rather than providing filing-derived timing or supply thresholds. Treat the claims as interview context requiring independent current verification before use.

ELI5: A bearish balance sheet does not time the trade.

S24-P0128 (L50) S24-P0129 (L50) S24-P0130 (L50)

Strategy and regime

Peer reviews are suggested as learning resources

S24 | Kyle Williams | A: Explicit statement

Attribution: highexplicit process description

Kyle nominates Laptop Legend and Edu Trades for chart reviews, identifying education value rather than claiming their methods validate his.

ELI5: Study how other traders review decisions.

S24-P0134 (L50)

Learning and review

Separate career profit from the short verified window

S25 | Sean Rechtman (Sean Trades; SRxTrades) | B: Reported experience

Attribution: highunverified reported experience

Guest claims over $2.8 million including long-term positions across seven years. Intro says $216,000 first verified month, then host says $470,000 in a month and rounds to half a million. These scopes and observation times are unresolved, not one audited return series.

ELI5: A short tracked period does not prove the entire career total.

S25-P0043 (L55) S25-P0045 (L55) S25-P0048 (L55) S25-P0049 (L55)

Numbers

  • Value
    $2.8 million
    Context
    Includes long-term positions
    Ref
    S25-P0049 (L55)
    Source excerpt
    over 2.8 million
  • Value
    $216,000
    Context
    Intro first month claim
    Ref
    S25-P0043 (L55)
    Source excerpt
    $216,000
  • Value
    $470,000
    Context
    Host recent month claim
    Ref
    S25-P0045 (L55)
    Source excerpt
    470,000 in a month

Evidence and limitations

Teenage access did not supply an edge

S25 | Sean Rechtman (Sean Trades; SRxTrades) | B: Reported experience

Attribution: highunverified reported experience

Started through a father-assisted custodial account and paper trading, with no family finance background. Earnings options consumed summer-job savings over the first one to two years; unrealistic immediate wealth expectations compounded weak habits.

ELI5: Opening an account did not mean he knew how to trade.

S25-P0050 (L55) S25-P0051 (L55) S25-P0052 (L55) S25-P0054 (L55) S25-P0055 (L55)

Numbers

  • Value
    17
    Context
    Age at start
    Ref
    S25-P0051 (L55)
    Source excerpt
    when I was 17
  • Value
    1-2 years
    Context
    Early losses
    Ref
    S25-P0055 (L55)
    Source excerpt
    1 to 2 years

Development / Losses and survival

Choose mentors with a credible record and actual method

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

He moved from random social-media advice to studying successful traders including Oliver Kell, Minervini and a captioned Swedish trader name. Initially advocated following a strategy exactly; later distinguishes learning its edge from copying its operator.

ELI5: Learn from someone whose results and method can be examined.

S25-P0056 (L55) S25-P0057 (L55) S25-P0058 (L55) S25-P0087 (L55) S25-P0088 (L55)

Development / Learning and review

Daily green is not the objective

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

His mentors shared momentum orientation. Trading with market direction was a more workable first goal than beating the market daily; early milestones were breakeven and preservation before outperformance.

ELI5: Trying to win every day can force bad trades.

S25-P0058 (L55) S25-P0059 (L55)

Strategy and regime

Learning momentum did not immediately stop account failures

S25 | Sean Rechtman (Sean Trades; SRxTrades) | B: Reported experience

Attribution: highunverified reported experience

He explicitly blew accounts after discovering momentum. A reported $100 to over $30,000 run in 2021 lost over 80% in 2022, making preservation through regime change central.

ELI5: Finding a promising method did not immediately stop his losses.

S25-P0061 (L55) S25-P0062 (L55) S25-P0063 (L55) S25-P0066 (L55)

Numbers

  • Value
    $100 to over $30,000
    Context
    2021 account growth anecdote
    Ref
    S25-P0062 (L55)
    Source excerpt
    a $100 uh account into over $30,000
  • Value
    over 80%
    Context
    2022 drawdown
    Ref
    S25-P0062 (L55)
    Source excerpt
    lost over 80%

Development / Losses and survival

Press only when trades gain traction

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

He increases aggression when conditions are easy and backs off when positions do not work. This is a response to actual traction, not a fixed risk schedule; no numerical scaling trigger is supplied.

ELI5: He bets less when his trades stop working.

S25-P0064 (L55) S25-P0065 (L55) S25-P0066 (L55) S25-P0067 (L55)

Strategy and regime / Losses and survival

Organize AI and other themes into distinct subgroups

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

Memory, photonics, semiconductors and data centers are separate opportunities inside the AI theme. His watchlist groups stocks by theme so rotation and leadership can be tracked rather than treating all AI names alike.

ELI5: One big story can create several different groups of winning companies.

S25-P0060 (L55) S25-P0061 (L55) S25-P0071 (L55)

Strategy and regime

Volume is a timely proxy, not identified institutional ownership

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

He sometimes reads 13F filings but views their delay as a disadvantage, preferring volume in multi-month bases. He acknowledges dark pools. His inference that institutions accumulate is a trader interpretation, not evidence that volume uniquely identifies buyers.

ELI5: Heavy trading shows activity, but not exactly who is buying.

S25-P0068 (L55) S25-P0069 (L55) S25-P0070 (L55) S25-P0071 (L55)

Evidence and limitations

Distinguish base accumulation from continuation

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

Sideways stage-one bases with stronger buying volume and lighter pullbacks go on watch; stage-two stocks already moving can form smaller continuation bases. He cites Weinstein as an influence.

ELI5: He watches both stocks preparing to rise and rising stocks taking a rest.

S25-P0071 (L55) S25-P0072 (L55)

Strategy and regime

Select leaders from index to sector to stock

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

Top-down direction and relative strength precede an entry pattern. LITE and AAOI illustrate photonics leadership; a flat top, bull flag or continuation must supply a clear risk level.

ELI5: He checks the wider market before choosing a leading stock.

S25-P0073 (L55) S25-P0074 (L55)

Strategy and regime

Prefer an outperforming stock within the theme

S25 | Sean Rechtman (Sean Trades; SRxTrades) | B: Reported experience

Attribution: highunverified reported experience

NEM making new highs while gold did not was his gold-miner example. The host supplies the broader AI-tool and macro-research suggestions, not a guest-mandated screening workflow.

ELI5: He looks for a company rising faster than the thing it produces.

S25-P0074 (L55) S25-P0075 (L55) S25-P0076 (L55)

Concrete examples

Options were a capital tool, not a requirement

S25 | Sean Rechtman (Sean Trades; SRxTrades) | B: Reported experience

Attribution: highunverified reported experience

Limited capital initially motivated calls; he says small accounts need not use options and must understand premium behavior. Calls dominated the uptrend, puts were learned in the 2022 decline, and NIO was an early EV winner.

ELI5: A small account does not require the extra risk of options.

S25-P0077 (L55) S25-P0078 (L55) S25-P0082 (L55)

Development

Deposits must not masquerade as trading return

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

After drawdown he mainly traded equities and added earned savings. He warns that larger funding does not repair a losing process; account growth later also benefited from Nvidia and SMCI in the AI trend.

ELI5: Money added from a job is not trading profit.

S25-P0079 (L55) S25-P0080 (L55)

Sizing and exposure / Evidence and limitations

Use journal evidence to remove weak trading periods

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

His early commitment was eight to ten hours daily, with three to four hours trading. His journal showed poor lunch results amid low volume, prompting a break; he explicitly says this depends on the individual system.

ELI5: His own records showed when he tended to make bad trades.

S25-P0084 (L55) S25-P0085 (L55) S25-P0087 (L55)

Exceptions

  • Lunch avoidance is personal evidence, not a universal market law.

Numbers

  • Value
    8-10 hours
    Context
    Early daily commitment
    Ref
    S25-P0084 (L55)
    Source excerpt
    eight to 10 hours a day
  • Value
    3-4 hours
    Context
    Trading portion
    Ref
    S25-P0084 (L55)
    Source excerpt
    three to four hours

Learning and review

No preparation means no trading

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

He wakes 1.5-2 hours before open, defines names and plans, trades only triggers, may return for power hour, journals after close and scans nightly. Missing preparation causes him to skip because improvisation creates emotional mistakes.

ELI5: He skips trading when he has not prepared a plan.

S25-P0085 (L55) S25-P0086 (L55) S25-P0087 (L55)

Numbers

  • Value
    1.5-2 hours
    Context
    Before open
    Ref
    S25-P0085 (L55)
    Source excerpt
    two hours or an hour and a half before the open

Entries and execution

Personalize a proven concept to patience and temperament

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

He no longer seeks to become an exact copy of a mentor. A swing system mismatched to personal patience is not executable even when the underlying idea is credible.

ELI5: A method must fit the patience of the person using it.

S25-P0088 (L55) S25-P0089 (L55)

Psychology and decisions / Learning and review

Stay a student of actual market behavior

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

Books and videos helped, but active observation is his preferred teacher. He refuses mastery language and focuses on understanding why patterns work or fail.

ELI5: He keeps learning from what prices actually do.

S25-P0090 (L55) S25-P0091 (L55) S25-P0160 (L55) S25-P0161 (L55)

Learning and review

Technical analysis is primary, despite the host fundamental framing

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

He does not describe deep SEC-filing or dilution research. Price/volume preceding news and institutions knowing earnings are his beliefs, qualified in speech, not demonstrated causal facts.

ELI5: He mainly studies price behavior rather than company filings.

S25-P0091 (L55) S25-P0092 (L55) S25-P0093 (L55) S25-P0094 (L55)

Evidence and limitations

Stop repeated loser averaging and ignored stops

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

He attributes early failure to averaging down toward zero and not respecting stops. Exhaustion with repeating errors drove an actual system and risk focus; full-account option bets threaten survival.

ELI5: Adding to a losing trade and ignoring the exit can destroy an account.

S25-P0094 (L55) S25-P0095 (L55) S25-P0096 (L55)

Losses and survival / Psychology and decisions

Host loss analogies are not guest win-rate statistics

S25 | Stephen Johnson | A: Explicit statement

Attribution: highhost analogy, not empirical evidence

Stephen illustrates why repeated averaging can win often then lose catastrophically and compares doubling to roulette. These illustrative figures are not measured frequencies for Sean or a validated strategy.

ELI5: The host examples explain a danger; they are not measured win rates.

S25-P0097 (L55) S25-P0098 (L55) S25-P0099 (L55)

Losses and survival

Tesla volume sequence requires follow-through

S25 | Sean Rechtman (Sean Trades; SRxTrades) | B: Reported experience

Attribution: highunverified reported experience

In the 2024 Tesla example, an earnings gap has ignition volume, then a low-volume flag, then renewed volume on continuation. He entered near moving averages; the behavior after the initial gap matters more than a single high-volume bar.

ELI5: He wants strong buying, a quiet pullback, then renewed buying.

S25-P0100 (L55) S25-P0101 (L55) S25-P0102 (L55) S25-P0103 (L55)

Concrete examples

Rising sell volume can warn that the trend is changing

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

Near Tesla highs he saw increasing downside volume, then a high-volume break and a short opportunity. He explicitly does not act blindly on volume without the momentum context.

ELI5: More selling near the highs can warn that buyers are losing control.

S25-P0103 (L55) S25-P0104 (L55) S25-P0105 (L55) S25-P0106 (L55)

Strategy and regime

Compare effort with price result

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

Crediting Anna Coulling, he contrasts high volume that closes strongly with high volume producing little progress. Volume and the resulting price action must be read together.

ELI5: A lot of trading with little price progress can be a warning.

S25-P0106 (L55) S25-P0107 (L55) S25-P0108 (L55)

Learning and review

Change entry style when breakouts stop working

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

In chop, prior-high breakouts frequently reverse, so he seeks failed downside breaks near range lows. Once the index breaks down he favors short direction. This is regime-sensitive execution, not a claim that one pattern works everywhere.

ELI5: When new highs keep failing, he looks for entries closer to the lows.

S25-P0108 (L55) S25-P0109 (L55) S25-P0110 (L55) S25-P0111 (L55) S25-P0118 (L55) S25-P0119 (L55)

Strategy and regime

Option mispricing is asserted without a pricing model

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

He preferred options for short reversion moves that fizzled in shares and calls premiums cheap or mispriced at lows. No fair-value benchmark or implied-volatility control is provided, so price appreciation alone cannot establish mispricing.

ELI5: An option looking cheap does not prove it is underpriced.

S25-P0112 (L55) S25-P0113 (L55)

Evidence and limitations

Use the index reversal to select relatively strong stocks

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

He usually buys one-to-two-week options rather than zero-day contracts in these examples. Nasdaq undercut/reclaim is context for stock selection. DELL after an earnings gap reclaimed a low around March 10 and became a multi-day swing; volume was less clean than Tesla.

ELI5: He uses the wider market turn to choose stocks holding up better.

S25-P0114 (L55) S25-P0115 (L55) S25-P0116 (L55) S25-P0117 (L55)

Numbers

  • Value
    1-2 weeks
    Context
    Typical expiry in described reversion trades
    Ref
    S25-P0114 (L55)
    Source excerpt
    one to two weeks out

Strategy and regime

USAR undercut entry has an explicit price invalidation

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

USAR was his second-biggest trade of the year. In its daily uptrend/base he marked the previous day low, waited for a break below and reclaim on a lower timeframe, and entered above the reclaimed level with stop at low of day.

ELI5: He buys after price recovers a broken low and exits if the new low fails.

S25-P0118 (L55) S25-P0119 (L55) S25-P0120 (L55) S25-P0121 (L55) S25-P0122 (L55)

Entries and execution / Exits and adjustments / Concrete examples

Position allocation and planned loss are different quantities

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

He gives 10%, 15% or 20% account allocation while estimating 1-2% account loss if stopped. The estimate assumes execution near the level; no option-risk conversion or gap-loss cap is stated.

ELI5: Money placed in a trade is different from money expected to be lost at the stop.

S25-P0122 (L55) S25-P0123 (L55)

Numbers

  • Value
    10%,15%,20%
    Context
    Position allocation examples
    Ref
    S25-P0123 (L55)
    Source excerpt
    10, 15, 20% of my account
  • Value
    1-2%
    Context
    Planned account loss if stopped
    Ref
    S25-P0123 (L55)
    Source excerpt
    1 to 2% of the account

Sizing and exposure / Losses and survival

Overnight permission depends on cushion

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

He holds a working entry overnight when it closes strongly with enough cushion, then seeks continuation. Cushion is undefined and cannot guarantee protection against overnight gaps; he acknowledges the gold short might stop him next day.

ELI5: He holds overnight only after the trade has built some profit.

S25-P0123 (L55) S25-P0130 (L55) S25-P0133 (L55)

Losses and survival

Undercut entries remain allowed in strong markets

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

He will take a good U&R in a bull market, but the strongest stocks often offer only high-tight flags or breakouts, never returning below the prior low. Regime preference is not an exclusion rule.

ELI5: He still accepts a good recovery setup in a strong market.

S25-P0124 (L55) S25-P0125 (L55)

Entries and execution

JPM reverses the failed-break logic in a weak sector

S25 | Sean Rechtman (Sean Trades; SRxTrades) | B: Reported experience

Attribution: highunverified reported experience

With XLF weak and JPM downtrending into moving averages, a break above prior-day high followed by rejection enables puts without chasing a breakdown. He reports a two-day move, about 5% underlying versus 120-150% option appreciation; this is one trade, not expectancy.

ELI5: He bets on a fall after a weak stock fails to hold a new high.

S25-P0127 (L55) S25-P0128 (L55) S25-P0129 (L55) S25-P0130 (L55) S25-P0131 (L55)

Numbers

  • Value
    5%
    Context
    Underlying move example
    Ref
    S25-P0131 (L55)
    Source excerpt
    5% move on the stock
  • Value
    120-150%
    Context
    Reported options move
    Ref
    S25-P0131 (L55)
    Source excerpt
    120, 150% move

Concrete examples

Gold rejection combines technical trigger and dollar thesis

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

Gold rallied into its 8 EMA, breached prior-day high and fell back through; stop was high of day. DXY strength, gold extension and distribution volume supported his thesis, while longer-term gold upside remained possible.

ELI5: A failed bounce and a stronger dollar supported his gold-short idea.

S25-P0132 (L55) S25-P0133 (L55) S25-P0134 (L55) S25-P0135 (L55) S25-P0138 (L55) S25-P0139 (L55) S25-P0142 (L55)

Exceptions

  • His statement that a higher dollar always weakens gold is an untested absolute, not a universal rule.

Sizing and exposure

Host gold macro narrative must stay separately attributed

S25 | Stephen Johnson | A: Explicit statement

Attribution: highuncorroborated host narrative

Stephen discusses bond yields, inflation, expected rate cuts and alleged forced gold sales by Turkey and Gulf countries. The interview supplies no corroborating data for these causal assertions; they do not become Sean entry requirements.

ELI5: The host economic story is separate from the guest trading rules.

S25-P0136 (L55) S25-P0137 (L55) S25-P0139 (L55) S25-P0140 (L55) S25-P0141 (L55)

Strategy and regime

Memory leadership failure supplied a rotation warning

S25 | Sean Rechtman (Sean Trades; SRxTrades) | B: Reported experience

Attribution: highunverified reported experience

WDC, MU, SNDK and STX had led, but failed new highs and breaks below daily 8/21 EMAs suggested distribution. He describes a largest yearly short over $174,000, with some ticker switching in the spoken chart discussion.

ELI5: Former leaders failing to make new highs warned him that demand was weakening.

S25-P0143 (L55) S25-P0144 (L55) S25-P0145 (L55) S25-P0146 (L55)

Numbers

  • Value
    over $174,000
    Context
    Largest yearly trade claim
    Ref
    S25-P0143 (L55)
    Source excerpt
    over 174,000 on one trade
  • Value
    8/21 EMA
    Context
    Daily momentum measures
    Ref
    S25-P0146 (L55)
    Source excerpt
    eight and the 21 EMAs

Concrete examples

A pivot is confirmation at resistance, not a guessed top

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

After a rise into resistance he waits for the first red 15-minute candle, marks its high/low, enters puts on a low break and stops above its high. He also allows a 30-minute pivot; the example alternates 8 versus 9 EMA, which remains unresolved.

ELI5: He waits for a down candle and a break below it before betting on a fall.

S25-P0147 (L55) S25-P0148 (L55) S25-P0149 (L55) S25-P0150 (L55)

Numbers

  • Value
    15 or 30 minutes
    Context
    Allowed confirmation frames
    Ref
    S25-P0148 (L55)
    Source excerpt
    15-minute or a 30-minute pivot

Entries and execution

Retest adds increased a successful pivot exposure

S25 | Sean Rechtman (Sean Trades; SRxTrades) | B: Reported experience

Attribution: highunverified reported experience

He added when price retested the pivot, then benefited from a reported 9-10% next-day gap down. No add size or revised aggregate risk is disclosed; being positioned for luck does not forecast gaps.

ELI5: Adding another entry increased both exposure and potential reward.

S25-P0151 (L55) S25-P0152 (L55)

Numbers

  • Value
    9-10%
    Context
    Reported next-day gap
    Ref
    S25-P0151 (L55)
    Source excerpt
    nine or 10% the next day
  • Value
    about 60%
    Context
    Self-reported win rate, sample unspecified
    Ref
    S25-P0152 (L55)
    Source excerpt
    win rate is like 60%

Concrete examples

Simplicity supports repeatability but does not prove an edge

S25 | Sean Rechtman (Sean Trades; SRxTrades) | A: Explicit statement

Attribution: highexplicit process description

He wants simple setups he can repeat when present, with continual adjustment when no edge exists. Passion and never-lose rhetoric are motivation rather than assurance; the host explicitly acknowledges hindsight in the chart review.

ELI5: A simple routine is easier to repeat, but still needs evidence that it works.

S25-P0154 (L55) S25-P0155 (L55) S25-P0156 (L55) S25-P0157 (L55) S25-P0158 (L55) S25-P0160 (L55) S25-P0161 (L55) S25-P0164 (L55)

Psychology and decisions / Evidence and limitations

Description exit promises exceed the spoken rule detail

S25 | Sean Rechtman (Sean Trades; SRxTrades) | E: Unclear or conflicting

Attribution: highdescription-body detail gap

Metadata promises partials and EMA trailing instead of fixed targets, but the provided spoken body gives no exact partial size, trigger or trailing procedure. Those details cannot be filled from the promotional description.

ELI5: The introduction promises exit details that the interview does not actually supply.

S25-P0019 (L25) S25-P0123 (L55) S25-P0133 (L55) S25-P0150 (L55)

Exits and adjustments

Credentials did not prevent uninformed trading losses

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | B: Reported experience

Attribution: highunverified reported experience

He reports losing poker winnings despite CFA study and later analyst experience. A biotech fund and independent White Diamond Research built company-analysis skills, but corporate fit and research revenue struggles preceded trading improvement.

ELI5: Finance education did not protect him from losing money.

S26-P0043 (L49) S26-P0044 (L49) S26-P0045 (L49) S26-P0046 (L49) S26-P0050 (L49) S26-P0051 (L49) S26-P0052 (L49) S26-P0053 (L49)

Development / Learning and review

A mentor turned observation into a workable niche

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

A hedge-fund contact showed him repeated small-cap shorts after news spikes. He began emulating those trades and combined fundamental and technical judgment; he cannot isolate one exact magical change when pressed.

ELI5: Watching a skilled trader helped him find a method to practice.

S26-P0047 (L49) S26-P0048 (L49) S26-P0055 (L49) S26-P0056 (L49) S26-P0057 (L49)

Development

Performance headline scopes are not reconciled

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | E: Unclear or conflicting

Attribution: highconflicting scope and rounded figures

Description says over $9m with $600k last 30 days; spoken intro says $500k. Later host suggests $10m-plus including unverified gains, and guest acknowledges unverified money. Start capital is spoken as $50k then $10-20k, while description uses $20k.

ELI5: Different profit figures and starting amounts are not fully explained.

S26-P0015 (L17) S26-P0030 (L34) S26-P0042 (L49) S26-P0067 (L49) S26-P0068 (L49) S26-P0112 (L49)

Numbers

  • Value
    $600k versus $500k
    Context
    Description versus intro last 30 days
    Ref
    S26-P0015 (L17)
    Source excerpt
    over $600K in the last 30 days
  • Value
    $500k
    Context
    Intro last 30 days
    Ref
    S26-P0042 (L49)
    Source excerpt
    500K in the last 30 days
  • Value
    $50,000
    Context
    Initial spoken capital
    Ref
    S26-P0067 (L49)
    Source excerpt
    $50,000

Psychology and decisions / Evidence and limitations

Small-cap short performance depends on market regime

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | B: Reported experience

Attribution: highunverified reported experience

Near-million 2020 gains reversed in the bullish early 2021 environment with oversized shorts and EV themes. He describes better results in bearish 2022 and estimates 90% of his trades are shorts; recent sector drawdowns show the issue persists.

ELI5: A strong rising market made his usual short trades much harder.

S26-P0058 (L49) S26-P0059 (L49) S26-P0060 (L49) S26-P0061 (L49)

Numbers

  • Value
    90%
    Context
    Estimated short share of trades
    Ref
    S26-P0061 (L49)
    Source excerpt
    90% of my my trades are short

Strategy and regime / Losses and survival

Winning streaks can encourage disaster-sized positions

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | B: Reported experience

Attribution: highunverified reported experience

He connects feeling invincible after a strong run to increased size and stubbornness. TOP in April 2023 reportedly cost $3.5m overall, about $3m on Kinfo, before recovery around September; scope is approximate.

ELI5: Feeling unbeatable can lead to bets that are far too large.

S26-P0062 (L49) S26-P0063 (L49) S26-P0064 (L49)

Numbers

  • Value
    $3.5m / about $3m
    Context
    TOP loss, different apparent scopes
    Ref
    S26-P0064 (L49)
    Source excerpt
    lost 3.5 million here. Well I guess maybe 3 million

Losses and survival / Psychology and decisions

BMR loss included outside money and negative balances

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | B: Reported experience

Attribution: highunverified reported experience

The reported $5m BMR loss combined personal and friends accounts, with some accounts going below zero. Date is corrected to February 2024. It is not exclusively a personal realized loss from one displayed account.

ELI5: The huge loss affected his own money and other people money.

S26-P0064 (L49) S26-P0065 (L49) S26-P0068 (L49) S26-P0108 (L49)

Numbers

  • Value
    $5 million
    Context
    Combined own and friends money
    Ref
    S26-P0064 (L49)
    Source excerpt
    lost a total of $5 million

Losses and survival / Evidence and limitations

Remove wealth from the trading blast radius

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

After those losses he withdrew money, used smaller trading accounts and diversified into safer investments. His earlier desire to get rich quickly had left too much net worth exposed.

ELI5: He moved some wealth out of accounts used for risky trades.

S26-P0065 (L49) S26-P0066 (L49) S26-P0067 (L49)

Sizing and exposure / Losses and survival

A stated max loss is qualified by partial-cover discretion

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

He says the new loss maximum is $200k and reports recent CYN/ASST hits. Later, in STI, he says he would have to cover but might cover only part because of conviction. The text does not establish per-account/per-trade scope or an automated hard stop, and protection against million-dollar loss is aspirational.

ELI5: A loss limit is unclear if he may leave part of the losing trade open.

S26-P0065 (L49) S26-P0069 (L49) S26-P0093 (L49) S26-P0096 (L49)

Exceptions

  • P 96 permits possible partial cover at the limit.
  • Gaps/halts can defeat an intended loss threshold.

Numbers

  • Value
    $200,000
    Context
    Stated maximum loss, scope unspecified
    Ref
    S26-P0065 (L49)
    Source excerpt
    stop loss of $200,000

Losses and survival

Higher price can make a short worse rather than better

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

A stock shortable near $5 can become dangerous near $10 if reflexive covering takes over. Intrinsic overvaluation is not enough: squeeze mechanics can overwhelm valuation and raise near-term risk as price rises.

ELI5: A higher price can mean more danger, not a better bargain for a short seller.

S26-P0068 (L49) S26-P0069 (L49) S26-P0070 (L49) S26-P0071 (L49)

Numbers

  • Value
    $5 versus $10
    Context
    Illustrative changing short quality
    Ref
    S26-P0068 (L49)
    Source excerpt
    good short at five bucks, but it's a bad short at 10 bucks

Entries and execution

RSLS filing changed management after an already-open short

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | B: Reported experience

Attribution: highunverified reported experience

He shorted a prior-day runner next morning around $3, then read shareholder approval in an 8-K and delayed covering until below $1. He admits favorable timing was partly luck; the filing was not the original entry signal.

ELI5: New information made him hold an existing trade longer.

S26-P0072 (L49) S26-P0073 (L49) S26-P0074 (L49) S26-P0075 (L49)

Numbers

  • Value
    14 million shares
    Context
    Guest cashless-warrant supply claim
    Ref
    S26-P0073 (L49)
    Source excerpt
    sell 14 million shares
  • Value
    around $3 to below $1
    Context
    Reported short/cover levels
    Ref
    S26-P0075 (L49)
    Source excerpt
    shorted around three bucks

Concrete examples

Do not flatten cashless-warrant claims into verified supply

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

He describes RSLS warrants as shares acquired for zero and immediately sellable after approval. Those are his explanatory claims; actual exercise formula, registration and holder restrictions are not provided in the transcript.

ELI5: The interview does not prove exactly when all new shares could be sold.

S26-P0072 (L49) S26-P0073 (L49) S26-P0074 (L49)

Evidence and limitations

Top gainers initiate a why-now investigation

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

He reviews top gainers, catalysts and possible long or short direction. No-news movement is a reason to investigate or avoid, not an automatic short. Finding the correct phase matters more than disliking a company.

ELI5: A big rise is the start of research, not an automatic trade.

S26-P0075 (L49) S26-P0076 (L49) S26-P0077 (L49) S26-P0107 (L49)

Strategy and regime / Entries and execution

Front-side long then backside short is an aspiration

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

He occasionally goes long and wants to improve buying the front side then flipping after the top. He expressly says he is learning this; no top-detection rule supports a turnkey reversal system.

ELI5: Buying the rise and selling the fall is something he still wants to improve.

S26-P0077 (L49) S26-P0078 (L49) S26-P0107 (L49)

Learning and review / Evidence and limitations

Meditation is an emotional inventory

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

He usually meditates ten minutes before trading to notice anger or emotions from prior trades and life events, rather than trying to stop all thought. No numerical outcome improvement is established.

ELI5: He checks his emotional state before trading.

S26-P0078 (L49) S26-P0079 (L49)

Numbers

  • Value
    10 minutes
    Context
    Before trading
    Ref
    S26-P0078 (L49)
    Source excerpt
    meditate 10 minutes

Psychology and decisions / Learning and review

Hotkeys reduce size-entry friction but encode large orders

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

He uses shared DAS-style hotkeys across brokers including Cobra and CenterPoint: numbered keys in 5,000-share blocks and zero for 50,000. These are his operational sizes, not recommended risk units or equity percentages.

ELI5: One key can send a large order, so the size behind it matters.

S26-P0081 (L49) S26-P0082 (L49)

Numbers

  • Value
    5,000 shares
    Context
    Usual blocks
    Ref
    S26-P0081 (L49)
    Source excerpt
    blocks of 5,000
  • Value
    50,000 shares
    Context
    Zero key
    Ref
    S26-P0081 (L49)
    Source excerpt
    a zero is 50,000

Entries and execution / Testing and automation

Routes and order distribution address execution cost and impact

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

He cites Arca, captioned RB25L and T-WL routes, position-size hotkey and time-distributed equal orders for large exits. Limit orders and rebates reduce his fees. Exact broker route codes are not independently validated and fill opportunity cost remains unstated.

ELI5: He spreads large orders over time and tries to reduce trading costs.

S26-P0082 (L49) S26-P0083 (L49) S26-P0084 (L49) S26-P0085 (L49)

Entries and execution

Read PR commitment and economic substance

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

In the STI example, a nonbinding LOI, modest additional deal value and a later addressable-market statement looked weak to him. A market opportunity is not contracted revenue; alleged paid promotion is his report, not independently established.

ELI5: An announcement about possible sales is not the same as money earned.

S26-P0086 (L49) S26-P0087 (L49) S26-P0088 (L49) S26-P0089 (L49) S26-P0090 (L49) S26-P0091 (L49)

Numbers

  • Value
    over $1m
    Context
    Additional PR value he considered small
    Ref
    S26-P0089 (L49)
    Source excerpt
    exceeds $1 million
  • Value
    $100m
    Context
    Addressable market, not sale
    Ref
    S26-P0090 (L49)
    Source excerpt
    potential $100 million market opportunity

Strategy and regime

The STI sequence moved across three sessions and several days

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | B: Reported experience

Attribution: highunverified reported experience

He shorted and covered after-hours on July 28, repeated premarket next day, then reentered into back-to-back PRs before the open. He later held part through August 5. The caption spells prices ambiguously (a $110/a $150), so inferred $1.10/$1.50 should not be treated as exact certified fills.

ELI5: This example involved several entries and days, not one easy trade.

S26-P0085 (L49) S26-P0086 (L49) S26-P0089 (L49) S26-P0090 (L49) S26-P0092 (L49) S26-P0093 (L49) S26-P0097 (L49)

Concrete examples

Conviction and averaging produced a large adverse excursion

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | B: Reported experience

Attribution: highunverified reported experience

STI rose after his entry and he added higher until max size, reporting over $100k unrealized loss but below his $200k threshold. Most eventual profit came from the multi-day short swing, not effortless entry accuracy.

ELI5: He added while losing and endured a large temporary loss.

S26-P0092 (L49) S26-P0093 (L49) S26-P0095 (L49) S26-P0096 (L49) S26-P0097 (L49)

Numbers

  • Value
    over $100,000
    Context
    Adverse excursion
    Ref
    S26-P0093 (L49)
    Source excerpt
    down over 100,000

Losses and survival / Concrete examples

Financial weakness plus potential supply informed the STI thesis

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

He cites zero September-quarter revenue,$365k March revenue,$2-3m quarterly losses,$28m debt and conversion to shares. Reported 319m shares traded July 29 was potential exit liquidity for holders. This is his reading, not an audited issuer analysis here.

ELI5: Weak finances and possible new sellers supported his short idea.

S26-P0094 (L49) S26-P0095 (L49)

Numbers

  • Value
    $365,000
    Context
    Reported March-quarter revenue
    Ref
    S26-P0094 (L49)
    Source excerpt
    365,000 on March 31st
  • Value
    $28m
    Context
    Debt claim
    Ref
    S26-P0095 (L49)
    Source excerpt
    debt 28 million
  • Value
    319m shares
    Context
    Reported July 29 volume
    Ref
    S26-P0095 (L49)
    Source excerpt
    319 million shares traded

Strategy and regime

Combine sentiment, filings, financials and prior news

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

Hot buttons link Stocktwits and Yahoo Finance; he also uses DilutionTracker, Finviz history, Twitter and News Edge. He sees multiple information types as complementary rather than letting one chart rule dominate.

ELI5: He checks several kinds of evidence before deciding.

S26-P0086 (L49) S26-P0094 (L49) S26-P0099 (L49) S26-P0110 (L49) S26-P0111 (L49) S26-P0114 (L49)

Testing and automation

Scheme labels describe his suspicions, not proven misconduct

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highguest causal theory and hearsay

He attributes TOP-type squeezes to coordinated float ownership and repeats hearsay that after-hours covering drove much of TOP. Price rising without apparent news cannot establish manipulation or identify perpetrators.

ELI5: Calling a move suspicious does not prove anyone manipulated it.

S26-P0062 (L49) S26-P0063 (L49) S26-P0100 (L49) S26-P0101 (L49) S26-P0102 (L49) S26-P0103 (L49) S26-P0105 (L49) S26-P0106 (L49)

Evidence and limitations

Ownership composition is his squeeze-avoidance heuristic

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

He examines warrant holders and whether outside large holders could sell into a rise. Familiar high-turnover financiers are, in his view, more likely to sell than coordinate a squeeze; obscure holders raise concern. The categorical named-fund assurance is not a verified safe list.

ELI5: He studies who could sell, but that does not create a guaranteed safe list.

S26-P0103 (L49) S26-P0104 (L49) S26-P0105 (L49) S26-P0106 (L49)

Exceptions

  • He explicitly distinguishes a host-named investment bank from a fund and says he needs more research.

Strategy and regime

Avoid uncertain squeeze candidates instead of proving the thesis

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

He says too many opportunities exist to short something that might be a scheme. Yet he sometimes longs such situations and recognizes abrupt dumping risk. RSLS, which he called a scheme, also shows terminology/avoidance is not consistent across examples.

ELI5: He would rather skip a doubtful situation than prove he is right.

S26-P0072 (L49) S26-P0107 (L49)

Strategy and regime

An old weak catalyst can matter in a new hot theme

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

BMR previously mentioning Nvidia without reaction increased his short confidence, but the later Nvidia theme overwhelmed that precedent. Broad attention and shorts covering can matter more than new economic substance.

ELI5: The same headline can provoke a much bigger reaction in a different market.

S26-P0107 (L49) S26-P0108 (L49) S26-P0109 (L49)

Strategy and regime

Technicals supply timing within a fundamental thesis

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

He weights chart, volume, time of day and regular versus extended sessions at least as heavily as fundamentals. He also uses resistance to short and support to cover, but provides no deterministic trigger or universal percentage stop.

ELI5: Knowing a company is weak does not tell him when to trade it.

S26-P0110 (L49) S26-P0111 (L49) S26-P0112 (L49) S26-P0113 (L49) S26-P0114 (L49)

Entries and execution

Discretion includes exiting early and reentering

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

Against the host conviction-only framing, he says he sometimes cuts quickly, citing captioned MXT, then seeks a higher reentry when liquidity and size allow. Discretion is not simply holding all adverse positions to the maximum.

ELI5: He sometimes exits early and tries again at a better price.

S26-P0115 (L49) S26-P0116 (L49) S26-P0117 (L49)

Entries and execution / Losses and survival

Smaller blowups are still part of the admitted record

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

He corrects host praise by acknowledging prior blowups and later says they persist at a lesser level. Ten wins erased by one loss is an illustration of tail dependence; the host 99%-go-to-zero claim is unsupported, not a measured market statistic.

ELI5: His changes reduced the size of bad losses but did not remove them.

S26-P0098 (L49) S26-P0118 (L49) S26-P0119 (L49) S26-P0120 (L49)

Losses and survival

Limit-price escape problems also affect longs

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

He describes long positions continuing lower while his desired sell price never fills, forcing progressively lower asks. This qualifies any assumption that limit orders are automatically safer because fees are lower.

ELI5: An order at your chosen price may never let you out.

S26-P0120 (L49) S26-P0121 (L49)

Entries and execution

Scale after sustained evidence, not the wealth story

S26 | Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research) | A: Explicit statement

Attribution: highexplicit process description

He recommends active verified mentors, small initial size and several profitable months before increasing size. He says his own learning took at least five years and warns a new trader against losses forcing a home mortgage; the student career-switch anecdote is not replicated success evidence.

ELI5: He wants months of good results before a beginner risks more.

S26-P0123 (L49) S26-P0124 (L49) S26-P0125 (L49) S26-P0126 (L49)

Numbers

  • Value
    at least five years
    Context
    Own learning period
    Ref
    S26-P0124 (L49)
    Source excerpt
    at least you know five years

Sizing and exposure / Learning and review

Near $800k is not the verified $558k record

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | E: Unclear or conflicting

Attribution: highdifferent record scopes and caption ambiguity

Host states $558k verified and almost $100k in three months. Guest cannot retrieve or verify early prop trades. He says 700euros initial capital; title rounds to $1k and host utters a garbled $1.8m phrase. These should not be merged into one audited compounded return.

ELI5: The tracked results cover less than his whole claimed career.

S27-P0001 (L1) S27-P0013 (L16) S27-P0043 (L54) S27-P0044 (L54) S27-P0058 (L54) S27-P0060 (L54)

Numbers

  • Value
    $558,000
    Context
    Host verified scope
    Ref
    S27-P0044 (L54)
    Source excerpt
    558,000
  • Value
    700 euros
    Context
    Guest starting amount
    Ref
    S27-P0058 (L54)
    Source excerpt
    700 euros
  • Value
    nearly $800,000
    Context
    Guest total claim
    Ref
    S27-P0058 (L54)
    Source excerpt
    800,000

Evidence and limitations

More screen time alone did not fix early losses

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | B: Reported experience

Attribution: highunverified reported experience

A 2018 CFD account failed in roughly two months, then large-cap breakout day trading failed for 1.5 years. He had expected full-time attention to solve the earlier problem; paid Barcelona training exposed him to actual traders.

ELI5: Watching longer did not automatically make his method work.

S27-P0046 (L54) S27-P0047 (L54) S27-P0048 (L54)

Numbers

  • Value
    2 months
    Context
    Initial loss period
    Ref
    S27-P0047 (L54)
    Source excerpt
    2 months
  • Value
    1.5 years
    Context
    Large-cap breakout struggle
    Ref
    S27-P0048 (L54)
    Source excerpt
    year and a half

Development / Learning and review

Academic value was discipline rather than trading curriculum

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

Economics did not teach his stock-market method. Online self-scheduling, engineering logic, failed exams and repetition built problem-solving and resilience; family pressure made results versus employment a concrete decision.

ELI5: School taught him discipline more than trading tactics.

S27-P0049 (L54) S27-P0050 (L54) S27-P0051 (L54) S27-P0052 (L54) S27-P0053 (L54)

Development / Psychology and decisions

COVID liquidity disguised an incomplete method

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

The prop desk shorted front-side volume without evaluating float, news or dilution. Large intraminute oscillations let them repeatedly cover and reload; everyone making money discouraged questioning.

ELI5: An unusually active market made a weakly understood method look good.

S27-P0053 (L54) S27-P0054 (L54) S27-P0055 (L54) S27-P0057 (L54) S27-P0058 (L54)

Strategy and regime / Learning and review

The same recycling became martingale-like when bounces vanished

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

He links 2022 lower volume to smaller or absent pullbacks. Adding higher without a cover opportunity then concentrated risk. The lesson is conditional liquidity dependence, not that repetitive execution always works.

ELI5: Repeated adding becomes dangerous when the expected bounce never arrives.

S27-P0055 (L54) S27-P0056 (L54)

Entries and execution / Losses and survival

Edu supplied directional context to recycling

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

He credits Edu Trades with recognizing crowded shorts and switching long when they were trapped. The change was from insisting on a fade to understanding which participants might be forced to exit.

ELI5: His mentor taught him to notice who might be forced to exit.

S27-P0059 (L54) S27-P0061 (L54) S27-P0064 (L54) S27-P0065 (L54)

Development

VWAP is a directional preference within context

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

High volume above VWAP favors longs; below favors shorts. Good news and absence of overhead holders improve long appeal. It is not an unconditional crossover system, and the 2024 hot market differed from 2025/26.

ELI5: The average-price line helps guide direction, but is not a complete signal.

S27-P0061 (L54) S27-P0062 (L54) S27-P0063 (L54) S27-P0071 (L54)

Strategy and regime

Failed good-news longs can create short opportunities

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

A stock with a good catalyst that cannot bounce and falls below VWAP leaves longs trapped. He waits for their bounce selling to short, rather than remaining attached to what the news should have done.

ELI5: Buyers disappointed by a failed rise may sell the next bounce.

S27-P0063 (L54) S27-P0064 (L54) S27-P0077 (L54) S27-P0078 (L54)

Strategy and regime

Crowded shorts can make higher highs more dangerous to fade

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

When easy-shorting conditions attract many sellers, a breakout that refuses to drop may force covering. The host recalls a VWAP squeeze long despite extension; this is contextual pressure, not a rule to buy every rising price.

ELI5: Trapped short sellers can push a rising stock even higher when they buy back.

S27-P0065 (L54) S27-P0066 (L54) S27-P0067 (L54) S27-P0068 (L54) S27-P0069 (L54) S27-P0070 (L54)

Strategy and regime

Macro affects his opportunity flow indirectly

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

He trades small caps rather than macro instruments, but uncertainty can reduce risk appetite and leave fewer tickers crowded with the same traders. The claimed 80%-red tendency is not supported by a sample in the interview.

ELI5: Fewer opportunities can crowd many traders into the same stock.

S27-P0067 (L54) S27-P0068 (L54) S27-P0069 (L54)

Evidence and limitations

The volume premise must invalidate a low-demand short

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

In a captioned AHMA example up about 120% without news, low volume and recent market norms supported a short thesis. If volume arrives, the premise fails: stop shorting and perhaps consider a long. Country label alone is not a trading trigger.

ELI5: If new buying appears, a short based on weak demand needs rethinking.

S27-P0071 (L54) S27-P0072 (L54) S27-P0073 (L54)

Numbers

  • Value
    about120%
    Context
    Example extension, not universal threshold
    Ref
    S27-P0071 (L54)
    Source excerpt
    120% up

Testing and automation

Think about being wrong before the final VWAP break

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

He watches for signs against his thesis before price reaches the final reference. Tape/level-two framing comes from host and guest agreement, but no quantitative order-flow signal is specified.

ELI5: He looks for warning signs before the final exit level is reached.

S27-P0074 (L54) S27-P0075 (L54) S27-P0076 (L54)

Entries and execution / Losses and survival

No timely bounce is an early warning

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

After buying a dip, no bounce in perhaps five minutes can mean selling pressure. He may cut early; VWAP is the fuller invalidation in the described long. Five minutes is tentative, not a universal timer.

ELI5: A dip that fails to bounce soon can be a reason to leave.

S27-P0077 (L54)

Numbers

  • Value
    perhaps5 minutes
    Context
    Illustrative no-bounce warning
    Ref
    S27-P0077 (L54)
    Source excerpt
    no bounce in 5 minutes maybe

Exits and adjustments

Changing bias does not mean chasing the opposite extreme

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

After a failed long, he waits for a bounce before shorting to avoid the worst entry. He then judges that bounce strength; flat is possible while waiting for evidence, reducing indiscriminate long-short whipsaw.

ELI5: Changing his mind does not mean immediately chasing the opposite trade.

S27-P0076 (L54) S27-P0077 (L54) S27-P0078 (L54) S27-P0079 (L54)

Entries and execution / Evidence and limitations

Historical holders matter more to him than dilution research

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

He says dilution is not his expertise and felt random when studied. He prefers locating past buying zones where trapped holders may sell on return. The host platform-data complaints and named-financier anecdotes are not Xavi diligence rules.

ELI5: He prefers knowing where old buyers may want to sell.

S27-P0080 (L54) S27-P0081 (L54) S27-P0082 (L54) S27-P0083 (L54)

Strategy and regime

The simple explanation omits tacit execution knowledge

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

He explicitly says practice, fast connection of ideas and memory of earlier stock behavior do not fit the podcast/playbook. Streaming examples is his way to teach that gap; automation cannot assume the verbal outline is complete.

ELI5: The short explanation leaves out much of the skill gained through practice.

S27-P0083 (L54) S27-P0084 (L54) S27-P0085 (L54)

Learning and review / Evidence and limitations

Lower opportunity led to more scalping and less holding

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

He expected oil excitement might fade but did not blindly short all oil names. Capital shifting toward assets he does not trade reduced his opportunity set, so he held less and avoided an obvious crowded short that would not drop.

ELI5: With fewer opportunities he takes quicker trades and holds less.

S27-P0086 (L54) S27-P0087 (L54) S27-P0088 (L54) S27-P0089 (L54)

Strategy and regime

News-pending halts exposed uncontrollable event risk

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | B: Reported experience

Attribution: highunverified reported experience

He describes nervousness when a short was halted pending news, with the eventual news luckily favorable to his side, then another similar halt next day. This is experienced luck, not evidence that halts are safely predictable.

ELI5: A trading halt can leave him waiting for news he cannot control.

S27-P0089 (L54) S27-P0090 (L54)

Losses and survival

Community transparency can motivate size but is not a sizing formula

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

His group streams trades and reviews students with experienced traders. Seeing peer P&L encouraged ambition at the old desk; that social comparison must not be confused with evidence that weekly increases are appropriate.

ELI5: Other people results can motivate him, but do not set a safe bet size.

S27-P0090 (L54) S27-P0091 (L54) S27-P0092 (L54)

Learning and review

Calm was learned through repeated frustration

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

Missed fills still upset him. Experience taught acceptance of losses and trading the position rather than the money; he credits repeated exposure rather than a specific psychology book.

ELI5: Experience helped him handle losses, although missed trades still frustrate him.

S27-P0093 (L54) S27-P0094 (L54) S27-P0095 (L54)

Entries and execution / Psychology and decisions

Host sobriety story is a distinct personal anecdote

S27 | Stephen Johnson | B: Reported experience

Attribution: highunverified reported experience

Stephen describes his own $600-to $100k run, inability to cut losses, six-month break and stopping alcohol, followed by fewer bad losses. It is not Xavi biography or a tested causal intervention.

ELI5: The story about stopping alcohol belongs to the host.

S27-P0095 (L54) S27-P0096 (L54) S27-P0097 (L54)

Psychology and decisions

Raising a maximum defeated the prop risk control

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | B: Reported experience

Attribution: highunverified reported experience

Xavi says his second/third largest losses reflected discipline failure. A desk loss mechanism allowed roughly one minute before liquidation, but he asked the manager to increase his limit twice during a Trump-linked stock episode and lost $44-45k across two days, about 25% of accumulated profits.

ELI5: A maximum loss does not protect him if he keeps raising it.

S27-P0097 (L54) S27-P0098 (L54) S27-P0099 (L54)

Numbers

  • Value
    $44-45k
    Context
    Two-day loss
    Ref
    S27-P0098 (L54)
    Source excerpt
    44 or 45 thousand dollars
  • Value
    25%
    Context
    Share of profits, not stated account equity
    Ref
    S27-P0098 (L54)
    Source excerpt
    25% of my

Losses and survival

ADTX recovery was bad behavior receiving good feedback

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | B: Reported experience

Attribution: highunverified reported experience

He shorted around $20, intended $30 stop, ignored it as price rose to $70-75 through halts, then was partly rescued by a drop toward $40. Claimed 80% reduction in loss is approximate and not reconcilable without fills; he treats it as a mistake not a winning technique.

ELI5: A lucky recovery can reward a decision that was still wrong.

S27-P0100 (L54) S27-P0101 (L54)

Numbers

  • Value
    $20 / $30
    Context
    Entry and intended stop
    Ref
    S27-P0100 (L54)
    Source excerpt
    stock was at 20
  • Value
    $70-75
    Context
    Reported adverse price
    Ref
    S27-P0101 (L54)
    Source excerpt
    70 or 75

Losses and survival / Evidence and limitations

Celebrate a valid stop even if the market later recovers

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

Host rejects regretting a proper loss cut; Xavi reinforces this with students and credits Edu for teaching acceptance. The relevant quality measure is decision discipline, not whether the next move would have saved the trade.

ELI5: A sensible exit can be correct even when price later recovers.

S27-P0102 (L54) S27-P0103 (L54) S27-P0104 (L54)

Psychology and decisions

First-red-day bias can coexist with a small long probe

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | B: Reported experience

Attribution: highunverified reported experience

In an unidentified stock extended roughly $2 to $10, he initially bought strength, exited a failed dip and then shorted bounces when longs appeared trapped. The initial loss was about 10% of his max-loss allowance, not 10% of account equity.

ELI5: He can test a small long before switching to the larger downside idea.

S27-P0104 (L54) S27-P0105 (L54) S27-P0106 (L54) S27-P0107 (L54) S27-P0108 (L54) S27-P0109 (L54)

Numbers

  • Value
    10% of max loss
    Context
    Small losing probe denominator
    Ref
    S27-P0107 (L54)
    Source excerpt
    10% of the of my my max loss

Sizing and exposure / Concrete examples

Trail invalidation as the structure changes

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

He risks levels and trend changes; after a drop it makes no sense to retain an unnecessarily distant high stop. Breakdown zones can define renewed short entries and warning levels, but visual here/there references prevent exact reconstruction.

ELI5: As a trade moves his way, he moves the exit level closer.

S27-P0110 (L54) S27-P0111 (L54) S27-P0112 (L54)

Exits and adjustments

Front side is timeframe-dependent

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

A short can be front-side on a one-minute bounce while aligned with a daily downtrend. He accepts trend-following as a partial description but also uses contrarian trades, so a single style label loses context.

ELI5: A short bounce can happen inside a much longer decline.

S27-P0112 (L54) S27-P0113 (L54)

Strategy and regime

AMBN illustrates waiting rather than forcing the long leg

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | B: Reported experience

Attribution: highunverified reported experience

A captioned AMBN move from roughly 50c to $7 created first-red-day interest. He acknowledges he could have bought earlier dips but felt uncomfortable at extension and waited for backside bounce shorts.

ELI5: He can skip the upward move and wait for the later decline.

S27-P0113 (L54) S27-P0114 (L54) S27-P0115 (L54)

Numbers

  • Value
    $0.50 to about $7
    Context
    Captioned AMBN extension
    Ref
    S27-P0113 (L54)
    Source excerpt
    50 cents and it's trading like seven

Concrete examples

Campaign win rate can exceed directional thesis accuracy

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

Repeated large bounces/drops can fund a later stop: if consolidation does not break down he may close half, then stop the rest while earlier profits keep the campaign positive. Host 7-10% bounce descriptions are illustrations, not required thresholds.

ELI5: Several small profits can outweigh a later loss even when his main prediction fails.

S27-P0115 (L54) S27-P0116 (L54) S27-P0117 (L54)

Numbers

  • Value
    half position
    Context
    Reduction when consolidation fails to drop
    Ref
    S27-P0116 (L54)
    Source excerpt
    close half of my position

Evidence and limitations

Recycling depends on available volatility and hard boundaries

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

He needs hotkeys, known important levels and enough two-way volatility for reentries/exits. Premarket high is one illustrative hard stop for a short, plus intermediate warning levels. A one-way move without recycle opportunity is the explicit failure case.

ELI5: Repeated entries need enough back-and-forth movement and a firm escape point.

S27-P0108 (L54) S27-P0117 (L54) S27-P0118 (L54)

Entries and execution / Losses and survival

Start small until both edge and equity behavior are credible

S27 | Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier) | A: Explicit statement

Attribution: highexplicit process description

His final advice emphasizes resilience after almost three difficult years and learning from transparent traders. He corrects an equity-curve verbal slip from down to up; it is not advice to size into worsening performance.

ELI5: Learn with little money before increasing the amount at risk.

S27-P0121 (L54) S27-P0122 (L54)

Sizing and exposure / Learning and review

Weekly target is not a verified weekly return distribution

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | E: Unclear or conflicting

Attribution: highscope/observation-time ambiguity

He aims for 1% a week. Description says $1.7m broker-verified, intro $1.3m, ending host guesses $1.4-1.6m; speech also shifts between account size and profit. No starting equity, deposits, time-weighted return or weekly loss distribution is supplied.

ELI5: A weekly goal is not proof that every week earns that amount.

S28-P0013 (L15) S28-P0039 (L49) S28-P0040 (L49) S28-P0041 (L49) S28-P0115 (L49)

Numbers

  • Value
    1% weekly
    Context
    Target
    Ref
    S28-P0040 (L49)
    Source excerpt
    aims to make 1% a week
  • Value
    $1.7m
    Context
    Description claim
    Ref
    S28-P0013 (L15)
    Source excerpt
    $1.7M
  • Value
    $1.3m
    Context
    Intro account wording
    Ref
    S28-P0040 (L49)
    Source excerpt
    1.3 million

Evidence and limitations

Casino rhetoric does not establish positive expectancy

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He contrasts selling with speculative buying and cites about 85% win rate. His 999-of 1000 rhetoric is explicitly softened; neither counterparties losing nor high win frequency establishes net profitability after unequal losses, fees and stock exposure.

ELI5: Winning often does not help if the occasional loss is too large.

S28-P0042 (L49) S28-P0043 (L49) S28-P0045 (L49)

Numbers

  • Value
    85%
    Context
    Self-reported year-to-date win rate
    Ref
    S28-P0043 (L49)
    Source excerpt
    85% win rate

Strategy and regime

Sell short maturity and usually hold toward expiry

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He generally sells current/next-week options, often Monday for Friday, looking for time decay; often lets them expire or buys back for a penny. The wording about appreciation is from the short-position perspective, and no universal theta-only price path is implied.

ELI5: He sells contracts with little time left and often waits for them to expire.

S28-P0043 (L49) S28-P0044 (L49) S28-P0045 (L49)

Numbers

  • Value
    $0.01
    Context
    Typical tiny buyback example
    Ref
    S28-P0045 (L49)
    Source excerpt
    buy them back for like a penny

Entries and execution

Selection is not a mechanical weekly sale

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He stresses macro developments, rates, global events, sound growing companies and technical condition. His initial falling-knife avoidance is later qualified by explicit long-term accumulation exceptions.

ELI5: He chooses the company and conditions before selling a contract.

S28-P0045 (L49) S28-P0046 (L49) S28-P0047 (L49) S28-P0097 (L49) S28-P0098 (L49) S28-P0099 (L49) S28-P0100 (L49) S28-P0101 (L49)

Strategy and regime

Bull market and capital growth also explain acceleration

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He credits the snowball of a larger account and bull run, not only improved signals. Prior win rate is approximate 65-70%, recent 85-87%; October/November drawdown motivated indicator building.

ELI5: More capital and a rising market helped his dollar gains grow.

S28-P0047 (L49) S28-P0048 (L49) S28-P0049 (L49) S28-P0050 (L49)

Numbers

  • Value
    65-70% then85-87%
    Context
    Approximate win-rate recollection
    Ref
    S28-P0048 (L49)
    Source excerpt
    closer to 85. It is creeping up towards like 87

Strategy and regime / Evidence and limitations

Weekly timeframe is his compromise between noise and lag

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

Sunday chart work emphasizes weekly bars, with daily viewed as noisy and monthly slower. He still uses daily/monthly in specific examples, so weekly preference is not exclusive.

ELI5: Weekly charts help him ignore small moves without waiting a whole month.

S28-P0051 (L49) S28-P0063 (L49) S28-P0074 (L49) S28-P0078 (L49) S28-P0080 (L49)

Learning and review

Star counts guide conviction but their construction is private

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

Blue means bullish, purple bearish; one begins attention and three reinforce direction. Gold/gray regime candles and three additional indicators combine signals. They are invite-only and no formulas, source data or repainting behavior are disclosed.

ELI5: The colored signals are explained, but the recipe that makes them is private.

S28-P0050 (L49) S28-P0051 (L49) S28-P0052 (L49) S28-P0055 (L49)

Numbers

  • Value
    one versus three
    Context
    Signal reinforcement
    Ref
    S28-P0052 (L49)
    Source excerpt
    when I get one, that that's kind of the indication, but when I when I get three

Evidence and limitations

Bitcoin momentum led to aggressive equity-proxy put exposure

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | B: Reported experience

Attribution: highunverified reported experience

He describes exiting on August 25 bearish stars and becoming bullish April 6, then selling large in-the-money cash-secured puts on MSTR/Coinbase. Bitcoin 200-week moving average is potential support, not a guaranteed bottom.

ELI5: He used Bitcoin strength to sell puts on related stocks.

S28-P0052 (L49) S28-P0053 (L49) S28-P0054 (L49)

Numbers

  • Value
    200-week MA
    Context
    Bitcoin potential support
    Ref
    S28-P0054 (L49)
    Source excerpt
    200 weekly moving average

Concrete examples

Whale-versus-retail lines are indicator labels, not audited identities

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He interprets gold and white lines as institutional/retail accumulation and wants a crossover. Without construction/data, this cannot establish who traded. Host praise and subsequent Adobe institutional-exit claims rely on the same opaque proxy.

ELI5: A line labeled big money does not prove who bought the shares.

S28-P0054 (L49) S28-P0055 (L49) S28-P0057 (L49) S28-P0058 (L49) S28-P0081 (L49)

Evidence and limitations

HIMS example is retrospective signal evidence

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | B: Reported experience

Attribution: highunverified reported experience

He says bearish July signals could avoid a fall from about $50 and a later buy signal appeared just below $19. This illustrates the claimed tool behavior but no complete signal history, failures or audited exits is supplied.

ELI5: One successful old example does not show how every signal performed.

S28-P0055 (L49) S28-P0056 (L49) S28-P0057 (L49)

Numbers

  • Value
    $50 and under$19
    Context
    HIMS cited signal levels
    Ref
    S28-P0056 (L49)
    Source excerpt
    50 a share
  • Value
    under$19
    Context
    HIMS cited buy signal
    Ref
    S28-P0056 (L49)
    Source excerpt
    just under 19

Evidence and limitations / Concrete examples

Catch the middle rather than require exact extremes

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He prefers momentum persistence over trying to buy bottom/sell top. His physics analogy is intuition, not a market law. Later fear-based accumulation is a different discretionary mode.

ELI5: He wants a useful part of a trend, not its exact beginning and end.

S28-P0058 (L49) S28-P0059 (L49) S28-P0106 (L49) S28-P0107 (L49)

Psychology and decisions

MARA and ASTS use different technical references

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | B: Reported experience

Attribution: highunverified reported experience

MARA is described as an early March 9 crypto-related signal near $8, later near $14. ASTS uses its 200-day average and prior two-year behavior, buying around the 70s and adding after signals. Do not replace the daily ASTS level with his usual weekly average.

ELI5: The same number of bars can mean very different lengths of time.

S28-P0061 (L49) S28-P0062 (L49) S28-P0063 (L49) S28-P0064 (L49)

Numbers

  • Value
    200-day MA
    Context
    ASTS support example
    Ref
    S28-P0063 (L49)
    Source excerpt
    200 daily moving average
  • Value
    $8 to near$14
    Context
    MARA observed move
    Ref
    S28-P0062 (L49)
    Source excerpt
    back at $8

Concrete examples

The wheel carries equity ownership and capped-upside mechanics

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He describes selling cash-secured puts on acceptable companies, potential assignment at strike, covered calls on owned shares and return to cash if called away. This process is more aggressive in his implementation and is not a guarantee of preserving capital.

ELI5: He may have to buy shares, then agree to sell them at a set price.

S28-P0064 (L49) S28-P0065 (L49) S28-P0066 (L49)

Exits and adjustments

Premium optimization accepts foregone upside

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

His example buys shares at $100 and sells a $100 call for $3, accepting call-away rather than regret a rally to $120. The 3% is premium relative to share price, not assured total return if shares decline.

ELI5: He accepts missing extra upside in exchange for the contract payment.

S28-P0067 (L49) S28-P0068 (L49) S28-P0069 (L49)

Numbers

  • Value
    $100 stock/$100 call/$3 premium
    Context
    Illustration not actual fill
    Ref
    S28-P0068 (L49)
    Source excerpt
    buy the stock for 100, sell a covered call for 100. I get $3 in premium

Psychology and decisions

Not worrying about share movement is economically incomplete

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | C: Analyst inference

Attribution: highanalyst inference from stated structures

He says his focus is premium rather than whether shares rise/fall, but assigned/covered equity still loses with the underlying. This is an analyst qualification of his framing, supported by his own 40% EOS drop caution and assignment examples.

ELI5: The fee collected does not erase a loss in the shares he owns.

S28-P0067 (L49) S28-P0068 (L49) S28-P0090 (L49) S28-P0100 (L49) S28-P0101 (L49)

Losses and survival / Evidence and limitations

Growth and profitability are preferences with inconsistent thresholds

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He initially likes about 20% annual growth and profitable names; later says 30% plus and is not focused on PE. ASTS sentiment/growth and OPEN expected future profitability show these are not strict universal filters.

ELI5: His growth preferences change across the conversation and have exceptions.

S28-P0069 (L49) S28-P0070 (L49) S28-P0071 (L49) S28-P0101 (L49) S28-P0110 (L49) S28-P0111 (L49)

Numbers

  • Value
    20%
    Context
    Earlier growth preference
    Ref
    S28-P0070 (L49)
    Source excerpt
    20% a year
  • Value
    30%+
    Context
    Later growth preference
    Ref
    S28-P0111 (L49)
    Source excerpt
    30% plus a year

Strategy and regime

Sentiment and medium-cap preference qualify valuation discipline

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He cites Tesla/ASTS fan communities as dip demand and prefers medium caps for upside. Claims that quants do not trade small/medium caps and that these are unlikely to go to zero are unsupported generalizations, not risk guarantees.

ELI5: Popular companies can attract buyers, but popularity does not remove risk.

S28-P0070 (L49) S28-P0071 (L49) S28-P0072 (L49) S28-P0073 (L49)

Evidence and limitations

Sunday index review frames sector and stock decisions

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He begins with SPY and other indexes, mainly weekly, noting bullish trend but caution at all-time highs. This top-down check precedes individual options; it is not random high-premium selection.

ELI5: He checks the wider market before choosing individual trades.

S28-P0074 (L49) S28-P0075 (L49) S28-P0076 (L49)

Strategy and regime

IGV reduces the need to pick a single software survivor

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

After a downtrend near 200-week average and bullish stars, he builds put exposure to IGV rather than decide which of many software companies survives AI disruption. Holdings named in speech are not an independently verified current fund inventory.

ELI5: A sector fund spreads the bet across several companies.

S28-P0075 (L49) S28-P0076 (L49) S28-P0077 (L49) S28-P0083 (L49)

Concrete examples

Adobe shows discretionary rejection of bullish signals

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He avoided Adobe despite repeated bullish indications because it kept declining and AI disruption remained uncertain. A 200-month reference and prospective $300 monthly signal are watch conditions, not an actual trade or universal bottom rule.

ELI5: He can reject a buy signal when the stock keeps behaving badly.

S28-P0078 (L49) S28-P0079 (L49) S28-P0080 (L49)

Numbers

  • Value
    200-month MA
    Context
    Adobe reference distinct from weekly
    Ref
    S28-P0078 (L49)
    Source excerpt
    200 uh monthly moving average
  • Value
    about$300
    Context
    Prospective condition
    Ref
    S28-P0080 (L49)
    Source excerpt
    300 range

Concrete examples

Adobe bearish business view belongs partly to the host

S28 | Stephen Johnson and Bobdog | A: Explicit statement

Attribution: highseparate speaker opinions

Stephen cites his marketing/editor experience and argues AI may prevent recovery. Bob expresses uncertainty, while citing favorable financials. Neither is independently verified fundamental analysis in this extract.

ELI5: The host negative view is not the same as the guest trading rule.

S28-P0079 (L49) S28-P0080 (L49) S28-P0081 (L49) S28-P0082 (L49)

Strategy and regime

IGV hedge claim is observed rotation, not a proven hedge

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He calls software a hedge because it recently rose on AI/semiconductor down days and seems undervalued. No correlation sample, hedge ratio or stress protection is supplied; it remains additional equity exposure.

ELI5: Moving opposite another sector recently does not guarantee future protection.

S28-P0083 (L49) S28-P0084 (L49) S28-P0085 (L49)

Evidence and limitations

AI bottleneck thesis expands beyond the obvious leader

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He favors power and data-center infrastructure, inspired by a third-party manifesto and holdings, mentioning Bloom, TE and SanDisk. The fund 2500%/$200m-to $5bn and TE 10x claims are uncorroborated guest assertions, not evidence of verified fund return or a target.

ELI5: He looks for businesses supplying things that AI growth may run short of.

S28-P0085 (L49) S28-P0086 (L49) S28-P0087 (L49) S28-P0088 (L49) S28-P0089 (L49)

Numbers

  • Value
    2500%
    Context
    Unverified third-party performance claim
    Ref
    S28-P0086 (L49)
    Source excerpt
    2500% return
  • Value
    10x
    Context
    Speculative TE upside language
    Ref
    S28-P0089 (L49)
    Source excerpt
    10x from here

Strategy and regime / Evidence and limitations

Rich premiums accompany substantial underlying risk

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

CoreWeave, Galaxy, IREN/Cipher and captioned EOS are favored volatile names. He says EOS can yield about 6% weekly premium but also dropped 40% in a day. Premium size cannot be evaluated independently of loss severity.

ELI5: Big contract payments can come with very large share-price losses.

S28-P0090 (L49) S28-P0091 (L49)

Numbers

  • Value
    6% weekly
    Context
    Guest premium opportunity claim
    Ref
    S28-P0090 (L49)
    Source excerpt
    6%
  • Value
    40% in a day
    Context
    Guest underlying-loss example
    Ref
    S28-P0090 (L49)
    Source excerpt
    dropped 40% in a day

Losses and survival

Repeated small universe builds familiarity and concentration

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He trades 10-20 names repeatedly; says 70% of last-year gains came from five. Familiar patterns are the benefit, while his admitted lack of biotech expertise is a boundary. This is profit concentration, not a recommended allocation.

ELI5: Knowing a few stocks well also concentrates where his profits come from.

S28-P0091 (L49) S28-P0092 (L49) S28-P0093 (L49)

Numbers

  • Value
    10-20stocks
    Context
    Recurring universe
    Ref
    S28-P0091 (L49)
    Source excerpt
    10 to 20 stocks
  • Value
    70% in five stocks
    Context
    Reported gain concentration
    Ref
    S28-P0092 (L49)
    Source excerpt
    70% of my gains were in five stocks

Entries and execution

Start with part of intended allocation, not part of total equity

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He never begins at full size;20% is an example fraction of planned position allocation. It does not state 20% account risk or a fixed sizing rule.

ELI5: He starts with part of the planned position, not a stated share of his whole account.

S28-P0093 (L49) S28-P0094 (L49)

Numbers

  • Value
    20% of allocation
    Context
    Initial position example
    Ref
    S28-P0094 (L49)
    Source excerpt
    20% of like what my full allocation would be

Entries and execution / Sizing and exposure

Cipher puts accumulate with bullish confirmations

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He describes first weekly blue star aroundApril 20, initial cash-secured put, then more puts as bullish signals appear. Monday/Tuesday sales expire Friday while trend remains bullish. Strike/delta and reserve policy are absent.

ELI5: He adds more puts as his bullish signals strengthen.

S28-P0094 (L49) S28-P0095 (L49) S28-P0096 (L49)

Entries and execution

Covered calls are delayed until risk or peaking seems greater

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He generally avoids many covered calls during strong upside, then becomes comfortable near potential peaks/all-time highs. Cipher puts around 15-16 and later 20s provide an example; willingness to sell early limits regret rather than maximizing every run.

ELI5: He sells more calls when he is more willing to give up the shares.

S28-P0095 (L49) S28-P0096 (L49)

Exits and adjustments

RDW was an explicit early-accumulation exception

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | B: Reported experience

Attribution: highunverified reported experience

He built for weeks below descending resistance while other space names rallied, accepting slightly red exposure because of a sector picks-and-shovels thesis. The later breakout is hindsight, not proof every laggard catches up.

ELI5: He sometimes starts buying before the weak price trend improves.

S28-P0097 (L49) S28-P0098 (L49)

Concrete examples

HOOD and OPEN override the bullish-trend preference

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He admits accumulating flat/weak Robinhood on generational-transfer beliefs and OPEN over months through shares or put assignment. OPEN thesis depends on rates, management, insider buying and expected profitability; no invalidation or maximum holding period is disclosed.

ELI5: Some long-term beliefs lead him to buy despite weak current prices.

S28-P0099 (L49) S28-P0100 (L49) S28-P0101 (L49) S28-P0102 (L49)

Losses and survival

Long-term familiarity substitutes for impossible short-term certainty

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He says he cannot predict tomorrow/week and favors companies he knows or uses. Product familiarity can help understanding but does not prove trading edge; the speculative SEC-law explanation in his Bitcoin aside is unverified.

ELI5: He prefers familiar companies because tomorrow price is still uncertain.

S28-P0103 (L49) S28-P0104 (L49) S28-P0105 (L49) S28-P0106 (L49)

Learning and review

Extreme-fear accumulation is a separate contrarian principle

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He likes fear/greed near 5 or below 10 for accumulation and greed for selling, encouraging conviction in strong companies. Broad media-manipulation suspicions and every-CNBC-special-followed-by 30% claims lack supplied evidence and must not become timing rules.

ELI5: Buying during fear is a different approach from waiting for a rising trend.

S28-P0106 (L49) S28-P0107 (L49) S28-P0108 (L49) S28-P0109 (L49)

Numbers

  • Value
    5 or below10
    Context
    Guest fear-index examples
    Ref
    S28-P0106 (L49)
    Source excerpt
    five or under a 10
  • Value
    30% a year later
    Context
    Unsupported CNBC-event claim
    Ref
    S28-P0108 (L49)
    Source excerpt
    30% a year later

Evidence and limitations

Fundamental emphasis changes with regime

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He says technicals lead in a bull market and fundamentals matter more in a bear. Cash/profitability provide flexibility and lower perceived dilution risk, but no quantified valuation screen is defined; GameStop cash/market-cap figures are guest snapshots.

ELI5: He pays more attention to company finances when markets are falling.

S28-P0110 (L49) S28-P0111 (L49) S28-P0112 (L49)

Strategy and regime

Public indicators are alternatives, not replicas

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | A: Explicit statement

Attribution: highexplicit process description

He suggests 200-week MA, RSI, MACD and general price relation to averages for basic trend reading. These can catch momentum without exact bottoms; he does not claim they reproduce proprietary blue/purple stars.

ELI5: Basic chart tools can help, but they do not reproduce his private signals.

S28-P0113 (L49) S28-P0114 (L49)

Learning and review / Testing and automation

Learning losses do not establish a required tuition bill

S28 | Bobdog (Bob Dog; Bobdog1922; Theta Daddies) | B: Reported experience

Attribution: highunverified reported experience

He reports about $50k losses before profitability and would seek firm/community learning if restarting. He recommends contrasting educators and pays for TradingView/Unusual Whales; these are preferences with commercial context, not independent efficacy evidence.

ELI5: His early losses are a personal history, not a fee every learner must pay.

S28-P0115 (L49) S28-P0116 (L49) S28-P0117 (L49) S28-P0118 (L49) S28-P0119 (L49)

Numbers

  • Value
    $50,000
    Context
    Self-reported early loss
    Ref
    S28-P0115 (L49)
    Source excerpt
    lost like $50,000

Learning and review / Testing and automation

Bridgeway shadowing taught order placement

S29 | Binh (spoken/captioned Ben) | B: Reported experience

Attribution: highunverified reported experience

He explicitly identifies Bridgeway, not Bridgewater, in Houston. Shadowing a low-liquidity-market trader taught order-book structure, block trades and placement, rather than an instantly profitable public setup.

ELI5: Watching a trading desk taught him how orders actually get filled.

S29-P0039 (L53) S29-P0040 (L53)

Development / Entries and execution

Prop access involved fees and multiple account stages

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

His historical recollection is $149 monthly for a nominal $150k evaluation, another $149 activation,$9k target and corrected $4.5k loss allowance. He describes simulated evaluation, simulated funded earnings and later live capital, not an immediate $150k cash allocation.

ELI5: The advertised account number was not money he could freely lose or withdraw.

S29-P0041 (L53) S29-P0042 (L53) S29-P0045 (L53) S29-P0046 (L53) S29-P0047 (L53) S29-P0048 (L53)

Numbers

  • Value
    $149 monthly
    Context
    His historical fee
    Ref
    S29-P0045 (L53)
    Source excerpt
    $149 for me um per month
  • Value
    $9k/$4.5k
    Context
    Evaluation target/loss allowance
    Ref
    S29-P0046 (L53)
    Source excerpt
    9,000 without losing 4500

Sizing and exposure

Historical payout terms are a recollection, not current offers

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He says first $10k went fully to the trader then 90/10 split, and illustrates a $20k live balance from simulated funded profits. Comments about named firms and difficult rules describe his experience at that time, not verified present terms.

ELI5: Old prices and payout rules may not describe a firm today.

S29-P0041 (L53) S29-P0042 (L53) S29-P0047 (L53) S29-P0048 (L53)

Numbers

  • Value
    $10k then90/10
    Context
    Reported historical split
    Ref
    S29-P0048 (L53)
    Source excerpt
    first $10,000 is is 100% you and then afterwards it's 9010

Evidence and limitations

Capital-building took time before the headline gains

S29 | Binh (spoken/captioned Ben) | B: Reported experience

Attribution: highunverified reported experience

First six months were cautious learning; first pass came about a year and month in. He reports over $200k in roughly two years during favorable index opportunities and used it to fund his own account.

ELI5: He spent a long learning period before building his own trading money.

S29-P0043 (L53) S29-P0044 (L53)

Numbers

  • Value
    about13 months
    Context
    Time to first pass
    Ref
    S29-P0044 (L53)
    Source excerpt
    a year and 1 month
  • Value
    over$200k
    Context
    Reported two-year prop gains
    Ref
    S29-P0044 (L53)
    Source excerpt
    in two years I made over 200,000

Development / Evidence and limitations

Opportunity breadth, not just fee avoidance, drove equities move

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He corrects the host: NQ/ES momentum opportunities were sporadic despite daily range. Thousands of equities supplied more company-specific moves and practice, making his results less dependent on a few volatile periods.

ELI5: More stocks gave him more suitable opportunities to choose from.

S29-P0049 (L53) S29-P0050 (L53) S29-P0051 (L53) S29-P0052 (L53) S29-P0053 (L53) S29-P0054 (L53)

Strategy and regime

His futures edge needed sustained movement

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He describes five-minute-to-hour trades and market stress where participants take available prices instead of calmly quoting fair value. VIX 20-25 is an illustrative favorable environment, not a mechanically tested trigger.

ELI5: He needs a move that lasts long enough to enter and exit.

S29-P0050 (L53) S29-P0051 (L53) S29-P0053 (L53)

Numbers

  • Value
    5min-1hour
    Context
    Typical trade duration
    Ref
    S29-P0051 (L53)
    Source excerpt
    5 minutes to like an hour
  • Value
    VIX20-25
    Context
    Illustrative volatile conditions
    Ref
    S29-P0051 (L53)
    Source excerpt
    VIX is above a 20 25

Entries and execution

Daily extension classifiers remain unspecified

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He uses X ATRs from an average, X percent beyond upper Bollinger Band and X volume increase. Five or nine moving averages are mentioned later, without clear type/threshold. This is a feature list, not a fully parameterized strategy.

ELI5: The interview names the measuring tools but leaves out the cutoff numbers.

S29-P0055 (L53) S29-P0056 (L53) S29-P0070 (L53) S29-P0071 (L53) S29-P0089 (L53)

Evidence and limitations

Rare metal extremes were an exception to his usual opportunity view

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He says major futures/FX assets less often deviate as extremely as individual stocks; gold/silver did and were valuable exceptions. Five-sigma language is loose, with no distribution or calculation supplied.

ELI5: He usually finds extremes in stocks, but sometimes a major asset becomes unusually stretched.

S29-P0057 (L53) S29-P0058 (L53) S29-P0059 (L53)

Strategy and regime

Gold profits and verified account scope must stay separate

S29 | Binh (spoken/captioned Ben) | B: Reported experience

Attribution: highunverified reported experience

He reports over $300k gold futures plus $118k equity-side in one day. Host rounds this toward half a million, which is not the stated sum. Later $555k/seven-month curve is equities/options, not futures; other gains remain outside it.

ELI5: Different accounts and periods should not be added into one performance claim.

S29-P0038 (L53) S29-P0058 (L53) S29-P0059 (L53) S29-P0102 (L53) S29-P0104 (L53)

Numbers

  • Value
    over$300k
    Context
    Reported gold futures profit
    Ref
    S29-P0058 (L53)
    Source excerpt
    over 300,000
  • Value
    $118k
    Context
    Equity-side day
    Ref
    S29-P0058 (L53)
    Source excerpt
    $118,000 in in one day
  • Value
    $555k
    Context
    Host displayed equity/options scope
    Ref
    S29-P0102 (L53)
    Source excerpt
    555,000

Evidence and limitations

Wait for the turn rather than repeatedly fading the front side

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

Tape change, volume and a turn let him commit more confidently. Too many early stopouts can leave a trader afraid when the actual reversal arrives; peers provide context but no proof of the top.

ELI5: Do not spend all your money and confidence guessing the peak.

S29-P0059 (L53) S29-P0060 (L53) S29-P0061 (L53) S29-P0063 (L53) S29-P0072 (L53) S29-P0073 (L53)

Losses and survival / Psychology and decisions

Review under-sizing as well as losing trades

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

After gold he was disappointed not to use more size at favorable risk locations and reviewed where he could have added. That is retrospective improvement work, not evidence that bigger always would have been safe.

ELI5: A review asks whether good opportunities were used well, not just whether money was lost.

S29-P0063 (L53) S29-P0064 (L53) S29-P0072 (L53) S29-P0073 (L53)

Sizing and exposure / Learning and review

Gold and silver chart episodes are distinct

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He corrects the host: gold was October 17, while the host meant recent January silver. Host 15%-up historical rarity discussion is not Binh numeric trigger and is not verified here.

ELI5: The conversation jumps between two different metal trades.

S29-P0061 (L53) S29-P0062 (L53) S29-P0064 (L53) S29-P0088 (L53) S29-P0089 (L53)

Strategy and regime

Analyze the more active market even when trading its proxy

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

A respected trader told him to focus on GC volume rather than just GLD. ETF charts omit overnight detail important to the thesis; he also traded futures simultaneously.

ELI5: Use the market showing the full action, even if your trade uses a related instrument.

S29-P0065 (L53) S29-P0066 (L53) S29-P0069 (L53) S29-P0070 (L53) S29-P0072 (L53)

Entries and execution / Testing and automation

Asian failure and London rollover supplied a historical template

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He looked for a strong Asian-session gap that failed, then London weakness. He admits few analogs and does not know why his physical-versus-electronic-session explanation should cause it.

ELI5: Past examples suggested a sequence, but did not prove why it happens.

S29-P0065 (L53) S29-P0066 (L53) S29-P0067 (L53)

Evidence and limitations

Failed opening push supplied the gold execution trigger

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

After monitoring Asian and London sessions all night, he was ready for an up-through-open push that quickly failed or a trendline break in New York. The daily extension supplied context; the intraday failure supplied timing.

ELI5: He waited for an attempted rise to fail before entering.

S29-P0067 (L53) S29-P0068 (L53) S29-P0069 (L53) S29-P0070 (L53) S29-P0071 (L53)

Entries and execution / Concrete examples

Correct direction can still lose with a poor risk location

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He illustrates GC moving 30 points in one minute, about $3k per contract. The challenge is placing size near a meaningful level so ordinary violence does not stop him before the expected move.

ELI5: A trade can move too far against you before it finally goes your way.

S29-P0072 (L53) S29-P0073 (L53)

Numbers

  • Value
    30points/$3k
    Context
    Guest one-GC example
    Ref
    S29-P0072 (L53)
    Source excerpt
    30 points in GC, which is like $3,000

Entries and execution / Losses and survival

Split an idea budget across separate attempts

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

Options preserve buying power when the first entry can fail. He illustrates a $30k idea budget split into three $10k risks, then reassessment. This is example dollar budgeting, not a universal account-risk percentage.

ELI5: Keep some of the planned risk available for a later attempt.

S29-P0074 (L53) S29-P0075 (L53)

Numbers

  • Value
    $30k into3x$10k
    Context
    Illustrative risk budget
    Ref
    S29-P0075 (L53)
    Source excerpt
    risk $30,000
  • Value
    three$10k
    Context
    Attempt allocation
    Ref
    S29-P0075 (L53)
    Source excerpt
    three 10k risk trades

Sizing and exposure / Losses and survival

Same-day options were selected for a particular Friday move

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He used 0DTE near/at/in-the-money options to limit time value paid during a high-IV extreme. This does not show cheap total risk; rapid price changes and expiry still matter, and it is not his universal maturity rule.

ELI5: Less time left can reduce one cost while making the trade less forgiving.

S29-P0076 (L53) S29-P0077 (L53)

Strategy and regime

Volatility expansion is his option thesis, not guaranteed extra profit

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He wants to buy before a fast drop and sell into it, expecting higher option pricing as volatility rises. Calling vega the premium or saying dealers must add it conflates sensitivity, implied volatility and price; no Greek P&L decomposition proves the mechanism.

ELI5: He hopes options become more valuable during the rush, but that extra boost is uncertain.

S29-P0076 (L53) S29-P0078 (L53) S29-P0079 (L53) S29-P0080 (L53)

Evidence and limitations

Gold exit used Asian lows and volume with a remainder

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He took most size off near Asian-session lows, used volume in exit decisions and kept a trailer with VWAP discussed. He explicitly cannot explain why Asian lows matter beyond experience; exact trailing procedure is missing.

ELI5: He sold most near a level where he expected a bounce and kept a smaller piece.

S29-P0081 (L53) S29-P0082 (L53)

Exits and adjustments / Concrete examples

Margin-intervention story was not accepted as fact

S29 | Stephen Johnson, qualified by Binh | A: Explicit statement

Attribution: highhost speculation explicitly unresolved

Host mentions hedge funds underwater and margin hikes allegedly forcing action. Binh says he does not know which parts are speculation. The host reserve-currency/geopolitical narrative likewise is context, not an execution rule.

ELI5: The guest did not confirm the host story about why the market moved.

S29-P0082 (L53) S29-P0083 (L53) S29-P0085 (L53) S29-P0086 (L53)

Strategy and regime

Silver distinguishes first crack from continuation day

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

After accelerating slope and major gaps, traders identified Thursday as first backside day, with Asian high as risk reference. They then traded continuation on day two; the session level matters more than merely calling it extended.

ELI5: The first reversal and the next-day follow-through are different opportunities.

S29-P0083 (L53) S29-P0084 (L53) S29-P0085 (L53)

Entries and execution / Concrete examples

Historical analogs set context, not exact execution

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He corrects the host certainty: he does not know the top. Daily analogs locate likely conditions, but entries require live tape, volume, averages and VWAP. A similar old chart is not an instruction to copy every old fill.

ELI5: History helps choose where to watch; current prices decide when to act.

S29-P0089 (L53) S29-P0090 (L53) S29-P0091 (L53) S29-P0092 (L53) S29-P0093 (L53)

Entries and execution

Premium-at-risk and delta-based sizing are different modes

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He cites $36k in 0DTE options and says sometimes he sizes for zero, sometimes an X delta amount. That distinction leaves total-premium-loss tolerance versus a planned underlying-level loss unresolved; neither is a complete portfolio cap.

ELI5: The cash spent and the loss expected at a stop are different numbers.

S29-P0090 (L53) S29-P0091 (L53)

Numbers

  • Value
    $36,000
    Context
    Cited 0DTE position amount
    Ref
    S29-P0090 (L53)
    Source excerpt
    $36,000 in options in zero DTE

Sizing and exposure

Mainstream attention upgraded the setup, not its entry trigger

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He considered metals more compelling than a niche BYND blowoff because the story drew broad participation, even family attention. That affected his willingness to risk, while the short entry still had to be technical.

ELI5: A widely watched story can make the opportunity larger, but he still needs a price signal.

S29-P0087 (L53) S29-P0088 (L53) S29-P0094 (L53) S29-P0095 (L53) S29-P0096 (L53)

Strategy and regime / Losses and survival

A large trade needs a concrete wrong level

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He wants a visible buyer, structural price level or gamma-related level to say when the thesis is wrong. News alone cannot supply that stop; otherwise large capital can suffer rapidly.

ELI5: Before risking money, know what price would tell you to leave.

S29-P0095 (L53) S29-P0096 (L53) S29-P0097 (L53)

Losses and survival / Testing and automation

Gamma detail is explicitly withheld

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He mentions market-maker-related gamma levels and trading behavior around them but declines to explain further. This cannot be transformed into a gamma-exposure model, formula or entry rule.

ELI5: One claimed part of the method is not explained.

S29-P0097 (L53) S29-P0098 (L53)

Evidence and limitations

Purchased puts are distinct from selling premium

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

At the end he rejects premium-selling framing. He uses options to express downside and suggests 50 delta for a slower grind,20-30 delta for a fast move, as conditional examples rather than a calibrated universal rule.

ELI5: He buys a contract to benefit from a fall; he is not collecting a fee for selling that contract first.

S29-P0102 (L53) S29-P0103 (L53) S29-P0104 (L53)

Numbers

  • Value
    50delta
    Context
    Slow-grind example
    Ref
    S29-P0103 (L53)
    Source excerpt
    a 50 delta
  • Value
    20-30delta
    Context
    Fast-move example
    Ref
    S29-P0104 (L53)
    Source excerpt
    20 or 30 delta option

Strategy and regime

Curiosity and direct conversations drove learning

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He describes lifelong interest, serious start around internship and reaching traders he respected. The host guesses starting age and duration, but those are not a precise confirmed timeline.

ELI5: He learned by asking experienced people detailed questions.

S29-P0099 (L53) S29-P0100 (L53) S29-P0105 (L53)

Development / Learning and review

AI is a debate partner followed by market tests

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He corrects the host answers-on-demand framing: he argues with GPT, may think it wrong, then forward-tests against actual results. Strike/delta choice still requires trial, error or backtests and is not solved by GPT.

ELI5: Use AI to challenge an idea, then check whether the idea works in reality.

S29-P0100 (L53) S29-P0101 (L53) S29-P0105 (L53) S29-P0106 (L53) S29-P0107 (L53)

Testing and automation

He resists becoming a teacher before finishing his own learning

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He offers no course link and says he does not feel qualified to teach, fearing it can interrupt being a student. Host praise must not be substituted for independent proof of expertise.

ELI5: He sees himself as still learning.

S29-P0108 (L53) S29-P0109 (L53)

Learning and review

Scaling encounters liquidity and technology constraints

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He wants to expand and perhaps run a fund, but notes very large capital cannot scale indefinitely because orders and systems become limiting. It is an aspiration, not a plan or capacity estimate.

ELI5: A trade that works with small money may not work with huge orders.

S29-P0110 (L53) S29-P0111 (L53)

Sizing and exposure

Emotional control remains unfinished

S29 | Binh (spoken/captioned Ben) | A: Explicit statement

Attribution: highexplicit process description

He corrects the host mature/emotionless framing, saying he is still emotional. Self-competition and treating losses as learning help; supportive family and claimed strong Clash Royale ranking explain motivation, not trading efficacy.

ELI5: He still feels losses and tries to learn from them.

S29-P0112 (L53) S29-P0113 (L53) S29-P0114 (L53) S29-P0115 (L53)

Psychology and decisions / Learning and review

Account headline does not verify a strategy

S30 | Description / Stephen Johnson | B: Reported experience

Attribution: highdescription and host claim

Description and host promote broker-verified profits and a part-time workload. Later the host says only the recent broker upload is represented. Neither independently verifies the causal contribution or reproducibility of these methods.

ELI5: A headline is not a strategy test.

S30-P0015 (L19) S30-P0043 (L54) S30-P0044 (L54) S30-P0056 (L54)

Numbers

  • Value
    $327,000
    Context
    promoted profits
    Ref
    S30-P0015 (L19)
    Source excerpt
    over $327,000 in broker verified profits
  • Value
    2 hours/day
    Context
    host workload claim
    Ref
    S30-P0044 (L54)
    Source excerpt
    roughly 2 hours a day

Evidence and limitations

Greeks and risk premium replace chart prediction

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

He selects option structures from Greeks and options data, claiming risk premium permits entry error. His assertions that technical patterns lack proven edge and most options expire worthless have no comparative evidence here.

ELI5: He estimates a possible price range instead of guessing the next move.

S30-P0045 (L54) S30-P0046 (L54) S30-P0048 (L54) S30-P0049 (L54)

Exceptions

  • Premium and win rate alone do not establish expectancy.

Numbers

  • Value
    80%
    Context
    unsupported expiry statistic
    Ref
    S30-P0046 (L54)
    Source excerpt
    80% of the options go to zero

Strategy and regime / Evidence and limitations

Challenge growth and compounding are reported outcomes

S30 | Ravish | B: Reported experience

Attribution: highunverified self-report

He started a separate account targeting monthly income, then changed to a million-dollar goal after rapid gains. Rounded balance and balance including unrealized gains differ. Deposits, costs and audited time series are absent; monthly compounding is not a forecast.

ELI5: Keep growth stories separate from testable rules.

S30-P0050 (L54) S30-P0051 (L54) S30-P0052 (L54) S30-P0068 (L54) S30-P0069 (L54) S30-P0150 (L54) S30-P0151 (L54)

Numbers

  • Value
    $100,000
    Context
    initial challenge account
    Ref
    S30-P0050 (L54)
    Source excerpt
    a new account with $100,000
  • Value
    $10,000/month
    Context
    objective
    Ref
    S30-P0068 (L54)
    Source excerpt
    make $10,000 a month
  • Value
    $15,000-$20,000
    Context
    early monthly gains
    Ref
    S30-P0050 (L54)
    Source excerpt
    make 15, 20,000 dollars
  • Value
    14 months / $450,000
    Context
    rounded balance
    Ref
    S30-P0051 (L54)
    Source excerpt
    now 14 months in, and the account is already at 450,000
  • Value
    $456,000
    Context
    including unrealized gains
    Ref
    S30-P0068 (L54)
    Source excerpt
    456k including unrealized gain
  • Value
    $97,000
    Context
    last month realized claim
    Ref
    S30-P0068 (L54)
    Source excerpt
    last one month realized gain is $97,000
  • Value
    $70,000
    Context
    month-to-date claim
    Ref
    S30-P0068 (L54)
    Source excerpt
    month to date is $70,000
  • Value
    8-15% monthly
    Context
    later compounding claim
    Ref
    S30-P0150 (L54)
    Source excerpt
    8 to 15% a month

Sizing and exposure / Evidence and limitations

Beginner luck created false confidence

S30 | Ravish | B: Reported experience

Attribution: highunverified history

Accidentally discovering Robinhood options produced immediate wins and thoughts of abandoning technology work. Years of option buying and chart experimentation then lost money; a COVID setback prompted change. Initial success was not skill evidence.

ELI5: Early wins can teach the wrong lesson.

S30-P0057 (L54) S30-P0058 (L54) S30-P0059 (L54) S30-P0061 (L54) S30-P0062 (L54)

Numbers

  • Value
    $500 to $2,500
    Context
    first trade
    Ref
    S30-P0058 (L54)
    Source excerpt
    put in $500 in my first trade. Next day, it turned into $2,500
  • Value
    $1,500
    Context
    next overnight gain
    Ref
    S30-P0058 (L54)
    Source excerpt
    made another $1,500
  • Value
    $5,000
    Context
    first-week gain
    Ref
    S30-P0058 (L54)
    Source excerpt
    first week, I made like $5,000
  • Value
    $2,000
    Context
    initial account
    Ref
    S30-P0058 (L54)
    Source excerpt
    account with just $2,000

Development / Losses and survival

Bull market concealed directional leverage

S30 | Ravish | B: Reported experience

Attribution: highunverified history

After cash-secured puts and covered calls he added money and leverage because annual returns on a small account felt insufficient. Strong 2021 results reversed in 2022, prompting neutral structures. His claim that these outperform in down years is not demonstrated.

ELI5: A rising market made earlier risk look safer.

S30-P0061 (L54) S30-P0062 (L54) S30-P0063 (L54) S30-P0064 (L54)

Numbers

  • Value
    $20,000-$30,000
    Context
    earlier account
    Ref
    S30-P0063 (L54)
    Source excerpt
    about 20 30,000 dollars
  • Value
    20-40% annual
    Context
    claim about simple selling
    Ref
    S30-P0062 (L54)
    Source excerpt
    20 to 40% annual return
  • Value
    2021
    Context
    strong year preceding reversal
    Ref
    S30-P0063 (L54)
    Source excerpt
    In 2021, I had a blockbuster year

Development / Strategy and regime / Sizing and exposure

Employment exit followed income replacement

S30 | Ravish | B: Reported experience

Attribution: highunverified history

He left technology work after options income exceeded job income, following years of learning. The sustained-income period and financial buffer are not stated.

ELI5: He says income came before quitting.

S30-P0060 (L54) S30-P0061 (L54)

Development

Range selling has a bounded success condition

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

Delta neutral is an umbrella including strangles and condors. His example sells both sides with a buffer beyond a historical range; success requires staying inside the relevant range, not arbitrary movement in any direction.

ELI5: Both directions can work inside the fence.

S30-P0064 (L54) S30-P0065 (L54) S30-P0066 (L54) S30-P0086 (L54) S30-P0087 (L54) S30-P0088 (L54)

Numbers

  • Value
    $100
    Context
    hypothetical spot
    Ref
    S30-P0065 (L54)
    Source excerpt
    stock that's trading at $100
  • Value
    $90 / $110
    Context
    short strikes
    Ref
    S30-P0066 (L54)
    Source excerpt
    at $90 and we sell call at $110
  • Value
    5-7%
    Context
    illustrative monthly observed range
    Ref
    S30-P0087 (L54)
    Source excerpt
    Maybe it's 5 to 7%
  • Value
    10%
    Context
    illustrative buffered distance
    Ref
    S30-P0087 (L54)
    Source excerpt
    10% down from the current price

Strategy and regime

Mechanical repetition follows research

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

He describes fixed-day, fixed-time, fixed-structure strategies with backtested expectancy and says some are automated. Complete schedules and parameters are not supplied.

ELI5: Repeat a tested recipe, but the ingredients are incomplete.

S30-P0067 (L54) S30-P0068 (L54)

Testing and automation

Delta teaching conflates sensitivity and probability

S30 | Ravish | E: Unclear or conflicting

Attribution: highoversimplified explicit explanation

He uses a 20-delta call as dollar sensitivity, then equates it to profit and in-the-money probability, reinforced by the host. The text supplies no model assumptions or premium breakeven. These are claims, not exact probabilities.

ELI5: How much an option moves is not the same as its chance of making money.

S30-P0071 (L54) S30-P0072 (L54) S30-P0073 (L54) S30-P0074 (L54)

Numbers

  • Value
    20 delta
    Context
    sensitivity example
    Ref
    S30-P0071 (L54)
    Source excerpt
    currently at 20 delta
  • Value
    $200 / 50%
    Context
    premium-return example
    Ref
    S30-P0072 (L54)
    Source excerpt
    option that I bought for $200 can make 50% return
  • Value
    20%
    Context
    ITM/profit conflation
    Ref
    S30-P0073 (L54)
    Source excerpt
    20% chance of expiring in the money

Evidence and limitations

Win rate needs loss size

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

Very far out-of-money options may win frequently but one parabolic move can erase gains. He prefers approximately even realized gains and losses with high win rate. Reported monthly hit rates are not verified.

ELI5: One large loss can erase many wins.

S30-P0074 (L54) S30-P0075 (L54) S30-P0076 (L54)

Numbers

  • Value
    5 delta / 95%
    Context
    illustrative probability claim
    Ref
    S30-P0074 (L54)
    Source excerpt
    five delta option. They will have 95% win rate
  • Value
    70-80%
    Context
    preferred win rate
    Ref
    S30-P0075 (L54)
    Source excerpt
    70 to 80% win rate
  • Value
    $100 / $100
    Context
    payoff illustration
    Ref
    S30-P0075 (L54)
    Source excerpt
    making $100 if I'm losing I'm losing $100
  • Value
    near 100% / 2 months
    Context
    recent outcome claim
    Ref
    S30-P0076 (L54)
    Source excerpt
    Last 2 months has been close to 100%

Losses and survival

Predictable ranges need not be boring companies

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

The host suggests staples; Ravish distinguishes bullish technology investments from range-based selling. Fundamentals are not his selling filter. No quantified universe or scanner is given.

ELI5: He wants a range, not a boring business.

S30-P0077 (L54) S30-P0078 (L54) S30-P0079 (L54)

Strategy and regime

No-trade periods protect capital

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

He avoids anticipated volatility from war or FOMC and accepts inactive months, describing a flat Iran-related period. This is discretionary and coexists with deliberately trading selected earnings.

ELI5: Staying out can be the decision.

S30-P0079 (L54) S30-P0080 (L54) S30-P0081 (L54)

Exceptions

  • Not a blanket earnings prohibition.

Numbers

  • Value
    one month
    Context
    accepted inactivity
    Ref
    S30-P0080 (L54)
    Source excerpt
    do not make any trade for a month

Losses and survival

Low historical drawdown does not establish low tail risk

S30 | Ravish | B: Reported experience

Attribution: highunverified screenshot interpretation

He interprets a broker screenshot as strong growth with single-digit drawdown versus large index losses. The marked-to-market series and like-for-like benchmark calculations are absent.

ELI5: A smooth past line is not every future danger.

S30-P0080 (L54) S30-P0081 (L54) S30-P0082 (L54) S30-P0121 (L54)

Numbers

  • Value
    300%
    Context
    growth claim
    Ref
    S30-P0080 (L54)
    Source excerpt
    up like 300%
  • Value
    single-digit percent
    Context
    drawdown claim
    Ref
    S30-P0081 (L54)
    Source excerpt
    my drawdown is in single-digit percent
  • Value
    15-20%
    Context
    index comparison
    Ref
    S30-P0081 (L54)
    Source excerpt
    S&P ranging from 15 to 20%

Losses and survival / Evidence and limitations

Liquidity and psychology cap scale

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

He rejects extrapolation to billions because liquidity limits position size, and says growing wealth increases preservation concerns. Market makers hunting big positions is his unsupported explanation.

ELI5: A trade gets harder when it becomes huge.

S30-P0082 (L54) S30-P0083 (L54) S30-P0084 (L54)

Entries and execution / Sizing and exposure / Psychology and decisions

Risk capital is separated from protected wealth

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

The challenge uses money he says he could lose entirely; he advises a separate allocation and small learning trades. This is not a disclosed percentage-risk rule.

ELI5: Keep experimental money in its own box.

S30-P0053 (L54) S30-P0054 (L54) S30-P0084 (L54) S30-P0085 (L54)

Numbers

  • Value
    $100,000
    Context
    capital he could lose
    Ref
    S30-P0084 (L54)
    Source excerpt
    start a new account with 100k because I can afford to lose 100k

Sizing and exposure / Losses and survival

Naked strangle exposes overnight gap risk

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

Meta after earnings illustrates short put/call credits and model probability. He suggests exiting range breaches, then acknowledges gaps can overwhelm small planned losses and says he normally avoids naked strangles. Changing spot and strikes mean this is not one executable ticket.

ELI5: A sudden price jump can skip over the planned exit.

S30-P0089 (L54) S30-P0090 (L54) S30-P0091 (L54) S30-P0092 (L54)

Numbers

  • Value
    605 / 505
    Context
    spot and put strike
    Ref
    S30-P0089 (L54)
    Source excerpt
    stock is trading at 605. I can go sell a put at 505 strike
  • Value
    $380
    Context
    put credit
    Ref
    S30-P0089 (L54)
    Source excerpt
    get $380
  • Value
    650 / $738
    Context
    call and credit
    Ref
    S30-P0090 (L54)
    Source excerpt
    call at 650 strike. And I will get $738
  • Value
    $1,120
    Context
    total approximate credit
    Ref
    S30-P0090 (L54)
    Source excerpt
    close to $1,120
  • Value
    75%
    Context
    modeled chance
    Ref
    S30-P0090 (L54)
    Source excerpt
    75% chance of winning this trade
  • Value
    20%
    Context
    overnight gap example
    Ref
    S30-P0091 (L54)
    Source excerpt
    stocks goes up or down 20%

Entries and execution / Losses and survival / Concrete examples

Wings sacrifice premium to bound modeled loss

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

He buys outside put/call wings to address black swans. The put changes to 550 without reconciling all legs; the host initially questions hedge expense, then acknowledges overnight danger. A later historical spread example changes spot again.

ELI5: He pays for extra contracts to limit the possible loss.

S30-P0092 (L54) S30-P0093 (L54) S30-P0094 (L54) S30-P0095 (L54)

Exceptions

  • Full contracts, assignment and costs not stated.

Numbers

  • Value
    550
    Context
    changed put strike
    Ref
    S30-P0092 (L54)
    Source excerpt
    selling 550 put
  • Value
    10-20 points
    Context
    wing illustration
    Ref
    S30-P0092 (L54)
    Source excerpt
    10 to 20 points out
  • Value
    $269
    Context
    hedged credit
    Ref
    S30-P0092 (L54)
    Source excerpt
    it goes to $269
  • Value
    $731
    Context
    modeled maximum loss
    Ref
    S30-P0093 (L54)
    Source excerpt
    at 731
  • Value
    708
    Context
    later Meta spot
    Ref
    S30-P0095 (L54)
    Source excerpt
    Meta was at 708
  • Value
    332
    Context
    later spread quote
    Ref
    S30-P0095 (L54)
    Source excerpt
    trading for 332

Losses and survival / Concrete examples

Duration and payoff vary; adjustments remain undisclosed

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

He mentions zero-day through monthly structures and adjustable payoff ratios. He says adjustments often reduce realized loss, but provides no algorithm. Typical realized gains/losses differ from the maximum-payoff diagram.

ELI5: Changing strikes changes the bet; adjustments need rules.

S30-P0096 (L54) S30-P0097 (L54) S30-P0098 (L54)

Numbers

  • Value
    $1,000 / $2,000
    Context
    illustrative risk/reward
    Ref
    S30-P0096 (L54)
    Source excerpt
    risk $1,000, but I want my reward to be $2,000
  • Value
    $250
    Context
    typical win illustration
    Ref
    S30-P0097 (L54)
    Source excerpt
    win $250
  • Value
    $300 / 70-80%
    Context
    loss and hit-rate illustration
    Ref
    S30-P0098 (L54)
    Source excerpt
    lose $300 but I'm winning 70 to 80%

Exits and adjustments / Losses and survival

Earnings fly is a distinct event strategy

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

He proposes ATM Nvidia shorts with outside wings, entering before earnings close and exiting just after the next open. The rationale is expected movement above recent historical movement. Expiry is missing, upper wing is called a put, and later entry timing says open rather than close.

ELI5: Sell the earnings move, then exit quickly.

S30-P0098 (L54) S30-P0099 (L54) S30-P0100 (L54) S30-P0101 (L54) S30-P0102 (L54) S30-P0104 (L54)

Numbers

  • Value
    225 / 205 / 245
    Context
    spoken strikes with upper-wing type conflict
    Ref
    S30-P0099 (L54)
    Source excerpt
    sell 225 sell 225, buy 205 put and 245 put
  • Value
    20 points
    Context
    wing width
    Ref
    S30-P0099 (L54)
    Source excerpt
    20 point outside wing
  • Value
    $894
    Context
    modeled max loss
    Ref
    S30-P0099 (L54)
    Source excerpt
    max loss is 894
  • Value
    $1,100
    Context
    modeled credit
    Ref
    S30-P0099 (L54)
    Source excerpt
    credit you are receiving is $1,100
  • Value
    51%
    Context
    modeled probability
    Ref
    S30-P0099 (L54)
    Source excerpt
    51% chance of profit
  • Value
    15 minutes before close
    Context
    main entry instruction
    Ref
    S30-P0100 (L54)
    Source excerpt
    15 minutes before market close
  • Value
    5-10 minutes
    Context
    next-open exit
    Ref
    S30-P0101 (L54)
    Source excerpt
    first 5 to 10 minutes
  • Value
    $400
    Context
    possible early-exit gain
    Ref
    S30-P0101 (L54)
    Source excerpt
    somewhere close to $400
  • Value
    214-236
    Context
    modeled profit range
    Ref
    S30-P0102 (L54)
    Source excerpt
    between 214 to 236
  • Value
    5%
    Context
    expected move claim
    Ref
    S30-P0102 (L54)
    Source excerpt
    expecting a 5% movement

Entries and execution / Exits and adjustments / Concrete examples

Four winning events do not prove earnings expectancy

S30 | Ravish | E: Unclear or conflicting

Attribution: highsmall reported backtest with conflicting phrasing

Multiple fly/condor variants mostly won four recent events. Earlier more than 100% is impossible literally. The coin-flip analogy uses maximum gains/losses although actual early exits have variable payoffs. Event-level reconstruction and holdouts are needed.

ELI5: Four wins are four observations.

S30-P0098 (L54) S30-P0099 (L54) S30-P0100 (L54) S30-P0101 (L54) S30-P0103 (L54) S30-P0104 (L54)

Numbers

  • Value
    4/4
    Context
    one-year denominator
    Ref
    S30-P0103 (L54)
    Source excerpt
    four out of four times over the last 1 year
  • Value
    43%
    Context
    10-point wings average claim
    Ref
    S30-P0103 (L54)
    Source excerpt
    makes 43% return on average
  • Value
    28%
    Context
    20-point wings average claim
    Ref
    S30-P0104 (L54)
    Source excerpt
    20-point wide, it makes 28% return
  • Value
    $1,100
    Context
    one-contract year profit claim
    Ref
    S30-P0104 (L54)
    Source excerpt
    total profit would be $1,100

Sizing and exposure / Testing and automation / Evidence and limitations

AI implements a supplied hypothesis

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

His technical background and AI/API tools accelerate options backtesting. He rejects simply requesting a millionaire strategy; the user must provide a core idea. Vendor, quote quality, costs, fill model and code validation are absent.

ELI5: AI tests your question; it cannot make it true.

S30-P0102 (L54) S30-P0103 (L54) S30-P0106 (L54) S30-P0107 (L54)

Testing and automation

QQQ dip LEAP concept has a horizon conflict

S30 | Ravish | E: Unclear or conflicting

Attribution: highreported AI result with horizon mismatch

QQQ CSV analysis asks about a decline and three-month outcome but reports a six-month stock touch rate. He converts that to a one-year call target without specifying strike, stop or overlapping trades. A stock touch is not option profitability.

ELI5: Test the option, not just the stock path.

S30-P0108 (L54) S30-P0109 (L54)

Numbers

  • Value
    1%
    Context
    dip trigger
    Ref
    S30-P0108 (L54)
    Source excerpt
    market drops 1%
  • Value
    3 months
    Context
    question horizon
    Ref
    S30-P0108 (L54)
    Source excerpt
    next 3 months
  • Value
    90%
    Context
    reported hit rate
    Ref
    S30-P0109 (L54)
    Source excerpt
    90% of the time
  • Value
    6 months / 10%
    Context
    reported touch result
    Ref
    S30-P0109 (L54)
    Source excerpt
    in the next 6 months, it goes up by 10%
  • Value
    1 year / 50%
    Context
    LEAP expiry and target
    Ref
    S30-P0109 (L54)
    Source excerpt
    1 year expiration and 50% profit target

Testing and automation / Concrete examples

Recent testing responds to edge decay

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

He says repeat a working system until it ceases working, and no edge lasts forever. He values long battle testing but favors recent years because firms and regimes change. The host adds ongoing results monitoring. No deterioration threshold is given.

ELI5: Old success may not describe today.

S30-P0115 (L54) S30-P0116 (L54) S30-P0117 (L54)

Exceptions

  • Recent-only data may omit rare losses.

Numbers

  • Value
    1-2 years
    Context
    recent emphasis
    Ref
    S30-P0116 (L54)
    Source excerpt
    last 1 or 2 years

Strategy and regime / Learning and review / Testing and automation

Wealth ambition is motivation, not a forecast

S30 | Ravish / Stephen Johnson | A: Explicit statement

Attribution: highmotivational opinion and anecdote

Ravish credits skill, discipline and experience, inspired by Omaha investors. The host cites a Dalio anecdote about systems and working within knowledge limits. These do not prove universal millionaire outcomes.

ELI5: A routine is more testable than a wealth promise.

S30-P0110 (L54) S30-P0111 (L54) S30-P0112 (L54) S30-P0113 (L54) S30-P0114 (L54) S30-P0115 (L54) S30-P0121 (L54)

Psychology and decisions / Evidence and limitations

TECL investment is separate from neutral trading

S30 | Ravish | B: Reported experience

Attribution: highunverified retrospective trade

He reports investing in broad leveraged technology after ChatGPT emerged, avoiding selection of a single winner and accepting a total loss. This directional anecdote is not evidence for neutral-options returns.

ELI5: His AI investment was a different bet.

S30-P0119 (L54) S30-P0120 (L54) S30-P0121 (L54) S30-P0122 (L54)

Numbers

  • Value
    $20
    Context
    entry claim
    Ref
    S30-P0120 (L54)
    Source excerpt
    at $20
  • Value
    3x
    Context
    described leverage
    Ref
    S30-P0120 (L54)
    Source excerpt
    3x leverage technology ETF
  • Value
    $100,000
    Context
    investment claim
    Ref
    S30-P0120 (L54)
    Source excerpt
    100k invested
  • Value
    $200
    Context
    later price claim
    Ref
    S30-P0120 (L54)
    Source excerpt
    now at $200
  • Value
    3-4 years
    Context
    approximate duration
    Ref
    S30-P0120 (L54)
    Source excerpt
    three three four years

Strategy and regime / Sizing and exposure

Theta machine pairs different expirations

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

Buy a later option and sell an earlier option at the same strike. He calls differential decay the edge and varies term structure by outlook. The Airbnb rent analogy is educational, not a guarantee of daily income.

ELI5: Own the longer ticket; sell the shorter ticket.

S30-P0123 (L54) S30-P0124 (L54) S30-P0125 (L54) S30-P0126 (L54) S30-P0127 (L54)

Numbers

  • Value
    June 18 / June 12
    Context
    long and short example
    Ref
    S30-P0125 (L54)
    Source excerpt
    buy an option for 18 June and sell an option for 12 June

Strategy and regime

Calendar strike sets direction and target

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

He selects near 20 delta, accepts 23 delta at 740, and matches a later long call. This example is bullish. Moving closer increases model probability and reduces payoff ratio; a 710 strike is called neutral.

ELI5: Put the calendar near the intended destination.

S30-P0128 (L54) S30-P0129 (L54) S30-P0130 (L54) S30-P0132 (L54) S30-P0133 (L54) S30-P0134 (L54)

Numbers

  • Value
    23 delta
    Context
    accepted short delta
    Ref
    S30-P0128 (L54)
    Source excerpt
    this is at 23 delta
  • Value
    29%
    Context
    modeled profit probability
    Ref
    S30-P0129 (L54)
    Source excerpt
    chance of profit here is 29%
  • Value
    $162
    Context
    modeled loss
    Ref
    S30-P0130 (L54)
    Source excerpt
    max loss is just $162
  • Value
    $618
    Context
    modeled peak
    Ref
    S30-P0130 (L54)
    Source excerpt
    upside can be $618
  • Value
    730 / 30 delta
    Context
    nearer alternative
    Ref
    S30-P0132 (L54)
    Source excerpt
    730 is going to be about 30 delta
  • Value
    $194 / $600
    Context
    alternative modeled payoff
    Ref
    S30-P0132 (L54)
    Source excerpt
    $194 max loss. Max profit $600
  • Value
    710
    Context
    neutral example
    Ref
    S30-P0134 (L54)
    Source excerpt
    down to $710

Strategy and regime / Concrete examples

Calendar exits seek useful gains before a perfect finish

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

He normally takes partial gains during a move and waits for a pullback to re-enter rather than waiting for an expiry bullseye. The one-day gain is an illustration, not an average. No mandatory target or pullback definition is supplied.

ELI5: Book a useful gain without needing a perfect finish.

S30-P0130 (L54) S30-P0131 (L54) S30-P0137 (L54) S30-P0138 (L54)

Numbers

  • Value
    20-50%
    Context
    flexible exit illustration
    Ref
    S30-P0130 (L54)
    Source excerpt
    20, 30, 40, 50% profit in a week
  • Value
    $164 / 64%
    Context
    one-day illustration from $100
    Ref
    S30-P0131 (L54)
    Source excerpt
    Today it's $164. So, it's up 64%
  • Value
    30-40%
    Context
    faster-move exit illustration
    Ref
    S30-P0138 (L54)
    Source excerpt
    30 to 40% profit in a week

Entries and execution / Exits and adjustments / Concrete examples

Same-strike calendar legs do not cancel Greeks

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

Different expiries leave net delta and theta. He prefers a slow grind toward strike and describes accelerated theta near expiry. These are model snapshots, not constant daily yield.

ELI5: Two contracts at the same price can react differently because they expire at different times.

S30-P0135 (L54) S30-P0136 (L54) S30-P0137 (L54) S30-P0138 (L54)

Numbers

  • Value
    32 delta
    Context
    short leg
    Ref
    S30-P0135 (L54)
    Source excerpt
    32 delta
  • Value
    $31
    Context
    short theta
    Ref
    S30-P0135 (L54)
    Source excerpt
    $31 theta
  • Value
    35 delta
    Context
    long leg
    Ref
    S30-P0136 (L54)
    Source excerpt
    35 delta
  • Value
    $29
    Context
    long theta
    Ref
    S30-P0136 (L54)
    Source excerpt
    paying $29 theta
  • Value
    2.6 / $2
    Context
    net Greeks
    Ref
    S30-P0136 (L54)
    Source excerpt
    total delta after the full spread is 2.6. My theta is $2
  • Value
    30-50% / 1-2 weeks
    Context
    forecast claim
    Ref
    S30-P0137 (L54)
    Source excerpt
    30 to 50% profit in the next 1 to 2 weeks

Entries and execution / Concrete examples

Bearish and neutral calendars shift the profitable zone

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

He demonstrates bearish puts, a near-spot slightly bullish calendar and a shorter duration variant. Protection amounts and probabilities are changing model examples, not universal rules.

ELI5: Different strikes move the zone where it may work.

S30-P0139 (L54) S30-P0140 (L54) S30-P0141 (L54) S30-P0142 (L54)

Numbers

  • Value
    680 / 21 delta
    Context
    bearish short
    Ref
    S30-P0139 (L54)
    Source excerpt
    sell 680 put, which is at 21 delta
  • Value
    446%
    Context
    modeled potential, later rounded to 500%
    Ref
    S30-P0139 (L54)
    Source excerpt
    potential to make 446% profit
  • Value
    35%
    Context
    model probability
    Ref
    S30-P0139 (L54)
    Source excerpt
    probability is 35%
  • Value
    698 / 711
    Context
    breakeven and spot
    Ref
    S30-P0141 (L54)
    Source excerpt
    break even is 698. Currently, it's trading at 711
  • Value
    715
    Context
    slightly bullish strike
    Ref
    S30-P0141 (L54)
    Source excerpt
    715 strike
  • Value
    12-13 points
    Context
    model downside room
    Ref
    S30-P0141 (L54)
    Source excerpt
    12 to 13 points downside protection
  • Value
    701-730
    Context
    shorter-duration range
    Ref
    S30-P0142 (L54)
    Source excerpt
    701 to 730 range

Strategy and regime / Losses and survival / Concrete examples

Double calendars remain a concept

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

He says call and put calendars can be combined for both directions, but supplies no construction or management rules.

ELI5: The two-sided idea is not a complete recipe.

S30-P0144 (L54)

Strategy and regime

Host averaging down is not a guest rule

S30 | Stephen Johnson / Ravish | E: Unclear or conflicting

Attribution: highhost suggestion and conflicting generalization

The host suggests buying more if large caps fall. Ravish supplies no averaging-down policy. Ravish also says never buy calls despite the earlier LEAP-call method. These remarks must remain separate and conflicting.

ELI5: Do not turn enthusiasm into a rule.

S30-P0108 (L54) S30-P0109 (L54) S30-P0145 (L54) S30-P0146 (L54)

Strategy and regime

Google example extends the calendar horizon

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

A four-week Google example shorts June 18 400 calls against a later 400 long. He models flat-price profit, but long expiry, quote time and volatility assumptions are absent. July is the host speculation.

ELI5: The structure is clearer than the exact ticket.

S30-P0147 (L54) S30-P0148 (L54) S30-P0149 (L54)

Numbers

  • Value
    400 / June 18
    Context
    short leg
    Ref
    S30-P0147 (L54)
    Source excerpt
    sell a 400 call for June 18
  • Value
    $175
    Context
    modeled max loss
    Ref
    S30-P0147 (L54)
    Source excerpt
    max loss is just 175
  • Value
    $575
    Context
    modeled peak
    Ref
    S30-P0148 (L54)
    Source excerpt
    575. Huge asymmetric
  • Value
    50%
    Context
    flat-price model claim
    Ref
    S30-P0148 (L54)
    Source excerpt
    close to 50% profit

Concrete examples

Close calendar legs before short expiry

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

He usually closes both legs before short expiry to avoid remaining long-call theta cost. He accepts missing occasional explosive later gains for repeatability. Exceptions to usually are not specified.

ELI5: Avoid accidentally changing the trade by leaving one leg.

S30-P0149 (L54) S30-P0150 (L54)

Numbers

  • Value
    300-400%
    Context
    missed later long-call gains
    Ref
    S30-P0150 (L54)
    Source excerpt
    300% 400%

Exits and adjustments / Psychology and decisions

Model, save and observe paper trades

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

Master a couple of strategies and expected value, then model and save trades in OptionStrat. He mentions YouTube, Theta profits and Tastytrade. One Google spread staying flat while stock fell is an observation, not a hedge guarantee.

ELI5: Practice the whole spread and watch it change.

S30-P0152 (L54) S30-P0153 (L54) S30-P0154 (L54) S30-P0155 (L54) S30-P0156 (L54)

Learning and review / Testing and automation

Small trials reduce strategy hopping

S30 | Ravish | A: Explicit statement

Attribution: highexplicit process description

He identifies enthusiasm, immediate oversizing, losses and abandonment as a failure cycle. He would trade one contract for months and collect experience before scaling. No statistical acceptance threshold is stated, and months-to-learn is aspirational.

ELI5: Learn the behavior cheaply before betting more.

S30-P0053 (L54) S30-P0054 (L54) S30-P0157 (L54) S30-P0158 (L54) S30-P0159 (L54)

Numbers

  • Value
    3-6 months / one contract
    Context
    practice proposal
    Ref
    S30-P0157 (L54)
    Source excerpt
    3 months or even 6 months with just one contract
  • Value
    20-50 trades
    Context
    experience sample
    Ref
    S30-P0158 (L54)
    Source excerpt
    20 to 50 trades

Sizing and exposure / Psychology and decisions / Learning and review

The headline starting balance is the trough, not all contributed capital

S31 | Stan / Stan100X | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

The promotion frames fourteen thousand to 1.6 million, but Stan says he started with thirty thousand euros of his own and fifty thousand from parents before a peak, collapse and recovery. Currencies differ between the dollar headline and euro narrative. Treating the trough as initial outside capital misstates the full journey.

ELI5: The comeback began after much more money had already been lost.

S31-P0013 (L15) S31-P0035 (L43) S31-P0043 (L43) S31-P0044 (L43) S31-P0051 (L43) S31-P0056 (L43) S31-P0120 (L43)

Numbers

  • Value
    30,000 euros
    Context
    own initial savings
    Ref
    S31-P0043 (L43)
    Source excerpt
    30,000 euros
  • Value
    50,000
    Context
    parents savings contribution
    Ref
    S31-P0044 (L43)
    Source excerpt
    50K plus my 30K
  • Value
    80,000 euros
    Context
    stated combined start; nearby 8K is caption conflict
    Ref
    S31-P0044 (L43)
    Source excerpt
    80,000 euros 2020
  • Value
    14,000 euros
    Context
    January 2023 trough
    Ref
    S31-P0056 (L43)
    Source excerpt
    14,000 euros left

Development / Sizing and exposure

A low closed-trade win rate can coexist with one dominating winner

S31 | Stan / Stan100X | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

The host shows a thirty-three percent win rate alongside large profit. Stan emphasizes winner magnitude, and admits numerous experimental losses including puts. The interview does not provide payoff distribution, open positions, costs or sample count; losing often is not itself an advantage.

ELI5: One huge winner can outweigh many smaller losses.

S31-P0036 (L43) S31-P0077 (L43) S31-P0078 (L43) S31-P0079 (L43) S31-P0080 (L43)

Numbers

  • Value
    33%
    Context
    host-displayed closed-trade rate, denominator absent
    Ref
    S31-P0077 (L43)
    Source excerpt
    33% win rate

Strategy and regime

Concentration follows deep business understanding in his philosophy

S31 | Stan / Stan100X | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He favors long horizons, understanding owned businesses and concentration, attributing inspiration to famous investors. The sweeping claim that diversification is bad is his interpretation, not a demonstrated general rule. Near the end he explicitly suggests a small researched basket rather than instructing everyone to go all in.

ELI5: He wants to know a few businesses very well.

S31-P0039 (L43) S31-P0040 (L43) S31-P0041 (L43) S31-P0115 (L43)

Entries and execution

Depressed prices finally overcame his hesitation to begin

S31 | Stan / Stan100X | B: Reported experience

Attribution: highunverified self-report

After years contemplating investing, the COVID selloff looked like a margin of safety because he expected the disruption to pass. His reasoning was a valuation impression, not a documented discounted-cash-flow model. Cheapness did not prevent later losses.

ELI5: He started when fear made familiar assets look less expensive.

S31-P0043 (L43) S31-P0045 (L43) S31-P0046 (L43) S31-P0047 (L43)

Development

Early broad-market gains encouraged taking relatives savings

S31 | Stan / Stan100X | B: Reported experience

Attribution: highunverified self-report

He initially prospered during the post-COVID rise and parents then supplied savings. He explicitly does not recommend this. Their tolerance reduced perceived pressure, but he lost nearly all their money and intended to repay through work if necessary. Their willingness did not remove the financial exposure.

ELI5: Early success made a risky family commitment feel safer than it was.

S31-P0044 (L43) S31-P0051 (L43) S31-P0052 (L43) S31-P0056 (L43) S31-P0057 (L43) S31-P0058 (L43)

Numbers

  • Value
    160,000 euros
    Context
    approximate June/July 2021 peak
    Ref
    S31-P0051 (L43)
    Source excerpt
    160,000 euros

Sizing and exposure / Psychology and decisions

Warrant contract details caused a loss the business thesis did not anticipate

S31 | Stan / Stan100X | B: Reported experience

Attribution: highunverified self-report

He describes Rocket Lab SPAC warrants being redeemable after a price/time condition, with later stock price below the exercise price. He had not understood the redemption terms and recalls a rapid major position loss. His strike, trigger, timing and legal mechanics are recollections, not checked contract specifications.

ELI5: A good business thesis cannot replace reading the instrument terms.

S31-P0052 (L43) S31-P0053 (L43) S31-P0054 (L43) S31-P0055 (L43)

Numbers

  • Value
    $11
    Context
    recalled warrant strike, not verified
    Ref
    S31-P0053 (L43)
    Source excerpt
    strike price, which is $11
  • Value
    50k and 70%
    Context
    uncertain recalled loss and position impact
    Ref
    S31-P0055 (L43)
    Source excerpt
    I think I lost 50k
  • Value
    70%
    Context
    reported position loss
    Ref
    S31-P0055 (L43)
    Source excerpt
    70% of the position

Strategy and regime / Losses and survival

Revenge investing compounded the initial shock

S31 | Stan / Stan100X | B: Reported experience

Attribution: highunverified self-report

After the warrant loss he wanted the prior high balance and emotional rush back, repeatedly trying new trades. By January 2023 only a small remainder survived. This is distinct from patiently retaining a researched thesis.

ELI5: Trying to force the old peak back made the hole deeper.

S31-P0055 (L43) S31-P0056 (L43)

Losses and survival

Knowing economics academically did not prevent emotional misreading

S31 | Stan / Stan100X | B: Reported experience

Attribution: highunverified self-report

He had studied monetary policy but says personal gains blurred his recognition that liquidity helped the market. The later inflation-related downturn made the mechanism concrete. This is an admission that knowledge and implementation are separate.

ELI5: You can know the theory and still misread your own success.

S31-P0058 (L43) S31-P0059 (L43) S31-P0060 (L43) S31-P0064 (L43) S31-P0065 (L43)

Learning and review

Macro explanations are useful context but stated too mechanically

S31 | Stan / Stan100X | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He discusses discounting distant cash flows, interest rates and liquidity as drivers of growth-stock valuations. He says the goal is understanding rather than timing every cycle. His automatic-rate-to-price language and the host war-rebound generalizations are not validated causal forecasts.

ELI5: A background force is not a guaranteed price timetable.

S31-P0059 (L43) S31-P0060 (L43) S31-P0061 (L43) S31-P0062 (L43) S31-P0063 (L43) S31-P0064 (L43) S31-P0106 (L43) S31-P0107 (L43)

Psychology and decisions

A sound business can wait years for the market narrative

S31 | Stan / Stan100X | B: Reported experience

Attribution: highunverified self-report

Stan regrets buying before space attracted attention, observing that capital rotates toward fashionable themes. He also warns poor businesses can rise temporarily with a theme and later fade. Narrative timing and business quality are separate inputs in his account.

ELI5: A good company may not be the market favorite yet.

S31-P0066 (L43) S31-P0067 (L43) S31-P0068 (L43) S31-P0069 (L43)

Strategy and regime

Aston Martin began as a simple turnaround comparison

S31 | Stan / Stan100X | B: Reported experience

Attribution: highunverified self-report

New influential owners plus a large valuation gap versus Ferrari suggested a turnaround to him. He later recognizes that immediately loving or dismissing businesses is a mistake. The comparison was a thesis, not a properly normalized valuation or proof of future convergence.

ELI5: A famous buyer and a richer competitor are clues, not a completed valuation.

S31-P0070 (L43) S31-P0071 (L43) S31-P0072 (L43) S31-P0073 (L43)

Strategy and regime

Fundamental failure prompted the Aston Martin exit

S31 | Stan / Stan100X | B: Reported experience

Attribution: highunverified self-report

He expected operating improvement but saw delays, rising costs and debt not falling across earnings updates. He exited while shifting to Rocket Lab, avoiding a much worse hypothetical long hold. Price figures are split-affected recollections; no exact executed chronology is established.

ELI5: When the promised business improvement fails, reassess the holding.

S31-P0074 (L43) S31-P0075 (L43) S31-P0076 (L43)

Learning and review / Testing and automation

FOMO and an admired investor triggered a purchase before research

S31 | Stan / Stan100X | B: Reported experience

Attribution: highunverified self-report

Seeing Tesla gains while holding Aston Martin made him want his own exceptional winner. He bought Rocket Lab immediately after hearing an admired investor mention it, then researched. His belief that buying accelerates study is not evidence that research-after-purchase is safe.

ELI5: An emotional first purchase later became a researched position.

S31-P0081 (L43) S31-P0082 (L43) S31-P0083 (L43) S31-P0084 (L43)

Numbers

  • Value
    10K
    Context
    reported initial Rocket Lab purchase before research
    Ref
    S31-P0083 (L43)
    Source excerpt
    I dropped 10K

Strategy and regime

Quarterly execution evidence supported continuing conviction

S31 | Stan / Stan100X | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He repeatedly listened to CEO/CFO earnings calls, assessed track records and compared promises with delivery. Admiration for management was important, but charisma and a good feeling cannot independently establish competence. The operational follow-through is a more concrete part of his described process.

ELI5: Check whether management keeps doing what it said it would do.

S31-P0084 (L43) S31-P0085 (L43) S31-P0086 (L43) S31-P0088 (L43) S31-P0089 (L43) S31-P0090 (L43)

Strategy and regime

The space thesis combined technical barriers and a broader product business

S31 | Stan / Stan100X | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He saw repeated launch capability, a larger rocket plan and acquisitions expanding into space systems as a platform for growth. He contrasted newer firms with inefficient incumbents. Claimed market shares, contracts and industry superiority remain interview assertions; no filings were reviewed.

ELI5: He bet on both getting things to space and selling the parts needed there.

S31-P0088 (L43) S31-P0089 (L43) S31-P0090 (L43) S31-P0091 (L43) S31-P0092 (L43) S31-P0093 (L43) S31-P0094 (L43) S31-P0095 (L43)

Strategy and regime

Long sideways periods tested conviction before the winning move

S31 | Stan / Stan100X | B: Reported experience

Attribution: highunverified self-report

He describes substantial self-doubt during repeated price ranges, yet retained exposure because operating progress supported the thesis. His eventual success cannot prove that enduring any prolonged stagnation is wise. Aston Martin shows the separate need to invalidate a failing business thesis.

ELI5: Patience needs a continuing reason, not only a refusal to admit defeat.

S31-P0090 (L43) S31-P0096 (L43) S31-P0097 (L43) S31-P0074 (L43)

Exits and adjustments / Psychology and decisions / Learning and review

Dilution depends on value created with the new capital

S31 | Stan / Stan100X | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He welcomes financing when capable managers can turn it into much greater business value, while criticizing repeated fundraising with poor delivery. This is a conditional capital-allocation view. His billion-to-ten-billion example is hypothetical and does not establish per-share accretion after dilution.

ELI5: More shares can help only if the business value grows enough per share.

S31-P0098 (L43) S31-P0099 (L43) S31-P0100 (L43)

Sizing and exposure

The shift from shares to LEAPS added an expiry deadline

S31 | Stan / Stan100X | B: Reported experience

Attribution: highunverified self-report

Frustrated with sideways shares, he sold them and bought long-dated calls, describing a hero-or-zero decision. He reports 222 calls with a five-dollar strike costing 1.47 each as quoted option premium. Expiry, contract multiplier, rolls, fees and exact fill dates are missing, so the full return cannot be reconstructed.

ELI5: The same business bet gained leverage and a clock.

S31-P0101 (L43) S31-P0102 (L43)

Numbers

  • Value
    222
    Context
    reported call contract count
    Ref
    S31-P0102 (L43)
    Source excerpt
    222 leap options
  • Value
    $5
    Context
    reported strike
    Ref
    S31-P0102 (L43)
    Source excerpt
    $5 strike price
  • Value
    $1.47
    Context
    reported quoted option premium
    Ref
    S31-P0102 (L43)
    Source excerpt
    $1.47

Sizing and exposure

A large contract followed by a falling stock was his leverage catalyst

S31 | Stan / Stan100X | B: Reported experience

Attribution: highunverified self-report

He says a major contract announcement briefly lifted shares before they fell toward lows despite a relatively small market capitalization. He took this divergence as the moment to replace stock with calls. The contract-to-market-cap comparison ignores revenue timing, costs and probability unless separately modeled.

ELI5: He saw good business news and a weak share price as a mismatch.

S31-P0113 (L43) S31-P0114 (L43)

Numbers

  • Value
    $500 million
    Context
    reported contract size, unverified
    Ref
    S31-P0113 (L43)
    Source excerpt
    500 million
  • Value
    $2 billion
    Context
    reported company valuation then, unverified
    Ref
    S31-P0113 (L43)
    Source excerpt
    trading at 2 billion

Strategy and regime

He explicitly admits long-dated calls could have gone to zero

S31 | Stan / Stan100X | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Stan cautions the enthusiastic host that a longer macro downturn or company problem could have outlasted the options. He credits lucky timing and warns time decay could destroy the stake. This directly qualifies the host claim of guaranteed option profits.

ELI5: Long-dated does not mean safe from expiry.

S31-P0107 (L43) S31-P0108 (L43) S31-P0109 (L43)

Losses and survival

The host monthly option-loss approach is separate from Stan going all in

S31 | Analyst separating Stephen Johnson from Stan | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

Stephen describes spreading options across months with a stated maximum monthly expiry loss and additional equity trades. That is his approach, not Stan risk policy, and equity profits cannot guarantee covering option losses. Biotech and Google spread anecdotes also belong to the host.

ELI5: Do not assign the interviewer risk controls to the guest.

S31-P0103 (L43) S31-P0104 (L43) S31-P0105 (L43) S31-P0106 (L43) S31-P0107 (L43) S31-P0110 (L43) S31-P0111 (L43) S31-P0112 (L43)

Numbers

  • Value
    $1,500 to $2,000
    Context
    host stated monthly premium-loss exposure
    Ref
    S31-P0110 (L43)
    Source excerpt
    $1,500 $2,000

Losses and survival

Cutting failed businesses coexists with holding a successful thesis

S31 | Stan / Stan100X | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He names Virgin Galactic, Beyond Meat and OpenDoor as bad purchases and says to cut quickly once he no longer believes. That sits alongside long holding of Rocket Lab: the differentiator is subjective thesis belief, with no measurable invalidation framework supplied.

ELI5: Patience and exiting are both needed; the hard part is deciding which applies.

S31-P0111 (L43) S31-P0090 (L43) S31-P0096 (L43)

Losses and survival / Testing and automation

A deep drawdown occurred inside the spectacular winner

S31 | Stan / Stan100X | B: Reported experience

Attribution: highunverified self-report

He reports a tariff-period fall from 450 thousand euros to 113 thousand within a month while holding calls, without selling then. A final profitable outcome should not erase this interim capital exposure or imply the path was reproducible.

ELI5: A huge final win included a frightening loss of value on the way.

S31-P0116 (L43) S31-P0117 (L43) S31-P0118 (L43)

Numbers

  • Value
    450,000 to 113,000 euros
    Context
    reported one-month option-position value decline
    Ref
    S31-P0117 (L43)
    Source excerpt
    450,000
  • Value
    113,000 euros
    Context
    reported drawdown endpoint
    Ref
    S31-P0117 (L43)
    Source excerpt
    113,000

Losses and survival

He did take partial profits earlier despite the not-selling narrative

S31 | Stan / Stan100X | B: Reported experience

Attribution: highunverified self-report

After recovering to initial capital he panicked and sold roughly thirty percent, considering repaying parents and leaving markets. Later he regretted the foregone upside. His account therefore includes partial selling and should not be simplified into never selling anything.

ELI5: His long hold still included a partial exit when he reached break-even.

S31-P0118 (L43) S31-P0119 (L43)

Numbers

  • Value
    80,000 euros
    Context
    recovery level associated with partial sale
    Ref
    S31-P0118 (L43)
    Source excerpt
    80,000 euros
  • Value
    30%
    Context
    caption says saw; context indicates approximately sold
    Ref
    S31-P0118 (L43)
    Source excerpt
    maybe 30%

Strategy and regime

The final exit was a wealth milestone rather than a stated valuation target

S31 | Stan / Stan100X | B: Reported experience

Attribution: highunverified self-report

He sold around ninety when the account reached roughly one hundred times its trough, wanting to protect capital. The stock later rose further according to the discussion. This is an account-level satisfaction decision, not a repeatable corporate valuation exit rule.

ELI5: He sold because the gain changed his life, not because a formula said fair value.

S31-P0101 (L43) S31-P0119 (L43) S31-P0120 (L43)

Numbers

  • Value
    90
    Context
    reported stock-price area at exit
    Ref
    S31-P0101 (L43)
    Source excerpt
    sold around 90
  • Value
    1.4 million euros
    Context
    reported milestone
    Ref
    S31-P0120 (L43)
    Source excerpt
    1.4 million euros
  • Value
    100x
    Context
    relative to trough, not full contributed capital
    Ref
    S31-P0120 (L43)
    Source excerpt
    100x my money

Exits and adjustments / Sizing and exposure

His closing advice is narrower than his personal concentration

S31 | Stan / Stan100X | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He recommends understanding a small basket and explicitly does not tell listeners to put everything in one stock. Yet he acknowledges his own tendency to become all in again when something seems cheap and understood. This is a stated personality risk, not a scalable universal rule.

ELI5: His personal habit is more concentrated than his advice.

S31-P0115 (L43) S31-P0122 (L43) S31-P0123 (L43)

Numbers

  • Value
    five maximum
    Context
    suggested researched basket size
    Ref
    S31-P0115 (L43)
    Source excerpt
    Make it five top

Entries and execution / Evidence and limitations

The next Reddit thesis is an unvalidated forward-looking idea

S31 | Stan / Stan100X | B: Reported experience

Attribution: highunverified self-report

He is buying in chunks but expects possible full concentration, sees authentic communities as valuable amid AI content, and anticipates higher international monetization and data-licensing revenue. Claimed usage-based renegotiations and revenue figures are not verified. He allows macro conditions could push shares lower; this is not a recommendation from this research.

ELI5: The next idea has a story, not the proof of the last winner.

S31-P0121 (L43) S31-P0122 (L43) S31-P0123 (L43) S31-P0124 (L43) S31-P0125 (L43) S31-P0126 (L43) S31-P0127 (L43) S31-P0128 (L43) S31-P0129 (L43)

Numbers

  • Value
    $9 versus $2
    Context
    claimed regional user monetization comparison, timeframe absent
    Ref
    S31-P0125 (L43)
    Source excerpt
    $9 per user
  • Value
    $2
    Context
    claimed non-US user monetization
    Ref
    S31-P0125 (L43)
    Source excerpt
    $2 per user
  • Value
    $60 million per year
    Context
    claimed old licensing contract, unverified
    Ref
    S31-P0126 (L43)
    Source excerpt
    60 million per year

Evidence and limitations

Recent puts show revenge instincts persisted after the big success

S31 | Stan / Stan100X | B: Reported experience

Attribution: highunverified self-report

He admits buying puts after selling Rocket Lab as it rose, hoping to finance reentry. He labels that a bad idea. Financial success did not eliminate the same urge to recoup missed opportunity that damaged the earlier account.

ELI5: A millionaire can still repeat the same emotional mistake.

S31-P0077 (L43) S31-P0079 (L43) S31-P0080 (L43)

Strategy and regime

Institutional execution taught flow rather than directional speculation

S32 | Lucas Marin | B: Reported experience

Attribution: highunverified self-report

His prior job involved filling client orders with limited market impact, not generating personal trading profit. Large participation relative to daily volume made execution and information leakage important. He sees this background as informing current attention to flow but it did not make his personal Brazilian trading profitable.

ELI5: Buying a big order quietly is a different job from predicting a stock.

S32-P0043 (L50) S32-P0044 (L50) S32-P0045 (L50) S32-P0048 (L50)

Development

An algorithm reacting to a block print produced unintended market impact

S32 | Lucas Marin | B: Reported experience

Attribution: highunverified self-report

He recalls a participation algorithm trying to buy its share of a large print and sweeping available offers, causing a sharp rise and halt. This is his historical anecdote, not evidence every spike is algorithmic error. It illustrates why visible price is produced by execution constraints as well as opinions.

ELI5: A big price move can come from how an order gets filled.

S32-P0046 (L50) S32-P0047 (L50)

Numbers

  • Value
    20%
    Context
    historical participation instruction
    Ref
    S32-P0046 (L50)
    Source excerpt
    20% of the volume
  • Value
    6%
    Context
    reported induced stock move
    Ref
    S32-P0047 (L50)
    Source excerpt
    stock went up 6%

Entries and execution

A lucky PETZ entry attracted him to US small caps

S32 | Lucas Marin | B: Reported experience

Attribution: highunverified self-report

He bought just before the close after screening deeply fallen stocks and unexpectedly saw an after-hours jump. He did not even understand extended-hours trading then. His down-most-of-the-way asymmetric-risk rationale ignores that a low-priced equity can still lose its entire remaining value; it is preserved as beginner reasoning.

ELI5: A lucky first win was not a tested edge.

S32-P0048 (L50) S32-P0049 (L50) S32-P0050 (L50) S32-P0051 (L50)

Numbers

  • Value
    $1,000
    Context
    reported PETZ stake
    Ref
    S32-P0050 (L50)
    Source excerpt
    $1,000
  • Value
    200%
    Context
    reported after-hours move
    Ref
    S32-P0050 (L50)
    Source excerpt
    running 200%
  • Value
    $2,000
    Context
    reported profit
    Ref
    S32-P0050 (L50)
    Source excerpt
    made $2,000

Learning and review

His path shifted from OTC longs to shorts and extended sessions

S32 | Lucas Marin | B: Reported experience

Attribution: highunverified self-report

He learned through a trading course, initially traded OTC longs, then changed as those opportunities diminished. Premarket and after-hours trading developed with peers including David Capablanca. Dates around the move to US accounts conflict in the captions and should remain approximate.

ELI5: His eventual specialty followed several earlier approaches.

S32-P0048 (L50) S32-P0051 (L50) S32-P0052 (L50) S32-P0054 (L50) S32-P0072 (L50) S32-P0073 (L50)

Strategy and regime

High win rate hid an unacceptable loss-size distribution

S32 | Lucas Marin | B: Reported experience

Attribution: highunverified self-report

Early shorts won often but large squeezes offset gains. He describes tolerating five-thousand-dollar losses while often earning only one hundred, and feared the next day could end his career. Escaping squeezed trades sometimes reinforced the wrong behavior.

ELI5: Many small wins cannot reliably pay for enormous losses.

S32-P0052 (L50) S32-P0053 (L50) S32-P0054 (L50) S32-P0061 (L50) S32-P0062 (L50) S32-P0074 (L50) S32-P0075 (L50)

Numbers

  • Value
    $100 versus $5,000
    Context
    self-described poor payoff asymmetry
    Ref
    S32-P0062 (L50)
    Source excerpt
    making $100 to lose 5,000

Losses and survival

The LPA squeeze endangered both accounts at once

S32 | Lucas Marin | B: Reported experience

Attribution: highunverified self-report

He shorted LPA in two accounts, froze through repeated halts and closed the computer while hoping for a reversal. The next premarket decline reduced the damage, but he still took a major loss and credits luck for surviving. The entry caption contains conflicting 300 / 30 values; do not choose a precise fill.

ELI5: Two accounts holding the same bad short are one combined risk.

S32-P0062 (L50) S32-P0063 (L50)

Numbers

  • Value
    600
    Context
    reported overnight price area
    Ref
    S32-P0063 (L50)
    Source excerpt
    closed at 600
  • Value
    400 then 100
    Context
    reported next-session path
    Ref
    S32-P0063 (L50)
    Source excerpt
    open in 400 and it went down to 100

Sizing and exposure / Losses and survival

Full-time freedom also created withdrawal and income pressure

S32 | Lucas Marin | B: Reported experience

Attribution: highunverified self-report

He funded extended travel with trading but found that paying bills from the account impaired willingness to stop losses. The lifestyle identity was rewarding even when risk management was weak. He later distinguishes profitability from the status of being full-time.

ELI5: Depending on the next trade for rent can make a loss harder to accept.

S32-P0055 (L50) S32-P0056 (L50) S32-P0057 (L50) S32-P0081 (L50) S32-P0082 (L50) S32-P0083 (L50)

Numbers

  • Value
    27 countries in two years
    Context
    reported travel period
    Ref
    S32-P0056 (L50)
    Source excerpt
    27 countries in two years

Lifestyle and constraints

Returning to employment changed his ability to accept losses

S32 | Lucas Marin | B: Reported experience

Attribution: highunverified self-report

He returned to Brazil, reorganized routines and took steady work so bills were covered. He explicitly attributes the psychological change to outside income: losses no longer represented lost weeks of living expenses. This is his experience, not a guaranteed result of employment.

ELI5: A paycheck made it easier to treat trades as probabilities.

S32-P0064 (L50) S32-P0065 (L50) S32-P0066 (L50) S32-P0076 (L50) S32-P0118 (L50) S32-P0119 (L50)

Losses and survival / Psychology and decisions

Session-level data replaced leaderboard identity with a usable specialty

S32 | Lucas Marin | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Earlier platform use centered on rank, which looked flattering when the user base was small. Later he used session stats to identify stronger premarket and especially after-hours results. Rank changes with who participates and is not a stable measure of skill.

ELI5: Your best trading hours teach more than your leaderboard position.

S32-P0058 (L50) S32-P0059 (L50) S32-P0074 (L50) S32-P0075 (L50) S32-P0076 (L50)

Strategy and regime / Learning and review / Evidence and limitations

After-hours trading fit both evidence and his work schedule

S32 | Lucas Marin | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Brazilian end-of-work timing aligned with the US regular close in the period described, enabling consistent part-time execution. The host notes an exceptional regular-session BYND trade, so only-after-hours is not literal without exception. Timezone and daylight-saving alignment are historical context, not a permanent schedule rule.

ELI5: He chose a session he could trade well and attend reliably.

S32-P0041 (L50) S32-P0076 (L50)

Learning and review

Sizing increased only after stop placement became structurally clear

S32 | Lucas Marin | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Previously a money-loss tolerance substituted for a chart location, leaving him fearful of scaling. The later approach identifies where the setup is wrong and sizes around that reference. Knowing a planned stop does not guarantee the fill in thin after-hours markets.

ELI5: A clear exit level made larger planned trades less ambiguous.

S32-P0074 (L50) S32-P0075 (L50) S32-P0078 (L50) S32-P0079 (L50) S32-P0080 (L50) S32-P0115 (L50)

Sizing and exposure / Testing and automation

The same price can offer different risk after a reversal

S32 | Lucas Marin | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

His right-side-of-the-V concept means shorting a level after the stock has shown weakness, instead of first shorting it on the ascent. A known prior high and trapped-long zone create a reference for invalidation. The named V should not be converted into an invented geometric formula; the chart itself is absent.

ELI5: The second visit to a price can reveal more than the first.

S32-P0078 (L50) S32-P0079 (L50) S32-P0080 (L50)

Entries and execution

A stopped trade does not ban a later valid entry

S32 | Lucas Marin | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He now exits faster and can return minutes later when a better structure develops. Previously he treated a stop as the end of the symbol or day. This is a new setup decision, not permission to immediately chase revenge entries.

ELI5: You can be early once and still wait for a better opportunity.

S32-P0076 (L50) S32-P0077 (L50) S32-P0105 (L50) S32-P0106 (L50) S32-P0107 (L50)

Entries and execution / Psychology and decisions

Outside income is not a failure of trading ambition

S32 | Lucas Marin | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He rejects the idea that part-time trading makes someone inferior and notes one cannot infer hidden wealth or other revenue from social-media freedom. This matches his shift from proving a lifestyle to protecting and improving performance.

ELI5: Being profitable matters more than calling yourself full-time.

S32-P0081 (L50) S32-P0082 (L50) S32-P0083 (L50) S32-P0126 (L50)

Development

Institutional anecdotes should remain hypotheses, not market rules

S32 | Lucas Marin | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He says a clearing firm described forced liquidation above exposure thresholds and speculates that some explosive after-hours moves are forced covers. He explicitly does not know whether this explains SMX. His separate assertion that buybacks occur only in the final hour is unsupported and should not become a trading rule.

ELI5: A plausible explanation for a spike still needs evidence.

S32-P0083 (L50) S32-P0084 (L50) S32-P0085 (L50) S32-P0086 (L50) S32-P0087 (L50)

Psychology and decisions

Forced-cover spike reversal is a conditional after-hours subsetup

S32 | Lucas Marin | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He likes sharp late spikes believed to reflect forced short liquidation, then still waits for backside structure. He sometimes increases size, especially when float is less extreme, but supplies no safe exposure formula. A mistaken causal story can be dangerous if new buyers continue the squeeze.

ELI5: Even a suspected forced spike needs a reversal and a risk limit.

S32-P0085 (L50) S32-P0086 (L50) S32-P0087 (L50) S32-P0088 (L50)

Numbers

  • Value
    double or triple size
    Context
    reported discretionary increase for favored subsetup
    Ref
    S32-P0088 (L50)
    Source excerpt
    double triple size

Sizing and exposure

The second lower-high bounce may be preferable to the first

S32 | Lucas Marin | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

In the WBUY-like chart example he says the first reversal is riskier and the second bounce with lower highs/lows offers better expected value. He trades both; therefore second-bounce-only is not his rule. Chart-dependent this/here references prevent exact entry reconstruction.

ELI5: More failed rebound evidence can reduce ambiguity, though it may give less room.

S32-P0090 (L50) S32-P0091 (L50) S32-P0092 (L50) S32-P0093 (L50) S32-P0094 (L50)

Entries and execution

Fundamental conviction needed more technical restraint

S32 | Lucas Marin | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He says he used to lean heavily on fundamentals and remain squeezed because the stock should eventually fall. He increased the technical role, still preferring no-news runners; real news brings smaller size and more confirmed entries. The weights are qualitative self-description, not model coefficients.

ELI5: A weak company can still have a strong stock that hurts a short.

S32-P0094 (L50) S32-P0095 (L50)

Numbers

  • Value
    80% fundamental and 20% technical
    Context
    reported former emphasis
    Ref
    S32-P0094 (L50)
    Source excerpt
    80% fundamental 20% technical
  • Value
    40% technical
    Context
    later stated minimum technical emphasis
    Ref
    S32-P0095 (L50)
    Source excerpt
    40% technical

Entries and execution

His adding-to-winners example uses earned cushion and a fixed exit reference

S32 | Lucas Marin | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

After capturing an initial move, he re-shorts or adds lower, reducing the average short price while increasing size. He intends a stop to surrender only earlier profits. The exact realized/unrealized composition is unclear; prior profits are still capital, and slippage can exceed the intended giveback.

ELI5: More shares need a new calculation of what the stop will cost.

S32-P0096 (L50) S32-P0097 (L50)

Losses and survival

A sharp failure candle identifies potentially trapped buyers

S32 | Lucas Marin | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He looks for a fast downward move after a no-news rise, then a bounce near the failure zone. He interprets recent breakout buyers as vulnerable and prepares a short with nearby invalidation, sometimes reserving size for a double-top attempt. This is an inferred positioning story, not direct knowledge of all holders.

ELI5: A failed breakout can leave buyers hoping for an exit.

S32-P0102 (L50) S32-P0103 (L50) S32-P0104 (L50) S32-P0105 (L50) S32-P0110 (L50)

Numbers

  • Value
    5% to 6%
    Context
    example price-distance risk, not account fraction
    Ref
    S32-P0104 (L50)
    Source excerpt
    5%, 6%
  • Value
    22% to 26%
    Context
    example possible price move, not guaranteed payoff
    Ref
    S32-P0104 (L50)
    Source excerpt
    22 26%

Strategy and regime

Exit hotkeys reduce the behavioral friction of stopping

S32 | Lucas Marin | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He uses a one-action full-position cover order priced at ask plus a chosen cent offset. Reducing selection and typing steps makes an emotional loss easier to execute. The offset, route, fills and slippage are not specified; it is not a guaranteed market exit.

ELI5: Fewer clicks can make a planned exit easier to carry out.

S32-P0105 (L50) S32-P0106 (L50)

Entries and execution

Daily resistance can support the intraday failure structure

S32 | Lucas Marin | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He checks daily chart resistance to build confidence after the crack. It is supporting context, not an independent short signal or license to short before failure. Exact lookback and level definitions are absent.

ELI5: A bigger-picture barrier can strengthen the short-term setup.

S32-P0107 (L50)

Strategy and regime

SMX illustrates a good pain location with bad tradable risk

S32 | Lucas Marin | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He rejects a roughly thirty-percent stop distance even where trapped buyers are apparent, preferring smaller price risk relative to potential reward. He acknowledges having made a risky trade and uses the example partly as what not to do. Float, news, liquidity and range interact, preventing a single simple automated rule.

ELI5: A convincing setup can still be too expensive to be wrong on.

S32-P0108 (L50) S32-P0109 (L50) S32-P0110 (L50) S32-P0111 (L50)

Numbers

  • Value
    30%
    Context
    example unacceptable position-price risk
    Ref
    S32-P0109 (L50)
    Source excerpt
    lose 30% of my position
  • Value
    5% to 10% for 20%
    Context
    stated preferred price-risk/reward range, not account allocation
    Ref
    S32-P0109 (L50)
    Source excerpt
    lose five 10 max to make 20

Losses and survival

Adding liquidity and platform ergonomics are execution factors with incentives

S32 | Lucas Marin | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He mentions ECN rebates and demonstrates quick orders in Black Arrow, while disclosing his work helping the platform enter the US market. Broker integrations, prices, client counts and developer claims are promotional and historical; they do not prove strategy effectiveness or current availability.

ELI5: A useful tool demo can also be a sales presentation.

S32-P0089 (L50) S32-P0097 (L50) S32-P0098 (L50) S32-P0099 (L50) S32-P0100 (L50) S32-P0120 (L50) S32-P0121 (L50) S32-P0122 (L50) S32-P0123 (L50)

Strategy and regime

Headline recent profit compresses a much longer learning curve

S32 | Lucas Marin | B: Reported experience

Attribution: highunverified self-report

The three-month gain sits within years of personal trading, failed Brazilian attempts, institutional experience and recent changes. His later breakthrough took around three years in the relevant learning discussion. A six-thousand start is reported but deposits, withdrawals and time-weighted return are not reconstructed.

ELI5: The latest fast gain was preceded by a long uneven apprenticeship.

S32-P0043 (L50) S32-P0048 (L50) S32-P0081 (L50) S32-P0112 (L50) S32-P0113 (L50) S32-P0115 (L50) S32-P0116 (L50)

Numbers

  • Value
    $100,000 in three months
    Context
    reported recent gain
    Ref
    S32-P0081 (L50)
    Source excerpt
    $100,000 in three months
  • Value
    $6,000
    Context
    reported initial balance
    Ref
    S32-P0112 (L50)
    Source excerpt
    $6,000
  • Value
    three years
    Context
    reported time to breakthrough
    Ref
    S32-P0116 (L50)
    Source excerpt
    three years

Evidence and limitations

Studying the opposite side helps explain where traders may be trapped

S32 | Lucas Marin | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He studies long trader MightyStocks, Alex Temiz, Lance and Kyle reviews, trying to understand the decisions behind opposing order flow. He learned the V concept from Lance material. These are learning influences, not proof all buyers at a level have the same intent.

ELI5: Learn why the trader opposite you might need to exit.

S32-P0077 (L50) S32-P0078 (L50) S32-P0103 (L50) S32-P0119 (L50) S32-P0120 (L50) S32-P0124 (L50)

Learning and review

Knowing a rule and being ready to use it are different stages

S32 | Lucas Marin | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

The discussion emphasizes repeated exposure, screen time, maturity and a supportive income setup before old risk ideas finally clicked. His advice is ongoing learning and consistency rather than rapid wealth. The host sobriety story belongs to Stephen, not Lucas.

ELI5: A lesson becomes useful when your behavior can follow it.

S32-P0069 (L50) S32-P0070 (L50) S32-P0115 (L50) S32-P0116 (L50) S32-P0117 (L50) S32-P0118 (L50) S32-P0124 (L50) S32-P0125 (L50) S32-P0126 (L50)

Learning and review

Recent profit followed a long inconsistent learning period

S33 | Zoo (captioned name; spelling not independently established) | B: Reported experience

Attribution: highunverified self-report

He began around 2011, describes repeated account failures and inconsistent early years, and only modest consistent profitability around 2019-2020 before later improvement. The host reports large recent and lifetime gains, but this is not an audited cash-flow-adjusted record.

ELI5: The recent success was not a quick beginner result.

S33-P0031 (00:01:08.040 --> 00:01:11.830) S33-P0032 (00:01:11.840 --> 00:01:14.350) S33-P0033 (00:01:14.360 --> 00:01:19.270) S33-P0034 (00:01:19.280 --> 00:01:24.230) S33-P0035 (00:01:24.240 --> 00:01:25.950) S33-P0036 (00:01:25.960 --> 00:01:29.830) S33-P0037 (00:01:29.840 --> 00:01:31.830) S33-P0038 (00:01:31.840 --> 00:01:34.149) S33-P0039 (00:01:34.159 --> 00:01:38.030) S33-P0040 (00:01:38.040 --> 00:01:41.270) S33-P0041 (00:01:41.280 --> 00:01:45.910) S33-P0042 (00:01:45.920 --> 00:01:49.830) S33-P0043 (00:01:49.840 --> 00:01:55.149) S33-P0044 (00:01:55.159 --> 00:02:01.030) S33-P0045 (00:02:01.040 --> 00:02:03.190) S33-P0046 (00:02:03.200 --> 00:02:05.350) S33-P0047 (00:02:05.360 --> 00:02:07.510) S33-P0048 (00:02:07.520 --> 00:02:11.670) S33-P0049 (00:02:11.680 --> 00:02:13.309) S33-P0050 (00:02:13.319 --> 00:02:18.630) S33-P0018 (00:00:38.680 --> 00:00:40.910) S33-P0019 (00:00:40.920 --> 00:00:43.350) S33-P0020 (00:00:43.360 --> 00:00:44.350) S33-P0021 (00:00:44.360 --> 00:00:45.869) S33-P0022 (00:00:45.879 --> 00:00:48.310)

Numbers

Development

Crypto experience changed his emotional reference point

S33 | Zoo (captioned name; spelling not independently established) | B: Reported experience

Attribution: highunverified self-report

After leaving finance for entrepreneurship and crypto work, he gained then lost substantial crypto profits during the downturn. Back in equities, smaller daily movements felt less threatening, helping him avoid reacting to every tick. More risk tolerance is a personal adaptation, not evidence that taking larger risks improves edge.

ELI5: After extreme volatility, ordinary moves felt easier to tolerate.

S33-P0044 (00:01:55.159 --> 00:02:01.030) S33-P0045 (00:02:01.040 --> 00:02:03.190) S33-P0046 (00:02:03.200 --> 00:02:05.350) S33-P0047 (00:02:05.360 --> 00:02:07.510) S33-P0048 (00:02:07.520 --> 00:02:11.670) S33-P0049 (00:02:11.680 --> 00:02:13.309) S33-P0050 (00:02:13.319 --> 00:02:18.630) S33-P0051 (00:02:18.640 --> 00:02:20.510) S33-P0052 (00:02:20.520 --> 00:02:23.430) S33-P0053 (00:02:23.440 --> 00:02:25.990) S33-P0054 (00:02:26.000 --> 00:02:28.070) S33-P0055 (00:02:28.080 --> 00:02:30.949) S33-P0056 (00:02:30.959 --> 00:02:34.270) S33-P0057 (00:02:34.280 --> 00:02:38.710) S33-P0058 (00:02:38.720 --> 00:02:42.869) S33-P0059 (00:02:42.879 --> 00:02:47.030) S33-P0060 (00:02:47.040 --> 00:02:50.030) S33-P0061 (00:02:50.040 --> 00:02:52.390) S33-P0062 (00:02:52.400 --> 00:02:54.710) S33-P0063 (00:02:54.720 --> 00:02:57.430) S33-P0064 (00:02:57.440 --> 00:03:02.190) S33-P0065 (00:03:02.200 --> 00:03:05.270) S33-P0066 (00:03:05.280 --> 00:03:06.309) S33-P0067 (00:03:06.319 --> 00:03:08.869) S33-P0068 (00:03:08.879 --> 00:03:10.710) S33-P0069 (00:03:10.720 --> 00:03:12.670) S33-P0070 (00:03:12.680 --> 00:03:14.190) S33-P0071 (00:03:14.200 --> 00:03:19.589) S33-P0072 (00:03:19.599 --> 00:03:21.149) S33-P0073 (00:03:21.159 --> 00:03:24.190) S33-P0074 (00:03:24.200 --> 00:03:26.910) S33-P0075 (00:03:26.920 --> 00:03:31.030) S33-P0076 (00:03:31.040 --> 00:03:33.990) S33-P0077 (00:03:34.000 --> 00:03:37.670) S33-P0078 (00:03:37.680 --> 00:03:40.270) S33-P0079 (00:03:40.280 --> 00:03:43.470) S33-P0080 (00:03:43.480 --> 00:03:46.390) S33-P0081 (00:03:46.400 --> 00:03:51.190) S33-P0082 (00:03:51.200 --> 00:03:55.910) S33-P0083 (00:03:55.920 --> 00:03:58.630) S33-P0084 (00:03:58.640 --> 00:04:01.110) S33-P0085 (00:04:01.120 --> 00:04:03.589) S33-P0086 (00:04:03.599 --> 00:04:08.589)

Losses and survival / Psychology and decisions

Journaling improved implementation of familiar strategies

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He says his current patterns are not radically different from earlier ones. The changes were confronting recorded mistakes, approaching entries methodically and identifying market environments where he performs better. The account is not merely psychology with no selection process.

ELI5: He changed how and when he used the method, not just its name.

S33-P0104 (00:04:50.840 --> 00:04:55.110) S33-P0105 (00:04:55.120 --> 00:04:58.950) S33-P0106 (00:04:58.960 --> 00:05:01.830) S33-P0107 (00:05:01.840 --> 00:05:03.990) S33-P0108 (00:05:04.000 --> 00:05:06.070) S33-P0109 (00:05:06.080 --> 00:05:09.830) S33-P0110 (00:05:09.840 --> 00:05:13.950) S33-P0111 (00:05:13.960 --> 00:05:20.070) S33-P0112 (00:05:20.080 --> 00:05:23.990) S33-P0113 (00:05:24.000 --> 00:05:27.270) S33-P0114 (00:05:27.280 --> 00:05:30.150) S33-P0115 (00:05:30.160 --> 00:05:32.790) S33-P0116 (00:05:32.800 --> 00:05:36.790) S33-P0117 (00:05:36.800 --> 00:05:41.990) S33-P0118 (00:05:42.000 --> 00:05:44.390) S33-P0119 (00:05:44.400 --> 00:05:47.990) S33-P0120 (00:05:48.000 --> 00:05:50.870) S33-P0121 (00:05:50.880 --> 00:05:53.670) S33-P0122 (00:05:53.680 --> 00:05:55.909) S33-P0123 (00:05:55.919 --> 00:05:59.350) S33-P0124 (00:05:59.360 --> 00:06:02.390) S33-P0125 (00:06:02.400 --> 00:06:05.270) S33-P0126 (00:06:05.280 --> 00:06:07.029) S33-P0127 (00:06:07.039 --> 00:06:09.950) S33-P0128 (00:06:09.960 --> 00:06:12.469) S33-P0129 (00:06:12.479 --> 00:06:14.230) S33-P0130 (00:06:14.240 --> 00:06:18.070) S33-P0131 (00:06:18.080 --> 00:06:21.070) S33-P0132 (00:06:21.080 --> 00:06:24.590) S33-P0133 (00:06:24.600 --> 00:06:26.350) S33-P0134 (00:06:26.360 --> 00:06:29.590) S33-P0135 (00:06:29.600 --> 00:06:33.110) S33-P0136 (00:06:33.120 --> 00:06:36.270) S33-P0137 (00:06:36.280 --> 00:06:40.230) S33-P0138 (00:06:40.240 --> 00:06:41.749) S33-P0139 (00:06:41.759 --> 00:06:44.309) S33-P0140 (00:06:44.319 --> 00:06:47.510) S33-P0141 (00:06:47.520 --> 00:06:49.670) S33-P0142 (00:06:49.680 --> 00:06:53.749) S33-P0143 (00:06:53.759 --> 00:06:55.749) S33-P0144 (00:06:55.759 --> 00:06:58.150) S33-P0145 (00:06:58.160 --> 00:07:01.029) S33-P0146 (00:07:01.039 --> 00:07:02.230)

Strategy and regime / Learning and review

A portfolio stop interrupts broad drawdowns regardless of their explanation

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He liquidates all positions after a loss in a stated ten-to-fifteen-percent range with twenty percent as a maximum and pauses for days or weeks. The exact anchor, valuation timing and choice within that range are not specified; do not turn it into a single precise automatic threshold.

ELI5: When the whole account falls too far, he clears the table and stops.

S33-P0201 (00:08:57.959 --> 00:09:01.590) S33-P0202 (00:09:01.600 --> 00:09:02.829) S33-P0203 (00:09:02.839 --> 00:09:06.070) S33-P0204 (00:09:06.080 --> 00:09:08.990) S33-P0205 (00:09:09.000 --> 00:09:13.190) S33-P0206 (00:09:13.200 --> 00:09:16.269) S33-P0207 (00:09:16.279 --> 00:09:19.030) S33-P0208 (00:09:19.040 --> 00:09:21.910) S33-P0209 (00:09:21.920 --> 00:09:24.870) S33-P0210 (00:09:24.880 --> 00:09:28.110) S33-P0211 (00:09:28.120 --> 00:09:33.630) S33-P0212 (00:09:33.640 --> 00:09:37.750) S33-P0213 (00:09:37.760 --> 00:09:41.750) S33-P0214 (00:09:41.760 --> 00:09:44.389) S33-P0215 (00:09:44.399 --> 00:09:46.630) S33-P0216 (00:09:46.640 --> 00:09:48.550) S33-P0217 (00:09:48.560 --> 00:09:51.430) S33-P0218 (00:09:51.440 --> 00:09:54.030)

Numbers

Losses and survival

Flat periods on the profit curve can represent deliberate risk control

S33 | Zoo (captioned name; spelling not independently established) | B: Reported experience

Attribution: highunverified self-report

He identifies the first clear use around April 2024 and later repeated stops, followed by recoveries. Previously he often surrendered gains without that mechanism. These examples support his personal experience but do not isolate the causal benefit versus simply favorable subsequent markets.

ELI5: A flat curve can mean the trader chose to protect money.

S33-P0220 (00:09:56.040 --> 00:09:59.910) S33-P0221 (00:09:59.920 --> 00:10:04.630) S33-P0222 (00:10:04.640 --> 00:10:07.190) S33-P0223 (00:10:07.200 --> 00:10:12.310) S33-P0224 (00:10:12.320 --> 00:10:15.910) S33-P0225 (00:10:15.920 --> 00:10:17.949) S33-P0226 (00:10:17.959 --> 00:10:23.670) S33-P0227 (00:10:23.680 --> 00:10:25.910) S33-P0228 (00:10:25.920 --> 00:10:28.870) S33-P0229 (00:10:28.880 --> 00:10:31.790) S33-P0230 (00:10:31.800 --> 00:10:35.350) S33-P0231 (00:10:35.360 --> 00:10:37.670) S33-P0232 (00:10:37.680 --> 00:10:40.790) S33-P0233 (00:10:40.800 --> 00:10:47.310) S33-P0234 (00:10:47.320 --> 00:10:50.269) S33-P0235 (00:10:50.279 --> 00:10:52.990) S33-P0236 (00:10:53.000 --> 00:10:57.030) S33-P0237 (00:10:57.040 --> 00:10:59.269) S33-P0238 (00:10:59.279 --> 00:11:02.470) S33-P0239 (00:11:02.480 --> 00:11:05.230) S33-P0271 (00:12:35.600 --> 00:12:39.190) S33-P0272 (00:12:39.200 --> 00:12:41.990) S33-P0273 (00:12:42.000 --> 00:12:43.710) S33-P0274 (00:12:43.720 --> 00:12:45.310) S33-P0275 (00:12:45.320 --> 00:12:48.310) S33-P0276 (00:12:48.320 --> 00:12:50.310) S33-P0277 (00:12:50.320 --> 00:12:53.790) S33-P0278 (00:12:53.800 --> 00:12:57.269) S33-P0279 (00:12:57.279 --> 00:13:01.230)

Losses and survival / Learning and review

Defense is directed at his own harmful behavior

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He emphasizes protecting capital when he is not performing well rather than blaming institutions or algorithms for every loss. This is an accountability framework, not proof external liquidity and execution risks never matter.

ELI5: Control your decisions before inventing an enemy.

S33-P0242 (00:11:13.880 --> 00:11:16.910) S33-P0243 (00:11:16.920 --> 00:11:20.230) S33-P0244 (00:11:20.240 --> 00:11:22.710) S33-P0245 (00:11:22.720 --> 00:11:25.190) S33-P0246 (00:11:25.200 --> 00:11:27.870) S33-P0247 (00:11:27.880 --> 00:11:31.509) S33-P0248 (00:11:31.519 --> 00:11:34.750) S33-P0249 (00:11:34.760 --> 00:11:39.310) S33-P0250 (00:11:39.320 --> 00:11:42.630) S33-P0251 (00:11:42.640 --> 00:11:45.350) S33-P0252 (00:11:45.360 --> 00:11:46.430) S33-P0253 (00:11:46.440 --> 00:11:49.550) S33-P0254 (00:11:49.560 --> 00:11:52.389) S33-P0255 (00:11:52.399 --> 00:11:55.430) S33-P0256 (00:11:55.440 --> 00:11:57.030) S33-P0257 (00:11:57.040 --> 00:11:58.870) S33-P0258 (00:11:58.880 --> 00:12:00.750) S33-P0259 (00:12:00.760 --> 00:12:04.150) S33-P0260 (00:12:04.160 --> 00:12:06.310) S33-P0261 (00:12:06.320 --> 00:12:10.069) S33-P0262 (00:12:10.079 --> 00:12:12.470) S33-P0263 (00:12:12.480 --> 00:12:15.430) S33-P0264 (00:12:15.440 --> 00:12:18.230) S33-P0265 (00:12:18.240 --> 00:12:21.350) S33-P0266 (00:12:21.360 --> 00:12:22.949) S33-P0267 (00:12:22.959 --> 00:12:26.949) S33-P0268 (00:12:26.959 --> 00:12:30.230) S33-P0269 (00:12:30.240 --> 00:12:32.629) S33-P0270 (00:12:32.639 --> 00:12:35.590) S33-P0271 (00:12:35.600 --> 00:12:39.190)

Losses and survival

Scaling the account created a separate psychological problem

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Percentage-based sizing did not remove the discomfort of seeing much larger dollar swings after the account grew. He remains in a learning phase around size rather than claiming the problem is solved. This distinction matters when extrapolating past returns to larger capital.

ELI5: The same percentage can feel very different in dollars.

S33-P0280 (00:13:01.240 --> 00:13:06.190) S33-P0281 (00:13:06.200 --> 00:13:12.230) S33-P0282 (00:13:12.240 --> 00:13:15.550) S33-P0283 (00:13:15.560 --> 00:13:18.710) S33-P0284 (00:13:18.720 --> 00:13:19.629) S33-P0285 (00:13:19.639 --> 00:13:22.670) S33-P0286 (00:13:22.680 --> 00:13:25.430) S33-P0287 (00:13:25.440 --> 00:13:28.550) S33-P0288 (00:13:28.560 --> 00:13:32.389) S33-P0289 (00:13:32.399 --> 00:13:35.990) S33-P0290 (00:13:36.000 --> 00:13:37.430) S33-P0291 (00:13:37.440 --> 00:13:39.829) S33-P0292 (00:13:39.839 --> 00:13:42.629) S33-P0293 (00:13:42.639 --> 00:13:46.150) S33-P0294 (00:13:46.160 --> 00:13:49.190) S33-P0295 (00:13:49.200 --> 00:13:51.150) S33-P0296 (00:13:51.160 --> 00:13:54.670) S33-P0297 (00:13:54.680 --> 00:13:58.069) S33-P0298 (00:13:58.079 --> 00:14:00.750) S33-P0299 (00:14:00.760 --> 00:14:04.470) S33-P0300 (00:14:04.480 --> 00:14:07.829) S33-P0301 (00:14:07.839 --> 00:14:11.350) S33-P0302 (00:14:11.360 --> 00:14:12.949) S33-P0311 (00:14:37.639 --> 00:14:41.430) S33-P0312 (00:14:41.440 --> 00:14:45.350) S33-P0313 (00:14:45.360 --> 00:14:48.949) S33-P0314 (00:14:48.959 --> 00:14:51.670) S33-P0315 (00:14:51.680 --> 00:14:53.670) S33-P0316 (00:14:53.680 --> 00:14:57.910)

Sizing and exposure

The MSTX loss exposed oversized exposure and a late stop

S33 | Zoo (captioned name; spelling not independently established) | B: Reported experience

Attribution: highunverified self-report

He recalls a January trade, tentatively identified as MSTX, that was too large and lost more than roughly ten percent of the portfolio before he stopped. This is an exception to ideal stop behavior, not evidence his limits always work exactly as planned.

ELI5: A portfolio rule still depends on position size and timely execution.

S33-P0303 (00:14:12.959 --> 00:14:16.790) S33-P0304 (00:14:16.800 --> 00:14:20.790) S33-P0305 (00:14:20.800 --> 00:14:22.509) S33-P0306 (00:14:22.519 --> 00:14:26.670) S33-P0307 (00:14:26.680 --> 00:14:30.710) S33-P0308 (00:14:30.720 --> 00:14:33.030) S33-P0309 (00:14:33.040 --> 00:14:35.110) S33-P0310 (00:14:35.120 --> 00:14:37.629) S33-P0311 (00:14:37.639 --> 00:14:41.430) S33-P0312 (00:14:41.440 --> 00:14:45.350) S33-P0313 (00:14:45.360 --> 00:14:48.949) S33-P0314 (00:14:48.959 --> 00:14:51.670) S33-P0315 (00:14:51.680 --> 00:14:53.670) S33-P0316 (00:14:53.680 --> 00:14:57.910)

Numbers

Sizing and exposure / Losses and survival

Savings buffer made unprofitable months tolerable

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Before becoming full-time he accumulated savings to cover life through uneven results. He also believes in the strategy and attributes many drawdowns to size and stop errors. That belief should still be checked against changing expectancy; the interview supplies no objective strategy-retirement test.

ELI5: Bills covered elsewhere make it easier to wait through a dry spell.

S33-P0332 (00:15:29.480 --> 00:15:33.269) S33-P0333 (00:15:33.279 --> 00:15:36.069) S33-P0334 (00:15:36.079 --> 00:15:40.949) S33-P0335 (00:15:40.959 --> 00:15:43.629) S33-P0336 (00:15:43.639 --> 00:15:46.389) S33-P0337 (00:15:46.399 --> 00:15:51.430) S33-P0338 (00:15:51.440 --> 00:15:53.670) S33-P0339 (00:15:53.680 --> 00:15:56.790) S33-P0340 (00:15:56.800 --> 00:15:58.749) S33-P0341 (00:15:58.759 --> 00:16:00.910) S33-P0342 (00:16:00.920 --> 00:16:04.069) S33-P0343 (00:16:04.079 --> 00:16:06.790) S33-P0344 (00:16:06.800 --> 00:16:10.069) S33-P0345 (00:16:10.079 --> 00:16:13.670) S33-P0346 (00:16:13.680 --> 00:16:16.430) S33-P0347 (00:16:16.440 --> 00:16:20.749) S33-P0348 (00:16:20.759 --> 00:16:26.269) S33-P0349 (00:16:26.279 --> 00:16:28.590) S33-P0350 (00:16:28.600 --> 00:16:32.389) S33-P0351 (00:16:32.399 --> 00:16:34.629) S33-P0352 (00:16:34.639 --> 00:16:36.710) S33-P0353 (00:16:36.720 --> 00:16:37.710) S33-P0354 (00:16:37.720 --> 00:16:41.110) S33-P0355 (00:16:41.120 --> 00:16:42.389) S33-P0356 (00:16:42.399 --> 00:16:45.110) S33-P0357 (00:16:45.120 --> 00:16:47.310) S33-P0358 (00:16:47.320 --> 00:16:51.509) S33-P0359 (00:16:51.519 --> 00:16:53.749) S33-P0360 (00:16:53.759 --> 00:16:58.230) S33-P0361 (00:16:58.240 --> 00:16:59.230) S33-P0362 (00:16:59.240 --> 00:17:04.710) S33-P0363 (00:17:04.720 --> 00:17:06.870) S33-P0364 (00:17:06.880 --> 00:17:10.150) S33-P0365 (00:17:10.160 --> 00:17:11.549) S33-P0366 (00:17:11.559 --> 00:17:14.949)

Strategy and regime

A home run can be an ordinary setup plus unexpected luck

S33 | Zoo (captioned name; spelling not independently established) | B: Reported experience

Attribution: highunverified self-report

His SMCI call trade became unusually profitable after an unanticipated S&P inclusion announcement. He describes most exceptional winners as normal momentum trades that happened to work especially well, not predictions of every catalyst.

ELI5: He followed a normal setup and got an extra surprise.

S33-P0386 (00:17:58.480 --> 00:18:01.270) S33-P0387 (00:18:01.280 --> 00:18:02.950) S33-P0388 (00:18:02.960 --> 00:18:05.909) S33-P0389 (00:18:05.919 --> 00:18:07.150) S33-P0390 (00:18:07.160 --> 00:18:10.710) S33-P0391 (00:18:10.720 --> 00:18:16.190) S33-P0392 (00:18:16.200 --> 00:18:20.590) S33-P0393 (00:18:20.600 --> 00:18:23.909) S33-P0394 (00:18:23.919 --> 00:18:25.230) S33-P0395 (00:18:25.240 --> 00:18:29.270) S33-P0396 (00:18:29.280 --> 00:18:31.110) S33-P0397 (00:18:31.120 --> 00:18:34.710) S33-P0398 (00:18:34.720 --> 00:18:38.950) S33-P0399 (00:18:38.960 --> 00:18:43.270) S33-P0400 (00:18:43.280 --> 00:18:46.390) S33-P0401 (00:18:46.400 --> 00:18:48.150) S33-P0402 (00:18:48.160 --> 00:18:50.110) S33-P0403 (00:18:50.120 --> 00:18:54.230) S33-P0404 (00:18:54.240 --> 00:18:58.190) S33-P0405 (00:18:58.200 --> 00:19:02.070) S33-P0406 (00:19:02.080 --> 00:19:05.190) S33-P0407 (00:19:05.200 --> 00:19:08.630) S33-P0408 (00:19:08.640 --> 00:19:11.190) S33-P0409 (00:19:11.200 --> 00:19:13.470) S33-P0410 (00:19:13.480 --> 00:19:16.150) S33-P0411 (00:19:16.160 --> 00:19:18.470) S33-P0412 (00:19:18.480 --> 00:19:23.110) S33-P0413 (00:19:23.120 --> 00:19:25.909) S33-P0414 (00:19:25.919 --> 00:19:31.310) S33-P0415 (00:19:31.320 --> 00:19:33.909) S33-P0416 (00:19:33.919 --> 00:19:36.789) S33-P0417 (00:19:36.799 --> 00:19:38.549) S33-P0418 (00:19:38.559 --> 00:19:40.750) S33-P0419 (00:19:40.760 --> 00:19:44.150)

Strategy and regime

Uncertain reversal timing favors shares or short premium over long calls

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

During tariff volatility and the HIMS decline he favored shares or selling options rather than predicting a quick rebound with calls. Later he explicitly says he buys calls into momentum after a local high break, not into an undated hoped-for reversal. Neither shares nor sold puts remove downside risk.

ELI5: Use a clock-sensitive instrument only when the move is already developing.

S33-P0447 (00:20:43.600 --> 00:20:47.430) S33-P0448 (00:20:47.440 --> 00:20:50.149) S33-P0449 (00:20:50.159 --> 00:20:52.149) S33-P0450 (00:20:52.159 --> 00:20:55.029) S33-P0451 (00:20:55.039 --> 00:20:56.630) S33-P0452 (00:20:56.640 --> 00:20:58.149) S33-P0453 (00:20:58.159 --> 00:21:00.310) S33-P0454 (00:21:00.320 --> 00:21:03.750) S33-P0455 (00:21:03.760 --> 00:21:07.110) S33-P0456 (00:21:07.120 --> 00:21:09.029) S33-P0457 (00:21:09.039 --> 00:21:11.350) S33-P0458 (00:21:11.360 --> 00:21:12.510) S33-P0459 (00:21:12.520 --> 00:21:17.029) S33-P0460 (00:21:17.039 --> 00:21:20.070) S33-P0461 (00:21:20.080 --> 00:21:22.710) S33-P0462 (00:21:22.720 --> 00:21:25.590) S33-P0463 (00:21:25.600 --> 00:21:27.669) S33-P0464 (00:21:27.679 --> 00:21:29.830) S33-P0465 (00:21:29.840 --> 00:21:31.270) S33-P0466 (00:21:31.280 --> 00:21:32.789) S33-P0467 (00:21:32.799 --> 00:21:36.710) S33-P0468 (00:21:36.720 --> 00:21:39.310) S33-P0469 (00:21:39.320 --> 00:21:42.270) S33-P0470 (00:21:42.280 --> 00:21:45.230) S33-P1181 (00:54:17.400 --> 00:54:23.109) S33-P1182 (00:54:23.119 --> 00:54:27.230) S33-P1183 (00:54:27.240 --> 00:54:30.390) S33-P1184 (00:54:30.400 --> 00:54:34.990) S33-P1185 (00:54:35.000 --> 00:54:37.990) S33-P1186 (00:54:38.000 --> 00:54:42.750) S33-P1187 (00:54:42.760 --> 00:54:45.309) S33-P1188 (00:54:45.319 --> 00:54:49.190) S33-P1189 (00:54:49.200 --> 00:54:51.390) S33-P1190 (00:54:51.400 --> 00:54:55.190) S33-P1191 (00:54:55.200 --> 00:54:57.750) S33-P1192 (00:54:57.760 --> 00:54:59.270) S33-P1193 (00:54:59.280 --> 00:55:02.309) S33-P1194 (00:55:02.319 --> 00:55:06.630) S33-P1195 (00:55:06.640 --> 00:55:09.109) S33-P1196 (00:55:09.119 --> 00:55:12.069) S33-P1197 (00:55:12.079 --> 00:55:16.670) S33-P1198 (00:55:16.680 --> 00:55:20.069)

Strategy and regime / Entries and execution

Long-option returns depend on timing and volatility as well as direction

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He explains that an option can lose value during sideways action or even a small favorable underlying move if time decay or falling implied volatility dominates. This is why simply being bullish is insufficient for his long-call trades.

ELI5: A call needs more than the stock eventually moving up.

S33-P0478 (00:22:09.440 --> 00:22:12.789) S33-P0479 (00:22:12.799 --> 00:22:14.950) S33-P0480 (00:22:14.960 --> 00:22:18.310) S33-P0481 (00:22:18.320 --> 00:22:20.590) S33-P0482 (00:22:20.600 --> 00:22:25.270) S33-P0483 (00:22:25.280 --> 00:22:28.149) S33-P0484 (00:22:28.159 --> 00:22:30.390) S33-P0485 (00:22:30.400 --> 00:22:34.230) S33-P0486 (00:22:34.240 --> 00:22:37.430) S33-P0487 (00:22:37.440 --> 00:22:41.190) S33-P0488 (00:22:41.200 --> 00:22:45.190) S33-P0489 (00:22:45.200 --> 00:22:47.909) S33-P0490 (00:22:47.919 --> 00:22:52.149) S33-P0491 (00:22:52.159 --> 00:22:55.390) S33-P0492 (00:22:55.400 --> 00:23:00.190)

Strategy and regime

The earnings calendar structures his swing-trading year

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He divides the year by major earnings cycles and watches the weeks before a report, particularly strong momentum names and large technology companies. Scheduled events offer a known time window, unlike an unspecified future catalyst. No universal pre-earnings drift is demonstrated.

ELI5: He trades anticipation ahead of an event with a known date.

S33-P0505 (00:23:36.159 --> 00:23:38.789) S33-P0506 (00:23:38.799 --> 00:23:41.870) S33-P0507 (00:23:41.880 --> 00:23:45.350) S33-P0508 (00:23:45.360 --> 00:23:48.990) S33-P0509 (00:23:49.000 --> 00:23:51.350) S33-P0510 (00:23:51.360 --> 00:23:54.390) S33-P0511 (00:23:54.400 --> 00:23:58.669) S33-P0512 (00:23:58.679 --> 00:24:01.990) S33-P0513 (00:24:02.000 --> 00:24:04.789) S33-P0514 (00:24:04.799 --> 00:24:07.430) S33-P0515 (00:24:07.440 --> 00:24:10.350) S33-P0516 (00:24:10.360 --> 00:24:13.190) S33-P0517 (00:24:13.200 --> 00:24:14.830) S33-P0518 (00:24:14.840 --> 00:24:18.990) S33-P0519 (00:24:19.000 --> 00:24:20.750) S33-P0520 (00:24:20.760 --> 00:24:23.710) S33-P0521 (00:24:23.720 --> 00:24:28.710) S33-P0522 (00:24:28.720 --> 00:24:31.990) S33-P0523 (00:24:32.000 --> 00:24:34.190) S33-P0524 (00:24:34.200 --> 00:24:37.470) S33-P0525 (00:24:37.480 --> 00:24:43.230) S33-P0526 (00:24:43.240 --> 00:24:46.310) S33-P0527 (00:24:46.320 --> 00:24:47.750) S33-P0528 (00:24:47.760 --> 00:24:50.310) S33-P0529 (00:24:50.320 --> 00:24:52.230) S33-P0530 (00:24:52.240 --> 00:24:55.269)

Strategy and regime

Buy an expiry after earnings but exit the long call before the release

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

This is the central distinction: the chosen contract includes the event, while the trade seeks the pre-event run and is sold before actual earnings, often well before. He accepts missing an eventual gap because that outcome is outside his intended edge. Exact sell day and trigger are unspecified.

ELI5: The option lasts through earnings; his long-call trade does not.

S33-P0531 (00:24:55.279 --> 00:24:58.310) S33-P0532 (00:24:58.320 --> 00:25:00.789) S33-P0533 (00:25:00.799 --> 00:25:03.590) S33-P0534 (00:25:03.600 --> 00:25:07.350) S33-P0535 (00:25:07.360 --> 00:25:08.669) S33-P0536 (00:25:08.679 --> 00:25:11.110) S33-P0537 (00:25:11.120 --> 00:25:14.789) S33-P0538 (00:25:14.799 --> 00:25:17.190) S33-P0539 (00:25:17.200 --> 00:25:20.390) S33-P0540 (00:25:20.400 --> 00:25:22.070) S33-P0541 (00:25:22.080 --> 00:25:25.950) S33-P0542 (00:25:25.960 --> 00:25:30.590) S33-P0543 (00:25:30.600 --> 00:25:33.870) S33-P0544 (00:25:33.880 --> 00:25:38.669) S33-P0545 (00:25:38.679 --> 00:25:42.190) S33-P0546 (00:25:42.200 --> 00:25:45.269) S33-P0547 (00:25:45.279 --> 00:25:49.149) S33-P0600 (00:28:10.440 --> 00:28:14.310) S33-P0601 (00:28:14.320 --> 00:28:16.950) S33-P0602 (00:28:16.960 --> 00:28:20.230) S33-P0603 (00:28:20.240 --> 00:28:23.190) S33-P0604 (00:28:23.200 --> 00:28:25.750) S33-P0605 (00:28:25.760 --> 00:28:27.950) S33-P0606 (00:28:27.960 --> 00:28:30.470) S33-P0607 (00:28:30.480 --> 00:28:32.230) S33-P0608 (00:28:32.240 --> 00:28:34.470) S33-P0609 (00:28:34.480 --> 00:28:36.950) S33-P0610 (00:28:36.960 --> 00:28:40.549) S33-P0611 (00:28:40.559 --> 00:28:43.510) S33-P0612 (00:28:43.520 --> 00:28:45.909) S33-P0613 (00:28:45.919 --> 00:28:49.430) S33-P0614 (00:28:49.440 --> 00:28:51.190) S33-P0615 (00:28:51.200 --> 00:28:53.350) S33-P0616 (00:28:53.360 --> 00:28:57.190) S33-P0617 (00:28:57.200 --> 00:29:01.269) S33-P0618 (00:29:01.279 --> 00:29:03.909) S33-P0619 (00:29:03.919 --> 00:29:05.350) S33-P0620 (00:29:05.360 --> 00:29:06.870) S33-P0621 (00:29:06.880 --> 00:29:07.870) S33-P0622 (00:29:07.880 --> 00:29:13.190) S33-P0623 (00:29:13.200 --> 00:29:16.070) S33-P0624 (00:29:16.080 --> 00:29:18.789) S33-P0625 (00:29:18.799 --> 00:29:21.750) S33-P0626 (00:29:21.760 --> 00:29:24.830) S33-P0627 (00:29:24.840 --> 00:29:28.070) S33-P0628 (00:29:28.080 --> 00:29:30.070) S33-P0629 (00:29:30.080 --> 00:29:33.590)

Exits and adjustments

Expected IV support is a thesis, not guaranteed theta cancellation

S33 | Zoo (captioned name; spelling not independently established) | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He expects rising event-related volatility to help offset time decay while price drifts favorably. The host and guest oversimplify this as values staying flat because effects cancel. The transcript provides no IV-term-structure measurements or proof of complete offset, so the mechanism must be tested rather than assumed.

ELI5: An approaching event may support premium, but time cost still matters.

S33-P0531 (00:24:55.279 --> 00:24:58.310) S33-P0532 (00:24:58.320 --> 00:25:00.789) S33-P0533 (00:25:00.799 --> 00:25:03.590) S33-P0534 (00:25:03.600 --> 00:25:07.350) S33-P0535 (00:25:07.360 --> 00:25:08.669) S33-P0536 (00:25:08.679 --> 00:25:11.110) S33-P0537 (00:25:11.120 --> 00:25:14.789) S33-P0538 (00:25:14.799 --> 00:25:17.190) S33-P0539 (00:25:17.200 --> 00:25:20.390) S33-P0540 (00:25:20.400 --> 00:25:22.070) S33-P0541 (00:25:22.080 --> 00:25:25.950) S33-P0542 (00:25:25.960 --> 00:25:30.590) S33-P0543 (00:25:30.600 --> 00:25:33.870) S33-P0544 (00:25:33.880 --> 00:25:38.669) S33-P0545 (00:25:38.679 --> 00:25:42.190) S33-P0546 (00:25:42.200 --> 00:25:45.269) S33-P0547 (00:25:45.279 --> 00:25:49.149) S33-P0548 (00:25:49.159 --> 00:25:54.549) S33-P0549 (00:25:54.559 --> 00:25:56.310) S33-P0550 (00:25:56.320 --> 00:25:57.590) S33-P0551 (00:25:57.600 --> 00:25:59.510) S33-P0552 (00:25:59.520 --> 00:26:01.269) S33-P0553 (00:26:01.279 --> 00:26:02.870) S33-P0554 (00:26:02.880 --> 00:26:04.390) S33-P0555 (00:26:04.400 --> 00:26:06.470) S33-P0556 (00:26:06.480 --> 00:26:07.510) S33-P0557 (00:26:07.520 --> 00:26:09.950)

Evidence and limitations

He stopped trading Microsoft when its pre-earnings behavior weakened

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

Microsoft was an earlier favorite, but recent earnings cycles failed to show the desired rally. He continues monitoring instead of forcing the pattern. This qualifies his broader claim that hype-driven pre-earnings opportunity will always exist.

ELI5: A favorite stock can stop being a suitable setup.

S33-P0558 (00:26:09.960 --> 00:26:12.390) S33-P0559 (00:26:12.400 --> 00:26:14.950) S33-P0560 (00:26:14.960 --> 00:26:18.070) S33-P0561 (00:26:18.080 --> 00:26:20.549) S33-P0562 (00:26:20.559 --> 00:26:22.710) S33-P0563 (00:26:22.720 --> 00:26:25.909) S33-P0564 (00:26:25.919 --> 00:26:28.750) S33-P0565 (00:26:28.760 --> 00:26:31.990) S33-P0566 (00:26:32.000 --> 00:26:36.390) S33-P0567 (00:26:36.400 --> 00:26:38.230) S33-P0568 (00:26:38.240 --> 00:26:42.669) S33-P0569 (00:26:42.679 --> 00:26:45.430) S33-P0570 (00:26:45.440 --> 00:26:48.390) S33-P0571 (00:26:48.400 --> 00:26:51.029) S33-P0572 (00:26:51.039 --> 00:26:52.950) S33-P0573 (00:26:52.960 --> 00:26:55.510) S33-P0574 (00:26:55.520 --> 00:27:01.870) S33-P0725 (00:33:43.960 --> 00:33:49.070) S33-P0726 (00:33:49.080 --> 00:33:52.630) S33-P0727 (00:33:52.640 --> 00:33:55.750) S33-P0728 (00:33:55.760 --> 00:33:57.470) S33-P0729 (00:33:57.480 --> 00:34:00.509) S33-P0730 (00:34:00.519 --> 00:34:02.950) S33-P0731 (00:34:02.960 --> 00:34:05.710) S33-P0732 (00:34:05.720 --> 00:34:08.069) S33-P0733 (00:34:08.079 --> 00:34:10.550) S33-P0734 (00:34:10.560 --> 00:34:13.109) S33-P0735 (00:34:13.119 --> 00:34:15.629) S33-P0736 (00:34:15.639 --> 00:34:18.869) S33-P0737 (00:34:18.879 --> 00:34:20.990) S33-P0738 (00:34:21.000 --> 00:34:24.310) S33-P0739 (00:34:24.320 --> 00:34:26.790) S33-P0740 (00:34:26.800 --> 00:34:29.710)

Numbers

Strategy and regime

Buying calls too early can waste premium through a sideways interval

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

His older Microsoft example contrasts a stagnant interval after prior earnings with the later pre-earnings rally. He prefers entering nearer the developing move rather than holding premium through the entire quarter. Chart-relative here references prevent reconstructing a precise entry.

ELI5: Waiting for the active part can reduce time spent paying for nothing.

S33-P0576 (00:27:03.960 --> 00:27:07.390) S33-P0577 (00:27:07.400 --> 00:27:10.470) S33-P0578 (00:27:10.480 --> 00:27:14.110) S33-P0579 (00:27:14.120 --> 00:27:17.590) S33-P0580 (00:27:17.600 --> 00:27:20.789) S33-P0581 (00:27:20.799 --> 00:27:24.470) S33-P0582 (00:27:24.480 --> 00:27:27.190) S33-P0583 (00:27:27.200 --> 00:27:28.789) S33-P0584 (00:27:28.799 --> 00:27:30.789) S33-P0585 (00:27:30.799 --> 00:27:32.510) S33-P0586 (00:27:32.520 --> 00:27:34.909) S33-P0587 (00:27:34.919 --> 00:27:37.510) S33-P0588 (00:27:37.520 --> 00:27:38.870) S33-P0589 (00:27:38.880 --> 00:27:43.830) S33-P0590 (00:27:43.840 --> 00:27:45.190) S33-P0591 (00:27:45.200 --> 00:27:47.990) S33-P0592 (00:27:48.000 --> 00:27:49.710) S33-P0593 (00:27:49.720 --> 00:27:52.149) S33-P0594 (00:27:52.159 --> 00:27:54.310) S33-P0595 (00:27:54.320 --> 00:27:57.149) S33-P0596 (00:27:57.159 --> 00:28:00.710) S33-P0597 (00:28:00.720 --> 00:28:03.070) S33-P0598 (00:28:03.080 --> 00:28:06.510) S33-P0599 (00:28:06.520 --> 00:28:10.430)

Entries and execution

Holding shares or short puts through earnings is a separate exception

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

His categorical never-hold statement applies to long calls in the run-up strategy. He says an actual earnings position may be a short put or longer-term shares. That creates event-gap and assignment exposure rather than a risk-free substitute.

ELI5: Avoiding one earnings bet does not mean he avoids all earnings exposure.

S33-P0622 (00:29:07.880 --> 00:29:13.190) S33-P0623 (00:29:13.200 --> 00:29:16.070) S33-P0624 (00:29:16.080 --> 00:29:18.789) S33-P0625 (00:29:18.799 --> 00:29:21.750) S33-P0626 (00:29:21.760 --> 00:29:24.830) S33-P0627 (00:29:24.840 --> 00:29:28.070) S33-P0628 (00:29:28.080 --> 00:29:30.070) S33-P0629 (00:29:30.080 --> 00:29:33.590)

Losses and survival

Pre-expiry option profit does not require touching the strike

S33 | Zoo (captioned name; spelling not independently established) | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He clarifies that he trades the option premium before expiration rather than always exercising or holding to maturity. However, his example equating a stock five-dollar rise with a five-dollar option rise is oversimplified and effectively assumes full dollar sensitivity. Strike, delta, volatility and time affect the relationship.

ELI5: You can sell a more valuable option before expiry, but it does not move dollar for dollar automatically.

S33-P0648 (00:30:14.559 --> 00:30:16.230) S33-P0649 (00:30:16.240 --> 00:30:18.870) S33-P0650 (00:30:18.880 --> 00:30:20.389) S33-P0651 (00:30:20.399 --> 00:30:21.230) S33-P0652 (00:30:21.240 --> 00:30:23.750) S33-P0653 (00:30:23.760 --> 00:30:26.630) S33-P0654 (00:30:26.640 --> 00:30:29.510) S33-P0655 (00:30:29.520 --> 00:30:32.389) S33-P0656 (00:30:32.399 --> 00:30:33.830) S33-P0657 (00:30:33.840 --> 00:30:36.870) S33-P0658 (00:30:36.880 --> 00:30:38.710) S33-P0659 (00:30:38.720 --> 00:30:41.510) S33-P0660 (00:30:41.520 --> 00:30:44.630) S33-P0661 (00:30:44.640 --> 00:30:46.149) S33-P0662 (00:30:46.159 --> 00:30:50.549) S33-P0663 (00:30:50.559 --> 00:30:53.350) S33-P0664 (00:30:53.360 --> 00:30:55.909) S33-P0665 (00:30:55.919 --> 00:30:59.310) S33-P0666 (00:30:59.320 --> 00:31:02.070) S33-P0667 (00:31:02.080 --> 00:31:05.310) S33-P0668 (00:31:05.320 --> 00:31:08.230) S33-P0669 (00:31:08.240 --> 00:31:10.149) S33-P0670 (00:31:10.159 --> 00:31:13.070) S33-P0671 (00:31:13.080 --> 00:31:15.070) S33-P0672 (00:31:15.080 --> 00:31:18.389) S33-P0673 (00:31:18.399 --> 00:31:22.669) S33-P0674 (00:31:22.679 --> 00:31:25.750) S33-P0675 (00:31:25.760 --> 00:31:27.430) S33-P0676 (00:31:27.440 --> 00:31:28.870) S33-P0677 (00:31:28.880 --> 00:31:32.710) S33-P0678 (00:31:32.720 --> 00:31:35.110) S33-P0679 (00:31:35.120 --> 00:31:37.669) S33-P0680 (00:31:37.679 --> 00:31:42.310) S33-P0681 (00:31:42.320 --> 00:31:44.710) S33-P0682 (00:31:44.720 --> 00:31:47.310) S33-P0683 (00:31:47.320 --> 00:31:49.830) S33-P0684 (00:31:49.840 --> 00:31:53.509) S33-P0685 (00:31:53.519 --> 00:31:54.870) S33-P0686 (00:31:54.880 --> 00:31:57.470) S33-P0687 (00:31:57.480 --> 00:32:01.190) S33-P0688 (00:32:01.200 --> 00:32:02.710) S33-P0689 (00:32:02.720 --> 00:32:05.750) S33-P0690 (00:32:05.760 --> 00:32:10.230) S33-P0691 (00:32:10.240 --> 00:32:13.509) S33-P0692 (00:32:13.519 --> 00:32:17.110) S33-P0693 (00:32:17.120 --> 00:32:19.830) S33-P0694 (00:32:19.840 --> 00:32:21.909) S33-P0695 (00:32:21.919 --> 00:32:24.070) S33-P0696 (00:32:24.080 --> 00:32:27.110) S33-P0697 (00:32:27.120 --> 00:32:28.950) S33-P0698 (00:32:28.960 --> 00:32:33.350)

Numbers

Strategy and regime

Large option prints are a contextual clue, not proof of informed direction

S33 | Zoo (captioned name; spelling not independently established) | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He tracks order flow and exposures, interpreting large out-of-the-money calls as bullish positioning. The interview does not establish whether prints are bought or sold, opening or closing, standalone or hedged. The host assertion that someone knows something is speculation.

ELI5: A big option trade does not reveal the whole portfolio behind it.

S33-P0699 (00:32:33.360 --> 00:32:37.029) S33-P0700 (00:32:37.039 --> 00:32:40.070) S33-P0701 (00:32:40.080 --> 00:32:43.590) S33-P0702 (00:32:43.600 --> 00:32:45.909) S33-P0703 (00:32:45.919 --> 00:32:48.310) S33-P0704 (00:32:48.320 --> 00:32:53.750) S33-P0705 (00:32:53.760 --> 00:32:55.590) S33-P0706 (00:32:55.600 --> 00:32:58.950) S33-P0707 (00:32:58.960 --> 00:33:02.149) S33-P0708 (00:33:02.159 --> 00:33:05.909) S33-P0709 (00:33:05.919 --> 00:33:08.549) S33-P0710 (00:33:08.559 --> 00:33:11.149) S33-P0711 (00:33:11.159 --> 00:33:13.830) S33-P0712 (00:33:13.840 --> 00:33:15.909) S33-P0713 (00:33:15.919 --> 00:33:18.310) S33-P0714 (00:33:18.320 --> 00:33:21.269) S33-P0715 (00:33:21.279 --> 00:33:22.870) S33-P0716 (00:33:22.880 --> 00:33:24.470) S33-P0717 (00:33:24.480 --> 00:33:25.990) S33-P0718 (00:33:26.000 --> 00:33:28.230) S33-P0719 (00:33:28.240 --> 00:33:30.070) S33-P0720 (00:33:30.080 --> 00:33:31.990) S33-P0721 (00:33:32.000 --> 00:33:36.029) S33-P0722 (00:33:36.039 --> 00:33:39.190) S33-P0723 (00:33:39.200 --> 00:33:42.430)

Strategy and regime

Stock-specific behavior can emerge after repeated positive earnings surprises

S33 | Zoo (captioned name; spelling not independently established) | B: Reported experience

Attribution: highunverified self-report

He contrasts former Microsoft behavior with Palantir, where repeated positive earnings reactions appeared to precede later anticipatory rallies. He traded that later pattern. This is a proposed behavioral explanation from selected charts, not causal proof or a guarantee every surprise creates the next rally.

ELI5: Traders may start buying earlier after repeatedly missing good news.

S33-P0725 (00:33:43.960 --> 00:33:49.070) S33-P0726 (00:33:49.080 --> 00:33:52.630) S33-P0727 (00:33:52.640 --> 00:33:55.750) S33-P0728 (00:33:55.760 --> 00:33:57.470) S33-P0729 (00:33:57.480 --> 00:34:00.509) S33-P0730 (00:34:00.519 --> 00:34:02.950) S33-P0731 (00:34:02.960 --> 00:34:05.710) S33-P0732 (00:34:05.720 --> 00:34:08.069) S33-P0733 (00:34:08.079 --> 00:34:10.550) S33-P0734 (00:34:10.560 --> 00:34:13.109) S33-P0735 (00:34:13.119 --> 00:34:15.629) S33-P0736 (00:34:15.639 --> 00:34:18.869) S33-P0737 (00:34:18.879 --> 00:34:20.990) S33-P0738 (00:34:21.000 --> 00:34:24.310) S33-P0739 (00:34:24.320 --> 00:34:26.790) S33-P0740 (00:34:26.800 --> 00:34:29.710) S33-P0741 (00:34:29.720 --> 00:34:32.909) S33-P0742 (00:34:32.919 --> 00:34:36.750) S33-P0743 (00:34:36.760 --> 00:34:41.270) S33-P0744 (00:34:41.280 --> 00:34:43.270) S33-P0745 (00:34:43.280 --> 00:34:47.550) S33-P0746 (00:34:47.560 --> 00:34:49.990) S33-P0747 (00:34:50.000 --> 00:34:52.470) S33-P0748 (00:34:52.480 --> 00:34:54.470) S33-P0749 (00:34:54.480 --> 00:34:56.710) S33-P0750 (00:34:56.720 --> 00:34:59.829) S33-P0751 (00:34:59.839 --> 00:35:01.430) S33-P0752 (00:35:01.440 --> 00:35:04.550) S33-P0753 (00:35:04.560 --> 00:35:06.630) S33-P0754 (00:35:06.640 --> 00:35:08.190) S33-P0755 (00:35:08.200 --> 00:35:11.430) S33-P0756 (00:35:11.440 --> 00:35:13.870) S33-P0757 (00:35:13.880 --> 00:35:16.190) S33-P0758 (00:35:16.200 --> 00:35:20.550) S33-P0759 (00:35:20.560 --> 00:35:23.109) S33-P0760 (00:35:23.119 --> 00:35:26.069) S33-P0761 (00:35:26.079 --> 00:35:28.950) S33-P0762 (00:35:28.960 --> 00:35:33.589) S33-P0763 (00:35:33.599 --> 00:35:35.829) S33-P0764 (00:35:35.839 --> 00:35:39.589) S33-P0765 (00:35:39.599 --> 00:35:41.270) S33-P0766 (00:35:41.280 --> 00:35:43.990) S33-P0767 (00:35:44.000 --> 00:35:45.510) S33-P0768 (00:35:45.520 --> 00:35:47.349) S33-P0769 (00:35:47.359 --> 00:35:48.630) S33-P0770 (00:35:48.640 --> 00:35:50.150) S33-P0771 (00:35:50.160 --> 00:35:52.270) S33-P0772 (00:35:52.280 --> 00:35:54.870) S33-P0773 (00:35:54.880 --> 00:35:56.950) S33-P0774 (00:35:56.960 --> 00:35:58.870) S33-P0775 (00:35:58.880 --> 00:36:00.470) S33-P0776 (00:36:00.480 --> 00:36:04.550) S33-P0777 (00:36:04.560 --> 00:36:08.310) S33-P0778 (00:36:08.320 --> 00:36:10.710) S33-P0779 (00:36:10.720 --> 00:36:12.630) S33-P0780 (00:36:12.640 --> 00:36:15.670) S33-P0781 (00:36:15.680 --> 00:36:18.710) S33-P0782 (00:36:18.720 --> 00:36:20.790) S33-P0783 (00:36:20.800 --> 00:36:23.349) S33-P0784 (00:36:23.359 --> 00:36:25.190) S33-P0785 (00:36:25.200 --> 00:36:28.069) S33-P0786 (00:36:28.079 --> 00:36:30.109) S33-P0787 (00:36:30.119 --> 00:36:32.470) S33-P0788 (00:36:32.480 --> 00:36:34.550) S33-P0789 (00:36:34.560 --> 00:36:35.870) S33-P0790 (00:36:35.880 --> 00:36:39.109)

Strategy and regime

His earnings-season insulation theory has clear limits

S33 | Zoo (captioned name; spelling not independently established) | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He believes reporting season can temporarily draw attention away from macro concerns and cites an early bearish position amid tariffs. The transcript date for Nvidia is uncertain, and calendar coincidence does not prove earnings caused the later market drop. This is his regime interpretation, not a dependable protection from macro shocks.

ELI5: An earnings theme can dominate attention without making the market immune.

S33-P0794 (00:36:46.119 --> 00:36:49.190) S33-P0795 (00:36:49.200 --> 00:36:52.230) S33-P0796 (00:36:52.240 --> 00:36:53.390) S33-P0797 (00:36:53.400 --> 00:36:56.710) S33-P0798 (00:36:56.720 --> 00:36:59.829) S33-P0799 (00:36:59.839 --> 00:37:02.470) S33-P0800 (00:37:02.480 --> 00:37:04.550) S33-P0801 (00:37:04.560 --> 00:37:07.910) S33-P0802 (00:37:07.920 --> 00:37:11.349) S33-P0803 (00:37:11.359 --> 00:37:13.270) S33-P0804 (00:37:13.280 --> 00:37:15.829) S33-P0805 (00:37:15.839 --> 00:37:18.069) S33-P0806 (00:37:18.079 --> 00:37:21.230) S33-P0807 (00:37:21.240 --> 00:37:22.750) S33-P0808 (00:37:22.760 --> 00:37:26.230) S33-P0809 (00:37:26.240 --> 00:37:28.550) S33-P0810 (00:37:28.560 --> 00:37:30.790) S33-P0811 (00:37:30.800 --> 00:37:34.390) S33-P0812 (00:37:34.400 --> 00:37:37.910) S33-P0813 (00:37:37.920 --> 00:37:42.310) S33-P0814 (00:37:42.320 --> 00:37:44.230) S33-P0815 (00:37:44.240 --> 00:37:47.990) S33-P0816 (00:37:48.000 --> 00:37:49.790) S33-P0817 (00:37:49.800 --> 00:37:51.710) S33-P0818 (00:37:51.720 --> 00:37:55.750) S33-P0819 (00:37:55.760 --> 00:37:58.870) S33-P0820 (00:37:58.880 --> 00:38:03.390) S33-P0821 (00:38:03.400 --> 00:38:05.950) S33-P0822 (00:38:05.960 --> 00:38:11.630) S33-P0823 (00:38:11.640 --> 00:38:13.790) S33-P0824 (00:38:13.800 --> 00:38:17.069) S33-P0825 (00:38:17.079 --> 00:38:20.390) S33-P0826 (00:38:20.400 --> 00:38:22.270) S33-P0827 (00:38:22.280 --> 00:38:27.190) S33-P0828 (00:38:27.200 --> 00:38:29.030) S33-P0829 (00:38:29.040 --> 00:38:31.750) S33-P0830 (00:38:31.760 --> 00:38:34.790) S33-P0831 (00:38:34.800 --> 00:38:36.829) S33-P0832 (00:38:36.839 --> 00:38:40.150) S33-P0833 (00:38:40.160 --> 00:38:45.829) S33-P0834 (00:38:45.839 --> 00:38:48.630) S33-P0835 (00:38:48.640 --> 00:38:51.230) S33-P0836 (00:38:51.240 --> 00:38:53.670) S33-P0837 (00:38:53.680 --> 00:38:56.990) S33-P0838 (00:38:57.000 --> 00:38:59.829) S33-P0839 (00:38:59.839 --> 00:39:02.069) S33-P0840 (00:39:02.079 --> 00:39:05.270) S33-P0841 (00:39:05.280 --> 00:39:07.270)

Psychology and decisions

The bullish thesis can be expressed through different instruments

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He uses calls, ordinary shares, leveraged ETF shares or short puts, choosing based partly on ability to hold and available options for covered calls. The named ETF option-availability statements are historical interview claims. Leveraged-share paths and covered calls create different exposures; they are not interchangeable returns.

ELI5: The same bullish view can carry very different risks depending on the instrument.

S33-P0842 (00:39:07.280 --> 00:39:09.109) S33-P0843 (00:39:09.119 --> 00:39:11.270) S33-P0844 (00:39:11.280 --> 00:39:15.270) S33-P0845 (00:39:15.280 --> 00:39:18.630) S33-P0846 (00:39:18.640 --> 00:39:21.349) S33-P0847 (00:39:21.359 --> 00:39:25.910) S33-P0848 (00:39:25.920 --> 00:39:30.950) S33-P0849 (00:39:30.960 --> 00:39:34.550) S33-P0850 (00:39:34.560 --> 00:39:36.390) S33-P0851 (00:39:36.400 --> 00:39:37.470) S33-P0852 (00:39:37.480 --> 00:39:41.670) S33-P0853 (00:39:41.680 --> 00:39:43.430) S33-P0854 (00:39:43.440 --> 00:39:45.910) S33-P0855 (00:39:45.920 --> 00:39:49.510) S33-P0856 (00:39:49.520 --> 00:39:52.069) S33-P0857 (00:39:52.079 --> 00:39:56.790) S33-P0858 (00:39:56.800 --> 00:39:59.150) S33-P0859 (00:39:59.160 --> 00:40:00.910) S33-P0860 (00:40:00.920 --> 00:40:05.270) S33-P0861 (00:40:05.280 --> 00:40:07.109) S33-P0862 (00:40:07.119 --> 00:40:10.310) S33-P0863 (00:40:10.320 --> 00:40:13.430) S33-P0864 (00:40:13.440 --> 00:40:16.870) S33-P0865 (00:40:16.880 --> 00:40:18.470) S33-P0866 (00:40:18.480 --> 00:40:21.190) S33-P0867 (00:40:21.200 --> 00:40:24.910) S33-P0868 (00:40:24.920 --> 00:40:27.990)

Strategy and regime

The squeeze indicator marks compression, not a direction prediction

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He attributes the indicator to John Carter and uses red dots for consolidation and green for release. It can break upward or downward. The interview does not give the formula, lookback, settings or a complete directional filter, so a generic indicator cannot be silently substituted.

ELI5: A compressed spring may move, but the indicator alone does not say which way.

S33-P0869 (00:40:28.000 --> 00:40:30.230) S33-P0870 (00:40:30.240 --> 00:40:32.710) S33-P0871 (00:40:32.720 --> 00:40:34.790) S33-P0872 (00:40:34.800 --> 00:40:35.870) S33-P0873 (00:40:35.880 --> 00:40:39.109) S33-P0874 (00:40:39.119 --> 00:40:42.150) S33-P0875 (00:40:42.160 --> 00:40:44.910) S33-P0876 (00:40:44.920 --> 00:40:48.470) S33-P0877 (00:40:48.480 --> 00:40:50.870) S33-P0878 (00:40:50.880 --> 00:40:53.069) S33-P0879 (00:40:53.079 --> 00:40:56.230) S33-P0880 (00:40:56.240 --> 00:40:57.790) S33-P0881 (00:40:57.800 --> 00:41:01.309) S33-P0882 (00:41:01.319 --> 00:41:04.309) S33-P0883 (00:41:04.319 --> 00:41:06.790) S33-P0884 (00:41:06.800 --> 00:41:11.190) S33-P0885 (00:41:11.200 --> 00:41:12.910) S33-P0886 (00:41:12.920 --> 00:41:17.309) S33-P0887 (00:41:17.319 --> 00:41:20.710) S33-P0888 (00:41:20.720 --> 00:41:25.710) S33-P0889 (00:41:25.720 --> 00:41:29.349) S33-P0890 (00:41:29.359 --> 00:41:33.270) S33-P0891 (00:41:33.280 --> 00:41:34.710) S33-P0892 (00:41:34.720 --> 00:41:36.150) S33-P0893 (00:41:36.160 --> 00:41:38.630) S33-P0894 (00:41:38.640 --> 00:41:41.190) S33-P0895 (00:41:41.200 --> 00:41:42.950) S33-P0896 (00:41:42.960 --> 00:41:44.950) S33-P0897 (00:41:44.960 --> 00:41:47.910) S33-P0898 (00:41:47.920 --> 00:41:53.109) S33-P0899 (00:41:53.119 --> 00:41:57.030) S33-P0900 (00:41:57.040 --> 00:41:58.349) S33-P0901 (00:41:58.359 --> 00:42:01.750) S33-P0902 (00:42:01.760 --> 00:42:03.430) S33-P0903 (00:42:03.440 --> 00:42:06.150) S33-P0904 (00:42:06.160 --> 00:42:09.309) S33-P0905 (00:42:09.319 --> 00:42:12.790) S33-P0906 (00:42:12.800 --> 00:42:15.589) S33-P0907 (00:42:15.599 --> 00:42:17.589)

Strategy and regime

HOOD illustrated confluence of compression and pre-earnings context

S33 | Zoo (captioned name; spelling not independently established) | B: Reported experience

Attribution: highunverified self-report

A Robinhood example combined a range, squeeze release and the pre-earnings window, which he views as two complementary ideas. He says he has not used the standalone squeeze strategy much lately. This is a described chart example without a complete option trade ledger.

ELI5: A timing window and a price setup can point to the same opportunity.

S33-P0869 (00:40:28.000 --> 00:40:30.230) S33-P0870 (00:40:30.240 --> 00:40:32.710) S33-P0871 (00:40:32.720 --> 00:40:34.790) S33-P0872 (00:40:34.800 --> 00:40:35.870) S33-P0873 (00:40:35.880 --> 00:40:39.109) S33-P0874 (00:40:39.119 --> 00:40:42.150) S33-P0875 (00:40:42.160 --> 00:40:44.910) S33-P0876 (00:40:44.920 --> 00:40:48.470) S33-P0877 (00:40:48.480 --> 00:40:50.870) S33-P0878 (00:40:50.880 --> 00:40:53.069) S33-P0900 (00:41:57.040 --> 00:41:58.349) S33-P0901 (00:41:58.359 --> 00:42:01.750) S33-P0902 (00:42:01.760 --> 00:42:03.430) S33-P0903 (00:42:03.440 --> 00:42:06.150) S33-P0904 (00:42:06.160 --> 00:42:09.309) S33-P0905 (00:42:09.319 --> 00:42:12.790) S33-P0906 (00:42:12.800 --> 00:42:15.589) S33-P0907 (00:42:15.599 --> 00:42:17.589) S33-P0908 (00:42:17.599 --> 00:42:20.069) S33-P0909 (00:42:20.079 --> 00:42:22.870) S33-P0910 (00:42:22.880 --> 00:42:25.910) S33-P0911 (00:42:25.920 --> 00:42:27.309) S33-P0912 (00:42:27.319 --> 00:42:29.150) S33-P0913 (00:42:29.160 --> 00:42:32.550) S33-P0914 (00:42:32.560 --> 00:42:35.589) S33-P0915 (00:42:35.599 --> 00:42:37.910)

Concrete examples

Shares are easier for him to hold through ordinary retracements

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He estimates that modest-looking chart pullbacks can create large percentage call losses, making it harder to hold for a longer rally. His casual later summary that options are just leverage omits the volatility and time components he described earlier. These examples are hypothetical, not observed exact drawdowns for a specified contract.

ELI5: The stock chart can look calm while the option position feels violent.

S33-P0923 (00:42:54.800 --> 00:42:57.030) S33-P0924 (00:42:57.040 --> 00:43:01.910) S33-P0925 (00:43:01.920 --> 00:43:03.550) S33-P0926 (00:43:03.560 --> 00:43:07.109) S33-P0927 (00:43:07.119 --> 00:43:09.349) S33-P0928 (00:43:09.359 --> 00:43:12.390) S33-P0929 (00:43:12.400 --> 00:43:15.510) S33-P0930 (00:43:15.520 --> 00:43:18.790) S33-P0931 (00:43:18.800 --> 00:43:21.670) S33-P0932 (00:43:21.680 --> 00:43:25.030) S33-P0933 (00:43:25.040 --> 00:43:27.349) S33-P0934 (00:43:27.359 --> 00:43:30.510) S33-P0935 (00:43:30.520 --> 00:43:32.790) S33-P0936 (00:43:32.800 --> 00:43:36.150) S33-P0937 (00:43:36.160 --> 00:43:38.309) S33-P0938 (00:43:38.319 --> 00:43:40.870) S33-P0939 (00:43:40.880 --> 00:43:43.589) S33-P0940 (00:43:43.599 --> 00:43:45.910) S33-P0941 (00:43:45.920 --> 00:43:49.510) S33-P0942 (00:43:49.520 --> 00:43:53.109) S33-P0943 (00:43:53.119 --> 00:43:56.309) S33-P0944 (00:43:56.319 --> 00:43:59.349) S33-P0945 (00:43:59.359 --> 00:44:02.069) S33-P0946 (00:44:02.079 --> 00:44:04.230) S33-P0947 (00:44:04.240 --> 00:44:05.910) S33-P0948 (00:44:05.920 --> 00:44:09.190) S33-P0949 (00:44:09.200 --> 00:44:12.069) S33-P0950 (00:44:12.079 --> 00:44:14.150) S33-P0951 (00:44:14.160 --> 00:44:16.309) S33-P0952 (00:44:16.319 --> 00:44:19.349) S33-P0953 (00:44:19.359 --> 00:44:22.550)

Numbers

Strategy and regime / Exits and adjustments / Losses and survival / Psychology and decisions

Swing options, not the newer day-trading work, dominate his profit account

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He says options and swings produce most profits, and at one stage traded the pre-earnings window then stopped for about two months. Recent day trading is a different, less mature activity. Do not market all described methods as equally proven contributors.

ELI5: His main earning method is not every technique he mentions.

S33-P0982 (00:45:21.520 --> 00:45:24.150) S33-P0983 (00:45:24.160 --> 00:45:26.470) S33-P0984 (00:45:26.480 --> 00:45:30.230) S33-P0985 (00:45:30.240 --> 00:45:33.190) S33-P0986 (00:45:33.200 --> 00:45:36.950) S33-P0987 (00:45:36.960 --> 00:45:43.270) S33-P0988 (00:45:43.280 --> 00:45:45.510) S33-P0989 (00:45:45.520 --> 00:45:48.710) S33-P0990 (00:45:48.720 --> 00:45:50.390) S33-P0991 (00:45:50.400 --> 00:45:53.990) S33-P0992 (00:45:54.000 --> 00:45:58.870) S33-P0993 (00:45:58.880 --> 00:46:00.630) S33-P0994 (00:46:00.640 --> 00:46:02.870) S33-P0995 (00:46:02.880 --> 00:46:04.750) S33-P0996 (00:46:04.760 --> 00:46:07.349) S33-P0997 (00:46:07.359 --> 00:46:10.390) S33-P0998 (00:46:10.400 --> 00:46:12.910) S33-P0999 (00:46:12.920 --> 00:46:15.230) S33-P1000 (00:46:15.240 --> 00:46:17.750) S33-P1001 (00:46:17.760 --> 00:46:20.230) S33-P1002 (00:46:20.240 --> 00:46:22.230) S33-P1003 (00:46:22.240 --> 00:46:24.470) S33-P1004 (00:46:24.480 --> 00:46:26.710) S33-P1005 (00:46:26.720 --> 00:46:29.430) S33-P1006 (00:46:29.440 --> 00:46:32.550) S33-P1007 (00:46:32.560 --> 00:46:34.390) S33-P1008 (00:46:34.400 --> 00:46:36.950) S33-P1009 (00:46:36.960 --> 00:46:39.190) S33-P1010 (00:46:39.200 --> 00:46:42.630) S33-P1011 (00:46:42.640 --> 00:46:44.950) S33-P1012 (00:46:44.960 --> 00:46:46.950) S33-P1013 (00:46:46.960 --> 00:46:51.150) S33-P1014 (00:46:51.160 --> 00:46:54.470) S33-P1015 (00:46:54.480 --> 00:46:59.790)

Numbers

Strategy and regime

Journal evidence pushed him away from zero-day options

S33 | Zoo (captioned name; spelling not independently established) | B: Reported experience

Attribution: highunverified self-report

Trading a contract at a time, he found zero DTE did not work well for him. Moving SPY calls and puts a few days out improved his reported success because the contract retained time beyond that day. The transcript gives neither sample count nor net expectancy, so success-rate improvement is not a validated universal recommendation.

ELI5: A little more time made his timing errors less final.

S33-P1016 (00:46:59.800 --> 00:47:04.470) S33-P1017 (00:47:04.480 --> 00:47:07.470) S33-P1018 (00:47:07.480 --> 00:47:10.069) S33-P1019 (00:47:10.079 --> 00:47:13.750) S33-P1020 (00:47:13.760 --> 00:47:16.069) S33-P1021 (00:47:16.079 --> 00:47:19.190) S33-P1022 (00:47:19.200 --> 00:47:21.750) S33-P1023 (00:47:21.760 --> 00:47:24.710) S33-P1024 (00:47:24.720 --> 00:47:27.470) S33-P1025 (00:47:27.480 --> 00:47:31.589) S33-P1026 (00:47:31.599 --> 00:47:34.870) S33-P1027 (00:47:34.880 --> 00:47:37.670) S33-P1028 (00:47:37.680 --> 00:47:40.910) S33-P1029 (00:47:40.920 --> 00:47:42.950) S33-P1030 (00:47:42.960 --> 00:47:44.589) S33-P1031 (00:47:44.599 --> 00:47:48.829) S33-P1032 (00:47:48.839 --> 00:47:52.309) S33-P1033 (00:47:52.319 --> 00:47:53.829) S33-P1034 (00:47:53.839 --> 00:47:56.190) S33-P1035 (00:47:56.200 --> 00:48:00.630) S33-P1036 (00:48:00.640 --> 00:48:02.910)

Numbers

Learning and review

Gamma and delta exposure are mentioned without an executable model

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He says these inform index/options day trading but does not define data source, exposure estimation, sign conventions, entry levels or exits. This supports a research topic, not a reproducible gamma strategy.

ELI5: The technical label is present; the actual decision rules are missing.

S33-P1034 (00:47:53.839 --> 00:47:56.190) S33-P1035 (00:47:56.200 --> 00:48:00.630) S33-P1036 (00:48:00.640 --> 00:48:02.910) S33-P1037 (00:48:02.920 --> 00:48:06.030) S33-P1038 (00:48:06.040 --> 00:48:09.190) S33-P1055 (00:48:36.640 --> 00:48:39.190) S33-P1056 (00:48:39.200 --> 00:48:40.870) S33-P1057 (00:48:40.880 --> 00:48:42.790) S33-P1058 (00:48:42.800 --> 00:48:43.910) S33-P1059 (00:48:43.920 --> 00:48:45.349) S33-P1060 (00:48:45.359 --> 00:48:47.990) S33-P1061 (00:48:48.000 --> 00:48:51.349) S33-P1062 (00:48:51.359 --> 00:48:55.549) S33-P1063 (00:48:55.559 --> 00:48:58.190) S33-P1064 (00:48:58.200 --> 00:49:01.109) S33-P1065 (00:49:01.119 --> 00:49:03.670) S33-P1066 (00:49:03.680 --> 00:49:06.790) S33-P1067 (00:49:06.800 --> 00:49:08.870) S33-P1068 (00:49:08.880 --> 00:49:11.829)

Sizing and exposure / Evidence and limitations

His learning sources combine live observation and published research

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He learned in John Carter trading rooms and from Tasty Trade material, alongside personal journaling. Admiring a spectacular public trade is separate from independently validating a method, and the source does not prove current service quality or pricing.

ELI5: Watch decisions, study mechanics and test them against your own record.

S33-P1069 (00:49:11.839 --> 00:49:14.790) S33-P1070 (00:49:14.800 --> 00:49:17.030) S33-P1071 (00:49:17.040 --> 00:49:20.390) S33-P1072 (00:49:20.400 --> 00:49:23.270) S33-P1073 (00:49:23.280 --> 00:49:26.549) S33-P1074 (00:49:26.559 --> 00:49:28.470) S33-P1075 (00:49:28.480 --> 00:49:31.910) S33-P1076 (00:49:31.920 --> 00:49:34.150) S33-P1077 (00:49:34.160 --> 00:49:36.549) S33-P1078 (00:49:36.559 --> 00:49:41.670) S33-P1079 (00:49:41.680 --> 00:49:43.150) S33-P1080 (00:49:43.160 --> 00:49:46.790) S33-P1081 (00:49:46.800 --> 00:49:48.630) S33-P1082 (00:49:48.640 --> 00:49:52.309) S33-P1083 (00:49:52.319 --> 00:49:54.670) S33-P1084 (00:49:54.680 --> 00:49:56.750) S33-P1085 (00:49:56.760 --> 00:50:00.470) S33-P1086 (00:50:00.480 --> 00:50:04.470) S33-P1087 (00:50:04.480 --> 00:50:06.309) S33-P1088 (00:50:06.319 --> 00:50:07.829) S33-P1089 (00:50:07.839 --> 00:50:10.549) S33-P1090 (00:50:10.559 --> 00:50:13.349) S33-P1091 (00:50:13.359 --> 00:50:16.430)

Development / Learning and review

Short premium contributed materially but needs a different risk lens

S33 | Zoo (captioned name; spelling not independently established) | A: Explicit statement

Attribution: highexplicit process or opinion, effectiveness not established

He estimates roughly forty percent of 2024 profits came from selling puts or calls, creating a steadier contribution than headline long-call wins. He stresses the capital required to support stock exposure. Exact collateral policy, strike, expiry, adjustment and loss limits are not supplied.

ELI5: Small premium gains can add up while carrying larger downside obligations.

S33-P1128 (00:51:58.280 --> 00:52:02.309) S33-P1129 (00:52:02.319 --> 00:52:07.549) S33-P1130 (00:52:07.559 --> 00:52:10.470) S33-P1131 (00:52:10.480 --> 00:52:13.190) S33-P1132 (00:52:13.200 --> 00:52:17.030) S33-P1133 (00:52:17.040 --> 00:52:18.349) S33-P1134 (00:52:18.359 --> 00:52:21.349) S33-P1135 (00:52:21.359 --> 00:52:24.470) S33-P1136 (00:52:24.480 --> 00:52:29.430) S33-P1137 (00:52:29.440 --> 00:52:33.549) S33-P1138 (00:52:33.559 --> 00:52:36.710) S33-P1139 (00:52:36.720 --> 00:52:39.750) S33-P1140 (00:52:39.760 --> 00:52:41.349) S33-P1141 (00:52:41.359 --> 00:52:43.270) S33-P1142 (00:52:43.280 --> 00:52:45.349) S33-P1143 (00:52:45.359 --> 00:52:49.109) S33-P1144 (00:52:49.119 --> 00:52:51.069) S33-P1145 (00:52:51.079 --> 00:52:52.350) S33-P1146 (00:52:52.360 --> 00:52:53.630) S33-P1147 (00:52:53.640 --> 00:52:56.390) S33-P1148 (00:52:56.400 --> 00:52:58.349) S33-P1149 (00:52:58.359 --> 00:53:01.829) S33-P1150 (00:53:01.839 --> 00:53:04.470) S33-P1151 (00:53:04.480 --> 00:53:06.510) S33-P1152 (00:53:06.520 --> 00:53:10.510) S33-P1153 (00:53:10.520 --> 00:53:14.390) S33-P1154 (00:53:14.400 --> 00:53:17.510)

Numbers

Sizing and exposure

Probability of profit is not a universal constant or expected return

S33 | Zoo (captioned name; spelling not independently established) | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He contrasts long-call and short-option win probabilities, but the quoted thirty-percent and fifty-fifty language lacks contract, horizon and model assumptions. Higher win probability does not establish better expectancy without loss magnitude, costs and tail risk. This is especially relevant alongside his own portfolio-stop discussion.

ELI5: Winning more often is only half the payoff question.

S33-P1092 (00:50:16.440 --> 00:50:21.230) S33-P1093 (00:50:21.240 --> 00:50:24.390) S33-P1094 (00:50:24.400 --> 00:50:28.390) S33-P1095 (00:50:28.400 --> 00:50:31.430) S33-P1096 (00:50:31.440 --> 00:50:34.390) S33-P1097 (00:50:34.400 --> 00:50:37.109) S33-P1098 (00:50:37.119 --> 00:50:40.030) S33-P1099 (00:50:40.040 --> 00:50:42.750) S33-P1100 (00:50:42.760 --> 00:50:45.829) S33-P1101 (00:50:45.839 --> 00:50:47.990) S33-P1102 (00:50:48.000 --> 00:50:50.870) S33-P1103 (00:50:50.880 --> 00:50:55.030) S33-P1104 (00:50:55.040 --> 00:50:58.309) S33-P1105 (00:50:58.319 --> 00:51:01.109) S33-P1106 (00:51:01.119 --> 00:51:03.990) S33-P1107 (00:51:04.000 --> 00:51:06.630) S33-P1108 (00:51:06.640 --> 00:51:08.630) S33-P1109 (00:51:08.640 --> 00:51:11.589) S33-P1110 (00:51:11.599 --> 00:51:14.630) S33-P1111 (00:51:14.640 --> 00:51:16.870) S33-P1112 (00:51:16.880 --> 00:51:17.950) S33-P1113 (00:51:17.960 --> 00:51:21.109) S33-P1114 (00:51:21.119 --> 00:51:23.990) S33-P1115 (00:51:24.000 --> 00:51:26.710) S33-P1116 (00:51:26.720 --> 00:51:29.430) S33-P1117 (00:51:29.440 --> 00:51:30.670) S33-P1118 (00:51:30.680 --> 00:51:35.430) S33-P1119 (00:51:35.440 --> 00:51:38.069) S33-P1120 (00:51:38.079 --> 00:51:39.910) S33-P1121 (00:51:39.920 --> 00:51:41.829) S33-P1122 (00:51:41.839 --> 00:51:45.430) S33-P1123 (00:51:45.440 --> 00:51:47.750) S33-P1124 (00:51:47.760 --> 00:51:50.309) S33-P1125 (00:51:50.319 --> 00:51:53.750) S33-P1126 (00:51:53.760 --> 00:51:55.309) S33-P1127 (00:51:55.319 --> 00:51:58.270)

Numbers

Evidence and limitations

Judge longevity by loss handling rather than only the largest winners

S33 | Zoo (captioned name; spelling not independently established) | C: Analyst inference

Attribution: highanalyst interpretation of cited transcript

He cites Rob Booker as an influence on examining how successful traders lose and avoid giving it all back. The host says longer records remove luck, which is too strong: longer evidence is more informative but cannot eliminate selection or hidden-risk effects.

ELI5: Study the damage control as carefully as the profit story.

S33-P1210 (00:55:44.440 --> 00:55:47.670) S33-P1211 (00:55:47.680 --> 00:55:50.230) S33-P1212 (00:55:50.240 --> 00:55:53.829) S33-P1213 (00:55:53.839 --> 00:55:56.470) S33-P1214 (00:55:56.480 --> 00:55:59.030) S33-P1215 (00:55:59.040 --> 00:56:02.390) S33-P1216 (00:56:02.400 --> 00:56:05.349) S33-P1217 (00:56:05.359 --> 00:56:07.270) S33-P1218 (00:56:07.280 --> 00:56:10.309) S33-P1219 (00:56:10.319 --> 00:56:13.190) S33-P1220 (00:56:13.200 --> 00:56:15.349) S33-P1221 (00:56:15.359 --> 00:56:19.030) S33-P1222 (00:56:19.040 --> 00:56:20.710) S33-P1223 (00:56:20.720 --> 00:56:22.630) S33-P1224 (00:56:22.640 --> 00:56:25.069) S33-P1225 (00:56:25.079 --> 00:56:29.270) S33-P1226 (00:56:29.280 --> 00:56:31.230) S33-P1227 (00:56:31.240 --> 00:56:34.390) S33-P1228 (00:56:34.400 --> 00:56:37.589) S33-P1229 (00:56:37.599 --> 00:56:41.190) S33-P1230 (00:56:41.200 --> 00:56:44.150) S33-P1231 (00:56:44.160 --> 00:56:46.789) S33-P1232 (00:56:46.799 --> 00:56:48.950) S33-P1233 (00:56:48.960 --> 00:56:50.710) S33-P1234 (00:56:50.720 --> 00:56:52.950) S33-P1235 (00:56:52.960 --> 00:56:54.470) S33-P1236 (00:56:54.480 --> 00:56:57.349) S33-P1237 (00:56:57.359 --> 00:56:58.630) S33-P1238 (00:56:58.640 --> 00:56:59.910) S33-P1239 (00:56:59.920 --> 00:57:01.510) S33-P1240 (00:57:01.520 --> 00:57:04.150) S33-P1241 (00:57:04.160 --> 00:57:06.390) S33-P1242 (00:57:06.400 --> 00:57:07.829) S33-P1243 (00:57:07.839 --> 00:57:10.950) S33-P1244 (00:57:10.960 --> 00:57:12.630) S33-P1245 (00:57:12.640 --> 00:57:14.789) S33-P1246 (00:57:14.799 --> 00:57:17.349) S33-P1247 (00:57:17.359 --> 00:57:19.349) S33-P1248 (00:57:19.359 --> 00:57:21.030) S33-P1249 (00:57:21.040 --> 00:57:22.789) S33-P1250 (00:57:22.799 --> 00:57:24.230) S33-P1251 (00:57:24.240 --> 00:57:27.190) S33-P1252 (00:57:27.200 --> 00:57:29.750) S33-P1253 (00:57:29.760 --> 00:57:31.190) S33-P1254 (00:57:31.200 --> 00:57:33.030) S33-P1255 (00:57:33.040 --> 00:57:33.710) S33-P1256 (00:57:33.720 --> 00:57:35.670) S33-P1257 (00:57:35.680 --> 00:57:37.910) S33-P1258 (00:57:37.920 --> 00:57:38.950) S33-P1259 (00:57:38.960 --> 00:57:40.549) S33-P1260 (00:57:40.559 --> 00:57:42.950) S33-P1261 (00:57:42.960 --> 00:57:45.510) S33-P1262 (00:57:45.520 --> 00:57:48.549) S33-P1263 (00:57:48.559 --> 00:57:51.030) S33-P1264 (00:57:51.040 --> 00:57:52.309) S33-P1265 (00:57:52.319 --> 00:57:54.549) S33-P1266 (00:57:54.559 --> 00:57:55.829) S33-P1267 (00:57:55.839 --> 00:57:57.510)

Strategy and regime

Automation followed failed signal-following and emotional trading

S34 | Naoufel | B: Reported experience

Attribution: highUnverified personal or historical report

Naoufel describes unsuccessful chat rooms, social-media accounts and signal subscriptions. He switched toward systems because emotions clouded decisions and a guru-auditing website reportedly found algorithmic traders willing to provide statements. That selection story explains his path, not evidence that only algorithms work. He says his family moved from Casablanca to Canada when he was young and he has traded algorithmically full time since the stated start year.

ELI5: He changed the process after following other people and improvising failed.

S34-P0039 (L48) S34-P0040 (L48) S34-P0062 (L48) S34-P0063 (L48)

Numbers

  • Value
    13
    Context
    Age at immigration
    Ref
    S34-P0039 (L48)
    Source excerpt
    at the age of 13
  • Value
    2013
    Context
    Reported full-time algorithmic start
    Ref
    S34-P0039 (L48)
    Source excerpt
    since 2013 fulltime

Development / Psychology and decisions

Low hit rate requires sufficiently large winners

S34 | Naoufel | A: Explicit statement

Attribution: highExplicit process description, not independent performance evidence

He prefers breakout systems with a relatively low hit rate and favorable average win relative to loss. The risk/reward example is an illustration of expectancy, not a guarantee that his portfolio obtains those exact averages. The host contrasts this with his own high-win-rate short selling that could lose accumulated gains in one bad day.

ELI5: How much each win and loss costs matters as much as how often you win.

S34-P0041 (L48) S34-P0042 (L48)

Numbers

  • Value
    40%
    Context
    Illustrative breakout success rate
    Ref
    S34-P0041 (L48)
    Source excerpt
    around 40% success
  • Value
    100 / 200
    Context
    Illustrative risk and reward
    Ref
    S34-P0041 (L48)
    Source excerpt
    if you risk 100 you need to make 200

Losses and survival

Host warns that frequent wins can conceal a catastrophic loser

S34 | Stephen Johnson | B: Reported experience

Attribution: highUnverified personal or historical report

Stephen describes previously boasting about a high short-selling win rate while occasionally losing all accumulated gains in a single day. This is host experience, not Naoufel portfolio data.

ELI5: Many small wins can be erased by one uncontrolled loss.

S34-P0042 (L48)

Numbers

  • Value
    80%
    Context
    Host-reported former win rate
    Ref
    S34-P0042 (L48)
    Source excerpt
    an 80% win rate

Losses and survival

Displayed account is only part of the trader portfolio

S34 | Naoufel | B: Reported experience

Attribution: highUnverified personal or historical report

Naoufel says he has multiple accounts and connected one for transparency. The screen discussion further filters that account to stocks, excluding more complicated futures/options activity. Neither the interview headline nor this subset supplies a complete independently audited wealth or strategy record.

ELI5: A shown account or stock filter is not the whole business.

S34-P0043 (L48) S34-P0045 (L48) S34-P0046 (L48)

Numbers

  • Value
    2018 / 2019
    Context
    Uncertain start of displayed account tracking
    Ref
    S34-P0043 (L48)
    Source excerpt
    late 2018 start 2019
  • Value
    73k
    Context
    Approximate stock-only year-to-date profit reported on screen
    Ref
    S34-P0045 (L48)
    Source excerpt
    around 73k

Evidence and limitations

Long losing streaks are expected in the described breakout style

S34 | Naoufel | A: Explicit statement

Attribution: highExplicit process description, not independent performance evidence

The uneven equity curve is attributed to low win frequency and streaks of losses followed by larger wins. Naoufel emphasizes that knowing this statistically does not remove the psychological difficulty. The interview does not provide the actual trade sequence or prove the streak distribution.

ELI5: A working low-hit-rate system can still lose repeatedly.

S34-P0044 (L48) S34-P0053 (L48) S34-P0054 (L48)

Numbers

  • Value
    15 / 20
    Context
    Possible consecutive losing trades described
    Ref
    S34-P0044 (L48)
    Source excerpt
    15 20 trade in a row

Losses and survival / Psychology and decisions

Reallocation uses instrument-level performance

S34 | Naoufel | A: Explicit statement

Attribution: highExplicit process description, not independent performance evidence

He inspects top and bottom symbols and compares systems to players on a football team: allocate toward stronger performers and remove weaker ones. Nvidia, Apple, Shopify-like caption, TMF, Netflix and Amazon are examples discussed, not a permanent recommended universe. Selection windows and minimum sample sizes are absent, leaving a risk of chasing recent winners.

ELI5: Keep reviewing each part of the portfolio, but do not confuse a hot streak with skill.

S34-P0044 (L48) S34-P0045 (L48) S34-P0046 (L48) S34-P0047 (L48) S34-P0048 (L48)

Exceptions

  • No selection window, significance threshold or exposure cap is stated.

Sizing and exposure / Learning and review

System builders lower the coding barrier but generate overfit candidates

S34 | Naoufel | A: Explicit statement

Attribution: highExplicit process description, not independent performance evidence

He uses a product identified in the description as StrategyQuantX, with badly transcribed spoken variants. He selects indicators, has the software combine rules, and exports code to platforms such as TradeStation/EasyLanguage or NinjaTrader. He acknowledges trading some systems whose economic logic he does not understand and relies instead on robustness filtering. These are historical product capabilities and personal practices, not current verified specifications.

ELI5: Software can invent rules quickly; proving the rules survive is the hard part.

S34-P0049 (L48) S34-P0050 (L48) S34-P0051 (L48) S34-P0064 (L48) S34-P0065 (L48)

Testing and automation

Low-win-rate superiority is his research impression, not a general law

S34 | Naoufel | B: Reported experience

Attribution: highUnverified personal or historical report

Naoufel says many high-win-rate systems fail live in his testing and that lower-win-rate candidates have seemed more likely to survive. This is a selection-conditioned observation without a disclosed candidate pool or comparative study. It should not become a requirement that all useful systems must lose most trades.

ELI5: His experience favors one family of systems; it does not settle every strategy.

S34-P0053 (L48)

Testing and automation / Evidence and limitations

Risk-of-ruin calculator demonstration depends on inputs and assumptions

S34 | Naoufel | E: Unclear or conflicting

Attribution: mediumAmbiguous transcript or unverified generalization

He illustrates how hit rate, payoff and risk fraction interact. The transcript describes a very high ruin output for a poor combination and a zero-looking output for a different combination. The calculator, horizon, distributional assumptions and definition of ruin are not supplied. A displayed zero is not a guarantee, and the speaker partly qualifies his language.

ELI5: A calculator cannot promise survival if its assumptions are wrong.

S34-P0054 (L48) S34-P0055 (L48) S34-P0056 (L48)

Numbers

  • Value
    1.5 / 30% / 3% / 99%
    Context
    Illustrative payoff, accuracy, account risk and reported calculator output
    Ref
    S34-P0055 (L48)
    Source excerpt
    payoff of about 1.5
  • Value
    0.5%
    Context
    Second illustrative risk fraction with 40% accuracy and 2:1 payoff
    Ref
    S34-P0055 (L48)
    Source excerpt
    you risk 0.5% drop to zero

Sizing and exposure / Losses and survival

Deactivate a system when its drawdown exceeds its backtest experience

S34 | Naoufel | A: Explicit statement

Attribution: highExplicit process description, not independent performance evidence

He monitors whether losses resemble the backtest and says he will turn off and replace an algorithm when drawdown exceeds its historical backtest drawdown. This is an explicit criterion, but the interview omits treatment of estimation error, slippage, restarts and correlated strategy failures.

ELI5: Decide when a system has stopped behaving as expected.

S34-P0056 (L48) S34-P0058 (L48)

Exits and adjustments / Losses and survival

Continuous strategy mining supplies replacement candidates

S34 | Naoufel | A: Explicit statement

Attribution: highExplicit process description, not independent performance evidence

A dedicated server runs the system miner continuously across markets or individual stocks. It can search for a week without finding a tradable result, prompting a change of symbol or market. The goal is a reserve of candidates rather than assuming an existing strategy will work forever.

ELI5: Keep researching replacements before the current method fails.

S34-P0057 (L48) S34-P0058 (L48)

Numbers

  • Value
    24/7
    Context
    Reported dedicated-server workflow
    Ref
    S34-P0057 (L48)
    Source excerpt
    run 247
  • Value
    week
    Context
    Possible search duration without tradable candidate
    Ref
    S34-P0058 (L48)
    Source excerpt
    mine for nearly a week

Learning and review / Testing and automation

Daily monitoring remains labor even after execution is automated

S34 | Naoufel | E: Unclear or conflicting

Attribution: mediumAmbiguous transcript or unverified generalization

Most of his work is checking system results against expected behavior at the end of the day. The caption gives the portfolio count as "80 to 990", which is implausibly ambiguous and must not be silently corrected to a precise count. Monitoring also helps him regain confidence through normal drawdowns.

ELI5: The robot places trades; the researcher still supervises the systems.

S34-P0058 (L48) S34-P0059 (L48) S34-P0060 (L48)

Numbers

  • Value
    80 to 990
    Context
    Unclear caption for number of algorithms; no correction asserted
    Ref
    S34-P0058 (L48)
    Source excerpt
    80 to 990 Al

Psychology and decisions / Learning and review / Testing and automation

Course sales and possible leasing are part of the interview context

S34 | Naoufel | B: Reported experience

Attribution: highUnverified personal or historical report

The host jokes about renting the system; Naoufel describes an existing course with a partner and possible future leasing. He argues a seller should trade the same system with real money. This is a useful question for due diligence but not proof a subscriber will reproduce returns. The promotional incentives belong alongside the strategy discussion.

ELI5: Ask whether the seller actually uses it, then still test it yourself.

S34-P0060 (L48) S34-P0061 (L48) S34-P0062 (L48)

Learning and review / Evidence and limitations

Secrecy is framed as protection against crowding

S34 | Naoufel | A: Explicit statement

Attribution: highExplicit process description, not independent performance evidence

He says algorithmic traders often avoid sharing exact systems because adoption may weaken the edge. The interview therefore provides research workflow and one simple example rather than a full replicable production portfolio. The crowding mechanism is asserted without measurements.

ELI5: A public explanation may leave out the rules that make the live system different.

S34-P0064 (L48) S34-P0065 (L48)

Sizing and exposure / Evidence and limitations

Incubation separates discovery from prospective observation

S34 | Naoufel | A: Explicit statement

Attribution: highExplicit process description, not independent performance evidence

His process moves from in-sample and out-of-sample testing into simulation for several months, looking especially for behavior in choppy or volatile conditions rather than only a rising market. He keeps many candidates in incubation, then considers risk-adjusted return, Sharpe and profit factor. Exact acceptance cutoffs and safeguards against repeatedly reusing the holdout are not given.

ELI5: Make a new system face data it did not learn from.

S34-P0065 (L48) S34-P0066 (L48) S34-P0067 (L48)

Numbers

  • Value
    3 to 4 months
    Context
    Suggested simulation incubation period
    Ref
    S34-P0066 (L48)
    Source excerpt
    next three month four months

Testing and automation

Turnaround Tuesday gives a partially specified simple rule

S34 | Naoufel | A: Explicit statement

Attribution: highExplicit process description, not independent performance evidence

The example requires a Monday close below its open, holds for one bar/day and specifies a percentage stop. Apple is the initial test symbol. Direction is strongly implied as buying a reversal but is not explicitly stated in the audible rule text; precise order timing is absent. A final Monday close cannot be known early enough to assume a guaranteed fill at that same closing print.

ELI5: A red Monday is a testable clue, but the exact entry still needs definition.

S34-P0068 (L48) S34-P0069 (L48) S34-P0070 (L48)

Numbers

  • Value
    1 bar
    Context
    Exit horizon
    Ref
    S34-P0069 (L48)
    Source excerpt
    exit after one bar
  • Value
    5%
    Context
    Illustrative price stop, not account risk
    Ref
    S34-P0069 (L48)
    Source excerpt
    stop loss of 5%
  • Value
    58%
    Context
    Approximate Apple backtest winning rate, unverified
    Ref
    S34-P0069 (L48)
    Source excerpt
    about 58%

Entries and execution / Exits and adjustments / Evidence and limitations

Instrument choice changes the reported turnaround backtest

S34 | Naoufel | E: Unclear or conflicting

Attribution: mediumAmbiguous transcript or unverified generalization

He contrasts a low Apple annual-return figure with higher figures on a leveraged broad-market ETF. The transcript names UPRO while calling it a two-times SPY ETF. Preserve that conflict instead of inferring a definitive symbol/leverage specification. Backtest dates, costs, dividends, leverage mechanics and capital convention are absent.

ELI5: Changing the instrument can change both the return and risk in the test.

S34-P0070 (L48) S34-P0071 (L48) S34-P0072 (L48)

Numbers

  • Value
    1.9%
    Context
    Apple test annual return cited
    Ref
    S34-P0070 (L48)
    Source excerpt
    1.9%
  • Value
    15% / 14%
    Context
    ETF test annual average return and drawdown cited
    Ref
    S34-P0071 (L48)
    Source excerpt
    about 15% your drw down pretty much uh normal 14%
  • Value
    2X
    Context
    Spoken leverage claim conflicts with named ETF; not verified
    Ref
    S34-P0070 (L48)
    Source excerpt
    a 2X the Spy ETF

Strategy and regime / Testing and automation

Broad-market testing is offered as a response to stock selection bias

S34 | Naoufel | A: Explicit statement

Attribution: highExplicit process description, not independent performance evidence

He suggests testing a broad-market ETF instead of relying only on current successful individual stocks. This addresses one selection issue but does not by itself cure repeated strategy search or cherry-picked test periods. His stated objective is a portfolio of replaceable simple systems.

ELI5: Avoid judging a rule only on the stocks that later became famous winners.

S34-P0071 (L48) S34-P0072 (L48)

Sizing and exposure / Evidence and limitations

Trade exports support a retrospective drawdown sizing experiment

S34 | Naoufel | B: Reported experience

Attribution: highUnverified personal or historical report

He exported trades to CSV/Excel to compare a baseline with reduced allocation after drawdown. The examples halve allocation or cut it by three quarters when drawdown reaches the stated trigger, with full sizing restored on an equity high. He reports lower drawdown and higher profit in this simulation, with longer stagnation as a cost. The reference equity series, path accounting and exact return-to-full-size condition are insufficiently specified for a faithful reproduction.

ELI5: Test whether stepping back after losses helps, including the slower recovery it can cause.

S34-P0073 (L48) S34-P0074 (L48) S34-P0075 (L48) S34-P0076 (L48)

Numbers

  • Value
    5%
    Context
    Simulation drawdown trigger
    Ref
    S34-P0074 (L48)
    Source excerpt
    if I hit 5% Dr down
  • Value
    50%
    Context
    First allocation reduction
    Ref
    S34-P0074 (L48)
    Source excerpt
    by 50%
  • Value
    75%
    Context
    Alternative allocation reduction
    Ref
    S34-P0075 (L48)
    Source excerpt
    by 75%
  • Value
    100%
    Context
    Restore original sizing after equity high
    Ref
    S34-P0076 (L48)
    Source excerpt
    go 100%

Sizing and exposure / Testing and automation

Educator selection and matching risk are distinct from copying signals

S34 | Naoufel | A: Explicit statement

Attribution: highExplicit process description, not independent performance evidence

He advises choosing someone who trades the same style with real money and examining allocation, average and maximum loss and drawdown. He claims closer matching of these statistics makes similar results more likely. That is his claim: different fills, costs, timing, implementation and future regimes remain untested.

ELI5: Copying an entry without its risk process does not copy the strategy.

S34-P0077 (L48) S34-P0078 (L48) S34-P0079 (L48) S34-P0080 (L48) S34-P0081 (L48)

Learning and review / Evidence and limitations

The key skill is the candidate rejection process

S34 | Naoufel | A: Explicit statement

Attribution: highExplicit process description, not independent performance evidence

He argues a system builder is useful but insufficient: unsuccessful users often lack an effective curve-fit filter. The bottleneck moved from writing code to finding a defensible robustness workflow. His own complete filtering procedure is not disclosed.

ELI5: Generating hundreds of rules is easier than rejecting the bad ones.

S34-P0078 (L48) S34-P0079 (L48) S34-P0080 (L48)

Learning and review / Testing and automation

Scale, capital and liquidity constrain dollar outcomes

S34 | Naoufel | A: Explicit statement

Attribution: highExplicit process description, not independent performance evidence

He answers a millionaire-system question by emphasizing deployed capital, size, leverage and liquid instruments. References to famous traders and a specific annual return are unverified conversational illustrations, not audited comparisons or a reason to increase leverage.

ELI5: A return percentage and a dollar fortune are different quantities.

S34-P0082 (L48) S34-P0083 (L48)

Numbers

  • Value
    20,000
    Context
    Illustrative small allocation in scaling discussion
    Ref
    S34-P0082 (L48)
    Source excerpt
    only $20,000
  • Value
    66%
    Context
    Guest claim about Jim Simons, not independently checked
    Ref
    S34-P0083 (L48)
    Source excerpt
    66% per year

Sizing and exposure

Automation is offered as protection from emotional failure, not market gaps

S34 | Naoufel | A: Explicit statement

Attribution: highExplicit process description, not independent performance evidence

He argues rules can keep executing when personal events impair judgment and contrasts automated exits with hoping a losing trade will reverse. In the DRUG discussion he acknowledges a halt and movement beyond the stop; nothing establishes a guaranteed loss cap. His prediction that algorithms will wipe out retail is an opinion, not demonstrated evidence.

ELI5: Automation may enforce a decision, but it cannot guarantee the price.

S34-P0084 (L48) S34-P0085 (L48) S34-P0086 (L48) S34-P0087 (L48)

Exceptions

  • Execution during a halt, outages, unavailable liquidity and gap fills are not solved by the interview.

Losses and survival / Psychology and decisions / Testing and automation

The closing development story includes account blowups

S34 | Naoufel | B: Reported experience

Attribution: highUnverified personal or historical report

He closes by saying he blew up multiple accounts, including an unclear phrase about money borrowed or lost. The exact funding story cannot be recovered confidently. Persistence, consistency, patience and an appropriate mentor are his retrospective explanation for improvement, with no denominator for people who persisted unsuccessfully.

ELI5: Preserve the failures as well as the success story.

S34-P0087 (L48) S34-P0088 (L48)

Development / Losses and survival / Concrete examples

A defensible test must keep discovery, selection and evaluation separate

S34 | Naoufel | D: Proposed application

Attribution: highProposed test

Analyst-proposed application: log every mined candidate and decision, freeze rules and universe before a holdout, then observe prospective performance with realistic costs. Measure correlated losses across systems, not just separate historical drawdowns. This extends the interview incubation idea; it is not a claimed description of Naoufel actual workflow.

ELI5: Do not let the answer key leak into the exam.

S34-P0050 (L48) S34-P0056 (L48) S34-P0065 (L48) S34-P0066 (L48) S34-P0067 (L48)

Testing and automation

Two apparently complete examples still leave important implementation gaps

S34 | Naoufel | C: Analyst inference

Attribution: highAnalyst inference

Analyst inference: the calendar reversal and drawdown allocation experiments are easier to specify than the undisclosed portfolio, but neither establishes a production-ready algorithm. The former lacks exact entry/fill convention and a consistent ETF specification; the latter lacks the equity reference path and restoration mechanics. Both need preregistered alternatives rather than invented source rules.

ELI5: A promising recipe still needs all its measurements.

S34-P0068 (L48) S34-P0069 (L48) S34-P0070 (L48) S34-P0074 (L48) S34-P0075 (L48) S34-P0076 (L48)

Testing and automation / Evidence and limitations

The host separates research interest from available screen time

S34 | Stephen Johnson | B: Reported experience

Attribution: highUnverified personal or historical report

Stephen says he has backtested high-win-rate methods on many observations but lacks time to watch the market all day. He suggests emotional management may be harder than discovering an edge. Naoufel responds by stressing the difficulty of tolerating low-hit-rate systems; this exchange does not establish how long a beginner takes to become competent.

ELI5: A method must fit both your schedule and your ability to execute it.

S34-P0052 (L48) S34-P0053 (L48)

Numbers

  • Value
    one or two or three years
    Context
    Host generalization about learning an edge, not a validated learning timeline
    Ref
    S34-P0052 (L48)
    Source excerpt
    one or two or three years
  • Value
    70% / 80%
    Context
    Host-reported strategies, not independently checked
    Ref
    S34-P0052 (L48)
    Source excerpt
    80% win rates I know strategies that with 70% win rates

Psychology and decisions / Lifestyle and constraints

Travel and freedom motivated discovery

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | B: Reported experience

Attribution: highexplicit process description

A random Steven Dux interview while traveling Thailand introduced trading as remote income. He describes curiosity and freedom rather than prior finance training.

ELI5: Trading appeared while he was looking for freedom.

S35-P0040 (L49) S35-P0041 (L49) S35-P0043 (L49)

Development

Hot repetition accelerated one-setup learning

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | A: Explicit statement

Attribution: highexplicit process description

After intensive daily study, one OTC panic-buy pattern with Level 2 clicked around early2021, about a year and a half into learning. Seeing large moves in late2020 had not itself meant knowing how to trade them.

ELI5: Repeated examples taught one concrete setup.

S35-P0044 (L49) S35-P0045 (L49) S35-P0046 (L49) S35-P0047 (L49) S35-P0048 (L49)

Development / Learning and review

Sizing followed perceived competence and new deposits

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | A: Explicit statement

Attribution: highexplicit process description

He initially overtraded but stayed cautious in size, then added capital when he felt he understood OTC dips. The larger earnings therefore do not demonstrate purely compounded growth from a tiny initial account.

ELI5: Skill confidence and added money both preceded bigger profits.

S35-P0046 (L49) S35-P0049 (L49) S35-P0050 (L49) S35-P0051 (L49) S35-P0052 (L49)

Sizing and exposure / Evidence and limitations

Record starts after earlier small account

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | E: Unclear or conflicting

Attribution: highexplicit process description

Kinfo curve begins May2020 with roughly six earlier months at an offshore broker omitted. Title175K, introduction177K, description140K and chapter115K differ; the interview describes an approximate220K peak, not a single precise headline history.

ELI5: Several headline numbers describe an incomplete record.

S35-P0001 (L1) S35-P0012 (L14) S35-P0023 (L30) S35-P0039 (L49) S35-P0046 (L49) S35-P0051 (L49) S35-P0052 (L49)

Numbers

  • Value
    177,000
    Context
    Host introduction
    Ref
    S35-P0039 (L49)
    Source excerpt
    177,000
  • Value
    220,000
    Context
    Guest approximate peak
    Ref
    S35-P0052 (L49)
    Source excerpt
    about 220,000

Evidence and limitations

Support and lifestyle made early gains meaningful

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | A: Explicit statement

Attribution: highexplicit process description

He rented his home while traveling and stayed with family on return, sharing the first large profit period. This supplies financial and emotional context, not a strategy parameter.

ELI5: Family and a housing cushion were part of the story.

S35-P0052 (L49) S35-P0053 (L49)

Development

Regime transition exposed insufficient experience

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | B: Reported experience

Attribution: highexplicit process description

When OTC conditions changed he lacked technical and emotional ability to manage the larger account or adapt. He gave back roughly65K over the next year and recognized continued trading could destroy remaining gains.

ELI5: A method that worked in the boom did not transfer automatically.

S35-P0053 (L49) S35-P0054 (L49) S35-P0059 (L49)

Numbers

  • Value
    65k
    Context
    Approximate drawdown
    Ref
    S35-P0054 (L49)
    Source excerpt
    about 65k

Strategy and regime / Losses and survival

Withdrawal and cash account changed behavior

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | A: Explicit statement

Attribution: highexplicit process description

He withdrew most capital and switched to cash to constrain revenge trading and repeated attempts. He wants to retain that structure even with a larger account. It is a behavioral restriction, not a price-loss guarantee.

ELI5: He reduced his ability to keep chasing.

S35-P0054 (L49) S35-P0059 (L49) S35-P0060 (L49) S35-P0061 (L49)

Losses and survival

Teacher fit and narrower listed-long goal

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | B: Reported experience

Attribution: highexplicit process description

After a flat search period among teachers, he joined Roland Wolf in December2023 to learn listed-stock longs, reports daily interaction and renewed consistency. Attribution of all improvement to a teacher remains self-assessment.

ELI5: He sought instruction matched to the method he wanted.

S35-P0055 (L49) S35-P0056 (L49) S35-P0058 (L49)

Numbers

  • Value
    December 2023
    Context
    Reported teacher transition
    Ref
    S35-P0055 (L49)
    Source excerpt
    December um 2023
  • Value
    14 15k
    Context
    Approximate subsequent-year gain
    Ref
    S35-P0055 (L49)
    Source excerpt
    14 15k

Development / Learning and review

Mentor endorsement is not broker verification

S35 | Stephen Johnson | E: Unclear or conflicting

Attribution: highexplicit process description

Host explicitly says Roland was not on Kinfo and he had not seen broker statements, despite personal confidence. The episode should not transform this endorsement into independently verified mentor performance.

ELI5: Knowing a trader personally is a different evidence standard.

S35-P0056 (L49) S35-P0057 (L49) S35-P0106 (L49)

Development / Evidence and limitations

Realized profit differs from remaining wealth

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | B: Reported experience

Attribution: highexplicit process description

Guest corrects the suggestion that all historic profit remains: taxes and living costs consumed substantial withdrawals. He reports around200 percent growth of the smaller remaining ETrade account, with base and dates unspecified.

ELI5: Money earned is not the same as money still saved.

S35-P0062 (L49) S35-P0063 (L49)

Numbers

  • Value
    200%
    Context
    Reported smaller-account growth, base unspecified
    Ref
    S35-P0063 (L49)
    Source excerpt
    about 200%

Sizing and exposure / Evidence and limitations

OTC panic method remains historically underspecified

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | A: Explicit statement

Attribution: highexplicit process description

He names panic buying using Level2 in hot OTC conditions, but brings no old charts and gives no exact trigger, stop or sell procedure. It explains early success without being a replicable recipe.

ELI5: The old method is named, not fully taught.

S35-P0047 (L49) S35-P0048 (L49) S35-P0064 (L49)

Strategy and regime / Evidence and limitations

First green day requires a strong prior run

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | A: Explicit statement

Attribution: highexplicit process description

Favorite listed long starts with a major high-volume run, then decline and potential first bounce. A weak prior move is explicitly rejected as a first-green-day candidate later.

ELI5: The bounce setup needs a meaningful prior crowd.

S35-P0065 (L49) S35-P0066 (L49) S35-P0094 (L49)

Strategy and regime

Base and retracement define risk location

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | A: Explicit statement

Attribution: highexplicit process description

He looks for substantial retracement, repeated support tests and basing. Premarket pop and volume are useful clues but not strict prerequisites; he wants entry near the retracement low rather than chase the pop.

ELI5: Buy close to the level that proves the idea wrong.

S35-P0067 (L49) S35-P0068 (L49) S35-P0076 (L49) S35-P0077 (L49) S35-P0078 (L49)

Strategy and regime / Entries and execution

PSTV example shows planned small distance, not fixed loss

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | B: Reported experience

Attribution: highexplicit process description

He recalls about1.29 entry against1.25, selling pieces into marked levels up to roughly1.70. Four cents is planned per-share distance, not guaranteed stop fill or account loss. He missed a second leg.

ELI5: A tight planned stop supported a larger possible move.

S35-P0068 (L49) S35-P0069 (L49)

Numbers

  • Value
    129
    Context
    Captioned entry interpreted1.29
    Ref
    S35-P0068 (L49)
    Source excerpt
    about 129
  • Value
    125
    Context
    Captioned risk level interpreted1.25
    Ref
    S35-P0068 (L49)
    Source excerpt
    risking uh 125
  • Value
    4 cents
    Context
    Planned per-share distance
    Ref
    S35-P0068 (L49)
    Source excerpt
    4 cents risk
  • Value
    170ish
    Context
    Approximate best sale interpreted1.70
    Ref
    S35-P0068 (L49)
    Source excerpt
    170ish

Losses and survival / Concrete examples

Backside bounce still needs profit taking

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | A: Explicit statement

Attribution: highexplicit process description

He warns first green days are usually backside moves, so the company need not become sound or resume a permanent uptrend. He sells into strength rather than require full recovery.

ELI5: A temporary bounce is enough for the trade.

S35-P0068 (L49) S35-P0069 (L49) S35-P0070 (L49) S35-P0071 (L49) S35-P0072 (L49)

Exits and adjustments / Losses and survival

Fear is contextual, not an inverse signal by itself

S35 | Analyst | C: Analyst inference

Attribution: highexplicit process description

He feels fear of support cracking/slippage and describes buying where others fear and selling euphoria. Analyst qualification: this is within his researched setup; automatically opposing every emotion would drop the selection and invalidation requirements.

ELI5: Discomfort alone is not a buy signal.

S35-P0071 (L49) S35-P0072 (L49) S35-P0074 (L49) S35-P0075 (L49)

Strategy and regime / Psychology and decisions

Market-maker explanation is host speculation

S35 | Stephen Johnson and Aiden | E: Unclear or conflicting

Attribution: highexplicit process description

Stephen infers intentional level manipulation from earlier interviews; guest says it adds conviction. This is not direct evidence of why the displayed stock bounced.

ELI5: A plausible story is not observed order flow intent.

S35-P0073 (L49) S35-P0074 (L49)

Evidence and limitations

Volume contraction may trap shorts

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | A: Explicit statement

Attribution: highexplicit process description

He interprets heavy earlier volume followed by a sharp decline in liquidity as leaving large shorts unable to cover without moving price. This is his mechanism hypothesis; positions and actual short inventory are not measured.

ELI5: A smaller exit door may squeeze an earlier crowd.

S35-P0079 (L49) S35-P0080 (L49)

Strategy and regime / Entries and execution

Correct direction can still lose through sizing

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | B: Reported experience

Attribution: highexplicit process description

On an unnamed January8 example, he over-sized after a premarket pop, saw about1000 open profit, imagined five figures, added far from risk, then added at arbitrary levels. A small support break triggered a panicked exit around1500 loss.

ELI5: He made a bigger bet as the risk distance got worse.

S35-P0081 (L49) S35-P0082 (L49) S35-P0083 (L49) S35-P0084 (L49)

Numbers

  • Value
    1500
    Context
    Approximate loss
    Ref
    S35-P0084 (L49)
    Source excerpt
    think 1500

Sizing and exposure / Losses and survival / Psychology and decisions

Cash restriction also prevented a later valid attempt

S35 | Analyst | C: Analyst inference

Attribution: highexplicit process description

After spending available cash on early attempts he could only watch a failed breakdown reclaim the premarket low and surge. The behavioral guardrail prevented revenge but also removed flexibility for a better signal.

ELI5: The brake stopped both more mistakes and another opportunity.

S35-P0082 (L49) S35-P0084 (L49) S35-P0085 (L49)

Strategy and regime

Failed breakdown and reclaim strengthen bounce case

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | A: Explicit statement

Attribution: highexplicit process description

In the losing-trade review, repeated inability to break lower followed by reclaim of the premarket low was the stronger tell. This is a contextual confirmation, not evidence that he actually bought the successful reversal.

ELI5: The second hold and reclaim were clearer than the first guess.

S35-P0084 (L49) S35-P0085 (L49)

Strategy and regime

Calm afterward is not perfect discipline

S35 | Analyst | C: Analyst inference

Attribution: highexplicit process description

He says he accepted the loss calmly because he had accepted taking a large loss, but the entry/add sequence was still undisciplined. Host alcohol comments and personality judgments are host views, not a recommended coping method.

ELI5: Composure after a mistake does not make the trade correct.

S35-P0085 (L49) S35-P0086 (L49) S35-P0087 (L49)

Psychology and decisions / Learning and review

Obsession has reported physical costs

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | B: Reported experience

Attribution: highexplicit process description

He struggles to switch off, thinks of charts at the gym and describes bodily tightness. He considers months away from the computer. Claims about adrenaline are his interpretation, not medical findings; host glorification of obsession should not erase this cost.

ELI5: Constant engagement was becoming a burden.

S35-P0088 (L49) S35-P0089 (L49) S35-P0090 (L49)

Psychology and decisions

Some trades come from live regime recognition

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | A: Explicit statement

Attribution: highexplicit process description

He distinguishes studied patterns from discretionary adaptations when recent stocks share behavior. Conviction comes from recognizing current recurrence, but no sample threshold or test protects against overreading a small cluster.

ELI5: He sometimes trades a new pattern before formal study.

S35-P0091 (L49) S35-P0092 (L49) S35-P0093 (L49)

Learning and review

Offering-related gap-down spikes were a local pattern

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | A: Explicit statement

Attribution: highexplicit process description

He observed stocks with recent offerings gap down and later spike. SUNE was on his scanner but the initial run was too weak for his preferred first-green-day setup; he waited for a later breakout opportunity.

ELI5: A bad-news stock can behave differently in a particular market.

S35-P0093 (L49) S35-P0094 (L49) S35-P0095 (L49)

Strategy and regime

Analogous leader gave breakout conviction

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | A: Explicit statement

Attribution: highexplicit process description

He used a prior-day HMR breakout as an analogy for SUNE, despite missing HMR because he lacked a good entry. Familiarity from earlier scans helped identify the later opportunity. Ticker HMR is retained as captioned.

ELI5: A recent similar move shaped what he watched next.

S35-P0094 (L49) S35-P0095 (L49) S35-P0096 (L49)

Strategy and regime

Anticipate major breakout from lower key level

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | A: Explicit statement

Attribution: highexplicit process description

Instead of buying the obvious52-cent breakout, he targeted the lower first-green-day high, then an opening pullback with firm Level2/tape. He planned partial sales along the way, including into the main breakout, leaving a piece for continuation.

ELI5: Enter before the crowded trigger with a nearer risk reference.

S35-P0096 (L49) S35-P0097 (L49) S35-P0098 (L49)

Numbers

  • Value
    52 cents
    Context
    Main breakout level in example
    Ref
    S35-P0096 (L49)
    Source excerpt
    52 cents
  • Value
    60 cents
    Context
    Approximate best sale just above this
    Ref
    S35-P0098 (L49)
    Source excerpt
    just over 60 cents

Entries and execution / Exits and adjustments

No fixed R multiple or current win rate

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | E: Unclear or conflicting

Attribution: highexplicit process description

He judges attractive risk/reward visually and wants tight risk with large room; he gives no fixed required ratio. He does not know current win rate because aggregate Kinfo includes older overtrading. Host35-50 percent examples and10-15R suggestions are not his measured statistics. Caption two-cent risk with25-dollar upside is unclear, not a parameter.

ELI5: The interview does not give a numeric expectancy model.

S35-P0099 (L49) S35-P0100 (L49) S35-P0101 (L49) S35-P0102 (L49)

Losses and survival

Begin small and evaluate consistency before growth

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | A: Explicit statement

Attribution: highexplicit process description

Advice to his sister: expect no first-year income, use capital one can lose as education, then increase after consistent percentage gains. There is no defined sample or drawdown criterion for scaling.

ELI5: Prove a repeatable process before making the bet larger.

S35-P0103 (L49) S35-P0104 (L49) S35-P0105 (L49)

Sizing and exposure / Learning and review

Interest sustains work but leaving need not be failure

S35 | Aiden, Below Trading (Bellow/Belove caption variants) | A: Explicit statement

Attribution: highexplicit process description

He attributes survival mainly to interest and rejects having fully made it. He notes some people reasonably discover trading is not for them and that low entry barriers complicate failure-rate rhetoric.

ELI5: Not every person who stops has failed at a life goal.

S35-P0107 (L49) S35-P0108 (L49) S35-P0109 (L49)

Losses and survival

Profit headline is not a reconciled strategy record

S36 | Host, description and guest | E: Unclear or conflicting

Attribution: highperformance claims with scope/caption ambiguity

The title says $243K while host discusses roughly $140K over the last year and guest gives a roughly $130K-plus year figure with caption ambiguity. He also has a separate options strategy not on this record. These figures have different scopes and should not be merged.

ELI5: Know which account and period a number describes.

S36-P0001 (L1) S36-P0012 (L14) S36-P0035 (L44) S36-P0041 (L44) S36-P0042 (L44) S36-P0073 (L44)

Numbers

  • Value
    $243K
    Context
    title
    Ref
    S36-P0001 (L1)
    Source excerpt
    $243K
  • Value
    $140K
    Context
    host last-year claim
    Ref
    S36-P0035 (L44)
    Source excerpt
    $140,000

Evidence and limitations

He learned from Dux but values the work behind the outcome

S36 | Pace | A: Explicit statement

Attribution: highexplicit process description

A shared Chinese/student background made Steven Dux relatable; Pace particularly emphasizes tracking stats, volume and patterns and says some strategies derive from the course. The transferable lesson he identifies is research effort, not nationality or imitation alone.

ELI5: Copy the diligence, not just the trade.

S36-P0036 (L44) S36-P0037 (L44) S36-P0038 (L44) S36-P0039 (L44)

Development / Learning and review

Several strategies failed before he found fit

S36 | Pace | A: Explicit statement

Attribution: highexplicit process description

He began in 2020, tried large caps, swing trades, options and momentum, and struggled for roughly two years. Later progress came from an approach fitting his accuracy preference and accumulated chart familiarity.

ELI5: Trying a method is not the same as being able to execute it.

S36-P0039 (L44) S36-P0040 (L44) S36-P0068 (L44) S36-P0070 (L44)

Development

Accuracy and payoff need separate improvement

S36 | Pace | A: Explicit statement

Attribution: highexplicit process description

He reports about two-thirds wins while average reward-to-risk is near or below one-to-one, and wants to improve payoff while retaining accuracy. The two-to-one ratio he mentions is an aspiration, not current performance.

ELI5: Winning often does not tell you how much each loss costs.

S36-P0041 (L44) S36-P0042 (L44)

Numbers

  • Value
    about two-thirds
    Context
    caption-rendered accuracy
    Ref
    S36-P0041 (L44)
    Source excerpt
    about two3
  • Value
    near/below 1:1
    Context
    current described payoff ratio
    Ref
    S36-P0041 (L44)
    Source excerpt
    about 1 to one
  • Value
    2:1
    Context
    desired ideal ratio
    Ref
    S36-P0041 (L44)
    Source excerpt
    2 to one 2:1

Strategy and regime

Weekday analysis generates hypotheses, not proven causal filters

S36 | Pace | A: Explicit statement

Attribution: highreported statistics plus tentative explanation

He observes best results Friday and aggregate losses Thursday, and intends to avoid Thursday. His explanation about Monday and catalysts is speculative and the caption is unclear on exact rankings. There is no holdout evidence that dropping a weekday improves future results.

ELI5: A weak weekday needs testing before becoming a law.

S36-P0043 (L44) S36-P0044 (L44)

Testing and automation

Shanghai time makes the early premarket accessible

S36 | Pace | A: Explicit statement

Attribution: highexplicit process description

He can monitor the US early premarket during his local afternoon, unlike many US traders. This is an availability advantage, not a guaranteed informational edge; exact timezone conversion changes seasonally and is not independently verified here.

ELI5: His waking hours overlap an often-missed window.

S36-P0045 (L44) S36-P0046 (L44)

Learning and review

Early low-volume spikes sometimes fade quickly

S36 | Pace | A: Explicit statement

Attribution: highexplicit process description

He looks for unusual first-hour premarket squeezes without apparent news that often fade within minutes. Frequency and speed are informal estimates. The interview does not supply a sample, probability or exact scanner threshold.

ELI5: A thin spike may not have lasting buyers.

S36-P0047 (L44) S36-P0048 (L44)

Numbers

  • Value
    4-5 a.m.
    Context
    described US early window
    Ref
    S36-P0047 (L44)
    Source excerpt
    4 a.m and the 500 a.m.
  • Value
    10-30 minutes
    Context
    reported fade interval
    Ref
    S36-P0048 (L44)
    Source excerpt
    10 or 30 minutes

Strategy and regime

He explicitly discourages beginners from premarket execution

S36 | Pace | A: Explicit statement

Attribution: highexplicit process description

Wide spreads, low volume and unavailable stop orders in his discussed setup require careful monitoring and smaller exposure. Broker-specific stop restrictions are source claims, not a verified universal rule.

ELI5: A fast opportunity can also be hard to escape.

S36-P0047 (L44) S36-P0048 (L44)

Entries and execution / Losses and survival

Initial probes are small relative to intended full size

S36 | Pace | A: Explicit statement

Attribution: highexplicit process description

He illustrates an eventual several-hundred-share position started with roughly thirty shares and built gradually. Comfort and avoiding oversized front-side exposure guide this, but no account fraction or maximum adverse-price budget is disclosed.

ELI5: Start small while the squeeze may still continue.

S36-P0049 (L44) S36-P0050 (L44) S36-P0051 (L44)

Numbers

  • Value
    300-500 shares
    Context
    example eventual size
    Ref
    S36-P0049 (L44)
    Source excerpt
    300 shares or 500 shares
  • Value
    30 shares
    Context
    illustrative first probe
    Ref
    S36-P0049 (L44)
    Source excerpt
    30 shares the first time

Sizing and exposure

Weakness earns additions

S36 | Pace | A: Explicit statement

Attribution: highexplicit process description

He adds on a double top or, preferably, an uptrend-line breakdown, and potentially on a later consolidation break. He separates early probes from higher-conviction additions. Exact line drawing, confirmation and maximum add count are missing.

ELI5: Increase exposure after evidence changes, not just after price rises.

S36-P0050 (L44) S36-P0051 (L44)

Entries and execution

Low-volume premarket and high-volume regular squeezes are different

S36 | Pace | A: Explicit statement

Attribution: highexplicit process description

His thesis is that thin early squeezes are easier to fade because participation is limited; a regular-session high-volume squeeze is more dangerous. The host adds manipulation explanations and unsupported high failure percentages that are not guest-verified statistics.

ELI5: Volume and session can change the meaning of the same price rise.

S36-P0052 (L44) S36-P0053 (L44) S36-P0054 (L44) S36-P0064 (L44)

Strategy and regime / Losses and survival

Worked example starts with an extreme unexplained spike

S36 | Pace | E: Unclear or conflicting

Attribution: highexplicit process description

The discussed ticker is only captioned T, following a September 12 move and another early spike. Guest says roughly $4 to $100 in five minutes, while host reads about $3 to $130 over fifteen minutes from another view. Preserve different chart/timeframe descriptions rather than manufacture exact OHLC.

ELI5: The example is extreme, but the text is not an exact chart.

S36-P0055 (L44) S36-P0056 (L44) S36-P0059 (L44)

Numbers

  • Value
    $4 to $100 / five minutes
    Context
    guest description
    Ref
    S36-P0056 (L44)
    Source excerpt
    five minutes and it squeezed up from 4 to 100
  • Value
    $3 to $130 / fifteen minutes
    Context
    host chart description
    Ref
    S36-P0059 (L44)
    Source excerpt
    three to 130 in 15 minutes

Concrete examples

No-news check supported a squeeze thesis, not certainty

S36 | Pace | A: Explicit statement

Attribution: highexplicit process description

He checks for unusual news and concludes the move is a pure short squeeze. His language that he knows it will fade is conviction, not demonstrated certainty or a rule eliminating further upside.

ELI5: No obvious news does not mean price must fall now.

S36-P0056 (L44) S36-P0057 (L44)

Strategy and regime

Example adds followed red candle and irregular retest

S36 | Pace | B: Reported experience

Attribution: highreported trade with chart ambiguity

He took a small dangerous front-side entry, added on an early red candle and an irregular double-top/retest. Price levels vary in the narration and chart display confusion, so the example cannot be reduced to precise entry orders.

ELI5: The sequence is clearer than the exact prices.

S36-P0057 (L44) S36-P0058 (L44) S36-P0059 (L44) S36-P0060 (L44)

Entries and execution / Concrete examples

He stopped adding despite further breakdown

S36 | Pace | A: Explicit statement

Attribution: highexplicit process description

After reaching adequate position/profit potential he declined further adds because the regular session could halt upward or squeeze and a large position would be dangerous. This is a capacity/risk decision rather than maximizing every possible dollar.

ELI5: Enough exposure can be better than the largest exposure.

S36-P0060 (L44)

Sizing and exposure

Reported winning trade arithmetic is internally plausible

S36 | Pace | B: Reported experience

Attribution: highself-reported worked trade

He describes about 300 shares, a $60 average short and a cover around $10 for about $15K profit. Those approximate gross numbers align arithmetically, but fees, borrows and individual fills are not supplied.

ELI5: The rough math fits; the execution ledger is missing.

S36-P0060 (L44) S36-P0061 (L44)

Numbers

  • Value
    $60
    Context
    average entry
    Ref
    S36-P0060 (L44)
    Source excerpt
    average on this trade is $60
  • Value
    300 shares
    Context
    position, approximate
    Ref
    S36-P0061 (L44)
    Source excerpt
    I think I have 300 shares
  • Value
    $10
    Context
    regular-session cover, approximate
    Ref
    S36-P0061 (L44)
    Source excerpt
    covered around $10
  • Value
    $15K
    Context
    reported approximate profit
    Ref
    S36-P0061 (L44)
    Source excerpt
    15K yeah 15K

Concrete examples

Front-side caution is repeated despite a winning outcome

S36 | Pace | A: Explicit statement

Attribution: highexplicit process description

He admits fear even on a small entry around the spike and explicitly warns against large size before weakness. He contrasts LPA regular-session behavior as more difficult. A successful example is not evidence front-side shorting is safe.

ELI5: A winner can still illustrate a dangerous entry.

S36-P0061 (L44) S36-P0062 (L44)

Losses and survival / Concrete examples

Regular-session volume can invalidate the low-participation thesis

S36 | Pace | A: Explicit statement

Attribution: highexplicit process description

He would stop if the open produced repeated upward halts or strength above the premarket high with real volume, then possibly reconsider after a new weakness signal. The hypothetical 150 level is illustrative and no exact premarket emergency stop is provided.

ELI5: If real buyers arrive, the original reason can disappear.

S36-P0063 (L44) S36-P0064 (L44)

Exits and adjustments / Testing and automation

Withdrawals are his account-preservation practice

S36 | Pace | A: Explicit statement

Attribution: highexplicit process description

He cashes out after earning a fixed amount because shorting can produce margin calls or blowups. The amount and withdrawal schedule are not disclosed. This does not establish a legal cap on short liability beyond account equity.

ELI5: Taking profits out does not replace controlling the trade.

S36-P0065 (L44)

Losses and survival

Broker account-size discussion is historical and contextual

S36 | Pace | A: Explicit statement

Attribution: highhistorical interview account; not current regulatory guidance

He mentions a TradeZero account available at a small balance but says that is not useful to his larger position size. The hosts regulatory/minimum-balance statements are not verified current rules or advice.

ELI5: Opening an account is different from funding the risk.

S36-P0066 (L44) S36-P0067 (L44)

Evidence and limitations

Chart familiarity came from daily observation

S36 | Pace | A: Explicit statement

Attribution: highexplicit process description

He reviews small and large caps, Tesla and SPY to develop a feel for dangerous/fading behavior. He says books and videos alone could not give that familiarity. No formal pattern-recognition test is offered.

ELI5: Repeated observation builds context that a summary omits.

S36-P0070 (L44) S36-P0071 (L44)

Learning and review

Long-side fear pushed him toward high-accuracy styles

S36 | Pace | A: Explicit statement

Attribution: highexplicit process description

In his example a long dips slightly, he fears collapse and stops out before new highs. Shorting and out-of-money option selling feel more aligned to his belief about direction and desire for accuracy. This is personal psychology, not evidence shorting is objectively safer.

ELI5: The method he trusts is easier for him to follow.

S36-P0072 (L44) S36-P0073 (L44) S36-P0074 (L44)

Psychology and decisions

Separate option selling is only a concept in this interview

S36 | Pace | A: Explicit statement

Attribution: highexplicit process description

He says another larger-account strategy sells out-of-money options and is not displayed on Kinfo here. No underlying, expiry, width, size, entry, adjustment or tail-loss controls are disclosed. Do not attribute the short-stock record to this options method.

ELI5: A second strategy is mentioned, not explained.

S36-P0042 (L44) S36-P0073 (L44)

Strategy and regime

Persistence claims are motivational rather than guarantees

S36 | Pace | A: Explicit statement

Attribution: highexplicit motivational opinion

He reports friends leaving after unprofitable years and encourages those who love trading to keep studying. His assertion that time and pain will eventually be rewarded cannot be generalized from one survivor.

ELI5: Keep testing progress, not just counting effort.

S36-P0068 (L44) S36-P0069 (L44) S36-P0075 (L44) S36-P0076 (L44)

Learning and review

Six-month headline is a recognition artifact

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | E: Unclear or conflicting

Attribution: highexplicit process description

Guest explicitly explains that closed-position accounting makes multi-year holds appear as profit jumps in the last six months. The title/description should not be interpreted as all economic gains earned during that six-month interval.

ELI5: The profit was booked recently but built over longer holds.

S37-P0013 (L15) S37-P0042 (L53) S37-P0051 (L53) S37-P0052 (L53) S37-P0053 (L53)

Evidence and limitations

Small learning account and larger deployment are separate

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | B: Reported experience

Attribution: highexplicit process description

He started around20K, later moved to roughly200-220K after finding his niche, and describes one account approaching a million. Deposits/transfers are not reconciled, so this is not established20K-to-million pure compounding.

ELI5: He enlarged the capital base before large profits.

S37-P0049 (L53) S37-P0050 (L53)

Numbers

  • Value
    20K
    Context
    Initial learning account
    Ref
    S37-P0050 (L53)
    Source excerpt
    roughly 20K
  • Value
    200 220k
    Context
    Approximate later capital base
    Ref
    S37-P0050 (L53)
    Source excerpt
    200 220k

Development / Sizing and exposure

Engineering and employment shaped the method

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

He reports about20 years software engineering including Microsoft/Salesforce, began trading around2015-2016 and became consistently profitable around2022. Full-time work made screen-bound discretion a poor fit.

ELI5: His engineering skills fit a scheduled system.

S37-P0054 (L53) S37-P0059 (L53) S37-P0060 (L53) S37-P0069 (L53) S37-P0070 (L53)

Development

Exploration produced knowledge but losses

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | B: Reported experience

Attribution: highexplicit process description

Day-trading stocks in play lost roughly30 percent of20K in a year. Discretionary swings taught structure but remained boom/bust because exits and position size lacked process.

ELI5: Knowing entries was not enough without exits and sizing.

S37-P0059 (L53) S37-P0060 (L53) S37-P0061 (L53) S37-P0062 (L53) S37-P0063 (L53)

Numbers

  • Value
    30% of 20K
    Context
    Reported initial annual loss
    Ref
    S37-P0059 (L53)
    Source excerpt
    30% of my 20K

Losses and survival / Learning and review

Strengths and constraints determine specialization

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

He chose data analysis, coding and simple index rules while excluding individual-stock fundamentals and time-intensive discretionary trading. These are personal-fit choices, not proof other styles cannot work.

ELI5: Choose a method compatible with skills and time.

S37-P0064 (L53) S37-P0065 (L53) S37-P0069 (L53) S37-P0070 (L53) S37-P0071 (L53) S37-P0072 (L53)

Strategy and regime

Edge, conviction and process are distinct

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | C: Analyst inference

Attribution: highanalyst synthesis of stated framework

His framework separates a useful market tendency from confidence to withstand weak periods and infrastructure to execute consistently. He dismisses psychology rhetorically yet repeatedly relies on conviction and avoiding emotional overrides.

ELI5: A rule, trust in the rule and a way to run it are different needs.

S37-P0066 (L53) S37-P0067 (L53) S37-P0068 (L53) S37-P0074 (L53) S37-P0075 (L53)

Psychology and decisions

Seven strategies in two families

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

He runs seven trend-following and mean-reversion strategies, both directions, with most profit attributed to trend following. Typical activity is one or two trades weekly, despite daily evaluation.

ELI5: Daily checking does not mean daily trading.

S37-P0055 (L53) S37-P0056 (L53)

Numbers

  • Value
    seven
    Context
    Number of active strategies
    Ref
    S37-P0055 (L53)
    Source excerpt
    seven strategies
  • Value
    one to two trades per week
    Context
    Reported typical trade frequency
    Ref
    S37-P0055 (L53)
    Source excerpt
    one to two trades per week

Strategy and regime

Two leveraged ETFs express direction

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

He trades only TQQQ and SQQQ, describing long and inverse triple-Nasdaq exposure. Short direction is implemented through SQQQ selection rather than disclosed stock borrowing. He chose Nasdaq partly from technology familiarity.

ELI5: Two products express bullish or bearish positioning.

S37-P0056 (L53) S37-P0072 (L53) S37-P0073 (L53)

Strategy and regime / Sizing and exposure

Position trading with variable core

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

He can hold a core for months or years and vary its size around the trend. Full closure, not each adjustment, drives his explanation of Kinfo recognition.

ELI5: The core remains while the amount changes.

S37-P0051 (L53) S37-P0052 (L53) S37-P0053 (L53)

Exits and adjustments / Sizing and exposure

Live results differ from backtest results

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | B: Reported experience

Attribution: highexplicit process description

He reports around40 percent annual return over approximately three live years, with multiple30-33 percent drawdowns. This is distinct from the later80 percent historical model claim; accounts, cash flows and calculation method remain unspecified.

ELI5: Model performance is not the same as live experience.

S37-P0056 (L53) S37-P0057 (L53) S37-P0111 (L53)

Numbers

  • Value
    40%
    Context
    Approximate live annual return
    Ref
    S37-P0057 (L53)
    Source excerpt
    around 40%
  • Value
    33%
    Context
    Approximate live drawdown
    Ref
    S37-P0057 (L53)
    Source excerpt
    33% draw down

Losses and survival / Evidence and limitations

Flat years remain part of claimed consistency

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

He says last year was flat and current conditions fit the strategy better. Consistently profitable therefore means long-run experience, not daily or annual gains without interruption.

ELI5: A working system can have a flat year.

S37-P0050 (L53) S37-P0051 (L53)

Strategy and regime / Evidence and limitations

Signals distribution is disclosed

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | B: Reported experience

Attribution: highexplicit process description

He sends account trade signals through Collective2 and reports roughly50K subscriber capital. This is a commercial/social replication context, not proof recipients match fills or returns.

ELI5: Following a signal is a separate execution problem.

S37-P0057 (L53) S37-P0058 (L53)

Numbers

  • Value
    $50,000
    Context
    Reported subscriber capital
    Ref
    S37-P0058 (L53)
    Source excerpt
    $50,000

Evidence and limitations

Simple price tendencies underpin models

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

He emphasizes momentum and mean reversion, attributing persistence to human fear/greed. Inputs are price rather than news, machine learning or AI. Persistence of the broad tendency does not guarantee every chosen parameter set.

ELI5: Simple ideas can still need strict testing.

S37-P0073 (L53) S37-P0074 (L53) S37-P0090 (L53) S37-P0114 (L53) S37-P0115 (L53)

Strategy and regime

Pattern skepticism is about his tested versions

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | E: Unclear or conflicting

Attribution: highexplicit process description

He says many chart/candle rules failed systematic tests, then clarifies some make money but fail to beat buy-and-hold. This is not proof all discretionary implementations lack edge; tests and benchmark-risk matching are not disclosed.

ELI5: His rejected models do not disprove every version of a pattern.

S37-P0071 (L53) S37-P0072 (L53) S37-P0118 (L53) S37-P0119 (L53)

Strategy and regime

WhiteLight combines research and deployment

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

His custom platform backtests multiple strategies, emits equity/drawdown curves and trade lists, then runs strategies live. Shared tooling can reduce implementation drift, but the transcript does not establish code identity or testing controls.

ELI5: One platform spans research and execution.

S37-P0075 (L53) S37-P0076 (L53) S37-P0077 (L53)

Testing and automation

Build-versus-buy recommendation is qualified

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

He says new traders can use existing tools and mentions RealTest based on reputation, explicitly without personal use. Do not present this as a tested product endorsement.

ELI5: He suggests a tool category, not a verified product review.

S37-P0076 (L53)

Learning and review / Testing and automation

Data cache and fallback are operational protections

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | C: Analyst inference

Attribution: highanalyst qualification of disclosed architecture

He uses Polygon data, local cached history and later mentions an alternate source if the feed fails. The exact freshness test and fallback reconciliation are not specified; a cache alone is not current price data.

ELI5: Old data storage does not replace a fresh quote.

S37-P0078 (L53) S37-P0084 (L53) S37-P0088 (L53)

Testing and automation

Telemetry enables exception monitoring

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

Alerts report strategy, holdings, intended actions, completed order placements and failures to his phone; critical errors prompt action. Fully automated trading still includes human operational incident response.

ELI5: He monitors exceptions instead of every trade.

S37-P0078 (L53) S37-P0079 (L53)

Testing and automation

Years of engineering precede short daily runtime

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

Early hiccups required years of fixes, after which he says operations became smooth. The ten-minute claim describes the execution window, not total development effort or entire risk-holding period.

ELI5: A short daily run required long preparation.

S37-P0079 (L53) S37-P0080 (L53) S37-P0081 (L53) S37-P0082 (L53)

Development / Testing and automation

Cloud scheduler runs near the close

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

An AWS VM starts roughly15-20 minutes before close and trades in the final10 or10-15 minutes. The demo computes midday decisions but deliberately does not submit orders outside the time window. Exact cutoff wording varies.

ELI5: Time gating separates a preview from a live order.

S37-P0080 (L53) S37-P0081 (L53) S37-P0082 (L53) S37-P0087 (L53)

Numbers

  • Value
    15 to 20 minutes
    Context
    VM start before close
    Ref
    S37-P0082 (L53)
    Source excerpt
    15 to 20 minutes before the market close
  • Value
    10 to 15 minutes
    Context
    Later stated execution window
    Ref
    S37-P0087 (L53)
    Source excerpt
    last 10 to 15 minutes

Entries and execution

Target weights drive share reconciliation

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

In the demo target is30 percent TQQQ and zero SQQQ. The engine reads current holdings and calculates per-account delta, with one account needing42 shares and others no action. The30 percent is an output example, not a permanent weight.

ELI5: It trades the difference between what it has and what it wants.

S37-P0085 (L53) S37-P0086 (L53) S37-P0087 (L53)

Numbers

  • Value
    30%
    Context
    Demonstrated TQQQ target weight
    Ref
    S37-P0085 (L53)
    Source excerpt
    30% of my portfolio
  • Value
    0%
    Context
    Demonstrated SQQQ target
    Ref
    S37-P0085 (L53)
    Source excerpt
    0%
  • Value
    42 shares
    Context
    One account adjustment
    Ref
    S37-P0086 (L53)
    Source excerpt
    42 shares

Entries and execution / Sizing and exposure

Portfolio direction evolved after production start

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | C: Analyst inference

Attribution: highanalyst inference from described changes

He initially ran long-only, adding short strategies in approximately the last year. Thus three-year live performance is not necessarily a live record of the present seven-strategy portfolio.

ELI5: The current system differs from its earlier live version.

S37-P0083 (L53)

Evidence and limitations

Broker retry risk is material near close

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | B: Reported experience

Attribution: highexplicit process description

He recounts two Fidelity order-rejection incidents resolved after five-to-ten minutes of retries just before close. Missing details include partial-fill reconciliation, duplicate prevention and behavior if time expires.

ELI5: Retrying is useful only if it does not duplicate exposure.

S37-P0088 (L53)

Numbers

  • Value
    5 to 10 minutes
    Context
    Reported retry duration
    Ref
    S37-P0088 (L53)
    Source excerpt
    5 to 10 minutes

Entries and execution

Restart resilience needs an emergency distinction

S37 | Analyst | C: Analyst inference

Attribution: highexplicit process description

Scheduler restarts the machine even after shutdown, which he praises as protection against interference. Analyst qualification: robust recovery should distinguish accidental outage from intentional emergency disable; no kill-switch behavior is described.

ELI5: Recovery and emergency stop need different meanings.

S37-P0089 (L53)

Application

Analyst-proposed: separate scheduler recovery from an explicit operator-controlled kill state.

Losses and survival

Moving averages illustrate trend modeling

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | E: Unclear or conflicting

Attribution: highexplicit process description

He describes price above a250-day average and also a50-day average, with occasional200-day wording. The presentation illustrates broad participation, not the exact combination, entry priority or exit of all seven systems.

ELI5: The diagram teaches an idea, not complete production rules.

S37-P0092 (L53) S37-P0093 (L53) S37-P0094 (L53) S37-P0095 (L53) S37-P0096 (L53) S37-P0097 (L53)

Numbers

  • Value
    250day
    Context
    Illustrative long-term trend average
    Ref
    S37-P0094 (L53)
    Source excerpt
    250day moving average
  • Value
    50-day
    Context
    Illustrative faster trend threshold
    Ref
    S37-P0095 (L53)
    Source excerpt
    50-day moving average

Strategy and regime

Strong rally example uses full leveraged allocation

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | B: Reported experience

Attribution: highexplicit process description

He says a recent move put100 percent into TQQQ, with Nasdaq roughly20 percent and TQQQ roughly60 percent over a few months; sub-strategies later reduced exposure as trend slowed. Returns and period are approximate, not a guaranteed triple multimonth relation.

ELI5: A full leveraged position magnified a favorable trend.

S37-P0095 (L53) S37-P0096 (L53)

Numbers

  • Value
    100%
    Context
    Illustrative full TQQQ allocation
    Ref
    S37-P0095 (L53)
    Source excerpt
    100% TQQ
  • Value
    60%
    Context
    Approximate TQQQ move
    Ref
    S37-P0095 (L53)
    Source excerpt
    TQQ went 60%

Sizing and exposure / Concrete examples

Necessary rally condition is not sufficient edge

S37 | Analyst | C: Analyst inference

Attribution: highexplicit process description

He calls large rallies above moving averages a mathematical impossibility to avoid and a huge edge. Analyst qualification: including successful rallies does not quantify false crossings, whipsaw costs or risk-adjusted profitability.

ELI5: Catching winners is only half the test; false signals matter.

S37-P0097 (L53) S37-P0098 (L53)

Strategy and regime

Deceleration is an incomplete mean-reversion concept

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

He uses rate-of-change slowing as a reason to remove some exposure. Lookback, thresholds, allocation amounts and relationship to short signals are absent. Deceleration alone does not fully specify a reversal trade.

ELI5: Slowing down does not tell you exactly when or how much to sell.

S37-P0099 (L53) S37-P0100 (L53)

Strategy and regime

Historical window length is inconsistent

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | E: Unclear or conflicting

Attribution: highexplicit process description

He repeatedly says42 years, later45 or40, while the shown NDX cache starts1985 and the export is2025. Exact start/end dates and data construction require clarification.

ELI5: The claimed test duration needs a precise date range.

S37-P0043 (L53) S37-P0084 (L53) S37-P0101 (L53) S37-P0109 (L53)

Numbers

  • Value
    1985
    Context
    Claimed start of cached NDX data
    Ref
    S37-P0084 (L53)
    Source excerpt
    from 1985
  • Value
    80%
    Context
    Claimed historical annual strategy return
    Ref
    S37-P0101 (L53)
    Source excerpt
    80% return per year

Testing and automation / Evidence and limitations

Historical ETF comparison needs construction disclosure

S37 | Analyst | C: Analyst inference

Attribution: highexplicit process description

He describes QQQ/TQQQ comparisons from1985 and throughout older crashes but does not explain whether early product histories are synthetic, how leverage/financing/fees were modeled, or how corporate adjustments were handled. No actual early ETF trading record is established.

ELI5: A long simulation needs an honest recipe for its old data.

S37-P0084 (L53) S37-P0101 (L53) S37-P0102 (L53)

Application

Analyst-proposed: label observed versus proxy/synthetic history and audit daily compounding, financing, fees and execution timing.

Testing and automation

Crash profits are hypothetical before deployment

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | E: Unclear or conflicting

Attribution: highexplicit process description

He explicitly corrects the implication of actual profits in2008 and other early crises: these are what the present model would have made if run. Large2020 return claims are simulated, not his live achievement.

ELI5: A backtest win is not a trade he made.

S37-P0101 (L53) S37-P0102 (L53) S37-P0103 (L53) S37-P0104 (L53) S37-P0105 (L53)

Numbers

  • Value
    469%
    Context
    Claimed simulated2020 return
    Ref
    S37-P0105 (L53)
    Source excerpt
    469% in that one year
  • Value
    81%
    Context
    Claimed simulated2021 return
    Ref
    S37-P0105 (L53)
    Source excerpt
    2021 is 81%

Testing and automation / Evidence and limitations

Sideways markets are the disclosed weakness

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

Flat/range-bound markets produce weak performance and drawdowns; he cites2004-2005 and2014-2016 model periods. Knowing that failure mode helps expectation setting but does not define a future invalidation threshold.

ELI5: A trend system can bleed while price goes nowhere.

S37-P0103 (L53) S37-P0104 (L53) S37-P0105 (L53) S37-P0110 (L53) S37-P0111 (L53)

Strategy and regime / Losses and survival

The system reacts rather than predicts crashes

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

He rejects the host suggestion that it forecasts crashes, noting it also fell roughly20 percent in the recent decline before recovering. The rationale is participation in subsequent trends, not perfect protection.

ELI5: It can lose in the crash it later recovers from.

S37-P0106 (L53) S37-P0107 (L53)

Numbers

  • Value
    20%
    Context
    Reported recent strategy decline
    Ref
    S37-P0106 (L53)
    Source excerpt
    it only crashed 20%

Losses and survival

Drawdown depth and duration both matter

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

The model includes a1992 drawdown near50 percent lasting around1.5 years, while live accounts had repeated roughly30 percent drawdowns. He explicitly separates earlier model periods from lived experience.

ELI5: A loss can be painful because it is deep and long.

S37-P0108 (L53) S37-P0109 (L53) S37-P0110 (L53) S37-P0111 (L53)

Numbers

  • Value
    50%
    Context
    Claimed modeled1992 drawdown
    Ref
    S37-P0109 (L53)
    Source excerpt
    50% draw down
  • Value
    1 and a half year
    Context
    Claimed modeled drawdown duration
    Ref
    S37-P0109 (L53)
    Source excerpt
    1 and a half year

Losses and survival

Compounding is deliberate concentration of gains

S37 | Analyst | C: Analyst inference

Attribution: highexplicit process description

He confirms retaining/compounding all gains rather than withdrawing. His willingness to lose half because it represents recent gains is subjective tolerance, not a maximum risk guarantee; half a nearly-million account is not exactly a prior560K balance.

ELI5: Past profits remain real money at risk.

S37-P0112 (L53) S37-P0113 (L53)

Sizing and exposure / Psychology and decisions

Conviction exceeds evidence when framed as certainty

S37 | Analyst | C: Analyst inference

Attribution: highexplicit process description

He says tendencies cannot change and therefore the method will work. Analyst qualification: stable broad tendencies do not guarantee chosen rules, tradable implementation or future recovery. No formal retirement, pause or model-drift rule is disclosed.

ELI5: Confidence needs a condition that would prove the model wrong.

S37-P0108 (L53) S37-P0110 (L53) S37-P0113 (L53) S37-P0114 (L53) S37-P0115 (L53)

Losses and survival

Manual experience is his recommended idea source

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

He recommends small-capital manual exploration before coding, to learn tendencies and develop personal conviction. This is his preferred learning sequence, not a demonstrated prerequisite for every systematic trader.

ELI5: Experience can suggest hypotheses to test.

S37-P0116 (L53) S37-P0117 (L53) S37-P0118 (L53)

Learning and review

Hundreds of trials require selection-bias controls

S37 | Analyst | C: Analyst inference

Attribution: highexplicit process description

He reports testing300-350 strategies and retaining seven. Analyst qualification: that search creates multiple-testing risk; no held-out selection protocol, parameter-stability study or false-discovery control is shown.

ELI5: The best of many tests can look good by chance.

S37-P0118 (L53) S37-P0119 (L53) S37-P0120 (L53)

Numbers

  • Value
    300 to 350
    Context
    Reported candidate count
    Ref
    S37-P0118 (L53)
    Source excerpt
    300 to 350 strategies

Application

Analyst-proposed: preserve trial log and test frozen strategy/portfolio on untouched periods, with parameter perturbations and costs.

Testing and automation

Simplicity is preference, not universal superiority

S37 | Mallik / Malik, TQQQTrader / RealTQQQTrader | A: Explicit statement

Attribution: highexplicit process description

He prefers simple strategies and acknowledges complex approaches can work for others. The description claim that simple models beat complex models is stronger than his personal-fit evidence.

ELI5: Simple suited him; complexity is not automatically wrong.

S37-P0014 (L17) S37-P0030 (L36) S37-P0120 (L53)

Exits and adjustments

Large capacity claim is untested

S37 | Analyst | C: Analyst inference

Attribution: highexplicit process description

He hopes to run for decades and scale to millions/billions, without impact, near-close liquidity or capacity analysis. Low frequency and liquid products alone do not demonstrate unlimited scale.

ELI5: A small-account fill does not prove billion-dollar capacity.

S37-P0121 (L53) S37-P0122 (L53)

Sizing and exposure / Evidence and limitations

Judge outcomes against opportunity, with caution

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | C: Analyst inference

Attribution: highanalyst synthesis

He feels dissatisfied despite a profitable month because hot-market opportunities were abundant and he recently had five red days. This distinguishes opportunity capture from raw dollars, but can also raise pressure to chase an imagined attainable maximum.

ELI5: A good dollar month can still contain weak execution.

S38-P0044 (L53) S38-P0045 (L53) S38-P0046 (L53)

Numbers

  • Value
    762,000
    Context
    Host cumulative total
    Ref
    S38-P0044 (L53)
    Source excerpt
    762,000
  • Value
    34.6k
    Context
    Host last30-day total
    Ref
    S38-P0044 (L53)
    Source excerpt
    34.6k

Psychology and decisions / Evidence and limitations

COVID changed access to market hours

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | B: Reported experience

Attribution: highexplicit process description

A gym teacher with a small account initially traded late afternoons. Working from home enabled full-day observation and contact with Jack Kellogg, whom he already knew outside trading. Access and prior connections matter to the story.

ELI5: More time and a mentor changed the learning environment.

S38-P0047 (L53) S38-P0048 (L53) S38-P0049 (L53)

Numbers

  • Value
    $1,000
    Context
    Reported early account
    Ref
    S38-P0048 (L53)
    Source excerpt
    $1,000 account

Development

Early profits came from a favorable OTC regime

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | B: Reported experience

Attribution: highexplicit process description

He bought COVID-related OTC press releases in2020-2021 and recalls about50K over two years. He says mentorship and strong conditions made it easy initially, not that he had broad expertise.

ELI5: Early success arrived in unusually friendly conditions.

S38-P0050 (L53) S38-P0068 (L53) S38-P0069 (L53)

Numbers

  • Value
    50,000
    Context
    Approximate two-year profit
    Ref
    S38-P0050 (L53)
    Source excerpt
    50,000 over the two years

Development / Strategy and regime

Guest corrects early blowup framing

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | E: Unclear or conflicting

Attribution: highexplicit process description

Host says he lost the first10K again; guest says he does not think he lost it all, but drew down as summer slowed and he kept using the same trades. Seasonal explanation is personal hindsight, not a universal August rule.

ELI5: Drawdown is not necessarily complete loss of prior gains.

S38-P0051 (L53)

Strategy and regime

Novelty-seeking ego delayed simplicity

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

He wanted to invent strategies and be alone in an undiscovered winner while peers traded straightforward opportunities. Accepting existing basic setups reduced unnecessary complexity.

ELI5: Being original was getting ahead of being effective.

S38-P0053 (L53) S38-P0054 (L53)

Psychology and decisions / Learning and review

Real money revealed reactions to both wins and losses

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | C: Analyst inference

Attribution: highanalyst qualification

He learned how he responds to reversals of open profit, winning streaks and repeated red days. His criticism of paper learning concerns emotional realism; it does not demonstrate that large real losses are necessary education.

ELI5: Simulated money does not reproduce every feeling.

S38-P0055 (L53) S38-P0056 (L53)

Psychology and decisions / Learning and review

Success triggers unnecessary risk experiments

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

He compares trading to trying flashy sports moves after a streak of good shots. Winning induces pushing beyond the proven process, rather than only losses causing poor decisions.

ELI5: A good streak can loosen his discipline.

S38-P0057 (L53) S38-P0058 (L53) S38-P0059 (L53)

Losses and survival / Psychology and decisions

Review intensity currently follows drawdown

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

He studies hardest after losing and relaxes after wins, describing a repeated reset cycle. Studying hard during winning and taking breaks during losing are proposed future changes, not established habits.

ELI5: He wants learning to become preventive, not only corrective.

S38-P0059 (L53) S38-P0060 (L53) S38-P0061 (L53) S38-P0062 (L53)

Learning and review

Motivation mixes comfort, validation and teaching

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

He wants a durable comfortable life rather than required luxury status, but also says proving doubters wrong and helping others motivate him. These motives can coexist without guaranteeing discipline.

ELI5: He wants both independence and usefulness.

S38-P0064 (L53) S38-P0065 (L53) S38-P0066 (L53) S38-P0067 (L53)

Strategy and regime

Survival year required adaptation and support

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | B: Reported experience

Attribution: highexplicit process description

When OTCs cooled around2022 he stayed home, did not return to teaching and spent about12 months flat while studying multiple mentors. Rule-change remarks are historical source context, not independently verified regulation.

ELI5: A flat year bought time to find a new approach.

S38-P0069 (L53) S38-P0070 (L53) S38-P0071 (L53)

Numbers

  • Value
    12 months
    Context
    Reported flat learning period
    Ref
    S38-P0071 (L53)
    Source excerpt
    12 months, no profit

Development / Losses and survival

Learning many methods culminated in personal synthesis

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

He studied Tim Sykes, Short Bear, Dan Irish, Kyle and others through courses, tweets, reviews and conversations. He stresses making connections independently when no chat room is available, not just collecting authorities.

ELI5: Borrow ideas, then understand how they fit.

S38-P0070 (L53) S38-P0071 (L53) S38-P0080 (L53) S38-P0081 (L53)

Development / Learning and review

Failed-short observation sparked the edge

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | B: Reported experience

Attribution: highexplicit process description

At Jack Kellogg home, he watched several experienced shorts repeatedly fail to get a downside break and then stop out sequentially into strength. AroundJanuary2023 he began focusing on failed expected behavior and other traders likely exits.

ELI5: The failed breakdown was information.

S38-P0072 (L53) S38-P0073 (L53) S38-P0074 (L53)

Numbers

  • Value
    January 23
    Context
    Approximate breakthrough date
    Ref
    S38-P0074 (L53)
    Source excerpt
    around January 23

Development / Strategy and regime

Networking is reciprocal and sometimes paid

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

He attended conferences and rooms, thanked people, shared analysis and warned peers when their shorts looked vulnerable. He frames relationships as reciprocal contribution, not entitlement to answers. Costs and selection effects are not quantified.

ELI5: Useful relationships require giving as well as asking.

S38-P0075 (L53) S38-P0076 (L53) S38-P0077 (L53) S38-P0078 (L53) S38-P0079 (L53) S38-P0080 (L53)

Learning and review

Short watchlists are observation lists, not automatic longs

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

He monitors respected short setups to see whether expected selling actually occurs. He explicitly rejects blindly buying the list or fighting an ongoing fade.

ELI5: Wait for evidence the short idea is failing.

S38-P0081 (L53) S38-P0082 (L53) S38-P0111 (L53)

Strategy and regime

Repeated failed lows and time create squeeze clues

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

Repeated penny breaks of low-of-day that recover, or failure to fade by roughly10-10:30, suggest possible stubborn shorts. Exact number of tests, reclaim duration and clock gate are not fixed.

ELI5: A stock refusing to go down can pressure shorts.

S38-P0084 (L53) S38-P0086 (L53) S38-P0108 (L53)

Numbers

  • Value
    10:00 / 10:30
    Context
    Illustrative expected fade timing
    Ref
    S38-P0084 (L53)
    Source excerpt
    10:00, right? 10:30

Entries and execution

No squeeze is a common failure mode

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

He loses when volume stays light and no covering materializes, leaving him with size in a fading or inactive stock. His rule is cut wrong attempts quickly and let successful ones run, but exact exit mechanics are absent.

ELI5: Low volume can trap him too.

S38-P0083 (L53) S38-P0084 (L53) S38-P0097 (L53) S38-P0098 (L53)

Entries and execution / Losses and survival

The mirror setup is a concept, not his short system

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

He explains how repeated failed highs in crowded longs can lead to sequential liquidation, using his own pain to infer short-trader pain. He explicitly is not ready to trade both sides because oversizing remains unresolved.

ELI5: Understanding the opposite trade does not mean trading it.

S38-P0086 (L53) S38-P0087 (L53) S38-P0088 (L53) S38-P0090 (L53)

Strategy and regime

Immediate-work expectation encouraged oversizing

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

He reasoned that a good breakout should not come back, so he could overload. When it failed, size and slippage magnified losses. He now says he is learning to size for worst case, without providing an implemented formula.

ELI5: Expected speed is not permission to ignore failure size.

S38-P0088 (L53) S38-P0089 (L53) S38-P0090 (L53)

Sizing and exposure / Losses and survival

Two proposed squeeze mechanisms

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

Fear squeezes involve losing shorts covering rising prices; greed squeezes involve profitable shorts overstaying after a decline and covering a bounce. These are interpretive categories, not direct measurements of trader motives.

ELI5: Shorts may buy from fear of loss or fear of giving back profit.

S38-P0093 (L53) S38-P0094 (L53) S38-P0095 (L53)

Strategy and regime

Multi-red-day support bounce example

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

The AR/ARB-captioned example had a major run then three red days into support. He viewed a fourth-day short as poor reward for late bears and sought a first-green-day bounce once volume appeared near a tight level. Entry/stop prices and exact ticker remain incomplete.

ELI5: He looked for a rebound where fresh shorts had little room.

S38-P0092 (L53) S38-P0093 (L53) S38-P0094 (L53) S38-P0095 (L53) S38-P0096 (L53)

Numbers

  • Value
    30 40 cents
    Context
    Illustrative per-share risk
    Ref
    S38-P0095 (L53)
    Source excerpt
    30 40 cents
  • Value
    26,000
    Context
    Approximate reported trade profit
    Ref
    S38-P0096 (L53)
    Source excerpt
    about 26,000

Entries and execution

Dried volume is relative pressure, not universal benefit

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

He argues thin volume may be worse for large incumbent shorts than for his smaller planned risk, but admits low volume produces his own slippage and failed trades. Assumed100K-share shorts are hypothetical, not observed inventory.

ELI5: The thin exit door affects both sides.

S38-P0097 (L53) S38-P0098 (L53)

Numbers

  • Value
    38%
    Context
    Approximate self-reported win rate
    Ref
    S38-P0097 (L53)
    Source excerpt
    38% win rate

Entries and execution / Losses and survival

Low win rate requires payoff and execution discipline

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | C: Analyst inference

Attribution: highanalyst inference

He reports roughly38-40 percent wins with sizable drawdowns. The theory depends on occasional large moves outweighing losses and slippage; no complete realized expectancy distribution is supplied.

ELI5: Most attempts can fail only if winners adequately pay for them.

S38-P0097 (L53) S38-P0098 (L53)

Evidence and limitations

Borrow-cover timing speculation is not a rule

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | E: Unclear or conflicting

Attribution: highexplicitly uncertain guest claim

He loosely connects T+1 and one-to-two-day broker covering, explicitly saying he is still learning. This must not become a settlement or mandatory short-buy-in rule in a strategy.

ELI5: His uncertainty cannot be coded as a legal deadline.

S38-P0099 (L53)

Entries and execution / Psychology and decisions

Ordinary breakout remains in the playbook

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

He also buys a simple daily breakout after first green day when substantial volume returns. He does not insist every trade must oppose shorts or be clever.

ELI5: Sometimes the straightforward long is the opportunity.

S38-P0101 (L53) S38-P0102 (L53) S38-P0103 (L53)

Strategy and regime

Breakout example has contextual decimal interpretation

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | E: Unclear or conflicting

Attribution: highexplicit process description

He recalls buying around0.80 near close, risking0.73 and selling around1.00-1.10, describing3-4R. Caption later says67 cents risk, context likely six-seven cents; do not use67 as literal risk or infer exact fills.

ELI5: The risk story is clear but caption precision is not.

S38-P0103 (L53)

Numbers

  • Value
    7 cents
    Context
    Explicit planned risk statement
    Ref
    S38-P0103 (L53)
    Source excerpt
    risking 7 cents
  • Value
    3:1 4 to one
    Context
    Guest approximate payoff multiple
    Ref
    S38-P0103 (L53)
    Source excerpt
    3:1 4 to one

Evidence and limitations / Concrete examples

Dilution is not a routine exclusion

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

He admits he probably should assess dilution more. He speculates dilution may attract shorts and therefore squeeze fuel, but explicitly rejects blindly buying the worst diluters and allows that his view may change.

ELI5: Bad fundamentals alone do not determine his trade, but the risk remains.

S38-P0104 (L53) S38-P0105 (L53)

Strategy and regime

Population failure claims do not prove squeeze edge

S38 | Analyst | C: Analyst inference

Attribution: highexplicit process description

He repeatedly cites90 percent losing and psychology as explanation for why transparency will not erode his edge. These statistics/causal claims are unsupported; his own reported38 percent wins do not follow from a population failure rate.

ELI5: A claim about traders does not measure this setup.

S38-P0067 (L53) S38-P0082 (L53) S38-P0100 (L53) S38-P0101 (L53)

Evidence and limitations

Ask why after losses and compare common features

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

He reviews winners and losers to identify continuation versus repeated stuffing. Emotional awareness produces hypotheses about trapped participants, but observable price behavior should be separated from inferred positions.

ELI5: Turn painful trades into testable observations.

S38-P0106 (L53) S38-P0107 (L53) S38-P0108 (L53) S38-P0110 (L53) S38-P0111 (L53)

Learning and review

Exit on nonperformance before hard stop

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

If a first-green-day long fails to break highs repeatedly by midday, he may bail before the original stop. A working setup should create fresh highs; a short should create fresh lows. Four attempts is an example, not a validated universal cutoff.

ELI5: A trade can be wrong by behavior before price hits the stop.

S38-P0109 (L53) S38-P0110 (L53) S38-P0111 (L53)

Exits and adjustments / Testing and automation

Update the plan when expected confirmation is absent

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

He warns against insisting a breakout will go when the expected overnight gap and volume do not arrive. Compare actual behavior with expected behavior instead of staying emotionally attached.

ELI5: The market is allowed to reject yesterday plan.

S38-P0112 (L53) S38-P0113 (L53)

Psychology and decisions

Teaching affiliation is part of source context

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

He helps run Inner Circle with Tim Sykes, daily community interaction and periodic trips, and focuses on psychology while acknowledging he is not yet a millionaire trader. Promotional links and host future-million predictions are not performance evidence.

ELI5: The interview also promotes a learning community.

S38-P0010 (L12) S38-P0114 (L53) S38-P0115 (L53) S38-P0117 (L53)

Evidence and limitations

Different explanations can coexist for the same chart

S38 | Strati / Stratataaa (caption variants Stratey, Stratti) | A: Explicit statement

Attribution: highexplicit process description

He encourages experimentation and personal understanding, acknowledging others may interpret the ARB example differently. This cautions against treating his emotion story as uniquely proven causation.

ELI5: A useful hypothesis is not the only possible explanation.

S38-P0116 (L53) S38-P0117 (L53)

Learning and review

Challenge headline has multiple denominators and durations

S39 | Trader YC (Chill Trading) | E: Unclear or conflicting

Attribution: highconflicting rounded chronology and denominators

Description/host use six months while YC says five, with May 28 start and November 12 completion later given. Competition return uses a later larger starting balance, so it differs from challenge return. Public challenge is selected evidence, not his entire career record.

ELI5: Check where the clock and account balance begin.

S39-P0014 (L17) S39-P0035 (L45) S39-P0036 (L45) S39-P0037 (L45) S39-P0038 (L45) S39-P0039 (L45) S39-P0044 (L45) S39-P0063 (L45) S39-P0075 (L45)

Numbers

  • Value
    $280
    Context
    challenge base
    Ref
    S39-P0036 (L45)
    Source excerpt
    starting with $280
  • Value
    178,000%
    Context
    host challenge-return claim
    Ref
    S39-P0035 (L45)
    Source excerpt
    178,000%
  • Value
    1,967%
    Context
    host competition return
    Ref
    S39-P0036 (L45)
    Source excerpt
    1,967%

Evidence and limitations

Profitable skill preceded the tiny account

S39 | Trader YC (Chill Trading) | B: Reported experience

Attribution: highunverified reported experience

He began experimenting in university, lost savings, and says profitability followed practice. His first public challenge preceded this one by years. The tiny balance was used by an experienced trader, not a novice learning from scratch.

ELI5: A small account did not mean a beginner.

S39-P0037 (L45) S39-P0038 (L45) S39-P0039 (L45)

Numbers

  • Value
    2017
    Context
    start
    Ref
    S39-P0038 (L45)
    Source excerpt
    beginning in 2017
  • Value
    $15,000
    Context
    early losses
    Ref
    S39-P0038 (L45)
    Source excerpt
    total of 15,000
  • Value
    2018
    Context
    reported profitability
    Ref
    S39-P0039 (L45)
    Source excerpt
    around 2018
  • Value
    $1,000 to $50,000
    Context
    earlier challenge
    Ref
    S39-P0037 (L45)
    Source excerpt
    1,000 to 50,000
  • Value
    two months
    Context
    earlier challenge duration
    Ref
    S39-P0038 (L45)
    Source excerpt
    two months

Development / Learning and review

Long-first specialization later expanded to shorts

S39 | Trader YC (Chill Trading) | A: Explicit statement

Attribution: highexplicit process description

He started with US one-minute long trades using candles, Level 2, hotkeys and indicators, then added shorts and longer holds. Current direction mix depends on regime. Longs are usually very brief, shorts somewhat longer, with quick exits if price fails expectation.

ELI5: Master one direction before expanding.

S39-P0039 (L45) S39-P0040 (L45) S39-P0041 (L45) S39-P0042 (L45) S39-P0062 (L45) S39-P0063 (L45)

Numbers

  • Value
    60-70%
    Context
    current long share
    Ref
    S39-P0039 (L45)
    Source excerpt
    60 to 70%
  • Value
    under 5 minutes
    Context
    usual long hold
    Ref
    S39-P0040 (L45)
    Source excerpt
    under 5 minute
  • Value
    less than an hour
    Context
    usual short hold
    Ref
    S39-P0040 (L45)
    Source excerpt
    less than an hour

Development / Entries and execution / Exits and adjustments

News, volatility and float guide attention

S39 | Trader YC (Chill Trading) | A: Explicit statement

Attribution: highexplicit process description

He favors small-cap high-volume momentum and breakouts, often premarket news gappers. Daily charts supply marked support/resistance while one-minute candles and Level 2 time execution. Exact float, volume or news-quality thresholds are missing.

ELI5: Use the daily map for a fast intraday trade.

S39-P0041 (L45) S39-P0042 (L45) S39-P0046 (L45) S39-P0048 (L45)

Strategy and regime

Challenge began after a larger account lost money

S39 | Trader YC (Chill Trading) | B: Reported experience

Attribution: highunverified reported experience

He deposited around 2,000 to test broker execution and shorts, lost most, then labeled the remaining 280 a challenge. Ignoring this prehistory would overstate the complete funding-period return. The challenge is a reset of the measurement window, not the original deposit.

ELI5: The advertised starting point came after losses.

S39-P0042 (L45) S39-P0043 (L45)

Numbers

  • Value
    $2,000
    Context
    initial test deposit
    Ref
    S39-P0042 (L45)
    Source excerpt
    about 2,000
  • Value
    under $300
    Context
    balance after testing losses
    Ref
    S39-P0042 (L45)
    Source excerpt
    under $300
  • Value
    $280
    Context
    remaining challenge balance
    Ref
    S39-P0043 (L45)
    Source excerpt
    remaining $280

Sizing and exposure / Losses and survival / Evidence and limitations

Early leverage amplified both growth and ruin risk

S39 | Trader YC (Chill Trading) | A: Explicit statement

Attribution: highexplicit process description

He used part of available six-times leverage at an unnamed broker described as without PDD rules, likely a caption of PDT but uncertain. One bad day could end the challenge. He reduced leverage need as capital grew. This historical broker claim is not current eligibility guidance.

ELI5: Leverage magnified a fragile start.

S39-P0043 (L45) S39-P0044 (L45) S39-P0047 (L45)

Exceptions

  • No margin terms, jurisdiction, interest, buying-power or liquidation details.

Numbers

  • Value
    6x
    Context
    available leverage claim
    Ref
    S39-P0043 (L45)
    Source excerpt
    six time leverage

Sizing and exposure / Losses and survival

First-day news dip added only after reversal

S39 | Trader YC (Chill Trading) | B: Reported experience

Attribution: highunverified reported experience

In a May 28 premarket clip, ticker captioned PO, he bought a pullback, added as reversal appeared and sought a high-of-day break, selling into strength. A later small scalp and other daily gains are distinct from this trade. Exact initial stop is not stated.

ELI5: Start the pullback, then add when it turns.

S39-P0044 (L45) S39-P0045 (L45) S39-P0046 (L45) S39-P0047 (L45)

Numbers

  • Value
    May 28 / 7 a.m.
    Context
    first-day clip
    Ref
    S39-P0044 (L45)
    Source excerpt
    May 28th and it's around 700 a.m.
  • Value
    200 / 400 / 500 shares
    Context
    entry and scaling
    Ref
    S39-P0045 (L45)
    Source excerpt
    200 shares
  • Value
    $1.45
    Context
    initial buy
    Ref
    S39-P0045 (L45)
    Source excerpt
    around 1.45
  • Value
    $1.80 / $1.90
    Context
    breakout and exit
    Ref
    S39-P0046 (L45)
    Source excerpt
    broke 1.8 and it squeezed to 1.9
  • Value
    100 shares
    Context
    follow-on scalp
    Ref
    S39-P0047 (L45)
    Source excerpt
    100 shares
  • Value
    $160
    Context
    trade result
    Ref
    S39-P0047 (L45)
    Source excerpt
    160 bucks on that trade
  • Value
    $272
    Context
    daily P/L
    Ref
    S39-P0047 (L45)
    Source excerpt
    daily P&L right now is 272

Entries and execution / Exits and adjustments / Concrete examples

Compounding size did not prevent a summer drawdown

S39 | Trader YC (Chill Trading) | B: Reported experience

Attribution: highunverified reported experience

Reported growth reached roughly 20K in two weeks and 200K by July, then declined to 164K in August. He says a break might have been better, and used smaller size and more selective trades after repeated poor days signaled a slow regime.

ELI5: Reduce exposure when the market stops rewarding you.

S39-P0048 (L45) S39-P0049 (L45) S39-P0051 (L45) S39-P0052 (L45)

Numbers

  • Value
    $20,000 / 2 weeks
    Context
    early growth claim
    Ref
    S39-P0048 (L45)
    Source excerpt
    about two weeks I had already turned the account to $20,000
  • Value
    $200,000
    Context
    July balance
    Ref
    S39-P0049 (L45)
    Source excerpt
    200,000 by the end of July
  • Value
    $164,000
    Context
    August balance
    Ref
    S39-P0049 (L45)
    Source excerpt
    balance was 164,000

Strategy and regime / Sizing and exposure / Losses and survival

A spectacular runner resets his market expectations

S39 | Trader YC (Chill Trading) | A: Explicit statement

Attribution: highexplicit process description

Cold-market expectations limited OCTO participation; its outsized move suggested crowd FOMO would energize following sessions. He increased premarket aggression, describing CWD and WLDS follow-through. The inference is contextual, not a guaranteed next-day signal.

ELI5: A huge winning stock can change what traders try next.

S39-P0050 (L45) S39-P0051 (L45) S39-P0052 (L45) S39-P0057 (L45) S39-P0058 (L45)

Numbers

  • Value
    6,000% / $18K
    Context
    OCTO move and gain claims
    Ref
    S39-P0050 (L45)
    Source excerpt
    6,000% in a single day
  • Value
    $18,000
    Context
    OCTO gain
    Ref
    S39-P0050 (L45)
    Source excerpt
    around $18,000
  • Value
    $50,000
    Context
    following day gain
    Ref
    S39-P0050 (L45)
    Source excerpt
    made 50,000 the next day
  • Value
    2,500%
    Context
    CWD premarket move claim
    Ref
    S39-P0050 (L45)
    Source excerpt
    2,500% in premarket
  • Value
    1,000%
    Context
    WLDS move claim
    Ref
    S39-P0050 (L45)
    Source excerpt
    WLDS going up 1,000%
  • Value
    $240K
    Context
    September gain
    Ref
    S39-P0051 (L45)
    Source excerpt
    $240,000 in a month

Strategy and regime

YOUL pullback differs from indiscriminate chasing

S39 | Trader YC (Chill Trading) | B: Reported experience

Attribution: highunverified reported experience

Chapter names YOUL while speech captions YUL. He waited for a new candle/pullback instead of buying the extended top, entered somewhat early versus an ideal deeper price because regime was hot, then used large displayed bid and volume as support/squeeze cues. Host 99% assertion is not measured evidence.

ELI5: Wait for a better spot even in a fast runner.

S39-P0023 (L29) S39-P0053 (L45) S39-P0054 (L45) S39-P0055 (L45) S39-P0056 (L45) S39-P0057 (L45) S39-P0058 (L45)

Numbers

  • Value
    6,000 shares
    Context
    initial position
    Ref
    S39-P0053 (L45)
    Source excerpt
    6,000 shares
  • Value
    $3.50
    Context
    ideal pullback reference
    Ref
    S39-P0056 (L45)
    Source excerpt
    3.5
  • Value
    2,000 at $4.41
    Context
    attempted add, partial fill
    Ref
    S39-P0054 (L45)
    Source excerpt
    2,000 shares at 4.41
  • Value
    $4.60 / $5K
    Context
    exit and result
    Ref
    S39-P0055 (L45)
    Source excerpt
    4.6
  • Value
    $5,000
    Context
    result
    Ref
    S39-P0055 (L45)
    Source excerpt
    5,000 bucks

Entries and execution / Concrete examples

CWD example includes partial-fill exit adaptation

S39 | Trader YC (Chill Trading) | B: Reported experience

Attribution: highunverified reported experience

He bought a dip despite the previous candle rejection because momentum remained strong, added on reversal and before the high break, then tried to sell into strength. Partial fill caused immediate lower-price exit rather than waiting. This materially limits simulated fill assumptions.

ELI5: A target price is not a guaranteed fill.

S39-P0058 (L45) S39-P0059 (L45) S39-P0060 (L45)

Numbers

  • Value
    2,000 at $12.50
    Context
    initial buy
    Ref
    S39-P0059 (L45)
    Source excerpt
    2,000 shares at around uh 12.5
  • Value
    1,000 shares
    Context
    adds
    Ref
    S39-P0059 (L45)
    Source excerpt
    another thousand shares
  • Value
    $15 / $14.70
    Context
    attempted and actual residual exit
    Ref
    S39-P0060 (L45)
    Source excerpt
    all of them at 15
  • Value
    $14.70
    Context
    residual exit
    Ref
    S39-P0060 (L45)
    Source excerpt
    at 14.7
  • Value
    $6,000
    Context
    gain
    Ref
    S39-P0060 (L45)
    Source excerpt
    6,000 bucks

Entries and execution / Concrete examples

Short breakdown shares logic but often takes longer

S39 | Trader YC (Chill Trading) | B: Reported experience

Attribution: highunverified reported experience

Ticker captioned EMC broke two and he shorted, taking a partial on the way to a lower target. He sees long/short behavior through other traders entries, exits and stops, but shorts can need more time. Final profit and exact stop are not supplied; spoken share counts do not reconcile exactly.

ELI5: Same participant logic, different speed.

S39-P0060 (L45) S39-P0061 (L45) S39-P0062 (L45) S39-P0063 (L45)

Numbers

  • Value
    6,500 then 7,500 shares
    Context
    spoken position
    Ref
    S39-P0060 (L45)
    Source excerpt
    6,500 shares
  • Value
    $2 / $1.70
    Context
    entry area and target
    Ref
    S39-P0060 (L45)
    Source excerpt
    around two
  • Value
    $1.70
    Context
    target
    Ref
    S39-P0060 (L45)
    Source excerpt
    around 1.7
  • Value
    2,000 at $1.83
    Context
    partial cover
    Ref
    S39-P0061 (L45)
    Source excerpt
    1.83 for 2,000 shares
  • Value
    half an hour
    Context
    possible slower short duration
    Ref
    S39-P0062 (L45)
    Source excerpt
    half an hour

Exits and adjustments / Concrete examples

Challenge ended before a holiday pause, not at an untouched peak

S39 | Trader YC (Chill Trading) | B: Reported experience

Attribution: highunverified reported experience

He says half a million was reached November 12, peak balance 517K, followed by roughly 10% December pullback and a holiday break until January. Public video updates lagged to July. Selected clips cannot establish the complete path or current balance.

ELI5: The peak was followed by losses and a pause.

S39-P0063 (L45) S39-P0064 (L45)

Numbers

  • Value
    November 12
    Context
    completion date
    Ref
    S39-P0063 (L45)
    Source excerpt
    November 12th
  • Value
    $517,000
    Context
    peak
    Ref
    S39-P0063 (L45)
    Source excerpt
    highest point was $517,000
  • Value
    10%
    Context
    subsequent pullback
    Ref
    S39-P0063 (L45)
    Source excerpt
    10% pullback

Losses and survival / Evidence and limitations

One instrument and style before breadth

S39 | Trader YC (Chill Trading) | A: Explicit statement

Attribution: highexplicit process description

He warns against switching markets whenever social media shows profits; instruments have different behavior. Sustained daily practice, commission awareness, chart/Level 2 and support/resistance study produced his reported break-even point. His duration is personal, not a promise.

ELI5: Go deep before switching lanes.

S39-P0065 (L45) S39-P0066 (L45) S39-P0067 (L45)

Numbers

  • Value
    half a year
    Context
    personal break-even learning period
    Ref
    S39-P0067 (L45)
    Source excerpt
    half a year to become a break even trader

Learning and review

Model decisions rather than copy trades

S39 | Trader YC (Chill Trading) | A: Explicit statement

Attribution: highexplicit process description

He recommends books, mentors and tools to understand why a method works, then adapting through practice to personality and strengths. He sells education and describes his academy, so learning-product endorsements have a commercial context.

ELI5: Copy the reasoning, then test your own process.

S39-P0068 (L45) S39-P0069 (L45) S39-P0070 (L45) S39-P0096 (L45)

Development / Learning and review / Evidence and limitations

Demo and small capital before growth ambitions

S39 | Trader YC (Chill Trading) | A: Explicit statement

Attribution: highexplicit process description

His stated beginner advice is protect money, demonstrate repeatable non-gambling behavior and avoid desperate scaling. More capital cannot fix missing skill. His extreme small-account success does not establish that starting balance never matters or that others can reproduce it.

ELI5: Skill comes before account size.

S39-P0070 (L45) S39-P0071 (L45)

Sizing and exposure / Losses and survival / Learning and review

Discipline came from intensive screen practice

S39 | Trader YC (Chill Trading) | B: Reported experience

Attribution: highunverified reported experience

He reports trading the full session early in his career to learn patterns, tape and emotional response, not a prescriptive lifestyle prohibition. A finger injury impaired hotkey use, illustrating physical execution dependence. Heavy early activity is not stated as current optimal frequency.

ELI5: Fast trading depends on practiced actions and working hands.

S39-P0072 (L45) S39-P0073 (L45) S39-P0074 (L45)

Numbers

  • Value
    9:30-4 p.m.
    Context
    early practice schedule
    Ref
    S39-P0072 (L45)
    Source excerpt
    9:30 and I just keep trading until 4 pm

Losses and survival / Learning and review

Competition dispute is one-sided reported experience

S39 | Trader YC (Chill Trading) | B: Reported experience

Attribution: highone-sided account, uncorroborated

YC alleges removal after leading June-August and a September record, without clear notice or a cited violated rule. The supplied source includes neither organizer response nor independently examined rules, emails or records. Preserve claims as allegations, not findings about misconduct.

ELI5: One interview cannot decide the dispute.

S39-P0074 (L45) S39-P0075 (L45) S39-P0076 (L45) S39-P0077 (L45)

Numbers

  • Value
    $22,000
    Context
    competition starting balance
    Ref
    S39-P0075 (L45)
    Source excerpt
    around $22,000
  • Value
    912%
    Context
    prior record claimed
    Ref
    S39-P0075 (L45)
    Source excerpt
    record was 912%
  • Value
    1,700%
    Context
    September return claimed
    Ref
    S39-P0075 (L45)
    Source excerpt
    return reached 1,700%

Evidence and limitations

Broker requirements can change feasibility of a trading style

S39 | Trader YC (Chill Trading) | B: Reported experience

Attribution: highunverified reported experience

He says a requested broker had slower execution and fewer shortable small caps, yet he moved funds and reported similar-style success there. These operational statements are historical, unnamed and unverified; the alleged unwritten requirement is disputed rather than established.

ELI5: A strategy needs compatible execution and borrow.

S39-P0076 (L45) S39-P0077 (L45) S39-P0078 (L45)

Numbers

  • Value
    80% / 2 weeks
    Context
    claimed alternate-broker result
    Ref
    S39-P0078 (L45)
    Source excerpt
    80% returns in two weeks

Entries and execution / Evidence and limitations

Evidence provenance matters more than appearance

S39 | Trader YC (Chill Trading) | B: Reported experience

Attribution: highreported submissions and disputed process

He contrasts editable submitted statements with transaction history, deposits/withdrawals, live clips, broker confirmation and offered CPA audit. Editable format alone does not establish a document false or prove what verification process was actually used. He says his orders were normal retail limits, disputing a market-maker allegation.

ELI5: Ask where the evidence came from and how it was checked.

S39-P0079 (L45) S39-P0080 (L45) S39-P0081 (L45) S39-P0082 (L45)

Entries and execution / Evidence and limitations

Reported rule changes and organizer motives are unverified

S39 | Trader YC (Chill Trading) | E: Unclear or conflicting

Attribution: highone-sided allegations plus speculative motive

He alleges inconsistent broker and trading-style conditions, possible use of an earlier return, and no received refund at recording. Business/revenue explanations are his speculation; the host adds jealousy/performed-too-well speculation. Neither is evidence of actual motive, and fee arithmetic does not establish asserted millions in revenue.

ELI5: Keep the reported event separate from guesses about why.

S39-P0083 (L45) S39-P0084 (L45) S39-P0085 (L45) S39-P0086 (L45) S39-P0087 (L45) S39-P0088 (L45) S39-P0089 (L45) S39-P0090 (L45)

Numbers

  • Value
    600%
    Context
    earlier return allegedly considered
    Ref
    S39-P0083 (L45)
    Source excerpt
    600% that I achieved in August
  • Value
    around 2,000%
    Context
    December competition claim
    Ref
    S39-P0085 (L45)
    Source excerpt
    around 2,000%
  • Value
    $500
    Context
    approximate entry-fee allegation
    Ref
    S39-P0085 (L45)
    Source excerpt
    almost $500 per person

Evidence and limitations

Kinfo endorsement is not an independent audit in this corpus

S39 | Trader YC / Stephen Johnson | A: Explicit statement

Attribution: highexplicit advice plus platform promotion

Guest and host praise direct broker feeds and criticize screenshots/social following as evidence. This supports scrutinizing verification mechanisms, but their platform advocacy and extreme performance claims remain source statements. Unsupported scam-prevalence estimates should not become facts.

ELI5: Verification claims still need scope and provenance.

S39-P0087 (L45) S39-P0089 (L45) S39-P0090 (L45) S39-P0091 (L45) S39-P0092 (L45) S39-P0093 (L45) S39-P0094 (L45) S39-P0095 (L45)

Evidence and limitations

Consolidated trader profiles

Top

Adam Gefvert

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S26 | 2025-08-28: Discretionary small/microcap shorting combining PR, ownership/dilution research and technical timing.

Separate source chronologies

S26

Aiden (Below Trading)

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S35 | 2025-04-24: Long trader transitioning from OTC panics to listed first-green-day bounces and anticipated breakouts.

Separate source chronologies

S35

Alex Temiz

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S02 | 2025-10-09: Small-cap short seller explains research, failed premarket moves, opening-hour execution, confirmation adds and broker loss limits, alongside a promotional account of his career and verification.

Separate source chronologies

S02

Andrey (N0pr3s3n7)

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S21 | 2024-10-29: Poker professional using a rule-based, spreadsheet-tested short-only parabolic small-cap method.

Separate source chronologies

S21

Andy (Quickbags)

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S13 | 2024-08-02: Predominantly long low-priced momentum scalper using market heat and daily consolidation context.

Separate source chronologies

S13

  • Stage
    Learning period of about three to four years before progress
    Refs
  • Stage
    Current interview: listed low-priced names active while OTC largely quiet
    Refs

Arsalan (arslinnn)

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S19 | 2024-10-08: Discretionary extension short scalps with developing gap-up short method.

Separate source chronologies

S19

Binh (caption: Ben)

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S29 | 2026-03-05: Overextension reversals using underlying technicals, futures and purchased puts.

Separate source chronologies

S29

Bobdog

Distinct from Ravish. S28 describes a proprietary-indicator, wheel-like ownership approach; Ravish S30 describes range structures and calendars. Their option-selling language does not imply identical exposures or rules.

  1. S28 | 2026-06-20: Short-dated cash-secured puts and covered calls, with discretionary momentum, fundamentals and selective accumulation.

Separate source chronologies

S28

Brandon (BMAC)

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S14 | 2024-08-09: Discretionary Level 2 hyper-scalper in liquid active stocks, both directions.

Separate source chronologies

S14

Dom (Dominic; Dom_Mastro10)

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S12 | 2024-07-26: Long-biased multi-day breakout specialist with significant disclosed short-selling experience and risk setbacks.

Separate source chronologies

S12

Don Juan

This guest is not Lucas Marin. S05 emphasizes after-hours strength and overnight longs. Compare Lucas S32 as a thematic opposite, not another appearance of Juan.

  1. S05 | 2024-10-01: After-hours long specialist describes strong-day consolidation held above the close for a next-morning gap, plus an afternoon breakout setup, data-driven adaptation and continuing FOMO problems.

Separate source chronologies

S05

Edu Trades

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S07 | 2024-07-05: Process and psychology interview with a discretionary two-sided trader. Backside short recycling is described, but the CTNT loss shows that being eventually right is not enough to survive a violent squeeze.

Separate source chronologies

S07

Frank

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S23 | 2025-08-14: Biotechnology PhD and long-time trader explains catastrophic early leverage, abandoning a profitable but lucky method, and an undisclosed quantitative options model.

Separate source chronologies

S23

Humbled Trader

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S09 | 2024-12-03: A strategy-transition and life-balance interview: large-cap swing trading is favored for her current circumstances, but no concrete swing entry/exit system is disclosed. Recovery sizing and journal-based return to normal are more operationally specified.

Separate source chronologies

S09

James (Stockwonk)

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S15 | 2024-08-16: Formerly short-gapper-focused trader rebuilding a broader long/short strategy portfolio after changing regimes.

Separate source chronologies

S15

Jim (Jim37 / zhangji37)

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S18 | 2025-07-31: Engineer-developed automated day-one gapper short system with wide stops and after-hours exits.

Separate source chronologies

S18

Justin (TBOWS)

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S20 | 2025-03-26: Discretionary small-cap short fades split by session, including overnight/weekend exposure.

Separate source chronologies

S20

Kyle Williams

Two distinct interviews. S11 explains the first-red-day framework and past failures of self-enforced stops. S24 adds detailed day/swing examples, including swing development and a later BYND loss/recovery sequence. Similar principles do not make the later portfolio identical to the earlier one. Profit windows and account scopes stay separate.

  1. S11 | 2024-07-19: Discretionary first-red-day shorts, setup-level attribution and candid catastrophic-loss review. The interview distinguishes profitable offense from survivable defense and admits the underlying pattern has not been statistically tested.
  2. S24 | 2025-11-03: October 2025 review contrasts profitable TSLL/IREN swings and BURU shorts with detailed BYND losses, resets and eventual recovery.

Separate source chronologies

S11

S24

Lucas Marin

This guest is not Don Juan. S32 describes an institutional execution background, personal short-selling losses and after-hours short specialization. Compare the long-side overnight process in S05 without merging identities.

  1. S32 | 2025-12-17: Part-time after-hours short seller, previously institutional execution trader in Brazil. Later breakthrough couples structural stop placement, faster exits/reentries and stable outside income. Lucas is not Don Juan.

Separate source chronologies

S32

Mallik (TQQQTrader)

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S37 | 2025-09-11: Fully automated low-frequency leveraged-index position trading, seven strategies.

Separate source chronologies

S37

Marcelo (MightyStocks)

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S03 | 2025-09-25: Small-cap long trader explains simulator development, tiny live sizing, tape-driven hyperscalping and a halt-resumption squeeze example. A separate speculative swing framework conflicts with his scalp discipline and must remain separate.

Separate source chronologies

S03

Mike Huddie

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S10 | 2024-07-12: Data-informed discretionary small-cap trader describes changing regimes, consistent dollar risk and three pattern families. No fixed algorithm is supplied; the strongest content is how to test whether a pattern or its execution is failing.

Separate source chronologies

S10

Naoufel

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S34 | 2024-11-05: A system-mining and portfolio-supervision interview, with a calendar reversal example and a retrospective sizing experiment. It does not disclose the production robustness filter.

Separate source chronologies

S34

Pace

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S36 | 2024-10-22: Shanghai-based discretionary small-cap short trader exploiting early premarket low-volume spikes; separate OTM options strategy mentioned.

Separate source chronologies

S36

Ravenloft

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S01 | 2026-03-19: Entrepreneur describes a discretionary weekly option-selling wheel, with earlier private investment gains and accounting caveats that prevent treating the headline as a replicated strategy return.

Separate source chronologies

S01

Ravish

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S30 | 2026-06-06: Former technology worker explains range-selling, earnings iron flies, and calendars with modeled examples and self-reported results.

Separate source chronologies

S30

Rob Booker

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S06 | 2025-04-08: Veteran describes historical FX infrastructure edges, a shift to fundamentally screened stock shorts, extensive journals, transparency and a large hidden drawdown that challenges his small-size safety narrative.

Separate source chronologies

S06

Sean Rechtman

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S25 | 2026-04-23: Theme-led momentum swings in equities and directional options, with failed-break entries in chop.

Separate source chronologies

S25

Shahzad (Siylenia)

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S17 | 2024-08-30: ES futures trend trader moving from rule-based manual signals to automated execution; separate discretionary aftermarket trading.

Separate source chronologies

S17

Stan (Stan100X)

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S31 | 2026-05-21: Concentrated business research and long-horizon stock/LEAPS investing. Exceptional Rocket Lab winner followed deep losses and depended on option timing; interview includes acknowledged luck, family savings risk and unverified corporate/macro assertions.

Separate source chronologies

S31

Strati (Stratataaa)

S38 is Strati own interview. Its description Learn more about Strati links to another video; that link is preserved as related material, not used as the source video identity. Mentions of Kyle Williams, Big Kyle and Laptop Legend refer to other people and are not aliases of Strati.

  1. S38 | 2025-05-08: Long momentum and squeeze trader; conceptual short mirror not currently traded.

Separate source chronologies

S38

The Trading Farmer

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S16 | 2024-08-23: Long low-float micro-dip hyperscalping; 50/50 label is not a disclosed probability.

Separate source chronologies

S16

Tim / Trading With Tim

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S08 | 2024-09-06: Long-only hyperscalper explains whole-dollar undercut/reclaim, tape-based dip execution, commission sensitivity, adaptation and outlier losses. He is beginning to emphasize fewer, larger high-quality trades.

Separate source chronologies

S08

Trader YC (Chill Trading)

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S39 | 2026-01-15: Hong Kong momentum trader reviews a leveraged residual-balance challenge, real-time execution examples, regime adjustments and an unresolved competition dispute.

Separate source chronologies

S39

Xavier Comas (Xavi)

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S27 | 2026-04-09: Small-cap discretionary long/short recycling around VWAP, volume, trapped participants and changing trend.

Separate source chronologies

S27

Yanni

Read the source-specific chronology below. A later publication date does not date every experience discussed.

  1. S22 | 2025-07-10: Former SMB trader explains asymmetric sizing around exhaustion gaps, independent-account transition and team-based playbook development.

Separate source chronologies

S22

Zoo (captioned name, uncertain spelling)

The VTT lacks a publication date, source video URL and a reliable spelling of the guest name. Do not identify this guest with another trader by guessing. Real cue timestamps support citations. The title never trades through earnings is qualified: long calls in the run-up method are sold before the report, while shares or short puts may be held through it.

  1. S33 | Date unavailable: Options and equity trader focused on pre-earnings momentum, with portfolio drawdown stops and instrument selection by timing certainty. VTT supplies real cue timestamps; several options explanations are oversimplified and remain qualified.

Separate source chronologies

S33

Detailed video profiles

Top

$2.7M Verified: The Former Janitor Who Beat the Stock Market

Ravenloft | 2026-03-19 | completed

Entrepreneur describes a discretionary weekly option-selling wheel, with earlier private investment gains and accounting caveats that prevent treating the headline as a replicated strategy return.

Ravenloft separates an earlier history of small private investments from his later options routine, although the opening capital and total contributions are not reconciled. The title and spoken profit totals differ. His early investment process was familiarity and relationships, including a founding-stage nuclear opportunity that is not reproducible from a public ticker screen.

His current approach sells short-duration cash-secured puts on businesses he is willing to own, accepts assignment, then sells covered calls. He reinvests premiums and sometimes closes profitable options early to start the next weekly cycle. Premium percentages, discretionary strike choices, and when to refrain from covered calls are not fully specified.

The most consequential qualification is his explanation that losses can remain in assigned shares until he elects to realize them, including for taxes. The reassuring win-rate discussion must therefore be separated from total portfolio returns and drawdowns. He acknowledges capped upside and recounts becoming more aggressive after avoiding assignment for a time.

The closing discussion stresses relationships, skepticism about promoters, reduced greed, persistence, health, and financial insecurity that can survive wealth milestones. These are personal principles rather than tested controls.

Dimensions A-H

A
Private investments and wealth-manager disappointment preceded options beginning in October 2024. Early swing/trend experimentation narrowed toward weekly selling. Exact funding path not stated.
B
Discretionary wheel on familiar businesses. Believed advantage is premium income and patient ownership. Formal regime filters, valuation and durable company-quality tests not stated.
C
Weekly puts, assignment, calls and possible early buyback. Premium target and profit-capture alternatives reported. Strike algorithm, order type, fees and stop rules not stated.
D
Open-stock losses can remain unrealized. Tax sales and capped upside discussed. Margin wording conflicts; diversification, risk limits, maximum drawdown and fundamental exit rules not stated.
E
Avoid greed and attachment; accept capped upside. Financial comfort and life experience inform patience.
F
Networking, research writers and personal observation; no backtest, replay or systematic journal-review process stated.
G
Silver assignment versus claimed adjusted cost, Apple call wording, Ford rebound discretion and premium-chasing assignment are examples. Host reads windowed performance claims, not audited data.
H
Concept and option lifecycle reconstructible; fully faithful automation blocked by subjective security selection, ambiguous percentage basis and missing exposure/invalidation rules.

Unanswered questions

  • What was total option-start capital and subsequent net contributions?
  • Does the displayed curve include all unrealized share losses?
  • What is the premium percentage denominator?
  • What forces liquidation if the company thesis deteriorates?
  • How large can any issuer and correlated group become?
  • How are earnings, illiquid chains, tax effects and assignment handled?

Limitations

  • All profitability figures are transcript claims, not independently audited results.
  • Title/description and spoken profit totals differ.
  • Transcript has residual repetitions and unclear names/terms, including contradictory margin wording.
  • Only chapter timestamps exist; transcript references map to original line 51 and stable paragraphs.
  • Tax, broker, stock-price and instrument conventions are historical and require current verification before use.

Related topics and traders

  • Other option sellers: compare realized win rate with open equity and assignment risk.
  • Other part-time traders: compare stated monitoring needs.
  • Other interviews on greed, patience and credible mentors.

All insight records

S01-I001 S01-I002 S01-I003 S01-I004 S01-I005 S01-I006 S01-I007 S01-I008 S01-I009 S01-I010 S01-I011 S01-I012 S01-I013 S01-I014 S01-I015 S01-I016 S01-I017 S01-I018 S01-I019 S01-I020 S01-I021 S01-I022 S01-I023 S01-I024

Cross-source synthesis

K001 K002 K015 K016

Source locator

Original filename
$2.7M Verified_ The Former Janitor Who Beat the Stock Market.txt
Relative path
$2.7M Verified_ The Former Janitor Who Beat the Stock Market.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
fecc74a6684d696692d46273ea78fa9643af049251fa83b93237e0aafc47b8b5
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S01-C001
  • S01-C002
  • S01-C003
  • S01-C004
Second pass
Status
completed
Reviewed chunks
  • S01-C001
  • S01-C002
  • S01-C003
  • S01-C004
Findings
  • Second full ordered reading of all four chunks completed.
  • Added host insecurity narrative, health discussion, private-access distinction, expensive-premium experiment and small-account caveat.
  • Preserved margin contradiction and uncertain percentage denominator.
  • Numeric excerpts checked against cited normalized paragraphs by exact substring assertions; no direct quote objects used.
  • Intro preview and description repeats are not counted as independent corroboration.

Open the complete normalized transcript and original line mapping

16M Trader Explains His 1-Hour A Day Strategy

Alex Temiz | 2025-10-09 | completed

Small-cap short seller explains research, failed premarket moves, opening-hour execution, confirmation adds and broker loss limits, alongside a promotional account of his career and verification.

Temiz describes a long development path including repeated account failures, a move from indiscriminate breakout buying to similarly indiscriminate early shorting, and later process refinement. His small-account origin is not a complete net-capital history. The interview also promotes MIC and Kinfo, which should be kept separate from evidence of strategy effectiveness.

Current preparation scans leading percentage gainers, reads catalysts and filings, assesses prior daily failures and dilution, and watches for a premarket spike that has already failed. He prefers shorting the opening bounce in a broken stock rather than fighting an intact rising trend. Execution is concentrated in the opening hour, but early research and years of training sit outside that hour.

The examples show starters, resistance adds, later volume-confirmed additions, stopping failed trades, and re-entering when evidence changes. Position size changes with comfort and range. SPRC illustrates two stopped attempts before a reported profitable reversal, with conflicting dollar totals in the closing passage. These examples lack full fills, defined candle criteria and maximum attempt rules.

He values desk coaching, immediate exits when wrong, review, peers and ongoing education. A broker daily-loss limit is his practical answer to tilt. He distinguishes teaching quality from trading wealth, recommends paper consistency before live trading, and forecasts greater opportunity from retail participation, a historical outlook rather than a verified rule or tested forecast.

Dimensions A-H

A
Detailed career, capital failures, mentorship and shift away from premarket shorts preserved in chronology.
B
Short failed hype after daily and premarket weakness, contextualized by news/dilution; no validated expectancy supplied.
C
Top gainers, news, filings, daily chart, failed premarket push, opening resistance short, confirmation adds and covers on dips. Precise triggers, bar timeframe, stop distance and profit targets not stated.
D
Broker max-loss policy, stop/reentry, smaller size for uncomfortable range and selective approved risk increases. Portfolio exposure, borrow limits and tail-loss ledger not stated.
E
Admits tilt; separates ego from external controls; balances review with leisure.
F
Desk observation, coaching, daily-report-card example, continuing education and recordings. Formal statistical backtesting not stated.
G
VGGL first short, IPDN, unnamed whipsaw trade and SPRC discussed with exact numerical excerpts and one unresolved profit discrepancy.
H
A discretionary research protocol is reconstructible. News interpretation, broken-pattern definition, sizing, costs and reentry limits prevent faithful automation.

Unanswered questions

  • How is a death candle defined before the bar finishes?
  • What invalidation and maximum-attempt limits constrain repeated entries?
  • How are daily expected earnings estimated for the liquidation cap?
  • What are net results after all borrow and execution costs?
  • Which catalyst categories exclude a short and how is that decision recorded?

Limitations

  • Interview claims of account verification are not independent verification by this research.
  • SPRC profit conflicts between main example and closing.
  • Price shorthand and coach name are caption-uncertain.
  • Charts and complete execution ledger not supplied.
  • Broker, PDT, fees and market outlook are historical, requiring current verification before practical use.
  • Educational and platform promotions create selection and marketing incentives.

Related topics and traders

  • Other short sellers: compare premarket versus opening-hour preferences.
  • Other risk models: fixed risk versus confidence-weighted sizing.
  • Other educators: compare explanation completeness, not headline wealth.

All insight records

S02-I001 S02-I002 S02-I003 S02-I004 S02-I005 S02-I006 S02-I007 S02-I008 S02-I009 S02-I010 S02-I011 S02-I012 S02-I013 S02-I014 S02-I015 S02-I016 S02-I017 S02-I018 S02-I019 S02-I020 S02-I021 S02-I022 S02-I023 S02-I024 S02-I025 S02-I026 S02-I027 S02-I028 S02-I029 S02-I030

Cross-source synthesis

K002 K004 K005 K007 K015 K020 K023 K027

Source locator

Original filename
16M Trader Explains His 1-Hour A Day Strategy.txt
Relative path
16M Trader Explains His 1-Hour A Day Strategy.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
7f24f69dd7732164dbf0c24419728d338fcbe21dff6ab320205ce7869472e8ef
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S02-C001
  • S02-C002
  • S02-C003
  • S02-C004
  • S02-C005
  • S02-C006
Second pass
Status
completed
Reviewed chunks
  • S02-C001
  • S02-C002
  • S02-C003
  • S02-C004
  • S02-C005
  • S02-C006
Findings
  • All six chunks reread in order.
  • Preserved final beginner paper-first advice and discrepancy in closing SPRC amount.
  • Separated one-hour execution from preparation, host success-rate assumptions, industry accusations and policy forecasts.
  • Numeric excerpts exact-matched to normalized source; intro repetition not independent evidence.

Open the complete normalized transcript and original line mapping

26 Year Old Makes $1.5 MILLION Starting From 1 Share A Day

Marcelo (MightyStocks) | 2025-09-25 | completed

Small-cap long trader explains simulator development, tiny live sizing, tape-driven hyperscalping and a halt-resumption squeeze example. A separate speculative swing framework conflicts with his scalp discipline and must remain separate.

Marcelo describes a failed initial attempt, extended simulator practice and a small real-money phase before increasing size. The key diagnostic turning point was noticing that brief favorable moves were lost while he held for larger textbook targets. Costs were central: a high-frequency method capturing cents could be gross profitable and net unprofitable under another commission structure.

His timing depends on market depth and prints at an anticipated turning point. He explicitly says most tape is noise and requires a widely watched leading gapper, news, volume and chart context. A green print or large bid is therefore not a universal algorithmic signal. He exits immediately if continuation fails, though the latency tolerance and hard loss limits are not numerically specified.

The dip-and-rip example seeks a halt after a failed fade and a consolidation that he believes accumulated shorts. He anticipates covering after resumption, prefers early halts, uses a market order for speed and shows a rapid P&L move. The supplied text does not contain complete fills or exit details. He explicitly acknowledges late entries, reversals and large losses.

A separate swing-trading story involves holding Tesla through a major drawdown by imitating a wealthy investor mindset. This conflicts with instant-bail scalp risk and is not reproducible as a disciplined system. Claims about guaranteed rebounds, broker motives and market-maker intent remain opinions. Educational promotion and favorable outcome selection are visible limitations.

Dimensions A-H

A
Immigration, finance education, courses, failed account, simulator and tiny-live progression; timing and funding inconsistencies retained.
B
Long micro-momentum and trapped-short covering; news and attention context. Separate vague blue-chip fear-buying swings.
C
Gap/news/volume scans, Level 2 apex entry, immediate bail, first-halt preference, market order in example. Exact screen definitions, exits and size limits not stated.
D
Large share counts amplify delayed exits; halt and broker risks; family debt and separate swing drawdown. Daily loss cap and maximum exposure not stated.
E
Delayed gratification, tiny-real emotional practice, euphoria, rule-breaking reinforcement and ongoing nervousness; swing mindset is distinct.
F
Daily recordings, tape replay, metrics, long simulation, course basics and personal adaptation.
G
Funding and scale-up numbers, halt-resumption position, late-entry risk example, Tesla drawdown and conflicting timeline documented.
H
Researchable discretionary scalping framework; subsecond decisions, unobserved participant positioning, broker dependence and incomplete risk rules prevent faithful automation.

Unanswered questions

  • How much favorable movement must follow entry, and within what time?
  • What limits total daily attempts and loss?
  • What are actual round-trip slippage and fees at scale?
  • How are shorts inferred without position data?
  • What happens if a new halt blocks the bailout?
  • What reconciles funding totals and the 2022 chronology?

Limitations

  • Headline profits and recordings narrated here are not an independent audit.
  • Full video chart pixels and actual fills are not in the supplied text.
  • Captioned prices lack decimals in places; preserve rather than invent.
  • Funding totals and scale-up arithmetic are not reconciled.
  • Historical broker, halt-code and PDT statements require current verification before use.
  • Success statistics, broker motives and market-maker intent are not independently demonstrated.

Related topics and traders

  • Other hyper-scalpers for broker and net-cost comparisons.
  • Opening-hour short sellers: his squeeze longs target their invalidation.
  • Swing traders: contrast explicit risk rules with quantum narrative.

All insight records

S03-I001 S03-I002 S03-I003 S03-I004 S03-I005 S03-I006 S03-I007 S03-I008 S03-I009 S03-I010 S03-I011 S03-I012 S03-I013 S03-I014 S03-I015 S03-I016 S03-I017 S03-I018 S03-I019 S03-I020 S03-I021 S03-I022 S03-I023 S03-I024 S03-I025 S03-I026 S03-I027

Cross-source synthesis

K002 K003 K008 K012 K016 K018 K023 K024

Source locator

Original filename
26 Year Old Makes $1.5 MILLION Starting From 1 Share A Day.txt
Relative path
26 Year Old Makes $1.5 MILLION Starting From 1 Share A Day.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
ba6825f48186bdb164909d2dc82148fc2a44d22bf8375425315f55281573c09d
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S03-C001
  • S03-C002
  • S03-C003
  • S03-C004
  • S03-C005
  • S03-C006
Second pass
Status
completed
Reviewed chunks
  • S03-C001
  • S03-C002
  • S03-C003
  • S03-C004
  • S03-C005
  • S03-C006
Findings
  • Second ordered full review of all six previously displayed complete chunks in context.
  • Caught savings-plus-loan arithmetic, 2022 timeline conflict, scale-up conversion inconsistency and host scanner attribution.
  • Preserved swing/scalp separation, no actual exit in halt example, uncertain decimals and market-maker speculation.
  • All numerical excerpt fields exact-matched; repeated preview not counted independently.

Open the complete normalized transcript and original line mapping

Don Juan's CRAZY After Hours Pattern

Don Juan | 2024-10-01 | completed

After-hours long specialist describes strong-day consolidation held above the close for a next-morning gap, plus an afternoon breakout setup, data-driven adaptation and continuing FOMO problems.

Juan explains a long overnight setup built from observations of strong first green days with high share volume. He now waits for consolidation and after-hours strength above the regular close, having found earlier afternoon entries less reliable. Catalyst analysis is secondary and still developing.

He holds qualifying names overnight and generally sells in premarket. False after-hours breakouts are cut and can be retried if the stock again holds. The interview explicitly acknowledges offering/bad-news losses and a collapse tail, but provides no complete outcome dataset or portfolio risk cap.

An afternoon high-of-day breakout near multi-day levels is a related but distinct setup. The examples include a cut anticipatory attempt, a risk-multiple exit, subsequent reentry and another overnight opportunity. Several price and profit captions are uncertain, especially the WHLR result.

His process lessons concern data collection, changing rules with regimes, classifying FOMO losses, breaks to avoid boredom and the danger of leaving employment after a hot period. He does not claim his FOMO is cured, and current Friday statistics challenge an older fatigue belief.

Dimensions A-H

A
Engineering constraints, early experimentation, 2021 full-time leap and late-2022 discipline shift.
B
After-hours continuation into next-morning gap; afternoon high/multi-day breakout. Volume/holding interpreted as support, not proven causation.
C
High-volume green day near VWAP; after-hours above-close holding or break; cut fakeouts, retry and exit usually premarket. Exact stops, sizing and order types not stated.
D
Overnight offering tail, stress, accumulated small losses and slow-market risk reduction. Per-trade/day and correlated exposure limits not stated.
E
FOMO persists; breaks and labeling help; sleep cost visible.
F
Data/chart collection and monthly FOMO review. Dataset size and statistically controlled test not supplied.
G
WHLR numerical conflict, caption-uncertain TT/TTO examples, reward multiple and approximate outcome percentages retained.
H
Strong candidate for further rule definition and historical study, but not a fully specified algorithm because consolidation/holding/entry/exit and risk controls remain discretionary.

Unanswered questions

  • What defines holding and near VWAP numerically?
  • What is the full loss tail and offering gap magnitude?
  • What is the maximum overnight exposure?
  • How are premarket exits chosen and filled?
  • What distinguishes low-liquidity FOMO from a valid but quiet pattern?

Limitations

  • Description and host profit claims not independently verified.
  • WHLR caption result is inconsistent with narrated size/prices.
  • Several ticker/decimal captions are uncertain; screenshots are not supplied as readable images.
  • Outcome percentages have no denominator.
  • Historical prices and trading access need current verification before use.

Related topics and traders

  • Later Don Juan interviews for chronology.
  • After-hours specialists for above-close and news filters.
  • Premarket short sellers whose positions may supply overnight buying.

All insight records

S05-I001 S05-I002 S05-I003 S05-I004 S05-I005 S05-I006 S05-I007 S05-I008 S05-I009 S05-I010 S05-I011 S05-I012 S05-I013 S05-I014 S05-I015 S05-I016 S05-I017 S05-I018 S05-I019 S05-I020 S05-I021 S05-I022

Cross-source synthesis

K005 K006 K007 K012 K014 K019 K021 K024

Source locator

Original filename
Don Juan's CRAZY After Hours Pattern.txt
Relative path
Don Juan's CRAZY After Hours Pattern.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
9fa157f1a62cb61a391754d97a462a9f218e0c698e12e1429c94ff254d0c464c
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S05-C001
  • S05-C002
  • S05-C003
Second pass
Status
completed
Reviewed chunks
  • S05-C001
  • S05-C002
  • S05-C003
Findings
  • Second full ordered review of all three completely displayed chunks in context.
  • Caught Friday belief/data change, two setup distinction, news flexibility, fakeouts and offering-loss tail.
  • WHLR inconsistent profit retained; host squeeze explanation and account history separated.
  • Numerical excerpts exact-matched to normalized text.

Open the complete normalized transcript and original line mapping

Ep 13: Rob Booker: Veteran Trader Goes Transparent and Reveals Strategy

Rob Booker | 2025-04-08 | completed

Veteran describes historical FX infrastructure edges, a shift to fundamentally screened stock shorts, extensive journals, transparency and a large hidden drawdown that challenges his small-size safety narrative.

Booker history is a sequence of changing edges rather than one lifelong strategy. His FX carry depended on unusual leverage and account terms; other stories involve temporary platform weaknesses. Their disappearance led to years of searching before small-cap short selling became the main activity. These historical access and legal descriptions are not current guidance.

His current short framework begins with financially weak companies, limited cash, lower institutional ownership and repeated historical fades. He seeks premarket spikes toward monthly pivot areas, rejection/exhaustion and sometimes a VWAP loss. He normally gives little weight to single headlines, but avoids hot themes that can keep poor businesses running.

Documentation and public learning are unusually detailed: charts, annotated trades, losses, adverse excursion and AI-assisted common-trait research. However, the selected winning examples and pivot-touch statistic are not controlled performance tests. Potential long and earnings-short methods remain incomplete.

The critical risk finding is MLGO: early excessive size produced a huge unrealized drawdown before a profitable exit. His small-size, overcapitalization narrative must not obscure that risk path. Scenario drills, reduced size and accountability are useful process descriptions, but the interview still omits hard exposure and invalidation limits.

Dimensions A-H

A
Extensive law/business, FX, transition, short-selling and transparency chronology.
B
Weak-company shorts with pivot/exhaustion timing; historical financing edges and prospective long/earnings ideas separated.
C
Fundamental screen, premarket gain, pivots, VWAP rejection and discretionary holding. Stops, size formula, costs and reentry limits not stated.
D
Overcapitalization, small size, borrow costs and severe open MLGO loss. No reproducible risk cap; strong survival claims contradicted by tail episode.
E
Shame, accountability, emotional mistakes, patient entry and adverse-scenario rehearsal.
F
Annotated charts, loss journals, public-trade reverse engineering, AI filings analysis and historical pivot study. Selection bias and missing validation noted.
G
MLGO, captioned VC example, carry transfers and hypothetical scale-up losses kept distinct.
H
Current short method is researchable but discretionary. Historical special terms and broker bugs are not portable; potential long and earnings strategies lack full rules.

Unanswered questions

  • What ends a short when the fundamental thesis remains weak but price keeps rising?
  • What is maximum combined exposure under simultaneous squeezes?
  • What pivot formula and reference month are used?
  • What is the net expectancy including borrow and open drawdowns?
  • How does the long screen perform on non-winners and unseen periods?

Limitations

  • No independent verification of profits or historical anecdotes.
  • Pivot study has no data, formula or full methodology.
  • MLGO unrealized loss became a closed winner; daily total equity needed.
  • Ticker and drawdown percentage captions uncertain.
  • Historical leverage, legal, broker and borrow statements require current primary verification before application.
  • AI common-trait research starts from selected successful visible trades.

Related topics and traders

  • Wheel and patient-hold traders: distinguish closed wins from open risk.
  • Other shorts for news exceptions and cash-runway selection.
  • Other journaling/AI interviews for selected-sample validation.

All insight records

S06-I001 S06-I002 S06-I003 S06-I004 S06-I005 S06-I006 S06-I007 S06-I008 S06-I009 S06-I010 S06-I011 S06-I012 S06-I013 S06-I014 S06-I015 S06-I016 S06-I017 S06-I018 S06-I019 S06-I020 S06-I021 S06-I022 S06-I023 S06-I024 S06-I025

Cross-source synthesis

K001 K004 K005 K010 K012 K015 K016 K017 K022 K023

Source locator

Original filename
Ep 13_ Rob Booker_ Veteran Trader Goes Transparent and Reveals Strategy.txt
Relative path
Ep 13_ Rob Booker_ Veteran Trader Goes Transparent and Reveals Strategy.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
a76f7592fc6c5e3b0df5de9ed22f66dae8965f4dbf3497e783ba93a25293fb0b
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S06-C001
  • S06-C002
  • S06-C003
  • S06-C004
  • S06-C005
  • S06-C006
Second pass
Status
completed
Reviewed chunks
  • S06-C001
  • S06-C002
  • S06-C003
  • S06-C004
  • S06-C005
  • S06-C006
Findings
  • Second full ordered review of all six completely displayed chunks in context.
  • Kept historical FX arrangements separate from current shorts and hypothetical loss drills separate from MLGO.
  • Preserved hot-theme exception to no-news claim, pending long screen, uncertain drawdown percentage and missing hard risk caps.
  • All numerical excerpts exact-matched; preview repetition not independent evidence.

Open the complete normalized transcript and original line mapping

Ep. 1 Of Transparent Traders, with Millionaire Day Trader Edu Trades

Edu Trades | 2024-07-05 | completed

Process and psychology interview with a discretionary two-sided trader. Backside short recycling is described, but the CTNT loss shows that being eventually right is not enough to survive a violent squeeze.

Edu emphasizes matching methods and coaching to the person. He distinguishes emotional confidence from a genuine edge and says excessive focus on money or validation can interfere with checklists, preparation and broader context. His future-self visualization is a motivational practice, explicitly qualified by the need for real trading advantage.

His style combines components from several mentors, with direction changing as the stock moves from frontside to backside. In a downtrend he identifies an area of overhead supply, builds shorts and recycles inventory by reducing risk and re-adding higher. VWAP and occasionally unspecified EMAs inform context. These are discretionary principles rather than complete replicable rules.

CTNT is the interview most important counterexample: an apparently broken stock rallied dramatically before eventually fading, producing his worst loss despite being directionally right in the end. The example puts a concrete limit on broad advice to follow the phase or fade overhead resistance.

He supports transparency but allows privacy and separates teaching skill from profitable performance. He also identifies verification as a sales benefit. The conversation includes sponsor promotion, guru opinions and unverified headline totals, all distinct from measured strategy efficacy.

Dimensions A-H

A
Nine-year development, multiple teachers, long to short to flexible direction; limited capital-history detail.
B
Trend-phase following with backside short recycling and overhead-supply thesis. Long-growth advice lacks a setup.
C
Zones, partial reductions/re-adds, VWAP and unspecified EMAs; exact entries, hard stops, quantities and costs not stated.
D
CTNT severe squeeze, start-small lesson and risk comfort; numeric account risk and daily limits not stated.
E
Validation, milestones, family purpose, emotion-aware routine and comparison pressure discussed extensively.
F
Mentors, communities, strengths review, host setup-tagging suggestion and ongoing event study.
G
CTNT path, MLGO qualitative setup, GME dilution impression and approximate personal target preferences.
H
Useful discretionary process study; operational replication blocked by zone definition, net inventory controls, indicator settings and stops.

Unanswered questions

  • What forces final exit after partial reductions?
  • How is backside identified before a false reversal?
  • How is cumulative risk of recycling capped?
  • What metrics establish an edge before mindset work?
  • How are commissions and borrow charges included?

Limitations

  • No independent audit of headline profits or quoted success statistics.
  • No full trade ledger or precise setup rules.
  • Promotional sponsorship and educational business context.
  • Named-indicator settings not supplied.
  • Historical event, platform and broker claims require current verification before use.

Related topics and traders

  • Rob Booker MLGO and other unrealized-loss stories for path risk.
  • MightyStocks squeeze longs as opposing side of failed backside shorts.
  • Other teachers distinguishing educational value from earnings.

All insight records

S07-I001 S07-I002 S07-I003 S07-I004 S07-I005 S07-I006 S07-I007 S07-I008 S07-I009 S07-I010 S07-I011 S07-I012 S07-I013 S07-I014 S07-I015 S07-I016 S07-I017 S07-I018 S07-I019 S07-I020 S07-I021 S07-I022 S07-I023

Cross-source synthesis

K004 K005 K006 K011 K015 K017 K018 K020

Source locator

Original filename
Ep. 1 Of Transparent Traders, with Millionaire Day Trader Edu Trades.txt
Relative path
Ep. 1 Of Transparent Traders, with Millionaire Day Trader Edu Trades.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
f8e282d782fba363de1a78ef9021bdeb7ce358be7ed00067bfdcb83f8c3642b0
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S07-C001
  • S07-C002
  • S07-C003
  • S07-C004
  • S07-C005
Second pass
Status
completed
Reviewed chunks
  • S07-C001
  • S07-C002
  • S07-C003
  • S07-C004
  • S07-C005
Findings
  • Second full ordered review of five fully displayed chunks in context.
  • Preserved edge-before-psychology qualification, focus during execution versus social waiting, transparency exceptions and teaching honesty.
  • CTNT counterexample kept against the same-source backside confidence.
  • Exact numeric excerpt matching performed; price-path context not converted into invented fills.

Open the complete normalized transcript and original line mapping

Ep. 10 Of Transparent Traders: This Trader Hyper Scalped His Way to 1 MILLION

Tim / Trading With Tim | 2024-09-06 | completed

Long-only hyperscalper explains whole-dollar undercut/reclaim, tape-based dip execution, commission sensitivity, adaptation and outlier losses. He is beginning to emphasize fewer, larger high-quality trades.

Tim profitable visible period followed years of simulation, study and outside business income. Commission costs and session liquidity were central to the transition: he moved away from premarket limits toward opening-session market orders in low-float momentum names. The headline million was not fully represented in the then-uploaded account record.

His clearest setup waits for a strong stock to wash under a whole-dollar level and seeks a rebound/reclaim. Tape controls the entry and exit. He prefers frontside dips, uses less conviction on half-dollar variants, and sometimes grants the best setup more time than an ordinary instant-bail scalp. This exception matters for faithful reconstruction.

He aims for small price moves with smaller defined support risk, no adding to losers, and reductions after repeated failures. These rules remain vulnerable to slippage and mental-limit breaches. A missed-entry/chasing episode on wide-spread stocks caused an outlier day, illustrating how execution frustration can override the intended method.

He is now studying whether fewer high-quality larger trades can replace excess activity. Recordings, peer interaction and explaining trades support learning. Promotional relationships, selected visible wins and missing all-account reconciliation mean the interview cannot establish audited strategy expectancy.

Dimensions A-H

A
Teenage simulator, outside work, premarket phase, opening shift and current size refinement.
B
Long-only momentum dips, support absorption and whole-dollar reclaim.
C
Low float/news/volume context, market orders, small risk and tape exits; exact thresholds mostly discretionary.
D
No averaging down, mental daily loss region, reduce after repeated failures, slippage/capacity constraints. Portfolio and broker-enforced caps not stated.
E
Missed-entry tilt, perfectionism, red-day discouragement and separation from life.
F
High repetition with film review, peer learning, specialization and teaching feedback.
G
Whole-dollar hypothetical, beach loss, rough profitable week, historical costs and approximate drawdown.
H
Researchable discretionary method; high-resolution data and real fills required, variable bailout timing and size limits block faithful automation.

Unanswered questions

  • What exactly allows extra time under the level?
  • What limits net size when two clicks are used?
  • How often do market exits exceed the intended stop?
  • How are setup odds measured rather than mentally estimated?
  • When is a rough patch evidence of decay rather than temporary variance?

Limitations

  • Profit total partly awaited additional broker upload at interview time.
  • Headline and drawdown numbers not independently audited.
  • Commission/broker/PDT/fee statements historical.
  • No complete real-trade entry/exit ledger for the named setup.
  • Sponsorship and paid educational relationship explicit.

Related topics and traders

  • MightyStocks for hyperscalping, tape and commission dependence.
  • Other short sellers for opposing round-number squeeze trades.
  • Broker-enforced versus mental max-loss controls.

All insight records

S08-I001 S08-I002 S08-I003 S08-I004 S08-I005 S08-I006 S08-I007 S08-I008 S08-I009 S08-I010 S08-I011 S08-I012 S08-I013 S08-I014 S08-I015 S08-I016 S08-I017 S08-I018 S08-I019 S08-I020 S08-I021 S08-I022 S08-I023 S08-I024 S08-I025

Cross-source synthesis

K001 K002 K003 K004 K005 K006 K007 K008 K012 K013 K014 K015 K018 K021 K022

Source locator

Original filename
Ep. 10 Of Transparent Traders_ This Trader Hyper Scalped His Way to 1 MILLION.txt
Relative path
Ep. 10 Of Transparent Traders_ This Trader Hyper Scalped His Way to 1 MILLION.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
ce2394bc881446b72336d00009daf6feaefefb9f5b3a81262bcfc0cb912d782d
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S08-C001
  • S08-C002
  • S08-C003
  • S08-C004
  • S08-C005
Second pass
Status
completed
Reviewed chunks
  • S08-C001
  • S08-C002
  • S08-C003
  • S08-C004
  • S08-C005
Findings
  • Second full ordered review of all five fully displayed chunks in context.
  • Preserved strongest-setup timing exception, mental rather than enforced max loss, no-add versus recycle distinction and unuploaded brokerage history.
  • Host market-dominance inference separated from guest method; losing examples and social costs retained.
  • Numerical excerpt fields exact-matched.

Open the complete normalized transcript and original line mapping

Ep. 12: Why Humbled Trader Switched To Swing Trading ($280k Verified Profits)

Humbled Trader | 2024-12-03 | completed

A strategy-transition and life-balance interview: large-cap swing trading is favored for her current circumstances, but no concrete swing entry/exit system is disclosed. Recovery sizing and journal-based return to normal are more operationally specified.

Humbled Trader describes a shift toward large-cap swings motivated by missed multi-day continuation, less sustainable day-trading hours and a desire for personal time. Illness reinforced that transition. She compares tagged methods and reports swings produced most gains while day trading generated larger drawdowns in the current year. Those are retrospective account claims, not independent strategy validation.

The most usable operational detail is her drawdown-recovery procedure: reduce the affected style size, maintain journals, wait for usual performance characteristics to return, then scale slowly. She recognizes emotional triggers and stops before trading while tilted. No complete swing setup, stock screen, stop or exit is disclosed.

Much of the middle interview concerns a scanner she co-founded. Its portability, essential data and planned alerts explain her workflow goals, but pricing is historical with a corrupted annual quote, and planned features must not be presented as current capabilities.

The remainder examines transparency, privacy, teaching ability, promotional volatility, peer support and why money alone does not settle personal goals. These process/life lessons are substantial but distinct from a reproducible trading edge.

Dimensions A-H

A
Long career, early failures, large-cap migration and gradual 2024 swing transition.
B
Capture longer continuation with large-cap swings and trend following; no concrete setup or validated edge rule.
C
Tagging, research scanner and proposed alerts; entry, exit, stops, position size and holding maxima not stated.
D
Downsize after losses, minimum reduced-size interval, monitor baseline metrics, gradual return; overnight/correlation risks not explicitly addressed.
E
Trigger recognition, emotional boundaries, worth/achievement pressure and life balance.
F
Mentors, retrospective charts, strategy tagging, journal recovery and testing year.
G
Approximate annual result attribution; no complete trade example; Chinese-stock losses mentioned without detail.
H
Swing concept insufficient for replication. Recovery protocol can be studied once thresholds defined; scanner discussion is not an automated strategy.

Unanswered questions

  • Which swing setups, stops and exits produced results?
  • How much risk and exposure did each style use?
  • How is normal performance defined before size returns?
  • What handles overnight gaps and correlated holdings?
  • What changes if the broad uptrend ends?

Limitations

  • No actual swing setup is reconstructed because it is not given.
  • Profits and strategy attribution not independently audited.
  • Product promotion occupies substantial interview time.
  • Historical pricing/capabilities and captioned annual fee are not current facts.
  • No exact baseline win-rate/reward-risk thresholds for recovery.

Related topics and traders

  • Other traders comparing teaching ability with profit records.
  • Drawdown recovery and sizing approaches in other interviews.
  • Part-time opening scalpers as a different lifestyle-fit solution.

All insight records

S09-I001 S09-I002 S09-I003 S09-I004 S09-I005 S09-I006 S09-I007 S09-I008 S09-I009 S09-I010 S09-I011 S09-I012 S09-I013 S09-I014 S09-I015 S09-I016 S09-I017 S09-I018 S09-I019 S09-I020

Cross-source synthesis

K007 K012 K014 K015 K018 K021 K023

Source locator

Original filename
Ep. 12_ Why Humbled Trader Switched To Swing Trading ($280k Verified Profits).txt
Relative path
Ep. 12_ Why Humbled Trader Switched To Swing Trading ($280k Verified Profits).txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
8ef07d2c5e7567f0650b7275e7d9706f1e59441bea9597dd11a5f84dd0bbae6e
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S09-C001
  • S09-C002
  • S09-C003
  • S09-C004
  • S09-C005
Second pass
Status
completed
Reviewed chunks
  • S09-C001
  • S09-C002
  • S09-C003
  • S09-C004
  • S09-C005
Findings
  • Second full ordered review of all five fully displayed chunks in context.
  • Kept strategy transition gradual and illness subsequent, recovery protocol exact, product roadmap versus present features separated.
  • No swing setup invented from scanner fields; historical annual-price corruption retained.
  • Numerical excerpts exact-matched.

Open the complete normalized transcript and original line mapping

Ep. 2 Of Transparent Traders - Top MILLIONAIRE Trader Huddie Reveals His Core 3 Trading Patterns

Mike Huddie | 2024-07-12 | completed

Data-informed discretionary small-cap trader describes changing regimes, consistent dollar risk and three pattern families. No fixed algorithm is supplied; the strongest content is how to test whether a pattern or its execution is failing.

Huddie emphasizes adapting execution and direction rather than assuming a familiar pattern has permanent expectancy. His first-red-day focus weakened, a strong-market long phase followed, and then both approaches became less reliable. Current focus is gap-and-crap shorts informed by data, while older first-red-day and breakout ideas remain selective.

His central risk concept combines appropriate chart invalidation with consistent dollar risk. Maximum shares against the narrowest possible stop can lead to repeated whip-outs and emotional avoidance; data must distinguish execution problems from genuine pattern decay. He wants enough tolerable samples to make that distinction.

The research discussion begins with simple gap cohorts and the adverse price path, including slippage, rather than only red/green outcomes. He openly says he does not know every causal reason for changed behavior. That uncertainty is more informative than a fabricated algorithm or market-maker story.

Mentorship, transparency and lifecycle learning round out the interview. Three strategy names are present, but none is specified with enough thresholds and complete trade records for faithful automation.

Dimensions A-H

A
Nine-year career with explicit regime-dependent direction shifts.
B
Current gap fades, selective first-red-day shorts and breakouts.
C
Gap study, prior highs/pivots not specified, trend/exhaustion context, time or price exit plan. Exact triggers and orders not stated.
D
Consistent dollar risk, size adjusted to stop distance, survivable sample sequence; daily/exposure caps not stated.
E
Coachable attitude, patience and avoiding pain-driven distortion from excessive size.
F
Average wins/losses, win rate, months of samples, gap cohorts and open-to-high path research.
G
Regime examples, selective GME context and hypothetical sizing; no complete fill-by-fill example.
H
Research framework useful; precise setup parameters, risk levels and exits absent.

Unanswered questions

  • Which cohort currently has positive net expectancy?
  • How are stop levels selected before entry?
  • How many losses distinguish decay from variance?
  • How is daily and correlated risk capped?
  • What exactly makes a selective first-red-day A+?

Limitations

  • Dataset and net returns not supplied.
  • Captioned $150 risk distance is uncertain, not silently treated as $1.50.
  • Current named strategies are not complete execution instructions.
  • Promotional claims and sponsor information not independently verified.

Related topics and traders

  • Edu and other adaptable traders for changing directional bias.
  • Tim hyperscalper differs on tight-risk execution because instruments/time horizon differ.
  • Rob Booker path risk and unknown market causes.

All insight records

S10-I001 S10-I002 S10-I003 S10-I004 S10-I005 S10-I006 S10-I007 S10-I008 S10-I009 S10-I010 S10-I011 S10-I012 S10-I013 S10-I014 S10-I015 S10-I016 S10-I017

Cross-source synthesis

K003 K006 K008 K015 K017 K022 K024

Source locator

Original filename
Ep. 2 Of Transparent Traders - Top MILLIONAIRE Trader Huddie Reveals His Core 3 Trading Patterns.txt
Relative path
Ep. 2 Of Transparent Traders - Top MILLIONAIRE Trader Huddie Reveals His Core 3 Trading Patterns.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
86f84e9b139379befcf570cc737aa93ebf29d8c926a2e608e952aafff535cd38
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S10-C001
  • S10-C002
  • S10-C003
Second pass
Status
completed
Reviewed chunks
  • S10-C001
  • S10-C002
  • S10-C003
Findings
  • Second full ordered review of the three actual chunks in context.
  • Attempt to read nonexistent C004 returned error, not a missing source chunk; manifest contains three.
  • Kept weaker gap-down evidence versus selective GME exception, causal uncertainty and constant-dollar sizing distinct.
  • Numeric excerpts exact-matched.

Open the complete normalized transcript and original line mapping

Ep. 3 Of Transparent Traders - Kyle's $5M Dollar Strategy: First Red Day Secrets

Kyle Williams | 2024-07-19 | completed

Discretionary first-red-day shorts, setup-level attribution and candid catastrophic-loss review. The interview distinguishes profitable offense from survivable defense and admits the underlying pattern has not been statistically tested.

Kyle attributes a large fraction of career profit to first-red-day shorts but carefully distinguishes this personal attribution from underlying setup statistics, which he has not formally tracked. He recognizes behavior changes in extended runners through repeated visual exposure and a partially described checklist. A red candle after a big gap is not equivalent to a daily break below the prior close.

The most consequential evidence concerns loss visibility. FFIE exposed the failure of self-enforced stops despite a long record of respecting them; earlier ILAG-like and HKD episodes, plus MMNFF, show how recovery and netting can conceal individual path risk. He admits luck rather than claiming a smooth curve proves perfect discipline.

His defense framework includes price invalidation, dollars at risk, consecutive-loss impact, external last-resort enforcement and willingness not to trade. No complete sizing, entry, exit or broker-control configuration is supplied. The account percentages discussed are hypothetical stress examples.

Learning advice combines small exploratory exposure, later specialization, public review and checking personal records against third-party imports. OTC opportunities declined in his experience, so he avoids pretending his original profitable path is an unchanged beginner curriculum.

Dimensions A-H

A
OTC-heavy early career, later listed focus; setup attribution and public review evolved.
B
First-red-day behavior change after multiday extension; old OTC pump shorts secondary.
C
Gap, morning spike, volume and relative behavior cues; red candle/day distinction. Exact trigger, orders and exits not stated.
D
Price and dollar risk, losing-streak stress, external backstop; no fixed risk cap stated.
E
Missed-profit frustration, conviction, self-enforcement failure and action itch.
F
Retrospective setup attribution, broad chart study, public recaps, small exploratory trading.
G
FFIE, uncertain ILAG-like ticker, HKD and MMNFF failures; personal profit attribution not independently audited.
H
Discretionary concept researchable, missing full checklist and trading rules prevent faithful automation.

Unanswered questions

  • Which complete cues and weights qualify an entry?
  • What stop and profit-taking rules apply?
  • What broker backstop was actually implemented after FFIE?
  • How are open drawdowns included in public risk assessment?
  • What is net expectancy over all candidates rather than only traded examples?

Limitations

  • Self-reported results and platform descriptions are not independently audited.
  • Ticker I lag / IL a is uncertain and not silently corrected.
  • Host claims on losing-trader percentages and sponsor offers are not verified research.
  • Headline five million is career context, not profit of a complete replicable algorithm.

Related topics and traders

  • S24 Kyle Williams is the same recurring guest; compare chronology.
  • S10 Mike Huddie sees weaker first-red-day expectancy under his definition; preserve difference.
  • S01 Ravenloft and S06 Rob Booker also show why closed or aggregated curves miss path risk.
  • S02 Alex Temiz uses a broker loss limit; compare enforcement with mental limits.

All insight records

S11-I001 S11-I002 S11-I003 S11-I004 S11-I005 S11-I006 S11-I007 S11-I008 S11-I009 S11-I010 S11-I011 S11-I012 S11-I013 S11-I014 S11-I015 S11-I016 S11-I017 S11-I018 S11-I019 S11-I020 S11-I021 S11-I022 S11-I023 S11-I024 S11-I025

Cross-source synthesis

K001 K006 K010 K012 K015 K020 K021

Source locator

Original filename
Ep. 3 Of Transparent Traders - Kyle's $5M Dollar Strategy_ First Red Day Secrets.txt
Relative path
Ep. 3 Of Transparent Traders - Kyle's $5M Dollar Strategy_ First Red Day Secrets.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
73382da4a302330fef9b485ad6c2626ca56ffd25fed8d854f17dae17e580f4fc
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S11-C001
  • S11-C002
  • S11-C003
  • S11-C004
Second pass
Status
completed
Reviewed chunks
  • S11-C001
  • S11-C002
  • S11-C003
  • S11-C004
Findings
  • All four chunks read fully; truncated combined reread was replaced by a complete two-chunk reread.
  • Second ordered omission review used the complete displayed chunks: distinguished red candle/day, OTC versus listed evolution, statistical gap, host remarks and adverse examples.
  • All numeric excerpts exact-matched; uncertain captions retained.

Open the complete normalized transcript and original line mapping

Ep. 4 Of Transparent Traders- Dom's Secret to $1.7M in Long Only Profits!

Dom (Dominic; Dom_Mastro10) | 2024-07-26 | completed

Long-biased multi-day breakout specialist with significant disclosed short-selling experience and risk setbacks.

Dom attributes initial profitability to removing distracting losing activities and specializing in the multi-day breakout. After OTC liquidity faded in 2019 he adapted familiar concepts to listed names. The setup remains discretionary: theme, volume, consolidation, an anticipatory entry and a base-derived invalidation all matter.

He candidly describes risk deterioration during Chinese-pump shorting, oversized losses, smaller size from 2023 and rebuilding consistency. A low win rate and occasional large-R winners require small routine losses. He distinguishes acceptable failed trades from catastrophic deviations, while acknowledging gaps and offerings can exceed intended risk.

His learning framework combines personal spreadsheets, automated analytics, emotional journals and peer learning. He emphasizes tracking the trader as well as the pattern, avoiding forced trades during slow periods and controlling post-loss tilt. Title claims of long-only profits and any perfect-discipline narrative conflict with the body.

Dimensions A-H

A
Initial unprofitable period, single-pattern focus, 2019 transition, 2022-2023 shorting/risk damage, later size reduction (I002,I004,I011,I028).
B
Multi-day breakout core, regime/theme quality, anticipatory entry and additions (I006-I010).
C
Consolidation invalidation and discretionary entry; full exit and sizing not stated (playbook).
D
One-R intent versus actual huge deviations, hard stops/cooling-off suggestions, overnight checks (I012-I019,I030-I032).
E
Low-win-rate temperament, drawdown recovery, complacency and compounding mistakes (I014,I016,I020,I029-I033).
F
Personal analytics, removal experiments, peer learning, self-testing and narrow specialization (I003,I021-I025,I034).
G
Profit-history limitation and actual loss examples distinguished from illustrative values (I001,I013,I019,I020).
H
Researchable discretionary method; no complete executable rules or independent return ledger (playbook).

Unanswered questions

  • How are the consolidation death line and early entry defined precisely?
  • What criteria allow an overnight hold or disqualify offering risk?
  • How are adds and profit exits handled without increasing planned R?
  • Which loss controls are currently active versus suggestions?
  • What historical trades are absent from the connected performance account?

Limitations

  • Title long-only framing conflicts with extensive guest shorting discussion.
  • Profit coverage limitation explicitly reported.
  • Host punishment examples are not adopted research recommendations.
  • Caption one hour often appears to mean one R; rely on explicit R passages for rule interpretation.
  • No raw account ledger or complete setup example.

Related topics and traders

  • S13 secondary breakouts
  • Jack Kellogg
  • Clover Trading
  • Tim Grittani
  • Steven Dux
  • Roland Wolf

All insight records

S12-I001 S12-I002 S12-I003 S12-I004 S12-I005 S12-I006 S12-I007 S12-I008 S12-I009 S12-I010 S12-I011 S12-I012 S12-I013 S12-I014 S12-I015 S12-I016 S12-I017 S12-I018 S12-I019 S12-I020 S12-I021 S12-I022 S12-I023 S12-I024 S12-I025 S12-I026 S12-I027 S12-I028 S12-I029 S12-I030 S12-I031 S12-I032 S12-I033 S12-I034

Cross-source synthesis

K001 K002 K003 K005 K006 K012 K013 K019 K021 K022

Source locator

Original filename
Ep. 4 Of Transparent Traders- Dom's Secret to $1.7M in Long Only Profits!.txt
Relative path
Ep. 4 Of Transparent Traders- Dom's Secret to $1.7M in Long Only Profits!.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
672fc8b7523bff0d17eaed1521032093bf79a89189e83a05692d4913bd761a76
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S12-C001
  • S12-C002
  • S12-C003
  • S12-C004
  • S12-C005
Second pass
Status
completed
Reviewed chunks
  • S12-C001
  • S12-C002
  • S12-C003
  • S12-C004
  • S12-C005
Findings
  • Full second ordered review of C001-C005 complete.
  • Separated host punishment/food/alcohol comments from guest trading restrictions.
  • Preserved claimed broker-control nonuse, title long-only conflict and imperfect risk history.
  • Captured low-win-rate math, quiet-regime carryover, manual logging and overnight exceptions.

Open the complete normalized transcript and original line mapping

Ep. 5 Of Transparent Traders: Young MILLIONAIRE Hyper Scalper Andy (Quickbags) Shares His Secrets

Andy (Quickbags) | 2024-08-02 | completed

Predominantly long low-priced momentum scalper using market heat and daily consolidation context.

Andy prefers the range and activity in sub-dollar stocks but waits for prior runners to establish tight daily bases before renewed upside. He also mentions initial-run consolidation trades. Market participation and retained gains decide where he applies that framework; a pattern alone is insufficient when money has moved elsewhere.

His risk discussion combines mostly hard stops, quick loss cuts, tiny exploratory positions and aggressive sizing on experienced A-plus setups. The last category is not quantified. He reports several years to progress, values personality fit, and distinguishes useful learning communities from unverified performance claims.

The interview is short and does not reveal profit targets, risk budgets, exact entry triggers or execution detail despite the hyper-scalper title. Social-media fade discussion is only a concept, and the guru/furu exchange is explicitly a misunderstanding and joke.

Dimensions A-H

A
Several years to progress; mentor/community influences but no full dated biography (I014,I017).
B
Long consolidation continuation and secondary breakout in a hot low-price segment (I002-I007).
C
Held gains and repeated runners guide selection; entries remain qualitative (I003-I007).
D
Hard stops, quick cuts, small learning size; aggressive A-plus size not quantified (I009,I010,I018-I020).
E
Personality fit and discipline; leaderboard compared with game score (I012,I017,I019).
F
Experiment small, learn from community and role models, retain journal (I011,I014,I020).
G
Host claims $1.3M; guest says three/four years to progress; no detailed trade ledger (I001,I017).
H
Discretionary researchable pattern; insufficient fully systematic rules (playbooks).

Unanswered questions

  • What exact breakout trigger and stop placement apply?
  • What defines an A-plus setup and its maximum account risk?
  • How are scalps exited and sized against available liquidity?
  • Which caption-rendered example tickers were intended?

Limitations

  • No demonstrated trade example or complete system.
  • Headline claims not independently verified.
  • Tickers are ambiguous in automatic captions.
  • Description chapter times do not timestamp transcript paragraphs.

Related topics and traders

  • Jack Kellogg
  • Tim Sykes
  • Multi-day momentum and sympathy frameworks

All insight records

S13-I001 S13-I002 S13-I003 S13-I004 S13-I005 S13-I006 S13-I007 S13-I008 S13-I009 S13-I010 S13-I011 S13-I012 S13-I013 S13-I014 S13-I015 S13-I016 S13-I017 S13-I018 S13-I019 S13-I020

Cross-source synthesis

K003 K005 K006 K015 K018

Source locator

Original filename
Ep. 5 Of Transparent Traders_ Young MILLIONAIRE Hyper Scalper Andy (Quickbags) Shares His Secrets.txt
Relative path
Ep. 5 Of Transparent Traders_ Young MILLIONAIRE Hyper Scalper Andy (Quickbags) Shares His Secrets.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
7027d963831717260a309c077b1c3f90bafec130c8a95caba04f12aea6a6ead5
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S13-C001
  • S13-C002
Second pass
Status
completed
Reviewed chunks
  • S13-C001
  • S13-C002
Findings
  • Second full ordered review of both chunks complete.
  • Retained initial-run variant separately from preferred secondary breakout.
  • Separated host comments from guest risk claims and preserved guru/furu correction.
  • Added verification nuance, dated OTC limitation and concept-only promotion fade.

Open the complete normalized transcript and original line mapping

Ep. 6 Of Transparent Traders: BMAC changed these 3 things to make 703k profits in the last 12 months

Brandon (BMAC) | 2024-08-09 | completed

Discretionary Level 2 hyper-scalper in liquid active stocks, both directions.

BMAC explains acceleration through screen time, a Denver trading pod and full-time focus after an employer closure. He grew opportunities rather than share size. The title and body captions disagree on twelve-month profits, so those figures remain separate source claims.

He reads charts for context and Level 2 for rapid entries and exits. Range, volume and tight spreads focus his universe. Most holds last seconds; lack of immediate follow-through prompts an attempted small exit. He can switch from continuation to reversal when tape behavior changes, but the exact signals are not disclosed.

His developmental advice emphasizes tiny experiments, a trade database spanning regimes and personal stress, raw complete trading archives, and stable size. Low household expenses help protect independence. Verification discussion contains strong opinions and unverified allegations that should not be promoted into established findings.

Dimensions A-H

A
Learning via Eric Green, Level 2 expansion, pod and January full-time transition (I003,I004,I012,I013).
B
Context/tape hyper-scalping rather than fixed chart shapes (I005-I009).
C
Range-volume-spread filter and aggressive long fills; custom scanner (I010,I024-I026,I029).
D
Quick failed-signal exits, stable size and low bills; no explicit daily cap (I014,I024,I028).
E
Active personality, quick-profit preference, motivation and awareness of personal cycles (I011,I021,I028,I030).
F
Full sessions, logs, tiny broad experiments, regime coverage and pod learning (I003,I012,I013,I022,I023,I027).
G
Profit discrepancy retained; trade frequencies and durations descriptive; host loss separately attributed (I001,I002,I005,I020).
H
Researchable discretionary framework; precise tape rules and execution costs absent (playbook).

Unanswered questions

  • What precisely constitutes each Level 2 entry and exit?
  • What is the maximum daily loss, per-trade size and halt policy?
  • How much does 200-trade frequency cost in commissions and spread?
  • What does the scanner filter, and when is each pattern excluded?

Limitations

  • Strong high-win-rate impossibility claims are opinions, not proven mathematical limits.
  • No raw video trading archive or demonstrated individual trade in this supplied text.
  • Specific allegations remain unverified source claims.
  • Numerical title/caption discrepancy.

Related topics and traders

  • S13 Quickbags
  • S16 Trading Farmer context
  • Eric Green
  • MMU

All insight records

S14-I001 S14-I002 S14-I003 S14-I004 S14-I005 S14-I006 S14-I007 S14-I008 S14-I009 S14-I010 S14-I011 S14-I012 S14-I013 S14-I014 S14-I015 S14-I016 S14-I017 S14-I018 S14-I019 S14-I020 S14-I021 S14-I022 S14-I023 S14-I024 S14-I025 S14-I026 S14-I027 S14-I028 S14-I029 S14-I030

Cross-source synthesis

K001 K003 K005 K008 K012 K013 K014 K015

Source locator

Original filename
Ep. 6 Of Transparent Traders_ BMAC changed these 3 things to make 703k profits in the last 12 months.txt
Relative path
Ep. 6 Of Transparent Traders_ BMAC changed these 3 things to make 703k profits in the last 12 months.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
e7c3b9fc261abf710ce0b09ccb3d3dc681bbd84e551abc8e59797d903c7db7c8
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S14-C001
  • S14-C002
  • S14-C003
  • S14-C004
Second pass
Status
completed
Reviewed chunks
  • S14-C001
  • S14-C002
  • S14-C003
  • S14-C004
Findings
  • Re-read all four chunks in order.
  • Added explicit distinction between host $30K loss and guest history.
  • Preserved $703K title versus $73K caption.
  • Captured commercial scanner disclosure, low-expense survival planning and full-archive learning.
  • Did not convert high-win-rate skepticism into a universal fraud test.

Open the complete normalized transcript and original line mapping

Ep. 7 Of Transparent Traders: He LOST IT ALL Then Made $1.1MILLION

James (Stockwonk) | 2024-08-16 | completed

Formerly short-gapper-focused trader rebuilding a broader long/short strategy portfolio after changing regimes.

James describes two distinct careers: successful 2013-2014 trading followed by a major loss and continued 2015 depletion, then outside-business rebuilding and paper trading in 2016-2017 before a small-account restart. Prepared gapper shorts met extraordinary frequency in late 2020/early 2021, producing the headline surge, with withdrawals preserving much of it.

The old candidate universe became scarcer as he observed lower floats and reverse splits, prompting years of lower-frequency strategy development. He reports a later red year and recent paper-trading break, uses spreadsheets and historical outside-period tests, and balances broad rules against overfitting. The interview is mostly research process rather than a complete signal disclosure.

Risk lessons include regular withdrawals, alternate income, smaller size during inconsistency, hard stops on day trades and tighter overnight selection after a near-$100K loss. Important exceptions remain: modest hard-stop widening and a small long-term Tesla short with a mental stop. Public allegations and market commentary are kept separate from strategy evidence.

Dimensions A-H

A
2013-2015 loss cycle, 2016-2017 rebuild, 2018 restart, 2020-2021 boom, later research (I008-I016).
B
Historical gapper fade plus developing squeeze longs; changing population and frequency (I003-I007,I032).
C
Historical cap filter only; entry/exit specification absent (playbooks/I030).
D
Pay self, independent income, reduce size, hard stops with exceptions and overnight risk (I008-I016,I025-I027).
E
Pressure from income dependence and post-loss impairment; simulation as reset (I012,I013,I020).
F
Spreadsheets, observation, outside-period tests, rule boundary and overfit balance (I017-I021,I028-I033).
G
Uncertain 2014 loss range, later overnight loss, host versus guest parameters separated (I001,I011,I016,I031).
H
No fully replicable strategy; historical discretionary framework and concept-stage longs (playbooks).

Unanswered questions

  • What are the full gapper and squeeze-long rules?
  • Were earlier years genuinely untouched for out-of-sample testing?
  • What are withdrawal triggers, maximum account risk and permitted stop widening?
  • Which overnight conditions and sizes are acceptable?
  • How is multiple-testing risk managed across twenty to thirty ideas?

Limitations

  • Performance is interview-reported.
  • Exact 2014 loss and ticker names are uncertain.
  • Historical broker/listing-rule discussion is not current regulatory guidance.
  • Allegations about public figures and companies are unverified source opinions.
  • No strategy code, full parameters or actual backtest results.

Related topics and traders

  • S12 market adaptation and risk
  • S18 gapper systematic methods
  • S21 edge specification
  • Edge to Trade historical data

All insight records

S15-I001 S15-I002 S15-I003 S15-I004 S15-I005 S15-I006 S15-I007 S15-I008 S15-I009 S15-I010 S15-I011 S15-I012 S15-I013 S15-I014 S15-I015 S15-I016 S15-I017 S15-I018 S15-I019 S15-I020 S15-I021 S15-I022 S15-I023 S15-I024 S15-I025 S15-I026 S15-I027 S15-I028 S15-I029 S15-I030 S15-I031 S15-I032 S15-I033

Cross-source synthesis

K002 K003 K004 K006 K007 K008 K010 K012 K014 K015 K016 K017 K018 K019 K023 K025

Source locator

Original filename
Ep. 7 Of Transparent Traders_ He LOST IT ALL Then Made $1.1MILLION.txt
Relative path
Ep. 7 Of Transparent Traders_ He LOST IT ALL Then Made $1.1MILLION.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
de9d884200fd1de0b1e594be70a82ce6852310bf69b627933301886ca69ce742
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S15-C001
  • S15-C002
  • S15-C003
  • S15-C004
  • S15-C005
Second pass
Status
completed
Reviewed chunks
  • S15-C001
  • S15-C002
  • S15-C003
  • S15-C004
  • S15-C005
Findings
  • Second full ordered read C001-C005 complete.
  • Preserved loss chronology: one-day half-account loss followed by later depletion.
  • Captured hard-stop exceptions and adjustments, not absolute claim.
  • Separated host parameter example and unverified allegations from guest strategy.
  • Highlighted candidate scarcity versus total edge disappearance and out-of-sample independence uncertainty.

Open the complete normalized transcript and original line mapping

Ep. 8 Of Transparent Traders: From Farmer to MILLIONAIRE Trader

The Trading Farmer | 2024-08-23 | completed

Long low-float micro-dip hyperscalping; 50/50 label is not a disclosed probability.

The Trading Farmer links his progress to farm-funded runway, a long flat learning period and a bundle of simpler hotkeys, smaller positions and honored max loss. He describes frequent long micro-dip trades in strong low-float names, filtered from daily context through five-minute shapes to readable Level 2.

Immediate exit discipline and commission economics are central, but no hard daily-loss number, fixed entry algorithm or current sizing formula is disclosed. Count-to-three is explicitly a learning exercise, not the exact profitable strategy. Wide-spread limit sells and longer W-pattern holds qualify the apparent market-order/instant-exit rule.

Headline profits and student successes remain source claims. Marketing context, copying warnings, rough cost estimates and missing fill-level evidence prevent treating the method as an automated specification.

Dimensions A-H

A
Farm money, simulator practice and roughly a year without profit precede simplification (I001-I003).
B
Micro rebounds inside broader strength, enabled by low commissions (I006-I008,I020).
C
Daily to five-minute to Level 2 selection; tape dip/turn execution (I012-I017).
D
Actually respect max loss and exit immediate failure; amount absent (I004,I010-I011).
E
Lower goals and size reduce pressure; life stress and support matter (I005,I014,I027-I029).
F
Simulator, small-size repetition and count-to-three exercise (I009,I018,I028).
G
Profit totals are unreconciled source claims and cost estimates rough (I023,I020,I030).
H
Discretionary quote and pattern interpretation plus missing risk settings prevent exact replication (I012-I017,I021-I025).

Unanswered questions

  • What is the max daily loss and how is it enforced?
  • What exactly qualifies a stable spread and eligible float/volume?
  • What are present size, fill statistics and full net results?
  • Which W trades may be held longer and with what stop?

Limitations

  • Automatic captions and adjacent repetition; description chapters are not transcript timestamps.
  • Source-only claims, no broker records inspected.
  • No exact rules for settlement, current regulatory constraints or fees inferred from unlimited/free language.
  • Industry misconduct and legality remarks are guest/host opinions, not verified findings.

Related topics and traders

  • S14 BMAC: frequent long hyperscalping and tiny initial size
  • S12 Dom: delayed-loss danger contrasted with immediate exits
  • S13 Andy: broader long breakout/base selection

All insight records

S16-I001 S16-I002 S16-I003 S16-I004 S16-I005 S16-I006 S16-I007 S16-I008 S16-I009 S16-I010 S16-I011 S16-I012 S16-I013 S16-I014 S16-I015 S16-I016 S16-I017 S16-I018 S16-I019 S16-I020 S16-I021 S16-I022 S16-I023 S16-I024 S16-I025 S16-I026 S16-I027 S16-I028 S16-I029 S16-I030

Cross-source synthesis

K003 K005 K007 K008 K013 K014 K015 K018 K022 K025 K027

Source locator

Original filename
Ep. 8 Of Transparent Traders_ From Farmer to MILLIONAIRE Trader.txt
Relative path
Ep. 8 Of Transparent Traders_ From Farmer to MILLIONAIRE Trader.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
4dfea3a5faf043df3a7f1dd63bd04e51cd21ea8a929486dc4a9700de9d024254
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S16-C001
  • S16-C002
  • S16-C003
  • S16-C004
  • S16-C005
Second pass
Status
completed
Reviewed chunks
  • S16-C001
  • S16-C002
  • S16-C003
  • S16-C004
  • S16-C005
Findings
  • Second ordered full review of all five chunks completed.
  • Kept count-to-three training distinct from profit-producing method.
  • Kept wider-spread limits and longer W holds as material exceptions.
  • Separated host hypothetical win/failure rates, changing profit shorthand and selected student claims.

Open the complete normalized transcript and original line mapping

Ep. 9 Of Transparent Traders: The Future Algorithmic Millionaire

Shahzad (Siylenia) | 2024-08-30 | completed

ES futures trend trader moving from rule-based manual signals to automated execution; separate discretionary aftermarket trading.

Siylenia entered around the pandemic, experienced early equity and options windfalls, and struggled repeatedly with futures before formalizing a trend method. He identifies psychology and adverse chop as contributors to a major reversal, then describes a recovery funded by a fresh transfer and increased leverage. Those account movements must not be summarized as an uninterrupted small-account return.

His technical progression was manual SPX directional options, explicit chart rules in Pine, historical testing, and API execution. The interview discloses a ten-minute EMA direction gate and an intermarket composite but does not provide a complete algorithm. His earlier options sale-against adjustment and present discretionary overnight ATR process are separate methods.

Automation reduces some execution burden but leaves temptation to override, fatigue, and ambition-driven pressure. He uses separate manual and algorithm records, a smaller manual account, and high-level Kinfo reviews. He warns against coding before developing a strategy and against overfitting, while treating AI as a possible coding aid rather than a proven source of edge.

Dimensions A-H

A
Pandemic investing, early windfalls, futures failures, manual coded signals, recovery with new capital, then automated execution (I006-I010).
B
Trend edge claimed in ES, intermarket composite and EMA gate; chop adverse; full rules absent (I004,I016,I017).
C
Ten-minute directional gate; earlier SPX wait then sell-against adjustment; manual aftermarket level/ATR context (I013-I017,I027-I029).
D
Loss control, separate small manual account, consistent manual size; no quantified full-system risk cap (I021,I026-I028).
E
Breakup, fatigue, overconfidence and overrides are admitted; automation did not eliminate pressure (I003,I005,I018-I020).
F
Write rules, test history, retain forward testing, compare logs, selective mentors and tooling help (I011,I012,I022,I024,I030-I033).
G
Headline $834K claim differs from transfer-funded recovery path; approximate and uncertain numbers preserved in insights (I001,I006,I009,I010,I028).
H
Partial systematic candidate only; exact crossover parameters, composite construction, exits, size and operating safeguards missing (playbooks).

Unanswered questions

  • Which crossover lengths does 57 mean?
  • Which chart feeds each EMA condition and how is the cross-asset composite normalized?
  • What exact automated stops, exits, sizes, leverage and circuit breakers apply?
  • What independent out-of-sample and live execution results support the final automated version?
  • Do manual overrides outperform a frozen algorithm baseline?

Limitations

  • Automatic captions obscure names and parameters.
  • Headline verification is a source claim, not independently inspected evidence.
  • Source gives no complete trade ledger or code.
  • Description $311K claim conflicts with the body account-equity framing.
  • Chapter timestamps are description labels, not transcript timestamps.

Related topics and traders

  • S18 former Google AI engineer
  • S34 algorithmic trading simplification

All insight records

S17-I001 S17-I002 S17-I003 S17-I004 S17-I005 S17-I006 S17-I007 S17-I008 S17-I009 S17-I010 S17-I011 S17-I012 S17-I013 S17-I014 S17-I015 S17-I016 S17-I017 S17-I018 S17-I019 S17-I020 S17-I021 S17-I022 S17-I023 S17-I024 S17-I025 S17-I026 S17-I027 S17-I028 S17-I029 S17-I030 S17-I031 S17-I032 S17-I033

Cross-source synthesis

K002 K006 K009 K012 K014 K015 K017 K023

Source locator

Original filename
Ep. 9 Of Transparent Traders_ The Future Algorithmic Millionaire.txt
Relative path
Ep. 9 Of Transparent Traders_ The Future Algorithmic Millionaire.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
5a2c274c0ddf3c2c789fb0f908f6b5d063593458818cf1e987f9ca375d5149bf
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S17-C001
  • S17-C002
  • S17-C003
  • S17-C004
  • S17-C005
Second pass
Status
completed
Reviewed chunks
  • S17-C001
  • S17-C002
  • S17-C003
  • S17-C004
  • S17-C005
Findings
  • Re-read all five chunks in order after first pass.
  • Preserved fresh deposit and withdrawal so comeback is not misrepresented as organic compounding.
  • Kept 57 unresolved and ATR multiples explicitly tentative.
  • Separated promotional claims, guest opinion, historical SPX method, present automated ES and manual aftermarket process.
  • Added AI-long-horizon speculation, mentor profitability uncertainty, separate logs and planned infrastructure migration.

Open the complete normalized transcript and original line mapping

Former Google AI Engineer Made $450K in 18 MONTHS

Jim (Jim37 / zhangji37) | 2025-07-31 | completed

Engineer-developed automated day-one gapper short system with wide stops and after-hours exits.

Jim began dedicated day trading in 2024 after Google engineering and adapted a mentor-derived gapper short method. He codes historical tests and execution, uses ChatGPT for programming rather than strategy invention, and built socket-command infrastructure. A trip across time zones pushed partial automation into full automation, although emotional and early-locate interventions remain possible.

The system filters premarket gappers by undisclosed gap and capitalization thresholds, enters after open and covers after hours. He selected a roughly 100% adverse-price stop with small size using a Kelly-based score. January tight-stop failures led to changes, and two full stops preceded a June surge with unchanged code. These disclosures expose both the claimed edge and the severe loss-tail dependence.

He advocates repeatable patterns, broad historical evaluation and testing inherited filters. His reported historical win rates explicitly exclude slippage and fees, and no complete test or code is supplied. Account cash balances, headline profits and host position-size estimates must remain distinct.

Dimensions A-H

A
2024 start, difficult initial half year, 2025 risk/filter revision, later full automation (I002,I012,I017,I020,I029).
B
Day-one gapper short adapted from Mike; claimed after-hours improvement (I004,I007-I010).
C
Unspecified gap/cap filters and after-open trigger; approximate dime floor (I007-I010,I022).
D
Wide stop, small size, cluster risk; costs omitted from test (I014-I020).
E
Strictness desired but human interventions remain; regime explains surge (I005,I011,I013).
F
Evaluate rather than accumulate indicators; long tests do not eliminate overfit (I021,I023-I028).
G
Performance claimed, two loss cases discussed, cash reset and host estimates separated (I001,I014,I018-I020).
H
Partially specified automated candidate with critical rule and cost gaps (playbook).

Unanswered questions

  • What is the full filter and entry/exit specification?
  • How much do borrow, fees, spread and halt slippage change the reported win rate and expectancy?
  • Which Kelly formula and fraction are used, and what is the actual maximum portfolio loss?
  • What holdout and live verification exist after January modifications?
  • How does the system handle borrow failure, disconnects, stale quotes and stops through halts?

Limitations

  • Automatic captions include API/quote-word ambiguity.
  • No visible charts or raw results provided.
  • Backtest explicitly excludes fees and slippage.
  • A decade of data can still be overfit, explicitly admitted.
  • Headline performance does not independently verify the algorithm.

Related topics and traders

  • S17 Siylenia
  • S34 algorithmic trading
  • Mike Huddie
  • Steven Dux
  • Roland Wolf
  • Tim Sykes

All insight records

S18-I001 S18-I002 S18-I003 S18-I004 S18-I005 S18-I006 S18-I007 S18-I008 S18-I009 S18-I010 S18-I011 S18-I012 S18-I013 S18-I014 S18-I015 S18-I016 S18-I017 S18-I018 S18-I019 S18-I020 S18-I021 S18-I022 S18-I023 S18-I024 S18-I025 S18-I026 S18-I027 S18-I028 S18-I029

Cross-source synthesis

K001 K002 K003 K006 K008 K009 K010 K017 K023

Source locator

Original filename
Former Google AI Engineer Made $450K in 18 MONTHS.txt
Relative path
Former Google AI Engineer Made $450K in 18 MONTHS.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
b55409ea08643f0157324714c48a2381980e479d51769f4ed5ba72b6d4eefa48
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S18-C001
  • S18-C002
  • S18-C003
Second pass
Status
completed
Reviewed chunks
  • S18-C001
  • S18-C002
  • S18-C003
Findings
  • Full second ordered read of C001-C003 completed.
  • Preserved no-fees/no-slippage caveat next to historical win-rate claim.
  • Separated 100% adverse price stop from account risk and host notional estimate.
  • Distinguished 2024 account start from later $100K cash reset.
  • Flagged description no-discretion claim versus actual interventions and break-even versus host no-drawdown inference.

Open the complete normalized transcript and original line mapping

From $500K To Almost BLOWING UP

Arsalan (arslinnn) | 2024-10-08 | completed

Discretionary extension short scalps with developing gap-up short method.

Arsalan moved from an oversized meme-stock loss through observation, simulation and small short scalps to large cumulative profits. Better borrow access and an unusually oscillatory market supported repeated ladder shorts into extensions, covering small flushes before resetting. Early successful averaging also reinforced fragile risk habits.

A TOP position crossed into after hours with too much size; he froze and then exited after broker intervention. He explicitly says this was not an overnight hold. His response includes smaller size, broker max losses, intended intraday-only exposure and research into gap shorts, but current aggregate risk can still be about a hoped-for week of profits.

The transcript supplies a finite ladder/stop example and useful execution observations, not a complete systematic rule set. Approximate totals, conflicting DUO share arithmetic, uncertain tickers and strong host reassurance require caution.

Dimensions A-H

A
Electronics business, meme loss, mentor observation, simulator, premium borrow and rapid growth (I001-I007).
B
Repeated extension/flush behavior in favorable historical regime (I018-I022).
C
Spaced limit ladders, peer rotation, halt guides and first-flush covers (I014,I018-I021,I027-I031).
D
TOP after-hours tail event; finite stops, broker backup and retained-capital lessons (I009-I017,I025).
E
FOMO, confidence, frozen exit, sunk locates and fear-driven early cover (I002,I010,I024,I030).
F
Simulation plus real-fill learning; scanner, journals and newer gap research (I003,I018,I026,I032).
G
Peak/profit and win rates unreconciled; DUO arithmetic uncertain; OC bounded ladder concrete (I008,I023,I028).
H
Two researchable discretionary methods, neither ready for faithful automation; tail loss and compliance integral (I022,I025,I033).

Unanswered questions

  • What are exact loss caps and session coverage?
  • How much tail-risk slippage is in net expectancy?
  • What determines float/liquidity eligibility and ladder spacing?
  • What is the complete post-loss performance period?

Limitations

  • No chart images or broker fill ledger supplied.
  • TOP loss is after close, not held overnight; title peak not exact reconciled equity.
  • Several ticker captions unclear, OC retained literally.
  • Source regulatory and broker comments are historical claims, not verified current terms.

Related topics and traders

  • S15 Stockwonk: averaging and catastrophic short-loss lessons
  • S21 N0pr3s3n7: large stops and win-rate tail risk
  • S36 Pace: liquidity and squeeze-fade discretion

All insight records

S19-I001 S19-I002 S19-I003 S19-I004 S19-I005 S19-I006 S19-I007 S19-I008 S19-I009 S19-I010 S19-I011 S19-I012 S19-I013 S19-I014 S19-I015 S19-I016 S19-I017 S19-I018 S19-I019 S19-I020 S19-I021 S19-I022 S19-I023 S19-I024 S19-I025 S19-I026 S19-I027 S19-I028 S19-I029 S19-I030 S19-I031 S19-I032 S19-I033

Cross-source synthesis

K001 K003 K004 K006 K008 K013 K019 K020 K021 K023

Source locator

Original filename
From $500K To Almost BLOWING UP.txt
Relative path
From $500K To Almost BLOWING UP.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
64cadf8d2c985c9618cef0cdd7ac8c41e40b3bbf6318c7fe98a4236a711dcb0d
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S19-C001
  • S19-C002
  • S19-C003
  • S19-C004
  • S19-C005
Second pass
Status
completed
Reviewed chunks
  • S19-C001
  • S19-C002
  • S19-C003
  • S19-C004
  • S19-C005
Findings
  • All five chunks reread in order separately.
  • Corrected overnight framing using explicit guest correction.
  • Retained inconsistent DUO arithmetic and September/October broker timing.
  • Separated host loss anecdote and confidence claims from guest results.

Open the complete normalized transcript and original line mapping

From Brain Injury to 6-Figure Trader: TBOWS’ Comeback Story

Justin (TBOWS) | 2025-03-26 | completed

Discretionary small-cap short fades split by session, including overnight/weekend exposure.

Justin reports two unsuccessful years followed by short-side consistency, balancing mobile trading with employment and real estate. His initial description of backtesting is later narrowed to retrospective chart review. The method varies by time: early spike scaling, opening retest of known premarket high, smaller daytime scalps and fundamental/borrow-sensitive extended-session swings.

The documented story is not smooth: two DRUG losses reduced displayed cumulative profits from about 140K to39K, followed by months of recovery and another sizable later drawdown. He still uses mental stops, admits uncertainty over when to stop averaging and frames high win rates as enabling large accepted losses.

His brain-injury recovery is a personal motivation account, not evidence that desire guarantees trading success. Contradictory market-cap wording, incomplete performance period and undefined mental-stop triggers materially limit replication.

Dimensions A-H

A
Career disruption, varied jobs and four-year trading development with first two unprofitable (I001,I018-I019).
B
Small-cap spike/fade across regimes, eventual-fade thesis qualified by liquidation risk (I005,I008).
C
Session-specific levels, scaled entries and known-high retests (I004,I021-I028).
D
Repeated major losses, mental stops and unresolved total sizing (I011-I017,I023-I024).
E
Secrecy, recovery, life resilience and complacency (I013-I014,I018-I020).
F
Backtest is chart review, not documented coded validation (I002); continued learning unresolved.
G
Approximate curve/fee examples and source-specific win rates (I010-I017,I030-I032).
H
Five variants with different missing rules, no faithful autonomous specification (I021-I032).

Unanswered questions

  • What exact event activates the mental stop?
  • What maximum total risk and daily loss limits exist?
  • What is intended market-cap upper bound?
  • What moving-average type/period and profit-taking rule?
  • Which performance dates and fees are included?

Limitations

  • Chart narration only, no screen images or fills verified.
  • Description profit, introduction year label and multi-year curve not reconciled.
  • Caption June2016 conflicts with explicit 2024 tracking account.
  • Personal medical history is reported experience only.

Related topics and traders

  • S19 Arsalan: averaging, broker liquidation and recovery
  • S36 Pace: early thin-session spike fading
  • S15 Stockwonk: hard-stop preference conflicts with mental-stop approach

All insight records

S20-I001 S20-I002 S20-I003 S20-I004 S20-I005 S20-I006 S20-I007 S20-I008 S20-I009 S20-I010 S20-I011 S20-I012 S20-I013 S20-I014 S20-I015 S20-I016 S20-I017 S20-I018 S20-I019 S20-I020 S20-I021 S20-I022 S20-I023 S20-I024 S20-I025 S20-I026 S20-I027 S20-I028 S20-I029 S20-I030 S20-I031 S20-I032 S20-I033 S20-I034

Cross-source synthesis

K001 K004 K010 K014 K016 K017 K020 K021

Source locator

Original filename
From Brain Injury to 6-Figure Trader_ TBOWS’ Comeback Story.txt
Relative path
From Brain Injury to 6-Figure Trader_ TBOWS’ Comeback Story.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
09d8f8105700bef97d7fc6626af4e1b161c54ca9f439d7299d0ef57fb0d5f316
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S20-C001
  • S20-C002
  • S20-C003
  • S20-C004
  • S20-C005
Second pass
Status
completed
Reviewed chunks
  • S20-C001
  • S20-C002
  • S20-C003
  • S20-C004
  • S20-C005
Findings
  • Full ordered second read of all five chunks.
  • Preserved chart-review correction to backtesting claim.
  • Split five session variants, including weekend idea, without inventing common stop.
  • Marked under100M conflict and 20-25% as position pieces, not account risk.

Open the complete normalized transcript and original line mapping

From High-Stakes POKER To 6 Figure DAY TRADING

Andrey (N0pr3s3n7) | 2024-10-29 | completed

Poker professional using a rule-based, spreadsheet-tested short-only parabolic small-cap method.

Andrey uses poker income and family responsibilities to frame a cautious approach to trading. He reports substantial earlier drawdowns before the displayed equity curve and moved from paid-room dependence to owning his Python/Polygon/Excel research pipeline. His limited daily screen time relies on substantial prior testing.

He targets parabolic small caps short, avoids reacting to chart traps and most news, and wants to remain in the move until the close using wide stops. The interview gives illustrative adverse-price distances but no full entry or sizing algorithm. Corporate-action news and execution mistakes are important qualifications to the otherwise systematic description.

He explicitly discusses a September drawdown, maximum stops, an interim winner becoming a close loss, and the danger of premature triggers. He reconciles execution with his test database, denies indefinite averaging and recommends preserving capital until a trader understands the edge.

Dimensions A-H

A
Poker background, paid-room struggle and independent research after pre-2023 drawdowns (I001-I008).
B
Short parabolic moves with wide room until close; odds/process orientation (I012-I019).
C
No daily levels/indicators; mostly no news except merger situations; precise triggers withheld (I012-I017).
D
Survival, wide max stops, size unspecified, no endless averaging (I002,I016,I018,I020-I024).
E
Routine, accepting losses and avoiding reactive traps, qualified by actual mistakes (I005,I014,I021,I023,I027).
F
Own data collection, halt mechanics, database fidelity and post-trade audit (I007-I010,I013,I025).
G
Earlier 50-70% approximate drawdown, reported September 10%, positive and negative chart anecdotes (I006,I016,I022-I026).
H
Partially specified systematic candidate; rule-based does not establish automated execution (playbook/I027).

Unanswered questions

  • What exact trigger, stop and entry-allocation formula defines a valid trade?
  • How are halt gaps, borrow failure and corporate actions modeled?
  • What is the largest aggregate account risk across correlated runners?
  • Are close exits automated, broker-held or manual?
  • How are anticipated entries counted against the zero-discretion claim?

Limitations

  • Charts are referred to but not included visually; several tickers unclear.
  • Backtest costs, coverage and out-of-sample protocol not disclosed.
  • Wide stop examples are not a single reusable parameter.
  • Host initial no-drawdown interpretation is explicitly corrected.
  • Systematic does not necessarily mean fully automated.

Related topics and traders

  • S18 wide-stop automated gapper short
  • S17 rule fidelity
  • Poker and risk discipline

All insight records

S21-I001 S21-I002 S21-I003 S21-I004 S21-I005 S21-I006 S21-I007 S21-I008 S21-I009 S21-I010 S21-I011 S21-I012 S21-I013 S21-I014 S21-I015 S21-I016 S21-I017 S21-I018 S21-I019 S21-I020 S21-I021 S21-I022 S21-I023 S21-I024 S21-I025 S21-I026 S21-I027 S21-I028

Cross-source synthesis

K002 K003 K004 K007 K008 K011 K012 K014 K018 K022 K027

Source locator

Original filename
From High-Stakes POKER To 6 Figure DAY TRADING.txt
Relative path
From High-Stakes POKER To 6 Figure DAY TRADING.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
f4d5e1f979c0a0bb296c0eda9ab79f48cf2b4dabb0d4e7063318f0692f22424f
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S21-C001
  • S21-C002
  • S21-C003
  • S21-C004
Second pass
Status
completed
Reviewed chunks
  • S21-C001
  • S21-C002
  • S21-C003
  • S21-C004
Findings
  • Full second ordered review C001-C004 complete.
  • Preserved news merger exception, initial full-size regime remark and denial of endless averaging.
  • Separated prior major drawdown from displayed curve.
  • Captured losing close example and early-entry deviation despite zero-discretion assertion.
  • Did not promote example move percentages into exact filters.

Open the complete normalized transcript and original line mapping

He left SMB Capital. Then Made +280K in 9 months

Yanni | 2025-07-10 | completed

Former SMB trader explains asymmetric sizing around exhaustion gaps, independent-account transition and team-based playbook development.

Yanni attributes progress to SMB exposure and specific playbook work, but describes a personal fit with independent capital after desk costs and a difficult initial market. He retained asymmetric risk allocation rather than discovering a new method on departure.

His exhaustion-gap playbook combines rapid daily ATR extension, a retail theme, strong volume and an intraday backside. It works in his framework across direction and capitalization, with an IPO history exception and possible cleaner day-two entry. The criteria are useful research inputs but missing ATR specification, exact triggers, exits and sizing prevent faithful automation.

He recognizes news luck in a tariff trade and emphasizes peer work. Performance claims have scope differences and incomplete firm history. Host wedding-money speculation and probability illustrations must not become guest rules.

Dimensions A-H

A
SMB internship then full-time then independent; exact fees/capital absent.
B
Daily exhaustion and panic mean reversion across both directions; behavioral rationale.
C
4 ATR/5 days, theme, volume, gap, intraday ORB/fast fade/consolidation below VWAP; precise parameters missing.
D
Small ordinary days, larger rare opportunities within limits; daily stop amount, position formula, borrow and loss cap absent.
E
Small size and specific edge improve psychology; own capital felt more real.
F
Pods, executions, transparent mentors, historical comparisons and weekend R&D.
G
QBT, Circle IPO, GME, UNH and tariff reversal; no complete trade ledger.
H
Researchable discretionary method; ATR formula, precise execution and exposure block faithful automation.

Unanswered questions

  • Which ATR formula and indicator?
  • Exact stop, exit and scaling rules?
  • How are themes and capitulatory volume defined?
  • What limits cap rare-opportunity risk?
  • What complete account and firm history reconciles performance?

Limitations

  • Historical prop-firm allegations/rules need current verification before use.
  • Firm results and complete fills absent.
  • Automatic captions alter SMB and ticker terms; charts not available as images.
  • No transcript timestamps, only chapter metadata.

Related topics and traders

  • Lance / SMB playbooks
  • Exhaustion shorting
  • Panic fading versus macro-event avoidance
  • Opportunity-weighted sizing versus fixed size

All insight records

S22-I001 S22-I002 S22-I003 S22-I004 S22-I005 S22-I006 S22-I007 S22-I008 S22-I009 S22-I010 S22-I011 S22-I012 S22-I013 S22-I014 S22-I015 S22-I016 S22-I017 S22-I018 S22-I019 S22-I020 S22-I021 S22-I022 S22-I023

Cross-source synthesis

K005 K011 K013

Source locator

Original filename
He left SMB Capital. Then Made +280K in 9 months.txt
Relative path
He left SMB Capital. Then Made +280K in 9 months.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
abcee6947fd82c8a15ef3c5b12d263d28ffd470c7a69484fb7c2179e86663df2
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S22-C001
  • S22-C002
  • S22-C003
  • S22-C004
Second pass
Status
completed
Reviewed chunks
  • S22-C001
  • S22-C002
  • S22-C003
  • S22-C004
Findings
  • Reread all four chunks: separated description profit concentration from observed senior-trader statistic.
  • Retained IPO ATR-history exception, day-two cleaner pattern and tariff-news luck.
  • Separated host probabilities, wedding funds and war commentary from guest methods.

Open the complete normalized transcript and original line mapping

He REJECTED Charts And Made 780k Trading Options

Frank | 2025-08-14 | completed

Biotechnology PhD and long-time trader explains catastrophic early leverage, abandoning a profitable but lucky method, and an undisclosed quantitative options model.

Frank connects scientific skepticism with hard-earned risk lessons: a leveraged promotional-stock short lost borrowed capital, family labor repaid it, and broker error later rescued another poor decision. He distinguishes favorable outcome from skill.

He demands precise pattern definitions and statistical support and does not literally discard all charts. A profitable but exhausting early options method was abandoned after review judged it market luck. Periods of inactive displayed history include caregiving and research elsewhere.

The current system buys modeled option value, mostly calls with some puts, adjusting Greek exposures to track markets and occasionally outperform. He acknowledges worse small downturns and imperfect adjustment timing. The mathematical model is undisclosed, so no executable strategy can be reconstructed. Emotional neutrality and independent testing are educational themes, not sufficient risk rules.

Dimensions A-H

A
1997 start, debt-financed blowup, family recovery, lucky broker error, equity career then revised options system.
B
Underlying-specific option valuation and Greek adjustment to track market with occasional excess; model absent.
C
Mostly calls, some puts, varied moneyness; precise entry, exit, adjustment thresholds, orders and costs not stated.
D
Historical concentration/debt failures and large daily loss; present sizing, leverage, caps, hedge and correlation limits not stated.
E
Outcome neutrality, distrust of prediction and willingness to reject profitable luck.
F
Statistics, mathematical definitions, trade review, separate-account tests; methods and sample details absent.
G
Account blowup and debt, broker-error gain, caregiving gap, $82K daily loss; no complete current trade example.
H
Concept only. Model, data, thresholds and portfolio rules prevent replication or faithful automation.

Unanswered questions

  • What equations, data and calibration distinguish underlyings?
  • What precise Greek targets and adjustment triggers?
  • What are sizing, expiries, loss caps and costs?
  • How does benchmark exposure match capital and leverage?
  • What statistical test separated luck from edge?

Limitations

  • Current method intentionally undisclosed.
  • All performance and broker-error events self-reported.
  • Broker names in captions uncertain; historical claims are not current operational guidance.
  • No complete account series or transcript timestamps.

Related topics and traders

  • Ravish Greeks-based approach
  • Evidence versus profitable luck
  • Public playbooks versus proprietary models
  • Marked-to-market versus closed-trade curves

All insight records

S23-I001 S23-I002 S23-I003 S23-I004 S23-I005 S23-I006 S23-I007 S23-I008 S23-I009 S23-I010 S23-I011 S23-I012 S23-I013 S23-I014 S23-I015 S23-I016 S23-I017 S23-I018 S23-I019

Cross-source synthesis

K010 K011 K017 K020

Source locator

Original filename
He REJECTED Charts And Made 780k Trading Options.txt
Relative path
He REJECTED Charts And Made 780k Trading Options.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
06d3fd042d6bb87d7512f602ae58e186defa6a23ad0b01a56bd366bd8c20cadc
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S23-C001
  • S23-C002
  • S23-C003
Second pass
Status
completed
Reviewed chunks
  • S23-C001
  • S23-C002
  • S23-C003
Findings
  • Full three-chunk reread preserved chart-use qualification and puts exception.
  • Separated description annual target and host profit amounts from guest rules.
  • Preserved family-funded recovery, broker-error luck, multiple-account gaps and smaller-drawdown underperformance.

Open the complete normalized transcript and original line mapping

Inside Multi-Millionaire Trader Kyle Williams’ $600K Month

Kyle Williams | 2025-11-03 | completed

October 2025 review contrasts profitable TSLL/IREN swings and BURU shorts with detailed BYND losses, resets and eventual recovery.

Kyle separates day and swing sources of a strong October, crediting trend holding after a major MSTR review. TSLL followed Tesla signals rather than its own chart; IREN combined a momentum scan, hot sector, tight support and a 10 SMA trail. Both narratives retain failed earlier or later attempts.

BURU illustrates stopping an early short, reassessing strength, covering before demanding red/green, then shorting failed support for an overnight gap. His overnight comfort requires realized cushion, open profit and continued fading, but he explicitly accepts news tails and possible FOMO.

BYND is the richer failure audit: ignored profit targets, repeated setup attempts, false backside, overnight avoidance, next-day bias/slippage, small-size reset and confirmation-led adds. Total risk is not erased by labeling multiple setups. Some recovery includes another account, and several figures are approximate. His final lesson is patience at the planned resistance rather than chasing unexpected weakness.

Dimensions A-H

A
Established day trader adding formal swing practice after 2024 MSTR; sizing adaptation.
B
Swing momentum/trend plus small-cap gap/parabolic/backside shorts; sector and dilution context.
C
30% multi-horizon scan, 10 SMA, underlying signal for TSLL; short failed pushes and VWAP/lower-low confirmation. Exact positions, costs and order types absent.
D
Stops, trimming, small resets and conditional overnight holds; explicit gaps/slippage. Portfolio exposure/borrow and universal caps not stated.
E
FOMO, greed, bearish fixation, fatigue, planned-entry patience and reset.
F
Monthly review, winner reverse engineering, loss comparison, scan/average history and peer reviews.
G
TSLL, IREN, BURU and detailed BYND sequence including failed trades and cross-account buys.
H
Researchable discretionary playbooks; precise scale, fill and confirmation rules missing. Swing accessibility claim is opinion, not proof for all users.

Unanswered questions

  • Total account risk and per-ticker daily cap?
  • Borrow availability/cost and recall handling?
  • Exact entry/add/trim quantities?
  • SMA length and close execution mechanics?
  • How does reported 150K reconcile across days and accounts?

Limitations

  • Charts referenced but not independently inspected; approximate recalled prices and sums.
  • Historical product/company/earnings claims need verification before use.
  • No exact full ledger or transaction costs.
  • No transcript timestamps; chapter metadata only.

Related topics and traders

  • Kyle Williams other interviews
  • Lance asymmetric sizing
  • Moving-average swings
  • Overnight risk versus flat-by-close rules
  • Laptop Legend
  • Edu Trades

All insight records

S24-I001 S24-I002 S24-I003 S24-I004 S24-I005 S24-I006 S24-I007 S24-I008 S24-I009 S24-I010 S24-I011 S24-I012 S24-I013 S24-I014 S24-I015 S24-I016 S24-I017 S24-I018 S24-I019 S24-I020 S24-I021 S24-I022 S24-I023 S24-I024 S24-I025 S24-I026 S24-I027 S24-I028 S24-I029 S24-I030 S24-I031 S24-I032 S24-I033 S24-I034

Cross-source synthesis

K004 K005 K011 K012 K013 K016 K019 K020 K021 K022

Source locator

Original filename
Inside Multi-Millionaire Trader Kyle Williams’ $600K Month.txt
Relative path
Inside Multi-Millionaire Trader Kyle Williams’ $600K Month.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
22c0254bb0be7a293c193030fee41198c532f320e839e8450c41cd5f94363524
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S24-C001
  • S24-C002
  • S24-C003
  • S24-C004
  • S24-C005
  • S24-C006
Second pass
Status
completed
Reviewed chunks
  • S24-C001
  • S24-C002
  • S24-C003
  • S24-C004
  • S24-C005
  • S24-C006
Findings
  • Full six-chunk reread retained TSLL versus Tesla exit, later failed retry, ambiguous MSTR duration and cross-account P/L.
  • Preserved both different BYND no-overnight rationales and hope/FOMO qualifications.
  • Separated 5% former position from account risk, contextual 100K cap from universal policy, and multi-setup labels from aggregate risk.

Open the complete normalized transcript and original line mapping

Multi-Millionaire 23-year-old Swing Trader REVEALS His Strategy

Sean Rechtman | 2026-04-23 | completed

Theme-led momentum swings in equities and directional options, with failed-break entries in chop.

Sean describes a technical, top-down process: identify index direction, sector/theme strength and leading stocks, then use bases, volume and precise price levels to enter with bounded planned risk. Volume is his proxy for institutional activity, not proof of counterparty identity.

He adapts entry style to conditions. In strong trends he buys breakouts or continuations; in chop he buys leaders reclaiming a breached low, or shorts weak names rejecting a breached high. A separate 15/30-minute pivot confirms reversal near a moving average.

Trade size can be 10-20% of account while planned stop risk is 1-2%; overnight holding is conditional on profit cushion. Option maturity usually one to two weeks; strike, premium stop translation, exits and portfolio exposure remain unspecified.

Development emphasizes capital preservation, verified mentors, personal fit, nightly preparation and journal-driven avoidance of his own weak lunch period. Performance claims have inconsistent scopes and are not independently validated here.

Dimensions A-H

A
Custodial/paper start, earnings losses, mentor study, repeated failures, 2022 drawdown and later deposits.
B
Momentum plus themes, volume patterns, relative strength and regime-sensitive entries.
C
Prepared list, lower-timeframe triggers, low/high-of-day stops, pivots and conditional swings.
D
Planned 1-2% account risk versus larger position allocation; no full-port options or loser averaging; aggregate/gap risks unspecified.
E
Longevity over daily green, fatigue with repeated mistakes, passion and competitive drive.
F
Eight to ten hours early study, journals, nightly scans, active market experience, personalizing mentors.
G
Tesla, NEM, DELL, USAR, JPM, gold and memory-stock short examples.
H
Entry components testable; judgment, option selection, exit and cushion rules prevent faithful full automation.

Unanswered questions

  • How much career growth is deposits versus realized trading versus long-term appreciation?
  • Which option strikes, deltas, spreads and liquidity thresholds apply?
  • What quantitatively defines regime, relative strength, volume, base and cushion?
  • What are exact profit-taking, trailing and time-stop rules?
  • How are adds, correlated names and overnight gaps bounded?

Limitations

  • Transcript retains repeated phrases; overlapping chunk paragraphs are not separate evidence. Charts and trade statements are not independently inspected.
  • Age/start/duration arithmetic, first-month versus recent-month earnings scopes, and eight versus nine EMA wording unresolved.
  • Host macro claims, analogies and instrument suggestions are separate from guest rules.
  • Stop risk does not cap overnight loss; option strike/expiry details beyond broad maturity, premium sizing, exit execution and aggregate risk absent.
  • Metadata partial/trailing-exit promise lacks corresponding precise spoken rules.

Related topics and traders

  • Sean Rechtman / Sean Trades / SRxTrades are explicit same-source aliases.
  • Compare momentum and conditional overnight rules with Kyle Williams S 24; avoid converting different trader rules into consensus.
  • Contrast long-option entries with Ravish S 30 premium structures; their instrument and risk mechanics differ.

All insight records

S25-I001 S25-I002 S25-I003 S25-I004 S25-I005 S25-I006 S25-I007 S25-I008 S25-I009 S25-I010 S25-I011 S25-I012 S25-I013 S25-I014 S25-I015 S25-I016 S25-I017 S25-I018 S25-I019 S25-I020 S25-I021 S25-I022 S25-I023 S25-I024 S25-I025 S25-I026 S25-I027 S25-I028 S25-I029 S25-I030 S25-I031 S25-I032 S25-I033 S25-I034 S25-I035 S25-I036 S25-I037 S25-I038

Cross-source synthesis

K002 K003 K004 K005 K006 K007 K010 K012 K013 K015 K016 K019 K024

Source locator

Original filename
Multi-Millionaire 23-year-old Swing Trader REVEALS His Strategy.txt
Relative path
Multi-Millionaire 23-year-old Swing Trader REVEALS His Strategy.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
38ae58ca334b094dc755f04eff38bc1187d8ad07211f161ed3087426cf6234c6
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S25-C001
  • S25-C002
  • S25-C003
  • S25-C004
  • S25-C005
  • S25-C006
  • S25-C007
  • S25-C008
Second pass
Status
completed
Reviewed chunks
  • S25-C001
  • S25-C002
  • S25-C003
  • S25-C004
  • S25-C005
  • S25-C006
  • S25-C007
  • S25-C008
Findings
  • Rechecked full chunks; one truncated four-chunk output was repaired by complete C 006 reread.
  • Added metadata/body exit gap, host macro attribution, bullish U&R exception, option mispricing limitation, EMA 8/9 ambiguity and deposit distinction.

Open the complete normalized transcript and original line mapping

My $9M Edge Short Selling: Themes & Schemes

Adam Gefvert | 2025-08-28 | completed

Discretionary small/microcap shorting combining PR, ownership/dilution research and technical timing.

Adam scans top gainers and asks why a stock is rising, whether the catalyst has substance, who can sell new shares, and whether buying pressure is a sector theme or a suspected coordinated squeeze. He wants to avoid the last two categories, but detection remains judgmental and allegations uncorroborated.

RSLS demonstrates reacting to an 8-K after already shorting; STI demonstrates reading nonbinding PRs and addressable-market language, examining weak financials and debt conversion, then holding through a large adverse excursion. The latter qualifies the claim that he simply cuts losses quickly.

After multimillion-dollar losses involving his own and friends money, he reduced capital at risk and adopted a $200,000 limit. Yet he says he might cover only part at that limit, so the control is neither an unambiguous hard stop nor a guaranteed bound.

Hotkeys, broker routes, time-distributed execution and limit-order costs are operational components. Meditation, verified mentors and several profitable months before size increases are development advice; none establishes the full method as mechanically replicable.

Dimensions A-H

A
Poker and CFA background, research business, mentor, repeated boom/bust evolution.
B
Weak-news fades after excluding hot themes and suspected ownership-driven squeezes.
C
Top-gainer review, filings, PR and ownership tools, technical timing, hotkeys/routes.
D
TOP/BMR disasters, smaller accounts, diversification, disputed completeness of $200k stop.
E
Invincibility after winning streaks, stubborn conviction, emotional check via meditation.
F
Mentor learning, five-year learning period, verified active role models, small early size.
G
TOP, BMR, RSLS, STI, CYN/ASST and brief MXT example.
H
Researchable discretion; incomplete signal, sizing, borrow, stop and exit rules.

Unanswered questions

  • Is $200k a per-idea aggregate limit, daily limit or account limit, and must the full position exit?
  • How are borrow fees, recalls, overnight gaps and simultaneous accounts managed?
  • What evidence reliably distinguishes theme, ordinary promotion and coordinated ownership risk?
  • What exact timing, add sizes and cover rules are used?

Limitations

  • No underlying filings or performance accounts verified. Corporate-misconduct allegations remain guest theories and hearsay.
  • Residual caption repetition and garbled route/ticker/price strings limit precision; no hidden chart reconstruction.
  • Spoken $200m slip is immediately corrected to $200k; max-loss partial-cover language remains material.
  • Performance and starting-capital scopes conflict; displayed brokerage omission is mentioned at P 86.
  • No tested safe-holder list or full algorithmic Aikido specification.

Related topics and traders

  • Adam Gefvert aliases explicitly include shiningboy, White Diamond Research and host Aikido Trading Enigma.
  • Compare to S 25: Sean treats volume as institutional proxy without deep filings; Adam uses filing/holder research but still requires timing.
  • S 24 no-overnight small-cap posture contrasts with Adam multi-day short thesis; retain strategy-specific boundary.

All insight records

S26-I001 S26-I002 S26-I003 S26-I004 S26-I005 S26-I006 S26-I007 S26-I008 S26-I009 S26-I010 S26-I011 S26-I012 S26-I013 S26-I014 S26-I015 S26-I016 S26-I017 S26-I018 S26-I019 S26-I020 S26-I021 S26-I022 S26-I023 S26-I024 S26-I025 S26-I026 S26-I027 S26-I028 S26-I029 S26-I030

Cross-source synthesis

K002 K004 K006 K008 K011 K018 K020 K021 K024

Source locator

Original filename
My $9M Edge Short Selling_ Themes & Schemes.txt
Relative path
My $9M Edge Short Selling_ Themes & Schemes.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
648fefae891fda6470022e59c5aab3c55876c0b3afebc58a8fd6b590616fd9e4
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S26-C001
  • S26-C002
  • S26-C003
  • S26-C004
  • S26-C005
  • S26-C006
Second pass
Status
completed
Reviewed chunks
  • S26-C001
  • S26-C002
  • S26-C003
  • S26-C004
  • S26-C005
  • S26-C006
Findings
  • All six chunks reread fully. Added hard-stop partial-cover contradiction, RSLS already-open position/luck, caption price ambiguity, ownership allegations and display-account omission.

Open the complete normalized transcript and original line mapping

Next Verified Millionaire: How This Trader Turned $1K Into $800K Using VWAP

Xavier Comas (Xavi) | 2026-04-09 | completed

Small-cap discretionary long/short recycling around VWAP, volume, trapped participants and changing trend.

Xavi uses VWAP as a directional reference with volume, catalyst quality, overhead supply and market context. He buys dips in strength, shorts bounces after weakness and changes his thesis when the evidence changes. A bias change is not an immediate market-order flip.

Recycling shares on sufficiently large bounces can produce a profitable campaign despite a wrong overall directional thesis. This explains why trade win rate is not thesis accuracy, and why collapsing bounce amplitude can break the method.

His early prop environment profited from abundant oscillations while ignoring fundamentals; less volume turned averaging into martingale-like exposure. Later losses from raised max limits and ignored stops taught him to keep hard invalidation and warning levels.

The transcript expressly says tacit memory, speed and practice are missing from the simple playbook. Several chart labels and tickers are ambiguous; exact fills, current loss limit and sizing cannot be reconstructed.

Dimensions A-H

A
CFD/large-cap failures, Barcelona desk, COVID liquidity, later Edu mentorship.
B
VWAP/volume plus trapped-participant direction and bounce recycling.
C
Dip/bounce entries, early warning, level stops, flexible bias and hotkeys.
D
Raised max loss, ADTX ignored stop, halt risk, smaller probe exposure.
E
Repeated frustration builds calm; trade position not money; avoid outcome-rewarded bad habits.
F
Education supplied discipline, community feedback, tacit chart experience.
G
Unidentified first-red-day chart, AMBN, ADTX, Trump-linked loss, crowded/low-volume examples.
H
Mechanics partially researchable; thresholds, discretionary recognition and execution missing.

Unanswered questions

  • What is current max loss and portfolio aggregate exposure?
  • How is session VWAP defined and which bounce/volume thresholds matter?
  • How are campaign wins aggregated relative to individual executions?
  • How often does a no-bounce move overwhelm recycling profits?

Limitations

  • First English interview and residual repetitions cause ticker/name/price uncertainty; do not infer unseen arrows or exact chart stops.
  • Early prop records unavailable; verified $558k versus total near $800k and 700euros versus $1k differ in scope.
  • Host 95%-losing and guest 80%-red market claims have no sample here.
  • Tacit execution explicitly missing; no current account-risk percentage or full automated strategy.

Related topics and traders

  • Xavier Comas / Xavi / xavier_comas explicit alias; Chavi/Chavier are caption variants. Edu Trades is mentor, not same trader.
  • Strong contrast with S 26 Adam: Xavi says dilution is not his expertise and prefers prior-holder price zones; Adam relies heavily on filings/holders.
  • S 26 max-loss partial-cover discretion contrasts with Xavi hard-stop teaching, while Xavi admits historical manager-approved overrides.

All insight records

S27-I001 S27-I002 S27-I003 S27-I004 S27-I005 S27-I006 S27-I007 S27-I008 S27-I009 S27-I010 S27-I011 S27-I012 S27-I013 S27-I014 S27-I015 S27-I016 S27-I017 S27-I018 S27-I019 S27-I020 S27-I021 S27-I022 S27-I023 S27-I024 S27-I025 S27-I026 S27-I027 S27-I028 S27-I029 S27-I030 S27-I031

Cross-source synthesis

K001 K004 K005 K006 K011 K017 K018 K019 K021

Source locator

Original filename
Next Verified Millionaire_ How This Trader Turned $1K Into $800K Using VWAP.txt
Relative path
Next Verified Millionaire_ How This Trader Turned $1K Into $800K Using VWAP.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
5516cc8d4e1c2ea6dcec14fe0af63733655a956f34adc939775a224f4d59e070
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S27-C001
  • S27-C002
  • S27-C003
  • S27-C004
  • S27-C005
Second pass
Status
completed
Reviewed chunks
  • S27-C001
  • S27-C002
  • S27-C003
  • S27-C004
  • S27-C005
Findings
  • All five chunks reread fully. Preserved tentative 5min warning, delayed bounce entry after bias flip,10%-of-max-loss denominator, verified-scope gap, half-position reduction and timeframe exception.

Open the complete normalized transcript and original line mapping

Selling Options For Weekly Income While Working Full-Time (The Strategy)

Bobdog | 2026-06-20 | completed

Short-dated cash-secured puts and covered calls, with discretionary momentum, fundamentals and selective accumulation.

Bobdog aims for 1% weekly premium income, selling mostly current/next-week options on companies he is comfortable owning. His wheel-like process accepts put assignment and call-away, but emphasizes premium collection rather than preserving all stock upside.

The core entry description uses proprietary blue bullish stars and purple bearish stars, with more signals allowing more exposure. Weekly Sunday chart review is primary; daily and monthly charts appear in particular examples. Code and signal construction are withheld, so a faithful indicator strategy is not replicable.

Growth, profitability, cash, community sentiment and favored sectors inform selection. He usually adds with bullish momentum but explicitly accumulates some weak-trend names on long-term conviction, creating an important exception to his falling-knife warning.

High win rate and premium receipts do not measure net return after stock drawdowns. Portfolio limits, strike selection, hedging, loss exits and rolling are not specified; the casino framing, institutional-flow identity claims and some third-party performance statements are not established evidence.

Dimensions A-H

A
Learning losses, full-time job, drawdown-driven indicator development.
B
Premium optimization with trend/fundamental selection and occasional contrarian accumulation.
C
Sunday review, first signal entry, incremental puts Monday/Tuesday-Friday, later covered calls.
D
Assignment exposure, gap risk, concentrated themes and unspecified loss controls.
E
Accept called-away gains, avoid regret; conviction under fear versus invalidation tension.
F
Focused recurring universe, company familiarity, communities and paid tools.
G
Bitcoin proxies, HIMS, MARA, ASTS, IGV, Adobe avoidance, Cipher, RDW, HOOD, OPEN.
H
Contract mechanics observable; proprietary indicators and discretionary exceptions block complete replication.

Unanswered questions

  • What exact indicator data and formulas, and can historical signals repaint?
  • What strike/delta, earnings, liquidity and cash-reserve rules apply?
  • What are worst net weekly loss, drawdown and stock-versus-option P&L?
  • How are assignment, correlated exposure and weak-trend exceptions capped?

Limitations

  • No proprietary indicator formulas or original chart access; institutional labels unverified.
  • Performance scope/account-versus-profit ambiguous; 1% target and premium receipts are not net weekly expectancy.
  • No loss/portfolio/rolling policy; repeated correlated themes and assignments matter.
  • Company valuations, fund performance, political/regulatory explanations and media statistics are transcript claims only.
  • Weekly, daily, monthly 200-period references differ by example; residual repeated text not extra evidence.

Related topics and traders

  • Bobdog / Bob Dog / Bobdog1922 / Theta Daddies are same-source aliases; not Ravish of S 30.
  • S 30 and S 28 both sell options but S 28 is materially directional and ownership-based; do not label it delta-neutral.
  • Contrast S 25/S 27 stop-based invalidation with S 28 long-term averaging exceptions.

All insight records

S28-I001 S28-I002 S28-I003 S28-I004 S28-I005 S28-I006 S28-I007 S28-I008 S28-I009 S28-I010 S28-I011 S28-I012 S28-I013 S28-I014 S28-I015 S28-I016 S28-I017 S28-I018 S28-I019 S28-I020 S28-I021 S28-I022 S28-I023 S28-I024 S28-I025 S28-I026 S28-I027 S28-I028 S28-I029 S28-I030 S28-I031 S28-I032 S28-I033 S28-I034 S28-I035

Cross-source synthesis

K001 K004 K006 K016 K017 K024

Source locator

Original filename
Selling Options For Weekly Income While Working Full-Time (The Strategy).txt
Relative path
Selling Options For Weekly Income While Working Full-Time (The Strategy).txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
93e343759dd714e8fc96229df7b17738cbd3f2b25bc962e2e7de0705558a61ae
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S28-C001
  • S28-C002
  • S28-C003
  • S28-C004
  • S28-C005
Second pass
Status
completed
Reviewed chunks
  • S28-C001
  • S28-C002
  • S28-C003
  • S28-C004
  • S28-C005
Findings
  • All five chunks reread fully. Added 20%-of-allocation distinction,200-day/week/month separation, Adobe false signals, covered-call timing, weak-trend exceptions and proprietary-code blocker.

Open the complete normalized transcript and original line mapping

The 3 Indicators This 21-Year-Old Uses to Short Overextended Stocks

Binh (caption: Ben) | 2026-03-05 | completed

Overextension reversals using underlying technicals, futures and purchased puts.

Binh seeks unusually extended daily charts using distance from Bollinger Bands/moving averages, ATR and rising volume. Numeric thresholds remain X, so identifying a stretched chart is a candidate filter rather than a complete trading signal.

He waits for a turn, tape/volume changes and a nearby risk level. Gold combines failed Asian-session strength, London rollover and a failed opening push; exits were mostly near Asian lows with a smaller remainder. Silver uses first backside day and next-day continuation.

Purchased options preserve buying power for multiple attempts and may benefit from a fast adverse underlying move. He discusses same-day expiry, strike/delta differences and volatility expansion, but Greek terminology is imprecise and no complete option-pricing attribution is supplied.

Learning combines mentorship, curiosity, AI debate and actual market tests. He explicitly resists host claims that AI supplies all answers, a simple indicator identifies the top, or his emotional control is complete.

Dimensions A-H

A
Quant-desk shadowing, low-capital prop route, move from futures to equity opportunity breadth.
B
Extreme daily extension plus technical reversal; theme upgrades attention and risk appetite.
C
Session analysis, failed open push/trend break, split attempts, option selection and staged exits.
D
Front-side repeated stops, defined levels, total-premium risk versus delta risk, liquidity scaling.
E
Avoid becoming afraid after early losses, acknowledge remaining emotion, self-competition.
F
Historical analogs for context, mentors, AI discourse, forward tests and trial/error.
G
October 17 gold, January silver, prop evaluation path and equity/options profit-scope distinctions.
H
Thresholds and gamma method withheld; limited rare-event sample and option execution data needed.

Unanswered questions

  • What exact extension/volume cutoffs and average definitions apply?
  • How are futures and options exposure combined under one risk budget?
  • What are precise stops, trailing exits and attempt reset rules?
  • Which quotes and contract Greeks support the claimed volatility benefit?
  • How many historical analogs and failed setups were studied?

Limitations

  • Thresholds deliberately X; gamma implementation withheld; charts unavailable and ETF charts omit sessions.
  • Six/seven-month equity/options profits exclude futures; host half-million gold rounding does not equal cited $300k+$118k.
  • Prop prices and rules are historical recollections, not current verification.
  • Vega/IV wording imprecise; few analogs and no full out-of-sample record.
  • Host macro claims and historical-rarity counts uncorroborated; residual captions contain ticker/name errors.

Related topics and traders

  • Binh in source metadata; Ben is spoken/caption variant, not a confirmed alternate legal identity.
  • Compare S 22 Yanni explicit 4ATR/5day filter with Binh unspecified X thresholds.
  • Binh long puts are different from Bobdog S 28 premium selling and Ravish S 30 structures.
  • Binh AI-forward-test qualification is strong counterweight to host AI-learning enthusiasm.

All insight records

S29-I001 S29-I002 S29-I003 S29-I004 S29-I005 S29-I006 S29-I007 S29-I008 S29-I009 S29-I010 S29-I011 S29-I012 S29-I013 S29-I014 S29-I015 S29-I016 S29-I017 S29-I018 S29-I019 S29-I020 S29-I021 S29-I022 S29-I023 S29-I024 S29-I025 S29-I026 S29-I027 S29-I028 S29-I029 S29-I030 S29-I031 S29-I032 S29-I033

Cross-source synthesis

K002 K003 K005 K008 K009 K010 K012 K013 K015 K017 K020 K022 K023

Source locator

Original filename
The 3 Indicators This 21-Year-Old Uses to Short Overextended Stocks.txt
Relative path
The 3 Indicators This 21-Year-Old Uses to Short Overextended Stocks.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
5ce73bbe3df3d861be0d0e39a34bd5a351456ebc41da600a317cd59a6e28653a
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S29-C001
  • S29-C002
  • S29-C003
  • S29-C004
  • S29-C005
Second pass
Status
completed
Reviewed chunks
  • S29-C001
  • S29-C002
  • S29-C003
  • S29-C004
  • S29-C005
Findings
  • All five chunks reread fully. Added historical prop scope, October/January separation, Greek wording limits, host speculation rejection, split idea-risk denominator and AI trial/error correction.

Open the complete normalized transcript and original line mapping

The Delta-Neutral Setup: How To Profit In Any Market Direction

Ravish | 2026-06-06 | completed

Former technology worker explains range-selling, earnings iron flies, and calendars with modeled examples and self-reported results.

Ravish contrasts Greeks-based structures with earlier option buying, tracing beginner luck, COVID losses and a bull-market leverage mistake exposed in 2022. He attributes current edge to risk premium and differential decay. Return and drawdown claims remain attributed, not independently verified.

Range selling preferably uses protective wings. Overnight risk explains paying away some credit. Selection remains discretionary: predictable ranges and macro-event avoidance, alongside a distinct selected-earnings iron fly. Nvidia examples contain concrete timing but lack expiry and include wing-type and timing inconsistencies. Four winning events and maximum-payoff analogies do not establish durable expectancy.

Calendars use an earlier short and later long at the same strike, varied for direction. He usually exits both before short expiry and accepts partial profits. Changing examples show modeled payoff and Greeks, not a complete trading system. Stops, sizing, volatility assumptions and exposure limits are not supplied.

The most reproducible learning routine is modeling, paper trading and months of small experience before scaling. AI accelerates hypotheses but code, quotes and fill assumptions are absent. TECL and QQQ LEAP ideas are distinct directional bets.

Dimensions A-H

A
Technology background; beginner luck, losses, COVID, 2021 success and 2022 reversal before neutral focus.
B
Risk-premium selling and calendar decay; selected earnings flies. Separate directional TECL/LEAP concepts.
C
OptionStrat models, delta/range selection, before-close earnings entries and early-open exits, flexible calendar profits. Orders, costs, scanners, exact expiry rules and adjustments not stated.
D
Defined wings, risk allocation, macro inactivity, liquidity limits and small initial trades. Portfolio risk, loss caps, correlation, assignment and margin rules not stated.
E
Beginner luck, bull-market genius, preservation and oversizing-driven strategy hopping; host optimism is distinct.
F
AI tests, recent emphasis, modeled paper trades and one-contract practice; holdouts, fills and degradation thresholds not stated.
G
Meta strangle/condor, Nvidia earnings fly, QQQ/Google calendars, put/neutral variants, TECL/LEAP anecdotes; contradictions preserved.
H
Researchable structures and partially specified timing candidates; no faithful full automation without missing filters, expiry, sizing, stops and execution rules.

Unanswered questions

  • Exact contracts, expiry, timestamps and executable quotes?
  • Deposit-adjusted marked-to-market account history?
  • Predetermined range forecasts, macro exclusions and universe?
  • Risk per trade, correlation and aggregate exposure?
  • Losing-fly exits and range-trade adjustment rules?
  • Calendar sensitivity to volatility, assignment and execution?
  • How much selection used the same four earnings events?

Limitations

  • Performance remains reported, not independently verified.
  • Automatic captions contain residual repetition and internal numerical/type conflicts.
  • Spoken text maps to original line 54; chapter timestamps are not transcript timestamps.
  • Modeled probabilities and payoff maxima do not prove expectancy.
  • No live strategy or bot is fully specified.

Related topics and traders

  • Options selling versus directional option buying
  • Earnings avoidance versus earnings premium selling
  • Recent testing versus long-history robustness

All insight records

S30-I001 S30-I002 S30-I003 S30-I004 S30-I005 S30-I006 S30-I007 S30-I008 S30-I009 S30-I010 S30-I011 S30-I012 S30-I013 S30-I014 S30-I015 S30-I016 S30-I017 S30-I018 S30-I019 S30-I020 S30-I021 S30-I022 S30-I023 S30-I024 S30-I025 S30-I026 S30-I027 S30-I028 S30-I029 S30-I030 S30-I031 S30-I032 S30-I033 S30-I034 S30-I035 S30-I036

Cross-source synthesis

K001 K002 K004 K008 K010 K016 K017 K019 K022 K025

Source locator

Original filename
The Delta-Neutral Setup_ How To Profit In Any Market Direction.txt
Relative path
The Delta-Neutral Setup_ How To Profit In Any Market Direction.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
04a9b6a3d694192159bd3972ed22aabf38c97df87d5ad3e54a7a396edd68c158
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S30-C001
  • S30-C002
  • S30-C003
  • S30-C004
  • S30-C005
  • S30-C006
  • S30-C007
  • S30-C008
Second pass
Status
completed
Reviewed chunks
  • S30-C001
  • S30-C002
  • S30-C003
  • S30-C004
  • S30-C005
  • S30-C006
  • S30-C007
  • S30-C008
Findings
  • Full ordered reread preserved beginner luck, COVID and 2022 reversals, and host averaging-down attribution.
  • Flagged 505/550 put, 605/708 spot, 245 put/call, open/close timing, 3/6 month horizon and impossible more than 100 percent win rate.
  • Distinguished modeled maximum from realized return and four-event sample from reliable expectancy.
  • Earnings exception to macro avoidance, LEAP contradiction to never buying calls, and liquidity ceiling retained.

Open the complete normalized transcript and original line mapping

The Trader Who Became a Multi-Millionaire Losing Most of His Trades

Stan (Stan100X) | 2026-05-21 | completed

Concentrated business research and long-horizon stock/LEAPS investing. Exceptional Rocket Lab winner followed deep losses and depended on option timing; interview includes acknowledged luck, family savings risk and unverified corporate/macro assertions.

Stan reports a concentrated Rocket Lab investment transformed a small surviving balance after earlier losses into substantial wealth. The promotional fourteen-thousand starting point is the account trough; his own and family contributions were much larger. A low reported win rate reflects payoff concentration rather than proof that losing often is desirable.

The investment method centers on management credibility, recurring earnings-call review, operational delivery and an industry growth thesis. His Aston Martin exit provides a counterexample where promised progress failed. Social proof and fear of missing Tesla helped trigger his initial Rocket Lab purchase before detailed research, so the process was not purely detached valuation.

He then changed the risk radically by selling stock for LEAPS after frustration with the range and a large contract followed by falling shares. The successful timing was partly luck by his own admission. He endured a severe option drawdown, made an earlier partial sale, and finally exited at an account wealth milestone rather than a supplied valuation target.

Macro, Rocket Lab and Reddit assertions remain attributed interview opinions. The host enthusiastically describes options and guaranteed rebounds; Stan explicitly counters that calls can expire worthless. The transcript supports a researchable discretionary investment concept, not a validated concentrated-options system.

Dimensions A-H

A
Economics study, COVID entry, family capital, boom/loss/revenge cycle, concentrated recovery.
B
Deep business/industry knowledge, operational progress and eventual narrative recognition.
C
Headlines and social proof discovery, earnings calls and management review; precise valuation/entry rules absent.
D
Near-total early loss and leveraged concentration; no position cap or stop framework stated, final wealth milestone exit.
E
FOMO, revenge, admiration, patience, frustration-driven leverage and acknowledged luck.
F
Quarterly promise-versus-delivery review, academic macro knowledge corrected by lived loss.
G
Aston Martin, Rocket Lab warrants/shares/calls and multiple failed business bets; host option examples kept separate.
H
Highly concentrated discretionary process with missing valuation, timing, option expiry and sizing controls.

Unanswered questions

  • What were exact warrant redemption terms?
  • Which option expiry and rolls produced the final payoff?
  • What contributions or withdrawals occurred after the trough?
  • What measurable facts invalidate the concentrated thesis?
  • How would this approach survive a catalyst delayed beyond expiry?

Limitations

  • No external corporate or macro verification performed; claims preserved as interview evidence.
  • Dollar headline versus euro capital history must not be merged.
  • Warrant mechanics are recollected and may be inaccurate.
  • Option expiry, rolls, fills and cash flows missing.
  • Survivor story dominated by one stock; public profit does not establish replicability.

Related topics and traders

  • S11 Kyle: aggregate performance hides severe path risk.
  • S06 Rob Booker and S03 Marcelo: long conviction and open drawdowns versus complete risk limits.
  • S09 Humbled Trader: slower horizon fits lifestyle but does not remove risk.

All insight records

S31-I001 S31-I002 S31-I003 S31-I004 S31-I005 S31-I006 S31-I007 S31-I008 S31-I009 S31-I010 S31-I011 S31-I012 S31-I013 S31-I014 S31-I015 S31-I016 S31-I017 S31-I018 S31-I019 S31-I020 S31-I021 S31-I022 S31-I023 S31-I024 S31-I025 S31-I026 S31-I027 S31-I028

Cross-source synthesis

K001 K002 K011 K016 K018 K019 K021 K022 K026 K027

Source locator

Original filename
The Trader Who Became a Multi-Millionaire Losing Most of His Trades.txt
Relative path
The Trader Who Became a Multi-Millionaire Losing Most of His Trades.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
abd9a14ddb8a914bbb6bcd9e34c109361a6f71068d44dc43eda28afa70e85a81
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S31-C001
  • S31-C002
  • S31-C003
  • S31-C004
  • S31-C005
  • S31-C006
Second pass
Status
completed
Reviewed chunks
  • S31-C001
  • S31-C002
  • S31-C003
  • S31-C004
  • S31-C005
  • S31-C006
Findings
  • Second full ordered review of all six displayed chunks in context, including preview duplication and host/guest switches.
  • Preserved initial-capital versus trough distinction, partial sale despite hold rhetoric, option timing luck and continuing revenge behavior.
  • Numeric excerpts exact-matched; corporate and macro opinions not upgraded into facts.

Open the complete normalized transcript and original line mapping

This After Hours Set Up Made Him 100K In 3 MONTHS

Lucas Marin | 2025-12-17 | completed

Part-time after-hours short seller, previously institutional execution trader in Brazil. Later breakthrough couples structural stop placement, faster exits/reentries and stable outside income. Lucas is not Don Juan.

Lucas Marin trades after-hours short setups alongside a job. He previously executed institutional client orders and then spent years learning personal trading, including lucky early longs, OTC trading and costly squeezes. Repeatedly escaping losses reinforced poor risk, culminating in an LPA short across two accounts that he says could have ended his career.

The later change was not simply finding a pattern. Outside income made stopping psychologically tolerable, session records identified where he performed better, and structural invalidation made sizing more deliberate. The same price after a reversal can be a better short than on its initial ascent because a prior peak and trapped-buyer area provide a risk reference.

Examples distinguish first versus second lower highs, failure candles, daily resistance and news/float context. He exits fast and can reenter, sometimes scales using earlier gains, and rejects a setup with excessive stop distance even if the trapped-buyer narrative is convincing. Price-distance percentages must not be confused with account risk percentages.

The interview also markets the platform he helps develop. Forced-liquidation explanations, buyback timing and broker claims are not verified facts. The method remains discretionary, with no complete account-level risk limits or precisely reconstructible chart trades supplied.

Dimensions A-H

A
Institutional execution background, personal setbacks, travel/full-time phase, return to job and after-hours specialty.
B
Backside weakness, trapped longs and hypothesized forced-cover spike reversals.
C
Failure candle, lower highs, daily resistance, news/float and range assessment; hotkey covers and reentry.
D
Clear price stop, acceptable price-distance risk/reward, quick exits; account cap and broker kill switch not stated.
E
Bills pressure, identity, learning from lucky escapes, acceptance via steady income.
F
Session P&L, peer material, opposite-side trader analysis and sustained screen time.
G
PETZ luck, LPA near ruin, chart-dependent WBUY/KALA/SMX examples; exact fills absent.
H
Observable screening features possible but discretion, borrow, thin liquidity and incomplete chart rules block faithful automation.

Unanswered questions

  • What maximum account percentage and daily risk apply?
  • How are lower highs and failure candles defined in real time?
  • What minimum after-hours liquidity and borrow quality qualify?
  • When is size added versus a fresh reentry?
  • How are profit targets and forced-cover explanations validated?

Limitations

  • Lucas Marin is distinct from Don Juan despite shared after-hours topic.
  • Chart images are not present; deictic entry references cannot yield exact prices.
  • Institutional and buyback claims unverified.
  • Platform affiliation creates commercial incentives.
  • Caption dates and LPA entry price conflict.
  • High win rate/recent P&L does not establish net expected value over future regimes.

Related topics and traders

  • S05 Don Juan: different person and after-hours long strategy, useful contrast.
  • S03 MightyStocks and S08 Tim: opposite-side long decision process.
  • S02 Alex Temiz: stated influence on short execution.
  • S11 Kyle: structural defense and hidden aggregate risk.

All insight records

S32-I001 S32-I002 S32-I003 S32-I004 S32-I005 S32-I006 S32-I007 S32-I008 S32-I009 S32-I010 S32-I011 S32-I012 S32-I013 S32-I014 S32-I015 S32-I016 S32-I017 S32-I018 S32-I019 S32-I020 S32-I021 S32-I022 S32-I023 S32-I024 S32-I025 S32-I026 S32-I027

Cross-source synthesis

K001 K003 K004 K005 K007 K012 K013 K014 K018 K023 K024

Source locator

Original filename
This After Hours Set Up Made Him 100K In 3 MONTHS.txt
Relative path
This After Hours Set Up Made Him 100K In 3 MONTHS.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
c0886c7571a61413260221896eb27b6035ea70260c513b346436e7cc8ffde40c
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S32-C001
  • S32-C002
  • S32-C003
  • S32-C004
  • S32-C005
  • S32-C006
Second pass
Status
completed
Reviewed chunks
  • S32-C001
  • S32-C002
  • S32-C003
  • S32-C004
  • S32-C005
  • S32-C006
Findings
  • Second full ordered review of all six chunks in context.
  • Preserved Lucas identity, host anecdotes, platform conflict, unsupported buyback assertion and causal liquidation uncertainty.
  • Kept stop percentages as price risk, not account risk; SMX bad-risk example and initial lucky PETZ entry retained.
  • All numeric excerpts exact-matched.

Open the complete normalized transcript and original line mapping

This is Why He Never Trades Through EARNINGS....en

Zoo (captioned name, uncertain spelling) | Publication date not supplied | completed

Options and equity trader focused on pre-earnings momentum, with portfolio drawdown stops and instrument selection by timing certainty. VTT supplies real cue timestamps; several options explanations are oversimplified and remain qualified.

The guest, captioned Zoo, describes a long apprenticeship before substantial options and equity profits. Crypto volatility affected his emotional tolerance, but he also credits journaling, better regime selection and a portfolio-level drawdown stop. That stop has a stated range rather than a single fully specified automated threshold, and an oversized MSTX trade shows actual behavior can still depart from the ideal.

His main described swing approach buys bullish exposure ahead of earnings in stocks displaying anticipatory momentum. For long calls he chooses expiry after the event yet sells before the report, seeking price drift and possible IV support without the release gap. He stopped using Microsoft when its behavior weakened and discusses Palantir and HOOD as later examples.

A squeeze indicator provides complementary compression timing but no direction by itself. Instrument choice matters: shares or short puts suit uncertain reversal timing better in his account, while long calls follow developing momentum. Short premium supplied a material part of reported annual profits. Newer day trading improved after he replaced zero-DTE trades with a few days to expiry, but rules and statistics are incomplete.

Several teaching explanations are oversimplified: IV does not necessarily fully cancel decay, options do not move one-for-one with stock, and universal profit probabilities are unsupported. These are preserved as source claims with explicit limitations rather than converted into textbook facts or a ready-to-trade system.

Dimensions A-H

A
Long inconsistent career, finance/entrepreneurship/crypto period, later larger equity/options profits.
B
Stock-specific pre-earnings momentum, premium selling and occasional compression releases.
C
Calendar context, local-high momentum, expiry after earnings and exit before; precise entry/strike sizing absent.
D
Portfolio drawdown liquidation/pause, savings buffer, capital needs for short puts; trade-level stop/size mostly absent.
E
Fear reduction, scaling discomfort, self-accountability, accepting missed gaps.
F
Journal by expiry and regime, review curve/drawdowns, learn from options educators.
G
SMCI surprise, MSTX oversized loss, Microsoft decline in setup usefulness, PLTR/HOOD examples.
H
Calendar component measurable, but selection, strike, entry/exit and risk controls incomplete; indicator and dealer-exposure settings absent.

Unanswered questions

  • What is the portfolio-stop reference value and how is the range chosen?
  • Which entry and strike rules select calls?
  • How far before release are trades exited?
  • What is the complete short-option collateral/assignment policy?
  • What data and model produce gamma/delta exposure?
  • How many expiry-comparison samples and what net expectancy?

Limitations

  • Guest name is captioned Zoo, exact spelling unavailable.
  • No date or video URL supplied with VTT.
  • Cue timestamps are available but chart images and exact fills are not.
  • Several option mechanics and probability claims are simplified or unsupported.
  • Named ETF option availability and historical company-event claims are not independently verified.
  • Public record claims are not an independent audit.

Related topics and traders

  • S06 Rob Booker explicitly cited as loss-handling influence.
  • S11 Kyle on defense and hidden risk.
  • S31 Stan options holding contrasts with scheduled pre-event exit.
  • S32 Lucas outside income and S09 Humbled Trader sizing recovery complement savings-buffer discussion.

All insight records

S33-I001 S33-I002 S33-I003 S33-I004 S33-I005 S33-I006 S33-I007 S33-I008 S33-I009 S33-I010 S33-I011 S33-I012 S33-I013 S33-I014 S33-I015 S33-I016 S33-I017 S33-I018 S33-I019 S33-I020 S33-I021 S33-I022 S33-I023 S33-I024 S33-I025 S33-I026 S33-I027 S33-I028 S33-I029 S33-I030 S33-I031 S33-I032 S33-I033

Cross-source synthesis

K001 K003 K005 K006 K011 K012 K013 K014 K015 K016 K017 K018 K019 K021 K022 K023 K024 K026

Source locator

Original filename
This is Why He Never Trades Through EARNINGS....en.vtt
Relative path
This is Why He Never Trades Through EARNINGS....en.vtt
Video url
Not supplied; not invented
Format
vtt
Encoding
utf-8-sig
Sha256
798b7fef61dac037e5f46b17048054e990b11e833abfd3cb0d0e86d1a5ea6f87
Timestamps
cue timestamps
Read chunks
  • S33-C001
  • S33-C002
  • S33-C003
  • S33-C004
Second pass
Status
completed
Reviewed chunks
  • S33-C001
  • S33-C002
  • S33-C003
  • S33-C004
Findings
  • All four VTT chunks read fully; truncated metadata-heavy output was superseded by complete cue-text reads retaining paragraph IDs.
  • Second ordered review of all four displayed chunks in context preserved portfolio stop range, long-call/short-put exceptions, profit mix, MSTX error and SMCI luck.
  • Flagged IV/theta offset, one-for-one option example and universal probability claims as unvalidated simplifications.
  • All numeric excerpts exact-matched.

Open the complete normalized transcript and original line mapping

This SIMPLIFIES Algorithmic Trading

Naoufel | 2024-11-05 | completed

A system-mining and portfolio-supervision interview, with a calendar reversal example and a retrospective sizing experiment. It does not disclose the production robustness filter.

Naoufel describes automation as a response to his own emotional weakness and failed attempts to follow signals. His preferred breakout portfolio accepts low win frequency and uneven returns, with sizing intended to withstand streaks. The host offers a separate warning about high-win-rate short selling and occasional large losses.

The workflow uses generated systems, robustness screening, in/out-of-sample tests, prospective simulation and ongoing replacement. Code generation saves programming work but produces many overfit candidates. A dedicated miner searches continuously while he reviews live behavior against backtests. The full rejection filter is missing.

The interview supplies two educational examples: a red-Monday one-bar reversal with a percentage stop, and a retrospective reduction in allocation after equity drawdown. Both omit conventions necessary for faithful reproduction. Screen-only backtests and the subset of one connected account do not demonstrate future profitability or the full portfolio.

Dimensions A-H

A
Morocco to Canada; failed signal-following; algorithmic trading start and account blowups preserved in I001/I024.
B
Primarily breakout algorithms; some mean-reversion/calendar examples. Exact economic edge and production rules not stated.
C
Generated rules and a Monday reversal example; precise entry order, fills, complete stops and strategy allocation not stated.
D
Risk-of-ruin illustrations, historical-drawdown deactivation, losing streaks and allocation experiments. Aggregate exposure, leverage cap and correlation limits not stated.
E
Automation addresses emotional execution; monitoring supports confidence, but long losing streaks remain difficult.
F
In/out-of-sample tests, simulation incubation, daily review, trade exports, Sharpe and profit-factor comparisons; exact filter cutoffs not stated.
G
Illustrative expectancy and ruin inputs, screen backtests, stock-only results, sizing simulations and historical failures are individually attributed.
H
Research workflow is educational; production portfolio cannot be reconstructed. Calendar and sizing ideas are partially specified research candidates.

Unanswered questions

  • What exact robustness filters and multiple-testing correction reject mined systems?
  • What universe, sample periods, commissions, spreads and fill assumptions underlie the example?
  • Which account and equity series trigger allocation reductions and restoration?
  • How are simultaneous signals and correlated losses budgeted?
  • What are the actual algorithm count and intended ETF symbol?

Limitations

  • Automatic captions contain uncertain names and numbers.
  • Publication date is supplied metadata, not externally checked.
  • Description chapter times are not mapped transcript times; original line 48 and paragraph IDs are the reliable locators.
  • Trading screens are not supplied; spoken screen results cannot be visually verified.
  • Promoted course, product claims and performance figures are historical and unverified.

Related topics and traders

  • S17 algorithmic portfolio
  • S18 AI engineer
  • Other low-win-rate versus high-win-rate traders

All insight records

S34-I001 S34-I002 S34-I003 S34-I004 S34-I005 S34-I006 S34-I007 S34-I008 S34-I009 S34-I010 S34-I011 S34-I012 S34-I013 S34-I014 S34-I015 S34-I016 S34-I017 S34-I018 S34-I019 S34-I020 S34-I021 S34-I022 S34-I023 S34-I024 S34-I025 S34-I026 S34-I027

Cross-source synthesis

K001 K006 K007 K009 K010 K012 K013 K014 K015 K017 K025 K027

Source locator

Original filename
This SIMPLIFIES Algorithmic Trading.txt
Relative path
This SIMPLIFIES Algorithmic Trading.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
ae0cf3e5dd55a9d379de5631d40d94bf3c96b3a9889c9e935d19d0f03c066443
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S34-C001
  • S34-C002
  • S34-C003
  • S34-C004
Second pass
Status
completed
Reviewed chunks
  • S34-C001
  • S34-C002
  • S34-C003
  • S34-C004
Findings
  • Full ordered reread of P0001-P0088 completed after first extraction.
  • Added host schedule/research discussion without converting learning-time opinion into evidence.
  • Rechecked all numerical source excerpts.
  • Retained ETF leverage conflict, algorithm-count ambiguity, partial account scope, simulation versus live distinction and course incentive.
  • Opening teaser and description repeat claims; not independent evidence. The description claims $240K verified profits; this remains a publisher claim.
  • Export metadata playlist progress is 200%; this does not demonstrate duplicate interview content or a doubled duration.

Open the complete normalized transcript and original line mapping

This Trader Made $175K LONGING TRASH

Aiden (Below Trading) | 2025-04-24 | completed

Long trader transitioning from OTC panics to listed first-green-day bounces and anticipated breakouts.

Aiden learned OTC panic buys in the2020-2021 boom after extensive study, then experienced a large drawdown when conditions changed. Withdrawal, a cash account and a more suitable teacher helped stabilize the process. His remaining wealth is less than cumulative profit because of tax and living costs.

Current examples emphasize strong prior runs, retracement bases and small distance to invalidation, plus a lower-level entry before an obvious breakout. He sells portions into strength. A losing first-green-day example exposes the cost of oversized FOMO adds and exhausting cash before a later reclaim.

He remains uncertain about current win rate and does not use a fixed R threshold. His reported inability to disengage and physical strain qualify motivational claims about obsession. Mentor endorsements and market-maker narratives remain distinct from verified evidence.

Dimensions A-H

A
Random discovery, intense study, hot-market OTC learning, downturn and listed transition (I001-I010).
B
Panic bounce, strong-run first green day and anticipatory breakout (I011-I018,I024-I027).
C
Base/reclaim, lower key level, Level2 firmness and partial exits (I012-I015,I021,I027).
D
Withdrawal/cash structure and risk-distance discipline, with FOMO counterexample (I006-I007,I014,I019-I020).
E
FOMO, calm recovery and inability to switch off (I016,I019,I022-I023).
F
Teacher fit, regime observation and small-capital consistency (I008-I009,I024,I029).
G
Unreconciled headlines, PSTV levels and unnamed loss examples; no current win rate (I004,I010,I014,I019,I028).
H
Two researchable listed methods and one underspecified historical method; discretion and full-risk rules absent (I011-I028).

Unanswered questions

  • What are exact size and daily-loss limits?
  • What sample defines consistency before scaling?
  • Which quote conditions constitute firmness?
  • What is current strategy-specific net win rate?

Limitations

  • No chart images supplied; prices are contextual caption interpretations.
  • Mentor performance not broker verified in this source.
  • Population failure rates and market-maker intent not established.
  • Health comments are personal reports, not medical conclusions.

Related topics and traders

  • S13 Andy: long secondary breakouts
  • S12 Dom: anticipation and small-risk breakout entries
  • S16 Farmer: cash-account capacity used for more repetitions, contrasting Aiden restriction

All insight records

S35-I001 S35-I002 S35-I003 S35-I004 S35-I005 S35-I006 S35-I007 S35-I008 S35-I009 S35-I010 S35-I011 S35-I012 S35-I013 S35-I014 S35-I015 S35-I016 S35-I017 S35-I018 S35-I019 S35-I020 S35-I021 S35-I022 S35-I023 S35-I024 S35-I025 S35-I026 S35-I027 S35-I028 S35-I029 S35-I030

Cross-source synthesis

K002 K004 K005 K006 K011 K013 K014 K015 K018 K021 K022 K024

Source locator

Original filename
This Trader Made $175K LONGING TRASH.txt
Relative path
This Trader Made $175K LONGING TRASH.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
b87fabf524c6d9c6da7c31da5aa4acab41892b7bb0313f5c7e56f87896176db9
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S35-C001
  • S35-C002
  • S35-C003
  • S35-C004
  • S35-C005
Second pass
Status
completed
Reviewed chunks
  • S35-C001
  • S35-C002
  • S35-C003
  • S35-C004
  • S35-C005
Findings
  • Full ordered second review of five chunks.
  • Preserved savings-versus-cumulative-profit distinction.
  • Kept cash-account lost opportunity alongside behavioral benefit.
  • Did not convert host ratios/win-rate guesses or ambiguous25-dollar upside into guest rules.

Open the complete normalized transcript and original line mapping

This Trader Made $243K Shorting Pre-Market

Pace | 2024-10-22 | completed

Shanghai-based discretionary small-cap short trader exploiting early premarket low-volume spikes; separate OTM options strategy mentioned.

Pace began in 2020 and struggled across approaches before finding a short-selling style aligned with his preference for accuracy. He credits statistical work inspired by Steven Dux and daily chart observation. His Shanghai schedule makes the earliest US premarket accessible.

His described edge is fading thin, unexplained early squeezes, starting small and adding after weakness such as a trendline break or retest. A reported roughly $15K winner illustrates the process but has chart/ticker ambiguity and no complete execution record. He stops adding when exposure is sufficient and treats high-volume regular-session continuation as a different, invalidating situation.

He explicitly warns beginners away from premarket because of spreads, thin volume and stop limitations. Weekday findings are hypotheses, withdrawals are a separate risk practice, and option-selling results are outside the shown account. His confidence and persistence rhetoric should not substitute for missing risk limits and tests.

Dimensions A-H

A
2020 start, about two struggling years, Dux influence and later fit (I002,I003).
B
Thin early squeeze fade and personal accuracy preference (I004,I007,I011).
C
Tiny probes then weakness adds; news and session context; price levels partly unclear (I009-I018).
D
No oversizing, stop on thesis change, withdrawals; precise premarket loss limit absent (I008,I017-I020).
E
Long-side fear, comfort-zone sizing and persistence qualifications (I009,I022,I024).
F
Stats by day/time, daily charts and learning source influence (I002,I005,I021).
G
Headline scopes differ; approximate $60/300/$10/$15K example captured (I001,I012,I016).
H
Discretionary researchable setup; options only concept; critical execution rules missing (playbooks).

Unanswered questions

  • What is the explicit catastrophic stop before the regular session?
  • How do borrow, fees and spreads affect the payoff ratio?
  • What defines low volume and no meaningful news?
  • Do weekday exclusions survive an untouched sample?
  • Which ticker and exact execution sequence underlie the winning example?

Limitations

  • Charts absent and ticker unclear.
  • Host 90%/95% failure suggestions are not guest-tested probabilities.
  • Stop and broker-rule statements are historical context, not verified current rules.
  • Options strategy is outside the displayed record.
  • Only a winner is walked through; no full losing execution example.

Related topics and traders

  • S18 wide-stop shorting
  • S21 systematic shorting contrast
  • Steven Dux
  • LPA regular-session squeeze contrast

All insight records

S36-I001 S36-I002 S36-I003 S36-I004 S36-I005 S36-I006 S36-I007 S36-I008 S36-I009 S36-I010 S36-I011 S36-I012 S36-I013 S36-I014 S36-I015 S36-I016 S36-I017 S36-I018 S36-I019 S36-I020 S36-I021 S36-I022 S36-I023 S36-I024

Cross-source synthesis

K003 K004 K005 K017 K018 K023

Source locator

Original filename
This Trader Made $243K Shorting Pre-Market.txt
Relative path
This Trader Made $243K Shorting Pre-Market.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
3c043cebe448a2cf75ed655aa4d4b8028e34a547b549aef2861415e23a67d1c5
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S36-C001
  • S36-C002
  • S36-C003
Second pass
Status
completed
Reviewed chunks
  • S36-C001
  • S36-C002
  • S36-C003
Findings
  • Re-read C001-C003 in order.
  • Retained differing chart timeframes and price descriptions.
  • Separated actual current payoff from aspirational 2:1.
  • Flagged weekday inference and host probability conjectures.
  • Captured option-account exclusion and absent early catastrophic-stop rule.

Open the complete normalized transcript and original line mapping

This Trader Made +$700K in 6 MONTHS - While Working a Full-Time Job

Mallik (TQQQTrader) | 2025-09-11 | completed

Fully automated low-frequency leveraged-index position trading, seven strategies.

Mallik aligns software engineering and limited screen time with automated near-close target allocation in TQQQ/SQQQ. His custom WhiteLight platform covers research, cached data, account reconciliation, scheduled execution and telemetry. Daily decisions may produce only one or two weekly trades and long core holds.

The six-month headline is materially qualified by his explanation that older multi-year positions were recognized on closure. Larger capital deployment followed a small learning account. Approximate live40-percent annual returns and30-percent drawdowns are distinct from the simulated80-percent long-history curve, which includes a50-percent drawdown lasting around1.5 years.

The demo reveals operational architecture but not the full seven rules, historical product construction or selection controls after hundreds of model trials. His rejection of crash prediction is clear; certainty of future recovery, no retirement rule and unlimited-capacity aspirations deserve skepticism.

Dimensions A-H

A
Small account losses and swing boom/bust preceded engineering-based specialization (I002-I005).
B
Seven simple trend/mean-reversion systems with price-only inputs (I007-I009,I013).
C
Near-close dynamic target weights and broker reconciliation (I015-I024).
D
Large live/modeled drawdowns, reaction not crash prediction, retained gains (I010,I032-I036).
E
Conviction supports noninterference but certainty is overstated (I006,I035-I036).
F
Manual hypothesis formation, hundreds of tests and selection-bias gaps (I014-I016,I037-I039).
G
Six-month accounting issue and live-versus-model distinctions are central (I001-I002,I010,I029-I034).
H
Systematic candidate with substantial infrastructure detail, missing actual rules/data recipe and operational controls (I017-I025,I028-I030,I038-I040).

Unanswered questions

  • What are all seven rules and their weights?
  • How was1985-era ETF exposure synthesized and financed?
  • How were300-350 tested candidates validated out of sample?
  • Does backtest use final close unavailable at decision time?
  • What halts, drift, kill and broker-timeout controls exist?

Limitations

  • No code or raw backtest dataset supplied.
  • 42/45/40-year duration differs from1985-2025 span.
  • Live record and current strategy versions differ.
  • Broker/product descriptions are historical source statements, not current verified terms.

Related topics and traders

  • S17 Shahzad: automation and raw-trigger ambiguity
  • S18 Jim: automated execution with operational and testing caveats
  • S21 Andrey: systematic does not necessarily mean automated

All insight records

S37-I001 S37-I002 S37-I003 S37-I004 S37-I005 S37-I006 S37-I007 S37-I008 S37-I009 S37-I010 S37-I011 S37-I012 S37-I013 S37-I014 S37-I015 S37-I016 S37-I017 S37-I018 S37-I019 S37-I020 S37-I021 S37-I022 S37-I023 S37-I024 S37-I025 S37-I026 S37-I027 S37-I028 S37-I029 S37-I030 S37-I031 S37-I032 S37-I033 S37-I034 S37-I035 S37-I036 S37-I037 S37-I038 S37-I039 S37-I040

Cross-source synthesis

K001 K002 K006 K007 K008 K009 K010 K014 K017

Source locator

Original filename
This Trader Made +$700K in 6 MONTHS - While Working a Full-Time Job.txt
Relative path
This Trader Made +$700K in 6 MONTHS - While Working a Full-Time Job.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
2bc7972e277b3cb0b988b43b402bb4d80a2b5b7b844943e9504780e429ac4d9a
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S37-C001
  • S37-C002
  • S37-C003
  • S37-C004
  • S37-C005
Second pass
Status
completed
Reviewed chunks
  • S37-C001
  • S37-C002
  • S37-C003
  • S37-C004
  • S37-C005
Findings
  • Five existing chunks fully read twice; attempted C006 did not exist and was not counted.
  • Preserved six-month headline correction and live/simulated separation.
  • Added explicit versioning, multiple-test, closing-bar and synthetic-history questions.
  • Marked scheduling/retries as operations detail, not complete profitable algorithm.

Open the complete normalized transcript and original line mapping

This Trader's Profits Started To EXPLODE (Kinfo's Next Millionaire)

Strati (Stratataaa) | 2025-05-08 | completed

Long momentum and squeeze trader; conceptual short mirror not currently traded.

Strati benefited from COVID-era market access, established mentorship and a hot OTC market, then spent a flat2022 learning and adapting. Watching experienced shorts fail to get a breakdown aroundJanuary2023 led him toward long trades based on expected downside not occurring.

His main lens is participant pressure, including losing-short fear and profitable-short greed, but he rejects automatic contrarian buying and continues trading ordinary long breakouts. Thin volume can intensify a squeeze while also trapping him, and his roughly38-40 percent win rate leaves little room for uncontrolled slippage.

He openly describes oversizing, overconfidence after winning and drawdown-triggered study. Worst-case sizing remains a work in progress. Unsupported population failure percentages, uncertain borrow-cover timing and speculative dilution/market-maker explanations are not operational rules.

Dimensions A-H

A
Teaching, COVID opportunity, OTC profits, flat2022 and January2023 synthesis (I002-I004,I010-I012).
B
Expected-versus-actual behavior and fear/greed squeeze hypotheses (I014-I019).
C
Failed lows, support/volume and daily breakout entries (I015,I020,I023-I026).
D
Low-volume exit risk and unresolved worst-case sizing (I016-I018,I021-I022,I029).
E
Winning streak risk, drawdown review and attachment to plans (I005-I009,I029-I030).
F
Reciprocal mentorship, self-synthesis and comparing winners/losers (I011-I013,I028,I032).
G
Approximate profit/headlines,26K bounce and low win rate; uncertain chart decimals (I001,I020-I025).
H
Two discretionary long methods; emotions/positions inferred and hard execution controls absent (I014-I027).

Unanswered questions

  • How is worst-case size actually capped?
  • What observable metric proxies crowded short positions?
  • How many failed lows and how long must they hold?
  • What happens if thin liquidity prevents intended stop?
  • What are net strategy-specific returns and drawdown distribution?

Limitations

  • No chart images/fill records, exact AR/ARB identity not confirmed.
  • Population90-percent statistics unsupported.
  • T+1/buy-in claims explicitly uncertain and not verified.
  • Host alcohol anecdotes are not guest practice or recommended coping.

Related topics and traders

  • S35 Aiden: first-green-day bounce and low-volume short-trap hypothesis
  • S13 Andy: long breakout focus
  • S12 Dom: oversizing and emotional control
  • S21 Andrey: probabilistic shorts contrasted with failed-short long lens

All insight records

S38-I001 S38-I002 S38-I003 S38-I004 S38-I005 S38-I006 S38-I007 S38-I008 S38-I009 S38-I010 S38-I011 S38-I012 S38-I013 S38-I014 S38-I015 S38-I016 S38-I017 S38-I018 S38-I019 S38-I020 S38-I021 S38-I022 S38-I023 S38-I024 S38-I025 S38-I026 S38-I027 S38-I028 S38-I029 S38-I030 S38-I031 S38-I032

Cross-source synthesis

K001 K003 K005 K006 K008 K011 K012 K013 K014 K015 K017 K018 K020 K021 K023 K024 K027

Source locator

Original filename
This Trader's Profits Started To EXPLODE (Kinfo's Next Millionaire).txt
Relative path
This Trader's Profits Started To EXPLODE (Kinfo's Next Millionaire).txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
a5ef442ad6a8cd53edf949e9acad2163805f45c53b0f20499531e624a3a14b18
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S38-C001
  • S38-C002
  • S38-C003
  • S38-C004
  • S38-C005
Second pass
Status
completed
Reviewed chunks
  • S38-C001
  • S38-C002
  • S38-C003
  • S38-C004
  • S38-C005
Findings
  • All five chunks fully reread in order.
  • Preserved rejection of blind contrarian buying and ongoing full-fade exclusion.
  • Separated short mirror concept from actual long-only scope.
  • Marked worst-case sizing as developing, not implemented, and uncertain borrow timing excluded from rules.

Open the complete normalized transcript and original line mapping

Trader turned $280 → $500K - Then Kicked Out of U.S. Investing Championship

Trader YC (Chill Trading) | 2026-01-15 | completed

Hong Kong momentum trader reviews a leveraged residual-balance challenge, real-time execution examples, regime adjustments and an unresolved competition dispute.

YC explains a fast momentum style using daily levels, one-minute candles, Level 2 and quick risk cuts. Long pullbacks add on reversal then exit strength; shorts can take longer. Tape interpretation and regime judgment remain discretionary. Partial fills in examples are material replication obstacles.

The 280 starting point was remaining capital after losses from a larger test deposit, and the trader already had years of experience. Available leverage accelerated early growth with acknowledged one-bad-day ruin risk. Summer losses caused smaller size; a spectacular runner shifted expectations for follow-on activity. Peak balance later declined before a holiday pause.

The final discussion is a one-sided competition dispute with allegations about rules, broker requirements, statement verification and refund. No independent adjudication is possible from these files. The educational point is to examine evidence provenance and account scope, without adopting motives or misconduct as established. His advice favors focused practice and small/demo learning over copying his extreme challenge.

Dimensions A-H

A
2017 beginner losses, 2018 profitability, prior challenge, long-first then shorts; experienced before current challenge.
B
News/volume momentum and participant squeeze behavior; regime heat affects size and patience.
C
Daily levels, one-minute candles, Level 2, dip reversal adds, strength exits, breakdown shorts; partial fills disclosed, numeric stop/scan rules absent.
D
Quick cuts, small initial capital with leverage, summer size cuts and holiday pause; exact per-trade/day risk, borrow and fees absent.
E
Practice-based discipline, no chasing tops, crowd FOMO regime hypothesis; survival risk acknowledged.
F
Focused instrument/style, mentor reasoning, demo and personal adaptation; academy commercial context.
G
First-day PO caption, YOUL/YUL, CWD and EMC caption examples; balance drawdowns and disputed competition values.
H
Discretionary method; tick-level inputs and real-time fill handling needed. Exact scanner, stop, sizing and short setup definitions missing.

Unanswered questions

  • Exact stop distances and cumulative daily cap?
  • Full pre-challenge deposit/loss and subsequent cash-flow record?
  • Real broker terms and jurisdiction at the time?
  • How are regime heat, news quality and Level 2 support defined?
  • Which tickers are PO and EMC captions?
  • What independent records and responses resolve the competition dispute?

Limitations

  • No independent verification of results or dispute.
  • Five/six-month wording and distinct return denominators preserved.
  • Caption ambiguities and partial share-count mismatch retained.
  • Broker/regulatory statements historical, not current guidance.
  • Promoted academy and platform incentives are relevant.

Related topics and traders

  • Small-account challenges and denominator selection
  • Momentum regime shifts
  • Level 2 discretionary scalping
  • Broker verification versus screenshots

All insight records

S39-I001 S39-I002 S39-I003 S39-I004 S39-I005 S39-I006 S39-I007 S39-I008 S39-I009 S39-I010 S39-I011 S39-I012 S39-I013 S39-I014 S39-I015 S39-I016 S39-I017 S39-I018 S39-I019 S39-I020 S39-I021 S39-I022

Cross-source synthesis

K002 K004 K005 K006 K008 K015 K018 K023 K027

Source locator

Original filename
Trader turned $280 → $500K - Then Kicked Out of U.S. Investing Championship.txt
Relative path
Trader turned $280 → $500K - Then Kicked Out of U.S. Investing Championship.txt
Video url
Not supplied; not invented
Format
txt
Encoding
utf-8-sig
Sha256
1fbe31278230ba0bc779252fd01ebe19734eb04496dccb4f67b68d13f3f06477
Timestamps
description chapters only; transcript citations use original line and paragraph
Read chunks
  • S39-C001
  • S39-C002
  • S39-C003
  • S39-C004
Second pass
Status
completed
Reviewed chunks
  • S39-C001
  • S39-C002
  • S39-C003
  • S39-C004
Findings
  • Full four-chunk reread retained original 2K deposit loss before 280 reset, peak-to-current drawdown and public-update lag.
  • Separated host 99% and motive assertions from guest method.
  • Retained partial fills, longer short holds, operational hand injury and all dispute sections as allegations.

Open the complete normalized transcript and original line mapping

Coverage and reconciliation

Top

Expected videos: 38. Discovered transcript candidates: 38. One system metadata file excluded. Original files remain unchanged.

Completed
38
Partial
0
Blocked
0
Pending
0
Source Title / trader Status Words / chunks Metadata limits
S01 $2.7M Verified: The Former Janitor Who Beat the Stock Market
Ravenloft
completed 7,213 / 4 description chapters only; transcript citations use original line and paragraph; video URL absent
S02 16M Trader Explains His 1-Hour A Day Strategy
Alex Temiz
completed 11,816 / 6 description chapters only; transcript citations use original line and paragraph; video URL absent
S03 26 Year Old Makes $1.5 MILLION Starting From 1 Share A Day
Marcelo / MightyStocks
completed 11,996 / 6 description chapters only; transcript citations use original line and paragraph; video URL absent
S05 Don Juan's CRAZY After Hours Pattern
Don Juan / Juan
completed 5,000 / 3 description chapters only; transcript citations use original line and paragraph; video URL absent
S06 Ep 13: Rob Booker: Veteran Trader Goes Transparent and Reveals Strategy
Rob Booker
completed 11,508 / 6 description chapters only; transcript citations use original line and paragraph; video URL absent
S07 Ep. 1 Of Transparent Traders, with Millionaire Day Trader Edu Trades
Edu Trades
completed 10,339 / 5 description chapters only; transcript citations use original line and paragraph; video URL absent
S08 Ep. 10 Of Transparent Traders: This Trader Hyper Scalped His Way to 1 MILLION
Tim / Trading With Tim
completed 10,577 / 5 description chapters only; transcript citations use original line and paragraph; video URL absent
S09 Ep. 12: Why Humbled Trader Switched To Swing Trading ($280k Verified Profits)
Humbled Trader
completed 8,999 / 5 description chapters only; transcript citations use original line and paragraph; video URL absent
S10 Ep. 2 Of Transparent Traders - Top MILLIONAIRE Trader Huddie Reveals His Core 3 Trading Patterns
Mike Huddie
completed 5,779 / 3 description chapters only; transcript citations use original line and paragraph; video URL absent
S11 Ep. 3 Of Transparent Traders - Kyle's $5M Dollar Strategy: First Red Day Secrets
Kyle Williams
completed 8,042 / 4 description chapters only; transcript citations use original line and paragraph; video URL absent
S12 Ep. 4 Of Transparent Traders- Dom's Secret to $1.7M in Long Only Profits!
Dom (Dominic; Dom_Mastro10)
completed 10,293 / 5 description chapters only; transcript citations use original line and paragraph; video URL absent
S13 Ep. 5 Of Transparent Traders: Young MILLIONAIRE Hyper Scalper Andy (Quickbags) Shares His Secrets
Andy (Quickbags)
completed 4,009 / 2 description chapters only; transcript citations use original line and paragraph; video URL absent
S14 Ep. 6 Of Transparent Traders: BMAC changed these 3 things to make 703k profits in the last 12 months
Brandon (BMAC)
completed 7,304 / 4 description chapters only; transcript citations use original line and paragraph; video URL absent
S15 Ep. 7 Of Transparent Traders: He LOST IT ALL Then Made $1.1MILLION
James (Stockwonk)
completed 10,360 / 5 description chapters only; transcript citations use original line and paragraph; video URL absent
S16 Ep. 8 Of Transparent Traders: From Farmer to MILLIONAIRE Trader
The Trading Farmer
completed 9,595 / 5 description chapters only; transcript citations use original line and paragraph; video URL absent
S17 Ep. 9 Of Transparent Traders: The Future Algorithmic Millionaire
Shahzad (Siylenia)
completed 9,044 / 5 description chapters only; transcript citations use original line and paragraph; video URL absent
S18 Former Google AI Engineer Made $450K in 18 MONTHS
Jim (Jim37 / zhangji37)
completed 5,762 / 3 description chapters only; transcript citations use original line and paragraph; video URL absent
S19 From $500K To Almost BLOWING UP
Arsalan (arslinnn)
completed 9,002 / 5 description chapters only; transcript citations use original line and paragraph; video URL absent
S20 From Brain Injury to 6-Figure Trader: TBOWS’ Comeback Story
Justin, TBOWS / The Bear of Wall Street
completed 9,012 / 5 description chapters only; transcript citations use original line and paragraph; video URL absent
S21 From High-Stakes POKER To 6 Figure DAY TRADING
Andrey (N0pr3s3n7)
completed 7,097 / 4 description chapters only; transcript citations use original line and paragraph; video URL absent
S22 He left SMB Capital. Then Made +280K in 9 months
Yanni
completed 7,485 / 4 description chapters only; transcript citations use original line and paragraph; video URL absent
S23 He REJECTED Charts And Made 780k Trading Options
Frank
completed 5,705 / 3 description chapters only; transcript citations use original line and paragraph; video URL absent
S24 Inside Multi-Millionaire Trader Kyle Williams’ $600K Month
Kyle Williams
completed 11,999 / 6 description chapters only; transcript citations use original line and paragraph; video URL absent
S25 Multi-Millionaire 23-year-old Swing Trader REVEALS His Strategy
Sean Rechtman (Sean Trades; SRxTrades)
completed 15,050 / 8 description chapters only; transcript citations use original line and paragraph; video URL absent
S26 My $9M Edge Short Selling: Themes & Schemes
Adam Gefvert (Aikido Trading Enigma; shiningboy; White Diamond Research)
completed 10,721 / 6 description chapters only; transcript citations use original line and paragraph; video URL absent
S27 Next Verified Millionaire: How This Trader Turned $1K Into $800K Using VWAP
Xavier Comas (Xavi; xavier_comas; caption variants Chavi/Chavier)
completed 10,157 / 5 description chapters only; transcript citations use original line and paragraph; video URL absent
S28 Selling Options For Weekly Income While Working Full-Time (The Strategy)
Bobdog (Bob Dog; Bobdog1922; Theta Daddies)
completed 10,091 / 5 description chapters only; transcript citations use original line and paragraph; video URL absent
S29 The 3 Indicators This 21-Year-Old Uses to Short Overextended Stocks
Binh (spoken/captioned Ben)
completed 9,951 / 5 description chapters only; transcript citations use original line and paragraph; video URL absent
S30 The Delta-Neutral Setup: How To Profit In Any Market Direction
Ravish
completed 14,623 / 8 description chapters only; transcript citations use original line and paragraph; video URL absent
S31 The Trader Who Became a Multi-Millionaire Losing Most of His Trades
Stan / Stan100X
completed 11,850 / 6 description chapters only; transcript citations use original line and paragraph; video URL absent
S32 This After Hours Set Up Made Him 100K In 3 MONTHS
Lucas Marin
completed 10,859 / 6 description chapters only; transcript citations use original line and paragraph; video URL absent
S33 This is Why He Never Trades Through EARNINGS....en
Zoo (captioned name; spelling not independently established)
completed 8,537 / 4 cue timestamps; video URL absent
S34 This SIMPLIFIES Algorithmic Trading
Naoufel
completed 6,465 / 4 description chapters only; transcript citations use original line and paragraph; video URL absent
S35 This Trader Made $175K LONGING TRASH
Aiden, Below Trading (Bellow/Belove caption variants)
completed 9,221 / 5 description chapters only; transcript citations use original line and paragraph; video URL absent
S36 This Trader Made $243K Shorting Pre-Market
Pace
completed 5,348 / 3 description chapters only; transcript citations use original line and paragraph; video URL absent
S37 This Trader Made +$700K in 6 MONTHS - While Working a Full-Time Job
Mallik / Malik, TQQQTrader / RealTQQQTrader
completed 10,415 / 5 description chapters only; transcript citations use original line and paragraph; video URL absent
S38 This Trader's Profits Started To EXPLODE (Kinfo's Next Millionaire)
Strati / Stratataaa (caption variants Stratey, Stratti)
completed 9,500 / 5 description chapters only; transcript citations use original line and paragraph; video URL absent
S39 Trader turned $280 → $500K - Then Kicked Out of U.S. Investing Championship
Trader YC (Chill Trading)
completed 7,925 / 4 description chapters only; transcript citations use original line and paragraph; video URL absent
Exact file duplicates
None specified.
Caption repetition
Exact adjacent triple fragments collapsed conservatively. Ledger retains deleted spans and text. VTT rolling-caption repeats collapsed. Residual repetition retained when ambiguous.
Identity status
38 distinct supplied interviews after full-content reconciliation and duplicate screening. Missing video URLs prevent external video-ID verification.
Content screen
Eight-token transcript-shingle overlap screen plus per-source content reading. Similar topics or repeated guests are not duplicate videos.
Source pairs screened
703
Near duplicate candidates
None specified.
Repeated guest
Guest
Kyle Williams
Sources
  • S11
  • S24
Treatment
Separate interviews and chronology; one person for recurrence counts.

Completion and quality gates

Complete processing of all 38 supplied readable transcripts; remaining issues are source and replication limitations, not unread sections.

Source coverage
Passed: 38 completed, 0 partial, 0 blocked, 0 pending; all 182 ordered chunks recorded in both reading passes.
Normalization
Passed: every TXT nonblank line and VTT content line retained or represented in an exact-repeat removal ledger.
Original integrity
Passed: all original SHA-256 hashes unchanged.
Citations and numbers
Passed: 4,701 source-insight paragraph references resolve; 900 numeric source excerpts match exactly. This verifies textual fidelity, not the truth of performance claims.
Quotation handling
No formal direct-quotation fields are used. Brief numeric source excerpts are preserved and matched against the supplied text.
Synthesis
Passed: every consolidated lesson has supporting source records; every extracted insight is retained in the master library or a linked consolidation.
Playbook fields
Passed: all 75 playbooks have source rules, explicit example availability, failure modes, missing rules, proposed tests and automation boundaries.
Browser
Passed in Microsoft Edge: navigation, all internal targets, search, combined filters, saved progress/reset, unavailable storage, timer, mobile width and print visibility.
Offline
Passed: no external network requests for core use.
Javascript
Passed: syntax and browser runtime checks; no console exceptions.
Display
Desktop, mobile and print-media screenshots visually inspected. Print exposes all substantive text, including evidence and filtered insight cards.
Scope
Two source-level reading passes and coordinator reconciliation completed. Optional extra independent synthesis reviews were interrupted by usage limits and are not represented as completed.

Evidence appendix

Top
S01 | $2.7M Verified: The Former Janitor Who Beat the Stock Market | Complete normalized text

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$2.7M Verified: The Former Janitor Who Beat the Stock Market

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============================================================

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📅 Uploaded: 2026-03-19

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⏱️ Duration: 0:29:48

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👁️ Views: 5,895 (Rank #1 of 1)

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💬 Comments: 21

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📼 Playlist Progress: 0:59:36 of 0:29:48 (200.0%)

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👉 Check Ravenloft's performance on Kinfo: https://kinfo.com/portfolio/91159/performance

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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Ravenloft wouldn’t describe himself as smart, but he’s made $2.7 million in verified profits over the past two years, all while running his own company as an entrepreneur.

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His approach is the opposite of what most traders expect: no complex indicators, no constant screen time, and no chasing hype.

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Instead, he built his edge around patience, simplicity, and a strategy most people overlook - consistently selling options on companies he actually uses and understands.

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In this relaxed conversation, Ravenloft shares the thinking and principles behind those results.

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📖 Chapters:

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00:00 Intro

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02:00 Starting with $10K and early investments

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04:00 “Buy what you use” investing philosophy

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06:30 Discovering options and the wheel strategy

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14:30 How he finds investment opportunities (like nuclear)

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21:00 Scaling the strategy with small accounts

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24:00 The real risks: psychology, greed, and discipline

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27:00 Life lessons

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🔑 Key Takeaways:

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1. Simplicity beats complexity.

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2. Patience is the real edge - the market rewards patience over activity.

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3. Premium income compounds fast - by reinvesting option premiums, he accelerates growth without needing new capital.

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4. High win rate comes from risk control - targeting small, consistent returns (around 0.75–1% weekly) keeps losses minimal.

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5. You don’t need full-time trading - he spends roughly an hour per week managing trades while running a company.

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✔️ Follow Kinfo: https://x.com/Kinfo

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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🔴 Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal #OptionsTrading #StockMarket #PassiveIncome #Investing #WheelStrategy #DayTrading #Finance #WealthBuilding #ravenloft #jonk87 #chatwithtraders #verifiedtraders #tradingpodcast

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Dude, I might be pumping my company right now and might might lose all your money, dude. You can't trust anybody until you know them. 2.5 million in verified profits in the last 2 years? >> a janitor before when I was in college and stuff. That's why I got to college and stuff. I used to have a wealth manager who never beat the market ever in 10 years. So, I said, "Let me try doing this myself." So, have money and a whole bunch of patience and ignore everything else. So, I trade on Robinhood a lot. I buy Robinhood. I fly United a lot. I buy United. Now, I bought 0.75 to 1% premium income. If you

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can find companies that truly have a moat, that's great. You can probably ride the trend. It doesn't matter how rich you are. It doesn't matter how much money you make. You are going to [ __ ] die. Welcome to Transparent Traders, where we interview only verified traders with proven profits. Today, we talk with Ravenloft. I hope I'm saying that right. Who has made 2.5 million in verified profits in the last 2 years. He has one of the most beautiful Kinfo curves I recently saw. So, tell me, Ravenloft, how did you get started and how much did you get started with? Because a lot of people that make this amount of money started with a lot of money.

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So, I'm just curious, how did you start, Scott? So, thanks for that and thanks for inviting me. inviting me. inviting me. I'm going to preface this by telling everybody, everybody, everybody, I'm not so smart and they should believe that they're not so smart. I don't think anyone is that smart. Um, there's a lot of luck that goes into this [ __ ] Um, there's a lot of patience. As you know, the man from Omaha says that the stock The stock market, my favorite quote, is a venue to take money from the inpatients to the patient, right? So, having patience for me is a very critical thing. critical thing. critical thing. The accounts before Kinfo had $10,000. But,

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they included, you know, investments in a few private companies and public companies. I only started, you know, you know, you know, trading on trading with Kinfo when I got into the option world, which I started doing precisely on October 24th. Um October 2024 was when I started option trading the capital pool that I'd developed by then. So, it was um with a $10,000 start in these accounts that I had, right? So, it was $10,000 in a private company that, you know, I I I I used to invest small diluted capital in very early stage, very risky ventures that I thought had potential because they hit trends that the markets needed. And you know, it's a

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portfolio approach like the movie business where you put money into, you know, many things that would fail, but only one movie does well and you're putting nothing in that private portfolio to do well. well. well. About 2022, I put about 10,000 into this one I put about 50,000 into four or five different private companies, one park. Right? Right? Right? And then and then I used to have I used to have a wealth manager who never beat the market ever in 10 years. So, I was like, let me try giving this myself a sommelier. And um my first principle was let me buy things that I want to own because I use them. So, I trade

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on Robinhood a lot. I buy Robinhood. I fly United a lot. I buy United. buy United. buy United. Um Um Um you know, I started with my first My first principle was buy what you know. You don't know everything, but at least you know what you use. So, for me, the definition of know is do I use it? Do I like it? Let's go buy it. That's the starting point. Right? So, so I mean, so that that's kind of the first rule of that you followed when you invested in and companies yourself. It's It's just literally been do I do I like it? And that's it. Because I I'm I'm reading an investment book at

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the moment where everyone's talking about moats. Yeah, absolutely. Like you I've read quite a few of these Russell the Jazzman and, you know, blah blah blah, all these books that come out there. Um the primary reason a person writes a book is to make money. So, they write it so you buy it. I don't really subscribe to. I'm 50 years old now. Um I used to read a lot of these books and honestly, I don't read ordering long enough. Um when I read books I read about true fiction. Um I do believe companies have modes and I'm probably using them because they have a mode. If you can find companies that truly have a mode,

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that's great. You can probably drive the trend, but modes disappear pretty rapidly with the advent of technology now. You know, SaaS was a big thing 2 years back and now SaaS eclipse is here. So, was that a mode? Yeah, I also got to like worry about that. that. that. So, like that's that's the million-dollar thing, right? Because I'm reading a book from and the book must have been written about 8 years ago right now. right now. right now. And it's giving examples of companies with good modes and then I look them up on the stock chart and the stock's been going down the last [ __ ] the 3 years. And I'm thinking, well, this isn't this

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isn't very good and modes can decline. They can uh they can decline so quickly. So, because for Yeah, exactly what you just said. Um technology changes. Newspaper businesses aren't popular anymore. Newspapers aren't popular anymore. A lot of different things change. But, so what do you specifically look for? What did you look for when you invested in the companies other than the fact that you like them? Here's how my my life ran and how it worked for me and then it was these these principles of all that you grow your capital too, right? So, start by buying things you know, defined by not that you know the business because you actually never know the business until

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you actually work in the business. But, what you actually use you likey and you see other people use it, right? That for me is mode enough at a given point, right? right? right? Second, you know the power of patience. Why? Because Why? Because Why? Because you want to exploit the compounding that happens when you make returns on these stocks, right? So, for example, when I sell an option, right? I make premium income and if I redeploy that premium income into that same company that I'm investing in, it's compounding the growth just because of the income you're making in selling options, right? So, if you see my key info history, it's basically up on option selling,

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right? Um and this year I I decided to even double down more on just sell. If you If you sell something, you never lose. lose. lose. And that asset value might go down on that sale, but if it's a good company which is quality that you actually know and like, and like, and like, you know, it's going to amplify, right? Over time. Um, they have sticking qualities, right? So, that that that, you know, that is my advice to people which is if you don't know anything about investing, just buy something you like and then just start selling options on top of where you can get to 100 shares and 100 shares you give you wing

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to machine that will allow you get to 150 shares and then you get to 200 which gets you the two contracts which gets you You know, that's patience. Does the wheel strategy ring a bell at all? >> Yeah, yeah, yeah. So, this is this is I wasn't so smart like all of a sudden this amazing thing and then I looked it up and oh, there's something called the wheel and the books about it. I'm like, okay, maybe this is public common sense, right? So, yeah, I do I do I do I I'm not a strict wheel. I set my limits limits limits on put options now at about .75 to 1% of premium income. premium

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income. premium income. And I only do one week premium I only do one week options. So, when I sell, I'm not greedy again. Third rule is don't be greedy, man. That's the greed that gets you, right? So, if you if you see my win-loss ratio, I'm close to 100%, right? Go look at year-to-date and I'm close to 100%. Last year I was fooling around with trends. That's the That's the That's the the the third rule of mine, right? Which is don't be greedy. Um, and I'm now I'm now about to put in stone a fourth rule which is talk to people. I've never done this before. I don't tweet. I don't do any of that

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stuff, but I met a few I got talking to people online. It was just interesting that some of these communities that pop up and some of these, um, Substack out there. Um, so, I don't know what you said. Yeah, Substack, right? I don't get paid by anyone, but I started making a few friends online. Um, I can definitely recommend a couple to go sign up for. Um, some are paid, some are free. I tell you the one that I love is Don't Don't laugh at me, but it's called The Capital. Don't take some out. I kid you not. I actually flew up and I met the people behind it. Just because I started talking to

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them a lot and, you know, they do some deep research on some amazing plays. Oh, I I don't post, but like on Twitter, for example, I follow this person called Serendipity. He just got quoted yesterday is in The Wall Street Journal, I think, as a blogger. So, you know, you you have to put yourself out there. You just learn more stuff and that's my fourth room coming up now that I think it's about 2026. I'm going to double down, which is like getting more, you know? Like this podcast is getting a word. If you do the teachings of this chart to year-to-date, you'll see what I mean by if you sell something, you never lose

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on the gain for tab that you have open. Yeah, so I'm I'm not going to address right now. So, I'd say on a week, you've made 6.66k so far. But we had the holiday, but your win rate is 100%. You won You know you had a great rate, right? Because you either did no zero rates months. Yeah. Um, so even the calendar journal entry because I love that because, you know, you'll see at the end of the year based on your net asset value of the underlying stock that you own and you can use to write off some of the losses, right? So, you'll see you're like the consistent like, yeah. yeah. yeah. But I

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can say on a month, you've you've won 96% of the time, which is almost no losses. 3 months, 84% and then yearly, you've won And then because December would have been kicking me down with the net some batch loss selling, right? Of the net asset base below me, right? To optimize my taxes. All all time, you winning more than five out of five times. And that's obviously if you didn't deviate from the strategy, it would uh that would be higher. And the strategy is a war, right? Like I said, I hold it like in terms of how much you're selling and buying. In the early days of my existence, I was buying and selling and

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swing trading and trend trading and doing all of this. And now I'm like, screw it. I spend an hour in the morning on Mondays or Sunday nights setting trades and then I wake up if an alert shows up during the week or it goes out things on a Friday after doing well enough so I can get an extra day off option into them. You know what I mean? Off off off feeder. For the next week like this morning I woke up there were a few in the 80% profit range so I was like take the profit and get an extra day on the length of time for the option for next week. Oh no, so

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what? We got a full-time job just so you know. I mean I did all my job, right? I actually have a job, right? right? right? Um actually it's just yeah. So you run a company you run a company right now and you've also made 2.5 million on the side over the last 2 years all while running your own company which we all know if like I know if been an entrepreneur it's it's the most time consuming hard It is all it's it's um you can go check it out it's called Slip. Um it's public company actually you're going to not be in it. Um we love what we do we've been public on the Toronto

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Stock Exchange for many years. Um I'm going to make real wealth I'm going to make real wealth there, right? This is just fun stuff. It's fun making money while having fun. So like you know I just like having fun guys. You got to have fun in life. You can't take all of this stuff too seriously. I also rule number five go and use margin. I never used margin it's from this guy. It's patience with my 10,000 base that you keep building and I don't like I used to not have patience. So so love you you've got a really nice curve yeah you can obviously see that you've got a very disciplined structured process because you've

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took very few losses it's a very smooth curve. The only the only kind of blip is this The December video December tax loss. In my blips it's stupidity the December blip. blip. blip. And you know to take the tax loss of the underlying asset base. Who likes tax? Everyone want to die and I don't want to pay taxes but I can't control I would but what the [ __ ] just minimize it, be healthy, get some fresh air. Don't sit there trading for like 9 hours or less standing up, you know what I mean? I mean? I mean? Yeah but like you say that I'm only You say that you're not very clever but like you've started

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your own company it's now public on the exchange you've invested in a bunch of other companies a couple of them have blew up. You've now took yourself to options. It's working. So, hey, what's the secret? Well, if I was that smart, I wouldn't be trading because I'd have enough money not to trade. Let's just start there. And also my company, while it is public on the Toronto Stock Exchange, no disrespect to my Canadian friends, I love you guys a lot, but the [ __ ] is public in Canada when why am I not on the Nasdaq? That's our plan. We're going to get there, right? So, no no disrespect to Canadians. I love you Canadians. I you

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know, you done a lot of work up there. Um but you know, I just want to come to the money here, right? And it's interest, right? Like I mean I mean it's a good learning place. I mean to me the markets really kick you down because you learn, you meet people like these kids who started The Capital who I just absolutely absolutely love. I would give any banker friend of mine a challenge to beat the research that these guys do when they get interested in a stock. So, I mean I want to go on your options and I'm going to but I'm just saying like with when you made a lot of money on the

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nuclear company or when you invest in a company today, I know that you say that you've got to like the company or maybe use the company, but you're not you're not using a nuclear service. So, like how do you find that stock to invest in and what where where's the trend come from? Where how where did you spot it? Well, we all use energy, right? I'm sure you like electricity. Would you like to go back to the dark ages? No, the [ __ ] you don't. It's too I mean you don't have to do it now. Exactly, right? So, you're using energy. You're using nuclear right now. Right? Now, I knew nothing about nuclear till a few

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years back. Before I started my company, I was helping build out base station telecommunication sites telecommunication sites telecommunication sites for a company that's public actually in India now at some insane valuation and I learned about energy and we went from, you know, you know, you know, diesel generators to lead acid batteries to fuel cells and we started looking at micro nuclear back then, right? So, I kind of knew what it was and then, you know, I had a friend who called and said, "Listen, I'm doing this nuclear startup." And I laughed. I mean I shouldn't have but you know what nuclear, buddy? Like you don't you know, it's going to you don't know it's going

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to like really explode. And sure it exploded and you know, again, I meet people, I talk to them, you get to know people, you feel comfortable with them. You know, I don't live behind the screen. screen. screen. And I really encourage people don't do that yourself. Because there's a lot of learning out there and everybody has their own ecosystem. Um Um Um and I trusted him. He's like, come on, let's let's let's you know, come in at the come in at the founding level as a, you know, whatever friends and family investment in my company and I did and you know, he turned out to be a great guy and guy and guy and you

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know, he's a better friend of mine now because he made me money. We could put him back then, but I was kidding. He's a pretty good guy. But you know, that that that is how I got into it. It's not like I didn't know it. You know, I did know it. I don't know the theory, I don't know the physics, but you do know that we need a new source of energy from burning fuels. Right? Right? Right? And you spend all this money building massive utility scale solar farms and wind farms which are ugly as [ __ ] and make a lot of noise and kill birds. What do I care about the birds? But I do

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love birds. Let me disrespect to the bird lovers here. Right? But you know, this is another form of that which is probably easier and the next gen and all of all of France runs on nuclear. And they're not a third one. And Japan. So, So, So, I live in Japan for years. So, yeah. Nah, very nice. Nah, it's a So, it's it's a it's a little bit of common sense combined with supply and demand combined with an emerging technology that you know and and and a lot of luck. So So, so So, talk to me about this then. So, cuz I I I know strategy now. I understand it basically, but so you all we

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saw those who many don't know anything about options, but for the people that don't know what options are or how they work or anything like that, you you are selling calls. Is that right? right? right? >> I'm selling calls. I'm I'm starting off with a little some money. Right? Wait a minute. Take some money. Take some a Star Wars money. Okay? Yeah. Use your brain. That's all you got. Start with money and a whole bunch of patience and ignore everything else. Choose one company. Buy a you need to buy 100 shares or say I don't even want to buy the 100 shares cuz I'm scared. I just want to commit this capital to selling a

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cash secured put. And wait for a week. And if the money adds the premium income and I didn't get exercised, really your money for you just the cash has become slightly high. I love cash. He He's going to step in there right now. Can I cook it? Okay, guys, just came. So, so this is for one week. And if it works, works, works, sell another put for the next week on Friday if you've got a 70 to 80% gain or if you're starting off with a 50% gain, buy back that put. It's It's now it's stinging me a little bit, right? So, what's So, you're selling a put say if if Facebook on Meta is

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at 150, are you is do you sell the put at like 148 or something like that? >> Then we get the premium income. I don't do it so close because again, rule number four, don't be greedy. Rule number five. Rule number five is don't be greedy, right? I do it at a 1% or less premium based on the premium value of that option. option. option. So, whatever the premium income is, so if it's 150 is the market value of it, So, it's like you're going to sell it for 150 or something. Yeah, so if it's one if it's 1% or less, I'll set it at that or below based on where I think that share

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price is going to go for that week. Who knows? Just take care. take care. take care. 1% you're being a little bit greedy, but that's fine. Don't cross 1% is my opinion. I never do. You know, You know, You know, um 175 175 pretty safe. Sometimes if the stock really dips and you end up What's the worst thing that will happen? You'll end up holding Meta. Great, then sell a covered call the next week. But that's the flip side, right? And then December 15th, check what the net asset value is in your account for that particular Meta. You capital gains or capital loss and decide whether you want to keep dealing it because now your

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premium income is far exceeding the cost of put shares. Just Just go guys, read about wheeling. It's just like you said the right word. Wheeling is really the right word to think about, right? Like it is right, you But But I don't set the premiums at market or just below market or one up. I set them to continue accumulate wealth accumulate wealth accumulate wealth with less risk, basically. And then just about people who don't know options, it's basically selling one contract, which is the equivalent of 100 shares, and you sell that contract to some degree lower than the current price on a relatively solid company, and you will collect money, you collect a premium, you'll

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collect money. Someone's bought it from you, so you also sold them that contract on exactly. Right. Um most of the time it doesn't drop cuz it's a good company, and if it does drop you just sold it on a good cut. You just sold it. In this market environment, it drops and goes up and down each down each down each And I never I never I never ever So say for example, you're in your example, I sold the put here, but the market price is here, and by Friday the market price is here, which means I can buy that stock much cheaper. I still won't take a loss. I'll just let the let it exercise

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and keep the stock. Then believe in the company, I kind of understand it I'm using it directly or indirectly. They never take losses, which is why you don't see losses on my profile, right? profile, right? profile, right? Yeah, cuz you're going to then own the shares, which you'll then what? Sell at a profit or I sell at a profit sold. No, I'll just take the calls and do it gets exercised. And if it end of the year comes around and I owe Uncle Sam a lot of money, which I will. Okay. Okay. Okay. Just show them to take that tax loss down, right? But you got to have patience patience patience to keep going. Like

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take silver for example, right? What is it today? 73? I got exercised at 95. But dude, I think my effective cost of silver was like 30. Yeah, I mean, but if you think about it, it's almost a strategy that's con it shouldn't really lose in the long term cuz as long as you're buying, I mean, what are the types of companies that you like to go for when you're selling puts? Do you have examples of like Craig and Apple, but you don't mind owning? Right? Things that you don't mind owning. owning. owning. Yeah. It's simple as that? It's that simple as that. I don't I don't really I'm not that smart. I'm telling you [ __ ]

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things that I like owning, man. There's nothing in my portfolio I don't know actually from a I'm not the expert on it, but I can hold a conversation about the topic. Look, this strategy is not without its cons. Understand this, right? If you're here to become the [ __ ] you can dictate who, you know, has made you going to give up some upside in this strategy. Because when you when you own the stock, look, if you never get exercised, which is a theoretical impossibility, selling puts you will not own something at some point. Right? point. Right? point. Right? If you don't I would love to know what share. I mean, you just try it. I mean,

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I didn't get exercised for a while and I was like, "Oh, I'm so good." And then maybe I should take a little bit of 2% 3% premium. And then I did it and I got exercised and I was like, "Oh, my god. Oh, no." Oh, no." Oh, no." You know what? Maybe I'll just stay where I am. I know my place in life. Um Um Um but when you get exercised and when you own something, it's like, "Hey, I own Apple." I started with Apple I think if you remember correctly. Um which was like, yeah, I started with Apple I think cuz like an easy one to do. It's safe. You know what I mean?

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I will have it right now and I have a $250 covered dollar on it. Um Um Um and last year I was also experimenting with longer lens a little bit more just because, you know, these things go up and down, right? So, then when you set your call, you can decide whether I think it's going to go up, so I'm not going to set the call because I think it's like right now, for example, Ford, right? I want a bunch of Ford. Right? Right? Right? I can sell covered calls for this week because I was hoping that it's been down down down it's going to spike. And you also want to sell your covered call

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when the share price goes up, right? Cuz you get a higher premium. Right? So, you can decide that then once you own the stock. Then it's like any other regular investor who owns the portfolio. And then you, you know, you decide whether you want to take the capital gain or you want to cap the capital gain because you like the premium income coming in. coming in. coming in. Is there any There's two customer questions on this that I've got. I mean, the first one is is this strategy in any way Is it Is it able to be replica replicated for someone with a smaller account or is it like it's a 10K strategy at minimum

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or is it a kind of be a 2K strategy? >> Well, you got to find shares that you can be right to buy or take me you make sure this is interesting because some of you biotechs are low enough in price that you can buy a hundred lots. You know. You know. You know. >> But then you you'll get stuck with one that you don't want though. Exactly. I think he's Snapchat is a good one at six bucks seven bucks and it's a pretty my kids use it so I figure if the whole world's using it and I don't know why they stopped that whole little crazy but like the good one maybe you'll you

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got to find you got to find a smaller account traders it is definitely doable for a smaller account or you know, I'll say this again. You have done the hard work of talking to bunches of people online and I can clearly do that. There's another app for after hours that I will I just signed up for all of you know, curiosity. You could start by like like go to Dick Capital and just pick the next pick. You know. I know those guys well maybe I'll ask them to like send their sheet. Because they do deep issue actually buy a couple of their shares and do the swing trade. They have swing trading, you know, I

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like build a pool of like 5,000 bucks. 5,000 bucks. 5,000 bucks. On a swing trade to the market's so volatile and then you can start doing this. Yeah, but when I when I found out about the the wheel strategy it's actually been something I've been interested in a while that's like for example, if you own a stock, why would you not sell covered calls against it? Like why would you not? Because like if you own that I don't know it's like like why would you not? It's like having a vacation home and not renting it and it's just sitting there doing freaking nothing. I don't know what it is. So what's the risk man? What's

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the risk on this? Yeah, I think it's like just the question. It's really the risk is you. And your personality. Are you going to sit there and moan about oh [ __ ] that stock bumped to like 50 bucks and I had a covered call at 40 and I lost 10 bucks. Hey, it's not a loss if you haven't >> [laughter] >> [laughter] >> [laughter] >> If you hadn't owned it it's not a loss. It's a fictitious loss, right? And what happens is all the workers just put unlimited loss in some of these trades as the potential up you have an unlimited loss. If you're making profit, you're making profit. Take the profit and be happy, but

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some people get annoyed pissed off that they lost that extra 10 bucks. That's a person That's a you problem, you know what I mean? It's a personality issue. And some people just don't want to do that. You've said that you don't need to be super intelligent. You've said that it's super simple. You don't have that many rules. Just buy what you like, buy what someone else recommends from a credible source, network to find out these first picks. A credible source or credible source? You can go buy what someone recommends. Who's a credible source because everybody in a bull market is a stupid idiot. You don't know who these people are. You don't know what they

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intend to do. do. do. You don't know what they're pumping. Dude, I might be pumping my company right now and might might lose all your money, dude. You can't trust anybody until you know them, right? Or I've seen their their their spanking recognition, right? Are they credible? I'm telling you I'm making you just go to the capital, go to surrender pretty. They're amazing people. Another one called M Finance. I love that guy. Um, you know, just the three of these guys, guys, guys, you know, two on Twitter, two on Substack. One on One on One on Twitter, two on Substack. You've got a lot of patience and you seem to have a lot of discipline.

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So, where where did you get that from? Have you always had patience and discipline? Did you grow it? Did you take some massive losses? I guess when you don't want something too much, you really are not going to go after optimizing everything, right? The whole world is geared about like, you know, know, know, the key in life is to never want anything too much. If you want something too much, too much, too much, you make stupid decisions. And I can you know, it's it's easy for me to talk about this now. I actually acknowledge the privilege of sort of printing into my life for myself. But it wasn't a lot, dude. I'm an immigrant that

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came to this country just everybody know. I came here I was like a I was a janitor before when I was in college and stuff. That's how I got through college and stuff. Um, I didn't go to university in America, right? Like I came here on an exchange program and all that stuff, but it's just work hard and like, you know, be honest and like, I'm sorry. I'm not going to be someone to daddy you, but like, like, like, that's discipline. You know what I mean? Just do Don't be greedy. Don't be greedy. Oh, what you think of it? It was like you can't be always always someone better than you. They'll always have a

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bigger medal. They'll always have a bigger car or house, [ __ ] plane. There's always something better, a better brand. better brand. better brand. Uh do you think if you if you come across to America, you you you grow up with less, you just you value what you've got more cuz You know, here's the funny thing. I I've been very lucky in my life to know people who made like billions, literally. And the more money you make, the less happy you are. I've heard that. Okay. And I tell you it is it is a paradox of amazing proportions where you know, I I I I have I've gone through those phases actually and my my my my

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my my life's story was like my entire goal was here, when I buy a house and pay it off, I'll be the happiest human being. And when I put that down, I was like, "Fuck, now what?" It took me a while to figure out what's my next go to There's more fun, you know, you don't always remember, I hate to say it, in the chase than the kill, right? Like it just is. There is more fun. And enjoy the ride, right? Basically. I understand what you're saying because I've been in a similar situation 2020 2021. I had a really I had a good a good trading year where I did well and I was doing

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a bunch of advertising stuff in Dubai. And I bought an apartment, not not no grand apartment, no grand house. I bought an apartment cash. And I thought and I was thought I had the happiest person in the world. I can just live for free and do nothing. But but then then was somehow still I've still got that apartment, saved more money since. money since. money since. But I'm still like wake up terrified and I need to make more money. Like I'm scared about it. I got I got I got nervous thinking I I I need to make more to be safe. Like it it's never enough. And you never have enough of it, man. It's

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not for the ego, it's for me It's for me to get I know it is. It comes in the form of security. Exactly. Oh, it's security? Like what's that about? It's security. Yeah, it is, man. And that's a you know, yeah. And that's a source of being driven also in some ways, right? Your personality drives it. Okay, I'm a secure human being. You know, I I don't know like I think it's a it's actually great to go through, you know, you know, you know, go through like a situation of pain in life or What What's the word I'm looking for? Diversity Not diversity, but like um No, friend. No, friend. No, friend. Yeah, suffering. Yeah,

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that's right. Thank you. That's the right word, right? Because you actually appreciate it more. It's the same thing like, you know, it's like it actually makes you stronger and you can take the hits and your risk tolerance actually will increase, right? I don't think my kids will be as strong and, you know, as I am because they have a better life than I. And that's a good formula, you know, like you just that that that that instinct you have and that, you know, the hustle. That's the right word. Hustle. Right, hustle. Yeah, yeah. Adversity. That's the word I'm looking for. Adversity, right? Yeah. Because you've been through adversity, right? It's actually the most powerful driver

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of labor, right? It doesn't matter how rich you are. It doesn't matter how much money you make. You are going to [ __ ] die. And the question is are you going to die painfully or are you going to be sitting here at the age of 60, 70 and not being able to walk properly or not being able to get a nurse or something like that? And then you got to look back to what the [ __ ] was I doing in the first few months of my life, right? Dude, I'm on I'm on multiple medications. medications. medications. Like you have my You have my medication box. So, right here, you know, all my medication. I'm not going to

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but like you got to monitor just like you monitor a stock. Think about it. Your body in the pickles. What are your metrics of success? Finally, when he wants to get started in the similar strategy strategy. Do you have any kind of golden nugget, any tips, any pieces of advice for people to replicate what you've done? I have I have a really I have a really favorite board in life where winning winning winning is overrated is overrated is overrated and losing is underappreciated. But it's the power to keep going. That's important. important. important. Right? So, don't get disheartened by early losses or swings that happen. Just have a strategy though and be patient, right? right?

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right? And if you just stay at it, you'll understand it and be better next time. Young people who are dying to make a million bucks and be that trader out there, there, there, they get suckered in with the bag because people are just [ __ ] on crap, right? crap, right? crap, right? So, just please beware of on that, right? I mean like just you have to be careful about that. Yeah, and and that's just one of the main things with Kinfolk as well. That's what we try and do. And we try and like not every trade I needs to be on Kinfolk, but at least the mentor should be. If you're selling a service, like please

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at least be on Kinfolk or fully on verify how much money you don't make. If you're teaching, at least be on Kinfolk and and prove it. But you got it. Raven craft, Raven lock, thank you very much for [music] your time. I think you've passed on some nice words of wisdom, some good advice, some some home truths that people need to hear if they haven't already. And we'll call it there. Thanks. Nice, man.

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16M Trader Explains His 1-Hour A Day Strategy

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📅 Uploaded: 2025-10-09

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⏱️ Duration: 0:51:24

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👁️ Views: 13,191 (Rank #1 of 1)

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💬 Comments: 54

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📼 Playlist Progress: 1:42:48 of 0:51:24 (200.0%)

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👉 Learn more about My Investing Club: https://kinfo.com/lnk/mic

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👉 Follow Alex Temiz on YouTube: https://www.youtube.com/@AlexTemizMIC

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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Alex Temiz, co-founder of My Investing Club (MIC), has officially verified $16 MILLION in trading profits on Kinfo.

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In this episode of Transparent Traders, Alex shares the raw story of how heartbreak pushed him from making $200 a week at Starbucks to topping the Kinfo leaderboard years later. He explains how he built his $16M edge trading just one hour a day - combining precision, discipline, and deep research into what moves stocks.

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He also reflects on his time at SMB Capital, sharing lessons on risk management, mentorship, and why humility separates real traders from the rest.

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📖 Chapters:

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00:00 – Intro

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01:30 – From Starbucks barista to trader

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05:00 – Trading just one hour a day

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13:30 – Lessons from SMB Capital and prop trading

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27:00 – Alex’s take on the PDT rule being removed

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31:00 – Why Alex finally verified on Kinfo

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36:00 – Responding to haters and fake gurus

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40:15 – Breaking down trades: turning a losing day into a 20k winner

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47:00 – Managing emotions and setting max-loss rules

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49:00 – Advice for new traders starting out

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🔑 Key Learnings:

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1. Trade less, focus more - Alex trades only one hour a day for maximum efficiency.

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2. Short the hype - He looks for failed pre-market pushes and broken daily charts.

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3. Stay disciplined - Treat trading like a profession, not a hobby.

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4. Use risk controls - Broker auto-liquidation limits protect him from emotional losses.

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5. Keep learning - Even after $16M, he still studies other traders’ material.

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✔️ Follow kinfo: https://x.com/Kinfo

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✔️ Follow Alex: https://x.com/AT09_Trader

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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🔴 Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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#Kinfo #DayTrading #TradingPodcast #AutomatedTrading #StockMarket #chatwithtraders #trading #tradingbot #tradingstrategy #mallik #kinfoverified #verifiedtrading #tradingguru #jonk87 #stephenjohnson #AlexTemiz #TradingPodcast #DayTrading #ShortSelling #MyInvestingClub #StockMarket #Transparency

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You make $16 million trading 1 hour a day. Their tweets are not paying my bills, but 16 million surely is. What often inexperienced short sellers do is they keep looking for the stock that's going up and up and up that's up 5 6 7 8 100%. So, this is exactly what I'm looking for on the daily chart. And I turn this losing day into a $20,000 winning day. I've got a question that I think no one will have ever asked you before. I think a lot of people were betting on me to fail. Surely people have been asking you to be on Kinfall for years. So, why now? Welcome back. Today we're joined by Alex

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Teis, co-founder and mentor of My Investing Club. Alex has built 16 million and we're very, very, very pleased to say Kinfo verified trading profits. He's best known for shorting some of the world's worst companies in the market. And on this episode, we're going to talk to Alex about his recent verification. and he's also going to give a lot of knowledge back and go through some charts, looking at a little bit of strategy, some tactics. But first of all, Alex, how does it feel to uh dominate the number one spot on the Kinfo leaderboard? Kinfo leaderboard? Kinfo leaderboard? >> You know, it feels good. It feels good. You know, it's 11 and a half years of

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trading all culminating into one moment. So, yeah, it's really exciting. I picked up this quote um from something that you'd said in the past. He said, "Warren Buffett finds the best companies in the world and he bets that they'll go higher. You find the worst companies and you bet that they'll go lower." Uh, can you tell me a bit of like is it that simple that you just you bet on things to go down and make 16 million? Like what's the catch? >> Yeah. So, let me kind of give you a little bit of a backstory. So, 11 and 1/2 years ago, I was a barista at Starbucks making coffee. I was making around 200

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bucks a week and I had a girlfriend at the time and back then gas was expensive. It was about 50 or $60 to fill up my gas tank. Maybe to go to the movies was like 50 or 60 bucks as well. Popcorn's 20 bucks. Sodas this that. So by the end of it, maybe I had like another $50 to $80 left, right? And what ended up happening is my girlfriend broke up with me to be with a rich guy. And I was totally devastated. And I said that I have to get rich to get back at her. So I started researching the best ways to make money in America. And it was real estate and

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the stock market. Real estate has such a large barrier to entry. If you didn't have a lot of money, you couldn't get involved. Stock market, you could open up an account with as little as $500. So, that's what I did. And when I first started trading, every single time I bought a stock, every single time it went straight down, I would hit buy and it would go straight down every single time. You know, cuz we were taught back then, you know, with there wasn't really much like education or anything like that, but we knew buy the breakout, right? Every time I bought the breakout, it would go straight down, right? So, my first year, I

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lost money. And then I discovered what short selling was, which is making money when stocks go down. And I was like, this is perfect. Instead of hitting the buy button, if I just hit the short button, I'm going to be rich, right? I was like, these things already go down anyway. If I just hit the right button and it goes down, that's how I'm going to make my money. So, my first short trade ever is on a stock called VGGL. I don't know if you remember, it's delisted by now, but I shorted 2,000 shares at $4 a share. Stock went down 50. I made $1,000. That was the most money I ever made at the

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time, and I was hooked ever since. But what ended up happening is, like you said, is it as easy as shorting every single stock? I learned the hard way that no, it was not as easy as shorting every single stock. I had no process. I had no routine. I had no strategy. I was just trying to again, every time I hit buy, I would just hit short. And that's not really a strategy. So my first year I lost money trading, you know, by my second year I started to break even when I discovered short selling. But my third year I started making about $100 to $200 a day. You know, refining a strategy that was

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repeatable with your like there's a lot of short sellers in the market, right? There's something in like I don't know 2019 2020 it got popular. Everyone realized this phenomenon that if you short the worst companies in the world, they'll actually go down. But not only that, people realized that there was locates that they were getting more and more accessible. So then everyone started to do it. So how come everyone's not making money? Like what are you doing different to those people? That's a really good question. So I think what got first short selling more popular is I think everyone could relate to the fact that like stocks just go down when we buy them. I

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mean like as normal retail traders, I mean how many I could tell any retail trader out there, have you bought a stock and it went straight down after, right? A lot of people say yes. So I think it's something that's like naturally relatable. Okay, like the same way that I said, okay, instead of I if I do the reverse, I'll make money, you know, I think a lot of people start catching on to that. So what do I do differently? Right? So my strategy is very precise in the time that I trade. So I don't like trading pre-market. I don't like trading after hours. I don't like trading in the middle of the day. I

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trade from 9:30 to 10:30 in the morning. 9:30 to 10:30 in the morning usually has the most price discovery. It's when stocks are the most volatile when the range is so expanded. So I have plenty of room to make money on that range versus pre-market there is no stops. You know the liquidity is less a lot of these moves are getting more extreme. So I personally don't like trading in pre-market. I personally would much rather trade at the market open. So for me, I found that trading from, you know, 9:30 to 10:30 has been the most consistent. I found that stopping my trading after a certain time is also very very important as well. You

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make $16 million trading 1 hour a day. Like, is that is that how it works? >> Yeah, definitely. Definitely. A lot of people don't believe it. A lot of people don't like it. But the way I relate it is this. When you're at the casino, do you make more money when you're playing at the tables longer or when you walk away? Same thing in trading, man. The the thing that happens at the casino is the longer you stay, there's something called the house edge. The house takes your money over time. And in the market, the algos take your money over time. So, I discovered that kind of walking away from the market around 10:30, I've

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seen that the volume shrinks, the alos take over, and things get really choppy. So for me, I found the most profitable window is 9:30 to 10:30 in the morning. And that's kind of where I stick to my trades. trades. trades. >> Yeah. No, I think it's fantastic advice because when you think there's like the market is overwhelming for all new traders, there's too much to learn. So imagine you just focus in and narrow in on one hour a day. And it's like it's like you've got you've got 10 times the exposure to that one hour rather than looking at 10 hours a day if you recorded your screen and looked at 1 hour and over

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and over. So, I can understand how you like specialize in that moment, but what I I've been in your room and I've seen what you trade and like what I noticed was one of the strongest uh points of of your trading and teaching was you seem to know exactly what was going on. Like you seem to like know like this stock's being pumped by this room over here and oh this company's got some shares diluted and I thought he knows the reasons. Like it's like you're in Wall Street. It's like and I'm like how how do you get that knowledge? How do you know these things? things? things? >> Right. So I think that trading

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is a combination of kind of being a detective and kind of being an artist as well. You have to be a detective to understand, you know, to use clues to understand the big picture and you have to be kind of like an artist to kind of paint the picture after. So for me, if you're trading a stock and you don't know all the information on a stock, then why should you be trading it? You know how many traders I talk to that trade stocks that don't even look at the news that's moving the stock? That's number one, right? So, you should at least know what's moving the stock. Is it moving on news or is

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it not moving on news? Because a lot of these stocks move on no news, right? But if you know that this is moving on like a pharmaceutical trial and it's on phase three of the trial, that's usually for me something to step on the brakes because that has a higher probability of kind of going higher versus something else. Maybe it's a letter of intent, right? You know, I could draft up a letter of intent and send to my grandma. It's not going to really make a difference for the stock. But for me, I have to know what's moving the stock. And a lot of traders, they don't even look at the news. So, I look

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at the news, right? And then I look at the daily chart as well. Is this the type of stock that every time it gets major volume? Does it push up and come back down or does it have multi-day moves? Right? If you know that a stock is historically pushing up and coming back down, chances are history is going to repeat itself. It's going to come back down. Or another example is is the company have dilution? Right? An example that I've been given that kind of helps relate to people is like imagine there's only a hundred of these watches that exist. If the manufacturer comes out and says, you know what, we're going to start bringing

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out 2 million of these watches. It'll bring the price down. It'll bring the value down. So if you know that there's dilution on some of these names, that the company's introducing more supply into the market, that's going to bring it down as well. So, it's my job to essentially be a detective and find out truly what is the reason that the stock is moving and is it some sort of reason that warrants a move higher. You know, most often than not, if these companies partner with like an Nvidia, bro, that's very, very dangerous to short because Nvidia is the most valuable company in the world. But if you're seeing the stock is up 300%, you

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don't even know the news. You try shorting it, you get dead. But for me, if I see that and I see that they're partnered with Nvidia, maybe it's going to go to 600%. you know, so you have to be able to know what's moving these stocks is so many traders, they got even no clue what they're trading. Yeah. And I think, you know, like I think to actually trade for a lot of people, and and I'm speaking from my point of view as well, it's like it's not it's not rocket science. It's not it's not something impossible. It's it's almost like you've just got to stick to the rules and follow them. And the rules

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aren't very difficult to follow the news, to to check the dilution, to check the long-term chart, but for some reason, you can you can um treat trading like a business. >> Yeah. >> Yeah. >> Yeah. >> And everyone else can't. You can you can not get over excited think, no, no, I'm just going to I'm just going to skip the preparation this one time. I'm going to skip the research this one time cuz this stock looks like this a great opportunity. opportunity. opportunity. >> But you you don't get involved in that. And how were you treated like a business? Why did you learn that? >> Uh I mean I wanted to be successful, right? And

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in any aspect of life, like you know, I remember when I first started trading, there was a guy that, you know, would show up at 9:25 a.m. and start trading and he would keep losing money, man, at 9:20. What the hell are you doing waking up at 9:25? So I saw that person treating trading as a hobby or treating it as gambling. But I would wake up early. I would read the news on every single stock. I would read the filings on every single stock. Oh, look at the daily charts of every single stock at least 10 times before this guy woke up, right? And what ended up happening is that guy is no longer

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around and this is where I'm at. Yeah. Cuz when you think about it, you can probably say like, look, like maybe three out of 100 traders, four out of 100 traders will make it long term. But like how many tra like you teach, right? You've got a big you've got a decent sized room. MIC, I think MIC is in its eighth year now. Is it seventh eighth year? year? year? >> Seven years. you're seven years into MI. It's it's a it's a good size room. Um you teach a lot a lot of people. So like how many do you see who are really doing it right or and how many are you constantly saying no,

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you've missed that, you've missed this, you've missed that because like is there a reason 97% fail? fail? fail? >> Yeah. I mean look, I I mean I may sound a little bit biased, but the people that kind of join our community are very serious about trading. So like I don't want to be involving someone that wants to get rich quick, get Lambo or something like that cuz the reality is like trading is a sacrifice, right? So think about a doctor. A doctor has to go to medical school for like 8 years. You know, a lawyer has to go to law school for 6 years. An engineer has to go to engineering school for 5 years.

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But me as a trader, if I sacrifice even a year of learning, I mean over a certain amount of time, I've made more than a doctor, lawyer, engineer combined in one day, right? So, it all comes down to a sacrifice. And I feel like the people that are joining MIC are willing to make that one-year sacrifice to improve their trading and get to the next level. But if you're not treating trading seriously, if you're the guy that's waking up at 9:25, cuz it happens, right, it's going to take a lot longer to find that consistency and find that success in terms of like going back to when you started out. Do you feel like that

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there was anything anything kind of in your growing up or in the the way your dad brought you up that gave you a bit more of that instilled discipline than say someone like me from England who got drunk every day at 15 and not as discipline? discipline? discipline? >> Yeah. I mean the reality is I always wanted to be successful. I always wanted to have money. You know I I grew up watching all those like old school Wall Street movies with the nice cars, the nice suits and all that and I wanted that. And I started to realize that the only way that you know you get to those levels is by putting in the

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work, man. It's just putting in the work. And I always wanted to do something. But I never knew where to focus that attention to. So when I found the market, you know, I was watching videos on YouTube every single day all day long. I wasn't watching Netflix, you know, I wasn't watching HBO. I was just literally watching trading videos cuz I felt like I finally found the avenue that would allow me to focus my attention and focus my passion on something that could give me the goal that I wanted which is you know being rich and successful. >> Yeah. And did you have time in a in a prop firm or anything like that or

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I saw an interview when you were at SMB? Were you an SMB for some? >> I was at SMB trader for about a year. For about a year it was an amazing experience. Seriously. And did you you did some like um some sort of training there or some learning there in background or how come it wasn't like a three or a four or five year thing or it was just one? Yeah. So I was there for about a year and I was trading on their desk with their capital uh pretty much full-time. Uh it was actually a really awesome experience because they sat me next to the best trader I think I've ever seen in

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my entire life. His name is Shark. You know there's legends of this guy and all this stuff but he's probably the best trader and I learned a lot from him. But eventually what ended up happening is they were really serious about the traders that they wanted on their desk, right? They wanted you 100% focused on trading. So essentially they gave me a choice. They said, "Would you rather be a full-time SMB trader or would you rather be full-time MIC?" So at that moment I chose MIC and you know we still have a great relationship. I still talk to a lot of the guys there and I think that I made the right decision for myself.

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Ah right. I didn't realize. So you were you were SMB all of the way up until you decided to think, "No, no, look. I want to start this room. I want to give back. I want to start trying to teach others how to do it." >> Yeah. MIC was already around for about maybe a year. So we were kind of catching a lot of steam like growing really really quickly. So it was really tough for me to manage being you know a professional Wall Street trader and being you know a mentor. But I found a lot more passion from, you know, helping other people because, you know, for me, I selfishly like to hear that

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people find success from our help and trading is great and the money was great. And, you know, asking myself, if I was put in the same situation, would I have made the same choice now and then? I think I would say yes, I would probably made the same choice. same choice. same choice. >> Do you think there's anything that uh people will get taught at SMB Capital? Do you think there's any experiences in the prop firm that retail traders are missing out on or that you'll pass down because you know that you had it. So you want to make sure your members get it, >> right? So I think it's very spec. I think it's

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very important to make a differentiation between the professional prop firms on Wall Street and these funded demo accounts, right? A funded demo account is not a prop firm. In my opinion, that simulated trading stuff is all nonsense. This is a real Wall Street legitimate millions of dollars in the account trading that hits the market that's not demo that's not fake. So that's number one. Uh so their biggest thing there is twofold. Number one is I got to work with Dr. Brett Steamarer who's the number one trading coach in the world for about a year. So what they did is they had him on full-time retainer and I was able to see him twice a week

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for I think it was about 30 minutes to an hour. And a lot of traders there they didn't utilize that. So, I was trying to say if you're not going to use your time, I'll use that time. But working with Dr. Steam Barber was the best because he worked with Paul Tudtor Jones and a lot of traders at Paul Tutor Jones, they manage 100 million dollar portfolios each. So, here's a guy that works with a hedge fund like this that is now taking that knowledge and coming down to a little guy like us. So, I wanted to utilize that as much as possible. So, that's something in the professional Wall Street world that most traders

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don't have access to. You know, if you want to work with Dr. steam barber now unless you got, you know, $10,000 an hour, good luck, right? So, that was number one. Number two is I had a risk manager. So, a risk manager is something that's in these prop firms and hedge funds and their sole job is to make sure that risk is managed properly. So, in the retail world, you don't have a risk manager. Like, if things are going wrong, you know, the risk manager taps you on your shoulder and says, you know, what's your plan? Is everything going all right? What's going on here? And in the retail world, you don't really have that.

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And also in the same thing that the risk manager checks on you if everything's going bad, if you have a really high probability setup, if you have a setup that you consistently make money on over and over again, you could go to the risk manager and say, you know what, instead of risking $10,000 on this trade, I want to risk $50,000. Can you approve that? And if they are confident in the setup, if you kind of work with them, they will raise your risk for those setups as well. In the retail world, a lot of retail traders think that you have to use the same risk, the same size on every single trade. And that's

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just not the case. And also, I mean, I guess the final thing is, you know, being surrounded by other seven and eight figure traders, seeing how they're trading, seeing what they're trading, learning their strategies. I mean, you know, being next to Shark was probably the best experience I ever had. This guy was so good, man. Like, I would say like he would have like four screens in front of him. He'd probably be trading 10, 15 stocks all at the same time. Million-dollar positions on every single stock. You'd have a soccer game there, a football game there, and eating a sandwich at the same time. He's amazing, you know? And that was whatever like the six,

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seven years ago. Ever since then, he's gone on to make, you know, gazillions of dollars. You know what I'm saying? So, he at that level, he was unbelievable. And years later, he became even crazier. But like uh what's what's the difference between say uh a losing trader and someone like you who's making six going on to well making seven going on to eight figures or more than eight figures and then someone like Shock like is is there like a mental difference between those three levels. So yes, there definitely is. So, the thing about Shark, and this is that I mean, he's very private, so I'll kind of keep it, you know, a little bit low-key,

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but what I saw him do better than anyone else always, is when he was wrong on a stock, he would market order himself out every single time. He wouldn't think about it. He wouldn't wait for a dip. He wouldn't say, "Oh, let me check." If he was wrong like that, he was out. That's it. There was no guessing. There was no waiting. There was no nothing. Out. And he just got back in after when it confirmed. That's number one. And number two is he was obsessed with trading. He was always early to the office. He was always late to leave. He always did a daily report card. He always put in the work, you know,

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and for a guy like me, I mean, I get a little bit lazy, man. You know, instead of the weekends where, you know, I should be making a daily report card and reviewing my trades, I like to have a nice drink. I like to watch a little bit of TV. So, that's a sacrifice, right? I sacrifice putting in less work, maybe making a little bit less money, cuz that's not what I want to do. I'm not here to make, you know, 20 $30 million in a year. That's not what I'm interested in, right? Cuz that requires a lot of work and a lot of sacrifice. I'd rather make two three $4 million and just enjoy

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my life. So that's the sacrifice that I made. So what it goes down to a trader a little bit lower profits than me is maybe they haven't made the sacrifice of waking up early. Maybe they haven't made the sacrifice of tracking their trades. Maybe they haven't made the sacrifice of, you know, learning and know seeing other opportunities. So it all comes down to a sacrifice. How much are you willing to sacrifice to get to where you want to be, you know? Yeah. And uh one one thing that clicked with me and I can just be brutally honest, like I used to think that I really wanted trading and I I wanted to I wanted to

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make it and um but I never wanted it as much as these guys who are willing to go to Puerto Rico and just start up in an office and and trade with nine other guys. Like I never wanted I would never wanted it that bad. I wasn't going to London and being like where's the trading room so I can be with eight guys who wanted as much as me and trade every day. And I think like not many people are like that. It's like one in a 100 people like that. You ended up in SMB. A lot of guys are in rooms, but then out of those rooms, they're like they'll go in offices because

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being in a room's not enough. They want to be in a room and they want to be in an office, >> right? I mean I mean you have to it's you are who you surround yourself with, right? If your five best friends are alcoholics and ptheads, you're going to be an alcoholic and pthead. But if your five best friends are exercising and eating clean, you're probably going to start exercising and eating clean. So you are who you surround yourself with and I think that having a good trading community is very important but you know I mean obviously there's nothing like a Wall Street hedge fund where these guys are you know actual professional level traders

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but also not at SMB. SMB was great, but I'm sure a lot of these other places, some of these guys are right? You know, I never had that experience at SMB, they were all really, really nice, really, really easy to talk to, but often times, even if you're in the right room with these people, they still might not be, you know, nice people. Yeah. And look, and I'm sure people are good people generally, like people who are millionaires and they're starting to have a little bit of free time, but like they want to give back. Like generally, people are good people. And I'm sure even for you, like if you see someone grinding, grinding, grinding,

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working harder than everybody else, you're going to you you'll reward them with your time a little bit, right? You'll give them a little bit more. >> For sure. Definitely. >> And I I think that's that's that's the key lesson for anyone who's who's who's trying to make it. And that goes for everything in life. It goes into having a marketing business. It comes with having a a company where you're so close and whatever like whatever you put the most time in and it generally works. But going right back to the start for you, like what did you start with? It's the most common question I get on Kim for when I tell people, "Oh, he

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made 16 million." Yeah, but he probably started with 10. So like what was what was your number that you started with? That's funny. So back when I was at Starbucks, you know, I was making around like 200 bucks a week. When, you know, my girlfriend broke up with me, I would have like, I don't know, call it extra thousand a month. So pretty much every single time like I was making a paycheck, I was just kind of putting into the market. But I blew up account after account, account after account. Like I stopped counting after like 10 15 accounts. They're small accounts, you know, 500,000 gone, gone, gone, whatever. What ended up happening is I

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I had to start taking this seriously, right? And seriously means you got to have skin in the game. If you're keep refunding your account with a couple hundred dollars, you're just going to get into this doom cycle, right? What's the definition of insanity? The definition of insanity is doing the same thing over and over again expecting a different result. I was being insane. I was doing the same thing over again and expecting a different result. So, what I did is I sold the rims off my car for $2,000. And that was my last shot. And I said, "Dude, if I can't if I can't make it, I have no car. I can't drive. I can't

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do anything." Back then, they had these overseas Bahamas brokers, which are really not even around now, that let you bypass the PDT. I took that $2,000, I put it in an offshore Bahamas account and tried to grow that 2,000. And my goal was to grow that to, you know, like 10,000 to then put it into Interactive Brokers, right? Eventually, what ended up happening, uh, 10,000 to put into Interactive Brokers, but they had better borrows. And then eventually I would move that to like a Cobra or, you know, one of these like higher echelon brokers. Eventually, what ended up happening is that $2,000 I was able to grow to 25,000. Thankfully, I was able to wire

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that money out, bypass Interactive Brokers, move that money to Cobra, and actually, I think I have a screenshot somewhere, and I'm sure I could kind of send it to you. Is I was actually I think Cobra is like fifth or sixth customer ever. I don't know if I have the time to pull it up, but let me see. It might if it's handy, I show you. You can send send us it and I'll I can I can put it up on the screen as well. >> Right. So, yeah. I mean, that's that's kind of what ended up happening. So, my last chance was $2,000. Uh, sold the wheels off the car and u the rest

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is history and I'll send you that as well. But like do you feel do you feel like are you the type of person that whatever they're going to do, they're going to do like 100% and 100% effort. So like you're in Starbucks like making the best coffees ever like putting 100% in that this is going to be the best mappuccino of all time. Like is it is it like pride in everything or pride in what you love? >> Yeah. I mean here here's the thing. my before I discovered what the market was and discovered what that, you know, world was like, I was just like, I'm a pretty damn good barista, man. Maybe I'll open

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like 10 15 Starbuckses, right? That's what I thought. Maybe I'll just be like some sort of Starbucks like franchise guy cuz dude, I know guys that own like 50 Dunkin' Donuts that are millionaires, right? So, I was like, "Oh, like maybe let me just be probably the best Starbucks barista. There's like a certification course where you could become like a certified barista. So, I'm an official certified barista. I could work at any Starbucks around the world. Uh, pretty much, yeah, I mean, if I'm into it, it's all or nothing, right? I have an obsessive personality. I have an addictive personality, right? I can't do drugs. I can't do anything like that cuz I'll get addicted.

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But I'd rather be addicted to my work and addicted to making money. So, as soon as I discovered that this world exists and this world is possible because for the longest time, man, I thought that the way to get involved in the market is I could just buy and hold, right? That's what Warren Buffett does. Buy and hold. You buy and hold, doesn't move, right? So when I discovered day trading and being able to be in and out of a stock in like a minute, I was like, "Holy cow." So once I kind of discovered that, I became obsessed with that. And that's why I started learning and improving. And even to this day, you

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know, 11 years in, $16 million in profits. I'm still learning. I bought Lance's course. I watch all of Lance's YouTube videos. Here's a guy that's made, you know, gazillion more dollars than me that's putting out the info out there. I'd be stupid not to watch and not to learn. So even at this level, no matter how much I've made, I am still learning. I'm still improving. I'm still putting in the work, you know? And when you're trading, you're trading against a guy like me, right? I'm on the other side of the screen, right? So you have to be putting in more work than me to be able to beat me. I've got a question that

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I think no one will have ever asked you before. And the reason is is because the news has just come out. Uh PDT, finally we're looking at removing the shackles of the 25,000. Is it coming down to two? I think it's I'm hearing it's coming down to two. Is it 2,000? Yeah. Uh what's your thoughts on how this is going to impact the market in the years to come for day traders? traders? traders? I think that here's here's here's why they're doing it, right? So the market has now become the casino. And what I mean by the market has become the casino is the market makers, the brokers, FINRA, SEC, they start to realize that

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first if the market is open 24/7 instead of 8 hours a day, they're going to make more money in fees. If they start to allow, you know, uh all day trading, they're going to make more money. Now, the next barrier to entry is instead of having three day trades per 5day rolling week with the PDT rule, now you're going to get these guys trading all day in out 24/7 making money. So, in my opinion, this PDT removal will help SEC, FINRA, brokers, and all these other people get rich off the fees. They're going to be swimming in money. What does it mean for traders like us? More activity, more volatility, and more market participants. So,

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I think that we're going to be certainly entering a level of stock market boom because think about it, crypto doesn't have a PDT rule. People are trading crypto all day long. It's a very liquid 24/7 market and the crypto brokers like Coinbase are making so much money off all these fees. So, I think a lot of the people on Wall Street are starting to realize that wait a second, like let's turn the casino on 24/7. Let's turn the machine on 24/7 and let's get these guys that want to trade all day long to trade all day long. No more three day three trades in a fiveday rolling period. Let them go crazy, man. So, for

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a professional trader like me, I welcome it, man. I want all these, you know, people to start entering the market. I want all these people that don't know anything about the market, that don't know anything about trading to start trading these things because a shark like me is going to gobble up all their money. You know, know, know, >> I remember the the good times of um the stimulus packages and um and when I think it was Joe Biden was throwing a bunch of money at at Corona virus and paying people to stay off work. The last like maybe the last year or two it got a bit slower in the bare market and now

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we're looking at the removal of PDT and all of the maniac could happen again. So like how are you navigating between hot market cold market hot market? Do you know what I mean? How how are you controlling yourself? controlling yourself? controlling yourself? >> Yeah. So I mean I'm welcoming it, right? I'm welcoming it because the way that I related it to other people in the community is imagine you're going to a poker table. You know, when you're at the poker table, if you don't know who the idiot is, it's probably you. And what happened during the pandemic is so many idiots were coming on to the poker table not knowing the game, not knowing the

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rules, and all the sharks just ate up all their money. So, I think a similar thing is going to happen here where, you know, we have a market that's being fueled by AI. We have a market that's being fueled by lower interest rates. And how we have a market that's being fueled by, you know, no PDT. I mean, it's just going to introduce more participants. The more participants that get introduced, more liquidity happens. You know, when there's more liquidity, I mean, at the end of the day, that's what the market structure is based on. So, I think that again, we're in for at least two, three, maybe even five years of just unbelievable trading action.

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And if I'm completely honest, I want to make so much money these next two, three years I never have to work again. No problem with with with >> how's how's are you are are you incorporating AI much into your trading or your strategy or anything like that? >> Um in my trading and in my strategy not really to be honest but I'm using it in my daily life you know I'm you know I asked uh I use chatbt most of the time I have the premium subscription and I ask it probably about I don't know 5 to 10 prompts a day. So five to 10 prompts a day is about, you know, 300 prompts a

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month. 300 prompts a month is almost close to 3,600 prompts a year. So I'm asking all types of questions, man. All types of questions just to become, you know, smarter. But in my trading, I haven't really found a reason to use it yet. Um, because there's so many tools out there. I mean, I I know how to read these. I know how to read the news. I know how to read the filings. I know how to read a chart. Well, for me personally, I haven't really found much use of it in my personal trading. And if anyone's been using in their trading successfully, I mean, hit me up. I would love to learn more. Very

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nice. I like that attitude. Right now, moving into Kinfo, I'm sure a lot of people will be curious. I mean, it's it's a funny thing, Kinfo, because um it's something that started off smaller. It's grown bigger and bigger and bigger. I'm I'm super pleased to be part of it. I'm super pleased to see you've become part of it as well. But, um why why now? Why after all these years? Because the last couple of years, I know Kim for been like growing and stuff like that, but and but surely people have been asking you to be on Kimfall for years, so why not? Yeah. I mean, so I post all my IRS broker statements on

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my website. So every single broker statement that I send to the IRS, I post on my website. So I've been doing that for years and years and years, right? And it doesn't matter whether you post broker statements. It doesn't matter if you live log in. It doesn't matter if you're live trading. People are always like, "Oh, it's fake. It's fake. It's fake." Right. And eventually I kind of just got so fed up with everyone saying that it's fake that I said, you know what, like screw it. Let me start uh verifying on Kimo. The problem was that I had brokerages from six, seven years ago that I lost access to, right? Even think about the

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offshore broker that I first started with doesn't even exist anymore. I lost all my loginins. Uh some of these brokers are not around anymore. So for me it was always a little bit of a headache to try to get access to all these old accounts because the way that Kinfo works is you log into your broker backend, right? You're not uploading a statement. You're not, you know, sending them anything. You log into your broker back end and the same trades that are reported to SEC and FINRA is what Kimfo is using for verification. So the verification process is very thorough. But I didn't really have my login. So you know I was like, you know

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what, screw it, man. I'm like, let me just actually go through the work, contact all these old brokers, reset the passwords, find the security codes, and do all that. Eventually, when I got all those login back, I uploaded them all to Kinfo and became the number one trader. And it's a beautiful thing. And congratulations on on being on the top. You may actually not know this, but I never wear a shirt to interview people. This is the first time I've ever wore a shirt on the Kin for podcast. And I wore it specifically because uh as a as a token token of of respect for you for for you being number one for you being

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number one taking my shirt off >> but um and like now now that you've kind of of of now that you've I'm just curious in general before and even now do do you think that what's your thoughts on on others in the industry because we're both in the industry a long time. we kind of have an idea of who who has made the money and who might not have made the money. Like do you think that like it should be something where people should verify? Because like if you're teaching people, you should at least be able to do it yourself. What's your thoughts on that? Or do you think someone could just be a good

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teacher who hasn't made money? Yeah, I mean look, if you have an educational program, I think it's a great idea to do it because it only reinforces the fact that you are successful and you are professional. But I know so many traders that make maybe more money than me that are horrendous teachers. And then I know traders that make a little bit less than me that are maybe great teachers. So it all depends on what you're looking for. I think if you're definitely selling an educational program, you should certainly be verified. I think it only helps uh prove your case. But at the end of the day, if a customer doesn't want to go through

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the due diligence of who they're signing up for, that's their mistake. That's their problem, right? You know, I've posted broker statements for years. I post live trading videos for years. I now have Kinfo verification. And you know what it is? I hear the craziest stories now. They say, "Oh, the only way you start, the only way you have 16 million is you started with 10." I started with 10 or now like, "Oh, now please go get audited by the big four auditing firms." Talk about the big four and bro, these guys haven't made a dollar, right? So at the end of the day, you know, I'm doing this verification for myself as an accomplishment of

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all my hard work. It's almost like a token or trophy of, you know, all the progress I've made over the 11 years. And if people, you know, still don't believe it, if people don't like it, at the end of the day, you know, I'm the one being here interviewed where there, who knows where they are. So, you know, my goal here is to lead by example to show people that, you know, 11 years ago, I was a broke guy at Starbucks making $200 uh a week. Now, you know, my commissions are more than $200 a day. You know, I completely understand where you're coming from and for some people it will never be enough. But

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I suppose I can't really act on 100% but speak for Ken for I'm the man on the podcast and but I'm sure for for Keno in the community like everyone's like really pleased that you've took that step. I upset a lot of people. A lot of people didn't think it was real. The amount of people that reached out to me and said so and so can't believe that this is real. Oh my god. like you have no idea what you did. I think a lot of people were betting on me to fail. A lot of people were betting on me to not be real. And I think we broke a lot of hearts unfortunately with

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the verification. >> For me, there was there was no doubt because I've been an MIC in the past. So there was there was no doubt that you were legit because I've seen you trade. But um and I knew you'd made a lot of money. I just didn't know how much. But um um um >> but yeah, it's for a lot of people who might be upset. But but no but thanks for everyone at Kin for that you you've definitely our mission is to help bring more transparency to the industry and you've definitely you've made a big step forward of that and on that on that subject uh Guru Leaks is one of those people that

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likes to spread a lot of hate and spread a lot of and sometimes Guru Leaks kind of has the right message and the right meaning. Do you know what I mean? It's sometimes it goes after the wrong people. Do you have any message for them? Um, you know, these people have been going after me and Ba forever since we started trading, man. And at the end of the day, you know, it must be a really sad reality to, you know, be living a life where you have to bring other people down to make yourself feel better. But at the end of the day, I guess my message is their tweets are not paying my bills,

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but 16 million surely is. is. is. And and then do you have any kind of a favorite other trader, a favorite guru? Do you even have a favorite furu, someone who is like such a ridiculous fake, but it's like funny? Well, the So, let's start with the furu. The biggest fur right now are the forex and futures guys. Man, these forex and futures guys are driving Bugattis. They got cons. They got the craziest I've ever seen because they don't make money from trading. They make money from the broker deals. They make money on the simulated demo accounts. So, any of these I've been trading 11 years. I've not met I have not met one single

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legitimate forex trader in my entire life ever. Ever. So I think a lot of the Forex futures guys are the biggest scammers out there. If you see them driving Bugattis or Konex multi-million dollar cars and they're 22 23 years old, I mean there's no way that they're I mean it's impossible. I'm telling you it's impossible. So they have other backend deals. And as for a guru that, you know, I really really like and, you know, really kind of uh getting along with lately is Tim Sykes. Man, Tim Sykes started off by being that guy where he was with the Orange Lambo and, you know, kind of going after all these people, but you know, at

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the end of the day, I've met Tim. He's invited me to his villa multiple multiple times. It's almost like he's just marketing, man. He's great at marketing. So once you get to know the real Tim, all he likes to do, man, is talk and eat. So that's that's who he is at the end of the day. He eats the best food and he just talks a million miles a minute and he's a great guy. He's one of those guys where he's extremely rich, extremely wealthy and is still kind of willing to, you know, send the elevator back down. I know he donates a lot of his money to charity. I know that uh he's helped

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the community in a big way. And I first started off being a Tim Sykes guy, right? Because that's who was the pretty much the only guy out there. So in the beginning, I kind of didn't really understand that it was marketing. I was young. I was a little bit naive, but now getting to know him, I learned that he's actually he's a trading addict, man. He's just doing what he loves, which is trading, making money, giving back, and eating. eating. eating. Now, I can touch on that, and a lot of people might say with Tim Sex, a he's remember Jordan Belfad asked him this in an interview. He's like, "Are you just doing this charity

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stuff just like just for marketing? Are you just doing this charity stuff like just to just to look good?" But I was actually I had the privilege to be with him cuz I was doing something for a broker that I work with and and he was giving back to the same charity and what we were in um we were in Colombia in Colombia in Colombia with Edu trades. You might have seen some footage with Edu trades uh Sang Luchi a couple of others and and and those guys did donations to open a school and when you're actually part of the group and you see the process I don't know if you've ever done done anything

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like this with them but like when you see the kids in the open the school you're like nah this shit's real like this is it's not it's actually these kids are getting better lives >> certainly for sure >> and uh if you don't get it if you I'm sure you you'll get a chance to do it if you haven't already but um the next thing for me would be for you to to take a look at a couple of your trades. I don't know if you can um are you okay to screen share? You see this? >> Yeah. Perfect. Okay. So, this is a trade that I took a few days ago. So, this is

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IPDN. So, a scenario like IPDN is exactly kind of what I'm looking for in terms of my process and my strategy. So, let's kind of really quickly go through what that process is again, just so it stays kind of fresh in people's head. Um, so first things first, I wake up early, 6:00 a.m. And when I wake up, uh, first thing I do is I check my phone, see if the markets are gapping up, gapping down. Trump's kind of crazy, so he might say some crazy stuff. So I want to see what's happening. I go, I make a espresso because I'm not functional without my coffee. Turn on my computer, get to my desk. When

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I'm at when I'm at my desk, the first thing I do is I check the top percentage gainers of the day. I check which stocks are gapping up the most on the day. After that, I read the news. After that, I read the filings. After that, I look at the daily chart. What I'm looking for on the daily chart is I'm looking for stocks that gap up and gap down. They wick up and they wick back down. So, you know, I'll show some examples of what that looks like uh as well. So, give me a second. So, this is exactly what I'm looking for on the daily chart. I'm looking for stocks that are gapping

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up and coming back down. Gapping up and coming back down, gapping up and coming back down, gapping up and coming back down because history tends to repeat itself, right? So essentially once I see a daily chart that has something like that I know that history is probably going to repeat itself. So when that happens my next thing to do is to look at the pre-market action. When these stocks are trading pre-market what I want to see is I want to see a push up and kind of come back down. So that tells me that it's a failed push or a failed move. What often inexperienced short sellers do is they keep looking for the stock

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that's going up and up and up that's up 5 6 7 8 100%. But the problem is if the trend is intact, they could still keep going higher. For me, I'm looking for stocks that are broken. I'm looking for stocks that, you know, have failed pre-market after a big initial move. That was an example of IPDN. So, IPDN was a broken stock. I don't really have the full chart here. I could kind of send it to you, but what ended up happening is stock ended up breaking down pre-market and it bounced at the open. So, I saw some resistance here. So, I started to take a first initial starter in the 460s and 470s. And

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these days, I don't really want to add unless the stock is confirming. I don't want to add unless the stock is telling me that it's a proper time to add adding on a confirmation. So, I drew a resistance line around the $5 mark cuz $5 was resistance from the pre-market. And also, it's a whole dollar number. Oftent times, whole dollars and half dollars are automatic support and resistance. So, I added a little bit here at the $5 mark. And then we got a death candle on volume. The highest volume bar of the day was the death candle. This to me signaled a trend change. So when that trend change added to the winner and covered

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all the way down and this was a $18,000 trade. So really doesn't take much. But that's probably an example from 3 days ago. Are you looking at the news on that? Are you must are you check what's the full story there? Is there some news that you're considering or considering or considering or >> Yeah. So the yeah, I saw the news and the news didn't really seem like anything interesting to me. But what was most interesting was the fact that it pushed up pre-market and failed. All I'm looking for is these stocks have make a first initial move and failed that initial move. Once they fail that move, these stocks are mostly based on hype.

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You know, they're not really based on anything else. I mean, this is another example here. Not anything too large, but so this is another example from four days ago. So the stock pushes up to my resistance area around 850. As soon as I see that fail, I take my first initial short starter. But obviously the stock was going against me. So I stopped out. Stopped out for a small loss when I saw once again the death candle on elevated volume. I re-entered the stock short, covered on the dips, and this one was a $1,500 day. Right? So, I didn't feel as comfortable on this stock versus the other stock because this stock had a little

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bit too much range. It was kind of up, down, up, down, up, down. So, I felt a little bit uncomfortable trading this stock. So, that's why I sized up a little bit less and, you know, did what I did. Let me see if I can find another one. Do Do you think cuz like when when I say this, I'm sure when other traders say this who short sell or have experience, like it's kind of basic, right? It's kind of simple like it's it's a broken chart. It's a a chart with a history of of failing after after one day. It's already failed in the pre-market ramp. You shorten the bounce >> and that's it. If

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it if it's got too much range after a day, you're more careful. Like that's that's literally Is that literally it? It can't be. There must be more. >> There must be more. >> It's as simple as that. I mean, here's another example that was a little bit more difficult. So, this was from nine days ago. So, this was a stock similar type of scenario, SPRC. So, I've traded this stock multiple times in the past and it fits the same criteria that I'm looking for. Every single time it pushes up, it tends to fail. So, this SPRC was broken down pre-market and it was started to bounce aggressively. So, I took my first initial starters here.

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When it looked like it was failing VWAP, I added a little bit, but wait a second, it was holding a little bit. So, I stopped out for a loss here and then it started to bounce back up. Waited for the fail candle. Wait a second, it pushed up again. stopped out again. So, twice I took a loss on this stock. I stopped out here for a loss when it continued and I stopped out here when it continued. But when the stock failed, when I saw a big death candle on elevated volume, when I saw a lower high and another death candle through VWAP, I reshorted, added to the winner, and I turned this losing day

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into a $20,000 winning day. So, that's pretty much what I do. I remember saying this. I I've saw these examples of trades that you were making a couple of years. The example a couple years ago I see the examples of the trades that you're making today are kind of the the same. I don't I don't see anything different to what I saw a couple years ago. Is there much that's changed for you in the last 8 years? >> Um the only thing that's changed is pre-market trading. So back in the day I used to scalp around premarket, but premarket is a little bit too dangerous to short these days. the moves are so substantial, the

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moves are so aggressive, there's not much liquidity, so the range is ever expanded and you can't use uh stops, stop orders in pre-market. So for me, pre-market is very very risky. So I've pretty much eliminated most of my pre-market trading and focus mostly on the first hour of the day. And also by eliminating that pre-market trading, I give the stock time to form its pattern, right? with as much information as you have at the open is very different than the information you have pre-market. Pre-market, the chart is still forming. The pattern is still happening, right? But at the open, you have the data from pre-market to help you determine how to trade it. So, I

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found that trading at the market open, at least now has been the best thing as a short bias trader. As a long bias trader, pre-market is amazing for going long. Yeah, I think other than some questions for beginners just to kind of close out on the the final question from my end is more how how do you manage your emotions when that one stock goes too far? And and it happens to everyone. Like I know guy I know a guy who's made 10 million and he and he just lost half a million the other day cuz he just got sucked into it. it. it. >> Yeah. I mean at the end of the day what

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I've learned is the market is always right. So you will never meet a successful trader who's not humbled. Why? Because a the market humbles you as you become a bigger trader, right? The only way to level up in trading is to be humbled by the market. So if you see a trader that's kind of braggadocious, that's kind of got a big ego. Chances are they haven't been humbled by the market, which chances they probably aren't a real trader. So most of the traders that I've met that are multi- seven, eight figure traders are all humble. They're all humble because that's what the market taught them. So that's number one is leave your ego out the

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door. Number two is I go on tilt just like anyone else. But what helps me is a broker limited stop, right? So it's a max loss auto liquidation, right? So when I first started trading, no one was talking about this I didn't even know that it existed. So for me, you have to set a max loss autoquidation to no more than two days worth of your trading. Why? Because let's say you make a $100 a day, you should set your max loss autolidation to $200. Why? Because on your worst possible day ever, it'll take you only two days to make back your money. What people do is they make a $100 a day. They set

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their max loss auto liquidation to five grand. Takes them three months to make it back, man. It makes no sense. So, you have to see what your numbers are and set your auto liquidation to that so that on your worst possible days, you're not losing more than two days worth of work. So, having the broker limited risk management is my version of that risk manager kind of tapping me on the shoulder. you know, for new traders wanting to get in, do you recommend a period going long a little bit first before they go short or learning the basics? So, I mean, look, the reality is like I think education is number one. If a guy

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like me has made all the money that I've made, I'm still paying for education. I'm still learning from other people. I think that's number one. You know, going long is very difficult as well because you never know which one's going to go parabolic and which one's going to crap out. But, you know, most of the time you know that when a stock is broken that a stock is broken. So, I would say certainly start with maybe going long pre-market. Wake up early at 4:00 a.m., right? Sacrifice cuz a lot of these moves are happening at 4:00 or 5:00 a.m. Wake up at 4:00 a.m. try to go long premarket to build your account. And I

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think eventually like transitioning over to shorting. I mean, that's, you know, even to this day, you know, I'm still buying stocks and they're still going straight down, man. So, I I found my niche, which is shorting. That's kind of what I'm good at. But other traders may find that they're better at uh going long. They may find that they're better at options. they might find that they're better at large caps. So, at the end of the day, you just got to get started and always start with like a paper trading account because you're going to lose money when you start no matter what. So, you might as well lose fake money while you start. You

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know, I don't think anyone should be starting with live money until at least Dave, you know, at least been somewhat consistent because if not, you're just going to burn your money. Makes no sense. Spend that money on the education. education. education. >> Yeah. And any other final uh I appreciate having you on. I didn't I wasn't sure if this day would come. I would would be speaking to you live on Kimo. It's fantastic to uh to have you to have you here. Do you have any kind of final final words or final thoughts to to close? >> No, I mean not really. I mean, what I've been doing now is I've been posting live trading

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videos on YouTube. So, like my YouTube is YouTube.comextMIC or Alexteismic and I just post a new live trading video every week. So, those trades like that SPRC trade where I made 18,000, I recorded it live and I put that on YouTube so people could see that as well. All right. Uh, thank you very much, Alex. You you topped the uh the Ken for leaderboard with 16 million. Congratulations. Well done. And, uh, have a great day. Thank you, brother. Thank you. Thank you. Thank you. [Music]

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26 Year Old Makes $1.5 MILLION Starting From 1 Share A Day

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📅 Uploaded: 2025-09-25

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⏱️ Duration: 0:59:03

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👁️ Views: 17,625 (Rank #1 of 1)

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💬 Comments: 61

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📼 Playlist Progress: 1:58:06 of 0:59:03 (200.0%)

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👉 Check MightyStocks performance on Kinfo: https://kinfo.com/p/MightyStocks

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👉 Learn more about the Merciless Markets trading community: https://kinfo.com/lnk/mmu

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👉 Merciless Markets on YouTube: https://kinfo.com/lnk/mmuyt

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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Marcelo, aka MightyStocks, went from trading on a laptop in El Salvador to trading on the floor of the NYSE. He blew his first $3K account, spent years in a simulator, and even traded one share at a time to prove consistency. Now, at just 26, he’s up $1.5M in verified profits on Kinfo.

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In this episode, he breaks down the exact process behind his hyper-scalping strategy: how he reads tape like a roadmap of fear and greed, and the step-by-step setup he uses to capture short squeezes right at the apex moment.

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📖 Chapters:

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00:00 – Intro

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00:33 – From El Salvador bedroom to NYSE floor: meet Marcelo

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05:30 – Two years grinding in a simulator and saving money

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10:00 – From trading one share a day for consistency to finally scaling up

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14:30 – Hyperscalping & tape reading

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23:00 – Mastering Level 2 and apex moments

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26:55 – Kinfo chart - breaking down his $1.5M profit curve

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32:30 – Quantum trades & holding through fear

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37:00 – Dip & Rip strategy explained live

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54:02 – Why terrible stocks make the best longs

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55:30 – Charles Schwab bans scalpers & Merciless Markets: Marcelo's trading community

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58:10 – Final advice

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🔑 Key Learnings:

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- Process over profits – Marcelo spent years focusing on consistency, not quick gains.

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- Level 2 mastery – Tape reading became his ultimate edge.

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- Record everything - screen recordings were vital to his learning.

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- Dip & Rip setup – He thrives on short squeezes after halts, buying the apex moment.

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✔️ Follow kinfo: https://x.com/Kinfo

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✔️ Follow MightyStocks: https://x.com/Mightyscalper

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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🔴 Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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#Kinfo #UndiscoveredTraders #DayTrading #QuantTrading #TradingPodcast #AutomatedTrading #StockMarket #smallcap #largecap #chatwithtraders #trading #tradingbot #tradingstrategy #mightystocks #scalping #scalpertrader #kinfoverified #verifiedtrading #tradinginterview #tradingguru #jonk87 #stephenjohnson

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You made a million dollars in a year and you're 26 years old. >> It is insane, but it is exactly how my vision said it. It's never about indicators or golden strategies. It's not even even ever about charts. >> Like are you like a master of Apex moments? moments? moments? >> Check the time that it got halted at 10:21 and then you add 5 minutes to that. That is the time to buy because that means that and then check that out. made like $5,000 on that second. It was either this or I I was going to die trying. die trying. die trying. >> Today we are talking with Mighty Stocks who went from trading on

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a laptop in his bedroom in El Salvador to being invited to the floor at the New York Stock Exchange. He started out with a 3K account, blew it, but over the last three years, he's racked up 1.5 million in profits, all third party verified on Kinfold. We're going to be diving into his profit curve and looking specifically at his signature long dip and rip strategy. And for that, I know you guys like value. I said in the comments, we're going to look at when he gets in, when he gets out. He's going to be running us through an entire video and other than that just getting to know the man behind Mighty Stock. So for

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those who don't know anything about you, how would you introduce yourself? >> Perfect. Thank you, Stephen. Well, a brief summary of who I am. I am a small cap momentum day trader. Started day trading during the pandemic like everybody else. Had a lot of struggles. Was one of the guys that didn't really get it at first. took me 3 years of absolute pain and failure. Turned the corner at the end of 2022 and I've been living on I've been living from the markets ever since trying to grow my accounts, trying to increase my shares and take a little more risk. >> Man, it's it's absolutely uh it's absolutely crazy. So, I mean, you're in El

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Salvador. You started in your bedroom 3k account. Can you just walk us through kind of the start and and and what happened there? happened there? happened there? >> Yeah, for sure. So um long story short, I was an im an immigrant for a large portion of my life. When I was a teenager, I was sent by my parents to Canada and try to, you know, try to find a better future for myself. Um in there, I was with a hustles hustlers mentality. I was in this mission of trying to become successful. Didn't matter the cost. And within that drive, of course, I was looking for side hustles, things that I can make money from, things

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that I can flip, businesses that I could start, whatever was the hot side hustle at the time, I was on it trying to make a name for myself, trying to make, you know, something out of this mission. I was sent as a teenager away from my family. I was focused. I had to make it work. I had to essentially live my American dream, my Canadian dream, whatever it was, right? So looking on YouTube like everybody else, how to get rich. Of course, day trading is one of the most popular, you know, business ventures to pursue. And during the pandemic, everybody was stuck at home and, you know, it became very popular to start trying to

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trade. Of course, I started seeing people like Ross Cameron, Ricky Gutierrez, Tim Sykes, all these guys saying that that they're making $10,000 each day, $15,000 per day. And of course, you know, somebody that has a negative net net worth and try to become someone, I was I was, you know, I was hypnotized by it and I wanted to learn what it was. So, at the same time, I was also go I was also going to school. I uh I graduated with the finance major a few years ago. And I was also learning about investing and and how to find stocks, not to trade, but how how to find good companies and and well well-versed portfolio

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so you can put some savings aside and start building your capital for your retirement, how to diversify portfolios, all that good stuff. And from there, my algorithm literally like started flooding with day trading videos. How to make money in the markets, how to make money in the in in the financial markets, how to find stocks to trade, where to buy, where to sell, which are the best patterns, all that. And something I I'll admit was I was a course buyer from the beginning. I I'm a big believer in education. I knew that most information is free out there, but again, I wanted to shorten my learning curve. And I was doing pretty much whatever it

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took for me to become a consistent trader. So I joined Ricky Ricky Gutier's course at the beginning. I started doing a little swing trading, a little of ETF trading like he used to do back in the day. Um that wasn't quite successful. I, you know, lost some of the savings I had. I was trading in Robin Hood, but like $100 cash account, so wasn't that big of a deal. Then I found Ross and I wanted to be like Ross and I wanted to trade small cap momentum stocks, these magic stocks that are going up hundreds of percent each day. So I went ahead and told myself I am better than everybody else. I will be

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one of the ones that get it instantly. So I took all the savings I had, which was $3,000 at the time. I went ahead offshore because of course nobody has $25,000 to fund an account over PDT. So I'm like, here I come, grow. I'm going to grow this small account into a million bucks in a few months. Watch me do it. And of course, like everybody else, I very quickly blew that account. And you know, that's the that's the moment in which most traders quit trading forever. You try to get rich quick. You don't take the you don't follow any methodical strategies or blueprints, but instead you try to be a hero. You blow it

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all at once and you're out of the market discouraged forever. And I also genuinely believe that's why the statistics of successful traders is so awful because most people quit after month three or after their first red trade or after their first awful experience. So that's where I should have and and that's what I should have and could have quit trading forever after I blew $3,000 which was everything I had. Um, but instead I decided to go back into the simulator and I was in a simulator for literally like 2 years practicing, trying to learn about strategies, trying to try different setups, different indicators, all that fun stuff. Um, you know, I' I've always had a

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process over profits mindset. I've I've lived my life focused on delay gratification. I I really wasn't focused on trying to get rich today. I wasn't focused on trying to find instant reward. But instead, I knew that if I could become profitable in a simulator, um I would be able to turn it around and start doing it with low risk with a small account and then eventually grow that account. So, I was, you know, it didn't matter how many years years it took, I was going to be in it forever. One of the ones that, you know, died, you know, died trying guys. So if I was committed already, might as well take the right steps.

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Anyways, became profitable in a simulator um finally and that's when I transitioned into a real account. This time around, I needed to trade in a free commission account because the strategy I became profitable in was very high frequency, taking hundreds, if not thousands of trades in a single day. pretty much treating like a market maker, like trying to make money off the spread, trying to make money out of the micro moves within the small cap momentum stocks, buying the bids, selling the ass, trying to recycle shares, all that, right? Which meant I'm playing like a market maker, but now I have to pay insane commissions on offshore brokers, which makes me a losing trader at

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the end of the entire transaction. So, I was like, "All right, well, I got to go and trade in a free commission broker." and and free commission was becoming very popular and most brokers in the US uh were like undercutting each other and all of them went to zero. But now I need to save $25,000 and I'm still a nobody immigrant in the middle of nowhere in Canada because my immigration program my immigration program was if you're willing to live in North Canada in a town that only has one stoplight and a thousand people living in it, you one day can become a resident. So, I was living in the middle of nowhere, going to

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school, painting houses, trying to save for this damn $25,000. And after doing two years of trading the simulator and working my ass off to save $25,000, $25,000, $25,000, I didn't save $25,000. I actually only saved $9,000. Um, but I had so much experience already in this simulator and I was so confident in my metrics. I remember hitting like six months in a row of profitability in the simulator. I felt like, you know, I didn't want to wait another two and a half years to save another $15,000 at my painting houses rate, right? So, I reached out to a cousin of mine um that's an entrepreneur. He lives in the US. Similar story, immigrant that goes

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from nothing to from zero to hero. He was very successful. And I I shared with him my vision and the the the delusion I had I had of me becoming a you know a rich trader guy. He saw the vision and he uh he loaned me $15,000 which was what I what I needed to go over BDT, right? Um, of course, we had a deal in which I had to repay him no matter what. I was going to give him that this much interest. I was never going to touch his capital. I just needed to be above PDT so that I could trade freely. If anything, all my losses were going to come from my

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$9,000, so on and so forth. So the deal, you know, was risky because I'm trading stocks and nine out of 10 people fail and it's incredibly risky all that, but I was never really going to touch his money. I just needed to have the ability to day trade freely. Anyways, gives me the money and then I go into the live markets with a $25,000 account. But and I'll show you here on my Kinfo equity curve. Unlike everybody else, I continued with my mindset of delayed gratification, process over profits. This is where I either try to be a hero again and blow everything up and now I'm for real out of the markets forever or I

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continue to take baby steps. So, when I went from the simulator to a real account, I literally traded with one dang share, one share every day. And I did that for like three or four more months because again, I didn't care about making money still. I just cared about being consistent. The money was going to come after I became consistent. That's one of the blessings in the market. Like if you can make a 100 bucks a day, you can scale almost that to make 10,000 a day. I tell I I tell a lot of my my uh followers that it is harder to make make make it is harder to make like $100,000 in one

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day than to make a dollar a day for five years straight or something like that. So the consistency was the trick and the hardest part about becoming a profitable trader. So that's why I always had in mind. So I went ahead and started trading with one freaking share. Of course my P&Ls were swinging cents, right? um you know at the end of a month I would be at $4 or five bucks or or down a dollar right which um to most people looking looking at what I was doing I was insane like what are you doing wasting your time mind you I was putting countless hours per day trading learning how to trade doing all

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this all this research about stocks reading books about trading learning about strategies every day just to be up since sense you know I remember this conversation very clearly with my dad when I was telling him like, "Dad, I just had my first profitable month. I made like $7." And to him, I was like, "Son, we need to have a very serious conversation. I think you're wasting your life. What are you doing here?" Like, you know, get you finish your education, focus, focus focus on that, get a nice job, and then live your Canadian dream or whatever it was. Um, but again, they didn't understand the trick in the market was consistency. Anyways, I had three

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months of up nine bucks, then up $13 the next month, and up and then up 33 bucks the month after. And then I was like, "All right, six months of profitability in the simulator. Three more months with this micro share size. I think I got it. I think I got it." Now, now that the last demon that is left to defeat is my emotions after me increasing the risk and after me starting to trade with some real share size. So, what I did was uh a little crazy, but it worked out. I increased my share size by three zeros. So, I went from one share to a,000 shares. And I knew that was very risky,

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but I had I had a I had a plan in which if it didn't work for the first two weeks, I was going to go back to a share and try to figure out what went wrong. So, I already had some experience trading with a thousand shares when I went ahead and blew that account offshore at the very beginning of my of my journey. So because I already had traded with bigger share size, I already knew how losing felt. I already knew how the P&L swings felt. So I wasn't coming in from scratch trading with bigger share size because I you know again if I was trying to grow that $3,000 account into a million.

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I was swinging like an like a maniac. Thousands of shares as a beginner trader is the worst recipe for disaster. So I kind of know how it felt trading with bigger share size. So anyways, go ahead. I add the extra zeros and then I, you know, I I meditate before trading then the day after and I tell myself just do exactly what you've been doing and then at the end of the day let's let's study up what happened. So I I did and then on my first day made like $147 which would have been like $1.40 40 cents with my one share, but this time around it was 140 and then then the day after

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300 bucks and then the day after 600 and then I couldn't believe it. Like the euphoria I felt on those few days has been beyond of what I felt on my bigger green days now that I've made. You know, my biggest green day is $41,000 and it's there on Kinfo. There's there's no comparison of of me going from $1 a day to 100 or to a,000. my thou my my first thousand day was insane. Um and then from there, you know, I just kept on doing that, growing as a trader, then adding zeros to the share size, and now, you know, I'm blessed that whatever I'm doing is still working. working. working. >> Can I

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I just want to take you back a little bit. So, um so for example, Warrior Trading, who we we want him on Kinfo, by the way. So, if Warrior Trading can ever come off Kinfo, we'll be glad of the day. But, um just of his um just for his education, did you pick anything up on it? Was there any valuable insights or did you go your own direction like what click to start making these dollars? >> So war trading my experience there was helpful I would say you know I I I done reviews on his course and I would recommend it. He at the very least as you're saying even though he's not on Kinfo

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I would say he's one of the ones that is actually making money instead of just being a fake scammer selling courses like everybody else. Um, so I think he his material is valuable and I learned the basics the basics of small cap stocks, the basics of level two, how to find stocks to trade. That's the way I would recommend his material as learning the basics instead of trying to piece meal what small caps are on the free internet. This is kind of like a structure plattered way of learning that. But that's about it in terms of finding your own edge. the way he traded didn't didn't really work for me other than learning the basics.

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He's just way too experienced to try to learn from him, at least now. He is extremely good trading breaking news, extremely good at reading the tape, and um you know, I just couldn't keep up, right? So, I started trading like he was. It didn't work. At the very least, I did become a a break even trader, which is a huge milestone becoming a break even trader. At the very least, you're showing up, taking trades, and not losing. So, that's a milestone in itself. But the breaking news stuff, the pre-market, the pre-market pre-market pre-market price action and volume, he likes shredding in just never really worked for me. Um, but then I I learned enough skills

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so that I could develop this hypers scalper kind of like market maker type trading because funny enough um after I learned from Ricky and from Warrior Trading, I saw within my metrics that I was green like um 90% of the time after pressing the buy button. And the problem was that I was taught to hold for the for the entire reversal to set daily targets and hold until those targets to set profit targets of 10 30 20 cents per day and hold until those targets and 100% of the time if not more those winning trades were turning into losing trades because I was taught to hold and then like to add into winners and to

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and to like you know look at all the other indicators so that I can make my winners bigger And when I discovered that in my metrics, that was my turning point. Knowing that I had all these small winners that I never took off the table because I thought they were insignificant because they were only like a few cents per share. And you know, I was holding for the bull flag to resolve or I was holding for the wedge to break out or I was holding and waiting for the high day break or whatever it was. Um, that never worked. But what did work was the initial kind of like anticipation of those setups. So I

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realized that I was making three to four cents every time I bought but then it was of course reversing and turning into red trades all of them keeping me a losing trader. When I realized that I told myself what if I just start selling this this thing instantly and you know that's what I started doing in the simulator and it started working and that's when I turned the corner in the simulator was becoming a market maker. It's like I don't care what the stock is doing or headed. I'm just going to get in and out in this quick volatility and try to capture four cents, five cents each time. And then with enough big share

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size and free commissions at the time, you know, that's how I started making money. making money. making money. >> No, but like it it's crazy because like normally people would say hold on to your winners, cut your losses quickly. You've got to hold on to the winner, but you're actually you that's the worst advice ever for you because you need to get rid of your winner. So, like, so when when did you like I understand that it clicked, but like what what are you doing? And I know we'll get into it in a bit, but what are you doing to like get in instantly up because most people get in in the down from from

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the spread, right? So, what are you doing to get in and be up? >> Um, so I would typically buy when the tape is green. So, I'm buying as the stock is reversing. I'm buying as the stock is already bouncing. I'm buying as the breakout is about to happen. So instead of trying to accumulate share size and and being patient and waiting for the pattern to see resolution, I'm trying to find that apex moment in which pullback goes from pullback to bouncing or breakout goes from consolidating to breaking out. That microsecond from selloff to turn to turning point. That's what I try to capture. And and if I I'm accurate on it, I can catch

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the entire resolution. everybody else has been being patient for, but I I catch it right away. On the downside, if I'm wrong, then, you know, I I can get chuffed out most of the time because I'm trying to be as perfect as possible rather than to be patient and accumulating shares as having like a broader stop. So, the downside is my my accuracy is not as good. But um on the upside when I do catch it is it's like I can have some great winners and then I'm following a breakout or bailout approach which means since I'm buying optics right and I'm buying breakouts there's no stop loss under VWAP or under the pullback or

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under anywhere the stop loss is the second it's not going I am out literally the second it's not going I am out. Um and again a huge part of why I like free commissions because you know I was never committed to any specific trade ever. It was like no instant if I instantly buy it and doesn't bounce or it goes as I'm seeing green on the tape then I'm instantly out and it turns out being like insignificant losses and then I do catch that one trade that is the apex turn from that pullback from pulling back to bouncing and it just wipes like four of my losers and now I'm in the green right and

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as your accuracy gets better you know it turned out to be a very bulletproof strategy >> so like are you like a master trea like are you like a master of Apex moments, >> I would say. So, like um I I really can't I really can't trade without the chart almost like to me 95% of of of the time trading is just staring at the level two like a hawk and I can almost imagine what the chart is doing. Um another way some of my trading friends have done it is uh with like one second charts. So, so essentially a 1second chart becomes what the level two is telling you because it's so quickly. But

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a lot of people are stuck with one minute charts, 5 minute charts. To me, those are like way too delayed. They're like almost delayed indicators because, you know, the chart is kind of like looking in your rearview mirror. Everything that is the everything the chart is painting is kind of like the past because it has happened. But the level two is kind of like your your front mirror and is is like the path ahead, right? And I try to anticipate what's going to happen next. and I quickly buy and if it goes good and if it doesn't I'm out right. >> Uh but you know what I like about your trade and tell me if

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I'm wrong here but you get a lot of stuffs in the market but like the stuffs almost don't bother you because you just need it at least even just trying stuff and if the effort's there are you in and out before the stuff even goes wrong is it kind of like that you just need the drive. You need the drive. >> Exactly. Exactly. Um, you hit it on the nail. That's how it is. is. is. >> No, it's it's absolutely beautiful, but it's a total skill. Are you are you recording screen recording tape to like to like narrow down on this or is it just like a natural ability of so much simulator time? simulator

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time? simulator time? >> There's there's no natural ability here. Everything was built from from zero. And you hit you hitting the nail again. Every single day without fault, you must record your screen. So, you can review the tape. You can review, you know, the the the color on the tip, what it meant, and how the level two reacted. You can review how a big bid or a big ask affects the level two. You need to review even the different levels of the market depth. What does it matter when there when the levels are stacked? What does it mean when the levels are thinning out? Everything matters and everything is 100% learned. Um I'm teaching my

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brother how to trade now, right? And um when he starts at the level two to him is a is like reading Chinese. Like what the hell is going on? Like nothing makes sense ever. And I I was the exact same. Uh I remember when I when I when I was in water trading back in the day, this was a few years ago when when Ross wasn't like making 100,000 a day, he was just making maybe a thousand a day. Um to me, the level two looked like this insane tool that never made sense. But if you stare at it for 3 years, 10 hours a day, everything makes sense. And I genuinely believe like if

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you put in the hard work, you're going to like become a level two master as well. >> No, it's it's so beautiful that. But like it it kind of just understand like is there anything in the level two other than the order sizes where the order sizes are and how fast the level two goes up and down and the volatility of it? Is there anything else other than that that I'm missing? >> If you stare if you stare at the tape close enough, one of the prince is going to say bye now. When it's by now, then you buy. I'm joking. No, no, no. Um, that's a good point. Um, and there's something that I

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should bring up. Level two is noise 90% of the time. So, you need to you need to be able to know when to read it. So, that's when the context actually uh plays a role. having a stock with breaking news, having a stock that has a lot of attention and high relative volume. You want to be trading something everybody's staring at because if nobody's staring at the level two when you are, whenever you see these level two signals, no one will react to them. So, they become worthless. So, you need to be trading something with high relative volume with news and within within some sort of chart context, chart pattern context. And when the apex

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point that I was telling you about is getting closer and closer, that's when I zone into the level two. And that's when the signals actually mean something. The green on the tape actually means something. Usually like the stock is going to spike up even for even for a few cents. Um, red of the tape actually means something. A big bid actually means something. A big seller actually means something. when again when everybody is staring at it and when that when the apex moment is about to come level two level two signals are actually readable and they actually mean something and I you know take trades against those all the time. Um but then again it's

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all like a it's all like an infinite game of rock paper scissors. So you know there's like the textbook definition of what things mean. For example, a big bid means the stock is going to go up. A big ask it means there's resistance. The stock is about to drop. on paper, right? That's what it means on paper. The same for the time and sales. The green on the tape means people are buying at the ass, so the stock should be going up. Red on the tape usually means people are selling at the bid, the stock should come down. So this is what the textbook definitions are. But if you know that trading is an infinite

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game of rock, paper, scissors, trying to think what the other guy is thinking. So then think, okay, if he's going to pull rock, I'm going to pull paper and then he's thinking. If he's thinking I'm pulling rock and then he's going to pull paper, I'm going to pull phys. Right? So, you're trying to predict se several layers of what do you think people are going to do while staring at the level two after seeing this textbook signal. And you know, you can you sometimes almost do the opposite of what the level two is telling you and it works, right? Um, but that's the whole idea behind level two. You are finally playing against humans. That

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is the little portion in the entire chart, that apex moment where humans are reacting to the level two and winning a battle against humans feel so much easier than trying to trying to play chess against an algorithm or against a computer. And in that little apex moment, I feel like the signals in the level two, whether whether if they are textbooks or this kind of like rock paper sciss rock paper scissors version of it, you can make money out of those mini moves, mini signals. So that's what I've been doing. Yeah, that makes a huge amount of sense. Uh, I think we're good now. I mean, first of all, I just want to say let's

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let's bring up your profit chart and let's look at your last three years. Um, while you do that screen share, I just want to see if anyone's got any comments specifically for Mighty Stocks because we always get a ton of comments all the time on the episodes. So, if anyone's got a comment for Mighty Stocks, just drop it in the comments and what we'll do is I'll ask you the questions separately. I'll get you to answer them on all consolidated and we'll drop it like on a Kinfo thread about about you. So, so drop drop drop your comments in the in the episode. And guys, if you want to see more people like Mighty Stocks

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on this podcast, just hit like and hit subscribe. Helps community helps get more people get verified. Might get Warrior Trading verified on on here one day if we look. >> I'll send an email. I'll send an email. You're going to get him here. >> When you're ready to to throw up that profit chart, let's let's take a look. Okay. So, we're looking at 0 to 1.5 million. Talk me talk me through it. I I can start. can start. can start. >> Yeah. So, initially, as you can see here, when I when I first founded my $25,000 account, I was trading with marginal share size. So, my P&L swings were dollars were dozens of dollars. And

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of course, as a beginner trader, um I was terrified about losing a dollar. So, this to me had the emotions of like if a million if a millionaire was trading with thousands of shares, which is exactly what I wanted. I wanted to feel like if it was if it was real. So all throughout this zone in 2022, I'm still following process over process, process over profits mindset, trading with one to 10 shares, which is why my account wasn't growing expon exponentially. Um I think here at the beginning of 2022 is when I made the switch. As you can see, I added an extra zero to my share size and then I continue to replicate what

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I had been doing in the simulator. And then that's when life got crazy and I just kept on doing exactly what I had learned and how it just worked with an extra three zeros. That's when I started building the account and then eventually I added another zero to that. That maybe somewhere in here when I added the extra zero and my equity curve started growing more exponentially rather than up in up until this point it was more of a grind here. I added an extra zero and now my profits have been growing way more. I had my best year last year. Um, I was shy of a million dollars on just 2024, which is insane.

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>> Million dollars in a year. How old are you? 26. you? 26. you? 26. >> Yeah. >> Yeah. >> Yeah. >> A million dollars. You made a million dollars in a year and you're 26 years old. old. old. >> It is insane. It is insane. But it is insane. But to be honest, it is exactly how my vision said it. That's this is something I like preaching is have a delusional vision. Believe it believe you can achieve it and some someday that daydream will actually become true. We have to believe it. And like I told you earlier, there was no quitting in me. It was either this or I I was going to die trying.

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And you know, I didn't die. So the outcome is the inverse which is this. this. this. >> Yeah. But these things are possible for those who are willing to commit and put the time in. And I'm sure you spent eight hours in a simulator or 10 hours in a simulator for a couple of years. Like I'm sure you put the time in because that's and the time up before and after. and after. and after. >> But I mean, >> how >> how >> how I I saw on an Instagram that you took a 66 I think it was $66,000 loss. No, you on a draw down of $66,000, but you went on and made 100K.

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I guess that's obviously not scalping. How how do I how do you So, the really good thing about this is you never have to worry about how to handle being down in the current strategy of sculping. You don't have to worry about it because doesn't work straight away, you're out, right? It doesn't work in two seconds, you're out, >> right? >> right? >> right? >> How do you not how do you fight against that thing in your head where you're like, I just want to give it two more seconds. I just want to give it three more seconds. Ah, it's dropped, but it might come back. How do you fight against that? A lot of

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people struggle with it. with it. with it. Um well, you know, it it becomes second nature because finding an edge in the market is so tough that whenever you find a little strategy, a little pattern, a little level two signal that is working, you almost have to treat it as religion. And even if sometimes there's a little devil in your shoulder telling you to hold it a little longer or average down or maybe hold your winner for for the bigger move, it just never pays out. That's one of the things in the market is like it will correct you if you if you let it. And I've done that of course many times trying to

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average down or hold for a winter a little longer and it almost never works. It almost never works. And what I like about this strategy is that since I'm capitalizing off of such small moves, right, four, five, 10 cents per trade, for me to make big money, I have to trade with thousands of shares, 10, 15, 20,000 share positions. And um you know if I hold one of those for too long and I'm wrong I can lose thousands of dollars in one trade. So the market has been very educational for me in that sense that thankfully every time I broken the rules I've gotten you know pinched and I I've I've seen bigger losses. It

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gets freaky when you break the rules and you get rewarded. That's when you get get into this vicious cycle of every now and then breaking the rules work. So it it convinces to always do it. But for me and especially the type of strategy, of strategy, of strategy, you know, I I I always got like negative reinforcement which was break the rules, pay the price all the time. So to me was like that. like that. like that. >> And then and then on the opposite side of things like you can hold you do a bit of swing trading, right? So say you swing at Tesla. >> How do you have how when you're down 66

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grand, do you just think I'm just going to I'm just going to hold it. like how do you have the conviction that you're right? right? right? >> Well, I I like I like my swing trading is completely different, but I like thinking of um I like thinking of my swing trades as quantum trades. And what I mean by that is, you know how when you don't need money, trading is easy. You know how there's multi-millionaires out there that whenever the market drops, whenever a big big blue chip company drops, they just toss a few a few million dollars to the stock. And it and it will of course turn around and double their money and

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triple their money. And that's because they're trading out of a fearless, almost careless mindset. So what I like to think on myself is whenever Tesla was tanking, it was dropping to like 200 bucks per share. Of course, it looked like the sky was falling. All the all the media outlets were saying that Elil Mus was doomed. Tesla was going to zero. It was an overpriced company, overpriced company since inception. since inception. since inception. And you know, it looked like a sky was falling. And of course, I was terrified to put my hard earned money into it. But then I started thinking about these millionaires and these other people that have a fearless, careless mentality. How

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were they throwing millions of dollars into the trade into the stock and maybe not even caring about the fundamentals, the the financials, maybe not even looking at the charges, thinking like, "Yeah, it always works because we don't care." So you throw it down, throw a million dollars on it. If it of course is going to reverse eventually, and you know, then you just double your money. So then I call it a quantum trade because I almost put myself mentally in their shoes and be like, "All right, if I take this trade as a as a fear as a fearful trader, $66,000 drowning will come. I will sell down there and then I'm done out of

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the markets, out of the game forever." But if I adopt their delusional mindset, and this is of course not financial advice, this is this is how you blow your account. But but if I adopt their mindset and act like if I didn't care and act like if I had millions and millions of dollars, even if I lost it all here right now, it will work. And of course, it does all the time. So I adopt the delusional mindset of of the of the multi-millionaire guys. I just know that it's a good company is extremely oversold. The sky is falling. That's probably the best time to buy when it looks the worst. And when your co-workers

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are starting to tell you that it looks bad, that is the time to buy because that means that fear is to the max. All right? So then I just take the quantum trade. I I I I throw money at it and when it starts dropping it's like what would a millionaire fearless guy do? Buy more maybe. And then I did I didn't buy more but I just held and of course it turned around. I just taking so many little trades like that and they always work. And even though I'm not at a place in which I can afford, you know, a million dollar loss that will put me back to zero my trading career, I've

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concluded that winners in the mindset are the ones that are not victim to emotions. So, I just treat them like that. It's like, nah, whatever. >> Yeah, I I can tell you a funny story. Yeah, you you'll know the when the Trump tariffs first came out and the stock market crashed on the tariffs and the saying, right? And that was similar time when when Tesla went down to 220 and and Elon Musk went against Donald Trump and stuff like that. The market fell like 20%, right? Um, I was getting married in six months time and I thought, I'm gonna put all the money for the wedding and all of the other money that I've got

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saved into this dip just and and I'll bet I'll bet that America's economy isn't going to crash. crash. crash. that eventually, one way or the other, these Trump tariffs will resolve >> and the market will go back up to new highs because I bet that the American economy is not going to completely collapse, fail, and go bust on this. And if it does, I'm happy I'm happy to go bust, too. I'll go bust goes bust. But America's not going bust >> and uh >> America goes bust the world of zombie apocalypse, so it doesn't matter. >> Exactly. If if America goes bust, the world's over. So I'll I'll I paid I paid final me full

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wedding on the profits for that uh from that trade. So like that that the mindset. >> Yeah. No, I took the trade and I made uh I made about just a little short of 20 grand. So I paid for half your wedding. >> That's amazing. That was a great story. >> It was a crazy crazy win. Like crazy crazy win just buying the dips on that. But um let's get into the um I'm looking forward to getting into the nitty-gritty of your strategy. Oh yeah. This long dip and rip. Um, let's see how this is working. Is this a video recording? Is it it it >> is it recording? Yeah. >> This is the first

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ever video recording tutorial tuition we've ever had. So, there you go. >> Oh, really? >> Yeah. So, this is going to do well, I'm sure. sure. sure. >> People are doing it wrong. That's what I'm saying. You got to study like a maniac every day. You have to record your screen. Like, there's a lot of people that have been trading for years and and they don't even know how to record a screen. Like, what are you doing? doing? doing? >> This is the first on the parts. This is the first video screen recording shown from someone on a pod. So, talk me through this. through this. through this. >> All right. So, um just to

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get a little oriented here. So, I'm trading two stocks, right? This is stock number one. Oops. And this is stock number two. This is the one minute chart and this is the level two for that one minute chart. All right. That's all that's all you really need to know. And then here is the broker where I send orders. >> Yeah. So, you know, the the strategy is is like any other smuckup strategy pretty much. I am looking for, you know, I'm sitting down scouring the entire market with my scanners and looking for the leading gappers. I'm just I'm I'm looking for the trade here. Hold on. >> That's that's it. So, so you've got some

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scanners that say 30% off, 100,000 pre-market volume, and you're just seeing what's up. Basically, it's like a easy basic scanner, >> right? Like a like a normal gap scanner. And um I'm filtering for volume. I'm I'm filtering for biggest gain. And then I'm filtering for breaking news. I I do do like trading something with news because at the very least there has to be some fundamental reason for the stock moving higher. Even if the move is exaggerated, sometimes we sometimes we have the most ridiculous headlines like the the the CEO of this company took a healthy crap and then the stock is up a thousand a,000%. But at the very least there's news. And then

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why do I care about news is because since I'm buying thousands of shares and I'm typically buying high and selling higher, I can't accept the risk of a T12 halt or like a like a T11 halt. And that means the stock has no reason or business being up this much. It gets halted by the exchange. They reach out to the company asking what the hell. They say we don't know either. And then the stock resumes months later. So your capital is frozen for months. But not only that, it resumes back to where it came from, back to being just up a dollar or or up $2, right? And you bought the stock at 10. Huge

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loss. Huge losses. I've had so many friends get caught on those. That to me is a golden rule that the stock has to have news. Anyways, Anyways, Anyways, >> can I can I just ask is there any any type of news like are you looking like a biotech with Canson news or an earnings winner or like are you looking for the contract wins or any specifics or >> No, no, not really because all news are fake anyways. They're just a headline to to have this stock flying. So, it doesn't really matter as as long as a headline. Sometimes there's genuine headlines like for example when when a lot of small cap companies were finding the

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vaccines for COVID or when they're partnering it up with huge companies like Nvidia or Walmart. Those are fundamentals that I actually think are relevant and may actually um be commensurate for bigger risk and for bigger share size. But most of the time the headlines are just you know fluff to get this stock up. So as as long as there's a headline I like it. Um and then from there I'm looking for the top three leading gappers. Why the top three? Because they're going to have the most volume. And if they are going to have the most volume, they're going to have the most retail traders looking at it. And if it the most the more

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retail traders we have looking at at the same stock, in my opinion, the better quality the signals in the level two. Like I like I told you earlier, 99% of my trades are based off of the level two. If I'm trading a no-name, no volume stock, you can literally see the same level two price action and the same signals on any stock if you wanted, but they mean nothing outside of context. If nobody else is looking at them, they mean nothing, right? You can see the the biggest bit in the world and then green on the tape, the stock can teleport to zero instantly. It doesn't matter if you're outside of context or once you're

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in context of breaking news, leading gapper, everybody's looking at them, the signals actually start to mean something. And then from there, I like uh I like trading stocks that are halted, right? This is the the dip and rip trade, per se. Why do I like trading stocks that are halted? Um because of the battle that is constantly happening between longs and shorts. So the small caps is kind of like this playing field in which short sellers and and long bias traders go at it and and they try to see who who is right. Right. At the end of the day, we are trading very very cheap companies that 99% of the time eventually fade. And

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there's very popular strategies of shorting those pops and shorting those spikes, right? So, we usually have small caps always be fueled with short sellers. And for you to make money in the markets, you have to understand that the market is a zero sum game, which means somebody has to lose for you to make money, right? Money is not printed from thin air. It's just transferring from one account to another. And where I found that was when short sellers stopped out. When short sellers were forced to cover for me, there's a small window there for me to try to jump in and capture, you know, my little move, my little scalp, my little micro scalp. Um,

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is when they're stopping out, right? Somebody's losing. Short cells are getting squeezed. Longs are hopefully catching the other side of that trade and making money. So halts to me scream uhoh this is an issue if you are short if you are short at five bucks and then you add it here let's say for the lower high and then you're looking for this thing to trickle down to zero because 99% of them will do that eventually right so I'm confident that there there's short sellers in here or what happens when you're expecting a fade and all of a sudden there's a massive engulfing green candle with high volume looking you dead in the eye like we're

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coming for your stop loss. Right? Most short sellers that are seeing this hold are crapping themselves and thinking, uhoh, maybe this is the 1% of the time that the stock actually holds up and goes to $100. So, I better get out of this thing now, right? So, so when it's halted up, people, especially short sellers, meditate like, I'm going to get out of this hold and I'm I need to get out of this trade right now. Which means when the stock resumes, we're going to see a huge influx in buying as short sellers are like throwing in the towel, giving up. I need to cover this. Covering means buying volume. And I just I just

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see a lot of imbalance to the buy side after a stock is halted up like this. And that's where I like to buy the stock and try to and try to like try to ride a little short covering. We will see from the short sellers. Anyways, so stocks halted up usually holds um come and go in five minute intervals, which means you got to go time in sales, check the time that it got halted at 10:21, and then you add 5 minutes to that, which means the stock will potentially resume the next five minute interval 10:26 and 12 seconds. Right? So, what I'm doing there is, you know, just waiting for the five for the

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five minutes to come, trading something else if if it looks good. And, um, here we go. So, right now, I'm looking at the clock, waiting for that resumption. It's coming here in 4 seconds. All right. So, then now my heart is pumping. It's in my throat. I'm feeling it and I'm and I'm ready to throw shares at it. >> You still feel it now? Do you still feel nervous before your trades? >> Um, a little bit. Not not not as much as I did, but still, you know, the heart rate definitely goes up. Um, all right. So, it resumes, right? It resumes. It resumes at a price of around 519 by 530. As you can

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see, my mouse is clicked right here because I'm about to execute on my broker. I'm about to set an order here because I, you know, I have an order ready for 5,600 shares. And this is my P&L so far right now. So, I'm up on the stock 3,371. Anyway, so it resumes and I instantly buy. Again, this is not financial advice. Like everything I said in this video, like if you try to do this tomorrow and be a hero, you're going to lose it all. You still have to learn, follow the process of a profit, mindset, all that. But anyways, it resumes and I sell my order, right? 5,600 shares. Um the the price is

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dipping now at 505 and um fra is a little laggy. So the order is still populating like that but I'm already long down here. Even though the order it looks like I'm still getting filled on the back end I'm already long. So as you can see down here I am long 5,600 shares at a price of 529. Right? And what am I looking at? I'm looking for short sellers to cover through this level. Most beginner short sellers have their stop loss at high of day. You know, just just like how you would trade this kind of reversal, right? If you're a long bias trader and you and you're trading a reversal, where's your stop? At

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the bottom of it, right? So, this is the same stuff but inversed. Short sellers have their stop a high a day. And what do I want to see? A massive short seller cover. And usually it looks like that, right? this stock just just just a massive blowout candle as you're seeing choke choke covering through hive day through this little pivot. There's a lot of you know cover orders here for them to like bail out and we see that massive candle. Um and then check that out. Made like $5,000 on that second. And like I said, it's like sometimes I can catch the perfect Apex moment in which we see the massive followth through of a

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setup that really and truly has been brewing for like an hour. Um, and that's the whole idea. And then the stock is halted up again. I might repeat this trade after this halt. I don't quite remember, but typically the first hold is the one I like the most because after a few holds going up now it's extended again and shows sellers are going to go from all right now we're going to hammer back in and we we start seeing those massive jack knives the flushes and all that. So it's a dance for it's a dance between shorts and longs for sure. >> So you're just looking for high volume low floats low floats low floats

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and uh you don't even need to pay attention to this, right? Like you just do you have like an indicator or something that says something's halted because you don't even need to watch this. You just need to be like if it halts I'll look at it. >> Right. I I have it on my scanners. I have a hot scanner, right? So a scanner that is telling me all the stocks that are halted either up or down and then I pull it up and if I like it, >> I take a trade and if I don't, I don't. But um something I will say though, trading around halts is trading around extreme volatility. You know, if

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this is a setup that really took me a while to master because you can very well be victim of this volatility. Like if you're a second late, imagine that you're a second too late. You're buying at 623. This jack knife to back to five and you just lost a $120 instantly. So it's a high risk, high reward type of area. But once you become, you know, good at it and proven that you can trade it, it's made me a lot of money through throughout the years. >> Uh, are you hitting markets? You hitting market orders on these? >> Uh, on on this one I did. Yeah, I did. >> You hitting hitting markets cuz it's

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load of volume, tight spread, doesn't really matter. You just want to get in. >> And I I just I needed the speed. >> Yeah. And is there anything other than like cuz it like when when the when the when it opens when the halt opens can it not just wash out like a lot of halts wash out right what if there's dilution and it just dumps >> right and that's part of the risk like the the idea is that the the chart is painting in a story in which I think short sellers are in trouble. That's the big idea because you're right there there's going to be instances in which stocks will be halted up

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and they're instantly going to reverse into a halt down. That usually happens on, you know, not the leading gappers, not the high relative volume stocks, and the stocks that don't have a lot of shorts piled into them, but the stocks that I feel like, you know, are the leading gappers and have made new highs already. Those are the ones that that start getting accumulated with short sellers. And that chart has to look something like this. this stock should have faded, is making higher lows, is downtrending, and everybody in their mothers is expecting a fade. The mere fact that what they expected is not happening, that's what kind of makes the the trading outside of that

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hold valid is that the trade idea of all these shorts is clearly not happening. So that to me gives me the green light of all right this hold is valid because everybody that was wrong here we'll need to cover. Um so typically trading around holds for me comes after big consolidations like that. A big period in the chart in which shorts are soaking and are accumulating are accumulating because you need shorts to be in it because they themselves will be the fuel of the contin of the continued surge after the hold resumes. So that's a good point. Um I do like trading around holds after I have some sort of sense that this is you

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know oozing with shorts. >> Yeah, that reversal kind I mean it it didn't come out of nowhere because it broke out of the downtrend line, right? But it was like it's the I wonder is this shorts on top of each other or is this market makers putting it one cent through the the the low and ribbon it back up? Do you have an opinion on it? >> Um I think that I think they're both of them. I think uh you know micro makers always have an agenda. They probably already knew they wanted to send the stock higher and maybe they are the ones themselves painting this wedge and making it fail, accumulating millions of shares

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into this zone, right? And then um you know they then they they tie up the supply because they're they have infinite money and they can do whatever they want. They tie up the supply and then just a little burst of buying once they've accumulated all the shares in the float. Just a little burst of buying can send the stock flying like this, right? And you know, I I would expect that after this stock resumes, they would just start liquidating everything that they accumulate accumulated down here. That's another that's another style of trading that I never got good at was trying to follow market makers. Like if you wear a little fish, I ended up being

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a victim to them throughout these zones because they're experts at like washing shares and like stopping people out and all that. I always got chopped out myself throughout those zones. So I like to be on the on the open follow-through side of market makers changing moves. But it it is a combination of everything. I think short sales covering market makers giving resolution after this stop hunt. Um market makers themselves pulling their orders out of the way so that they can send the stock flying and um you know that's the whole that's the whole idea people don't get about trying to become a profitable trader. It's never about indicators or golden strategies. It's not even even

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ever about charts. It's about understanding the parties behind the stock. understanding the agenda of the stock, right? A lot of people get caught on learning candles and you can learn that for infinity and never become profitable, profitable, profitable, but until you understand the players behind the stock, that's when you can finally find an edge. So, you're you're right, everybody's involved here. >> Yeah. And like look, you are not going to be the market makers. Like no one's going to be the market makers, right? But you're just taking that 1 2 3 seconds where you're thinking shorts are going to cover in this moment. I'm going to scalp it and and it's the for you the

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better this the worse the stock the better the long right the worse the stock is the better the long >> when it flips like this. Exactly. Because the worst it is the more confident shorts are that it will fail and when that does not happen the bigger the reaction when they cover. So, so you love to go long terrible stocks and you make millions of dollars doing it basically. basically. basically. >> Yeah, I would say so. Um, you know, at the at the end of the day, like I was telling you, telling you, telling you, nine out of 10 people fail, right? Most people fail trading in the market, which means you have to be

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on the oppo on the opposite side of those traders. And to me, short seller has short selling has become this massive popular strategy that everybody does in small caps. And I'm I think I'm thinking to myself, if nine out of people nine out of 10 people fail, I'm going to try to be the small fish on the other side of those failing traders, which are usually beginner short sellers. Short sellers with way too much share size, short sellers getting squeezed, and I try to scalp whenever they're wrong. I try to scalp like they're they're covering pretty much. much. much. >> Yeah. Um, I think what I what I really really loved about this episode is

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that we have just not seven charts, we've gone one chart, 20 minutes on it, like hyper hyper analyzed it. Uh, I think that gives great detail. Um, just two questions to close out. One, what's going on with Schwab? It kicked people out and have you are you how what's going on with the scalpers now? >> Well, like you said, market makers never lose, right? And um I think a lot of people were taking advantage of free commissions and also exploiting market orders and Schwab was not not Schwab. The market makers weren't liking that. It got to a point in which profitable scalpers were making money out of these free commission brokers in which you are

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meant to always lose money because the brokers sell your order flow to the market makers and then so that they can like wreck you and and trade against you and and make you as poor as possible. Like the whole entire stock market is a is a crazy scam. Honestly, that's why I call my community merciless markets is because the markets are brutal. They are here to to take all your money, you know, suck you dry and then throw you out in the street. Anyways, a lot of a lot of people abusing free commissions and market orders, especially in high high volume. It got to a point that market makers consider that toxic flow, which means

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traders are making traders are making money of us instead of us making money of them. That can never happen. and they started banning people like pretty much um if you were a profitable trader in Josh Schwab, you were you were booted. >> I see. And uh you just mentioned your community. What's your community name? There's a link in the description. We'll put it in if anyone wants to sign up and and anyone's like inspired by what Marcelo's done. How can people find you? >> It's called Merciless Markets. Um, again the whole name inspired by, you know, us trying to trying to find a little profit in this arena that is completely rigged against you. against

S03-P0136 original line 54, characters 172863:174640
you. against you. That's it, right? We do live streams, we have chat rooms, we have our education, all that. all that. all that. >> No, I think yeah, obviously like you made $1.5 million if you live live sharing. If you if any of if any of your like sessions are basically what you've just done for us today, it's like it's an incredible valuable learning experience. It's not a It's not a come in room with 700 students and and just watch these videos. Do you know what I mean? It's not like that. >> Yeah. Yeah. >> People can find you below. And I think there's no better verification out there than Kinfo right now for for

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teachers to separate the real from the from the furus and it's up there and verified 1.5 million. Uh so unless other if people want obviously if people want to learn more about you, they can't. But if you've got any basic advice just to summarize any golden nuggets to close out on, we've gone over an hour. Uh what would the be to finish it out? >> I would say um live with a mindset of delayed gratification, process over profits. Nothing hard, nothing meaningful in this life will come easy. You will not get rich quick. You're not going to become a millionaire in a few months. It's going to take time. Two to three years of a

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lot of hard work and not seeing a penny back. Once you turn the corner, all the reward is going to come at the end all at once. But while you survive the learning curve, just keep walking. Even if you don't see light at the end of the tunnel, it's a steep learning curve. But I genuinely believe if you give it your your all, I've seen a lot of successful students make it. So trade in a simulator, take it one step at a time. Don't burn yourself out of the game taking one stupid trade. Just take it slow, right? Take it slow. Put time and effort and I think you have a good chance of of

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making it. making it. making it. Thank you. Thank you. Thank you. >> All right, man.

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In the debut episode of Undiscovered Traders, host Stephen Johnson speaks with Don Juan, a trader who has turned his part-time trading into $320,000 in verified profits. Don shares how he transitioned from nuclear engineering to becoming a full-time trader, the importance of discipline, and how he fine-tuned his strategies, including his successful overnight trading pattern. If you’re looking for insights from an emerging trader, this episode is perfect for anyone wanting to discover new edges and strategies.

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CHAPTERS:

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00:00 - Introduction

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06:45 – Key Turning Points in Don's Trading Journey

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09:10 – Breaking Down Don’s Trading Strategy

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15:42 – Don’s Profitable Overnight Trading Pattern

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19:20 – Sizing Up on High-Probability Setups

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26:00 – Final Advice for New Traders

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Key Learnings:

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- The importance of focusing on mastering a few patterns instead of trying everything.

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- Volume is a major factor in Don’s overnight trading decisions, allowing him to predict support and potential for gap ups.

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- Data collection is key: Don Juan's success largely came from tracking and analyzing historical data to identify patterns and improve his edge.

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- Handling emotions, particularly avoiding FOMO, played a huge role in Don’s long-term success.

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- How changing market conditions required Don to adapt his strategy to continue making profits.

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#UndiscoveredTraders #TradingJourney #StockMarket #TradingSuccess #OvernightTrading #DayTrading #SmallCapStocks #Kinfo #DisciplineInTrading #SwingTrading

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🔗 Follow kinfo: https://x.com/Kinfo

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🔗 Follow Don Juan: https://x.com/DonJuanKnows

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🔗 Follow Stephen Johnson: https://x.com/Jonk87

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Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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welcome to undiscovered Traders uh my most profitable pattern is buying after hours a brand new podcast where we reveal exactly what's working for the latest six figure Traders when you're buying something that's up three 400% you're taking a big risk uh today we're talking to Don Juan Don is up $321,000 we're going to go through some of his kin for starts some of his charts and we'll end on some kind of golden nuggets for beginners Don do do I call you Juan do I call you Don Juan where does Don come from uh it's just kind of like a nickname uh my real name is Juan Juan but it does Don does Don mean something

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is it Spanish no I my Twitter is Dawn Dawn is more like in Spanish uh M like someone calling like Mister ah yeah Don means Mis in Spanish I I've seen it on some drinks I was wondering I thought it meant Godfather or something like that yeah yeah or like back in the day you were call like my grandfather they call him Don Juan yeah it was kind of like a respect thing uh kind of thing and uh I just kind of like it it was like instead of just putting Juan like put the dawn there n no I love it you should be called The Dawn I mean dude you're you're rising up those

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ranks on KF for you are the dawn the dawn of trading Don ju but hopefully someday yeah dude you're on the you're on the way and it's fantastic privilege to interview you before before other people do I'm sure I'll be the first of many but how how just just very quickly before get into the k for stats how did you get into trading what was your motivation H and and and how are you doing now um it's actually very interesting story because uh I had actually a good job I was engineering and I went school and everything for it but the type of engineering I was doing it was nuclear engineering uh a lot of

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the things change it requires citizenship uh and I was losing a lot of opportunity it was very frustrating so I needed to do something in the meantime or something on my own and just kind of like sew an ad about day trading through uh scrolling through my phone or the computer and I I'm not really sure what the the goal was at the beginning but maybe make it or maybe just kind of do it on the side but just kind of started slowly I didn't really like work on it too much at the beginning just kind of like wing it a lot and it wasn't until like the end of 2022 that I got myself

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together and like okay if I want to do this I really have to be focused on it and but I guess I did a lot of study before that but and I did I was trading as well 300 plusk is is absolutely no joke I've seen a couple of people do 50k blow up 100K blow up but once once you get past that 100 I think you're on the way do you want to share screen and we'll take a quick look at your stats and then after that we'll we'll have a look at some charts I'm looking forward to specifically uh what kind of Trades that you're making to try and give some of the

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new Traders some some kind of uh hint or some sort of edge of what you're doing but let's let's have a quick look at your your charts your kall first yeah so that that that is a a very smooth very very smooth profit cave I can see that things have took off really in about the last year so like what what clicked for you there um it was a combination factors I think when the main thing was focusing uh uh uh minimizing basically getting rid of the Thal trades and that's what I call it it's like trading for and being disciplined and that was one of the things I struggle a lot just being disciplined

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and I I think a lot of Traders struggle with that as well and just trading my patterns and uh and really sizing up when when it matters that's matters that's matters that's crazy sorry it doesn't look like you've had a big loss there doesn't look like you've had a major draw down there is there something you do I yeah I mean I think it's a com It's a combination of a lot of like uh small losses here and here and here here that kind of didn't allow me to continue upward upward upward upward and uh like like right here just like a steady downtrend okay I got and then finally started doing good and again

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and again and again it the same thing and I think oh yeah this is like the the the 2022 the last quarter where I kind of like started more to be more disciplined and things started clicking a little bit more and this was like the during the hot Market that we had last August and the same thing here this was in May with the GM AMC and ffi beautiful I'm I'm looking for that's I'm looking forward to seeing what you're doing kind of edgewise but first we'll just have a quick quick look at uh your report and then we'll go into some charts you were saying that you felt burnt out on a Friday and

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then we've just checked your your Kim for stats and what's going on there it's your most profitable day profitable day profitable day yeah I think at the beginning I remember 2021 uh for some reason I I would do good on the on the first three days and by Thursday and Friday I would just be so tired that I would I would take losses and I sometimes I will lose those all the wins of the of the of the week and it kind of hurt me but now that I'm seeing this I noticed that was Friday is my most profitable day and in terms of your dayto day I'd love to get into some charts if

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you've got a couple of charts a couple of examples like what are you trading what have you been trading how did you make this 10 grand this month it's uh it's literally it was one stock uh let me see if I can pull the sh actually because I try to collect all as much data as possible ah please absolutely anything you free to show that's going to help other Traders give people an edge absolutely anything you want to go through I'm I'm all open to say dude that's a lot that's a lot that's a lot of theater and charts oh here we go right here um it was what's the name of that that that

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whlr yeah I think it's wher or wheeler uh my most profitable pattern is basically buying after hours and taking it overnight uh and this was basically bought here and around here and then I woke up the next morning just sold everything and that's that was a $112,000 trade right there I think I took 2,000 took 2,000 took 2,000 shares and then just sold it everything around 10111 so uh are you waking up early are you on the East Coast or the West Coast yeah when I take things overnight uh I try not to wake up at 400 am. but sometimes I can't sleep but usually I 5:30 just because of the stress I can imagine

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there's been times where I sleep I'm just like okay I'm I'll be up at 3:30 get myself ready when the pre-market opens but I mean you're making I mean what was the percent gain on that you You' doubled your money now right uh from 450 to 1050 uh it was like 150 100 over 100% H so you 150% you're not trading you're not trading are you trading heavily right now or not not as much I am I just haven't seen much specifically my setups like this is a very specific setup that I trade in when I see it it's just like I need to I've been trying to size up but right now because we're

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not seeing as many the this it's really hard for me to slid up but uh this is really really interesting because the I'm seeing the daily chart below right so you've got the daily absolutely no volume shitty company mro cap cap cap stock and then out of nowhere gets explosive volume it closes near ties but like what else is there anything else you can diverge anything else you can get away a a lot of people don't like to do like because it's ups so much right it's like $4 from what from like a dollar I don't know how much that it's like 300% or something like that it's scary kind of ridiculous so when you're

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buying something that's up three 400% you're taking a big risk but one of the things I look at is uh it's up in the day it's big green day is it consolidating like I would if it let say if it would close over here all the way from the vwap area that's still really big gap but since it's very close to the vwap that's a really good consolidation and the volume has to be there volume is like the key for me at least 80 million that this one has slightly over 80 million uh shares traded so I I guess the way I look at it like if there's volume there is support so it has

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more chances going up instead of going down if they're volume which means there're there has more chances of get getting pushed up just kind of like the way it helps I guess n i mean I completely understand what's going on I mean it's gone up 300% everyone's been shoting it maybe it's maybe it's been a quiet market for a while shorts are finally licking their lips and thinking I've got something great here i' the shorts love add losers then the next day maybe a lot of them get blown up at 4:00 in the morning I don't know if it seems seems like that's what's happened there or I mean are you looking at dilution do

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you need a specific catalyst so I I'm trying to get better at looking at stats like uh not not the yeah like the like all that kind of stuff and dilution dilution dilution and and if there's offerings or this and that but I a lot of the times I I noticed is just like just by looking at the the the technicals especially when it just taking it one just overnight one day that works the best for me but uh in terms of a press release does it matter for you are you looking just like literally break out volume consolidate in other no it's press I mean news is news it can be press it can

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be some contract can be like some it can be earnings it can be something like that but that but that but just something that help but the news are relevant since sometimes the stock just go up for no reason it's just like a squeeze and and they keep going and stay stay stay up and you I think you're buying right in the market close are just for your own safety kind of thing cuz you're looking for that Gap is it like that yeah one of the things I noticed is I've been trying to in the last few months to kind of Buy in the afternoon if it's holding but you're there's more more risk risk

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risk involved um and they tend to not hold as much so the ones that make it to after hours and it holding after hours is specifically if they held the that closing price you can see here I think it closed just slightly above $4 yeah if it would have be hanging below this closing price I would have never taken never taken never taken it say it was holding after hours over the closing price that's a pretty good indication for me that it's likely to Gap up and that's a that's that's an absolutely beautiful setup probably you shouldn't be sharing it with but it's very kind of that you that you that you have took the

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time to share how did you discover discover discover this I'm sorry what was that how did you find this setup how did you know this setup oh in general this pattern how did you know that this pattern is a probable pattern that works most used to collect a lot of data yeah and I think back in 2020 2020 something click there was a big gap up and I just saw there got to be opportunity right there but how can I make this like and then I started trying to buy stuff I like okay it could Gap up but when you just you don't really know I'm like it got to be something so I started

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collecting data here and there and I noticed big volume big first screen screen screen days uh they're likely to Gap up but that was 2020 2021 if you had those days that was a whole different Market if you have if something's up and with big volume it doesn't even matter what it it does after hour it will it will Gap up but then 2022 came came and everything changed and and you've got like just I mean I've said My Story a bunch of times but I was short in gapas and uh did really really well turn like $600 and over 100,000 and then the market changed the Gap has started running the wer the W

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is so shortable anymore in I give back half of the money and I've sto still not recovered to trade consistently again from that um but then I look now in like 2021 everything that Gap 100% failed and then then 22 23 it wasn't working as well and then 24 it's do all the Gap as I failing again and I'm like it's like if I just had discipline and hung in but so yeah but the lesson for people do is like not to just try and take this pattern and trade it it's like guys like track the data like look at every stock that closes with a 300% or 100% plus gain with 80 million you

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said 80 million like guys anyone who's watching this track the stats on an XL and see what they're do the next day and then start looking at the floor with the news dilution and see if you can refine that edge um do you have do you have what I don't want to take too much of your time this is a fantastic thing that you've give already you have one more stock one more P that you've made most of the 300K with we're can break down uh yeah it it rarely happens but uh it's afternoon higher day breakouts uh and pretty close to multi-day breakout as well uh and I think this perfect pattern is this

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one this was TT TT TT o uh last August I think I believe believe this uh oh uh oh uh oh no August 2nd um so basically we have it's right here in the morning it didn't do much it kind of dip it but it kind of hanging there and when I saw that it got above vwap the multi-day breakouts are this is the first level and this is the second level and the high of day right here so buy over here a little bit I think I bought some here when I I anticipated but then I just cut it and like let's see what it does but it helped and I think I bought

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a lot of shares at 165 and 168 um I was still still unfortunately I think I sold everything around 19 cents um it was I think it could have carryer on but I just that was I made like two uh two art so basically two times my risk what I was supposed to make what make what make what is yeah and uh but the the shark kept going but it it kept going maybe I did buy the dip I think I did and I sold a little bit here and I sold it all out here here here again but again but again but this this actually came and kind of like created the same pattern

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that I always looked looked looked for uh which is the first uh strong first Green Day and it's it was holding after hours but is that that's the daily on the do you want to bring that daily Up full screen so everyone oh no it's an image right this your actual software yeah and uh I think uh right that's after I was yeah so you can see here um it was it and this fits the pattern of the same thing from the other one where it open after hours I think I bought some around here 26 and then so some and then start reing everything and then you swung everything overnight but uh so this

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is basically like super super low price most people don't even look at these stocks and most people are just like there's no way I'm messing around with sub Penny but you're finding these crazy crazy breakouts with crazy crazy range so so this is a 20 cent stock that went to 40 50 50 cents almost in a day in a day or two yeah and this was just the beginning because it it kind of like when it went all the way to 45 cents it kind of hang it went down and for a few days and again it it kind of like got itself to for a multi-day breakout again and I think I do have

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the sharp right sharp right sharp right here to same batter afternoon batter afternoon batter afternoon breakout and this one it it took a long time but around like 7 pm. it started gapping up and this is when I bought it again the same thing strong Green Day buy after hours for a gap man the the tips the tips that you're given here the advice that you're giving is like amazing detail really really appreciate what you're sharing here the second breakouts kind of not as clean right on the daily would you say oh not you having you're the expert yeah I don't long but the second breakout doesn't quite look as as clean as the first

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one that you took it's not it's it's has it has lower volume too and that I think that made it difficult but the volume was about a 100 million I mean that's still a lot of volume 100 million shares at least for me me me and for something that's very that's getting close to the multi-day breakout breakout breakout that's that's that was really good so it was definitely worth the risk and because the stats said that it should G should G should G up you should buy it obviously not everything works out uh there has been big there I think I got caught caught caught in two or three offerings or bad news or something

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like that over the years um but I mean that's that's the risk you got to take right yeah that I would say 70% of the time this should Gap up and other 30% I was I was saying 20% of the time it kind of just gap down a little bit or just doesn't do anything and there's a 10% chance that it just goes down the Dr where's where where are you looking to enter there if you could just cover that are you entering enter the after hours for The Gap uh probably when it's breaking out of this 39 cents which is a closing price yeah yeah uh that's where I start I start I start

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buying and but a lot of my losses before I take it over Night comes down to after hours because there has been times where similar shs like this I will buy something like this and it's kind of like a fake and it instantaneously just drops and I have to cut it because and then they play games and they like to push it again and I'm like I'm like I'm like I'm like this but are you re buying if the pushup back up again if I see that it's holding it's kind of like one of my rules okay I I took the loss but that's just part of what I have to do and I if

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it's folding now I have to buy it when I say I have to buy it it's it's one of the things that kind of helps me not be afraid of taking it and then uh when you cut it the next day if it doesn't get up like 4:00 in the morning 9:30 um I usually sell on during a pre-market I I just I try so many times and according to what I seen from the stats and everything most of them don't the the high of day is basically they a pre-market unless we're in a hot market then things tend to like maybe dip a little bit and then continue like this one did either way

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I can always Reby it so just to be safe and plus if I didn't get enough sleep because it was a stress I rather just byy maybe go for a walk take the dog hour or something and then come back fresh with a c coffee it's uh it's two two really really beautiful strategies um some nice insights I saw was saw on King for pro reminded the people that can uh click upgrade for free for the month's trial but uh do you have any any closing nugget of wisdom or any top tip or a beginner Trader just to close out the first episode of undiscover Traders I think it's uh important to like focus on

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one or two patterns and then just become really really good at it uh I think I I made a mistake in the beginning I was trying to do this I was trying to do that I was shorting I wanted to like become a short seller and this and I wanted to that and I I I just but it it's hard to say that at at the beginning you should do this you should do that because it get your feet wet like if I wouldn't have done all that maybe I wouldn't have been discovered been discovered been discovered this worse for me you have to try a load of random out excuse me French you have

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to try a lot of random stuff out and then be like no no this is this is what's good and then you just work on in on those too kind of yeah and stay in disciplined I mean that's that's the other main thing and staying away from I've done it myself but staying away for trades that you shouldn't trade and then I asked myself like why did I even trade that it's like I call it the fomo trades basically that I have a pattern for the fomo and I have to record it because then at the end of the month I look at how many trades I did and how much I lost for making

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trades that I shouldn't tra but like how did you stop doing that Chipman cuz I'm still doing it I'm still doing for more trades like how do you stop how did you stop stop stop personally I I still do it I'm I become better at better at better at it I'm not especially slower market like this month for me it's like like I I lower my risk for those trades that's for for for sure like and then sometimes it's like a slower month the pattern may be there but the volume liquidity is just not there it's just recognizing that that's another whole another whole another whole whole different whole different whole different level ah but

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you've hored into what you're good at um you've got better with time with stupid form more trades and and F for me looking at your profit chart I mean you're on the way to the million for me I mean so you stick stick into it good Market you're on the way to the million but I mean last question how many how many hours did you have to put in roughly like say how many hours are you doing a day or how many hours we doing a day at you Max to to track all this data and get all these results uh just collecting data or just kind of like the whole thing like in a

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day how much time would you invest in this uh on a typical day let's say like today I woke up at 7 not much going on but I still wake up at 7 work till uh I don't know five six yeah and just kind of not consistently but I would go I would go to the gym maybe take a break or take the dog out for a walk or something like that that distract me because I'm in the computer the whole day when there's really nothing I'm going to make a some trade that I shouldn't make this like a is this a fulltime thing for you now or are you trying to balance things yeah

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definitely fulltime I left my job in 2021 when I was starting making money but until this day I still think I left it too quickly yeah I understand that it it was at 2021 January February ser hot market and I just thought I was like oh I can do this for a living no problem I'm making money and then the the be Market came I'm like but you survived it and you did okay no you st in the bar maret look good yeah Lucky had money saved up so that helped a lot crazy stuff now I really appreciate your time I really appreciate the fact that you've been so open and transparent with your Edge

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that's what transparent trading is about that's what Kino is about so uh thank you so much for your time unless you've got any final words we'll close out it's been been been fantastic all right um no thank you thank you for having me I appreciate it uh this has been uh really fun Cheers Cheers buddy

S06 | Ep 13: Rob Booker: Veteran Trader Goes Transparent and Reveals Strategy | Complete normalized text

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Ep 13: Rob Booker: Veteran Trader Goes Transparent and Reveals Strategy

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📅 Uploaded: 2025-04-08

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⏱️ Duration: 0:56:22

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👁️ Views: 5,424 (Rank #1 of 1)

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💬 Comments: 42

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📼 Playlist Progress: 1:52:44 of 0:56:22 (200.0%)

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Rob Booker is a name that’s been around the trading world for decades: author, podcast host, speaker, and now a transparent short seller on Kinfo with over $300K in verified profits.

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Rob opens up about the largest draw down of his career, the mental side of trading, and why he now swears by transparency, smaller size, and discipline. He also walks us through some of his 2,000 short selling trades to share his strategies and lessons learned.

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We talk about:

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- Trading currency, its disadvantages and why he decided to move from it to shorting microcaps.

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- How documenting every trade helped him get better.

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- How joining Kinfo made him learn faster and who most influences him in the verified trading space.

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- Stock Selection - which characteristics of a company should be considered when shorting.

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Real talk, hard lessons, and years of wisdom. Watch the full episode and let us know what you took from it.

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⸻

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🔍 Check Rob Booker's trading performance on Kinfo: https://kinfo.com/portfolio/39113/performance

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📱 Learn more about Rob Booker: https://www.robbooker.com/about-me

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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⸻

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Chapters:

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00:00 – Intro

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02:18 – How Rob Booker stumbled into trading

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07:39 – Advantages and disadvantages of trading currencies

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15:22 – Moving into short selling and documenting every trade

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20:45 – The $100K drawdown and what it taught him

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26:20 – Advice for small accounts + surviving risk

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30:40 – Why transparency made him a better trader

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39:11 – Increasing trading profits

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43:29 - Rob's charts

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55:20 - Advice for beginners

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⸻

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✔️ Follow kinfo: https://x.com/Kinfo

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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⸻

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Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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#TransparentTraders #Kinfo #ShortSelling #VerifiedTrading #Kinfo #SmallCapTrading

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#RobBooker #TradingTransparency #TradingPodcast #tradingmistakes #daytradingforbeginner #daytrading

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today I'm excited to introduce uh Rob Boer I wasn't always transparent I'm like I'm embarrassed that I didn't do it earlier 24 hours later on that Friday I was down $100,000 in unrealized losses that's 10 times worse than the largest draw down I'd had ever cuz if any of us could take back our worst five trades we'd have so much more money so the real question isn't can we make money trading it's can we Pro can we keep ourselves from giving it back I document almost every single trade I took for a long long time and you can start to see characteristics they start looking exactly the same today I'm excited to introduce uh Rob

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Booker a season Trader industry veteran Mentor author Rob has panned influential books including the adventures of a currency Trader and the currency Traders handbook he's also the vice behind the Traders podcast and the trading book podcast uh today we're going to jump into his background his thoughts on transparency as he's fairly recently new to kall and hopefully we'll dive into some charts at the end but first of all rob thank you so much for coming on I've seen you everywhere how are you I'm good I'm good I you know I umum kind of disappeared for a while like I kinfo was like the only way you could find me for a while I actually I

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don't sell anything anymore um I don't even host any podcasts anymore I don't I just kind of keep to myself and I've um I've really enjoyed like hey can I get a link to your website and I just send them them the info I don't like you can just look at this I don't no but I absolutely love that about you I was um when I was doing the research and I was looking into this because obviously you you trade all sorts you've trade Forex you've got a background in Forex you've been options small caps large caps and when I first took in it Googled your name or searched your name on YouTube I saw

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like YouTube videos from like 15 years ago and I was like this this ha is different it looked like a completely different person he's not a Forex Trader is he's an he's an equities Trader who's this guy talking about Forex said but it was you I was like ah okay but uh I guess that leads us into the first question uh you've been trading 20 plus years cross Forex options large caps small caps written books hosted 650 plus uh episodes of the TRS podcast but how did you get started in the whole game so I was so I went to law school in 1995 finished in 1998 I didn't want to practice law I practiced

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law for like 1 half of 10 minutes like literally went upstairs sat down at my desk I was like what am I this is terrible so I left and that was in the middle of the dot boom and I was so f i was I went to law school in the San Francisco Bay area and my summer job I worked at Montgomery Securities when Netscape went public and I just I just caught the bug and so I started a company after law school that company failed the second company failed and then my business partner fled the country and I was like I you know what I'm going to do I'm going to trade my way

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out of this Financial mess you're like like you know I can't even do that now like it's like if my back were against the wall I wouldn't be able to do that now it was just like worst possible um and I just I started trading currency because it it it offered like 5001 leverage and um this guy named Ron subber you can look him up he's on LinkedIn still he was the head of correspondent clearing at beern and um in San Francisco and I and I called him up because I had met him and he said whatever you do don't trade Forex don't trade currencies it's risky it's a scam it's like you could just

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and I all I did was like I heard none of his warnings and that's all I heard was leverage you know you can make a lot of money really fast and you can lose a lot of money really fast it's like all I heard was none of the warnings and all of the potential so I started trading currency in the year 2000 that's when I started started started um way back can I just ask you what was your best business idea oh yeah I love this I love this store I'm so glad you asked this question I actually was looking at this there's the way back machine on the internet where you can yeah yeah

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save the old the old internet yeah so um what we did in the late 90s was in the in the early days before anybody knew any better we set up these old dumpy broken down Windows 95 computers and we set up macros like literally like remembered keystrokes using programs and we cycled through monster.com and the job websites and every night we would we would download every resume posted to monster.com like every single one of them and it wasn't even against their terms of service and um then we would scrape job postings and then we launched websites where for $5 or $6 you could send your resume automatically to a bunch of employers and we were

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making like $70,000 month wow but we were spending $80,000 a month we were terrible business people like I was using you know the old thing like I was using a door as my desk and and we just R we we had our internet costs were so high back then it was so expensive to have like highspeed internet and whatever else so we launched a bunch of those websites and all of them made money and all of them failed because we spent all of the money like we were terrible business people BR ah but yeah from here I would invest as that say often don't invest in an entrepreneur on his first idea it's better they

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try and let let him fail a couple of times and get the second get the third that's true in the investment world too you see these the the guy that lost like9 billion in the natural gas trade up in Canada whatever the name of that firm was a or whatever that guy's managing money again John Merryweather after long-term Capital Management they gave him money again like I think fail they almost think like oh he he learned his lesson like he learned their lessons and they won't do this again it's really weird it's true and I mean I think as long as you're uh as long as you're courageous enough to to enter the battlefield and

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and take and take the mistakes and take the roller coaster it's it's okay because you do learn as long as you do learn I mean if if you it's like if you it's like a hangover if you're drinking too much and you hung over if you're 40 and you're still having those crazy hangovers then H you're not learning but it's okay to to make the mistake one or two times and and it's funny you bring that up because today's the day after St Patrick's Day and I don't I don't ever drink but there's an Irish bar downstairs and me and my friends went down there and after 11:14 p.m. I don't remember anything I'm glad

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I got back up home like H but you drink occasionally but uh but not only once in a while yeah I no but it's I I used to do a lot more I've stop now because to to run a business or to do to do any kind of anything worthwhile it's better not do it is absolutely true yeah 100% one I was yeah I was introducing everybody to each other in the bar and they were like how do you know this I'm I'm like I just dragged them across the bar like I don't know this guy at all like I was having a great time ah but it's good once in a while but in

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terms of H the million dooll question for me because it seems that like I I hear a lot of people saying now Forex is a scam it's all leverag it's it's x y and Zed you should go into microps and then people are saying now microps are a scam it's it's all mark at the market so you know you've been in in the industry this long is what's the advantage and disadvantage of each yeah that's a really it's a great question so I haven't traded any currencies for a long time but so I got into it for the leverage and it still has a lot of Leverage um so currencies were great back in the

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day where there was a lot of Leverage and I mean like the the mid 2000s it was great because there was a ton of Leverage and what I would do was and this just sounds so stupid and no one believed me I even traveled the world in 2009 I went to like 32 cities but I would buy the pound Yen New Zealand Yen ay Yen I would buy those in one account and it refco or fxcm I loved drw ni from fxm he was so good to me um and I would buy them there and those were high interest bearing and so every day that you hold those you would get paid interest and back

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then the interest rate differential was 6% between 0% in Japan and 6% in the UK but you got a thousand to one leverage so you you could make 6,000 per a year if you bought pound Yen and just held it but what I did was I went to CMS Forex and I said if I open a thousand accounts for you because you know I had a podcast and whatever else if I open a thousand accounts for you will you give me a no interest account and I promise I'll Margin Call it you can just B book it and they were like who what who are you what are you talking so so what I did

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was I would buy pounden Ken aen and then in CMS Forex I would short it and I wouldn't be charged interest in that account and so pound New Zealand all of them were just going straight up all of them were going straight up because the interest rate differentials and that's the only game in in Forex is interest rate differentials and so they would all go up and so the accounts that were short those would Margin Call and they B booked it so they just took all the money they were just making my full account and then I would just re fund that account with the profits from the other one and all I was making

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was interest One account would Margin Call and then I'd hold the other position for one more day and it would I'd get a little juice I'd get it Juiced up a bit and I did that for four years and at one point we were using spreadsheets and moving $6 million back and forth and I wasn't even trading I was there was no trading I wasn't a Trader I was literally just moving money back and forth be you know between accounts that was that was the greatest trick I ever did and only four other people I I probably spoke to 2,000 people only four other people Don wolanin in Orange Connecticut he did it he put

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his girls through college with it and then like three other people and everybody said that is such a there's no way that's going to work and I think that just about every other thing I've ever tried in the world of currency with the exception of some Bots everything else just doesn't work because there's no Edge there's no way to there's no way to trade the news there's no way to antici it's so so difficult because there's only 28 major currency Pairs and you can't evaluate each country like you evaluate a company there's no it it it's just it's all interest rates and it's all super long-term moves and everything in the middle was just noise

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it sounds to me that you've got that kind of entrepreneurial um creative mindset where you just look in fall uh gaps in the market I remember there's a tra I end while B called David hail I'm not sure if you're familiar with David it sounds familiar 20 plus year Trad and he would trade glitches in the market so he'd look for a market in efficiency and then just capitalize on it yeah the back in the day like in 2004 2005 refco Canada oh I don't know where all these 4ex firms came from back then but it was a wild west and refco Canada the dealing desk updated prices manually like they would manually approve each

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new quote but when um news came out they were delayed by 10 seconds and so you could actually just 10 seconds before the it was so stupid some of those things were just glitches like stupid things that shouldn't have worked one time my friend Nick Barker and I and I don't know where Nick is now we built a bot that would constantly request to trade outside of the spread so it would try to um buy at the bid and sell at the ask and so we sent a hundred orders every minute and then we sent a thousand orders every minute and then we sent two ,000 orders every minute until we were sending like 10,000

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orders a minute and uh we were trading at inbank FX and one we like we take $2,000 and run it to 30 run it to 30 run it to 50 run it to 60 and then one day we sent 20,000 orders a minute and we shut the whole the whole thing went down went down for two days and um two years later I went in and I became the chief Market strategist the TV guy for interbank effort ohow nice Todd crosland bless his toll he goes so what was your first experience with interbank FX and I made the decision to go ahead and tell the whole management team the story and they were like yeah

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we were down for two days that was not I'm like well um but that's what I did I would find these like inefficiencies or glitches or whatever and that was great and Todd crin of interbank FX was one of the greatest entrepreneurs of all time the other thing when we were there at inbank FX The tra this is okay this is one of the best things I ever learned about retail Traders at inbank FX you could see if the the book was 51% long the Euro for example so you could see if retail Traders were net long or net short Euro Yen or whatever and what we found is that typically they were right at

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the close at the New York close if the book was long Euros they were right actually over the next 24 hours the Euro would would 90% of the time or more would would end the next day higher the problem with for retail Traders was they traded so big they would stop out before they got the benefit of the move and we we tried to launch an an a fund we tried to launch a fund that Traders could invest in and it would trade the book and so we so instead of us trading the book which would be I think a little bit problematic we said let's offer it as a product everybody thought retail Traders

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were so bad then no one would no one would do that and it was like the most obvious and I bet it's still true I bet on mass I bet retail Traders actually pick Direction correctly they trade so big they can't survive the move that goes against them yeah that makes that makes a whole lot of sense because the retail Traders are trying to pin a little bit amount of money into a big amount of money and it it means taking too much risk but so your background is in marketing or some of your background is in is in is in marketing and advertising just my background creative is yeah I mean my friend Bor

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ber he's an fx Trader I don't know if you've ever talked to Boris but he's in New York City he's been a friend of mine since the very beginning of Forex he and Kathy lean built daily FX the first website and ashro lah and Kathy and we were friends from the very beginning and Boris used to say while I was studying the markets you were studying marketing and I said to Boris I said you know what exploitive exploitive I was doing both I was doing both and yeah I mean I yeah I spent a lot of time I read Seth Golden's books I read I mean some of those had a really big influence on

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me a huge influence and I did yeah so I was building a business in the podcast and I did I loved marketing I did love it I don't love it anymore but I did a lot h no it's it's it's been my passion for I've done it for the last 10 plus years and and all and all like in different places in the world as well but um going back to trading so you were originally initially in in FX and how did you get into uh small caps large caps options I believe you I do yeah so in uh 2011 or 2012 whatever the Dodd Frank legislation when that came through it became illegal to

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hold for a US citizen to hold an account overseas so all of these foreign Brokers that had thousand to one 500 to1 leverage they all disappeared like we all got our accounts closed and there was no more there was no more Edge because leverage was the edge leverage plus interest rates was the edge you could trade interest rate differentials all day long but you had to do it with leverage because 6% a year isn't appealing and you you could no longer hedge it because you couldn't put the money overseas so I went through like the Valley of the shadow of death like there was a three or four year period where I couldn't figure out

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what to trade or how to do it and I went to options I drove out here to Austin Texas and interviewed John Carter after he took his first million he made a million dollars in a day trading Tesla and I came out and none of it made any sense I couldn't tell a from a call from a hole in the ground yeah and then I so then I got into trading some options I got into trading um like buying the top stock of the day like the runner yeah I was never good at buying stocks I'm still not good at buying stocks I'm terrible at I'm terrible at buying stocks and then in 20120 and

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20120 and 20120 and 21 I had sold the podcast in the YouTube channel and I was doing some Consulting and work with Tim Sykes um and I just love Tim to death and I looked through a list of people and I looked through the like the top traders in the syes family and I was like these are all short sellers these are all like Jack and Kyle and all these people are short Sellers and I like well I'm skeptical I like sort of like finding the glitch and these guys are really murdering it these guys are killing it and that was like my that's when I really that was the it probably went through eight

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years of back and forth and whatever else and then I started shorting in 2021 and then a lot in 2022 and that's almost like 90% of what I do is short selling now yeah it's it's when I look at has TR are you short selling micro cap stocks or it's a mix of small andar I'll do both I'm even starting to do large cap stocks after earnings money losing large cap companies that report better than expected earnings and the stock Pops I will short that um in after hours and hold till the next morning but yeah that's actually great for larger accounts because you can trade more size and it doesn't cost anything to borrow

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those overnight but yes I'll do a lot of micro caps to oh and the interesting thing it's like I think maybe it was like a secret in 2015 Short Selling these Mega C stocks it was Tim who was the yeah the F the father of short sellon The Godfather of short sellon back in the day I remember and then I think somewhere along the line the secret got out too many people got shot H or B make us caught on and we get the crazy squeezes so it seems like long Traders have a much lower winning percentage but in its fer but to be a short you need a lot of good discipline and risk

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management which brings us on your profit chart which has zero crazy when I look at your kin for profit chart I know you knew to K for I think it's up 300,000 or something so far um there's no crazy uh downtrends what you attribute that attribute that attribute that to thank you by the way so I'm very interested in this topic because I hadn't thought about it until you brought it up and I I guess I'll answer you I'll give you the short answer but then I have a longer scary story answer to that question that I want to I want to tell a story about a giant mistake that I made but I think

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number one I don't care number one I don't care I don't think of this I don't sell anything I don't care about my reputation I don't care about what people think of me so first of all I don't care so I'm not trying to do anything in particular number two I'm super over capitalized so I'm trading position sizes that can withstand enormous moves against me like I could I can stay solvent longer than a micro cap can stay irrational to quote like I can stay I can stay solvent forever so now I don't really we'll get to this in a minute but then the third one is I trade so small that generally speaking nothing

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bad really ever happens to me so I'll I'll short um and stock selection is a big key but I'm very strict on which ones I'll short but I'll short something like say at $4 and it'll go to 12 and for some people from 4 to 12 is three margin calls like they they it would but to me that would be a draw down of maybe s% yeah I just don't even look at it I trade in the morning I don't look at it again I so it's this I think that's what does that's what it is for me is I did take a lot of risk when I was growing $4,000 accounts into 30 I

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was just doing this over and over as practice and I kept doing it over and over and I was taking a lot of risk then because the accounts were smaller um but then and so then I if we could follow up on that but three weeks ago I was in Mexico for a group therapy men's retreat with uh Dr Robert Glover the author of No More Mr Nice Guy love this guy I've been a fan of his for a long time he invited me to come down to Mexico and I was reading this book about becoming a better man and I was going to throw the book in the trash I was angry and I

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was like I don't want to take responsibility for my own mistakes I'm like I just was having this moment and I I shorted mlgo and I hammered on it way early 24 hours later on that Friday I was down $100,000 in unrealized losses and I was that's the worst that's 10 times worse than the largest draw down I'd had ever wow and I'm tell I was like and I and I said listen um it made this mistake the old me old me would take the loss and then be down and out for a month or two months or just depressed and ashamed and whatever else and I I said this doesn't happen very often and

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I took a deep breath and I just uh I just faced it head-on like I just went headon and it it it got worse before it got better but I just closed that um three days ago for $29,000 gain it's the largest Short Selling gain I ever had but I went through that was the worst that was so bad on my part and it had nothing to do with stock selection and nothing to do with anything except for trade trade trade size the the all you could almost short anything if you are over capitalized you and I just that was such a mess up for me me and but I had to like look stare

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in the face of death and look at it and for me that's huge I know Jack's probably I'm Tim grani right some of the old stories of Tim gratani being down $400,000 quitting for six months or I think those stories I owe a lot to Tim gratani and the concept of the Lost Journal like I owe a lot to those people who you could see how stressful it was for them to go through those things and I just I don't want to go through that and it was horri like that those few days that I was in that trade and down all that money I was so embarrassed I was so ashamed I was that

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was rough that was really rough but I mean where did you learn to shortell was there something specific or did you watch something or were you tracking stats or all right we'll just we just okay I would walk this is like all right I have so much respect I don't I don't have any a to grind with anybody and so I want be careful about how I phrase this because I don't think I'm that spe I don't think I'm that great and there's so many other Traders on kinfield that are murdering it and I'm the least of all of them and and but what I'm about to say is gonna I don't want it to

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sound the way it sounds but I watched as people were trying to learn how to buy micro micro micro caps and how frustrated and disappointed and how unsuccessful they were that every day there's nine micro caps that jump jump jump and the next day eight out of those nine are are back to where they started and I kept kept kept watching retail traders that had that smart people good people that have small accounts and they were taught like you can you can find the number one stock of the day and you can buy it and then you can and I couldn't do it and I couldn't I couldn't meet anybody who is a prim I'm

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I'm not going to say that it was hard for me to find somebody who primarily day traded and bought stocks who published their track record but I found like Jack is trans I I think Jack is like a true American hero in the world of trading he's transparent he tells you about his ups and downs he's he's never shied away from showing you the worst thing he's ever done but he's made a significant amount of money from shorting and he does all kinds of stuff now and I'm not going to call him a short seller but Kyle and Jack and Tim grani and those folks it was more the concept than anything else the concept

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was like I can't figure out how they're doing this but I do know that in the universe of day traders that publish their results the short sellers are murdering it yeah and so I spent um I just spent a huge amount of time sort of reverse engineering what do what do and this is where I want to be careful like what do people who teach people to buy stocks teach what are they teaching you to look for and clearly a lot of times it doesn't work work like a lot of times it jumps up for 5 minutes and then it spends the rest of the day dropping and everybody's holding the bag and so I

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said well what are the characteristics of those companies what what's the difference between the one company that keeps going up and the seven or eight or nine every day that fall and are lower than what are the characteristics what are the differences between those companies and I just started taking notes and when we share my screen later I've logged almost every single short sale I've ever taken I've saved a chart and analysis and I saved everything I I documented the chart and marked it up for it's over 2,000 trades probably now and I learned a lot from and I still do it now if I don't have if I won't document the trade I I

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won't take it I have to stop and chart it up and stuff that's going to be interesting this to to to to see but just kind of one one final by see that I'm just thinking before we ask a few questions about Kim for and we'll get into your charts and you're 20 years in in in the business for someone who does have so much capital for someone who is in a smaller account but they still want to short sell so that's the edge do you have any kind of tips or advice for someone who can't hold is it a a trade smaller trade really small or what I love this question because uh so

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200 200 200 23 all I did was start with four I don't know why 4,8 it was a weird but I would start with 4,000 or 4,800 and then I would run the account up and I did that seven times so over and over and over and over over and over again I just kept doing that and then in February of last year year year 2024 I did a thing I said you can come for free to my office I don't have an office but I rented a conference room I said you can come for free if you want to come talk about shorting because I did this all last year and I finally like

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and I shared it and everybody started with a small account in February and all of us traded the same things in the same way as a really small there like 17 people in the group um Jake Hartman who I think he may start posting there and a bunch of others um and here's what we decided if you have a smaller account and you want a short or long like it doesn't matter which it is because it's not really that different you have to understand that as a percentage of your account you are going to experience percentage draw Downs that are higher than when you have a $30,000 account or aund you're just going to have

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to accept that it's it's scarier to trade a small account because you can't get anywhere otherwise and also if you short 10 shares your overnight borrowing costs and your stock borrowing costs outstrip all of your profits you have to trade at least 100 shares and if you have a small account a 100 shares can you could be down $500 overnight and you have to hold them overnight because your account's small and your pattern day trader it's like there's all these problems with it and what that did for us was we zeroed in on stock selection so if you're going to trade stocks buying or selling and day trading and you have a pattern day trader

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account in the US you have to figure out what are the criteria for stock selection for a buyer for example no threat of dilution um has uh 40 or more months of cash left as a company you have to learn how to analyze this stuff um and has a high percentage of institutional investors you could find all this on Yahoo and stuff those stocks are the ones that tend to run and so if I were going to buy stocks I would only trade those ones and I would hold them overnight in every situation so I could take as many trades as I wanted every week we and if I were shorting it would be the

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the reverse of that and I would have to hold them overnight and I would have to be great at stock selection and I would have to have a high win percentage because when things go wrong you don't want to give back like four weeks of profit just on one bad trade and and that is the that is the struggle but you get really really good if you force yourself to trade a small account hold everything overnight and concentrate on stock selection and you stop taking crappy you know stocks and you stop all of that other Madness and you just focus on what is what are the characteristics of the stocks that will run and it's

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not technicals it's usually it's something fundamental about how much cash that company has left or they they have FDA approval to Market something for the first time plus they have 40 months of cash left plus they have a high number of percentage of institutional investors those companies will run every other one of them will not run for the rest of the day they will not go and and the conv yeah I think having a small account if you're open to taking the risk and you're willing to hold overnight and you're willing to document every single trade you take and you have you you public you publish your results you transparently publish everything that you do

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so there's no secret trade and you can't take us one on the side and lose a by like you have to be willing to like open yourself up to criticism and and face the music because most of us hide our losses and we're ashamed of it like you have to be willing to open up about that stuff and there's so much that comes from that but those are all things that are very difficult to do so yeah so quality over quantity and and transparency yes yeah on the subject of transparency you're a transparent Traer I think it's from is it from February last year is it about one one year you've been transparent now is

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it yeah I think it's either January of last year or December of 2023 somewhere in there somewhere around there yeah probably February so yeah so the big question is why now it's funny you say this so I don't sell anything anymore I sold a lot of stuff I worked with Agora I worked with Tim syes I loved him I love like I I've worked with a bunch of people but last year year year um like when you when someone sells stuff in the world of trading God bless all of and I did it every Do It um I wasn't always transparent and I and I honestly thought like if I'm transparent and I show my

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mistakes people will be less likely to buy from me or whatever there and last year in February when I just sort of let it all like go and I don't want to sell anything anymore and I don't want to I don't want to do that anymore it's weird that at the point where I didn't have anything to sell anybody anymore I thought I should have been doing this all along I should have been showing this all along um because I learned so much from I I still do it I go to kinel and I look at what the top people on the leaderboard are trading and I look at what they did and how long

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they held the position and how many shares they traded and I look at their entry and then I go to a chart and I say wow they traded 40,000 shares and it went two more dollars against them or whatever and I learned so much from that and I thought well I don't everything that I do now is free I'm going to open up my trading results and my trade journal and my I'm just going to open it up and uh I'm I'm like I'm embarrassed that I didn't do it earlier Tim sites was on I heard Tim talk about it for a long long time and I never took him I never I'm embarrassed I

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didn't do that sooner he he led the way on transparency for a long time but yeah I know he he's had he's uh ran profitly for for many many many years now 10 probably 20 years now um but I mean in terms of so for example if someone is teaching trading would you say it's almost an obligation that you should that's like 15 years ago 10 years ago faren off I think you shouldn't there's no real way of showing your results the tech wasn't quite the except profitly you can show Broast statements but it's just a PDF kind of thing yeah do you think it should be an obligation now if you're teaching you should

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verify your results in some real way or do you think I think yeah for me yes for me there's no question for me no question like there's people who teach and what do they say people who can't do it teach it and I I can't speak for other people and it's none of my business what other people do but for me when I started publishing the results I results I results I realized that I had had an obligation that I didn't I would do webinars you could see my account all the time and I would send out my brokerage statements but for me I realized that it was an obligation for me and it's none

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of my business what other people do but and I want that's why I want to be careful about it because I could very easily say something like if you're not actually trading you have no business teaching people how to do it but I don't know if that's true I don't know if that's true and that's just very convenient for me to say now that I actually do publish the the the results so yeah I think it's like if I were well let's do this if I were going to hire somebody to teach me how to dress better and they looked like a slob I wouldn't do it if I were going to hire somebody to

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teach me how to do real estate but they had no verif viable proof that they'd ever done any real estate estate estate investing I would there's no way if I was going to hire somebody to do my taxes but there was no evidence that they'd ever even done their own taxes so for me I was like wait a minute so if I ever do teach anything again or charge for anything again which I never want to but uh I think it's an obligation for me for sure that's pretty powerful statement coming from someone those 20 plus years in the business as well and and and the other the classic example is um getting a personal

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trainer who's out of shape yeah right and it's already if you're selling stuff in the world of trading you already have the defense mechanisms are up the people that you're talking to are automatically suspicious if you can do it why are you teaching it if you can do it so well why are you charging for it listen I don't have any problem people charging for their time this is America like America W capitalism one so I I don't have any acts to grind with people who sell stuff but I think it's fair for someone watching a webinar while someone's going this is the greatest thing that ever happened and it's the secret to selling options

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on AI like it's fair for a person watching that webinar to say show it show me what you show me what you've that's fair that's fair to say and I don't know if the industry has an obligation to do that because it's a free country but certainly certainly it's hard to imagine like how if they can't do it why are they talking about it like why if you can't like that would be but I didn't do it like Stephen I showed I showed stuff I I was more transparent than I'm saying but I want to just knock myself down a peg like for a long time I would show my account and show my statements

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but I didn't have them verified and and I think if you're not verifying your verifying your verifying your trades and you can you should I think it's just better you're a better Trader if you ver you're just better at it if you are public about it no absolutely and I think well there's there's two SES this kinding well we can't false every mentor to verify we can't encourage the public to demand verification and that's course that's the other s of the kind and look for a mentor you could say look I'm I don't want the pressure of trading live every and then kall would say well did you know that you could just upload 2020

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did you know that you just upload that year did you know you could just upload 2024 when it was done just show me one year show me one show me one year of half a million and and that's okay Tim katani actually when he when he I bought a course of Tim gretan seems like a long time ago and it almost seemed like the whole course was here are some stories about these horrendous losses I had yeah and I found that to be so instructive and so helpful and if I were going to do a maybe I will do a public webinar and I'll talk about my big unrealized loss in mlgo and where I

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got in wrong and how I made it worse for myself and what I would do the next time and how I dealt with the pressure of seeing a giant loss as it was going and didn't lose my and still faced it like that to me is more helpful than hearing someone go well you get it when the squiggly line crosses the other squiggly line and then it goes down to this squiggly line that doesn't help anybody it's what do I do when things go wrong because if any of us could take back our worst five trades we'd have so much more money so the real question isn't can we make money trading it's can we

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pre can we keep ourselves from giving it back that's all you have to spend time on that's the only thing you need to spend time on is learning how to not give it all back it's 100% correct and that and look when when you are short selling and your win rate is as high as 82% or 83% or n out of 10 stocks SP on the day it's not a case of how difficult it is to to trade it's a case of what do you do when it go when that one goes against you how do you handle it and that's the million dollar question and that's why a lot of Traders can make money

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but they can't make money long term cuz what do you do when you win win win win win and then you don't know what to do when the one that one goes against you and it always will it they will all no you can cannot prevent you cannot prevent a bad experience from happening whether it's a mental error emotional trading a trade size error a mistake on your technicals or you fat finger it you we are going to have all I did was whiteboard on Sat Sunday morning I with my best friend we whiteboard and I was like I'm ready to I want to I want to make a little bit more money every day

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because I was doing two sometimes 2,000 sometimes a thousand sometimes four but I wanted to do more and I said I can't figure out a way to talk about increasing my profits without setting trading goals that are going to get me in trouble and he said well why don't we do this why don't we make why don't we run through a bunch of scenarios where your loss is huge why don't we run through a scenario where you're down $140,000 on a trade I'm like why are we doing this he goes because if you increase your trade size the profits will take care of themselves you just take profit at the same area as you always

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do and it's really not that big of a deal it's the loss that's that's that's where everything's going to get messed up and so we spent this time and he said all right you're down 140,000 and the next higher level on your short is $3 away and that would be a $200,000 loss what are you going to do and we went through this scenario where I said oh okay I'm going to throw off some of the position size I'm going to dump it and then I'm going to put it back on later at a higher level and or and we went through these scenarios and I'm like okay and then I'm going to call and

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I have this whole thing now because I in if I increase my trade size the the the money will take care of itself it's the days where it goes wrong that I have to be ready to see larger numbers than I've ever seen before and you're gonna see them no matter how hard you try Jack Kellogg's a perfect example he's so transparent I love that guy because he'll take a giant giant loss and he'll admit it and he'll get upset and he'll talk about it and but everybody just focuses on his wins and God bless him he made a million dollars last month trade whatever it was God the guy so's such a baller but

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to me it's not because he made a million dollars in a month it's because he showed the losses that he makes that money because he's learned how to not be his Own Worst Enemy he got out of his own way and I think he did it by being transparent Stephen like that's the thing he doesn't hide what he does and that's just like that's that's the gift that never stops giving yeah that's an interesting observation Jack's a bit of a Sly an American Prodigy but um I was going to ask you who your favorite trailer is on kall I heard you live up to on the leaderboard but I'm not sure if it's already answered

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yeah I like to Kyle Williams I lik looking at what and some of these we some of these guys some of these people have these weird names and then I look at their trades and it's all these options trades and I'm like is this the Matrix like what am I looking at I don't even know what those are doing so I do I like those ones I'm on the hunt for Traders who are day trading buying stock stocks and holding those stocks for less than 24 hours I'm very intrigued by what they're doing so I I spend maybe 30 minutes a day on Kino and I go through the people on the leaderboard and looking

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for people that bought stocks and then I go to the chart and I see where they bought what was the max Excursion how far did it go against them how many shares were they trading um and what does it appear what does it appear they were doing when they entered what time of day was it and then I'll go to the company and then I built some things with AI where I upload their earnings releases and their 10ks and their um 10 Q's whatever you know depending on what they have and I it will start analyzing it and I'll start analyzing like what are the characteristics of these companies so I have this database of

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people who took day trades and bought stocks here are all the symbols and and and then I put all of the collected Research into the AI and I say what are the what are the common characteristics and it's 40 months or more of cash left on the Run way more than 20% institutional ownership a market cap over a 100 million like these are all just they're they're it's it's not like speculation this is all of them share at least those things and I'm like oh so if a stock Pops in the morning and it has those characteristics I might start buying stocks Stephen I might like I might do something that I don't usually do

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that's very interesting thank you for sharing that um do you want to go into some charts to wrap up yeah sure it take me a second in here to just get this all out um this is my trade journal and I mean if we want to we could I don't know how many slides there are in this Google slid stick let's see 798 so there's 798 Short Selling trades that go way back I documented almost every single trade I took for a long long time and you could start to see characteristics they start looking EX actly the same they just they look they look like this over and over and over and over again and

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today I shorted and we we can go to the triart I'll whatever question I shorted VC when it was like right up there I borrowed I actually ended up buying 10,000 shares and I shorted it it jumped up and hit the current monthly pivot up here dropped back fell below the volume weighted average price on a one minute chart and I shorted it and and I know that it has an Institutional ownership of 10% so that's lower than the threshold it is a market cap under 100 million you and I Stephen could buy this company for 2.4 million I don't think we should but you and I could go money quickly so um and I'll

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track the long-term chart and like to look at one of the questions I'd like to ask is does this stock tend to drop every single time it time it time it spikes and I I love to see that I love to see that and I never hold long enough so today I shorted 5,000 shorted 3,000 more and then I didn't even hold it for this move all the way down here but they you know that's what you can ask me anything you want I don't want to interrupt you but no no it's fine it's fantastic to say do you have a a general so you've already kind of outlined your your fundamental fundamental criteria of

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what would be along and the opposite would be a short but in terms of your execution I looking for anything more than pivot Points or a certain percentage up before you start short or is it just against resistance resistance resistance or I love to see a few things in particular um it's it's you don't really see it here on the chart but this purple line here this is the current monthly pivot and I'm going to try to I always long I'm such a long- winded blow hard but I'll try to make this quick in 2009 2008 2009 a woman calls me on my cell phone and says hi my name is whatever my husband Gary

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Fluker works for Julius bear um on Wall Street and his birthday's coming up and he listens to your podcast and I want to give him the gift of sending him to your office for a few days to trade with you as a birthday present I was like well that's nice of you to you know offer me as a birthday present whatever so Gary comes out and he pulls up his his Bloomberg on his laptop so we log into Bloomberg and we download hundreds and hundreds and hundreds of thousands of days of data and we were we spent four days asking the question How likely is it that a stock will touch its monthly pivot point

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in the month that that pivot point is created and the numbers were 85% or higher and it that spun off a ton of research so what I like to do to answer your question is I like to see on a short a stock jump up to and hit the underside of a current monthly pivot and go down stocks in a long-term downtrend will typically rise up to their pivot and then bounce off of it and fall stocks in uptrends will tend to go above their current monthly pivot bounce off of it and continue up so I'd like to see it either bounce off of the underside of the current monthly pivot or it I like

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to see it above that level and like to use that current monthly pivot as a Target it's a it's just a magnet for price and the first time I ever started BR pulling this stuff up I was like shocked at how reliable pivots were um V this is VZ I don't even remember why this is here but it jumped up to the underside of a pivot on this is a longer term chart and then it's falling all the way back down it will eventually fall all the way down to like this pivot right here it will it will go there so if it has an upd for example it might jump up to the underside

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of this pivot I'll short it and I'll try to ride it all the way down to that level that we talked about over there so that's another thing that I'm doing and you can see here companies that lose money will jump up to the underside drop down they will jump up and drop down there's just it's very consistent it's very reliable they've got to meet the fundamental characteristics first they've got to be a terrible company that's blah blah blah but as long as this criteria are satisfied it's it's pretty reliable no it's interesting to see that you're trading pivots because I think I I was probably learning to trade for a few years before I

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heard anyone talk about a pivot but it's the guys who've been trading the longest time generally use them and that that must be a sign yeah there was a guy that came out to my office he retired from the floor in Chicago and he brought his jacket so I could see his refco jacket and um he reached in the the pocket of his of his Trader coat and he pulled out this note and it had the daily weekly and monthly pivots on them and I was like why is that there he goes that's all we did we would trade price we would trade it as price moved away from those pivots and then we'd trade

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back to them and as a market maker that pivot was like fair value for them during the day wow and it stuck in my mind that stuck in my mind and he said when he got off the floor he wanted to learn how to trade with pivots and I was like honestly I don't that was back I didn't even know a pivot from a hole in the ground but now it's like a major major element of what I do for sure like um when VC the last time I shorted it when it jumped up here you know what it was doing it was just reaching up for an old monthly pivot that had not yet

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been hit that's all it wanted to do it's all it needed to do so sometimes we ask as short sellers when is the move going to be over when will this pain be over that helps me answer that question how was just the sector news and and and uh what you're shorting I I am I don't care about the news at all no I don't I I just don't care about the news there was um there's one exception to that that happened over the last two months was um at the beginning of every year I write down on a piece of paper what I think like the theme of the year is going to be

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and this year was Chinese stocks recovering and Robotics and there was a there was a show in Las Vegas at CES or whatever about Robotics and Ai and that week these these money losing micro cap robotics companies were just flying high and I we stayed away from shorting those stocks that week so if there's a major theme going theme going theme going on you'll see like for a while there last fall all the companies were like micro caps were like we're going to announce a coin we've created a meme coin or we're going to stop um making disposable diapers we're now going to mine for Bitcoin that all these and we wouldn't short those ones

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because that was the hot topic of the day and the nice thing right now is there is no Hot Topic everybody's Topic everybody's Topic everybody's bearish which is bad because nothing's going up but so there isn't one of those right now but occasionally there's a topic that hits when Co came around Co you wouldn't want to short a company that was working on a vaccine we're going to have a Time some time this year where um companies working on bird flu vaccines micro caps and even micro caps that have a headquarters at a UPS store that don't make any money they're going to announce that they're working on a bird flu cure I won't short

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those ones so that will become a theme and I W I won't get in the way of the mass like when when the popular Madness and delusions of crowds takes over I will get out of the way of those kinds of news events but otherwise I don't care about the news um for people who haven't traded long though they might not know but there's been coins and then before that vaccines and before that EVS with the Tesla runup and the other electric run-ups and then and then marijuana and then defense Whenever there was a Las Vegas shooting that you'd have um police cameras there been all sorts of things over the years yeah and they

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avoids do you have a sense of like um The Daily the daily patterns are you looking for the first R days the the Gap and spikers or or or just nope I don't I don't I'm embarrassed I still don't know what a first red day is like I'm not I I don't know what that is I've heard it in doing well though you're up 300 Grand you're up 300 Grand since you've opened Kim for obviously you've made a lot more in the past beyond that but uh but you're up 300,000 shorten and it's it's just from studying the kin for charts um Ling through the day analyzing what's going on based statistically yeah and uh

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running the probabilities probabilities probabilities basically yeah what was the other one you said the first red day and then the other one was got so I would say that that sounds like what I that sounds similar to what I'm looking for I'm looking for money losing companies to jump 30% or more in a in the pre-market session so that would that's probably more similar to what I look for but uh yeah and you're looking at them to come around the pivot Points yeah I'm looking for them to come around the pivot Points I'm looking um for signs of exhaustion I'm looking I'm looking I'm looking for one of the things that I like have written

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everywhere is just wait wait wait wait comma wait comma wait comma period like wait wait wait wait like don't rush in to any trade ever just wait and I might miss it but just wait just hold off and that has been wonderful that's been great yeah I think there's a with short tell and I've done it for a number of years as well and I think there's only two real ways to go wrong and the first one is getting in early and the second one's getting in too big and as suppose the third one is not nor to take a loss so there's only there's only three ways you can go wrong with an 80%

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Win race there's only three people do whatever and I would add the fourth one for me is and I love those that you said fourth one for me is stock selection yeah of course yeah trade companies trade companies that don't have enough cash to survive the next 12 months what you can look for is in their um 10 Q's or 10ks depending on whether it's a foreign company you can look for the um they have to give a notice and I'm I'm nervous to talk to you so I'm forget that but they give a notice that they don't they have to put it in their their quarterly filings that they don't might not have enough

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money to survive the next 12 months and it's a mandatory notice yeah H that's that's a big one around for as well um yeah we're coming up to towards an hour do you have any final tips any golden nuggets any stories any memorable stories in the industry when the last 20 years of trading it blows out on you can and you can stop sharing if you want okay um I just would just say um I just have so much respect for what you're doing and I have so much respect for the Traders on the lead leaderboard um like I'm not in the same league as any of those but that it is it is amazing

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in this day and age that any retail Trader can go to the website and they can start the process of reverse engineering what someone successful is doing and I would focus most on the losses look at mine look at any Focus your attention on the losses and look at what they did and in every case you'll see if it's uh if they're buying stocks you're going to that they got in too late at the top of the move if they're shorting stucks they got in too early at the bottom that there's so much to learn from that and some of these people on K I'm just like they are they are crushing it they are

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making so much money and it's out there for us to look at it's it's it's it's amazing we end there thank you so much for your time Rob really appreciate it really appreciate you coming on and and for everything that you've shared in the community thank you thank you I appreciate it

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Ep. 1 Of Transparent Traders, with Millionaire Day Trader Edu Trades

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📅 Uploaded: 2024-07-05

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⏱️ Duration: 0:58:09

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👁️ Views: 4,730 (Rank #1 of 1)

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💬 Comments: 30

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📼 Playlist Progress: 1:56:18 of 0:58:09 (200.0%)

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👉 About Edu Stocks Trading Club: https://www.stockstradingclub.com/stc60093475

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👉 Check Edu's trading performance on kinfo: https://kinfo.com/portfolio/17255/performance

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👉 Unlock $7,500+ Industry-Leading Trading Tools FREE : https://centerpointsecurities.com/kinfo/

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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Welcome to episode 1 of our podcast, where we dive into the minds of top traders who have verified their profits on Kinfo!

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In this episode, we sit down with Edu Trades, a standout trader on the all-time leaderboards with $1.4 million in verified profits.

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What You’ll Learn:

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- Insights from a top trader on kinfo and how to achieve and surpass major milestones.

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- The importance of risk management and staying process-focused.

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- How to leverage advanced trading tools to enhance your strategy.

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- Tips for new traders on developing a winning mindset and robust strategies.

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- Real-life lessons from Edu’s trading journey and his approach to mentoring others.

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Edu shares invaluable insight on how to stay motivated, manage expectations, and continuously learn to become a successful trader. Whether you’re just starting or looking to refine your strategies, this episode is packed with actionable insights.

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Join the conversation, unlock new strategies, and take your trading to the next level with our podcast series. Hit the like button, subscribe, and turn on notifications to stay updated!

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#ExclusiveTradingProgram #ShortInventoryTrading #SuccessfulTradingTechniques #TechTrading #TradingInsights

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CHAPTERS:

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00:00 - Intro

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00:58 - Edu's Journey to 1.4 Million

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03:51 - What Got Edu to 1 Million

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11:32 - The Best Advice I've Heard in a Long Time

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17:23 - Does Emotion Help or Hinder Trading

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22:17 - How Emotion Affects Trading

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23:06 - What's Your Why

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25:55 - Why You Love Kinfo

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31:14 - What Would You Say to Someone Selling a Course and Not on Kinfo

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34:32 - Who Is Your Favourite FURU

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38:55 - What's Your Thoughts On Roaring Kitty & GME

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41:18 - Learning From Everyone At All Times

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45:16 - How Did You Get Your Personality

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47:42 - Advice For New Traders

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49:42 - How Has The Market Changed

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53:54 - Why Do You Win When Most People Lose

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56:37 - The Importance of Community

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56:40 - Thank you to Kinfo

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56:40 - Thank you to Karl

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57:32 - Thank you for watching

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57:51 - Centerpoint Edge

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🔗 Follow kinfo: https://x.com/Kinfo

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🔗 Follow Edu: https://x.com/edu_trades

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🔗 Follow CenterPoint: https://x.com/CenterPointSec

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Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal, is a scam,

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we have a true standout Trader who is on the top half of the alltime leaderboards to get to the one milon I think it's it's the the main thing 1.4 million you cannot lose the appetite of learning adding trades like in an Ideal World we should all get k for that's incredible that's risk management right welcome to a brand new 10p part podcast transparent Traders where we're going to dive into the mains of some of the top traders that verify their profits on kall first of all I'd just like to let everybody know that Kino pro and pro plus are now absolutely free for a first month free trial so log in and clip upgrade

S07-P0056 original line 66, characters 1800:3624
to access our Advanced trading reports and analytics but today for our premere episode we have a true standout Trader who is on the top half of the alltime leaderboards 1.4 million in verified profits edu trades how are you doing edu how's it going my man good to see you good to see you so good to see you I haven't seen you in a while so I'm pretty excited to be here now we haven't actually spoke since some of the older podcast days but uh you've been one of the main guys who's always been consistent with me always reached out always said do you want help if you need help always offered some like a help

S07-P0057 original line 66, characters 3625:5319
in hand dude you're one of the only guys that I've met who genuinely want to help other people and there's often not anything back in return it's it's just to be a good person like I don't know where you get that from bro I think I think it's a matter of I I I was in such a bad place when I started trading and and when I like struggled a lot with trading so I think you recognize that struggle in in other people so you try to make it easier but I think doing this for a while I think people must have their own insights you know in a way uh of course you're there

S07-P0058 original line 66, characters 5400:7119
to as as you're a little bit more experienced than than people that are one or two year three year trading you might label their issues in a way or label their their their things that they have to improve but at the end you have to to you know follow your own path and your personality brings a lot in this game so uh you cannot it it's really hard for you to follow a Trader for you to you know when you're being mentored um um um that Mentor better has some kind of insight of your trading and your weaknesses and your strength so he can help you the best so I always try to when I

S07-P0059 original line 66, characters 7120:9018
see someone that has a lot of potential or whatever I try to reach out and and whatever whatever I have to do in order for them to you know to improve a little bit I'm there you know that makes a lot of sense we're going to get into some questions just before we do get into the questions I just want to include a quick message uh from today's sponsor if you're an active Trader then Centerpoint is the broker designed for serious Traders like you Centerpoint offers Advanced trading tools flexible rooting options and an extensive short inventory to give you the edge you need with Next Level customer service when you join Centerpoint you gain access

S07-P0060 original line 66, characters 9019:11108
to Centerpoint Edge an exclusive program tail ad exclusively for Centerpoint clients with Centerpoint Edge you get free access to over 7,500 $ worth of industry-leading trading tools that you won't find at another broker this includes amazing resources like kful benzinga pro trade ideas dilution tracker and more click the link in the description to elevate your trading experience with center point where active Traders get more okay we are back hello everyone so when I last spoke to you edu you were nearing 1 million in verified profit on kall you're now on 1.4 million you've actually secured a spot on the alltime leaderboards at kall I just want to check check check what what were the lessons

S07-P0061 original line 66, characters 11109:13037
and what were the things that got you to the 1 million and then what have you learned since the 1 million that's got you to the 1.4 I think well to get to the 1 million I think it's it's the the main thing because once you get there everything gets a little bit easier in a way like um to get to that million you're you're really deep into the Milestone so you're really deep into the result and that's something that it's really counterproductive for your trading because if you're thinking about money if you're thinking about numbers every single day you drift away from the process and the process is what gets you there the process

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the doing your watch list preparing um making your plan making your your your checklist uh understand making your due diligence understanding that it's not only the micro setups and the you know and the noise on the each candle you have to look at you know the big picture those things is what will make you a better Trader not if I I'm green today or I'm Green in the week so I think one of the the best lessons that I had um achieving that million is whenever I drift away the most from the results and from that goal and from that mil and I forget about that Milestone I perform better and whenever I I I

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try to stick to the process and I try to um follow each one of the things that I learned that I've learned through the through the years it it gets easier um the expectations of making money out of the markets is what it's man it's the devil like it's so hard U to to manage those those expectations because let's face it like we we really want to make money um from the markets like that's that's the goal at the end and and that money means something to us maybe that money means freedom maybe that money means Independence maybe that money means survival even so whenever you you start traducing those trading points into things that

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you might get from real life that's when it gets tricky so whenever you're in this Quest try to stick to the process and TR try to drift away from the from the goals from the monetary goals and whenever I I cross that million everything was so smooth in a way of course you get other challenges uh I always always tell my my the guys that um the guys and girls that trade with me um and they're achieving a few Milestones I always say like once you get to a level uh it's harder in in a psychological way because now you have the result now you don't have the excuse to you know being sad or

S07-P0065 original line 66, characters 18535:20293
being in a way you know uh I didn't perform well blah blah blah no you have the result already so why are you s so that um how there's a phrase that Tony Robins says that is um success without F fulfillment is the ultimate failure and I think I had that uh because I had the result I had all the things that I ever wanted with trading and then whenever I had a really bad day a really bad performing day I felt like crap like I felt like really a really really bad Trader and start questioning myself if you know if I'm a really good Trader if blah blah you know so it gets trickier

S07-P0066 original line 66, characters 20294:22011
it gets you know scaling is a little bit different than than making it at first but I am enjoying it so much more like I'm I'm enjoying every single thing like this gme thing like I I I watch it with popcorns man like I I really enjoy every single thing of the price action I'm learning a lot and and I'm I'm willing to learn in order to capitalize in a bigger way in in the future you know but like for me what I what I think the difficulty is in is you've made million plus you know that your process is work you know that your strategies work you know that if you have a bad

S07-P0067 original line 66, characters 22012:23775
day Green Day is probably around the corner but it's that struggle for new Traders and maybe we can talk on it but it's that struggle that first of all they need to learn the pattern and they need to know what pattern works and the second thing is it's it's so much more about the money in the beginning because you need that validation not you don't want to go and buy a car you want the validation that you can make it and praying and when 95 96% of people can't those green days are not just money it's like it's a sign that you can do it and and there's so much pressure on that and it's

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and it's almost the same for you when you're on the road to a million it's like I can make a million dollars I can be a real Trader and that don't know if IU can swear but with your head a little bit especially to show people that didn't believe in you that that it can be done because everyone is like yo you're trading oh that's a scam you know and you kind of want that validation in a way and I think the way I I um deal with that is having the results in advance uh what what do I mean about that in a way you have a vision with trading and you have you

S07-P0069 original line 66, characters 25471:27169
have a commitment that this will work so you what you do is you picture yourself as a great Trader as a as the trader that makes money out of the markets and that's probably I don't know in 3 years four years four years four years 2028 for example so what you do is you reverse engineer that really really good Trader and you start behaving the same way you start uh doing the same habits that that person has and you try to fill the Gap in a way from from the guy that you're now and the guy that you want to become and that's that's pretty much how how I see it like and I I

S07-P0070 original line 66, characters 27170:28907
I'm constantly pursuing that person that I want to become in a few years and I try to reverse engineer what that person is doing so I think the best tip that I can give you in order to really make it without the results because you need that validation is knowing that the validation is there you know it is there in in the future of course and there's a book I was reading a book uh of Joy despensa uh breaking the habit of being your s that that talks about that and and it's it's really cool to to understand that you could potentially have that scenario in your life and you just have to live it

S07-P0071 original line 66, characters 28986:30691
through from from the future till now you know we we all want from now to the future but we don't know how to get there but the person who did it that's us in four years ago already made it so he's going to be the one or she's going to be the one that that lead us to to that result in a way me that's the most unbelievable advice that I've heard in a very long time the fact that the best way to to detach from the profit and loss when it's difficult in the early days is to to envisage in the future with strong confidence that you've already made it and that this loss

S07-P0072 original line 66, characters 30692:32431
that you've just had today is just part of the journey to you being your future self in three or four years that is unbelievable advice in terms of of shaping your psychology but you got that from Jord spener got that you just thought of it after reading Jo dispenser or well I'm kind of a Tony Robins guy and I have like since I was probably like 15 years old I I I always um you know hear his CDs and all those things back then but nowadays I I try to get a little bit into metaphysics and those kind of things yeah and I love the Joe dispenser philosophy U but in a way people and

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and this is where it gets through stepen because I see a lot of people that are really into the psychology and blah blah blah and they don't have an edge like of course that's important and trus in yourself is important the confidence is important the vision is important uh knowing how to manage a stress is super important position sizing and and um risk management is super important but if you don't have etch if you don't have technical etch which means that if you don't have an advantage on the the the markets like nothing will work so I try to tell people that are starting that because because you always hear these things that hey I'm

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struggling because I have conflict of interest I have my psychology I cannot uh you know have a red day or whatever and when I ask them hey what's your Edge in the markets they start like mumbling oh well and this when whenever it crosses and blah blah blah and I get this and what you know it's not clear enough so I think it's really important for people to know their Edge know what they're good at and this is where Kino sets in right um You have to know what you're good at you have to know what setups you're really milking out of the markets and you're really knocking it out of the park because maybe

S07-P0075 original line 66, characters 36167:38013
and it's really important that you know that this is yours this is something that it's art in a way uh you have a personality different than mine you have a risk tolerance different than mine you have a you have a whole thing different whole core and experience is super important too so whatever you know how to do best and this is something that I got from um uh Dr Ste barer from uh an SMB conference that I had probably like four months ago already and he he said something like really really uh that I have a lot of insights about that which was everybody in trading is asking thems what did they do wrong and

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what they have to improve and what they what what mistake that they did blah blah blah but they're not asking themselves how can they maximize what they're doing well and I think that's something so important because if you don't know to how to maximize the setups that you you know best and the setups that you know that they work for you and they yeah you probably will lose one or two t one or two times but the importance of understanding that if you make one it will make up probably two or three losses that's incredible that's risk management right so I think it's really really important that people understand that it's not only yeah the

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stress and the you know managing stress and psychology because I see a lot of people talking about that nowadays and I think ET is probably the most important thing when you're beginning but there's not much stress when you're trading $1 and $2 is there so sometimes this just a question of size as well you can say I'm dead stressed out if you if the profit and loss is going up a dollar down a dollar up a dollar you know what you know what Stephen I think that stress comes from a from a place that you want validation from others in a way you know that you you want people to people that love you maybe

S07-P0078 original line 66, characters 41772:43540
maybe they don't want you to be scammed or whatever and nowadays trading is a is a really great area it's a really great industry especially for the people that you know sell courses and they don't know anything about trading so what you get is that sense of es skepticism uh from people and people that love you don't want you to be heard in a way right and they don't want you to be in that path so when you're doing it you're trying to in a way you're trying to tell those people hey I do know what I'm doing well so it's not even about the money it's about being right maybe and that's something that

S07-P0079 original line 66, characters 43617:45365
yeah and that's something that we have to we have to get from our heads but it's it's so difficult but it's like I suppose in the early days it's like watch as many different parts of trading as you can see all of the different patterns say what matches your personality and then once you find an edge because you've traded enough times and then maybe you do use kall and you do T setups and tag this is one setup this is one setup this is another setup and then see what what's profitable and what's not profitable and then I think the next thing for you is is exactly what you said like put that mindset do

S07-P0080 original line 66, characters 45444:47181
those meditations envisage the future and think I'm already profitable I'm already profitable I've got the edge just it's just another day of being a profitable Trader and if I take a loss that's okay because profitable Traders take losses it's almost a bit like that but but but edu one thing that surprises me about you right many things surprises about you but you but you but all all in good ways I actually wore a shirt today because I wanted to not because I have to wear a shirt but because I wanted to show a sign of respect that I wanted to people people people friend you say that I'm the host I'm the were a freaking

S07-P0081 original line 66, characters 47182:48774
Su you know no um no no one told me what I have to wear today but I put a shirt on specifically because I'm talking to you as a sign of respect BR the horse as well you you're the millionaire Trader you can you can show up however you want you can show up in your boxer shorts does doesn't matter but um dude like what two things loads of things get me but one of the things that gets me is I see a lot of good Traders right and what I find that all have in common is common is common is that often in the personality traits can be without emotion or they can be

S07-P0082 original line 66, characters 48775:50600
a little bit quiet a little bit introverted a little bit mechanic you proudly born and bred in the lands of in the lands of Latina no where I am right now you have emotion so you're like an anomaly did you have a struggle with having emotion and having strong feelings and trading I think I use it as a as a fuel I guess like if you see my sessions because I do life trading every day and if you see our sessions it's pretty cool you should come sometime because they're pretty cool like they're there we have music going on and and we have jokes going on all the time and we like I think in

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order for this to to become your daily thing because I I think a trading as my you know it's it's part of me now it's not even my job it's something that I get to play with every day so it's exciting to to wake up and do this so as it is such a lonely profession and as it is such a um in a way you have to be really consistent in order to make it so so I have fun with it and it's not that that that I don't take Serious training I just think that in order for you to enjoy it like you're with people you're we create this community we're with people

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we're um because we have you have to be really patient and sometimes there's no play but you have to be like in in in the play in the game so you can spot that opportunity so you have to wait and and if if the trade doesn't go to your levels you cannot do anything so that's why we you know we we we have fun and I think that part of my personality has helped me a lot just because uh at first I was struggling so much in trading and I think if if I were uh kind of introverted uh I think it would be really hard for me to deal with with everything that I

S07-P0085 original line 66, characters 53907:55661
had to deal with so I think there's no such thing as a perfect personality for making it a trading of course when I see Lucas for example the shore bear he's really like German style you know he's super disciplined he's super and of course if you see me I'm like freaking listen to like a don't trade you know like it's so different and of course he has made so many millions and I I haven't but I think in a way it's trading makes you what I love about trading is is that it gives you the opportunity to make it as your own so like you express yourself there and you you you kind of that's

S07-P0086 original line 66, characters 55662:57465
why maybe I have so many arrows in my in my charts you know and and and and I think it's really important for people to understand that what they have to do when they're learning this is what I did I have so many things in my training that Tim grani taught me that Tim Sykes taught me that Nate taught me that um Jay Trader taught me that um even s Luchi I'm learning a lot of crazy things about options right now regarding equities uh from Zan Luchi uh I'm I'm learning so many things from Lucas I understood a lot about pyramid in from Lucas I I understood so much about filings filings with Ricky you

S07-P0087 original line 66, characters 57466:59280
know and and so many things like I have my own Frankenstein and I I I I understood recycling with bow you know it's so many different Styles so many different things that I put together in order to trade the way I trade that I think people should learn a little bit from everyone you know and and understand what good from everyone can fit your personality and and that's what I did so I think your personality is key um I think the less and I must tell you this I think the less emotions you get the easier trading gets but if you are such a passionate guy maybe like me um you you can make it

S07-P0088 original line 66, characters 59281:61026
your own it's not that you're doomed you know maybe I have to be really like for example when I'm when I'm trading like really tra actual trading like really entering a position I cannot have distractions like I have to be really really focused but when I'm waiting for that moment I TR try to you know distress myself with with you know company in a way yeah all right I've got a couple of uh quick more slightly more quick fire questions for you uh the first one first one first one is Edie what's your why what's your why why did you get into train uh I just had my third kid right now and my purpose

S07-P0089 original line 66, characters 61027:62913
it's Legacy and if I can provide every single opportunity for my kids like I made it already so I think I it's a matter of providing it's a matter of of understanding that you're here for to to create uh something bigger than you because whenever you're you're only focusing on you uh when you're up that's great but there's sometimes that you get those you know downhills and especially in trading and you have to have that fire inside of you that will make you out of the bed will will make you get up up from bed will make you you know sometimes when I get really really harsh losses they're not about the money anymore but

S07-P0090 original line 66, characters 62914:64666
they're about my performance and I and I really question myself when when I get to those moments maybe once or twice a year and bro I hit hard bottom really really hard and when it what it really really helps me is that mindset of hey it's not about me anymore it's about other people that are that are uh making it for their own future and that's why I think it's it's really important and also of course you have this uh like I really enjoy the the independence I really enjoy you know if if I want to go to Italy and I just do it and and that spontane spontaneity I don't know how to say

S07-P0091 original line 66, characters 64667:66292
that in English spontaneity I don't know how to say spont SP you should teach me spontan yeah man like like for example I'm I'm uh going to this like I love soccer and I'm going to this matches of the cup America and one of Venezuela is playing in in La so I'm like freaking I have to go to La but I can do it like I I I'm able to do it so it's a matter of choice it's it's not a matter of if I can or I can't anymore it's a matter of if I want to or not so that thing over there like I I think those that combination of of those two

S07-P0092 original line 66, characters 66293:68035
that Legacy and that providing thing and the the the uh doing things because you want to and not because you can like that's for me is really really important really really important you're a huge advocate if can for you post your charts every month what's what's the what's the love and fascination with kall kall kall I I've met I've met Carl um I love the guy by the way like I I I get along with him a lot uh we met in Vegas maybe three or four years ago and like the project itself I love it because like in an Ideal World we should all get kmf like every everyone should get Kimo just because

S07-P0093 original line 66, characters 68036:69896
you know if someone is questioning you for example or questioning another Trader that Trader might feel really really bad because there are so many trolls in the internet so many people that complain so many people that are that like doing things that that don't help anyone and sometimes those people uh who get really hurt by by those if they see their track record they wouldn't be hurt that much you know what I'm saying because if someone that it's making in it trading is bashing you like he probably I don't know I I've never seen it I I've never seen one I remember once um there was this guy like maybe one or two years ago

S07-P0094 original line 66, characters 69979:71756
he was bashing Kimo no because people in Kimo they don't have the locates and then Carl got the locates okay no they in Kimo and this guy is he was bashing me this guy blah blah blah and I'm like why this guy like it's really weird why is this guy well two weeks later he released his his service yeah exactly and he wasn't verified so it's a matter of if everyone is verified in a way you could spot those things and you will see that people that are making it and trading are not bashing other people like they're just trying to help they if you see like the leaderboard who who you see there like

S07-P0095 original line 66, characters 71757:73451
stepen D you see Kyle you see Dom you see a lot of guys that really provide value for the community when whenever I see one of these um uh monthly Recaps of Tri of Kyle's traits bro that's incredible and there's so many people that that that provide um value to the community that I think whenever you're whenever you're whenever you're transparent um it's it's a a way to um get you um how can I say it like Authority in a way so people understand that what you're saying has has a point and I did it like also I love it because it it gives something to my community that we didn't have before that is

S07-P0096 original line 66, characters 73452:75207
the Roger banister effect which is uh do you know the story of Royal banister no okay there's this guy like before I think the 1950s uh people couldn't uh run one mile in less than four minutes and this guy beat it so picture this before 1950s you could like nobody could uh do the one mile in four minutes when this guy beat guy beat guy beat it there's something like 2,000 people that have done it already yeah I know so that yeah so that is so people it's not that people grew legs longer legs it's not that people are I don't know eating uh better to go faster it's just that people Now understand that

S07-P0097 original line 66, characters 75208:76835
it can be done so when it can be done it unlocks this resistance and it's easier to do it so if I can do it or if Jac K can do it like I get really really uh encouraged by oh so there's this guy that didn't have a lot of money that is not that he is a Quantic physician or something like that he's not an astronaut like he is really similar than me so if he did it like I could I could do it so that Roger banister effect I love that about kfo and and of course that's why I'm I'm such a promoter of it I I every single time I try to

S07-P0098 original line 66, characters 76836:78574
encourage people to to get into Kimo not many people want that um some don't want it because it's really it's really hard to be transparent these days you know and and and I know the reasons why maybe even safety you know even even the IRS can can spot you but but many we all know why they don't want to be transparent so I think uh bringing the transparency back to the industry will will will make it better and I think Kimo is such a such a um a good way to to for people that are even starting to get lead in a better way so that's why I'm such a fan of Kimo yeah but

S07-P0099 original line 66, characters 78575:80249
I mean there's so much Mystique over um which trading Guru can you trust like who can you actually trust to be saying the truth about what they're saying and if they're un kful it's undisputable but I mean so what would you say it to someone who's selling a cost and not on pfall it's difficult one I know the thing is thing is thing is um if someone has 20 years plus doing this like maybe they don't want to expose thems in a way because it connects all the all the trades and it's not about losing it's about winning too it's about ear earning money too you don't want that ex-wife to to see you how

S07-P0100 original line 66, characters 80250:81946
much you're making right and so maybe there there are a few exceptions and and I want to be really really careful about that because we cannot say hey every everyone that sell courses if if if not in Kimo like they're they're a failure it's not that way but what what I should say is um Kino will boost their their their their sales and it's a really smart way to to boost their sales just because Kimo is the only way and if somebody has another way let me know but Kimo is the only way that you can for sure verify a Trader and and that's why I would tell those people that are that are selling

S07-P0101 original line 66, characters 81947:83611
courses and don't have Kimo yet it's a way to boost your Sal like it's a way for you to be legit it's a way for people trust you is a way for people to uh look for you when you don't show you don't appear in their feed on on ads or whatever like Kimu is a genuine way to to lead people that are starting and wants to to to get a course just because of the of the transparency of it and for those who do it for because they don't know how to trade you're you should get out of the way way way like like if you're if you're teaching trading and you couldn't make

S07-P0102 original line 66, characters 83612:85378
it um by the way I do think you could but if you're saying that you're profitable and you're not you're a scam and I know a few I know a few and and what what I can say is hey say that you're not profitable that you might be a good teacher right you might be a really good teacher I can show you how to put trades and and and not be profitable I can show you patterns and not be profitable I can show you statistics and not be profitable I can show you risk management and not be profitable so I I really think you could teach a few things about trading without being profitable but

S07-P0103 original line 66, characters 85379:87095
what is wrong is to deceive people and saying that you are in order to get more subscribers or whatever so take that advice for the people that are teaching courses get into Kimo because it'll boost your CS that's it I've got a question for you that you might that you don't have to answer and you can just say a Skip and we'll go into the next one but I was just curious to know do you have a if it's possible to even have a favorite furu if that's even a thing do you have a furu that you like purely for entertainment even if you don't follow the furu a favorite furu um I do but

S07-P0104 original line 66, characters 87096:88602
I don't know I I don't want to say it maybe maybe in a couple of drinks I'll tell you I I I don't I can say my favorite fur of all time if it is if it even is a f i don't know I'd like to say him on I'd like to say on kful but I love Zack Zack is it Zack attack if he even is it for Zack trades is it well but but I you know what I'm I'm kind of a fan of the guy just because he brings volume like I love people that pump dogs and brings volume so I'm like yeah go for it you know bring some volum push

S07-P0105 original line 66, characters 88679:90452
those dos up and for me to have you know meat on the bone because remember this in small caps if you don't have those those extensions you will never have volatility and if you don't have volatility as a day trader you're doomed so all these bumpers that bring volume and bring um attention to the to these markets bring all the people that are going into crypto and and are going into you know futures or Forex or whatever bring here and you know it it will bring more even more volatility to the markets and that if you know how to trade volatility if you know how to deal with it you'll profit from it so bring

S07-P0106 original line 66, characters 90453:92193
them is vice notes are pretty entertaining as well I don't know if you ever listen to any of his vice notes his audio notes on Twitter or if you watch any of his videos they're pretty Haven I haven't seen a lot but but I I I kind of know his work and I I'm a fan of it so but to tell you the truth there there is there's some people that that also say that they're on kimone they're not like they they put they're oh I'm on Kim and I'm and I'm transparent blah blah blah or whatever and they're they they have their profile as private you know like that's deceiving like you cannot do

S07-P0107 original line 66, characters 92276:93957
that tell people hey yeah I I teach this thing and I I can't teach you but say as it is it is it is think that's really really really really important for people to understand that you're being taught by someone that and and maybe he has a or she has a lot of profits and a lot of things but maybe he or she doesn't want to show it so be you know be be honest with it don't say that you're Unk don't say that you're transparent you say or or say saying you're transparent you don't use Kimo no because Kimo it can be manipulated I'm like okay if it can be manipulated why don't you

S07-P0108 original line 66, characters 93958:95782
manipulate yourself and put yourself in the leader War right of course I would do that no but I mean I agree you could have an absolutely fantastic statian who is a brilliant stici brilliant Trader who was also an alcoholic and he goes six day sobber on every seventh day gets black out blind drawn doesn't know where he is and loses all of his money but he's actually a fantastic teacher and Trader he just has this problem on the seventh day he gets blind drunk and he could be a good teacher he just needs to say I am a really in alcoholic I am a raging alcoholic with a problem but I'm a fantastic teacher on

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those other six days do you know what I mean just honest honest 100% And and I think I think there are people that work with me that will that are great teachers and they're not as profitable yet so they could they could teach it's just being being aware that and make people aware when I started teaching I wasn't that profitable either but I disclos my my my thing I was like okay I make probably like $1,000 a month so this is what you get and I I got a lot of rejection for people that were like like I I want to make uh a 100,000 a year I don't want to make 10 grand a

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year you know what I'm saying but I I think it I think it's really important that people understand that and ke Kino will provide that for them them them so why not do it what's your thoughts on um trading Kitty in the GMA action these last few last few last few days uh what do you mean the was it was GMA right GMA has been a crazy ticker these last few days it was due to a TR I've had so much fun last week like so much fun I I probably um one of the best opportunities that I've ever seen uh well not ever seen but in this year uh it's ffi e and that

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was like uh two months ago or so or one months ago and gme that day whenever they got that dilution uh that that ATM uh I think it was 75 million shares and it was such a clear short like it was such a clear short when I got when they got all that dilution the the thing is they have this huge guy behind it uh roran Kitty and I'm just learning I'm just learning a lot from it um I think we will have a lot of things like this in in in in the following years so we have to learn a lot because this is what is the new way to promote stocks it's the

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new way to to make that pump and dumb scheme so and we have seen the evolution of it we we started with the males you know I remember Tim Gran's trading tickers you you see the how the promotion was done and if you see the the the movie um what was it the Wolf of Wall Street if you see how they done it uh before it was by phone you know then it was by mail then you have this crazy um uh Discord groups now you have this guy that moves so much volume the guy had 600,000 viewers in YouTube like that's insane that's incredible so I think each time it it it evolves and

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you have to be really really aware and you have to be really really you know learning from it so you can profit from a a similar situation in the years to come I think what I've picked up from you which I think is really important is uh you seem to have this insatiable appetite and this humbleness to learn from everyone at all times and pick the best people at a certain thing and just learn it from them and then you're using that to fit your personality into a full rounded rounded rounded Trader and you're becoming like this genius Trader because you're taking the best of best of best of everyone I think I'm way behind

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of of of what a really really outstanding Trader will be but I just make it my own and and I think if you guys are going to to start trading or you you're here um you cannot lose the appetite of learning because every single time you will have different opportunities and there um different ways to profit from the markets so if you're not learning you're missing out and if you're not profiting from because of course you have the same patterns over and over again of course but the way they they they create they create they create and the way you can profit from it like for example at first I was only a long biased

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Traer then I started shorting and I was all into shorting you know because it makes so much sense to short all those things but now that everybody everybody's into shorting and shorting got overcrowded like I got to this I got to the to the inside that just go long when it goes up and just go down when it goes down that's it you know it sounds so stupid but it's so like we are so contraint Contra inuitive that we always want to go short when it's ramping up and go long when it's ramping down you know it's it's so much easier to understand the face that is that that that that stock is into and

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just go with it and just dance dance with it not fight it just dance with it and in a way you will of course uh when you're a contrarian Trader of course you will get those incredible moves of course but I just like to have that 10% a day on on my little little little position I I don't aim for 100 thousands a day like I just with between $1,000 and $6,000 I'm more than fine with my trading and I'm just happy with it you know of course I'm I'm trying to uh every setup that I that I can milk and that I can take liquidity in order to be bigger like I'm learning how

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to do it of course we I've always been you know that appetite of being better of course I'm really competitive so that helps a lot but it's also being really comfortable of of what you're doing it's also of course you will see a guy that is making $100,000 like Lucas I was in Italy with him and he made a million bucks in my face you know with with his self on his hand you know and I was like okay I made Seven Grand which is a really good day for me but dude like I'm failure besides you you know you get that and it especially when you have social media that social media gives this

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Spotlight to this incredible people that you know make this perfect top Tech and perfect bottom Tech it's just so for me it's just so it's so much easier to you know in in a in a 25 or 30% move get that 7% and you're out and that's it you know and and it can be up or it can be down whatever obviously you have to get the big picture in order to to uh to maximize it but I think it's it's a matter of personality I what were saying how did you get that personality to have all of these arrows on your charts CU your charts are like no one's charts I've ever seen before

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it's just a uh it's a way for me to keep my my risk management on check uh as I I've never been this meticulous guy I've never been this you know if if this happens I will do this I have an area which I'll go like okay the unbalance and the supply will be in this area so I'm going to short out of it you know whenever it gets to this area and I don't care maybe that area has a range of 10% so I will whatever it goes up to that area I will short and if I get my risk management into trouble I just get out from a part of it so I

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can have that room to add more on the way up so and that's whenever I'm on the back side of course because as I was telling you if if you have a a downtrend it will be better to short if you have an uptrend better too long but if you have the big picture is in the downtrend and you have those pops for example today mlgo which was a an amazing setup like I love that setup so much because you have this crazy overhead resistance and you have this perfect downtrend whenever it pops a little bit you're going to short so like it's so intuitive that the whole um Supply will be on on on

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un balance that it will be really hard for the price to go up if if you don't have enough volume and having volume is not that easy you know people are like oh yeah pump the stock it's not that easy you know especially when you have so much overhead resistance on on on on days before so those kind of setups are like my favorite and I do that you know crazy um triangle at first just because I'm trying to get my my good average like really near that top and obviously I won't get the perfect top but I'll get like that area really nearby that top and with the size that I'm comfortable with if

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whatever it goes and and blows you know really high I I just lost whatever I'm comfortable to Lo to lose makes sense I mean what would you say to a new Trader who was trying to grow an account now do you have like a couple of bits of advice or a couple of plans to look into or I will focus on the long side I wouldn't focus on the short side because I think shorts are more of a cash flow kind of kind of thing for the business for the trading business but the growth is on the lungs like you see these crazy opportunities every now and then that you'll go you'll be and it's

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so easy like whenever I see them it's so easy to easy to easy to spot that um I think people that are starting and and are focusing on growing the account should focus only on Longs and especially because when you learn how to long really really good you will will learn when lungs are screwed and that will make you a really good good short seller so get that experience from the long side for the first year I guess and then as you become really really good long bias Trader you will see that there are a lot of opportunities on the short side that you could take advantage of nice are you used many indicators are

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you literally a candle man I use the vwap and sometimes I there's some charts that I have that use uh the some Emma which are J Traders uh Jay Lins which I love Jay we did this event in Madrid and I always tell him bro you're a genius in marketing because he always name his uh you know his um indicators in the chart so I like Jay lines J swing J and he's so he's so funny but I I use it because he taught me um a pattern that is called the lay fade and whenever those Ms and that VW is broken like you will know for sure that you're in the backside of of

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that day so um sometimes I use it but regularly I only use bwap that's it last question as we're coming at the end I just wanted to ask how has the market changed for you now compared to let's say two years ago three years three years three years ago do you see much years ago like nowadays is harder than 2021 because in 2021 if you learn in 2021 trading your screw um just because it was a market that it provided so much opportunity and you only had to hold whatever it whatever goes down it will go up again so you just buy and close your eyes and you'll you'll you'll be settled you know that's

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why I think a lot of people made money on the in the 2021 and lose it all back in back in back in 2022 um so I think you on this markets you have to be more disciplined you have to be really really on check with your risk management because you're if you're a short seller you're probably and you're a NOA novice or a beginner Trader you might probably lose your account um if if those crazy ones get you you know uh there there's always that one that will destroy your your strike so I I think you have to be more disciplined you have to be more aware of this crazy this crazy this crazy

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[Music] [Music] [Music] um turnovers like you you will see a lot of reverses in this markets um and I think it's better to be a long on the long side uh just because it protects yourself from from the short side and from those crazy things like I I had the the the worst loss of 2024 for me wasn't this Chinese freaking stock ctnt which went all the way from two to listen to this it went from 10 to two right backside like it was destroyed liquidation play then it bounced all the way back to 10 and then it went to 45 and then it went to two again so like that that was my worst

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loss and loss and loss and and with those kind of move you can blow out like even me I have I have a lot of experience on like I'm really really jealous about my my uh risk management and really meticulous about the risk management especially and I it was so it was so hard because you know that that thing is going down like you have I was so convinced and it did like it did just it just I missed what like a 600% move like that will destroy your account so I think U people that are starting right now uh will learn a lot of lessons um try to start small and and this is

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I cannot stress this enough because I see so many people trying to start with a large amount of capital and they're not skilled enough to withdraw money from the markets they're not they don't have the skill yet they will develop it uh with a lot of lessons and those lessons come from experience and if if that experience uh is pricey if that experience is expensive then you won't be able to live it as the way it should in order to be consistent and persistent on on on this profession so start small like you don't have to be a hero you don't have to turn a th000 bucks into a million in one month like that's

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that's not the way it is it's it's easier to understand that this is a profession that will last probably 20 years of your life or 30 or 40 and the first three years you will have to learn how to develop it and that's it you know lower your expectations or manage them and and be sure that if you follow the process you'll get to that results that you potentially want right I think that's a fantastic answer and a final question before we wrap up Ed why why do you think you win when the vast majority of people of people of people lose um because I have more experience people are people try to to people

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underestimate what they can do in five years but they overestimate what they can do in three months so I I only have more experience than than people that are starting so that's why I can make money and they don't and and they don't let them themselves learn just because of the expectations of making money they want quick money they want okay I I want to press a button and and and this thing spits on me 100 bucks or 200 bucks and that's not the way it is like it will spit the the money whenever you master it whenever you have the skill whenever you you understand that the market will do whatever they want and

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you'll just there to take advantage of that move but they will do whatever they want and and they're not there for you um I see so many people like maybe entitled in a way just because they studied a few courses they they they think they they are uh above the markets and it's not that way you know so I think um people have to get that experience people have to study a lot to catch up with me because I've been doing this for nine years so if you have two years or one year in I might have a little bit more Advantage than you just because of just because I've seen more but it's not

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because I'm smart it's not because I'm you know uh faster than you whatever I'm just a little bit more experienced and I think that's what people should look for makes all sense is there any do you want to give a mention to the to the trading room are you in a trading room are you are you running a yeah we have we have a room in you know that I teach in Spanish we have this room called stocks trading Club um I trade live with my Alpha group every day and and I try to coach them in the best way possible and yeah man I think it's really important for you guys to to join

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a community and that resonates with you I've been all over like I've been in every single Community there is just because I I I understand the importance of learning and um apply that knowledge to to to the to the markets in order to get that experience and you will start tweaking your own thing and O of course I want to mention Kimo that I'm a fan of it um thanks to Kimo I've you know I can reach out to people that are above me below me my peers peers peers whatever so I can improve my training in a way a way a way so really props to Kimo because the Carl knows what he's doing

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so I really appreciate you taking the time to be on the podcast I really appreciate you being the uh Premier guest as soon as I found out as soon as I saw you on the leaderboard I thought he's the man he's the man that want to get to kick things off so appreciate it I hope to God to be catching up with you in in a few years again I hope my trading situation green on the year but I hope I hope it's a bit more than a few hundred bucks and and I get there in the end as well but I just wanted to say thanks so much Edie you're an absolute uh uh

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uh tribute special person for the trading community and you're you're one of the people that always gives back so thank you so much thanks to everyone who's watched please leave comments Below in the description I any comments that you want and we're try and put them to Ed or put them in a in the next session well guys just wait one second I just do want to remind you all Center Point Edge offering is available to everyone we've got the link just down below in the description check it out and thanks for watching [Music]

S08 | Ep. 10 Of Transparent Traders: This Trader Hyper Scalped His Way to 1 MILLION | Complete normalized text

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Ep. 10 Of Transparent Traders: This Trader Hyper Scalped His Way to 1 MILLION

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📅 Uploaded: 2024-09-06

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⏱️ Duration: 0:47:17

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👁️ Views: 3,964 (Rank #1 of 1)

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💬 Comments: 28

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📼 Playlist Progress: 1:34:34 of 0:47:17 (200.0%)

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👉 About Trading With Tim: https://www.youtube.com/@tradingwithtim

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👉 Check Tim's trading performance on kinfo: https://kinfo.com/portfolio/35716/performance

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👉 Unlock $7,500+ Industry-Leading Trading Tools FREE : https://centerpointsecurities.com/kinfo/

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👉 Get 1month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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In Episode 10 of the Transparent Traders podcast, host Stephen Johnson sits down with Tim, who has skyrocketed to success, achieving over $1 million in profits. Tim shares his journey from being a high school student trading on a simulator to building a profitable trading strategy that focuses on hyper scalping. He opens up about the challenges, lessons learned, and how he fine-tuned his approach to hit this massive millionaire milestone.

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Tune in to hear how Tim transitioned from part-time side hustles to becoming a top-tier trader on the Kinfo leaderboard with strategies that work in today’s fast-paced trading environment.

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CHAPTERS:

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00:00 – Introduction to Trading with Tim

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03:10 – Early Trading Journey: From Simulator to Real Trading

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07:20 – The Road to $1 Million: Tim’s Breakthrough

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10:45 – Pre-Market vs. Market Open Trading: Key Differences

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13:30 – Risk Management Tips for Consistent Profits

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17:15 – How Tim Refined His Hyper Scalping Strategy

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21:00 – Learning from Other Traders: The Importance of Community

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24:45 – Tim’s Favorite Trading Setups Explained

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29:30 – Mistakes to Avoid: Biggest Red Days in Trading

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32:50 – Final Thoughts: Lessons Learned on the Road to Success

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🌟 What You'll Learn:

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- Patience is Crucial: Rushing into trades or overtrading often leads to unnecessary losses - patience helps preserve capital.

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- Risk Management First: Always have a strict stop-loss in place to avoid devastating losses and protect your account.

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- Focus on Process, Not Profits: the profits will follow if you focus on refining your strategy and execution.

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- Record and Review: Reviewing your trades (like an athlete reviewing game footage) can help you spot patterns and areas for improvement.

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- Stick to What Works: Tim advises traders to stick to setups they know and avoid chasing new strategies that don’t fit their style.

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🔑 Key Takeaways:

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- Consistency over time: success doesn't come overnight - it’s the result of years of discipline and constant improvement.

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- Risk management is key: Controlling risk and avoiding large drawdowns is crucial for long-term success.

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- Meeting and learning from other traders helps accelerate your growth and refine your strategy.

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🔗 Follow kinfo: https://x.com/Kinfo

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🔗 Follow Tim: https://twitter.com/@tradingwithtim_

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🔗 Follow CenterPoint: https://x.com/CenterPointSec

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Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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today we well trade with Tim micro scalper people call me hypers scalper whatever as you can see on Kimo I have a lot of Trades who sits in 17th Place on kin 4's alltime leaderboard with 923,50 dollars really $ Dollar welcome back everybody today we welcome trade with Tim who sits in 17th Place on K's alltime leaderboard with 923 th000 in verified profits as actually speaking on early he's past the million doll Mark but he just needs to upload a second broker so that million is not in sight that million is achieved so well done Tim um we're going to jump into your trading strategies industry transparency and a few tips for new Traders I

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just want to quickly say first you can get Kino pro pro Plus absolutely free for your first month you just need to log in to your free account click upgrade and access uh the advanced reports and the analytics F trades but Tim as along at reduction how are you good man happy to be here thanks for having me on and uh it's been a crazy year to say the least man it's been a crazy year for you I'm uh I'm looking at your stats I thought you some sort of Prodigy because you've you just got the one year on there but that that I was like this this dude's just started trading and he's a

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millionaire already whenever see tell us a little bit about your story you've been trading a little bit earlier but you're hitting a million this year all very early or a million in the last 12 months it's kind of like where I finally hit my stride in trading you know I feel like a lot of people say this but for me I'm uh 24 right now and I started actually learning trading when I was 16 so I didn't you know kind of was just like on my laptop saw some Timothy s stuff kind of like got into that and you know really slowly over time when I was in high school and stuff kind of kept

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trading and even like my senior year high school I got late arrival when most kids would have like uh early release I got late arrival just so I could watch the markets and I wasn't you know making anything I was trading Sim um and that really helped me just kind of progress over time um and then I have you know pressure washing business as well as an apoxy business that kind of I was able to do through college to fund my trading as well as uh just kind of do everything I could I I did sold Amazon FBA books and you know all that type of entrepreneur stuff um to do affiliate marketing um and

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finally after all that you know the last year is really where I hit my stride I used to trade pre-market on trading station that's what we were talking about so that's kind of what would put me over a Millie if I can get those stats on K I tried but I get it I think mys I think they closed my accounts I just had to talk to them but anyways um yeah so I think I made between those two and a half years trading pre-market like 65 70 grand which at the time still awesome money for me plus my side businesses was able to really do well um but I was not able to trade

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throughout the market open right so for me as a discretionary scalper you know micros scalper people call me hypers scalper whatever as you can see on Kimo I have a lot of Trades yeah a lot and uh basically what I do is just uh play off of that price action and it's a lot easier during the market open when there's a lot more liquidity to have a lot more trades and that's kind of what I figured out whatever I met uh Relentless Trader Mighty stock some of you guys probably know them crispy trades MX day trading a lot of these guys that you know I had seen in Discord I was trading Discord for a

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while and go to meet them kind of see for myself and also I have a week where I could trade through the market open and that's just when everything changed so from then on I don't even trade pre-market at all and I just trade throughout the market open really the first two hours are my best um and yeah we just we hit the gas and I've never looked back so man you just put the the pedal to the metal you just uh you just put your foot down hard on that uh on that accelerator pedal but like and and it's obviously doing well you've got a very uh a very nice creative background light there

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so that's you're like living the dream dudes like 24 years old stuck it to the man don't need to have a you'll never have a boss in your life ever probably that was that was a goal a long time ago so so so I guess the main question is everyone else wants to stick at other man and not have a boss so like what changed where you were trading premarket to like You' just hit like a million dollar in 12 months $920,000 in 12 months is like what did you do differently like pass those lessons on as much as you can sure yeah so a lot of it came down to really well only use

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limit orders and you can really get stuck sometimes where the bids will just drop on you crazy on premarket and you can just get killed especially on some of them that have those big spreads so it just always had me kind of scared and I never felt like my risk was very tight and I you were talking about like how was I able to do this without having big draw downs and a lot of that comes down to on most of my trading and pretty much every trade I have now it's a little bit getting a little more risky on very tight and with Market orders and a broker where you know you can trade

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as many times as you want I mean TD Mar trade is where I really started and now Schwab bought them out but it's the same thing it's just me basically trying to push as much size as I can with how the liquidity is make sure that I'm not getting a bunch of slippage but I'm a dip Trader so and I figured that out as well it's kind of like as I was able to take so many trades as you can see it's almost like I tell it's like reps in the gym right I'm I'm a big gym guy shout out the strong Trader a couple of these other guys I've met um and lifting and

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trading there's a lot that goes hand inand so like as you do something more you get better and you kind of see these little things you can improve on and that's kind of what really helped me a lot I was able to trade in a week I think I was doing like 2,000 orders every week which was the limit at TDM trade at that time um and by doing that learning on every trade being able to refine that edge and being able to really see where am I making that money and for me it's a lot of those dip trades not many breakout trades are buying at the top of the range I like getting

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in either on that like first pullback or on those micro pullbacks kind of in that that parabolic squeeze so which Mark's been a little slower but this February is kind of where I was able to really refine that edge a lot more and we saw Holo and BMR and a couple of these like ridiculous parabolic movers so like if if you had like a strategy in mind is I'm guessing like you're talking about kind of short squeezes are are you literally looking for shorts to be basically kind of [ __ ] when it squeezes out of control and then are you buying the dips and following the momentum up is it is it like that or do

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you have a different strategy or yeah it's I mean there's a lot of Def lot of strategies within it I mean I'm talking about like buying double bottoms triple bottoms buying like flat top breakouts you know five minute setups like all those type of like setups as well as a lot of that discretionary side which is just me seeing price action me seeing that okay this level may be soaking which basically like I can see that there's a lot of support there I can see that every time it comes out of this level there are buyers that keep stepping up I'll take along and then see if we can get that pop kind of as

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you can see because a lot of times there's hidden buyers or hidden sellers sometimes they'll pop up but a lot of times it's just like I know some people use book map to kind of see where those are over time since I just have so much screen time and a lot of my buddies we just were able to kind of see where you know that that support zone is or where there's a lot of overhead Supply as well where something's kind of keeps trying to break out to this level it can't break it I'll ease off wait for that flush and those are my best trades I love those big bottoming Wicks I try to

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get in as low as I can and my whole times you know that's one thing I'm working on but I usually just take 10 20 cents you know sometimes depending on like the price in the stock it could be more than that but I'm just taking the meat of the move taking a a very small portion sometimes but you're never going to go bro taking profit I always say that so n 100% but like what if fact let we'll we'll quickly jump to an ad break and then I'm going to give you this like big reveal so ju just one second we we'll jump to an ad if you're an active Trader then Center Point

S08-P0060 original line 54, characters 26345:28579
is the broker designed for serious Traders like you Centerpoint offers Advanced trading tools flexible routing options and an extensive short inventory to give you the edge you need with Next Level customer service when you join Centerpoint you gain access to Centerpoint Edge an exclusive program tail add exclusively for Centerpoint clients with Centerpoint Edge you get free access to over $7,500 worth of industry-leading trading tools that you won't find at another program this includes amazing resources like kful benzinga pro trade ideas dilution tracker and more click the link in the description to elevate your trading experience with center point where active Traders get more okay we are back and what I was thinking about is the

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doing this podcast interviewing like the top 10 Traders is the most unbelievable thing that I saw it's like so commission fre trading had this this boom right commission three there's a boom in the last five or six years this boom has brought a lot a big amount of hypers scalpers like you right but what what I have discovered doing this podcast in if anyone's watched the last 10 episodes before you of all of the people in the top top top 20 you guys are all hyper scalers the hyper scalers are dominating Kino which means there's a bigger Trend outside of Kino as well where H scalers dominating the market it is once scalin was laughed

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at and made fun of and it it was a joke but like the proof is coming like you guys are an army of people taking over and and I don't know where it's come from but I mean do you have any thoughts on that otherwise I've got another question for you yeah yeah no I mean I can go back to kind of I kind of skipped over this I didn't I want to be kind of brief but back when I um started trading I traded with F1 trade sure Trader um even CM I've been I've been through through pretty much everything and at those Brokers had commissions that were on every trade you know in

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and out it would be like $7 in $7 out I mean to make money trading a thousand shares you had to make two cents just to pay the commission and then trying to make money on top of that like I remember looking at all my stats and being like if I took out these commissions like I was actually making money so whenever 2020 hit and free commissions came in thankfully by that point I had enough money to get over PDT once I got over PDT I was like wow okay you know there's without the commissions I mean you know you you can make a couple cents here there and then I mean they did up

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the SEC and Fender fees now but it's still doable so definitely a lot of people when I tell them like what I do they think of course like I'm holding companies or whatever it is and I'm like I'm I just buy and sell these these quick price movements and you know I know it just it's hard to Fathom but yeah I would say definitely it's taken taking over hugely and it's just because you can keep that wrist so tight it's it's tough and not even just the wrist so tight you have so many reps so it's easier to get kind of better at what your style is and where you feel more comfortable some people

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love buying high and chasing those like those moves for me I just I can't do it I'm I'm more of a I'm G try to buy that soak Zone and wait for it to go yeah it's like Warrior trading right I see a lot of warrior trading stuff is like ah buy the next candle to make a new high and stuff like that but it it just seems a little bit scary for me especially when the stocks that you're buying are absolutely crap but but like in terms of the risk management like what what the hell are you doing are you like meditating for an hour every day beforehand to like not like what are

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you doing to like not not mess up sure so really what it comes down to um it discipline in trading is huge I mean that's kind of why I like behind me it's like half of trading is like the patterns and the charts and the other half's the mental and hly be more than that I think it might be 70% mental now that I'm getting more into it in terms of like once you really start making money and you've got a lot of money on the line that's where you can just you know you don't follow your chart patterns as as well and you know that type of stuff um but to get back on

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what you were saying um I don't know why it's I can't remember it say one more time for me real quick no no it's SC I I didn't even click that that was 50% that's May being an idiot I didn't even click that that's 50% metal 50% chart it makes false sense but I was thinking like what what are you doing like the mental aspect to control your trading or like what what's the technique do you have it like I'm holding for three seconds and I'm out oh with my dip trading that's why I love like buying the dips because when I'm buying so extended it's hard to have that proper risk it can drop

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so quickly but I like to buy especially like big flushes dips off of support zones to where when I'm getting in I know that my risk is most of the time within 5 cents maybe 10 cents depending on you know if it's a higher price stock okay it might be 20 30 cents but it's always going to be relative to how much I think it's going to pop off of that level you know at least like three to one profit to loss so and and I could see on the tape as like a price action Trader on the level two I can see okay time and sales a lot of people are selling here I

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can see the bids thinning type of stuff like that where I can get out sometimes flat for not a loss and then it'll drop and I'll get back in and then it's kind of like I'm able to people call it recycling shares that's kind of that's that's very much kind of what I do as well yeah I think it could t for people to learn that is just to uh record your screen and then go back and and watch the records of your screen of thinking okay there was just a big drop there look at let's look at the level two for the one minute before the big drop and let's see what happened and

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then if it happens again you know the same thing's going to happen so it's just a good tip right yeah and I tell people it's like you got to treat it like I mean we're professional athletes like esport athletes and what do like the pros do they watch film they watch film all the time so if you're not watching film you know how are you really going to get better especially when a lot of us are trading especially me like I'm it's so quick that I'm going to forget a lot of those trades and a lot of what happened it's not like I'm just taking five trades that okay I can remember all of that

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but I have to go back to rewatch and that's 100% how you get better man and this scalping thing that you're doing and what the other people like out of the top 20 of K4 like more than 10 of them are hypers scalers so I don't want I don't want you to give your Edge away but for someone that wants to get into hypers scalp and trading you have like one pattern that you can share or what one pattern that you like where on you can describe like the big picture setup and then the the micro entry yeah yeah I I tell this one all the time and I think it's like one of my

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favorite setups and on these setups there's so much volume and that's why I love trading is that like you know for the most part yes it's getting like crowded certain areas but when it comes to scalping it's so discretionary that it's like you know I don't know there's never going to be like some of these system Traders there's so many people that are taking the exact same trade but when it's discretionary it's a little bit different so but I would say my favorite setup it's buying Under whole dollars and half dollars really whole dollars are like going to be the best bet so let's say you have a setup it came broke over the whole

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dollar maybe up to like let's say $730 and it's like kind of turning holding High though and like testing maybe 710s comes down near seven I like to wait for the dip under some people will buy like right off a seven and sometimes that can completely be fine sometimes it will not break below but the best setups for me are when it does break below you get like a 690 wash maybe 685 sometimes it'll even go further try to take a dip you know usually I'm very quick so I can get depending on the spread I can get near the lows and then you just gotta wait for the break back over seven if that

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doesn't happen pretty quickly I'm just going to cut it see if it's going to go lower and if it does then maybe I I kind of wait for that next whole or that next half dollar level um but most of the time I'm going to scalp around that range to try to see if if the overall trend is actually breaking or not so that's a lot of what scalping especially as a I'm 100% long Trader so I definitely need to make sure that I'm seeing either really good dips being bought up on the backside or just I'm going to trade strictly like front side dips because that's going to be like odds of me winning

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are much much higher and while you look for 3 to one four to one two to one 3 to one four to one on your money it really just depends I mean there are trades where I will just take a couple like maybe I'll always look for probably three to one yeah but it just depends on what I'm seeing on the tape and and that more often than not nowadays I'm trying to kind of stop and trade more bigger picture with bigger size just because I'm seeing now that you know a lot of my money in the day is coming from like three or four trades so if I can really hone in on those

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a little bit more and kind of not have so much noise then I think it'll make it to where I can make a lot more and it be a little less stressful yeah no makes sense and I I I the type of are you the type of guy that likes to support his own trades and and smack smack the offer smack the market order and smack the offer and support us when you get in in are you hitting limits oh always markets for me you're supporting your you're supporting your offer and helping take the bit out help helping to take the ask out yeah I don't I used to trade only limit orders but even

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in the market open I would trade only limit orders but for me the speed and in terms of like where I know I'm going to get filled roughly I I can have that risk management in my head almost immediately but on limit orders and stuff and I can miss a trade that could be huge because of a limit order that happens I don't want to even risk that so that's just uh yeah 100% Market orders for me now makes sense so so you've got a stock it's broke above seven it's holding the seven Lane it's dipping under you're then watching the level two you're looking for that switching the balance of power you're hitting the

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market and that's your trade looking for the two to one 3 to1 whatever you can get doesn't work straight away straight away straight away out yeah I mean I'm I'm giving it on those trades since I know that's kind of like my one of my bread and butter trades I would give it a little bit more time because there's times where it'll kind of hold a little bit under that and then if you can give it a little more time you'll get that pop straight to 710 a lot of times though I will just sell on that retest to seven see where it's going to come back down if it comes back down and gives

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me another entry then I'm going to get back in and look for it to break but if I see like a big bidder then I'll hold it a little longer or maybe I don't know like a huge amount of of buying to where it's like really coming up quickly then I'll try to hold it like it immediately snaps right back through 7 710 then I'll give it a second maybe seven for it to hold and then you see that that squeeze up to 720 730 which is really like a big bear TR yeah no makes so like last question on this and then we'll go on to the the next section on transparency but yeah

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like how how did you I mean first of all just with the pattern it's just the chart you know looking at the news are you looking at the fundamentals are you looking at this big bigger picture anything like that little you taking into account or um I definitely got to attest to Ross Cameron Warrior trading that's kind of where I figured out where the momentum is and it's in those you know stocks with the low float High relative volume some sort of breaking news I don't exactly look at what the news is as much because I'm not holding it for longer in the day um and then some people look at a lot more of

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the dilution just so you kind of have that as a reference I don't look at that as much as I probably should um but I kind of strictly trade the chart and the level two so I would say 70% level two I'm looking over the chart to see what's set up you know is this a very extended dip or is this up really High you know kind of where's my risk and then I'm going to adjust my size depending on that right so on a setup like I was saying that break below seven I'm going to try to take more size on that um than I would a trade that's like a half dollar break

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below because it just for me they don't seem to work out as much and over time kind of in my mental I've got kind of the almost like the odds of every setup roughly speaking um but yeah it always comes down to below $20 usually I don't like trading the pennies as much um but my bread and butter is probably $3 to $10 and I'm trading as much size as I can nowadays without really like with a market order right you can get slipped up pretty high SI so you can kind of over time you see how much you can get in how much you can't um and I'm trying to now on those better

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setups just take you know two clicks um of my full size entry to where I'm like okay I'm in now like the size that I should be for that a quality setup and you mentioned you took a pretty it's not all glory right yeah you've made like a million bucks in a year you're 24 you've got no boss you're literally living the dream right but it's not always great every day like so what's the crack you had a red day what was the what happened there what went wrong yes so I was actually at the beach uh last week first day I'm there and in two hours I'm I lost 6,000 so my biggest red

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day ever before that was 6200 or something so it's my second biggest red day ever and what what it comes down to is when actively scalping stalks there's certain times where I can immediately feel that that it's like you know it's like I always say it's like basically like when you're putting your fingers on like a chalkboard that feeling that you get it's like it should not be that hard it should not feel like that to try to make money out of this stock when normally it's it's it's relatively easy for me to at least get some profit out of out of the stock by scalping it so once I feel that and see that

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then I need to just ease off but there are days like everybody we get emotional were like I need to make this amount of money today or I think there were two trades that I took that I messed up on execution wise and that's a trigger for me um they were really good trades I missed them and then what I end up doing is then I chase it higher and I get crushed and that was a day where I got I think I lost a dollar a share on one trade and lost like two grand in one trade which for me is a big outlier loss where most of my losses are couple hundred bucks

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you know or I try to keep my rist pretty tight but on that day we're trading in stocks that are bigger spreads and if you're not getting in at the the perfect kind of spot on the dip I you know you can really lose a Lot quickly and then it's going to be a spiral right so what I try to do to nip that in the bud is you know for me my Max loss is usually around that 6K Mark um but but it kind of depends now with how much size I'm pushing it's more of a mental Max loss and that was for sure pass my mental Max loss that day so it's better

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for me to come back the next day fresh I'll go get a workout go to the gym and look at my overall kind of p&l and stuff to make me feel better right like you're appreciate all the all the love man but there are days like every Trader you know no matter how much you made if you lose for like a week straight which kind of the the first of August I think I have four red days in one week which I haven't had that in in like a year and I fell down I really did I mean I down made 5K overall but I I was feeling awful I didn't even really want to

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like go out and do much stuff but that's another one of those things that you got to work on right is like distancing yourself a little bit more from you know because we're all to be the best Trad you gotta be hard on yourself right I'm sure you are just like a lot of us right we want to be like perfectionists um but it's good to kind of put the two aside and not let it ruin your day because it's not worth ruining your day when you know you know you're still in the game you live to trade another day why are you letting it affect like your outside life so yeah know it's h

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I completely understand what you're saying though I mean but it's trading's tough and like even the best Traders go through struggles and yeah like you made crazy amounts of money You' had one of the best years I've seen if people onkin for like a million and 12 months is crazy just about and then but like but then you'll still feel like total [ __ ] and like I'll remember when I was trading more in 2020 and I was like up 15 grand and I was having me first 15K a month ever and then I lost like two and a half Grand on a trade and I remember like getting in me car cuz I needed to leave

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the house and just punching the stearing wheel and then like I bought an Apple watch and I was just thinking I'm buying an Apple Watch and and and like I I just felt like disgusted just felt disgusted like this Apple watch is $1,000 then I just lost $2 and a half thousand like I the the almost the same value and I just felt sick physically sick but the other thing that I'd say is what I noticed cuz like I I got up over $100,000 in my trade and took a massive 35,000 loss me patent stopped working and then like I just dwindled for the last like year or so not not not having the same

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dedication not having the same motivation now I'm like lost about half of what I made i' probably got about 50k 45k 50k up but the point is I've interviewed some people on here who who got up 100 200 lost everything and then went to zero or under and and then made a million so the point is that like you've just got to stay in the game like got to just keep going do you know what I mean and I need to keep going I need to keep to keep to keep pushing especially if it clicks yeah it I mean what it what it really comes down to I think is like a lot of people

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try to switch up so quickly as immediately when something stops working but it it's so like personal dependent right so depending on your strategy and like the type of Market that you're in certain setups won't work and that's kind of why like being systematic compared to being like discretionary trading wise I like being discretionary just because pretty much in any Market environment with the amount of Trades and kind of like setups that I do see I can see like what working what's not working and kind of start like pushing more into what is working rather than what's not um while also keeping that rist very tight so like my biggest loss I made a million

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my biggest draw down ever is like 7,500 or I think I think I think 8,000 which for me at the time felt horrible but when I look at a big picture I'm like wow that is that is really really good I just need to let myself open up to having those bigger losses but also having the bigger winners because I'm I've C myself on my winners and my losers which you know at the point that I'm at it's like hard to complain making a couple thousand bucks a day I never will um but you got to progress like in whatever you're doing so it's just and that's what's nice about trading is that as you

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progress mentally and like you know just whatever systematically with your setups you can make more money that's kind of like the the beauty of it you know sometimes you can work harder and you don't get anything for it but in trading which yeah in trading you can work really hard and get nothing for years and years but the harder you work it's kind of like it all builds up there's that you know picture where it's like the dude about to strike diamonds or gold and he's this close right and if you stop before you get there you never know it's going to be on the other side so but it's the toughest thing it is

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it is and I'm I'm grateful and blessed every day to be able to do what I do now and and I think the main thing I'll say this again is it's beautiful that you're doing this and seeing how the people trade in their mindsets once I found other Traders and got involved in like a chat room with a lot of like-minded individuals it was over from there I mean not only am I seeing like what the potential is because they're posting how much they're making and I'm out there at work in the hot sun like man one day I'd love to make that um and now being able to do that it's just and and

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then posting my stuff and other people having that type of fire it's lighting them you know a fire under the them to to work harder and know that that that is possible mainly and maybe as well so it's awesome no it's true but at the same time like 95% lose right so like what what separates you from the guys that that that lose well I'd say one thing and you know I may get some hate for this or not really I i' cut out all video games like I don't play anything and I told myself until I became like a profitable Trader I just I can't spend time like that like especially with me being

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in school and having my other businesses like I didn't have that much time like free time to begin with now covid I had a lot more free time um and I spent that study and trading but yeah it's just being relentless like I would when I was out doing stuff and it was almost to a bad like an unhealthy point where I would be out with my girlfriend or out doing stuff with friends and in the back of my mind I'm thinking should I be studying right now like should I over charts and stuff and it it was bad for sure to like always think like that but it would force me to do that

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and not hang out with those people and not go out and do that and just do you know what I need to do study my my trades again or look on YouTube for somebody else that may be posting their live trades or something to where I can maybe find that light bul moment and finally found that kind of through a whole lot of uh trial and error over it's my seventh year seventh year seventh year trading I kind of say like four years of actively trading but trying to learn that's a year seven for me and you know for some people it may take longer than that to make kind of good money it just

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that's why it's so tough um this trading game it really is so trying to figure it out and then trying to keep that edge that's something that I even after one week right like I'll be like man I don't are my setups still working do I know how to make money so so St yeah but um we'll go to a fun segment I've tried this with anyone before but I'm going to try it with you it's a furus versus fats got a few questions to separate the furus from the real people the the people who tell the truth so for you to help new Traders how would you say that you separate the real deal

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Traders like you from the these snake oil sales people who are in the market and when when know who a coup of them all yeah yeah well I think a lot of it comes down to and this is what I would do is you got to get kind of a a whole view of that person don't just watch one thing like go into and see like what all they posted have they ever posted like actual profit do they are they verified anywhere does it look like kind of more of a flashy type of thing where they've just got cars and all this and oh you only need to make one trade a week or something

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where it's like oh I trade I turned you know a lot of this Forex stuff is like oh I turned $100 into whatever but it's just like you can tell pretty easily in my opinion but I've looked at it so often it's like okay is this realistic can I really is it can I make one trade a week and actually be able to learn a strategy so like having only an opportunity like that or there's kids that will never post an actual there's on their phone they'll just show you a p&l but how do you know if that's verified right do you ever see them taking the trade a lot of these guys don't even

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post their trades it's just like um hindsight Traders you see that on Twitter a lot yeah that post the chart and like this is where the best setup was and it's like okay but where are your entries and exits for that so and they're not there which I know there's guys that are real that do that but there's some guys don't so I'd say that's kind of what I like to do um but you you've always got it in the back of your mind be like okay you know kind of be like is this real and there are guys where you can you can really see that that's just not the case and if you

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spend a lot of time learning from them it's only going to take you longer to unlearn that stuff before you can learn what you should be n 100% And like that's why k for was good because like yeah it it separates the good Traders and the verified ones because honestly race if you went onkin for and you told me you'd made a million dollars this year and you're 24 year old sitting in your roomes and and you're saying I'm doing a few bits of mentoring here and there I would say seems like a really nice guy very genuine very honest but I don't know 100% if he's made a million dollars like I don't know

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but like it's undisputable because it's verified and it's like a lot of kids just like you are getting credibility that I don't think you would get and that's important No One Believes it yeah well then this the thing right is like for me if I'm posting and you know people that are real verified Traders unless they have like a marketing team it's not going to look super clean and be like super grabby the reason why they get all these people and like people think that that way is because they're so good at the marketing like they don't know how to trade but they know how to Market those guys are really good at freaking marketing

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and making you believe that lifestyle that they're renting everything anyways for it's like yeah it's tough because the real guys like me like we're not putting a lot of time into that we're putting it into trading so it's like you're not going to get those viral videos for the most part because people like to see that like even though they're in the back of their mind they're like yeah proba a scam but look at it right like right he's got Lords of followers it must be legit because look how many followers he's gone and everyone's commenting great things but it's like these people have managed to build a positive force and a positive energy and

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everyone's replicating it and you don't find out till you don't find out that a lot of it's not true until it's too late one cuz you need to you need to put five years in right so that's five years of someone supporting you and then by the sixth they're like all right I'm deleting deleting me trade an account on Twitter and that's the end yeah and for them they're like oh trading's all snake oil salesman and you can never be a winning Trader and it's like that's what's so tough right it's like going to the wrong college or something or getting the wrong degree getting the wrong degree for what you really kind of should

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be doing you know but but that's also what's tough is you'll have guys that'll trade from stocks to options or to Forex or to whatever and for me I was I'm so grateful that I didn't that I just start to for seven years just stocks just stocks and just low float stocks just momentum stocks like once I found that and I was like wow okay a stock went from a dollar to 10 that's crazy I gotta learn like there's some money to be made there and I didn't make money for a long time and I didn't even want to tell people about it because I just lost money but if I would have switched to

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Forex at that point and had to rearn and all that stuff it It's just tough right but to each person like maybe that is the switch they need to do so for me I can't really tell you what to do right it's just you kind of no you got to have faith in in whatever you're doing so would you say that there's a um a main furu flag like a main thing that you like furu you know what I mean what's the main main top one for you like that [ __ ] a furu uh I mean usually it's on the phone flipping around x amount of profit with like there's no like like sense it's just

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like oh I made 25k and it's just like he's never shown anything other than how much he's made and in that video there's some sports car or some sort of like see the lambo right everyone's like Lambo whatever like yeah 99% of the guys with those Lambos and and whatever they're renting him for that video and maybe they did make that money one day sure but it's like you know it just it's tough because people don't want to do stocks because you have to have so much money like the barrier entry so tough so they end up believing these 4X guys because they just they're like well I'm never going to be able to save

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up for 25 Grand and it just it's tough right it really is so they're selling him a a dream that's just like that's I think that's like winning the lottery being a$ to a million or whatever in Forex but I don't know but the lambo's not cool anymore like a Lambo 10 years ago was like good marketing now I think a Lambo now is a kind of a slight bit of a furu flag like people are like another Lambo person do you know what I mean it's not it's changed right the lambo's not cool anymore yeah like the affiliate marketing guys and all those guys they all have them yeah so but the lambo has

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been it's been saturated right it's been overdone and it's not cool anymore like the lambo isn't cool anymore it's weird go get a McLaren or something I guess yeah but um I mean for you you what what motivated you personally to be on uh on Kino and and like how how much transparency is too much transparency have you thought about is that's a good question I mean the only reason I'm on Kimo personally is because for me and I you know I'm never going to sell something because I do have you know I'm part of my shirt it's mercus marcet University you know I didn't create the course but I'm a mentor and I also

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have like my archives so I have basically live commentary as well as like my trading that I do sell for for people that want that or if they buy the whole course you know you can get some of those archives in that I don't want to do that unless I'm transparent with people right it's like it makes me feel bad and once I saw Kimo whenever I was at Traders for cause last year they gave us a free subscription and I was like yeah let me let me use this and the more that I did I was like yeah this is this is exactly what has been needed in terms of like I can show

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you that this is verified profit and yeah you can say oh but maybe you have another broker that you lost 900 Grand on and it's like okay that's pretty difficult to do the way like I'm going to take all losses in this one I'm going to take all in this one it's it's impossible okay you know at that point like just you can watch my trading and it's another thing that like I'm transparent on Kimo with that and I make compared to n like I made a very very small fraction not even 10% prob not even 5% of my profits overall in my life from like selling that subscription so more of it is as

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a teacher it's kind of like reviewing film I'm doing it by myself but if other people are asking me questions about that film and about what I'm doing it's like me just doing it again and kind of having to describe what I'm doing which in turn makes me better at it so it's kind of like a win-win for me yeah um but in terms of being too being too being too transparent yeah I don't know I mean as a discretionary Trader I think that's where I kind of always go back to like yeah I post all my trades and you could try to reverse engineer and whatnot but as a discretionary Trader I'm always kind

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of changing kind of what I'm doing compared to or like for what the market is as well as like overarching I'm trying to trade less and trade just those bigger picture setups where there's enough volume and liquidity to go around for a lot of people it's not like we're in competition and that's another beauty of of trading I don't mind sharing my my stuff because I don't feel like it's going to be like taken from me I have enough faith in myself and like my worth ethic to where like yeah maybe tomorrow it stops working but I be able to figure out some other way to make it happen right so very nice and I'm

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just going to close out I think we're coming to the uh the final part yeah give some fantastic answers though um I just want to close out with a few few questions for beginners so the first one is what are the first steps every new Trader should take to master risk management that's a good one yeah I would say um mastering risk management starts with that small size too cuz you you can't master risk when you're doing too much size and then that emotional side of things comes into play and you're like you know you can't even really trade the setup the right way so for sure make sure your sizing is proper because if

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you're oversizing you're not going to be able to really properly manage your risk um and for me I'mma cut losses quickly I'm never really adding on a loser ever so that's a risk management technique that I use I'm just never adding to a loser I'd rather just cut it and get in lower um and also I kind of have a rule where if a stock is is really dropping hard and I've lost like five five in a row that's kind of another thing where I'll either really reduce size or stop being so active and kind of wait kind of switch up my like the way that I'm trading so the to each person's different depending

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on what strategy they're trying to take but it definitely you need to be looking for you know depend 3 to one 5 to one I think two to one it can be okay depending on what trading but you want to have that outsize reward with the tighter risk because it's less stressful those are the best trades for me I get in I'm in it I call it the driver seat position I feel like I'm in the driver's seat and I let that trade work but when I'm you know for me when I'm buying super high on a chart that's extended I'm in there and I'm immediately scared that this thing's going to drop on me

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and to really have P risk in that situation when stocks will drop a dollar. 50 cents or whatever and then I'm Market order right so even if I sell I could still get slipped down pretty far yeah yeah especially so it's you know it's kind of like you have to have risk management compared to what your strategy is and for me it's cutting losers super super quickly on almost alline trading unless it with a quality setups so you got to be very you know there's no there's no like set thing and I try to not have those set things in my trading other than not adding on losers and not like you know going past

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my Max lost and and that type of stuff where you got to live to trade another day you don't want to blow yourself out in one trading day for like a months worth of profit which it's easy to do that you you know to say no but in Tims uh the next question was resources for people getting started but I guess if people want to trade with Tim or trade like Tim you you've already mentioned the resources you've already said the room I'll put the link in the description of the podcast and I'll tag in as well so anyone who wants to learn more about your service or the service of the room that you're

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in with the way of helping your buddies I'll I'll put that link and just drop me it on email at the end is there anything else you recommend um for sure like YouTube I when I first started there was not many people on YouTube that showed like how they were actually trading I mean there's a lot of free resources out there I mean Relentless Trader streams every morning on YouTube for free his trading there the trading fer does that too I me there's guys out there as well as like me um Mighty stalk Trader and there's guys that will post YouTube videos like I have some where you can watch a whole day of trading

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of mine and you've got I don't know I think there's 200 videos or something where you can see me go from making a $100 a day to thousands of dollars a day and kind of the thought process that change from that to then so if you don't have the money and you know don't don't feel bad there's so many free resources out there now on YouTube um and and I can attest for these guys being transparent all of them that I just mentioned I can attest for them being transparent for sure Mighty St and went with Trader because I know them personally and I've met them personally and I attest a lot of My Success

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to meeting them in the chat room and the other people that kind of are around them just because man when you're around a bunch of guys that want it like that it's hard to not always like you know have a fire up under you like oh they're beating me every day like I'm trying to get to that point and then there's another guy that's way better than me that I can see okay I could get to him too so you know the networking from from Twitter and from YouTube um and just you know being active in communities is huge for sure huge yeah we just had the trade in F mod yeah I really liked

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him he's a he's a pretty raw guy he's raw guy he tells the truth he's snow ballshit he says what's on his mind I like I liked him a lot yeah um just to uh close out do you have one final piece of advice one Golden Nugget and then we'll close out just for the a final message from the today's sponsor um I mean I got to always say for me it's a I say never give up but you also have to be realistic so have something on the side try to schedule your career around trading because you do not have to just do trading you can definitely make money you know working a job

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where you go in a little bit later because for me and for a lot of traders that I know all you need is an hour two hours and there's guys that'll work their jobs from home and still do that so I it's like kind of long- winded but never give up if you really want to do trading just you can't give up and you always got to try to refine um yeah it's it's like bowling a perfect game I bowl a lot and you have to keep switching up your throw to get that perfect ball to get a strike and depending on like how the oil is on the lane and all that type of

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stuff it's just it's just little little things that you switch up until you're like oh that's that's that's it all right but then say say if you've done like 10 straight years and you've never had a green years the time to [ __ ] time to rap it or it's cuz it's not for everyone or would you just say keep going you'll get it if you're working hard every single day and you're networking every single day and you're watching every single day it should come you should see improv I I really think it should if that's if that's like where your main focus is and if you're really like truly when you are studying I know there

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are people that'll study but then maybe they're watching something inside not full locked in it's the same thing with school like I would do that when I was trying to study the test cuz I didn't care about it that much you if you don't have a passion for it I'll say that if you don't have a passion for it like a true passion to where like you're having dreams about freaking charts yeah uh yeah it may it may not be for you because yeah 95% of people lose and if you're not obsessed yeah it's hard to be in that in that in that 5% now that makes sense we'll close on that thank you so

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much for your time really appreciate you coming on here fantastic to have someone in the top end of the leaderboard making so much money give give the perspective and advice uh and we'll close out with this message well guys just wait one second I just do want to remind you all the center point Edge offering is available to everyone we've got the link just down below in the description check it out and thanks for watching

S09 | Ep. 12: Why Humbled Trader Switched To Swing Trading ($280k Verified Profits) | Complete normalized text

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Ep. 12: Why Humbled Trader Switched To Swing Trading ($280k Verified Profits)

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📅 Uploaded: 2024-12-03

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⏱️ Duration: 0:46:11

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👁️ Views: 7,011 (Rank #1 of 1)

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💬 Comments: 45

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📼 Playlist Progress: 1:32:22 of 0:46:11 (200.0%)

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👉 Check Humbled Trader's trading performance on kinfo: https://kinfo.com/portfolio/36761/performance

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👉 Get 1-month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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In this episode of Kinfo's Transparent Traders Podcast, Stephen Johnson chats with the inspirational Humbled Trader about her incredible journey transitioning to swing trading, balancing her trading career with personal life. Humbled Trader shares insights on making $280K in verified profits this year, the emotional highs and lows of trading, and the importance of finding purpose beyond money. This is a must-watch for anyone looking to gain perspective on trading strategies, resilience, and staying grounded while achieving success.

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CHAPTERS:

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00:00 - Introduction

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01:30 - Why Swing Trading Over Day Trading?

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07:15 - Burnout and Health Challenges in Trading

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12:45 - Emotional Resilience in Trading

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24:20 - Verified Profits and Transparency

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35:50 - Addressing Critics and Staying Authentic

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41:10 - Lessons Learned: Trading and Life Balance

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Key Learnings:

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- Adaptability is Crucial: Markets evolve, and traders must adjust strategies to stay profitable. Swing trading helped Humbled Trader adapt to her routine.

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- The Power of Community: Surrounding yourself with like-minded individuals fosters growth and provides valuable support.

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- Simplify for Success: Complex tools and strategies aren't always better. Simplification often leads to clarity and efficiency.

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- Transparency Builds Trust: Sharing verified results and honest experiences helps combat criticism.

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#SwingTrading #HumbledTrader #DayTrading #Resilience #TradingTips #Kinfo #kinfoPodcast #TradingSuccess #tradingpodcast #transparenttraders

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🔗 Follow Humbled Trader: https://x.com/HumbledTrader18

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🔗 Follow kinfo: https://x.com/Kinfo

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🔗 Follow Stephen Johnson: https://x.com/Jonk87

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Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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today we welcome humbled Traer who fairly recently verified on Kimo I bet you she'll never been on Kimo she doesn't know how to trade I have no problem with the Pumpers it just makes trading more fun the most profitable traders who make the most money they're not necessarily going to be the best teachers so that's why I'm so big about um swing trading large caps because I think no those tend to be welcome back everybody today we welcome humbled Traer who fairly recently verified on kall I see currently on a a 30 Kish month almost 300K on the year today we're going to talk about her trading this year a decision decision to join kall

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and a little about a brand new scanner stock start iio that is recently uh co-founded but first Fe a Trader absolute pleasure uh how are you I'm good thanks for having me Stephen I'm excited but also a little bit nervous you is isn't possible for you to be nervous how can you possibly be nervous I I was losing sleep over this last night thinking I'm might ask right questions I'm going say the wrong question I'm gonna but you've interviewed so many people no yeah but like I'm I'm an introvert um at heart so every time have to speak in front of people and I know a lot of people will be watching this podcast I

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get nervous ah don't worry it's h it's you and me both but uh yeah here we are live so look the first question is look you've been trading for a decade m couple of years longer than me as well you're now talking about transitioning into swing trading which is uh which is a crazy move it's a it's a big it's a big change uh what is inspiring this change change change now I think a big part of this transition is also at first was really inspired um by not this year but last year's Traders for cost conference when went um there was this swing Trader this um n figure 10 figure 10 figure swing Trader

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um uh K Magi and he really talked about um how with swing trading you're maximizing your profit but with day trading you're really only capturing the move of the stock in one single day so that really inspired me I went back I did some research um like all a lot of stocks I I already day trade um I trade a lot of large cap stocks when I do day trade I switch over from small cap to large caps and then I found out from charts that hey like there is a lot of Truth to what he said um all most of the stocks I day traded um on the Longs side for large caps a

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lot of them went on multi-day multi-week multi-month breakouts so that kind of it was what originally inspired me to start looking into like swing trading a l a lot more seriously than I did years before so that's the first thing to to in order to capture more upside the second thing I think just realistically um I I started day trading one was like 22 I I can no longer stare at the chart all day uh I I can no longer you know do what I used to do stay stay stay up looking at charts wake up at 4:00 a.m. every single morning because I'm on the Vancouver time zone so realistically like I I don't

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really see myself day trading every single day for the next 20 years so a lot of it is also just like realizing that hey I need a at least find a way to diversify my strategies and trading Styles so you know that's say during busy months when I'm away from the computer for days at a time I'm not just away from the market altogether I still want some skin in the game um and yeah and that was really echoed by in October shortly after I kind of publicly announced that I'm going to focus on swing trading more I got Co and then I got hit with pneumonia right after covid so I basically haven't been

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able to day trade for a month or so now I just recovered from my pneumonia so I think all this happening all at once just really kind of echoed that sentiment I had before that hey I really need to take swing trading a lot more seriously and day trading is one method to make money but it's not the only way yeah no no I totally understand that and and I remember um we had Jack Kellog on on a while ago as well and and he had that intense drive and that intense work and and in the end it affected his health um and and he's at the point of just saying like look I remember

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he made a YouTube video as well saying look I'm I'm retired I'm retired from Trading I'm not taking a full time do you think people just kind of burn out there's only so many years in the game and if you go all in like you have you kind of burn out a little bit yeah I think that's true and and also after meeting so many traders in person I'm always surprised when I find out about their age because their actual age is often like five 10 years younger than their ex their their um appearance SO trading is really ages you yeah no it absolutely does actually like I look at some Traders and I look

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at the pictures 5 years ago and I look at them now and I'm like you look a little you look a little bit older than I I thought and it's uh no but it's serious though I mean like I've traded for years as well and like I I would be like 10 o'clock in the morning and I'd be in a a big position more comfortable than I should be and I'd be thinking I need a kind of beer right now but I can't drink beer at 10 o' in the morning but it's just because your emotions are the emotions were like this i' be trembling and that that obviously takes a all on your body

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but but I mean for you I mean I've watched your videos on when you've explained the advantages of part-time trading and you kind of you you're letting the day trades play out longer if I understand correctly so like is the more Edge in doing that do you find that you you can make more profits or is it purely I need to step away it's a time thing no I I I think it's both but I do think like even even if I was you know a little bit younger and able to day trade more I think swing trading will be a very good strategy to kind of maximize your profits I think a lot of

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Traders they do have two accounts one for day trading and one for swing trading um just so you can capture all the upside that there is presented yeah and then I mean four new traders in the game I thought what you said was quite bold I think I CAU you saying um you would recommend that new traders who were working wouldn't wouldn't do trade you'd recommend them to swing trade yeah just elaborate a bit on that I think the market when I first started trading day trading part-time 10 years ago I think the market at the time presented a lot more predictable opportunities um this is just my opinion but I think after 2021 2022

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a lot of things changed especially with the smoke caps so what used to be predictable patterns for day trading I think every couple of months nowadays is something that surprises us uh even though I don't trade small caps anymore I kind of still observe I think they're just so much more kind of irrational changes or um manipulation or some random either like a stock would dump all day or a squeeze all day there's just too much random action nowadays I think as someone starting out trading part-time I really don't think you can really understand all the moves of the market um just trading parttime day trading part-time anymore uh especially on small caps so that's

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why I'm so big about um swing trading large caps because I think know those tend to be a little bit more predictable um and a lot easier to follow the trend if that makes sense no no it makes full sense and I remember like I remember when I had me best year tradeing 2020 2021 like the market seemed predictable a lot of Gap would just crap you could just rinse and repeat the same things Anda I think trading's a lot harder these days and then if you're under 10 cerence as well it's easier to follow the trend this podcast is brought to you by stocks IO the fastest simple and more affordable stock scanner co-founded

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by Humble Trader click the link in the description to start trading with the fastest stock scanner now back to the episode so that brings me to your 2024 um how's how's your 2024 going in the market I love to see that you're on kim4 it's amazing it's amazing to see your 2024 on kim4 but talk us through how it's how it's how it's been yeah um 2024 I will say I I still day traded a lot more in the beginning of the year all the way until probably July um and for me when I kind of compare because I attack my trades so I know that how the day trades are performing and how the

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swing trades are performing I I would say the the you know if I had just stick with stuck with sling trading this year I would have been a lot more profitable but at the same time there were definitely still a lot of opportunities in this year that's really great for day trading so I can't really complain so um I will say um just looking at my performance on Kimo um I think what around I'm around 280k almost 300K 300K 300K [Music] [Music] [Music] um majority of what of that is from swing trading um and a lot of big draw Downs I had this year was from day trading so that's what I meant by if

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I just focus on swing trading I think my year would being a lot Greener and a lot less less less stressful um but that also means the last couple months from pretty much from September to onwards till now in November I've been only um pretty much swing trading and I would say this is probably the least stressful time trading this year I had um and there was a lot less a lot less of this a lot more like steady climb and P back and steady c um so I'm happy to see that no but I mean like for me I I I watch what you do and I know I know that you we'll get

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into stocks stocks iio in a moment uh pretty soon we'll get to stocks iio you're doing stocks iio you're obviously managing your teaching side of the business you're trading like I look at you and and I know how hard it is I know how many hours go into the work that you do because I do a lot of it I do a lot of similar work I just think like you must be some kind of machine like how do you possibly like how do you possibly operate on this level for Su same period and that made us think like how do you do everything that you're doing being as busy that as you are and

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still manage the highs of the good parts of trading and then how do you endure the lows like what what are you doing to your mental side to like survive this um I think it's interesting that you're asking that because I would say I'm pretty much used to the highs and lows of trading now after 10 years and three years the beginning of failing I'm pretty much used to this with trading um so honestly among everything else I do like social media stocks um and my community trading is overall the least stressful part of my business um because if you think about it if I if I lose a lot of money in one trade

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it just means it's my problem like I just got to fix it and and I've had a lot of big draw Downs over the years as well and I've managed to to get through it so I think a lot of times it's just a matter of reflecting on past um big losses or bad trades and realize that okay what what what kind of tactics or how did I um get through it the last time around and I'll just rinse and repeat the same process and usually that process is just downsizing if if a big losses from day trade I'll downsize my day trade position um you know at least for two weeks and then I'll

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would keep track of my performance my journals and once I get back to my normal that's say win rates or normal risk reward that I usually have then that's when I slowly scale back up um and I've been pretty much using this exact process for the last three years um and and I'm pretty sure I will have to have big losses again in the future so it's just a matter of remembering what it feels like right now what I used to get through it and repeating the same process let's say in six months or a year if I have a big draw down again but I mean you you must be pretty level-headed to go

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through all of this um like do do you feel like you like a lot of the best Traders are without emotion do you feel like you fit into that category or you can manage your emotions your emotions your emotions or I think I'm I'm actually a pretty emotional person yeah I see it on your videos that's what I was thinking and that's why I asked because I see the emotions I see the character on your videos so I'm like this girl's like a normal girl she's just like which is she's doing really well in that trading so how how she handle it trading yeah I'm really emotional but also at the same time I don't

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think it's about like eliminating all emotions I think it's just about understanding your emotions like I know when I'm about to tilt because I've done that before so I just stopped myself so I think it's Mo mostly about understanding why you're emotional and when you're about to be really triggered to get very emotional then you stop that's it so you don't get to the point where I'm emotional in front of the keyboard but rather I'm emotional outside my office or outside of the home you have that yeah you can say because when I like I did okay in trading I'm I'm net profitable overall but but when I get emotional I drink a full bottle

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of wine and continue trading oh no and I I think I think I think that's a bit of a downfall I think that's where I'm going wrong I'm not I'm 100% but I think that's where I'm going wrong I start drinking a bottle of wine and things go wrong and I carry on I think what you should change is make it two bottles of wine but outside will be all I think that's I think that's the Cure here no I think I can have a bottle of whiskey I'm just not allowed to I'm not allowed to trade the next day but I've got I've got one one final question then I want to get on

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stocks iio because I've been on stock I'm really really impressed with the platform I think you've carved a real niche in the market right there and it shows a real business a business Acumen what you've demonstrated here so we'll get into that but I just want to ask you look you work I I know that you work incredibly hard we've talked about it six seven days what drives you what is the drive behind all of this this this H I think that's a that could be a very deep deep deep question question question um hm um hm um hm like if if we're gonna really talk about the root of all this it's like I

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guess growing up no one wanted to be my friends in school so I I just feel like I was never good enough to be someone else's friends else's friends else's friends really yeah sorry do we just like get a little bit too deep but no no I'm absolutely love it I'm like give me more but I don't want to I don't want to push you too hard on it yeah yeah like I didn't have many friends especially after I immigrated to Canada like I didn't speak English um I was just kind of nerdy overall um so that's not exactly a good combination to have friends you know like I'm not popular at school didn't go

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to prom didn't go to grad events barely made it to my graduation um but but I think I think at the root of it like it's like I always felt like I need to do stuff to to prove that um hey like you know like like you know like I'm worthy of being someone's friends or something else so I think that's the root of it um so it's not really about of course I want to make money while doing it but it's not about the money it's just about oh I want to move on to the next challenge the next thing um so I can I can add more I add more things to like

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the projects I've worked on failed or currently working on um I think that's the root of it you know like I I I want to make sure that I'm a worthy person um whether it's to my friends or my parents or my future partner yeah no I can completely understand um since since you went deep I'll go deep and then we'll go stock AIO but from for me I I was like um everyone sees me online as like the funny guy the funny guy who who says funny things and gets drunk for YouTube but uh the reality was that when I was in school I had many periods without friends uh got bullied got bullied

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and stuff like that and something has driven me to prove not prove everyone wrong but prove myself right it's something like that like I need to prove that I'm worthy of me Dad's attention Dad look at it and I'm not a excuse me language I'm not a up Dad I'm not a up M look what I did like and it's like I want to prove through success that I can I'm just the same as you I'm worthy I'm worthy and uh there's this drive that that makes us want to work five six days a week for me it's a marketing business and trading for you it's it's all of your businesses but it's a good

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thing do you think it's a good thing in the end it's a good thing in the end because you've got where you are now yeah I think it's a I think overall is nit positive as long as but of course there a all downsides it's like yeah right like I I mean I don't need to talk about it but but that's the reason a lot of Traders High performing Traders are super depressed yeah it's like once you get there like what's next right like so so I'm I'm I'm pretty uh I I reflect a lot uh that also means I'm really emotional because I I reflect um um yeah the question you ask what drives

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me I I think about this like every week and I I know what drives me I also know the downsides um which is why I'm actively swing trading is a good solution because it gives me a little bit more free time and time personal life with my friends and loved ones um um so I think that's also another reason because otherwise I feel like I'll just fill my day my Google Calendar is always full like I feel like on deep inside I enjoy seeing it full and and and it shouldn't be like I I should get some r no but it's it's um I know I know exactly I know exactly what you mean um

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but like I I enjoy I enjoy the Chase and but I know I also know like a lot of people see the success and they don't see the downside but for me even for me I haven't even achieved that much but a lot of people say ah Stephen what you did is really cool and you've got a nice following but I'll say yeah but I still feel a little bit sad when I go to bed at night still feel a little bit sad sometimes before I go to bed at night thinking am I enough have I done enough but but like you've got to take the bad with the good and and I take the

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bad with the good and I would never change who I who I who I am yes so anyway that's the therapy lesson for the day and thank thank you for the therapy class by the way I feel a little bit I feel a little bit later I hope you feel a little bit lighter I'm hope feel like I I unlocked a little bit of trauma there so thanks for that U moment that was shared but um going on to stocks iio you've you've launched co-founded a brand new scanner and you've built and brought it to the market in six months which is if anyone knows technology it's crazy it's crazy to do something like that

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so uh tell us a little bit about that yeah um so stock IO uh I'm actually not the founder I'm a co-founder uh I was approached by uh the founder of spiky so uh we kind of started talking uh near the end of 20123 um about how we can work together and I had the idea that hey my biggest issue at the moment with my trading is that uh my scanner you know at the time I was using a previous scanner it's not the most intuitive it's clunky and I hate it the number one thing I hate when I'm about to travel is is you know I you have to download all the settings and

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like move it to a USB put in your laptop and I reload everything um I hate that I hate that process because once you have a couple different like trading platforms it takes time to do that um so I was like okay can we just make a a web based better scanner that's easier to use um a little bit more you know beginner friendly for users and not so heavy to carry around so that was the entire thesis and how stocks the idea was was was originated um and then you know I had no idea we can build things out so fast in six months um and then he actually built it so he's in

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charge of building the software developing it and I'm the person in charge of customer feedback uh marketing and obviously teaching people how to properly use scanners and all the different strategies that you can do with your scanners um in order to kind of succeed as a Trader I mean and I and I I've used the scanner and um it was funny because I I loaded up the scanner and I thought here I go one more scanner one more scanner that I'm going to have to look at and I looked at it and I thought wow I actually understand everything on the scanner straight away like I didn't have to um I didn't have to learn

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anything I didn't have to watch a tutorial I just thought it was like intuitive you know like an iPhone where you just know where to click the buttons it's like all right this is this this is this I press the he button for this but I mean why why did you feel the need to bring out something like this like this like this now yeah I think you're right there's a lot of scanners out there already but I don't think there's anything that's very easy to use it's either too heavy or too too heavy too clunky or just like you said you lock onto it and you're like overwhelmed like oh shoot like what's going

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on how do I you know like a lot of Traders say only need a specific aspect of the scanner that's it that's all they use and they would just want to load it up and it runs in a background and becomes like a really seamless part about their trade planning process and they don't have to like overthink about oh checking the scanner every every second um so that's the whole idea is to make it very simple to use and I'm glad that it was very easy for you to understand as well that's the entire thesis something simple something that Traders can let aage um it works well on mobile too so that's another thing I

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want something that I can just see on my phone um without loading it up on my PC yeah I know and like look everybody says don't over complicate trading case keep it simple stupid yeah I guess is that the goal that you've kind of gone with of like just don't make trading because like I'm I'm turning 40 in a couple of years and like I'm starting to not know where Zoom buttons are and not know where like Microsoft email buttons are so like is that the goal like make it make it good for everybody yes yes that's that's the goal and uh Stephen you'll be you'll be you'll be the you no but yeah it's

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just just to make it really simple because not all Traders are techsavvy like a lot of Traders they've been trading for for decades and you know they they they are not in in touch with the latest AI the latest latest uh Motion Graphics and what not so we just need something that loads up and then people know exactly how to use it and I hopefully we've achieved that um from what you just said no no and it's funny because like I mean this happens in the market as well with companies but it's like I see a trend recently with scanners where it's like a we'll just put AI on the website and we'll charge an

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extra $100 a month like it seems like like something like that's happening so like what's the price of your scanner CU it's I think it's cheaper than the others no yeah it's it's very cheap uh it's $70 a month well $5.99 for the whole year yeah so that's in comparison to a lot of our other competitors at 120 130 or if you want AI I think it's like 220 or something like that per month um and and and and you know granted they they do give a lot of extra features but I know most Traders don't need all the features that they offer at a 120 price point or 220 um so you know so

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that's where I think stocks really comes into to shine because it gives you news feed pre-market Gap scan um you can create some custom scans to sort out um the small caps large caps um institutional ownership Insider ownership um short percentage which is really important for certain traders who trade small caps um so it gu just gives you all the essential information you need in a very easy to access um platform so I think that's the biggest differentiator is that you don't need all the bells and whistles that a lot of other heavy scanners have you just need you just need this a very essential way to gather all your Market data for the stocks

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that you're looking to trade no no 100% AG great I think there's generally like six or seven indicators that you can everyone every Trader has an a thesis and as long as you've got those covered I mean that works but I mean so so you've built this you've brought it to Market in six months what's next is it is it going to turn into a much bigger thing or is it going to be like simple intuitive it works it's not too expensive and that's it no we have a lot more planned um for stocks um the first phase is just having a simple scanner which I think we've achieved that the next phase is to

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kind of start integrating more features into it um so it becomes this o and one platform that any stock Trader will need to do all their research because right now you know that we have um we a lot of Traders do different softwares for everything let's say SEC filings that say news that say scanners that say you know they have another place to to store their trade ideas we want to bring all that into one platform so what's coming up on stocks IO is um alerts that's being worked down right now alerts not just price alerts but indicator alerts um alerts when the stocks hit certain technical indicators that start fitting our our our criteria

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um and also watch list is up next where I can start putting stocks that I'm watching I I usually just leave all the stocks on my um D trator Pro platform but I want a way to keep track of it all in the same place as my pre-market scanner so I want to a place to seore my watch list and put alerts on them when it hit certain indicators well when the charts hit certain patterns I'm looking for especially for swing trading so in a lot of ways selfishly stocks is just a way for me to systematize my process and make everything seamless um for for day trading and swing trading no and like all

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of the best thing all of the best inventions are ever born of um the founder not being able to find a solution to the their own problem that they have right so you've had this problem you bessed around with USBS you found software clunky and you just said look I'm just going to build this myself I'm just going to build something myself with with with your partner with Spike eat and um and know it sounds like something cool so the end result is basically an all-in-one platform covers all of the needs it's not too expensive because a lot of Traders lose money at the start yes first first year is pretty brutal can be pretty

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tough see you're trying to limit the cost as well Ray yes yeah so hopefully I mean the the the reception has been good so far uh we launched in um May of this year may end of May um so yeah it's yeah it's been six months six months six months um yeah it's it's been a a lot of uh another thing is because we launched a product so fast there's a lot of bugs so we've been just been that fixing bugs the entire six months and pushing out charting and news feed um but it's a it's a lot it's it's a lot of work but I also um enjoy the process because it's a different

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set of problems that's different from everything else I've done before like trading or YouTube or even running my community every time every time I start these new business or new projects is a different set of problem and I enjoy um being challenged yeah but I mean it's h i don't know what you're going to do next because like you've excelled in trading you've excelled in digital and social media you've excelled in mentorship and chart rooms now you're trying now you're going to excel in in a software platform I don't know I don't know what you're going to do next I don't know what the next goal is after this I don't know but no there's

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always a lot of things to improve on like like I obviously for my trading like I I want to start optimizing my swing trades more and start sizing up a little bit more I think this year has been a lot testing um trying out different strategies and knowing what works and tracking them uh next year if markets still continues the uptrend I think that's when I'll start like holding in um one or two of my swing trading strategies and scale it up more hopefully we'll see yeah look and then we we don't even need to ask you about your trading we don't even need to ask you about your strategies because I say on your

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YouTube channel you give like n nearly all of the details away you're very you're very um you're very generous in in the YouTube content and the fact that you give a lot of the strategies Away online on your videos and maybe that's one of the reasons why you're so popular so if anyone wants to learn more about the strategies uh you can watch the videos on the channel for you but uh any any final words on stocks iio uh before we move on we'll put a link in the description right so people can can click and sign up or any final words um no I think people should try it for themselves and see if

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it fits their current um stock research process and uh yeah and of course I'm always open to feedback so if we don't have certain things that you're looking for feel free to email me and we'll put that in the develop vment P pipeline for stock SLE yeah I know and I think that's a cool approach to kind of let let people help you build it like almost open source kind of thing but uh we're going to get we're going to get on to some uh some fun questions I've I've had a few few questions that I'm like excited to um to ask you the first one is that you verified on kall on September of

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September 30 this year H I just want to ask you what made you do with yeah um I actually got access to Kim for after last year's uh Traders for cost so I've been on there but my account was private for a long time um and at the end of September I was going through some things like I was upset with like a lot of things were difficult um my trading I was struggling uh my YouTube I was struggling stocks I was struggling I'm just struggling like at Old fronts and then at the time I was really triggered by this one negative comment and and it's part of social media I see I see know

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good both the good and the bad every single day um but you as you know you've been on social media long enough that it doesn't matter if you get hundreds of positive comments you you're always going to gravitate and pay attention to the one negative one yeah so that's what happened um I saw this comment basically saying like like saying like oh like she she's she she she never pre uh practices the strategies that she teaches on YouTube um I bet you she'll never be on Kimo she doesn't know how to trade she's never played a profitable tra her whole life like I was already having a bad night and I saw that and I

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was just like bro I've been on kful for since since I got the the access like uh no last year like being on there let me just switch it to public and then I'll see what happens and then you know at the time I was scripting the the the video that I'm currently in a draw down that just kind of put that kful part in as well just just was a way to kind of say that hey like you know I've been real about my losses you can see it here but I've been real about my profits as well so you cannot just say I keep losing money and and and yes I admit I

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do lose money I do say that in my videos but you cannot just take those ones and ignore the profits I made it's like this both wins and losses you cannot just focus on my losses so that was kind of like the the trigger and the the point where I turned my Kimo to public then I was like Hey like here you go this is it I mean you see the tickers I mentioned that trade that you see the Nvidia trade you see the penter trade you also see the losses I talked about um I lost a lot of money on Chinese stocks like you see it you can see it here um so yeah

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that's that was the trigger and that what made me kind of go public with my kful profile H it's funny so it wasn't some like thought out decision you just saw some guy got annoyed about it and just thought look do you know what it is yeah here you go I'm I'm sick of it yeah like it's it's hard like social media is overall it can be really bad for your mental health and then and especially that's after being on Kim for a while like just private it's just because you don't see it public doesn't mean it doesn't doesn't doesn't exist yeah but is there a sense of like I mean look you're you're in

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the I think on the all on this year's leaderboard you're you're in in the one of the top ranks I mean is there a sense of just here you go I'm a profitable Trader I'm doing doing doing fine get out me life is there kind of something like that or is it did he just want the pressure to go away or or want the stupid prove the person wrong or no no I cannot learn to realize that there's no winning uh so I just kind of like it's like it's here because that person specifically said oh I'll never be on kful I'm just okay it's here like it's here like do what you want with

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it like I don't think I I really do mean it when I say like I I don't think like I get it a lot of people who um um have education programs they they do probably do think like you know going public with your performance is a really good marketing tactic yeah um I can see that but for me like I never wanted to use that as a marketing tactic I guess um I just see it as because because the number one reason is because I believe that the most profitable traders who make the most money they're not necessarily going to be the best teachers yeah yeah 100% so that's the reason like I don't

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think um that's the reason for me to make this move it's not to prove people wrong it's just so like there it is it's there so can you like shut up about me not being a p like that's it don't bother me about it anymore don't bother me about it it's St like done no I just want an evening of Peace that's it but yeah I'm sure your comments are overwhelmingly positive on your on your channel from what I say it's 90 99% overwhelmingly positive no MH yeah I think so yeah and I appreciate people who um took the time to leave positive comments like I appreciate those because sometimes it's tough no no you've

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got a you've got a whole Army of followers but I meanc because you've got this status do you find that um and you're on K for now do you find that is there any more pressure is there any more motivation now that it's kind of verified in public um I don't think it's I would say before I went public on P Kimo I thought there would be a lot more pressure I thought I thought that was going to be you know oh if I just open this up this Pandora box there'll be a lot more pressure a lot more criticism and just a lot of like unwanted attention that's what I thought and and that's

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probably the reason why I just never like went public with it um um because I I I do try very hard to keep certain aspects of my life private um so that was the part I was trying to keep private um but I would say um fortunately and like you know to my surprise uh I don't think I've gotten any pressure at all uh or any criticism at all after I went public with my kful profile so that was a really pleasant surprise and surprise and surprise and and of course knowing this what I know now I kind of wish I had went public sooner yeah I don't think anyone's bothered right they just I

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think someone just thinks like if you're selling something it would be cool to say that you've made money and I think that's that's the only the asking then you did it so like that's that but I mean on on a more of a fun fun topic and I'm curious on your answer on this Pumpers there's a lot of there's a lot of Pumpers out there in the industry you'll know I'll not see anybody by name but you'll know you'll know some of the Pumpers in the industry can I ask you do you do you personally love the Pumpers or do you personally not like the Pumpers because some people love the pumers because of the

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volatility so what's your thoughts on that yeah I mean I love it I love it if it weren't for certain Pumpers we wouldn't have some pretty big moves on the on certain large cap and small cap stocks um so no I love it I think they provide um yeah volatility they provide opportunities for us Traders and it just makes trading more fun no that's why I I I think it makes really more fun um and changes things up so no I think I have no problem with the Pumpers would I do it no uh I think what they're yeah what they're doing is morally and ethically wrong but like if we're talking about trading we're

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all capitalists like we want to make money so it provides us opportunities to make money so yeah I think it's great no no and this is this is the common answer that I get get from everyone and do you have a just curious because obviously I think for you you're one of the higher profile mentors out there in the game for for sure but I was just curious do you have a do you have a mentor that you look up to or do you have a a furu like a fake Guru that uh that you just find funny or like in any kind of way as well um well um well um I I probably

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won't name the furus uh but I will say just in general like I I I look up to I already mentioned him earlier um call Magi he's not Unk full um but I look up to him a lot um there's other Traders I look up to like Stephen Ducks extremely like you know databased statistical I enjoy um I interviewed him a while ago I really enjoy that interview it just going into the interview I knew I was going to learn a lot from him and I did but I I felt like I was like mind blown by the way he thinks so I think he he he's definitely someone who's very out of the box

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um so I I look up to him a lot um other Traders are my friends I I I enjoy hanging out with Eduardo very positive guy um Jay Trader too when I was uh I will never forget this what um when I gave my speech at Traders for CLA um in um in um in 2022 he was be in front of me um and then we were about to go on stage to talk uh sorry separately he saw how nervous I was and he just like he just like stood there and like gave me like a pep talk and like hey you'll be fine like he like he like squeezed my shoulder like you're okay

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with his squeezing my shoulder I'm like whoa I'm like destroyed right now but but I just I just appreciate a all of these up positive gestures um from him Eduardo and other peers in the industry um and and of course I'm meeting um Kyle Williams I met him last again last week um same as huie like I I really enjoy listening to these Traders talk about the strategies the way they think and the process so I look up to all of these people yeah I know 100% understand because I because I because I mean just to to quickly touch on like when I grew up I grew up with like workingclass area All of Me

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friends just get drunk all of the time in the local pub five days a week and I just never I I did do that when I was young but I never I never gelled with it I always wanted something more and I found that when I was going to these events and when I'm doing these podcasts and when I'm interviewing different people like you and and like Eduardo and like Jay like I I learn that that rubs off on you do you remember that quote you're you're the product of the people that you surround yourself with yeah it's true that that really read resonated with me because although I've never made millions in trading it's

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being around people's in instilled my work ethic to be more to be better and to achieve more and that's priceless but is a I mean I don't know if you got any comments for that otherwise a final question is just if you've got any final golden nuggets any tips any thought can be anything to uh to close out on yeah I think to to kind of reflect on what you just said um I think a lot of people they go into trading obviously because of the money but I think what keeps people staying in the game of trading it has to be a little bit more than just money it has to be um positive

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competition has to be meeting other Traders and they inspire you to kind kind of look into your strategies and change things up um so it has to be it cannot just be the money that keeps any Traders going and you need kind of need to have like some sort of Drive um from external forces or from within yourself or from like your childhood trauma that inspires you to keep going so so trading in the money is not is not the end game for most Traders I know it's not the end game for me um I think people especially if they're beginners watching this they just need to realize that that hey like obviously we want

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to make money but once you start making money you know you need to find some other sense of purpose or other other sense of inspiration um from other Traders or people around you that inspire you to keep going because otherwise like there's already too many millionaire traders who are depressed like otherwise that that will going to be the the result for a lot of traders who only chase the money yeah and that's the reality I think people doing who don't have the money they don't know they they've always got the dream that when you get the money they'll be happy so they can work through it the whole life but the most dangerous thing that

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can possibly happen is you do get the money and then realize that it doesn't make you happy yeah yeah that's very true and I'm really scared of that so so that's that's why I I actively seek things outside of making money or trading to like kind of like enrich my life and that's when you look at like stocks iio and you look at like building your confidence of thinking wow I built I built that software like wow I managed that project and wow I've built this YouTube channel it's like you get you get you get things less superficial than money I guess guess guess yes uh sh it's been an absolute uh privilege to talk

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to you privilege to interview you I've seen you interview the best traders in the world so for me to interview you is is a a personal personal high point for me so really appreciate your time yeah thank you thank you for all the thoughtful questions too thank you for what sorry awful thoughtful questions thoughtful ah right I know we went a little bit deep went a little bit deep we didn't plan to go deep there was no deep questions in the in the in the original plan but it was fun yeah thank you so much stepen thank you

S10 | Ep. 2 Of Transparent Traders - Top MILLIONAIRE Trader Huddie Reveals His Core 3 Trading Patterns | Complete normalized text

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Ep. 2 Of Transparent Traders - Top MILLIONAIRE Trader Huddie Reveals His Core 3 Trading Patterns

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📅 Uploaded: 2024-07-12

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⏱️ Duration: 0:25:34

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👁️ Views: 2,207 (Rank #1 of 1)

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💬 Comments: 9

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📼 Playlist Progress: 0:51:08 of 0:25:34 (200.0%)

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👉 About Clover Trading: https://www.clovertrading.io/pages/home

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👉 Check Huddie's trading performance on kinfo: https://kinfo.com/portfolio/25843/performance

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👉 Unlock $7,500+ Industry-Leading Trading Tools FREE: https://centerpointsecurities.com/kinfo/

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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Join us as we dive deep into the world of trading with top trader Huddie from Kinfo's leaderboard. In this insightful video, we discuss Huddie's trading strategies, the value of transparency, and essential tips for new traders. Whether you're a seasoned trader or just starting, you'll find valuable information to enhance your trading game.

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🌟 **What You'll Learn:**

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- Proven strategies directly from Huddie's 9-year trading career

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- The importance of transparency in trading

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- Tips for adapting to market changes

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- How to effectively use data and statistics to boost trading success

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🔑 **Key Takeaways:**

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- Mimic the best to improve your own strategies

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- Size your trades wisely and avoid common pitfalls

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- Understand the life cycle of a hot stock

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- Use programs like Spikeet to gather crucial data for better decision-making

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#trading #daytrading #trader #tradingtips #stocks #stockmarket #transparenttraders #tradingstrategy #tradingforbeginners #millionaire #millionairemindset #finance #money #moneymaking #financialfreedom

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Thank you for watching, and happy trading! 🚀

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#TradingStrategies #StockTrading #FirstRedDay #WinningTrades #PositionSizing

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CHAPTERS:

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00:00 - Intro

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0:22 - Huddie’s Trading Style

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2:28 - Adapting to the Market

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5:37 - Why Are Patterns Changing

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8:50 - Trading Changes Since 2020

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13:12 - Transparency in Trading

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14:41 - Finding a Trading Mentor

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17:18 - Impact of Pumpers on the Market

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20:09 - Trading Advice for Beginners

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25:20 - Sign Off

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🔗 Follow kinfo: https://x.com/Kinfo

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🔗 Follow Huddie: https://x.com/MikeHuddie

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🔗 Follow CenterPoint: https://x.com/CenterPointSec

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Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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today we have huie I really love the way that the market has been we're going to discuss his trading strategies and that's what I've learned in my 9year trading career like pns they come and go the value of transparency my opinion on this is very personal and I think puers bring opportunity and his tips for you tra us both people are watching the wrong stop the first thing I think most F need to understand is side today we have hudie a top Trader on kin for's leaderboard we're going to discuss his trading strategies the value of transparency and his tips for new Traders but first very quick reminder Kino pro and pro plus are now

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free for the first month so all you have to do is log in click upgrade and you'll get access to those Advanced reports and analytics but first of all hudie absolute pleasure to uh to speak to you today how how's life how's trading yeah long time no see you Stephen it's good to see you uh it's good to talk to you thanks for having me on the podcast I'm very excited to talk about trading trading has been kind of uh uh uh you know every year you're still learning and even in year nine I'm still learning I'm currently living in Miami enjoying life out here enjoying the East Coast hours predominantly they on the West

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Coast Trading so uh this year has been great I really L the way that the market has been the volatility has been exceptional especially in small cap and we've had some really cool events I mean Rory and kitty being one of them I'm sure we'll talk about it a little bit yeah I've got a question I wasn't sure I was going to ask you but I'll put it in a bit later but first of all just to get into your trading your trading Style I remember about 5 years ago you once said to me mimic The Best [ __ ] The Rest in reference to adopt improving strategies do you do you still have that Mantra and

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trading I really do I mean I I figure at one point you got to find a mentor you got to find someone that you believe in you believe in their trading style you believe their profits and then your job whether it's trading or anything in the in the world that you have a mentor for you really want to be coachable you want to be able to mimic exactly what your Mentor is teaching you and not try to have your ego you know take you in a different direction because you think you know best in my opinion the wheel has already been created for us why white create a hover car when driving on the road

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with four wheels works fine just make the wheel a little bit better or find tune it to whatever car you're driving yeah know it makes F I mean look trading trading is hard enough without trying to figure out some sort of New Edge right sure um yes in terms of of how you initially got profitable I kind of recall that you were you were very very focused on the first red day button is that still something that you're running with do you still Trad it has it changed it's definitely morphed over the years it's not the same setup it was back in 2017 2018 and 2019 uh main frequency of how often that pattern's coming

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around is it really there and a lot of the times I am getting kind of squeezed on that setup so it's actually no longer my bread and butter and that's what I've learned in my nine-year training career like patterns they come and go and sometimes the pattern is still there but you need a different perspective on how to execute it maybe the short is not necessarily right at Market open but it's into a previous High instead of where it once was right um so so there's little minute differences that kind of go with each pattern first red days yeah that's something that I focused on for four or five years and since it's become still

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a pattern that I trade but less frequently um definitely less frequently so so in terms of like observing and noticing the nuances is that statistics or data or are you using statistics and data to kind of measure points this this entry is better here than there one of my main improvements to my trading this year has been using a company or a program called spy uh Gathering data to kind of have a better idea of what the daily expected value is where do I think this candle is going based off of the Open The Gap number of days in the sequence Etc so I have been adding a lot more data to my trading um

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and yeah in the data like alone like overextended gap down specifically the ones that gap down aren't that profitable I mean unless you're perfect in including slipit it's probably break even over the long run at least how I Define it so it's not what it once was yeah because I think it's personal to me I guess because I I really went on a good run with uh gaping crops and I went on a good run with gapin crops somewhere in 2020 and the patent worked for about a year and I thought I was going to be I made the first 100K I thought it was going to be a millionaire I thought life was sorted

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and my ultimate downfall was one discipline but two not being able to adapt to patterns and you seem to have been able to make that adaption so what would you say to the Traders cuz I'll not be the only one what would you say to the traders who have failed to move with the market and because it's it's really hard the first time to crack a pattern that works you've got to do it again and again and again yeah so uh the first thing I think mosters need to understand is size is overrated I think most of us are trying to size into the tightest risk level in order to experience the most reward relative

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to our risk I think often times for Traders that takes them out of the play too early so a lot of times especially with dapping crafts you have a situation where they're trying to manipulate you up they're trying to wake it up they're trying to wake it down and so if you have tight risks whether it's high day or not you're most likely going to get Wicked out and the play will still kind of fade the way that it's supposed to but you didn't have the right risk level going in right you is just general so yeah um I forgot the question what was the question specifically no I was I was just thinking how

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do you how can you explain the traders that they need to kind of adapt or how do you what process do you follow for you to adapt because most Traders just get stuck on one pattern yeah so the first thing it is is like cracking your traits right you need to understand you know if you're trading one specific pattern what's your average win what's your win rate what's your average loss and over months in many sample sizes you're going to get kind of an idea of whether you're hitting it consistently and the equity perur is kind of going up in a straight fashion or is there a lot of chop in between and then you

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have to decide is that chop because of me because I'm taking myself out of the trade too early or is that truly because the pattern is broken and that's what I was you know kind of referencing with earlier which I I really think Sid is overrated because the second we start losing big dollar amounts is the second we want to really stay away from that pain we don't want to gravitate towards back to that so having some kind of consistent loss level where you can trade it 3040 50 times maybe it's not a 50% win rate but with some type of good risk reward at the end of 50 trades you shouldn't be blown out

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if it's a good enough setup and you can kind of identify whether this is something we should continue to trade or not for me again a lot of the first red days that were gapping down we're just going green back in 2017 2018 you didn't see that as much uh it was a much more power level or a line in the sand that never got crossed so it's a risk level that I trusted and now I don't trust it as much um because I just see a lot more losses in my data yeah do you ever um do you ever think of the reason or the rationale why the patterns are changing do you ever

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guess that or do you just think that the numbers are all I need to know about there are some things we're going to understand and there are some things we're not going to understand right and I just try to put myself in situations that I understand I don't try to figure out the impossible I don't know if it's an algo I don't know what is going on in the market most of the time I just know what is supposed to happen and where my wrist bubble is right um I Can't Tell You Why green red used to hold like like a GI it was like magic I would short I would put my stop loss

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for needed to go at the end of the day I didn't stop out now if I do that I stop out right and I don't know why it rejected so well in the past and why it doesn't reject anymore uh maybe there's more short sellers um I don't know I can't I can't tell you though but you're literally just following behavioral patterns and Trends and and waiting for what should happen to happen and then if it doesn't happen you get stopped it's basically it exactly W yeah I and that that's the nature of trading right you have you have a setup you have a plan on how to get in what triggers the the entry

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and then you have an expectation of where you want to cover either a price Target or a time in the day that you want to cover in uh and you wait and it's a lot of waiting and not pushing buttons because a lot of the times our Traders kind of M themselves up is when they start trying to add to a winner you you hear so many lines on Twitter and through the training community of like these like euphemisms of you know tight risk wide reward stuff like that and it's like I think when 90% of people start believing the same concept that's when the concept starts to break yeah absolutely 100% understand that and

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in terms of from 2020 to say 2024 have you adapted your trading approach now compared to the past so it's been it's been it's been so again I've been trading for nine years and it's kind of crazy to be saying that um in the first three to four years where I was very consistently profitable I was trading majority first red days as we were just speaking about then in 2020 and 2021 it shifted in that moment first red days were actually turning into like first gday breakouts like the pattern was shifting where they would kind of recover into the end of the day the the overnight interest was quite High to even swing them and

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then the next day they were kind of breaking out we were in a market where a stock and put out a toxic offering and it's gapping up the next day and no one cared about the fact that they're going to dump millions of shares and the stock would still go up so it became a market again adapting right it became a market where it wasn't it didn't beho me to be a short seller I I along the stupidest trash and it might Gap up and there's pretty good odds of it happening so 2020 2021 I became mainly uh long biased I I pretty much only bought thops and and made a killing and then 2022

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it shifted again and every stock that I bought was either a fake breakout or LED to an offering of some sort because these companies needed to get cash even more now um and so and so longing wasn't the thing anymore first red days weren't really paying me that well uh it was a lot of like $7,000 months and then minus $7,000 months so really not moving the needle forward although in the moment maybe felt good um so that led me to this year where I said hey I'm coming in December uh you know I'm in Thailand I'm making my resolutions I'm making my business plans I'm saying what do I want to achieve this year

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and how do I want to achieve it what patterns do I want to trade how much money do I want to start with how much do I expect to make at the end of the year risking this amount on every single trade and part of that Dynamic I mean the three trades specifically number one and the main one that I've been trading is the gaping crap um with some mixed results but predominantly net profitable that was kind of the easiest data sheet for me to attack on spiky and say hey what percent gaps likely fail how much do they specifically Spike or normally spike uh and where can I kind of identify Trend breaks or

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areas to get in to experience that all day fake and that's been predominantly the number one trade that I've taken all year there's been so many gaps that it's been a good market for it and that's kind of the one thing that I keed it on it's it's a good frequency and even if some month it's not profitable it keeps me busy most days and has a decent amount of risk on the table where I don't find myself pushing buttons on setups that don't have data attributed to that and that's a really good thing for a Trader is to have a qualified setup that keeps you busy because if you're not busy and you're searching

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for a setup you're going to find something sub part a trade and then take an unnecessary loss almost every time um the other two setups that I F myself I trade this year but only the best of the best if I can identify them would be first red days and a couple breakouts here and there um but predominantly you know this year I I want to focus on Gap GRS I want to have a year of data and at the end of the year say okay this is how I've done on them you know am I going to continue this into 2025 we're going to quickly take a quick break here I'm just going to

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jump to um a message from today's sponsor and then I'm we're going to jump into some uh interesting questions on burus and gurus if you're an active Trader then Centerpoint is the broker designed for serious Traders like you Centerpoint offers Advanced Trading tools flexible rooting options and an extensive short inventory to give you the edge you need with Next Level customer service when you join Centerpoint you gain access to Centerpoint Edge an exclusive program tail ad exclusively for Centerpoint clients with Center Point Edge you get free access to over $7,500 worth of industry-leading trading tools that you won't find at another program this includes amazing resource like Kino benzinga pro trade ideas dilution tracker and

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more click the link in the description to elevate your trading experience with center point where active Traders get more so hoodie first question on transparency gurus and furus I mean what motivated you to join kall and and the second part is has it benefited you personally or does it benefit anything with Clover with Clover with Clover trading yeah so one of the way way that we wanted to differentiate ourselves amongst the other educational trading rooms is to be 100% transparent I don't believe you can learn from someone unless you actually see their traits and you kind of get the confidence to know that it's possible so Kito was a really nice uh program or or

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use case for Clover because it allowed us to be verfied by third party uh but again some that's not affiliate with Clover at all and so our students or the people that are interested in learning from us can actually see our trades our Equity curves our risk reward ratios and can actually make that that educated decision of is this someone that you believe in that can actually educate you and take you to the next level and without a company like kinfo it's hard to really show the public that you are profitable because you can hide trades or you can only post your best trades on Twitter and leave out all the ugly I mean you

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see it all the time right I'm not really someone that posts traits I don't really care about showing off to Twitter about my loses or my wins but I am 100% on Kino my accounts are there and it allows my fos to backtrack what I'm saying and I think it helps with the learning process so it's really difficult for a new Trader because it's it's like a a swarm of people run into ATT track the new Trader to try and Mentor them so with all these self-proclaimed gurus what qualities should someone look for in the right mentor and what red flat should someone avoid to avoid the furu yeah um it's tough because I think

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it it it revolves around having some kind of wreath on a character I I I like to say like if he needs to pass you or she needs to pass the millionaire test okay do they care about how they they present themselves you know do they work out do they eat healthy do they socialize do they not have a good time are they social you know social people I mean all that kind of matters so first of all are they likable you know um and that that's just you're like judging a book by the cover and you kind of have to do that at the beginning because we're dealing with internet personalities right so do

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they jive with their their inner personal life like does that someone you want to Aspire to be is that and generally like that would lead me to someone that I think is relatively successful or they have good discipline or or good routines and you're going to need that whether you're a guru and and stop treating or anything you need routines and disciplines across life and and then the next thing is what do they trade um you know for me my my main person I looked up to was Tim gratani it's because I really wanted to short first red days and he pretty much created the textbook for first red days so he was you know

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not only that I like the way that he presented himself but also I really lik the way that he traded I liked his um transparency where you could actually see how much money he was making he wasn't [ __ ] footing around he was you know making 80k in a day sometimes uh if not more if not less it was just really inspired it and I said okay I want to be more like that guy and so that's why I found Tim grani and that's what led me to be to be to be profitable yeah no I absolutely love those uh gratani webinars back in the day as well and they were amazing yeah unbelievable and and

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I don't know how relevant they are today I'd imagine it's always relevant because history is always going to repeat you think they're still relevant a lot of that education to take away even as mind yeah I mean look if you're looking at like GameStop the other day and you have like a stock that's on a third Green Day gapping down for the first time has a conference call later in the day or webinar you know media sell the news event and that's all you know A+ type of Tim gratani setup where you had you know again I kind of just said it but third Green Day gapping down sell the news event yeah he's going

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to want to go in and shortcut that is relevant today absolutely and and that I guess that takes us nicely on RoR and kitty and uh furus and pumpas in the market do you think these furus and pumpas uh have a more positive are more negative impacts on the market overall and it's sucks because I think my my opinion on this is very personal and I don't maybe maybe it's not true for the entirety of the market I think they're great I think Pumpers again I don't know about the entirety of the market just for my perspective I think Pumpers bring opportunity you know I had a great May and that's because of you know

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a phenomenal trade between gme AMC and and and ffid um and if you know how to trade patterns instead of drinking the kud you can find opportunity within this huge volle cycle that would not have been there if R didn't start tweeting but that those opportunities wouldn't have been there right so for me it's really good because it brings in big volume brings in Big Range um maybe it's a horrible ticker I mean we could talk about Zach Morris pumps from back in the day and cdii was one of the biggest trades I had from the previous years because I know it's CDI is and I know he's pumping so I can be on the

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right side of this chest match um but if you are a noice coming into the market and the only reason you've come into the market is because you know of a very Kitty well you do stand to lose a lot of money if gme doesn't go where it needs to go and you putting your belief in again some internet face uh is probably not good and I think that there's more people that are that narrative than they are my narrative which is like okay bring the opportunity bring the volume bring the volatility I want to trade that whereas I think a lot of the newer people get stuck in that and then they become if

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it's a zero St game my win if their their their loss do you have a a favorite Poma or do you have a most hated Poma of foro I can name a lot of people but I think are Pumpers I think there's a lot of Pumpers out there some of them are my friends unfortunately friends unfortunately friends unfortunately and I think my favorite is Bing Kitty though I mean he really kind of stolen the show he's the most baly out of all of them I mean the GU you only have one sequel right you only have one sequel you only come back from making a $30 million trade and what if the guy do he

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takes a $200 million position like that is exactly what you need to do in order to be the legend that you off and that's why he's my favorite bumper because sure Zach Morris made some money but just think royan Kitty did it in an epic way and whether he wins on J or loses I just I respect it you know that that's a lot of money to put on the line publicly yeah I mean I think what the one thing that I would like to see I can't speak for Kino but it would be nice to see RoR and kitty or or zag on for don't don't don't know if it'll ever happen don't know

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treat from from brory P they g& four years ago and GM today uh we'll get to some uh we'll finish on some trading advice for some new for some new Traders so do you have a best first setup for a new trade at the the the land I think the first thing a Trader needs to learn is the life cycle of a stock that is hot okay like the volatility like what what is generally going to happen during just like Peaks and waves and then it's about finding that individual day that you understand the most maybe it's the start of it the first greed day where the volume comes in maybe it's the peak where

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the volume exhausts itself maybe it's you know more towards the backside where it's bouncing off the lows or you know make it a lower high to the bigger resistance or maybe it's when it falls off a cliff and no one's interested right there's generally these there's a framework is what I'm trying to illuminate on that a stock that is in play or is being hyped up or has a forward looking Catalyst and it has tons of volume and interest it's going to go through these waves of emotions and psychological patterns that present themselves in Candlestick charts so first you have to be able to identify like a stock is doing this because most people are

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watching the wrong stocks you need to get your eyes on the right stocks once you're watching the right stocks then it's like okay what can we do from here um again I think you have to understand the whole framework to understand which specific day that you want to attack for me personally in the freight workk I love the first R day I really do I think it's the most obvious to kind of uh point out and it's got a really high win rate um but there are other parts of that cycle that I think are great too you know first grade days are good for beginners uh breakouts can be really good uh if you

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know how to track them and do them like in a very disciplined way um but yeah I think first and foremost get your eyes on the right stop right stop right stop do you have any other kind of general advice for someone who's absolutely new to the game anything that you might say like clo trading what what do you say to the new guys when they come through the door to get them started anything about risk management risk management risk management or yeah so the first thing we start to tell people is to scan for big percent gors trading volume those are going to be the stocks that are in play those are the active

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stocks and then the next thing we kind of tell people is focus on dollar risk so I don't care if I'm risk being I I focus on dollar risk and consistent risk it's a marriage of the two so so let's say I have a setup um and I want to risk X doll on it well sometimes I'll be risking 30 cents sometimes I'll be risking a $150 and whether it's 30 cents or a $150 I still want to lose that X dollar amount I want that to be very consistent so it doesn't really matter what the net difference between the two different plays are I want to be sized in consistently with respect to Dollar

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risk and then you're going to start to understand once you start to do that different plays that offer different risk reward ratios some may be better built than others some intraday may be better built than others and you start to be able to qualify okay this one's so wide that if I have my consistent risk at the end of the day it's not going to be one to one whereas this one might be somewhere in that sweet spot where if I'm getting in I'll lose one R but if I win I'll make three R and now I have a one to three risk reward ratio um so I think that's most important is learning how

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to be consistent about your your position sizing yeah know that makes sense and I think I think you kind of covered a little bit of risk management there could you talk talk a little bit like a lot of people are wanting to get into stats and Data Tracking because a a lot of good Traders a lot of professional Traders track stats and talk about a little bit on Twitter so how does someone start with that I think you start with a very general idea right uh for Gap gapers is like the easiest one for me to talk about right the first thing that I'm looking for is like what what what percent Gap do I

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want to see do I want to see 50% gappers do I want to see 100% gappers do I want to see 200% gappers like what what field do I want to be playing in and then once I'm in that field I'm doing other very rudimental uh um statistical work like what is the average open to higher debt how much do I expect these to spine if I put my stop loss somewhere stupidly wide is it going to touch me or is at the end of the day I'm going to have a winning result and that's kind of how I play with stats it's just like what what is once I have the foundation of the

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idea what can I expect are likely intraday movements and then how can I position myself as best as I can within that General understanding of of what to expect does that answer the question no no makes absolute full sense I think it's a lot of golden nuggets it's going to be very useful to people on the on the call I think that pretty much wraps it up Hy unless you've got any final thoughts uh or anything you want to say about Clover trading just just to wrap is no I mean look been an honor and pleasure talking to you Stephen it's good to see you uh you guys know where to find me Clover trading.

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or Mike udie on my on my Twitter or Instagram um that's where we teach about stocks make watch list do webinars and if you guys want to learn about small cat trading that's where you can find us but other than that um it's just been good talking to you well guys just wait one second I just do want to remind you all the center point Edge offering is available to everyone we've got the link just down below in the the description check it out and thanks for watching

S11 | Ep. 3 Of Transparent Traders - Kyle's $5M Dollar Strategy: First Red Day Secrets | Complete normalized text

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Ep. 3 Of Transparent Traders - Kyle's $5M Dollar Strategy: First Red Day Secrets

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📅 Uploaded: 2024-07-19

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⏱️ Duration: 0:34:17

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👁️ Views: 4,937 (Rank #1 of 1)

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💬 Comments: 6

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📼 Playlist Progress: 1:08:34 of 0:34:17 (200.0%)

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👉 About Clover Trading: https://www.clovertrading.io/pages/home

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👉 Check Kyle's trading performance on kinfo: https://kinfo.com/portfolio/19232/performance

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👉 Unlock $7,500+ Industry-Leading Trading Tools FREE : https://centerpointsecurities.com/kinfo/

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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In this episode we sit down with Kyle Williams, a trading mentor for Clover Trading and a top trader that occupies the number 3 spot on kinfo’s all-time leaderboard after generating an incredible $5+ million in verified trading profits.

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Kyle addresses the single core pattern that generated most of his profits, learnings from his big loss on $FFIE and the ethical pros and cons to industry furus and pumpers.

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📈 Learn More About:

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- The power of shorting first red day setups.

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- Kyle's journey to hovering around the $5M mark.

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- The core patterns he leveraged to achieve massive success.

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- The importance of tracking metrics and adapting to patterns.

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🔍 Unlock Kyle's Secrets:

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- Why tracking your setups religiously can skyrocket your earnings.

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- The significance of understanding market nuances and indicators.

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- How embracing small losses can lead to long-term gains.

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- The balance between offense and defense in trading.

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#TopTips #MarketTrends #ProTrader #Transparency #StockAnalysis

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#StockTrading #SuccessfulTrading #FirstRedDay #RedDaySetup #StockTradingGuide

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CHAPTERS:

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00:00 - Intro

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1:18 - Kyle's $5 Million Patterns

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5:32 - Evolution of Kyle's Trading Strategy

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7:34 - Kyle's FFIE Trade Mistake

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11:12 - Risk Management in Trading

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17:46 - Managing Trading Profits

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18:07 - Free Trading Education

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21:21 - Joining Kinfo

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22:20 - Red Flags for New Traders

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24:25 - Impact of Furus on Trading Industry

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25:50 - Kyle's Favorite Furu

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26:34 - Best First Setup for New Traders

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29:04 - Common Mistakes by New Traders

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31:52 - Alternative Career Paths for Kyle

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33:56 - Outro

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🔗 Follow kinfo: https://x.com/Kinfo

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🔗 Follow Kyle: https://x.com/traderkylec

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🔗 Follow CenterPoint: https://x.com/CenterPointSec

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Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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today we welcome P I had made about two of the 5 million from just shorting what people call like the first red day setups who sits in fourth place on Kino's alltime Kino's alltime Kino's alltime leaderboard and that on at its peak I was down about half a million you have to trade small size with and almost Tinker with almost everything like you can't have the light without the dark you know you can't have the the real people who are really trying to teach without the ones who are trying to scam you and like welcome back everybody today we welcome Kyle we're gonna discuss his trading strategies the importance of Industry transparency and uh a

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few of his top tips for new Traders but first I just want to remind everyone you can get in for pro and pro plus free for the first month all you have to do is log in click upgrade and you'll start accessing the advanced reports and analy analytics by your trades but uh first kale how are you how's life good been a while good what's going on thanks for having me on this is uh is a I like I like uh I like the the concept here on the podcast of all the people are on KFI that's cool I like it so happy to be here yeah I dude I mean you're you're in an

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elite club not not only of top Traders but you're an elite club top traders that are willing to be transparent and show every trade so that's that's props to you as well but uh abely thanks dude you're hovering around the 5 million Mark which is absolutely crazy because I and we're just talking about before I was with you when you came when we when we're learning together we started at a similar time can I just ask you what are the core patterns that you've leveraged to reach this to reach this Milestone um so about so the one of the things that I always like liked to track but never really did was like how much

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am I making per setup I would do like sectors like listed or of DC or long or short but I wasn't as detailed in like specifically this pattern how much is it making me um but about two to three years ago I finally sat down and went through it all um and I just update every like quarter every couple months and by the time of last year I had made about two of the 5 million um from just shorting what people call like the first red day setup so a ticker running two three four five green days in a row you know has never gone red or closed red and is up one two 300%

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you know in that runup that first red day or kind of catching that first sign of weakness uh has been predominantly I mean guess what what 40% of of my career um and then then the no one even comes close I don't think I even have another setup that is even over a million yet um that one by far is is over is over two on its own so um that is definitely the biggest the second biggest is got to be me shorting pumps but it's not the like the sketchy China liquidation pumps that are really popular it was the old school like OTC pump and dumps um the the um the wol of Wall

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Streets if you would call them like the old like the ones before people even knew could see charts and they still exist they're at such a smaller scale now cuz the OTC market just like really cracked down on them but I I made a lot of good money early on uh shorting those as well so those two probably add up to about half my career right there um so yeah it's crazy cuz if you have the Mantra is where people are saying ah just keep it simple just keep it stupid simple and I mean when I think you've made couple of million from short shorten the first red day just tracking the metrics of what's

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it open What's it close how much percent is it up initially is it basically just tracking those metrics and and and adapting with the pattern or it so that's the one area where I I I lack I never have really tracked the um statistics behind the actual setup like what's the average run that it has what's the average red dat it has it's it's been so ingrained in terms of of like an art for me where it's you know if I if I if it's up anywhere between 1 to 200% I'm expecting a 10 to 20% Rend day if it's up you know maybe 3 to 500% I'm thinking maybe it can give us a

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30% red day kind of IDE like kind of a scale um for me it's it's just a lot of indicators of to find that first red day you know move is you know is it the first time it's going red right or is it the first time it hasn't morning spiked if it's gapped up every single day but on day five or day four it's gapping down well I have to assume like this is the first Trend sh shift that's going to give me the best solids of AED day happening so it's it's I'm sure there is a very technical statistical approach to it I have just not personally done it and it just been

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a group of I would say maybe 10 to 15 indicators of like does it have this does it have that almost like a checklist right it's gapping up gapping down you know what kind of what's the volume looking like um you know is it may it does it have a morning Spike this morning and the last three times it didn't or vice versa um things like that and so every every Runner has its own characteristics and trying to find the the way it moves and when it stops doing those characteristics is like the shift that it'll have from going all green to then red so so it's almost inition based on lots and lots of

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patent recognition is it like last I did to great I mean yeah I mean I I don't even want to I mean let's say let's say I made 2 million shorting first red days I I don't even want to think about the the first red days that I missed the first red days that I watched to learn the first red days that I watched that I wasn't even around trading but I watch I I watched videos and and and episodes from people who traded first red days in 5 10 years ago before I even started trading um so yeah just just probably thousands of sharts over and over and over again for sure is is

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definitely contributed to that absolutely that's interesting and what you say that your trading strategy has changed much from when you started trading compared to when you're trading now what's changed um yeah when I started it was definitely it was definitely simpler you know when I first started and and made my first few hundred grand it was really just four to five setups um now you know eight years in it's it's I have a probably a handful of 10 to 12 that I can make money on um I wouldn't necessarily say that's a good thing you know and sometimes sometimes in some ways I get a little bit too um over Diversified where I you know

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I might try to focus on one setup but the reality is I should have honed in on maybe the tried and true setup over here on my other screen right um so getting two to spread thin can be a problem at times when the Market's hot um but the setups like the first red day is is typically the same that it was when I first started it really is um there could be some nuances here and there like sometimes the more overextended Gap Downs than than not like I think in this market there's very few of them in my opinion whereas back then there was a lot of them um there's there's a few ways

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they've adapted where instead of instead of having red days they're sometimes having like red candles where like if they Gap up too much and they've Gap so big that the odds of them selling off into like the red green level and then going even lower than that is sometimes slim to none sometimes so sometimes they'll Gap up huge and then sell off all the way to red green and a lot of people traders who are used to it the first red they think like oh it's going to go red like is the time to short it but it actually ends up being the bottom for the day and then the next day it's actually r

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on the day so there's some modifications but I think the overall principles of of of finding those indicators of whether like I said just what I bring for no morning Spike versus morning Spike Gap up versus gap down you put enough of those together I you know for me the first R day has been fairly s similar if not more similar than not um and so that that's really and in terms of that I get to answer your question I haven't hasn't changed that much um you know not as much as people would think yeah now one of the things that immediately come to M because my biggest problem ever is being too early on

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every single short possible think main problem is I'm almost early and it's a commentary of loads of Traders like that's why 95% of Traders lose because they're try and find the top and I'm just wondering because I saw that loss that you took on ffi on May 16th was that a case of being early or was that something else that was the the case of every rule you could possibly have be broken um there was there's a few things um so one so to answer your first point yes it I was ungodly early uh secondly I was just insanely convicted right like I I can have a high level of conviction when plays I think

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demanded or when there's enough indicators for me to think that hey this is really high odds of working um but timing is everything and my timing was so like it it could have been Polar Opposites of your timing was way off and you had the most conviction so it was like it was complete po opposites and of course when the timing's off it doesn't matter how convicted you are because the fact that it's like at 50 cents now it's literally where I thought it was going to go it's just the timing I was two to three weeks early um and so because of that I you know well that that was the one factor two

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I was already frustrated during the week cuz I had not made as much as I would have liked previously on gme am see I still made good money you know it's it's nothing to complain or or be uh spoiled about but it just in terms of like a a level or like a a a performance tracking idea I was like you know oh I could have done better like I I was getting too hard on myself as it was and so I thought ffi was going to be that that ticker that was going to like you know recharge my week of like yeah this is the this is the ticker that's going to make up

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for the Mis profits right or whatever whatever do kind of stories you tell yourself right um and then on top of that you know I've always people who watch my any one of my videos I've always preached or talked about having some kind of last B Resort whether it's a Max stop whether it's the broker doing it for you or you doing it for yourself and for me I thought I was good enough to do it for myself and the reason why that was is because the moment I implemented that for myself I had come across that that proponent a handful of times maybe half a dozen times where it was like hey you're hitting

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your back stop like it's time to get out and I I respected it I I did my my own self my own finger my own button I said I'm done right and I did that for almost going I think almost two years a year and a half and so I thought to myself like you know I was better than that why do I need that I've I've proven even having the level itself one gets me very not at all close to it and even when I do get close to it I I I respect it um which goes back to the timing and the conviction where it's like I had I had so mistimed it

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but then such a the highest level of conviction or stubbornness at that point that you could have that like that's the moment where I needed I needed a broker back stop I needed someone to step on my shoulder and say hey I'm going to get you out cuz you can't do yourself um so that was a huge learning for me and obviously in hindsight it's easy to say or it's like of course you should have had that and yeah that's my learn that's that's what that's the Learning lesson that it cost me but um but yeah for a long time I thought I didn't need it because I was disciplined enough but it all it

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takes is one you know concoction of of a scenario or context that that causes you to not do that uh and that that was it for me so it end being a way worse loss than it should have had I had something in place like that or Beyond just myself right no but I mean full full credit to the transpar on kall on the YouTube channel which we'll get to like there's it's a very very very rare VI very very very rare VI who will who'll document the losses as well as the wins all publicly but um I just wanted to talk a little bit about your risk management uh before we'll get into a

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little a few questions on transparency and furu some more fun fun questions but um I looked at your profit curve and you've never never had a devast nothing devastating there's no like you see people's Pro Main's a perfect example see people's KES that go like this and then they go like that and then the recover recover recover then they go like that I've never seen that in your profit C so like what is your secret to to risk to risk to risk management I mean the the FF certainly gives that for that big probably the biggest in my career FF I I always say ffi is the loss that I I probably should have taken

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a long time ago but for whatever reason of of skill luck circumstance I have avoided quite a few of big losses um one in par so again I lost you know nearly 400 Grand on F of um I lag the ticker IL a I remember and this was before I implemented a you know a personal Knack stop this was like I just we'll just see how it goes for most tickers that I get stubborn with um and that on at its peak I was down about half a million um and that one I got away with like just just straight up I have I have no excuses I I I I gambled and I and

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I dodged a bullet right it's it's still and to this day it's still embarrassing but it's because it could have been way different but it is what it is right um so that could have been that could have been one that didn't that did happen didn't um I'm wondering I know Kimo has the trades there but I did take a big loss on HKD um and that at least looks like somewhat of a blip but I also recovered fairly quickly from that one so maybe when you look at the big picture of learning curve it doesn't show it um so I've had I've had my fair share of of of punches in the face so

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to speak um but in terms of the long-term trend trend trend uh you know I think I think it's a it's a mix of there's there's defense and there's offense right and you could have and you kind of need both right you could have a really good offense and a lot of Traders do have really good offense to where you can take huge huge losses and then never even see the the the real damage of them because you just immediately made it right back a perfect example of this is is in 2021 um I took my first I guess new biggest loss of the time in February 2021 um I lost $90,000 trying to dip

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by um what was the scker mmnff right um one of the weed plays in the weed sector and it was one of those ones one of those rare you know in scenarios where like I just I just was so convicted that it was going to mounce and it didn't and So eventually I cut it lost like 90 grand however I only lost 50 CR 50k on the day so I was already up 40K elsewhere and then by the end of that week I was up like aund something Grand I did six figure a week after having a $90,000 loss so when you you know so when you have so much opportunity or such good offense

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because there are so many opportunities in that market you look at you know even longer than a day and it looks like it didn't even take that loss right you had a six-figure week you don't even you don't even see a nearly a sixf figureure loss in that week um vice versa if you have if you don't have a strong of an offense maybe that's for the case for most Prof unprofitable Traders trying to find an offense trying to find something that makes them profitable you have to have a good defense and that's why I think it's really good that Traders lose first before they win because you have to cult like if you want

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to survive long term and I get say this for myself even now because again I've gotten lucky and and F is a is a test or Testament to be like hey you still need to work on your defense um is is putting in risk management and that that's a that is a that is a level of every trade you go into you have a trade plan of like if it hits this price I stop out um it has a a number valued behind it like if I stop out how much am I willing to lose um a stop out value Beyond just one loss but like five losses what does five losses in a row

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mean for you is that going to be you know 5% of your account 10% of your account half your account you need to know those things CU because if you lose half your account on five trades losses in a row like you're going to be losing your account a lot of a lot of times right unless you're winning 99% of the time which is I think is almost impossible as a Trader like it's going to happen so you it's like it's not just one loss it's the string of losses it's the it's the one bad you know it's again it's a string of a thousand their deaths by thousand thousand Cuts it's the Black Swan

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of like if you don't cut like what are you going to do which in this case is having a either the discipline to do it which I thought I did but I didn't um and then B having a broker or someone else do it for you right um I think those those those things really gives you a good foundation for having a good defense and then part of a good defense is knowing when to even have an offense right some of the best defense is just not trading right um and that's maybe that's go back going back to your question about um how has my trade changed I think that's the one thing I wish

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I got a little bit better back to which was there was plenty of days where like I just if I didn't feel like trading I just didn't just didn't or if anything wasn't setting up I just didn't take a trade I was okay with that I've I've I've had a feeling the last maybe year or so that like I haven't had that feeling in a long time I've always felt like every day I'm trading and there there's definitely still days I take off or don't trade at all because there's nothing to set up but there's definitely a bit of more um and I don't know why an itch to and maybe this is because it's

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I'm over like I said I'm over Diversified I have too many setups where I could always find something to trade versus being okay with just not trading at all so there's that aspect too of just like someone the best defense is not even trading it's just be break even you know so yeah just I just wonder cuz it's like once you've made so much money do you have a feel like now look I've made enough money I'm set I'm okay or is there a greed component where like once I've made so much I have to keep on making more and get to the next level and the next level there there's a little bit of

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both um there is an aspect of like you know what I could stop and just earn interest and live off that the other part of me isn't necessarily greed of more profits is the greed of of maybe knowing what kind of Lifestyle I want longterm and so for me at 28 years old knowing you know I want to still buy a nice home I still want to have kids I want those kids to be set up you know not for life like they're not going to be trust friend babies but like I want them to make sure they do well and and be supported um and like at 28 you know I I don't really

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you know people think that you know you have enough but like with inflation I mean by the time I'm 50 my 5 million saved or guess after taxes 3 million whatever it is saved plus it plus earning interest like isn't going to isn't going to cut it you know um so maybe that's my my curse of being a little too forward thinking but I just think about that like at 30 years my the money I known is not going to mean anything I have to I got to do a little more you know um so that's that's where my head's at no and I 100% agree the the first time I ever made money the

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first time I the first thing I did is buy an apartment and thank God because I started losing as soon as I as soon as I bought that apartment I started losing again and the one Saving Grace that I've got is like I'm a complete Maniac in trading this so thank God when I had a good run I put it into something solid and I've got that forever do you know what I mean so thank God but uh K I just want to jump into a few questions about transparency we're going to have a quick uh ad break from today's sponsor and then we're going to jump back if you're an active Trader then Centerpoint

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is the broker designed for serious Traders like you Centerpoint offers Advanced trading tools flexible rooting options and an extensive short inventory to give you the edge you need with Next Level custom service when you join Centerpoint you gain access to Centerpoint Edge an exclusive program tail ad exclusively for Centerpoint clients with Centerpoint Edge you get free access to over $7,500 worth of industry-leading trading tools that you won't find at another broker this includes amazing resources like kall benzinga pro trade ideas dilution tracker and more click the link in the descript description to elevate your trading experience with center point where active Traders get more okay we're back uh kale one of my favorite things about

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you H and probably most people's favorite thing about you is the amount of free education you give on the internet I've been seeing YouTube videos from I think 2019 so what drives you to keep giving all of this free material free education away all this time um a big motivator for me of making those like monthly recap videos was Tim grani he was one of the first people I watched become like in my learning curve watch him review his month publicly like in a video and I was like wow that's really sick um but I never really got around doing it until 2019 I think yeah some some in the middle of 2019 was my

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first video actually opening up about like making a video publicly um that's a good question why do I still do it well one I mean I I I enjoy being a a uh a contributor to the community right a community is not a community isn't Community without people who who are in it and willing to talk and Converse and share and and and communicate you know um so there that's one aspect two I I I enjoy I do have a passion for teaching and and helping people learn right um I think trading is obviously a primary passion above that but at the same time it's like going to conferences seeing people learn seeing people come

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up to me and tell me that like what I taught them helped them make money like that's you know that's incredible it's awesome that that I can pass down information that I that has been passed down for me and just keep that cycle going um in terms of education and then thirdly this a selfish reason is like it helps me you know making videos of me talking about and reflecting on my trades like I will I will actually go back and watch my own Recaps I will you know um in in many ways it's therapeutic helps me get over losses or learn lessons more effectively it also then be able to watch back and relearn

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those lessons again um so there's really there's really no the only negative I can think about why I would want to stop which I have thought about it's just it just gets tiring sometimes you know putting together an hourong videos my my my my throat is sore every time I make those videos so in terms of energy spent like yeah but that's what life is life is spending my energy in calories and whatnot so it's it's positives are overwhelmingly more than negatives so n makes makes F sense and and uh why did you join kin for and um is there an advantage by you joining kin for for the Clover trading guys to join k

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for what's what's the motive um I do think if at least in my particular case like if if you want to be an educator or um someone who's willing to stand and say Hey I want to teach other people it certainly doesn't hurt to be like hey here's my verified results you know um whether it is through some people like tax returns some people like broker statements whatever it is you know for me I like kfo keeps it easy um they upload all my trades for me I don't have to mainly do it myself kind of thing um so that's at least for me and then secondly I do track my tra personally but I

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always love getting a you should call like a second opinion but I love making sure my numbers are correct and having a third party like Kino pull that for and be like hey here's your numbers and I could double check like y my numbers are the same you know that's Mak sure I'm doing it right um so yeah those those are definitely some of the main reasons in terms of for rules for rules yeah in terms of second F and gur in terms of f rules uh is there any red flags you would point at out to stop new tras falling into the Trap of following auru um yeah I think if if someone's if

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someone's shouting at the top of their lungs about how much they win you know or not even how much they win but like how often they win like I have got a I've got a 95% R rate I do not lose you know that would be a huge red flag for me just cuz in the eight years I've been trading in the community I I don't know a Trader who who who's proven I mean again they they can exist but just knowing how hard trading is in general like the I even the thought of having a win rate that high makes me think then why aren't you like a billionaire if you can win that

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often that much and you're that good like what are we what are we missing here you know um so that for me is a little bit gray are of like that seems kind of off um I I think the market has in general has faded away from the flashiness right I think maybe 5 to 10 years ago flashing Lambos was like oh cool now it's kind of flipped of like that's sketchy um but again if if if they have verified results somewhere then you can think it look sketchy all you want but if they have proof then it's like oh well then I guess I'm wrong and they're right or they they you know um

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stuff like that you know uh I'm sure there's other ways I I think there's other ways of like if if someone's more even more in detailed like if if there's someone who does a lot of videos but never shows videos of them actually entering or exit or trading whether it be live Trad or like a recording of a live trade you could use that as a reason or think like hey you know I want to see them actually take a live trade in front of me CU I think there's a lot of I think there's a lot of social media accounts that will always show live trading but you never actually see them either a

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enter or or B exit it's always one or the other that's never both you know that could always relieve red flags of like where's the where's the full trade um but yeah those are just some things that immediately popped in my head of of S me some red flags to look out for that's interesting I I wanted to ask you do you think do you think there's benefits to having furus in the industry despite it being ethically not moral um that's like a philosophical question um because my first yeah my immediate answer is almost a a yes not because I not because it's a good thing at all because I agree it's bad but it's

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almost like a you can't have like you can't have the light without the dark you know you can't have the the real people who are really trying to teach without the ones who are trying to scam you and like maybe maybe some people who have gotten scammed have actually then found the real people because they've gotten scammed I mean but again justes do do the do the furus or the scammers have to live for in order to people find like that's a no either so I don't I don't know I would say Obviously more time more times not they do bad than good so in general they don't need to be there but there is

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a there's a yin and yang to it almost that I um feels weird to say but it's it's definitely there you know so who is are good for the volume and the volatility I mean I'm sure You' made a lot of money profiting off forers and it's not a bad thing it's not a bad yeah if they bring more people into the market just overall awareness of trading and what it can do for people you do it right like yeah it's it's almost like marketing for the market it's it's keeping people realize that it's it's a thing it's here so totally do you have a favorite furu or do you have a least favorite furu

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or do you have or do you just want to not answer that question no I I'll answer but my answer is I I don't really fall I don't really look into other people like I'm never really one to trade off of someone else's like if I know like hey a chat room just bought this I'm not really going to then short it or buy it I might know it exists but there's never really been a a setup or a a frequency of mine that I am consistently trading off of someone else's trades so you know I'll I'll try to keep to myself the best you know and when it comes to those kind of trades

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or those ideas so no no that that makes a lot of sense I understand what you're saying there and and then in terms of a final few questions to close up just on uh new questions for new Traders so for example you're in Clover trading someone says what's the best first setup I should learn do you have an answer do you have a recommended go-to first setup um I mean I'm biased because it's the most profit which is first red day but learning the first red day may not be the best for a beginner especially on the short side a lot of people will steer away from the short side as a beginner because there's

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a little bit more more rules bit more like a little bit more nuances to it than just longing um I would say again I it's tough because I I did I guess the again back to your question about how has things change I was definitely a primarily OTC based Trader earlier on and now OCS are just not what they once were unfortunately I wish they were I wish they still popped up but they just don't you know so what once was me trading otc's 90% of the time and only 10% of the time trading like listed or NASDAQ now it's probably taking a full and 80 if not even further where I'm probably only trading

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otc's maybe 5% of the time and 95% are listed so my natural response be oh I learn like an OTC breakout CU those were those were beautiful back in the day the problem is they just so rarely happen I think the last one I last OTC breakout I traded was like Fanny May and the last breakout before that was was years ago so that's really tough I mean I guess breakouts on the listed side could be good but again they're they're much more trickier um I find them be less profitable very personally um you know and that's the tough part as a begin that's the thing I would say to the beginner is is you

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have to trade small size with and almost tinger with almost everything you almost have to just take a broad net and just see what sticks and see what you gravitate towards and then narrow down from there and it sucks and that's why I always say to newer Traders don't trade too big too early because you you you can't afford to have a wide net and try to test and Tinker everything and then lose your entire account it's like you almost need to like if you have a $5,000 account you got to lose like $5 a trade just like see what sticks and then finally you might find a winner that makes you 25 bucks like

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five ex you're willing to risk okay what is that setup like let me dive into the like let H have have um have the market or whatever Edge you're going to find pull you in don't try to force it if that makes sense but again you have to be in the Market and Test things to kind of try to catch that that fish so to speak to catch that pull um if that makes sense so no no it makes full sense I guess you can take inspiration as well you can watch what you're doing you can watch what someone else is doing I think ah that that looks that looks quite nice and then you

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see it happen in real life and then you make money and then I suppose you can find it that way as well um the last question I halfway today kale uh it's been a pleasure to you you always give the best most articulate answers the best sound B so really really appreciate your time but uh last question is if um what is in your experience of mentoring people what's the biggest most common mistake that all of these Traders are making and what's your advice for them to overcome it the biggest the biggest the biggest mistake um probably a a few come in my head but the the first one is thinking that losses are bad

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um that small losses are bad big losses are bad right that that that takes you out of the game but uh the sooner you could Embrace a loss I think the better but again you have to embrace it in the right way which is having having control over your losses right you're just taking uncontrollable losses left and right all of a sudden in a two weeks you're down your half your account you know that creates the biggest mistake right um if if you can stay Nimble and and just survive your learning curve off losing very very little you're going to be that much better off and set for when you do get out of the

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learning curve and then you can recover all those losses very quickly and go on from there right when I when I think back to my my career it's like I started with $6,000 E Trade account account account lost about 4,400 or 4,300 at at its bottom and recovered all that within six months had I lost more let's say I blew my whole entire account and then I refunded and and lost a whole another account I'm down like 12 Grand I mean I I at that point not even had money to refund right and that totally could have been possible if I wasn't willing to lose very small and accept very small losses very earlier on

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right if I my average loss turned into two three 400 bucks every single time you know I wouldn't be here um so I think that's and then that comes back to what we were talking about earlier about defense like really formulate a good defense very early on because you know you need an offense to be profitable and be to be exceptionally profitable but if you even want to stay in the game you have to have a defense you know even if it if it means at some level having a defense be able to take small losses and just keep your account alive in the beginning um I think that's that that's that's whether you're going

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to Sur you know survive your first year or not you know so I think the the whole message of the whole podcast that I've taken away from you is this offense defense because I think it opens the door to more traders to think like look if you don't have the best defense and you don't have the absolute best discipline you can really really work hard on your offense and you might you might just be okay with extremely good offense but if you're not the most creative Problem Solver patent recognition person he could just have an amazing defense and just think ah I don't make a lot but I definitely don't lose a lot so right

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I think that that's one of the key takeaways for me definitely um last question just a random one what do you think you would be doing if you weren't a Trader because it's a bit of a random thing that you turn into a multi-millionaire Trader right just stumble yeah just um when so uh that's a good question when I before I switched my before I found trading let's say there's there's two things I think would have been doing um one is let's let's say I found trading but I W for whatever reason I just couldn't I couldn't make it work I I couldn't find success I I tried it it just didn't happen for me

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um one of the things I thought about being was maybe not a financial adviser but like someone who maybe was on the back end of financial advising so like if we had if you know if there was a high net worth client wanted you know his firm to buy him you know a $10 million some stock I thought it would be cool to be the trader who like makes those purchases for them B made like a broker maybe like a highend broker that like makes those purchases for a client I thought that would be cool because at least I'm still trading but not for myself some degree um I thought about financial advising but I

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realized I really only like managing my finances not mostly other people's um and then the thing let's say I didn't find trading at all and and I didn't find the the the whole just speculation of the markets at all um I actually had a a mechanical engineering degree for an emphasis in bioengineering so like I was thinking that I was going to make prosthetic legs you know or like engineer like a prosthetic arm or knee for that that was kind of the vision I never even got close to actually doing that and I probably would have maybe not as liked as much as I thought I would at the time because I I quickly realized

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I didn't really like engineering this is when I first started college um but those were those were some ideas in my head before I actually found profitable trading was was those those three or those two or three ideas so maybe I'd be doing one of those maybe if you if you lost your knee I might have been replacing it replacing it replacing it so okay kle uh thank you so much for your time love speaking to you H I always appreciate what you give back to the community honestly and I've watched a ton ton ton of those uh YouTube videos um so thanks for coming on lastly I just want to quickly today's sponsor and

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we'll close out with this message from then well guys just wait one second I just do want to remind you all the centa point Edge offering is available to everyone we've got the link just down below in the description check it out and thanks for watching

S12 | Ep. 4 Of Transparent Traders- Dom's Secret to $1.7M in Long Only Profits! | Complete normalized text

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Ep. 4 Of Transparent Traders- Dom's Secret to $1.7M in Long Only Profits!

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📅 Uploaded: 2024-07-26

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⏱️ Duration: 0:42:12

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👁️ Views: 2,369 (Rank #1 of 1)

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💬 Comments: 7

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📼 Playlist Progress: 1:24:24 of 0:42:12 (200.0%)

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👉 About Clover Trading: https://www.clovertrading.io/pages/home

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👉 Check Dom's trading performance on kinfo: https://kinfo.com/portfolio/23730/performance

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👉 Unlock $7,500+ Industry-Leading Trading Tools FREE : https://centerpointsecurities.com/kinfo/

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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In this episode, we sit down with Dom, a top trader who ranks #8 on kinfo’s all-time leaderboard with an impressive $1.7 million in verified trading profits.

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Dom is not only a successful trader but also a mentor at Clover Trading, where every mentor's credentials are verified on kinfo.

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Join us as Dom shares insights into his risk management process, reveals his most profitable setup, and offers invaluable advice for new traders looking to get started and succeed.

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🌟 What You'll Learn:

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- Learn how Dom achieved $1.7M in all-time leaderboard profits.

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- Tips on mastering one trading pattern and cutting out the noise.

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- The significance of transparency and using tools like Kinfo.

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- Dom's favorite multi-day breakout pattern and how to leverage it.

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- Essential risk management strategies for all traders.

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- The journey from unprofitable to consistently successful.

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🔑 Key Takeaways:

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- Each pattern has a nuance which you need to adapt to

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- You have to take trading seriously if you're going to advance

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- Data tracking is an integral part in developing a trading edge

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- How to grow as a trader and the importance of learning from past mistakes

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#trading #daytrading #trader #tradingtips #stocks #stockmarket #transparenttraders #tradingstrategy #tradingforbeginners #millionaire #millionairemindset #finance #money #moneymaking #financialfreedom #TopTips #MarketTrends #ProTrader #Transparency #StockAnalysis #StockTrading #SuccessfulTrading #MultiDayBreakoutPattern

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CHAPTERS:

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CHAPTERS:

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00:00 - Intro

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1:23 - Unique Traits of Successful Traders

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5:08 - Favorite Trading Patterns

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8:41 - Secrets to Risk Management

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12:22 - Preventing Excessive Losses

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15:03 - Self-Discipline in Trading

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16:58 - Expecting Losses in Trading

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19:15 - The Clov Trading Story

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20:53 - Sharing Profits on Kinfo

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24:11 - Impact of Pumpers and Dumpers

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28:33 - Biggest Trading Mistake

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32:03 - Managing Trading Emotions

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34:34 - Avoiding Bad Trading Decisions

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38:26 - Challenges for New Traders

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41:50 - Outro

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🔗 Follow kinfo: https://x.com/Kinfo

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🔗 Follow Dom: https://x.com/Dom_Mastro10

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🔗 Follow CenterPoint: https://x.com/CenterPointSec

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Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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today we welcome Dom you it really came down to you know sticking to one pattern who six 1.7 million in all time leaderboard profits 1.7 is not a not a happy with it yeah no it's not just studying the patterns it's studying yourself um I think so many people just don't take it serious take this serious I think it's hard to know who to trust anymore which is why stuff like kinfo is really important welcome back everybody today we welcome Dom who sit near 1.7 million in alltime leaderboard profits is that correct do that is correct there's should there actually is more but it's uh ER trade has a funky thing I know we talked

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to Carl about it just how long back they can track and so we'll just call it 1.7 but before it has said more than that 1.7 is not a not a happy with it yeah no uh we're going to jump into some questions with Tom to talk about him and his trading see what lessons you can learn from him a little bit on transparency if few questions I'm ke to know who your favorite furu might be and uh and also just some top tips for Traders but just before we get in I just want to let people know Tino pro and pro plus is now free for your first month H you get access to

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Advanced analytics reports all you need to do is log in and click upgrade uh but Dom for you first first question is you've made 1.7 million plus million plus million plus more what what are you doing or what do you have that the 95% the majority of other Traders don't have and that's why they they they lose yeah I think it's I think a big one you know is learning from mistakes learning from other people's mistakes but actually then making changes based off of those mistakes I think most people that get started myself included you know I was unprofitable for about 10 months you know we you do you wouldn't still be there if you

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weren't doing things positively if you didn't know the patterns if you weren't making some money um but really learning from the losses being open and transparent with yourself writing in a journal whatever it is keeping stats doing something like info where you know you can actually create an edge for yourself and for me you know it really came down to you know sticking to one pattern for probably a little over a year and cutting out so much of the other stuff that was losing me money at the end of the day trading is a business and if you continually do things that lose you more money than you're making you're never going to be profitable

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U most people do have some sort of strategy that is making them money and they tend to just have a lot of other stuff on top of it that they're doing that you know none of the profits really come toight because they're never really ahead um so for me I think you know it's just about learning from those mistakes making actual applicable changes to my trading based off of the numbers and the analytics and going okay this is what's costing me money let's cut it out for a month cut it out for three months and see how we do and then you know maybe it's bringing in a new pattern studying something different and see

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see how we do with that and then rolling with it I think too many people want to be a jack of all traits when in reality um I think it's trades not traits but uh you know I think it's better to be a master of one and just find something in the market that you can actually have an edge on and stick to it for a while to at least get yourself off the ground yeah I think the problem that a lot of people had main problem that I had is is it's so difficult to make money that when you finally find a patent or a way to make money you get kind of hooked

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on it and then when that pattern stops working people can't let goal I personally couldn't let goal and that that was where my downfall is but what you're seeing is you'll constantly tweak constantly adapt and constantly look for the new the new edges yeah kind of I mean the main patterns that I trade today are the ones I've been trading since the beginning um except the main difference for me you know and I can relate was 2019 I was primarily Trading otc's long bias for the first two or three years of my career and you I milked it as long as I possibly could while they were liquid while they were volatile and then in

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2019 they just shut off and there was just no liquidity there no eyes there there weren't any runners and I went through another stretch of you know 6 to n months where I didn't make any money and I was I had to figure out listed stocks and eventually morphed a lot of the patterns that I had in terms of breakouts for screen days for shred days from otc's IND the listed um but at the end of the day yeah if the pattern that you're trading is no longer there or it's changed you either have to make changes understand the different nuances the market is very cyclical so you know any changes you can make usually

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the the smaller the better the big changes usually take a lot longer for you to get back on track it's almost like trying to become profitable again for the first time um but stick with what you know and you know you know for me it was just translating those patterns from OTC into listed and there was a lot of differences and the nuances of the way that listed stocks trade like NASDAQ versus otc's and that was a big learning curve for me and it probably will be anytime you switch patterns but stick to where your strengths are it's very difficult to turn a weakness into a strength it's better for you to take something you're

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good at and kind of change it into something with a little more Nuance to that fits something else and then you can you know become a master of that now makes makes a lot of sense so if you had a favorite one pattern or the pattern that you feel like you've made the most money out of it what what's your go-to number one pattern uh probably a multi-day breakout and I started with otcs this was the only pattern I allowed myself to trade that eventually got me profitable because I cut out everything else but that one pattern which is essentially just all these stocks that we're watching that people are watching you know pre-market Gap

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is any big Runner that goes on a run for a couple days tops out like 100 200 300% Plus consolidates for a few days without breaking that one high that it's set and then looking for follow through momentum so most of the stocks that come on watch that people talk about in pre-market are on day ones uh they're on my list for a bit but most of the time those stocks just fail um so very few end up making it to that point but the ones that do that have a lot of volume um that are in the right sectors the right themes at the right times of the year um they work really well

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and that's where where a lot of my biggest trades have come from even you know I I went through a stretch in 2022 to 2023 where I was shorting a lot more and getting a little bit too aggressive with short selling even to this day uh you know theot I mean multi-day breakout is still my biggest uh profits even per trade is that kind of a a feel thing or is it a statistics data thing like where how did you find out the entries the exits where to get in when to get out which ones work uh I think it's my most field-based pattern um cuz a lot of it has to do with the

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type of volume that we're seeing is it the right theme is it working right now we went through stretches of 2022 and 2023 where they didn't work very well um they they worked really well in recent history here in 2024 um I have data and stats on the pattern itself but in terms of Entry risk levels is pretty predefined for me based off of the consolidation I'm watching these stocks after they've been really volatile so they've gone from like a dollar to five really craz squeeze shorts and then maybe they consolidate between five and four for two or 3 days um what's working really well right now is like one day breakout so they they

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go on a run they have one consolidation day and then they rip um and so the RIS level is pretty easy to me it's I kind of call it the death line that moment when I feel like front side's kind of O kind of over finally over and then you know I've kind of tweaked my system over the years so I could stop buying the actual resistance level because I don't like having my entry up there where I expect the volume to come in where there' be the most amount of volatility so I've really tried to you know that's more of the the biggest art of it to me is the the entry which is

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you know sometimes early and I don't mind sitting in stocks for a day or two but just got to be really careful with the fundamentals and which ones have overnight risk um and then looking to add into that position as it does break through the through the through the resistance okay I'm I'm going to come back and just one second I've got a quick uh message from a sponsor and then I'm going to ask you a few questions about risk management if you're an active Trader then Center Point is the broker designed for serious Traders like you Centerpoint offers Advanced trading tools flexible rooting options and an extensive short inventory to give you the edge

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you need with Next Level customer service when you join Center Point you gain access to Centerpoint Edge an exclusive program tail ad exclusively for Centerpoint clients with Centerpoint Edge you get free access to over over over $7,500 worth of industry-leading trading tools that you won't find at another program this includes amazing resources like kful benzinga pro trade ideas dilution tracker and more click the link in the description to elevate your trading experience with centero where active Traders get more okay so Dom I have heard watching a few other podcasts about you that you are you've been praised in the past for having uh strong risk management for being a risk first kind of guy do

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you have a sort of a secrets to your risk management strategy oh how how have you got this reputation um you gosh I wish it was as good as it used to be because I used to wear that on my sleeve be really proud of it I went through a stretch when I started shorting these Chinese bumps in 2022 when I didn't when that kind of all went out the window and I have taken time to kind of redefine it for myself again but I just I think it really is learning from others experiences I remember watching Tim grani in the beginning watching Ducks watching Roland um you know Kellogg learning from people big losses

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and it always looked so painful and so horrible and it sets you back months and months if not a year or more and watching people blow up and exit the game and it just seemed so you know like manageable like you were in more control than you think like I know there's the the one-off situations where gaps happen and offerings happen and slippage happens you know I've had a couple situations where there wasn't much more I could have done except think about maybe what I should have done beforehand and maybe not been in that position maybe not swung overnight but for the most part cutting a law should never be something you have to think

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about I think that's one of the first places you should ever start when it comes to trading I think you should be risking amount of money at the beginning that you're you know you feel comfortable losing I don't mean like an account wise but like $100 a trade $1 a trade $50 something that you have you feel no emotions when you take that loss because you know I want you to get to the point where you feel like you're okay losing it for the potential of the profit that's going to come with you know the studying the experience and what happens when the patterns work over over time um but for me it was just

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learning from people's experience and not wanting that for myself because it's just such a you know draw Downs of any sort whether it be a gigantic disastrous loss and you just don't cut a loss and it gets worse and you bag old or you get squeezed to the short on the short side um or you go through a stretch where you just have a bunch of bigger than expected losses and you go through draw Downs it just kills momentum it kills consistency it's really hard to come back from usually have to fix your mindset and your brain and so much more of it has to go into it than you know if it's just a

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one hour loss and you just take it every single time and it's never a disasterous situation and you're always a couple trades away from getting back on top um and that's something I've had to do a lot of over the past year and a half I sized down significantly since 2023 because I was just kind of all over the place I didn't trust myself and at the end of 2022 into 2023 because I started to take bigger losses I started to risk more in the hopes of making more money and scaling up in the game but the byproduct of that was situations in which I didn't want to risk I didn't want to lose 5

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grand in the moment so I let it go a little longer maybe I added to my position and then all of a sudden it turns into a 50k loss a 60k loss and all of a sudden now you're 20 30 trades away from getting back to where you were and that can really mess with your mind and so I just want to encourage people to really focus on risk management first so it becomes a habit of yours so it's not something you have to fix when the size gets bigger because as the money gets bigger you know the disaster situations become I lost a car I lost a down payment on a house they become

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a lot bigger than just in the beginning when I'm risking $50 a trade and I lost 500 and I can make that back at my job next week it becomes much more uh disastrous and risk management really is and you'll hear from no matter what people trade whether it's options stocks large caps small caps that's the place they want you to focus on because longevity in this game is the most important thing not about how much you can make on any single trade but how much of it you can keep but I mean what do you say to someone who I mean you could say it to me cuz I make the same mistake all

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the time uh it's like you can start trading with just risking 20 bucks 20 bucks and then you'll have some days where you win 60 bucks 70 bucks you think great um this strategy works and it's working right now and all I have to do is not let the one loss go out of control but then you're down 20 bucks and then you think that's okay I'm up a little bit on the month and then you go down 80 bucks and you think well I don't want to lose 80 bucks and then you go down 200 bucks you think we that's give three days what advice you give to someone who keeps risking risking risking

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and they' lost 10K at the end of it because because obviously everyone's thinking the same thing and it squeezes and everyone gets basically [ __ ] I think hard stops are a good so anything that you can do to take it out of your own control until it becomes normal for you I think hard stops are great I only usually use them during stretches either when I'm walking away from the computer which I try to do a lot more often now um either punishments for yourself uh for a stretch where I got to do a month of you know I got to be consistent for a month no loss bigger than if you're risking 20 bucks than

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50 bucks like give yourself a little wigger room for slippage or a bad Gap overnight or something um but at the end of the day you just really got to not one no one trade is worth it in terms of like a profit in terms of a loss at the end of the day none of us look at our careers and go that one trade is where I I made everything or that one you know but you heard a lot of people go that one trade is where I lost everything and no no one trade is worth it it doesn't matter how convicted you are it doesn't matter you know the size or the dollar

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loss at that time you know you're only down 20 bucks I'm only down 100 bucks whatever it is those are the situations that always get out of control and being able to realize and maybe a great spot for journaling of really realizing how you felt throughout the whole process of it was just a one hour loss now I'm down 100 now I'm down 500 now it's really out of control um because you don't want to feel that way again and no one likes the pain of going through that I know we get called degenerates all the time we're gamblers we're Traders and any you know um tendency that would get that brings that out of

S12-P0082 original line 67, characters 49051:50803
us we really want to quiet that down um as quickly as possible so it doesn't get out of hand and it doesn't become a habit because just as easily is having good risk management can become a habit letting it slide and going a little further is is a habit as well and that is something that eventually does blossom in terms of you know as you size up and as you grow you see it all the time these guys who make money for three months six months they're super solid and then one day they pop in and go oh I lost all those profits and you don't ever want that for yourself and sometimes it's just

S12-P0083 original line 67, characters 50804:52550
as easy as going you know Dominic step whatever I don't want that for myself I won't allow it and you just either hard stop or you just just force yourself to do it every single time cut the loss cuz no one trade is worth it yeah I I think what you said earlier it really resonated because for me I I would go on runs of three to three months four months six months seven months profitable and then and then I would just take a massive loss but the warning signs are always there where you kind of get away with one then you get away with another one a little bit more and then and then

S12-P0084 original line 67, characters 52551:54325
it get it but what you were seeing is like look if you don't follow your rules you should have a physical punishment some some kind of punishment that that say I don't know you you only drink water or you you you you only eat a certain amount of food until you save the money that you would have spent on takeaways that cost the loss or something like that but for me what I would do is take a take a big loss and think I feel sorry for myself so I drink a bottle of whiskey and like obviously but that's that's double byad Discipline Do you know what I mean once bad that's that's double bad

S12-P0085 original line 67, characters 54326:56157
and um and it comes down it say look you should do a punishment and if you don't and if you're not willing to do the punishment then you shouldn't be trading because you just don't have disciplined displ so don't bother until you've got the discipline which yeah and that's something that I think is just it's just a non-negotiable when it comes to trading and you any other form of business there something else I like to think about is what if I was working for someone else what if this was someone else's money what if it was if I was at a prop firm right that's why I tell one of my students all the time

S12-P0086 original line 67, characters 56158:57935
who's made Millions um but goes on these runs of just tilt and will'll lose so much money so fast I'm like what if I was your boss what if you know you were trading a bigger account and you know it was a prop firm or something like what would you be fired by now would this type of be Behavior get you fired and if it would then you need to be serious and harsh to yourself to say this isn't allowed and this is just a non-negotiable if we're going to trade we follow our rules and the one rule we should never be breaking is not cutting a loss not adding to a loss not overtrading

S12-P0087 original line 67, characters 57936:59621
something to the point where it becomes a 1020 30 to1 R loss because those are the killers you can play this game a long time um Break Even or small gains added up slowly until you hit your stride but what what it's really difficult to do is dig yourself out of a hole that you just keep digging deeper for yourself for yourself for yourself yeah and and when I I looked at your winning percentage on Kim for one I think it's 40% so you're actually taking more losses than you are gains imagine that for a job H lost again lost yeah I know it's I tell people uh every time I take a trade I

S12-P0088 original line 67, characters 59622:61382
expect to lose on it statistically and it's because I I focus a lot you know I I did a couple video license earlier this year just like how to be a good loser how to be really good at accept every loss you have be okay with it because you know like you said like the numbers speak for themselves over my career that it works out for me so I should never fear anyone lost because it doesn't mean anything in the long run what means anything is when you pull up by 10 worst trades of all time and you see negative 60k negative 80k negative those are the killers right and so I'm not afraid to

S12-P0089 original line 67, characters 61383:63097
be wrong I'm not afraid to lose you know because I focus so much on risk management I have to focus on risk reward because my win percentage is so low and that's where I really do think I shine over the long run is when I'm right I'm really right and when I'm wrong I'm wrong with one R yeah but it it I suppose it's also it's not trading for fun because it can't be fun to take losses all the time and it can't be fun to wait patiently for a trading no it popped up and I lost again but but then it's two million probably a mid two million at the end of the day

S12-P0090 original line 67, characters 63098:64766
so yeah no yeah and it's you have to know what type of Traer you are you know I know scalpers and quick day Traders whose win percentages are 60 or 70% right and but my brain doesn't think the way theirs thinks in terms of position I'm like oh I could never sell there I want more I want to see it out play it out till tomorrow whatever it is so you have to really know what style fits you are you someone that's going to Old bigger picture like a day two days 3 days are you in and out with 5 minutes what what makes you feel good like you just said it some others with

S12-P0091 original line 67, characters 64767:66417
a 40% win percentage would probably eat them away right I got most of my days most months are red small usually because I'm you know really pride myself on being really right on the one to two plays every month that are there for me that fit my pattern to a t i size in properly my risk award I can make 10 20 30 to one on it and all of a sudden you know five losers are gone losers are G 20 losers gone or I'm way ahead and that's why for me you know it's a math equation I can't afford to lose two R three r four r on any one given play or multiple

S12-P0092 original line 67, characters 66418:68153
plays or lose 20 to one R because the math equation doesn't work anymore because I don't win don't win don't win enough now makes makes sense and and so what how did the whole thing with clova start how did you guys all get together you were all friends in the past or yeah we we got met through uh through the challenge back in the day we've all started think 2016 or 17 I think huy might have started first in 2015 or 16 um but we had Kellogg in there as well and um I think we started going to conferences together and we just kind of knew at that point we were all kind of up

S12-P0093 original line 67, characters 68154:69923
somewhere between like 20K and 200k and you know back then you're all kind of competing like it is on Kimo where you see each other's profits and you're neck and neck and you want to do better than someone else and then you also you want to learn from them and pick up little tidbits of information you know how can I short better Kyle and H wants to know for me how can I long better how can I buy breakouts whatever it is and you we eventually you know I lived with Jack Kellogg in 2018 and 2019 so we became really good friends we met huie and Kyle and Schwarz eventually in 20121 and and and

S12-P0094 original line 67, characters 69924:71688
2022 um but it's just we became friends we be we were all so passionate about trading um at that point I had already trained like five to 10 people in my hometown how to trade so I really liked that part of it as well and eventually we just kind of decided if we want to do that and go into the education side and help as many people as possible and we didn't want to do our own things we just wanted to do it together and uh you know have different perspectives all in the same place cuz we all do things so differently no and it's it's definitely worth following the social media channels I've seen

S12-P0095 original line 67, characters 71689:73364
a couple of the reals and the and the and the creative I've been working on an advertising agency for 10 years and and a lot of what you do is H it's it's top draw it's it's very natural and it's funny um we work hard on them no no dude I can tell um and in terms of kinfo what what made you want to subscribe and put your profits on kinfo because you don't have to you don't have to sh you trades you don't have to show you profits yeah I know someone in my position who is out there teaching I I think it is important to be transparent and for people to know at

S12-P0096 original line 67, characters 73365:75140
least that you know what you're doing um and over a longer period of time than just the last six months or the last year you know I didn't want to teach for the first few years of my career when I made my first million or made my first couple hundred thousand because you know call it impostor cision whatever it is I just wanted to see like make sure I knew more than I did go through a few different Market Cycles which is important because I mean I've struggled in the past different moments I've shined at different moments in the past and you look at any one of these Traders it's not always so Rosy um

S12-P0097 original line 67, characters 75141:76961
and I think people can learn from those stretches where you struggle the years the down years you know they can learn from the great years as well um but Kimo in particular um I think that's important just like just to see your overall profits it's really important to know how you're doing and to make sure that you know your numbers um I think Kimo is great for you know a lot of the analytics that they just spit out to you it's so easy it's really easy um where you know I track everything personally as well on a spreadsheet so that way I go through the H the process every single day of having to input

S12-P0098 original line 67, characters 76962:78780
my number so that way I'm in tuned with them so that way when I have to type in a negative $22,000 day it's not just something that gets uploaded I can look at it in two weeks I have to actually manually do it so that way I can feel those emotions but being able to know really in-depth stats like what day of the week am I profitable what types of s tickers do I make um the most money on um you know what time of day um your biggest profits versus your biggest losses your average winner to average loser your overall win percentage your win percentage over this month versus last month how I'm doing

S12-P0099 original line 67, characters 78781:80539
on Longs versus shorts I think it's just really really important to know that stuff and you know a piece of advice I have for beginners like something that I didn't do for the first six seven months of my journey of trying to become profitable was have a freaking clue of what I'm doing actually have data behind what I'm doing and be able to go this is how much I've made on this pattern this is how much I've made on this one this is my win percentage of this pattern this is maybe a pattern I should cut out this is what time of day I excel versus when I don't and when you don't have that

S12-P0100 original line 67, characters 80610:82500
information you're just you really are just gambling and you're trading blind because the whole point of data and your analytics is to create an edge you know if you're a discretionary Trader and it you're not systematic where it's just if I see this type of percentage up on the day and if it's this float with this type of catalyst whatever I short here risk 30% I cover it this time if you it's not that technical there is a lot of nuance to it and you know having all that data personal data is where you're going to get the most information it's important to back test the types of patterns you're trading but it's really important

S12-P0101 original line 67, characters 82501:84459
to back test yourself and to actually look at you know where you're performing well where you're performing not if you don't know that information um you know stuff like Kino is super beneficial because a it just goes in there automatically and it spits out all the numbers then you just go through and kind of see it um yeah I just think that's it's really really important for people to know that information it's something I definitely took too long to do and every time I go through draw downs and struggle it's it's usually the same time that I stop tracking my information yeah no no that makes full sense and I think people don't realize how

S12-P0102 original line 67, characters 84460:86096
easy it is it's it's literally just press one press one button and then press another button then it's all information is all in it's like okay that's easy um I've got a philosophical question I'm going to go a little bit deep with you right now okay uh do you think the world that we live in right now would be a better world or is a better world for having furus and pompers or do you think it would be a better world without the furus and pompers pompers pompers um it's kind of I feel like I feel like I could answer both ways um I think it's good to have a lot of people on the

S12-P0103 original line 67, characters 86097:87860
same side of Trades at certain moments time and to know that they're all on the same side of the trade like you even see it with like ffi even right now they went on an incredible run from three cents to like $4 um I got squeezed on it but even now you see there's a Reddit group of like 55,000 people all on the same play page you know it's the blind leading the blind and it's really sad to see right so the end result is usually a lot of sadness you know all the pumps we've seen in the past where people are sold this pipe dream and it looks great for a while but they're

S12-P0104 original line 67, characters 87861:89694
really just the liquidity to make the thing go back down to zero and that's really sad to see um especially people who give money to the scammers and the furus um and they'll never see that money again but uh so I kind of see it from both perspectives I think it's really sad it kind of puts a bad taste in people's mouth for the industry as a whole when it comes to trading specifically day trading penny stocks I think it's hard to know who to trust anymore which is why stuff like Kino is really important to have it backed by third party or whatever so that way you can't fudge the numbers up um but

S12-P0105 original line 67, characters 89695:91417
I think there's good and there's bad with it but I think there does need to be probably education on there for people not to just go and follow anyone to give them any money uh and to to do the education you know at some point the stock market's a zero some game and if you want to donate it to the market by following some guy that has already bought the stock and you're just pumping it up for him it is what it is but it's also become really entertaining I feel like in the in the past couple years with people out there who are just blatantly doing it it's kind of funny it's entertaining and

S12-P0106 original line 67, characters 91500:93223
uh you know it makes the game just kind of cool you know stuff like roaring Kitty you know that's crazy when he's not actually a pumper but it's hard to say he's not pumping the stock it's all gray area but I I think it's entertaining yeah but I mean some of these personalities H RoR and kitty Zach Mars they just make the business fun I mean for me it just it just makes the business fun as long as you're aware as long as you're aware of what's going on it's it's it makes it more fun and it brings opportunity I mean it's also I think like I live in Rio de janeo and and Brazil

S12-P0107 original line 67, characters 93224:95128
I've lived here for the last couple of years and um it doesn't have the be best reputation for Crime but because it doesn't have the best reputation for Crime it's actually I have all of this natural beauty in the world's most famous Spees at a very discounted price so almost think of that with penny stocks like penny stocks have got a shitty reputation not that Brazil's got a shitty reputation but penny stocks have got a shitty reputation and does that not mean that people like you get get this really strong Edge to take advantage of it all because other people are scared to go in could it be like this yeah I think because of

S12-P0108 original line 67, characters 95129:96885
that you know and even when it comes to the furus and stuff and just any kind of Spotlight being shown on small Caps or penny stocks like the gme stuff brought a lot of money into small caps because people don't want to trade an $80 stock if they have a $2,000 account so they're going to go and what we've seen over the past last couple weeks right a ton of low price stocks moving what do we see mbio go from 12 cents to a130 today from yesterday into today and that wouldn't be possible with a lot without a lot of people foming into this stuff and so you saw in 2020 in 2021 with stimulus

S12-P0109 original line 67, characters 96886:98643
checks in Robin Hood and a lot of that dumb money coming into the markets and yeah I think it does it definitely helps and because it is a zero sum game having the education definitely pays and it sucks when you gets painted in a negative light like you get pushed into that Circle and you know you're an educator and you're in the penny stocks world you're a scam uh and that part sucks but I sleep just fine at night knowing what I do is because I want to help people and I actually know what I'm doing but um yeah it's kind of catch22 because there are a lot of positives and a lot of negatives

S12-P0110 original line 67, characters 98724:100294
to it but like you said I think it uh it does make it more entertaining and I will take as much money as you know the more money poured into small caps the better you know put some into otc's while we're at it you need RoR and KY in the otc's Mar in the otc's um okay we'll we'll close up on some uh some advice for new Traders so if what's what I'd like to ask is what's the biggest mistake that you've made where you would like to pass on that advice to a new Trader is to prevent them from making that same that same that same mistake um you know we've kind of talked

S12-P0111 original line 67, characters 100377:102139
about it with the tracking I was try to come up with something different um I made a lot of mistakes um I think consistency is probably the biggest one for me like like not trying to be consistent in my Approach um not in terms of like over my entire career like my p&l curve is quite consistent over time over the eight or nine years that I've been doing it but I've definitely you know I always call myself the most inconsistent Clover because you know I am not green every month of the year not green every week I go through a lot of draw Downs over the course of a month or two where I have

S12-P0112 original line 67, characters 102140:103938
to work my way out of them because a lot of the negatives we've talked about today um so I think it's just consistency and focusing on like an entire year versus thinking about this week or next week and putting so much emphasis on what's going on right now versus um excuse me sorry sparkling water um uh without thinking about like the long run like I said know not no one trade means that much and I think over my career I've tried to make that reality right we in a slow period and there's not a lot of plays out there whether it's summer you or just a slow week you just kind of push and you

S12-P0113 original line 67, characters 103939:105691
force you try to force your will on the market and all of a sudden in a in a week where maybe best case scenario is you lose zero or win small or lose small you're get a huge hole and you set yourself back and then your your mind set's wrong so you go into the next hot period with kind of you know your tail between your legs you're not feeling good so maybe you get some of your money back but not all of it in a period when you should have really taken advantage of that market and really shot to new highs on your profit chart so it's just all about consistency and you know

S12-P0114 original line 67, characters 105692:107527
it's taken me until 2023 because at the end of last year I kind of started this new experiment with myself of sizing down recreate I mean not recreating but really only sticking to my patterns and going through a stretch of like proving to myself that I can you know be green every month and I I would like to be more consistent overall because I don't believe you know I should ever have a great a red month no matter how slow the market is if I'm sticking to what we' talked about today in terms of risk management not losing more than one hour in any not going outside my playbook to find other things that other

S12-P0115 original line 67, characters 107528:109342
people are trading and I truly do execute well in the opportunities that are in front of me um I don't believe there's any Market hot or cold that I shouldn't be able to excel in so I think it's just really coming down consistency and approach making sure I'm putting in the work in I got really complacent um in last year of you know having made a lot of money having traded quite well pushing a lot of size and you know I was humbled with some big losses some stretches where I had to you know still digging myself out of a couple of them and it really affected my mindset so having that consistent approach of

S12-P0116 original line 67, characters 109343:111172
if you're going to get into this game right now like start thinking about it like who I want to be in 5 years 10 years 15 years because uh well it comes fast but uh you know you never stop learning you're never going to master this game so just nice and slow like a turtle slow and steady and uh yeah so consistency in everything that I do when it comes to watch list making trade plans risk management studying material so I don't you know ever think that I'm better than I am and always just adapting to the current market current market current market as well as tracking everything we talked about before knowing your numbers

S12-P0117 original line 67, characters 111173:113155
yeah but and and also I think when people are looking at these multi-millionaire Traders or anyone who's made more than 500,000 anyone who's made more than a million I think you just automatically assume that these people have just got control over their emotions they've just got the the secret key where you've got discipline and you can cut every loss but like but it's not the case like when I talk to you you sound like you've gone through some struggles managing emotions cutting losses and you've had fantastic risk management so like it's just how are you how you just keeping yourself in check like you said before it's basically just small punishments or having a word

S12-P0118 original line 67, characters 113156:114940
with yourself I just saying look five years time it's these psychologies these thoughts yeah I mean at the end of the day what I always come back to is it's like you know it's easier just not to make the mistake than have to fix the mistake constantly So eventually you get to the point where you know you're going down a bad Road you know you've gotten away with a little bit of danger and it's worked out for you or hasn't hurt you that bad um and you just be honest with yourself you say I don't want that for your I don't want to have to get out of a draw down I don't want to

S12-P0119 original line 67, characters 114941:116670
have to recover from a big loss um and you just start to make better decisions and it really is a process like every time I've come out of a draw down you always think even you know us who've made a lot of money trading and have a lot of skills and have done really well you know like you said we go through a lot of emotional turmoil we make a lot of mistakes sometimes at a really big scale that really affects us negatively but you know how you come out of that like most you always think you're just going to take a big loss and everything just goes back to normal but your mindsets messed

S12-P0120 original line 67, characters 116751:118630
up your psycholog is all screwed up it takes time and so many people want the fast pill to success in this game and it just doesn't exist even once you've made made it or done quite well for yourself like the market is constantly changing the players are constantly changing there's always a new challenge whether it be with yourself or the market and kind of getting used to just being resilient and just plugging away and realizing it's better just not to make the mistake than have to deal with the consequences and so some times the punishments work but for me it's more of just like being paranoid right being on edge a little bit of like

S12-P0121 original line 67, characters 118631:120487
I could swing this overnight and maybe it works out in my favor but the odds of it working against me are like 50/50 and it could get really bad or really ugly or maybe they could drop an offering or they have this filing that they could put out or news is tomorrow I could swing through it uh and it could pay off huge but it's not worth the risk and you start to realize when you start thinking about this in the marathon perspective of the next 10 years 20 years you start thinking about this from the perspective of not one trade means everything you start taking less of those risks and you realize you're a

S12-P0122 original line 67, characters 120488:122350
lot better off for it you sleep better at night and you're pulling yourself out of a lot less draw Downs so I mean is that just the case because I know if it was me and say for example if I just took a bad loss and I saw an opportunity where I could make it all back I'd be thinking [ __ ] this I'm just going to gamble just going to gamble because I'd want I'd want the to of being here they're feeling great yeah but like are you are you having a conversation with yourself or you thinking look think five years 10 years is that how you literally stopping yourself from taking these decisions is that

S12-P0123 original line 67, characters 122351:124060
what you're doing or you just know deep down in your head it's just the wrong decision like it's just like it's just a bad idea like eating ordering a McDonald's after you've just ate a McDonald's like you just know it's a stupid thing they do is it the same thing for you I think it's that but I think once I've hit taken the loss or gone through you know you know Kyle is like a perfect example of just being he's like for the most part just like steady yey like if he'll take a 200k loss show up the next day short that same stock and make a majority of it back with a fear in

S12-P0124 original line 67, characters 124061:125796
the world right whereas for the most part if I take that big loss you know something like top where I got squeezed to the High Heavens on um last year um you know I didn't trade it again because I just didn't want to compound that loss and for me if you do make a mistake and you do break a rule like just don't compound it don't make it worse if you you risk a $100 a trade and you're down a th000 in the morning cut yourself off just stop take a day off maybe a punishment is I can't trade that stock again maybe it's I can't trade for two days like there you call your

S12-P0125 original line 67, characters 125797:127588
broker and tell them shut my account down for two days give me to the weekend like whatever you have to do to not make it worse like that's always worse it's the decisions that follow the bad decision are almost always more mentally draining than the first one you made because usually what happens is it was probably a good setup that you screwed up on in the first place right a setup you would take again maybe there's one rule that you would just change right maybe I wouldn't have sized in bigger because I thought it was a hotter Market maybe I wouldn't have let it test the level 10 times before I cut it and I

S12-P0126 original line 67, characters 127671:129370
had I got on to the upside like maybe I would just cut it immediately when I hit my risk and reevaluate it right it's usually the next thing that we do that make puts us in that mental Purgatory of just like anger and more anger more tilt um because then you're just like am I a freaking idiot like why would I do this again why would I let it happen again and then those feelings are always worse than the first mistake like I'm okay with you making the first mistake let it be bad like deal with it once you're out of the position um but the next move I think is the more important one

S12-P0127 original line 67, characters 129371:131296
cuz that's usually where people get in trouble right a one hour loss turns to a twoh hour loss turns to 5x size turns to 10x size turns to now I'm definitely not cutting it and it's always the compounding of the mistakes that makes it worse than the initial mistake and so either having some sort of rules with yourself um max losses on your broker there are ways to protect yourself um you know I've never done that to myself probably should have in the past I've always trusted myself um but there are ways that you can you got to find what works for you like what what actually motivates you to make changes and you know

S12-P0128 original line 67, characters 131297:132953
cuz whatever I say to you isn't going to motivate you you have to find something that works for you that gets you to stay on it and usually for me it's like do it for a month prove it to yourself do it for two months prove it to yourself do it for get to the point where it becomes second nature and that's not something you have to focus on because then they become habits and then you're in the clear until you know the they start to creep back in again and you got to remind yourself of what I did in the first place to get me there I I think I think when what you're

S12-P0129 original line 67, characters 132954:134669
saying there about compounding is uh is really important because I think for me some things that can just not cut a loss and then just be like oh well didn't cut it didn't cut it so I'm I'm a failure and I'm failed again so let's just see what happens but what you really should think is look I didn't cut that that is a really big warning sign that I just need to cut myself off for a few days and look it's not the end of the world it only went up 5% just get out it's over don't pray that back down because it probably won't so now make sense do you have a final tip

S12-P0130 original line 67, characters 134670:136403
or I mean what I was going to ask you is um what's the biggest problem that you see new Traders get and how could they overcome it but I want to ask you that but also if you've got any final final piece of advice to close the biggest problem I see with other Traders or myself what was the questioners like biggest problem for new traders that you face globa um yeah I think you know like I I said a few times like most people can figure out the patterns they can find figure out what a multi-day break is figure out how to trade a day one gapper learn how to short a first R day

S12-P0131 original line 67, characters 136404:138318
like that's like the the easy stuff um but for me really you know it's doing everything it's not just studying the patterns it's studying yourself it's back testing those specific patterns to work for you finding edges within an edge within an edge that you can Master but it all comes down to tracking and knowing your business um I think so many people just don't take it serious like all those things really the answer is like take this serious go through every step possible to be the best you're trying to fight to be part of a 5% or less club and and you have so much access to people who are part of that 5% you

S12-P0132 original line 67, characters 138319:140140
know study what they are doing and do those things don't just go I'm going to learn how to trade like Jack because you probably won't you won't learn how to trade like Nate because they you know know exactly what works for them and every trade they take is tailored to them find what's tailored to you stick to it for a period of time roll your accounts before you go and try to learn something new um but it really comes down to just taking it serious too many people trade every day that should never spend a dollar on the market and that's just the truth do you know invest in yourself in your education and actually

S12-P0133 original line 67, characters 140141:142086
use what we're talking about like actually track your trade through kinfo do it through yourself and actually you know become very educated on what you do in the markets and who you are in the markets learn from it actually apply it and then have the discipline to stick to it for a period of time because that's when you see every Trader go from negative - 6K to positive 20K in two months and it doesn't look like they've done anything different they're trading the same pattern it's cuz they found out how to Master themselves in their abilities and only pick certain moments in a pattern in a trade when they actually do something so many people

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want to trade everything and trade all the time but in reality it's very difficult to find an edge in the market and so when you do I encourage you to milk it for all that it's worth for as long as it's there before moving on to something else and becoming a master at that um and doing whatever you have to do through your data to find out what that is I always say there's a profitable Trader and every inconsistently profitable Trader and they just will never see it because they're off doing they do so many things so sticking to some some small little basket of you know preparation of actual excused on the trades only

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a specific amount of patterns and just do it for a period of time prove to yourself you can do that cut your losses you know find a way to get your average winner over two to one um but it really comes down to just taking it serious too many people they will you know they put money into the markets at probably you know is just a donation because they're not doing all the necessary prerequisites um that are required before you actually can even start to take off in this game if it's not a donation it's certainly just a trip to the casino right it's as simple as that yep but uh we'll I think we'll

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leave it there there's nothing else to add it's a fantastic way to close uh thank you so much for your time Dom very insightful fantastic answers and a lot of learning points um we'll just close out now for with a message from our sponsor well guys just wait one second I just do want to remind you all the center point Edge offering is available to everyone we've got the link just down below in the description check it out and thanks for watching

S13 | Ep. 5 Of Transparent Traders: Young MILLIONAIRE Hyper Scalper Andy (Quickbags) Shares His Secrets | Complete normalized text

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Ep. 5 Of Transparent Traders: Young MILLIONAIRE Hyper Scalper Andy (Quickbags) Shares His Secrets

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=================================================================================================

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📅 Uploaded: 2024-08-02

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⏱️ Duration: 0:19:22

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👁️ Views: 3,332 (Rank #1 of 1)

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💬 Comments: 10

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📼 Playlist Progress: 0:38:44 of 0:19:22 (200.0%)

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--------------------------------------------------

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👉 Check Quickbags' trading performance on kinfo: https://kinfo.com/portfolio/23321/performance

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👉 Open an account with COBRA TRADING:

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https://www.cobratrading.com/account-opening-process/

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👉 Gain access and discounts to leading trading tools with COBRA PRIME: https://www.cobratrading.com/prime/

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👉 Get 1 month free kinfo PRO and PRO+: https://kinfo.com/kinfo-pro/

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In this episode of the Transparent Traders podcast, we sit down with Andy (Quickbags), a trader that is knocking on the door of the top 10 kinfo all-time leaderboard in 11th place with an impressive $1.3 million in verified trading profits.

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Join us as Andy shares his unique sub-dollar trading strategy, analyzes recent price action in the OTC market, and offers invaluable advice to new traders that he wishes he had received when he first started.

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🌟 What You'll Learn:

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- Learn how Quickbags achieved $1.3M in all-time leaderboard profits.

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- Tips on how to be a hyper scalper to generate millions of dollars.

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- The significance of transparency and using tools like Kinfo.

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- Typical trading patterns Quickbags looks for to make big profits.

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- Essential risk management strategies for all traders.

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- The journey from unprofitable to consistently successful.

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🔑 Key Takeaways:

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- You should take big size on your A+ set ups.

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- There are big profits in sub-dollar stocks with the right strategy due to range/volume.

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- You should look at what’s hot in the market and adopt Tim Sykes Framework to it.

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- For stock selection look for where the money is at as that’s where the dumb money is.

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#trading #daytrading #trader #tradingtips #stocks #stockmarket #transparenttraders #tradingstrategy #tradingforbeginners #millionaire #millionairemindset #finance #money #moneymaking #financialfreedom #TopTips #MarketTrends #ProTrader #Transparency #StockAnalysis #StockTrading #SuccessfulTrading #MultiDayBreakoutPattern

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CHAPTERS:

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00:00 Introduction of Andy and his trading success

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02:36 Andy's strategy for trading sub-dollar stocks

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04:41 Identifying and capitalizing on hot market trends

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08:56 Discussion on OTC markets and NASDAQ trading

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11:01 Andy's thoughts on transparency

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13:01 Views on trading gurus and entertaining figures like Zack Morris

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15:43 Perspective on unverified traders selling courses

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17:14 Advice for new traders on finding their strategy

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19:22 Final thoughts on achieving success in trading

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🔗 Follow kinfo: https://x.com/Kinfo

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🔗 Follow Andy (Quickbags): https://x.com/Quickbagss

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🔗 Follow Cobra: https://x.com/cobra_trading

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Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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today we welcome Andy when it's your setup and you know it's your A+ you should always like go balls to the walls who sits in 11th place on K for's alltime leaderboard with 1.3 million profits do you have a favorite furu I would for sure say Tim SE that's more Guru in terms of furu is in the scamers oh furu okay don't worry I'll edit that bit out as well I'll edit that bit out okay I thought you said I thought he said gurus okay welcome back everybody and today we welcome Andy who sits in 11th on Kino's alltime leaderboard with 1.3 million profits at just 27 years old uh today we're going to jump

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into his strategies industry transparency and it's top tips for new Traders but first I just want to quickly mention you can get kingf pro kingf pro plus free for your first month all you need to do is Click log in and click upgrade but uh first of all Andy nice to have you welcome how are you today I'm doing good and thank you so much for having me not a problem so Andy I see you 11th on the leaderboard crazy amount of profits for someone your age so first unbelievably well done um but you you come under the name of quick bags can I just ask you what the the story is behind the username

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yeah so a long story short when you're trading you're getting bags and sometimes it can be quick too and I like getting quick bags so that's where the name Quick bags came from because when you're trading it can be pretty quick so you're looking for those uh those quick bags of money those quick bag opportunities right yeah those quick bags and quick scalps very nice very nice indeed okay so I was looking at some of your recent trades and what was really interesting about you is that you seem to be into the uh some of the lower priced some of the Sub sub dollar stocks uh can you give it some sort of indication on

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strategy there what you doing what you doing in doing in doing in there yeah so I really love those sub dollar stocks because they have insane range such insane volume and you can really capitalize and grow your accounts significantly um because those movements they don't take um they don't take a lot of like movements to to grow your account and that makes full sense but when you've got volatility on one side The Winning Side you've also got volatility on the losing side so how do you manage your risk I'm only saying because I've traded these subc caps and I've made some terrible catastrophic mistakes with risk management and been down like 100% so like how

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how are you managing your risk to not do the stupid things that I do yeah so I would say you want to wait for the runup to settle down come back down and then you can play the consolidation perk after it gives you some nice tight risk levels levels levels um from where it's been basing for like the past days on the daily chart and then after that you can play the secondary run up into the breakout again because once yeah so are you playing these long are you playing these short are you playing both I'm mainly long so I would only long them so go go through that strategy again sorry just so I

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can um try and understand that for everyone else watching yeah so you can play the initial run up like the first one or two three days just just get in on some consolidation and you kind of play the trend or what I like to do is I like waiting for the for the chart to settle down a little bit after like the big runup you want to see like two two or like three days four days of consolidations like and then once they go sideways and per perk off consolidation you can you can play the secondary breakout because often times once they have that that huge runup like Fifi uh they tend to run a

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lot more um after they after they after they Consolidated ah dude that's that's uh that's really really interesting stuff and it's just it's it's a strategy that reminds us of Jack K we'll go on to him in a second but uh but you can't are you just playing any stock that what is it 20 30 40 cents it's Consolidated for a few days after an initial pick is the more criteria than this or is this the criteria I would say it's a little bit of that and it's a little bit of what's been working in the market and it's and what's been hot um because back when Fifi ran after Fifi you got your syn

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you got your Peggy and it was just momentum like spreading towards those stocks and that lasted for like a couple weeks and so now I think it's moved on uh to like maybe like dollar or two or $2 stocks so it's just whatever the Market's giving and what's what's hot in that moment H so that's interesting so I mean so you it seems like you're looking for the same technical patent where you you know the 3day runup and then you know the consolidation for the extended breakout after but so but it's almost like you're looking at what's hot that's going to fulfill this pent is that how it is yeah cor yeah correct so I

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would apply the framework to it and then I would look for what's hot in the market right now what's moving so then you can adapt to what's been working because like um you might you might trade a specific pattern but if that's not working right now then you won't have any success trying that because like um because the sub pennies were hot and so if you're trying to do like um some big cabs or like Maps then you probably won't get a lot of returns because all the money and all the eyes and all the emotions it's over in the um in the pennies right now yeah I know that makes that makes a lot

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of sense so do you have any CR I think I need to start learning from you but uh do you have any criteria for what makes a hot I mean obviously you can say it's hot SE that could be so penny a hot that could be AI but it like is how do you determine it is it like there's 12 stocks on the pre premarket percent gainers today or or how do you qualify it I would say stocks that has a big percent gains but then they hold those gains and then they continue to to have multiple days of run-ups rather than giving those gains back because every day there are stocks that that gaps

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up but not a lot of stocks kind of hold their gains so you see so you want to see multi-day Runners because then multi-day Runners gives you those just insane range uh up and down um to trade so and is that like literally it so it's like okay what stocks run and it's tell the ties you don't have to give too much of your strategy away I know this is about transparent trading in Kimo but you don't need to give too much away but like I'm just curious so once you've had one runner in the sector that's held its momentum then you start to look for what's next is it like that or what what

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else might be coming up right because once you have like a Big R Runner like Fifi there there's often sympathy plays that comes after them um so you can go after those sympathy plays too because it's just Mo it's just momentum spreading spreading everywhere else and everyone's trying to find the find the next Fifi um the next hot runner so you want to go where everyone's at and that's where the money is at that's where the DB money is at n no it makes absolutely full sense we're just going to quickly pause because we're going to have a quick message from a sponsor and we'll be right back in one second Unleash Your trading potential

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with Cobra Prime Cobra trading has released the ultimate Trader package crafted through strategic Partnerships with top businesses and software innovators you can now gain access and discounts to Leading trading tools from Advanced analytics and charting systems to trading platforms with over 15 partners and growing Cobra Prime lets you customize the Perfect Trading package for your needs the more you trade the more points you can earn to unlock additional trading tools click the link in our YouTube description and sign up to COBRA frame to elevate your trading experience okay we are back and we're going to be talking about uh OTC stocks furus and gurus and what knowledge you may have gleed from Jack col because

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I believe that you you credited him as when you made a million dollars but first how's the OTC markets for you uh Andy if I were to be honest they are completely dead right now you still get spurts of like one or two like the most recent one dftf but for the most part like this year it's been incredibly tough and I think they kind of just died off for now so so are you sticking with the sub if it's low price of pennies it's more like NASDAQ or it's it's basically NASDAQ or nysa or something like that yeah so just a penny dollar five or sometime mid two just just around around around there

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and um I saw you when you hit the Mo you give a special tribute to H Tim Sykes and also to Jack Kellogg is there anything that you picked up from Jack because we all know like Jack's the Master Trader right who's made the the seven million in eight months or whatever it was he's up to 14 million or something now so is there anything that you've picked up from him or any tips he give you to help you I have yeah so just seeing Jack achieve what he achieved and he basically showed you what was possible and that really INSP ire me and help push me too um just to be the best Traer

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that I can be um just seeing him like um how he like plays those um A+ setups like when is when is your when is your setups and you know it's your A+ you should always like go go balls to the walls I like that expression do you know get some people say if you go balls to the walls like how do you manage your risk but do you feel like it's like as long as you're really on point with your risk management you can go balls to the walls with the A+ setups exactly you got you got to get in there and and um just hope that it doesn't come doesn't come doesn't come

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down ah but like for example if you're going long there's less risk rate you may have the offering but it's not shorten I was believe there's significantly more uh risk because it's already up it's up too much it's got to come down I may as well hold it but with Longs I feel like you can invest a bit more Capital because you've got that stop and trash anyway so if it falls rationally it should fall right yeah you can then for Longs you only only only loseing of of how much you put in but with with with um shorts you can lose in like infinitely more so it's a lot more scary to be short

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uh than it is long for sure yeah 100% 100% And in terms of transparency uh I'll ask you some fun fun FAL questions as well to get your opinion on these but why did you just decide to be transparent like why did you decide to go on kall what's what's the the the advantage yeah so it started with just it was just very convenient just to log everything and to see your p&l curve and to see where you're at in your journey and I like to be organized and to see my progress I guess over time it just it was just like a habit then I just kept doing it and plus um kful kful

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layout and everything makes it makes it easier to like see and track your trades too so so that's probably the reason why I've been using kin for a lot too no very nice yeah and some of the pro some of the Pro St is really nice for see where you're going right and where you're going wrong going wrong going wrong um the other thing I was going to ask is you're number 11 on the leaderboard you're breaking into the top 10 braking in uh so my my my question is do you have you had any any advantage from being in the top top 11 in the leaderboard so far like with networking or just by

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being verified um not really I would say it's more like it's kind of like a video game you're like oh it's nice to be top 10 top 20 um but other than that not not really not not so much no no makes makes sense sense sense um and in terms of furus do you have a favorite furu and if if you do why I would for sure say Tim Sykes because he's such a incredible teacher mentor and person and he just created this awesome Community where a lot of good Traders come together and just help each other which is nice all but in that's that's more Guru in terms of furu is in the scamers

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you have oh furu okay fur don't worry I'll let that b out as well I'll let that b out okay I thought he I thought he said gurus okay Tim SES is the best furu I'll end it you're all good now I love getting scammed by Tim s but do you have um in terms of f rules do you have a f Ru that you that you like to follow that's engaging that brings volume to the market I do I would say Zach Morris you know he's uh he's the one to go to he's always ping the best dogs and his army is crazy he's got to follow what he picks at and you'd be

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rich ah but but like um I sense some sarcasm in there or do you know a way of trading ahead of Zach or knowing how to trade Zach's pumps do you know well yeah so after he alerts it or pumps it very short lifs so you can you can short it afterwards too because those moves are like irrational it's not is up for the wrong reason so you can short his picks afterwards too but other than that he's just a very entertaining person to follow on on Twitter and some of the some of the some of the stuff he post is very funny too I dude I I absolutely love Zach moris um I love

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to say you you May's not know the Saved by the Bell Zach moris I don't know if you know him did you ever say Saved by the Bell it's too too many years ago uh I've never seen that is like a movie or ah so save by the Bell is almost too old for me save by the Bell is a is a is a show and Zach moris was like a TV character in this series of episodes it was like a comedy about kids in school but it was a it was like not even a series it was like a kids television show and Zack moris was the star in the kids television show and

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this guy I don't know his real name I forgot this guy looks like Zach moris from the television show and that's why he's got that that that D oh okay I see yeah they kind of look like twins you know maybe that's how you got so popular it's good marketing too it's why he's a he's a good marketer he's a good pum um since you're on kall I was just curious to know what is your thoughts on these kids who are shown pictures of Lamborghinis who are new to trading the 2122 they're saying they've made Millions they're showing profit statement they're showing trades progress they're showing for example um like a p&l of the day

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but they're not on kall and they don't have Broker statements what do you say to these guys when they start selling courses what what's your thoughts on it I would say that's awesome that they're doing that but at the same time because because because the the stocks and finance industry it's full of like um scams and snake oil so you never really know but I'm because I'm I'm sure some of them they are giving out good content good content and good info and they want to help people so if they're so if they are doing that I think it's nice to have some credibility and some verification just because the way the industry is like

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it's just full of scam so you kind of need credibility and verific if you are putting stuff out there so people don't um just fall for just any scams and because you don't really know what's what's a scam and and what's not no 100% agree and then just to close up on some advice for new Traders what do you think the biggest problem new Traders face is and and what's your advice for them to overcome it i' say the biggest problem is Traders they don't stick around long enough to really to really see what fits their personality and what works for them and what makes them comfortable with um with their personality because everyone's different

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um so you got to stick around and see which patterns suits you better and what you're comfortable with and that makes makes a lot of sense and and and how long were you trading just until you got profitable how long did it take you to 10 the curve would say about three or four years in to my journey yeah to to start seeing something now that's a it's a good it's a good effort right so and in terms of are you a guy who uses metal stops or you a guy who uses hard stops it's a little bit of both but I would I would say the majority of time is hard is hard is

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hard stops and in terms of new Traders what you recommends has to be hard or it depends on them 100% hard because you don't know what you don't know and then as you progress and get better and get more experienced then you have those mental mental mental stops and what's the best piece of advice you received when you got started in trading thought your losses quickly but Tim Tim Tim syes that's the truth it's the it's the best piece of ADV Bas but the hardest one to follow and uh what does a new Trader need to do to faint success in the market last question just stay in the game and into something clicks with

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you and start very small and then just keep trying just take stabs at every pattern every every every um just any any um any idea you have until something clicks and just stay alive until you pick up something and then you go off from from there try not to blow to blow to blow up that's great advice uh we're going to close with a quick message from today's sponsors but Andy I'd like to thank you so much for your time it's been fun to talk to you and and thank you for sharing the uh words of wisdom yeah thank you so much Stephan for having for having me I'm sorry for having me on thank

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you so much for watching and I just do want to remind you one more time about Cobra's ultimate Trader package Cobra Prime the link is in the description click it below I'll see you on the next one

S14 | Ep. 6 Of Transparent Traders: BMAC changed these 3 things to make 703k profits in the last 12 months | Complete normalized text

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Ep. 6 Of Transparent Traders: BMAC changed these 3 things to make 703k profits in the last 12 months

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📅 Uploaded: 2024-08-09

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⏱️ Duration: 0:34:15

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👁️ Views: 3,903 (Rank #1 of 1)

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💬 Comments: 37

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📼 Playlist Progress: 1:08:30 of 0:34:15 (200.0%)

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👉 About Dip Traders: https://t.co/ELxgMsK597

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👉 Check BMAC's trading performance on kinfo: https://kinfo.com/portfolio/16826/performance

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👉 Gain access and discounts to leading trading tools with COBRA PRIME: https://www.cobratrading.com/prime/

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👉 Get 1month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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In this episode, we chat with Brandon (BMAC), a rising star in the trading world, closing in on the $1 MILLION verified profit milestone on Kinfo!

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Known for his hyper-scalping strategy, Brandon has racked up nearly $300K in profits across a 3-month period.

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Tune in as Brandon breaks down his winning scalping techniques, shares how he discovered his trading edge, and offers invaluable advice for new traders looking to find theirs.

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🌟 What You'll Learn:

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- The role of scalping.

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- Scalping benefits.

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- The impact of scams in the trading community and how to distinguish genuine traders from fraudsters.

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🔑 Key Takeaways:

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- Consistency is key.

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- Reflecting on past trading errors is essential for growth.

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- You need to find the right strategy for you.

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CHAPTERS:

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00:15:01 - The Challenge of Identifying Real Traders

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00:15:44 - Joining Kinfo for Credibility and Networking

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00:16:28 - Perceptions of Younger Traders in the Industry

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00:17:00 - The Impact of Scammers on the Trading Community

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00:18:00 - The Appeal and Risks of High-Profit Claims

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00:19:03 - Challenges of New Traders Finding Suitable Strategies

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00:22:27 - The Role of Fraudulent Traders in Market Liquidity

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00:23:05 - Lessons from Personal Trading Mistakes

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00:26:25 - The Benefits of Scalping for Quick Decision Making

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#trading #daytrading #trader #tradingtips #stocks #stockmarket #transparenttraders #tradingstrategy #tradingforbeginners #millionaire #millionairemindset #finance #money #moneymaking #financialfreedom #MarketTrends #ProTrader #Transparency #StockAnalysis #StockTrading #SuccessfulTrading #TradingTips #InvestorPsychology #DayTrading #TradingStrategies #StockMarket #TradingEducation #MarketAnalysis #TradingCommunity #TradingSuccess #TradingJourney

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🔗 Follow kinfo: https://x.com/Kinfo

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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welcome back everybody today we welcome Brandon a year or two ago I might have taken 40 trades a day and now I'm taking 200 who was quickly approaching the $1 million Mar say a majority of my trades fall with you know with the whole time of about 10 to 15 seconds it doesn't make any sense you know if anybody advertises a 90% win rate you better watch out because that loss that they take is going to be absolutely uh ginormous welcome back everybody today we welcome Brandon who is quickly approaching the 1 million Mark with $816,000 in k for verified profits today we're going to jump into his trading strategies uh a little conversation on

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industry transparency gurus and furus and we'll talk a little about a little bit about his top tips for new Traders but first a very quick reminder you can get King full pro and pro plus free for your first month just log in click upgrade super easy you'll get your Advanced analytics and uh and reports but first uh Brandon how are you today today today nice to meet you we're doing great thanks for having me and uh where are you trading from We're trading from Denver Colorado so mountain time yeah I was just thinking that sound sounds pretty cool and Brandon your life has must I don't know how much your life has changed or how

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much it's about to change but in the last 12 months I was checking your Kim $73,000 in profits over the last 12 months what the what clicked what click what what what happened yeah I mean it doesn't really feel real and when I look back at the numbers it I it's hard to even believe them honestly but I think it's just been the result of a lot of hard work over time um you know there wasn't too much that changed I I give you three things I think that that were that changed from you know a year prior one was just screen time I think anybody in this game if you're doing it for three

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or four years you're going to notice that you're going to find more and more setups every year you're going to get better at trading more and more setups every single year and so that was a big key for me and if you look at my statistics one thing that's kind of strange is I don't really size up as far as like share size or anything like that um really I'm just taking more trades so like a like a year or two ago I might have taken 40 trades a day and now I'm taking 200 trades a day so I'm just finding that many more opport unities um I say that's the first thing the the

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second thing was I was able to join a pod of some other traders that I met up with here in Denver and uh that's just been so so huge you know you you've got other ideas other people's strategies and you're able to kind of just you you share your knowledge what you know and then they're sharing what they know and uh it just ends up both parties end up benefit benefiting from it um so that's been hugely successful and I'm on like chat with them all day and you know it's it's a blast trading with those guys and then I say the last thing was I ended up going full-time in January and uh you

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know I had a I had a job at a startup and uh the company went under and so I was kind of forced into full-time I was ready for it but um yeah and then I had 100% focus on the market and I think that really ended up uh ending up uh benefiting my my results no but I mean that's it's as what I discussing earlier what a what a complete blessing what a huge blessing to like it's it's a disaster to lose your job right it's it's a nightmare everyone I think everyone's been through it at one point in life but for you to just be thinking okay this is the universe sending a

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message like now is the time let's go I mean what do you think about it now it's like a blessing no absolutely yeah I mean I I was prepared for it mentally and I didn't know when it was going to happen again it was like a startup company so um I was for it I didn't think much would change and I mean I was I was wrong thankfully uh because it is it's really interesting you know when you give a 100% effort to trading and then you have that extra time in the day to to to go back and watch your trades and like you're just putting in that much more time it really makes

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a difference yeah but I've I've heard this with these groups of successful Traders I've seen this a few times with like almost PODS of Traders I've s with I think Jack kogg was living with a couple of guys I think Jack was living with dom if you know these guys and they were trading together and then they just boomed and I've heard of other these other kind of uh pods existing elsewhere as well so it's definitely a great tip for other people um I saw that you described yourself as a a hyper Scala now I've known about scalas but I don't know about ha scalas so can you tell us a bit more about like

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how that how that differs from a scal or what the strategy entails yeah I mean there's so many different definitions for scalpers in general and I just felt like the the trading that I was doing which was on a very short time frame I'm talking uh I'd say a majority of my trades fall with you know with the whole time of about 10 to 15 seconds but those trades could be anywhere from one second to you know 30 seconds and then if if I'm holding tra a trade for longer you know I've got a winter and I'm holding on to it maybe it's like up to five minutes or something like that um but majority

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of my trades are very very quick and these are all like level two based entries exits so I am looking at a chart and I'll be looking for you know a chart to coil and we're going to play a breakout either way uh look for extended dips uh we'll look for parabolic momentum you know all kinds of like chart setups you can see it on the chart but you can really nail the entries and exits uh and manage your risk really well by uh dialing in on the level two and so uh that's and I yeah I just called it hypers scalping because it's just so many trades like I said before you know 200

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trades a day it's it's very a very active trading style I could imagine that's going to leave you feeling pretty exhausted and pretty tired at the end of every day no I don't know it's you'd think so but I also think it's kind of fun it's like a video game you're watching all these flashing lights and and uh you're clicking all these buttons and it just feels very engaging versus like taking a trade sitting back and you almost want to like not look at it because if you do you're going to sell it no no 100% understand I mean you're playing the funnest game in the world right it's like you're placing bets but you're

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the house you're placing the bets but you're the house and you get to place hundreds of these bets every day and if you win you make loads and loads of money like there's no fun game than that yeah who wouldn't want to play that game it's amazing but you've got to be winning if you're putting a load of bets on and you're losing this it's a much much less one game but is it do you have indicators that like are you compound are you compounding multiple patterns are you using different indicators are you using python no I don't use I mean vwap is the only indicator that I really keep on my chart or pay

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attention to um but I say for the most part it's just going to be price action uh and and and chart setups you know if something and every this is why screen time's so important because one chart setup might mean something completely different one day to the next in a different environment on a different stock you have to know this the story of the stock and every pattern is telling you a different story so um yeah I mean I guess I you know I'm trading trading tight charts for breakouts uh but if I see a chart that just keeps selling off for lastly can't bounce then I might try to like short it short it

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short it until I notice something in the tape that says okay I think this move is coming to an end maybe it's got a blow off or something like that uh and now we try to trade it the other way so I'm trying to like once I dial in on a good stock and by a good stock I means something that has range it has volume and it has tight spreads and I think you can talk to any Traders but if it has those three things Something's Gonna it's going to be tradable and when a stock has that then I'm just dialed in I'm trying to understand its movement its personality and uh I'll try

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to trade it any which way that's that's super interesting I've just got a quick question but we're just going to quickly go to a break from our sponsors of today's podcast and then we'll we'll jump back in Unleash Your trading potential with Cobra Prime Cobra trading has released the ultimate Trader package crafted through strategic Partnerships with top businesses and software innovators you can now gain access and discounts to Leading trading tools from Advanced analytics and charting systems to trading platforms with over 15 partners and growing Cobra Prime lets you customize the Perfect Trading package for your needs the more you trade the more point points you can earn to unlock additional trading tools click the

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link in our YouTube description and sign up to COBRA frame to elevate your trading experience so Brandon what gets me is the way you talk about these things it it it sounds like you've got such uh intuition you've got such intuition of the patterns of the market through the screen time that you've that you've endured but like how can you do this like what separates you from 9 7% of people that lose like how can you do it and no one else can what do you what do you do you do you do different yeah that's a great question I I'd love to answer that question but I have no idea honestly you know it's

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not like I'm some genius you know I was a a very mid-grade student through through grade school and and college and stuff like that I think the the only difference was that I was Uber competitive in anything that I did and two I just tried really hard at certain things and like the market was so intriguing to me and the idea of what the market could do for for me and my family and my life um that just kept me going you know that was my why and I just dug in you know I was every single day I'm I'm trading I'm looking at the the level two the charts I'm trading every single day

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the full day and then at the end of the day I'm reviewing my trades um I'm watching YouTube videos on like other people's content trying to understand what other people are doing what other people are seeing because right if you know what the other side's doing that's going to benefit you even more um because you can trade against them so you know I think it just really comes down to to to the work that I put in when you say thing I guess how much work is the work yeah so I mean I've been doing it for four years and like I said trade the full day so you got six and a half hours

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there uh you're going to review your trade so probably an hour there and then uh I used to do it a lot more in the past watching the YouTube videos and trying to understand other people's strategies what else is out there but I would I would spend another like two or three hours I mean my wife was my girlfriend at the time you know probably hated me but uh you know it was all for a good cause H see so you're doing like 10 hours consistently every day most days for for a few years right three four years 10 hour days yeah I say yeah for the first three years definitely that's that's what it

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takes uh and in terms of of how you found your strategy how did that happen because not many people go into like hypers scalping yeah I actually ran into this guy called Eric Green on YouTube and he basically put his whole strategy out there he laid out uh exactly how he traded his entries his exits um and you could just see exactly what was happening and when someone talks about like if I'm talking to you right now on the podcast I'm describing what I do there's a lot of nuance that isn't conveyed but when you watch somebody win and lose live you're seeing exactly what's happening and how they're managing their risk because that at

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the end of the day that's what we're doing we're just we're just placing our bets and managing our risk um and so and and just like you would if you wanted to be a professional soccer player or a professional video gamer you're going to go watch the professionals you want to see how the best of the best do it and uh this guy Eric green he was doing amazing he was having really good results and this was um right around uh after covid so like 20 late 2020 early 2021 and I watched this stuff and then and I realized okay like well why don't I just copy exactly what he's doing and so I started

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doing that but then I realized like well I'm trading on such a small time frame like maybe I should learn the level two and uh and then I started doing that and I just added more pieces more pieces instead of buying dips I started buying breakouts started adding different elements I forget what your initial question was sorry un tangent no no no you answered it perfectly the question was um what strategy how did you find the strategy that's to to personality and it's basically by meeting Eric green and then you've adapted from there R Yeah Yeah Yeah final question then I'm just going to ask you some more fun questions on uh furus and gurus

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but do you have any um any dream vacation any plan like now that you've made some money is there anything you want to do just to kick kick back and just enjoy yourself no you know so I've been working full-time saving up then you know grinding the nin to-5 and really just saving all the trading profits and um I I've been I've been so blessed I've been able to buy a house just we just closed on it a month ago and uh I got married just a month ago I just went on the honeymoon to to Bali uh it just got back last week and uh and now it's just about yeah paying off any

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debt that's on the house and uh enjoying life you know I I want to keep my expenses as little as possible because I don't want to I don't want to be a slave to um to the amount of money that I have to earn in the markets you know if I have a bad month bad year I want to be able to keep doing this and not have to go back and get a a N9 to-5 so so that's really my goal and that would be the the greatest gift of all you know I don't I don't need a vacation I love doing what I do I I don't feel like I need a vacation

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I'm sure my wife would disagree but yeah we're pretty happy for now no no it's I know I think what you're doing is very responsible as well and me B's an amazing place I've been a few times in terms of furus and gurus what made you decide that you wanted it be on kall yeah I I think I just wanted the I wanted to connect with other legitimate Traders and I think that was a big thing early on in in my learning process is how do you decipher between someone who's real and someone who's fake and there wasn't a good I I'd say until Kimo came along there wasn't really a good way to do

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that you had like broker statements and stuff like that but that could also be faked so I don't know it it's just really tough to tell and then right now you can actually just like look at someone's statistics and you could immediately tell if they're fake you know if they've got like an 80% win rate and their winners and losers are the same size you know it's like nobody has an 80% win rate with the winners and losers the same size you're probably averaging in or averaging down or something like that um but yeah I mean I originally got on KFI because I wanted to just show that I was real and then meet other

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real Traders I wanted to network with other traders who were legitimate um and and then obviously I wanted to see my name on the leader boards you know that's pretty cool but I mean I hate it like I've known people have been in trading in the industry for a long time and I've heard people saying like I mean how old are you for now or if you don't mind like how what's how old do you now yeah I just turned 31 31 okay like for me it's like I'm I'm younger I'm a bit older than you so for me it seem like a younger younger guy right still and like I've seen people say oh

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these younger guys like showing these big profits and this 800 Grand like I've had I've heard people say these they're all scammers they're just kids making stuff up on the Internet selling courses and like what does it mean for you you to be on kin for because you have that that validation that many people would think um you might be make it at up many people I know many people want I've been I know some older people say oh these young kids are scammers so what does it mean to you that you can finally validate and verify verify verify yourself yeah it's so important I mean just to give validity to to to who I

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am and and and help Network and and find these like PODS of other Traders and stuff like that that is so important because at the end of the day like I agree with the older people I mean these kids they are scammers because you know if if I'm a if I'm if I don't know trading and I'm finding their videos and that's the problem like they're good marketers that's why they exist because they're really good at marketing they're good at marketing you know fraudulent stuff and and then I'm G to go and follow them and I'm just going to lose a bunch of money so I mean really they're just scamming you they're taking your

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money and then you're you know you're gonna piss away your money trying to copy and emulate what they do which is it's not g to work so now but and the worst thing is like everyone Falls so the thing that's too good to be true Everyone Falls for it like that's the worst worst part yeah everybody wants it to be true everybody wants to make you know $100,000 oh I just made the $15,000 trade today it's like okay yeah of course I want that who wouldn't no but and no one's doing anything about it as well like I've seen guys who I won't say the names but I've seen guys scamming I don't know them

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personally I've spoke to them personally been like why are you doing this but I've spoke to guys personally who I know are lying paper trading making up profits putting videos on YouTube and then trying to get people into a chat room it's absolutely insane but hopefully this can stop in the next 5 to 10 years yeah I agree I mean I've I've talked to one guy one kid who I I understand the appeal for them you know they're they're trying to grind and I'm I'm giving them the benefit of the doubt here but you know they're trying to grind they're trying to make some money um and they realize that there's an opportunity here and

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and maybe they have the best of intentions maybe they really do want to teach people but they just don't have the knowledge uh or The credibility to do so it's like it's like saying I want to be a college professor and teach economics but you're in high school and you haven't had you haven't you haven't learned you Haven even gone through you know the art stuff you haven't earned your stripes yet so you know how are you going to go it's Noble sure but um you got to ear it yeah no 100% agree and in terms of these other furus and gurus at the likes of um Boren Kitty or Zach Morris or this whoever

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else do you think they help the industry or do you think they hurt the industry are you happy to have them there or not yeah yeah that's an that's an interesting question right because like I said you know they're really good marketers and and I'm not you you know I'm not bringing anybody into the market I'm certainly not they are uh sure it's in a fraudulent way but uh at the end of the day you know it benefits us because it's added liquidity um it's unfortunate to say that you know I don't want to to I don't want these people on the other side of my trades but it is what it is you know

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these guys are good at getting people into the market and um so is it good for is it good for our our industry I say that it I don't know it's a tossup you know morally no but financially yes and this is how the world Works in a lot of ways right a lot of things are morally not very good and the things that are morally not the best often do the best we'll have this thing with Bankers every every four or five years Bankers with the financial crisis or what they doing with a supre mortgage crisis was it very moral no that didn't make loads of money for Bankers yes and this is just

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how the world works unfortunately on a higher level level level um do you have a favorite furu or do you have a a a f that you hate the most yeah I hate them all equally to be fair but I did make a a video about one his name's Lander Schlesinger and he's he's a younger kid and you know it was just so I watched some of his videos it was just such a shame because he's running like a chat room or what it's not like he's sharing his his full screen every day or what not and what he's doing is he's he's taking a ton of Trades paper trades obviously and then he's only

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publishing the one trade that works and so he'll say that he made like 14,000 today on spy options and he'll do it every day you know he's he's green every single day and when he loses it's like oh I lost I lost small on spy options it's like how could you have like a 90% win rate and then when you lose it's smaller I mean you are a God you're a trading God you know you don't even you don't even belong with us peasants why would you ever share this information on YouTube if if you're that good it doesn't make any sense um and and those statistics are completely unachievable by the way for anybody

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listening you know if anybody advertises a 90% win rate you better watch out because that loss that they take is going to be absolutely uh ginormous so but this is one example of of how these furus work and so I posted a video just just blasting him and showing all the different fake pieces of his videos and how you can identify it because the end of the day I don't want people to get scammed but it's just unfortunate you comment on their video and they init they immediately uh like delete your comment and block you and whatnot it's just like yeah it's not even worth the effort to get mad about it anymore I'm just

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going to go do my own thing and it's it's sad but it is what it is yeah I know but I mean it's also like I've seen these guys I think they create multiple Google accounts and they just comment on their own videos supporting and say oh how do I get in your room like it's just like pretty it's pretty disgusting but and I've also learned from personal experience like I remember when I was trading more actively I I I remember one August like in 2020 had like all green days in a row each for ,000 $2,000 and I thought I'm a I'm a tall God me I'm a crack trading what I didn't realize

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is that um if you average up on everything you're down on when you Shen one day you're going to take a massive loss that's what happened and I took like a $30,000 loss one day and it's that's the lesson like some people can be being honest like I was being honest but I just me strategy wasn't sustainable so it's yeah makes sense um in terms of trading advice for new Traders how does a new Trader find a strategy that matches their personality and the way that you found a strategy that much as yours yours yours H yeah it's that's a good question I mean I think you have to be honest about who you are

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like what your personality traits are uh what your strengths and weaknesses are um you know are you somebody who wants to be sitting in front of the the screen all day clicking buttons um like personally I enjoy that I I like that active trading style but a lot of others probably don't you know they want to place their trades they want to go uh trade for the first hour and a half and they want to go enjoy the rest of their day um you know are you somebody who after you you buy and you're you're in the money are you somebody who's like it's you to take that profit or are you someone who's pretty

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chill you're like okay if it comes back on me that's okay I'm gonna let this thing ride right for me personally I want to take that profit if I see green I want it in my pocket I want to put it in the bank so you know that's another example of just a personality trait and then what are your what are your what are your triggers you know what what's going to make you uh angry you know a trade coming back on you and then getting stopped at a break even is that gonna set you off well then you better like take your profits quick and realize that about yourself um are you one that

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you can't handle taking a bunch of losses over and over and over again well then maybe you should uh air towards like a higher win rate rate rate strategy um yeah so many so many different uh you know tweaks that you could make to adjust to your personality and at the end of the day like you're first starting out I think it's going to be tough to figure out exactly what your personality is I mean again you can be open and a with yourself but until you get in the weeds and you try a bunch of different stuff it's probably going to be difficult so I'd say at least when you're starting out um and

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this gets into like recommendations for for you know traders who are who are just beginning but you know I would trade with very small size because you need to build up that that database of statistics and I would try as much stuff as possible like literally just try to lose money but figure out you know you're going to build a database of Trades and you're going to figure out where was I successful where wasn't I successful why wasn't I successful and you'll trim the fat eventually but you need to build that database first and anybody who says okay I've had success after a month and now I'm going to scale up it's like okay it's

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just too quick you don't have that database of Trades uh yet and you're also going to be combating combating combating different Market environments you might have a market environment where it's great for like longing stocks and that's what we've seen in the past month where at with this GameStop and uh AMC stuff you know this Resurgence through roaring kitty it's been amazing for Longs and it's been horrific for shorts but that has shifted on a dime and now it's the exact opposite so you really have to go through the cycles and and just let it play out get record that data and then you can feel really confident about uh scaling up so I know

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I went went on a little tangent there but uh yeah it's it's not easy to find a strategy that matches your personality and it's going to take a while so just be patient with it and I mean in terms of your it was interesting what you said about it depends whether you can handle the loss coming back on yourself and as to what strategy you would trade so in terms of your strategy because it's so quick if it doesn't work the minute you go into a Traer you're out or yeah exactly that's exactly right so with um I think it's probably similar with all hypers scalpers the signals that you get on the level two

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you expect to happen to play out right away and me personally I find it easier to predict what's going to happen in the next five seconds than what's going to happen in the next five minutes so when I see something on the level two I mean I know in my mind okay I've seen this you know a thousand times I know that when I buy here this should happen it should go right away there should be no you know waiting around or whatnot if not then I'm just going to get out and I'm going to try to get out for like break even or a small loss and that's part of the risk management you

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keep the loser small and then when it does work you know that okay it has it has a series of things it could do it could go you know parabolic momentum up and do a halt you know we could just trade up and kind of stall out you know but there's different rules for taking profits too uh because the level the exit will be based on level two signals as well yeah I I I a guy that likes to uh to to just to accumulate on the bit or are you a guy that likes to uh slap the askk with a little bit of size when you oh I'm slapper the ask you're slapping the

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askk yeah I'm not again because like when I see something it needs to happen right away so it's too much time if I just go sit on the bid you know I'm probably not getting filled I'd say 90% of the time it's just going to do the thing without me so I got to be aggressive but I suppose if you're slapping on the ask you kind of supporting your own trade idea because you you expecting the momentum to coming you slapping that ask with some size to try and push that momentum through and carry carry your own trade philosophy through no absolutely and I'm I'm sure that there's a lot of other hyros scopers that

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are taking the same trade that I am that are that are pushing the trade along no and that's what you need to do you need to support your own idea and support it with size right um and in terms of is there any advice that you wish that you'd received uh that you could give to someone else today today today yeah so this is this is a tough one because I'm a very Brute Force guy it's tough for me to like take advice from somebody or see something and and then just immediately take it as fact I need to go through the motions uh and see it a bunch of times to really believe it

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and then trust in it and put my money behind it would not the the one thing that changed and I talked about this earlier was when I saw somebody who traded live you know I saw the entries the exits I saw the winners the losers how they manage risk when they traded why they traded uh it wasn't just oh I do this because of this and like a cherry-picked example it was it was just the raw data and that's what I needed and needed and needed and so I don't want to like get on here and like promote a course or anything but I think if you are going to take a course I think

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the most valuable thing you can get is like the raw trading archives so uh I know like for hypers scalpers I know there's one called mmu and then there's one I think the guy's name's the trading farmer or whatever and they live stream their trades and like again I don't I don't even know why they do this like you're just giving away so much Edge it's Edge it's Edge it's unbelievable when you show exactly what you're you're you're doing then it's just it's always like you know the the courses are expensive but to be able I mean these guys are making thousands of dollars a day I mean if you can replicate what they do

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and they're showing you exactly how to do it uh I mean it's it's worth it and I don't have any affiliation with these guys by the way I do know them like uh I'm in one of their discords or whatnot but um I don't have a close relationship with any of these guys but I'd say you know early on finding that would have helped me the most just because that's the way I learn I want to see the raw data and make my own decisions and to see someone else who's doing it successfully uh it just makes me trust them a lot a lot quicker quicker quicker um that's that's the one thing I would

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say I just say one more thing which is I would keep the size the same for for months Andor years because like I said before you're going to go through different Cycles you know and even maybe just your personal life you know you might go through a rough patch in your in your personal life where your emotions are taking a heavier toll and you're trading differently uh and you need to just see how that's going to affect you you need to see how all these things are going to affect you and uh and be prepared for it that makes 100% sense to me uh and I think it's very wise words we we're about to

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close out just with a message uh a final message from the sponsor but I just wanted to give you a final opportunity if there's any shoutouts to anyone you want to give or to any services or rooms or any Golden Nugget of information you'd like to share the space is uh yours and thanks so much for having you for for coming on sure absolutely um yeah I'll say if you want to reach out to me or find me I'm on uh Twitter not Super Active on there but uh I do Post every once in a while um and that's under dip Traders and I also built a a scanner for myself because when I started

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back in 2021 there it didn't there wasn't a scanner that I could find but outside of trade ideas but that was like $150 a month or something like that uh that that that really focused on that that super short time frame that I needed so I built a scanner for myself and and on the dip Traders website I also sell a subscription to that so um yeah and and I've been doing that for three years that's that's what I use every day to find the stocks that I trade um and then as far as like just golden nuggets or you know some some words of wisdom to close things out I just say uh if

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you're going to do this have a really strong why because it's it's just gonna it's just such a difficult game you know you're gonna you're going to take a lot of L's and it's going to take a lot of time you know to dedicate the amount of hours that it that it takes to be successful in this business you have to have a a strong reason to keep going uh and for me that was I want to be able to support my family I don't want to work a ninetto five for the rest of my life and and when I have kids I want to be around to to hang out with them I want

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to have uh freedom to work when I want um and then and then Financial Freedom as well so like that was my why and every time I got knocked down I'm just coming back to that why like okay we got to keep going we got to pick ourselves up it's gonna happen um so that's that's my biggest piece of advice for for anybody who who hasn't quite got there yet but but is uh on the on the path and that's a beautiful uh beautiful way to close out we'll say thank you so much Brandon for coming on thanks to the sponsors we're going to close out with this message thank you so much for watching

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and I just do want to remind you one more time about Cobra's ultimate Trader package CRA Prime the link is in the description click it below I'll see you on the next one

S15 | Ep. 7 Of Transparent Traders: He LOST IT ALL Then Made $1.1MILLION | Complete normalized text

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Ep. 7 Of Transparent Traders: He LOST IT ALL Then Made $1.1MILLION

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📅 Uploaded: 2024-08-16

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⏱️ Duration: 0:51:33

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👁️ Views: 1,712 (Rank #1 of 1)

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💬 Comments: 9

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📼 Playlist Progress: 1:43:06 of 0:51:33 (200.0%)

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👉 About Stockwonk: https://stockwonk.com/

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👉 Check Stockwonk's trading performance on kinfo: https://kinfo.com/portfolio/14851/performance

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👉 Gain access and discounts to leading trading tools with COBRA PRIME: https://www.cobratrading.com/prime/

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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In this episode we’re joined by James (Stockwonk) for an insightful conversation on mastering the mindset and strategies that can lead to trading success. James shares his experiences, from the hard lessons learned during market downturns to the strategies he developed to bounce back and achieve consistent profits.

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We discuss the importance of discipline, how to manage risk, and the key moments that shaped James' journey to becoming a successful trader. Whether you’re new to trading or looking to refine your approach, this episode is packed with real-world advice and actionable tips that can help you on your own path.

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🌟 What You'll Learn:

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- Avoiding Common Pitfalls: Understanding common mistakes can help traders improve their performance.

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- Routine Building: Establishing a solid trading routine enhances consistency and discipline.

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- The Power of Community: Engaging with other traders can provide support and valuable insights.

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- Adapting to Market Changes: Flexibility and adaptability are key traits for long-term success.

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- Embracing Failure: Learning from failures is part of the growth process in trading.

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🔑 Key Takeaways:

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- A positive and focused mindset is essential for trading success.

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- Effective risk management can help increase profitability.

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- Psychological resilience is crucial for navigating market volatility.

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- Learning how to spot trading opportunities can lead to significant profits.

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- The trading landscape is always changing, so continuous education is vital.

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#TransparentTraders #TradingStrategies #FinancialFreedom #Investing #TradingTips #TradingPsychology #ProfitGoals #TradingSuccess #MillionDollarMindset

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CHAPTERS:

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00:00 - Introduction to Trading Success

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02:15 - The Mindset of a Successful Trader

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06:45 - Key Strategies for Risk Management

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12:30 - The Importance of Trading Psychology

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18:10 - How to Identify Profitable Trading Opportunities

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24:00 - Insights from Top Traders

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30:20 - Common Mistakes and How to Avoid Them

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35:45 - Building Your Trading Routine

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45:15 - Final Thoughts and Takeaways

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🔗 Follow kinfo: https://x.com/Kinfo

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🔗 Follow Cobra: https://x.com/cobra_trading

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Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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today we welcome James A lot of times I'll be up at you know anywhere from 4:00 to 4:30 a.m. so actually sits 11th in 11th place on Kino's alltime leaderboard with 1.1 million in verified profits short sellers are the only people who are incentivized in real time to root out fraud a favorite pumper I know biggest stock pumper in the market right now is Elon mask yeah welcome back everybody today we welcome James AKA a stock wonk who actually sits 11th in 11th place on Kino's alltime leaderboard with 1.1 million in verified profits as always we're going to jump into is trading strategies industry transparency and some top tips for new Traders just a very

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quick reminder you can get King for pro and pro Plus for free for your first month you just need to log in and click upgrade to access the advanced reports and analytics now James how are you how's trading how's life uh it's good uh it's just uh you know it's um kind of busy for me I've got two kids and stuff and it's summertime so kids are home from school and uh you know got got a lot going on I thought that trading was meant to be uh free and up freeing up time so you went CH the yeah what does it is helpful Le me being on the west coast it's like the the

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downfall is I have to wake up so early but uh I mean a lot of times um I do most of my trades in in the morning anyway so you know by the time the kids are awake and stuff I'm already kind of partway done with the day anyway so now we're just talking about a little bit earlier off off air so you're in the west coast you're in Seattle so it's the home of Nana home of pjam home of the grunge home of Starbucks but it also mean it's the home of uh 4 a.m. 4 a.m. Market opens or 5 a.m. Market opens is that right yeah 4 4 AM is kind of the

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is usually I'll have my I've been kind of lazy lately I've been taking a little break lately anyway but uh but yeah I mean for you know a lot of times I'll be up at you know anywhere from 4 to 4:30 a.m. you know so I can do because I have a lot of pre-market strategies that I've been working on and developing and and uh yeah if I want to trade pre-market I have to I have to be up at those times so does it get any easier after a while I've gotten up at the same time for a couple of years or yeah it's it's not too bad I mean you kind of get

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used to it uh I used to not I've never been a coffee person but but when I started doing that I did become an energy drink person so person so person so like so like my fridge is usually stocked with energy drinks yeah makes makes full sense ah they're they're terrible for you but they're good for you when you need them right yeah yeah um so so from no sugar I you do least the sugar-free ones you know so ah me too just the CAE it's just the big dose of caffeine that I'm getting um from November 2020 to around March 2021 you made almost a million dollars in 5 months according to Kino what

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the hell happened there I I think it was just one of those times where it was the perfect meld of strategies that I had been working on and market conditions where it's just like once and when your account starts to to to compound it just it goes crazy like like it was just unbelievable especially remember January of 2021 like like I was trading a lot of gappers like shorting big gappers and stuff and you know it used to be like you know you might get you know two or three gappers a week maybe you know but now we were getting like four or five gappers a day like it was just unreal to me me

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me and and I just took full advantage of it you know it's like the like it it just worked really well with strategies I've been working on and uh and so yeah I just took advantage of it and my my account compounded like crazy uh during that time so so you shorten those gapas you shorten the the gapas of short the gappers like you know uh you know because a lot of them would turn into all day faders and and you know you could short sometime in the morning I mean obviously you'd have to you know you'd have to have the right timing and stuff and then then they would fade most of the day

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and and you get big multi trades out of out of them and then when you were getting multiple gaers it was just it it was pretty it was pretty unbelievable uh especially that January and February like well I know in 2021 I made almost all my money in 2021 literally in the first three months of that year like it was just uh it was just unbelievable it's absolutely crazy how that works though right but what I what I found as well because I was a massive massive uh proponent of shorten the gabas as well and what I found is when this so many stocks gapping up there's just not enough demand coming in to sustain

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every one of these stocks that gaps up so naturally the more that Gap up the more that are likely to fail and obviously we're all trading with common sense say well that's got dilution that doesn't have much volume and that one's got the best news story so let's leave the one with the best news story in the lowest FL and let's go after these four and like out of 10 it would work I mean is it similar for you or yeah it was kind of similar for me you know um uh I I will say it's obvious though things have changed now um not only we're not getting as many gappers but the nature of

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the gappers has changed so back then you know 2021 a lot of the of the of the gappers they were still fairly I would say they weren't like ultra low float like like you'd still have gappers that would have you know six seven million shares in the flow which is you know low but not extremely low you know um and you were also getting a lot of gappers that still had double digit floats and um and so I just think the the probability of them fading uh was just a lot higher um but what I've noticed is you know market conditions have changed so what what happened is you know then when you got kind

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of got the bare Market of of of 2022 I I remember I saw a stat that um in 2021 there were almost no NASDAQ stocks trading under $1 per share which was just un un believable like like it was just amazing like nothing was you know so what happened 2022 well that was no longer the case a lot of penny stocks fell below $1 per share well if you're on the NASDAQ you've got that minimum bid requirement of I think it's $1 per share and so now what you've had is a lot of those uh small cap or micro cap stocks have done a lot of reverse splits and so now we got a lot

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of like now a lot of the gappers you're seeing are these really ultra low float stocks um we're talking 1 million shares in the float sometimes less than a million shares in the float and stuff and those are actually a lot trickier to short on a gapper like they uh I mean I used to have rules in 2021 that I wouldn't even wouldn't even wouldn't even short a gapper that had a market cap less than 15 million um while the problem is now is a lot of the gappers have market caps of less than 15 million right and so so um so I've had to work on other strategies now um because you know what

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I did back in 2021 it's not that it still doesn't work it's just that there aren't many stocks now that fit that criteria that I have anymore like it's just the gapers are very different now and so I've had to work I've had to spend really the past couple years working on new strategies which takes a lot of time I mean that was the other nice thing about 2021 2020 there were so many gappers I was able to gather all this data like a ton of data on gappers but now that there's not as many many many gappers um I've had to work on new strategies and being that a lot of the strategies that

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I've been working on I would call lower frequency strategies they don't PR present a lot of trade opportunities every month it takes a long time to to get enough data for me to really hone in On A good rule set that where I think I'm going to have a good Edge and so um so I've you know that's why you know I made all that money 2020 2021 and then I kind of fell off and you know the past few years haven't been that good for you know actually last year was a red Year from my first red year in a long time um uh and this year on green but not by a you

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know only by you know not by a whole lot I actually was off to a great start in February again because of gappers there were a bunch of gappers in February for some reason and then uh but then I I I went through a slow bleed because when you're working on new strategy when you don't quite have enough of a sample um what happens is as you gather more data you keep discovering weaknesses or problems in the strategies so it's been a lot of uh um owning and refining my strategies right now um which I'm okay with because I'm kind of playing the long game right you know I'm uh you know I'm I'm you

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know going to be a Trader for the next 10 15 years and so I don't mind spending a year or two just working on strategies that I know um because I want to be able to trade a variety of market conditions like I said I I can't just rely on the gapper strategies I had from 2021 I need to um and I don't want to just be a short guy guy that shorts all the time either which is what I was and so I've been working on a lot of long strategies um which I'm finally starting to fine-tune and and get down but uh but it's taken some time to for me to develop a

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lot of the new stuff so uh 100,000 million per understand where you're coming from because it took me three or four years to find the Gap strategy and it was kind of obvious right because it had such high frequency and then and then now kind of doesn't work anymore cuz the market conditions have shifted I'm like I just got stubborn and stck and didn't shift then I started losing money because I didn't shift and then I just started thinking I don't want to wait another three years to find another pattern but we're going to jump back into this I'm just conscious we're going to jump quickly into a quick uh break from one of our

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sponsors today and then we'll jump straight back into this release your trading potential with Cobra Prime Cobra trading has released the ultimate Trader package crafted through strategic Partnerships with top businesses and software innovators you can now gain access and discounts to Leading trading tools from Advanced analytics and charting systems to trading platforms with over 15 partners and growing Cobra frame lets you customize the Perfect Trading package for your needs the more you trade the more points you can earn to unlock additional trading tools click the link in our YouTube description and sign up to COBRA Prime to elevate your trading experience okay we are back and I just want to say the most challenging thing

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for me is to find that next pattern and you're treating like a long game you're prepared to do the three and four five years again I mean my next question for you was to ask you what separates you from the the other 95% of traders that fail because I think we're touching on it here yeah I I think it's it's it's I think it's multiple things number one one one um I I I think is you you have to remember you do have to play the long game it can be especially when you're trading well it can be really easy to get caught up in the gains you're making and like I think too many

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Traders and this is a mistake I made back in 20 th you know my first round as being a full-time Trader was back 2013 2014 um I was again one of the top Traders on a um what was it profit Lee at the time yeah you know this was before kinfo and stuff um it was a similar thing I was I was doing great uh you know I I was making great gains but the mistake I made back then is I wasn't paying myself I wasn't regularly pulling money out of my accounts um and because you know my my attitude at the time was like well I'm making so much better percentage gains than I

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would in a savings account or you know in a in a long-term investment account why would I take that money out right you can't have that attitude because you never know when market conditions and markting conditions will change you never know when uh you can make like a catastrophic mental mistake where you lose a bunch of money because you do something stupid right um so you should always be taking money out like out of your trading accounts all the time um especially if you're not trading well I mean but even when you're trading well you should be taking money out you should be paying yourself and taking that money putting it somewhere safe savings long-term

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Investments whatever um and that's what's going to allow you to get through the hard times where things slow down because I guarantee you nearly all Traders will experience a slow down or a big draw down at some point like like you will it's it's practically guaranteed and if you prepare yourself for that by not getting overconfident and putting money away which I was smart this time all that money I made 2021 2020 I kept most of that money because I pulled a lot of the money out nice like actually the account I'm trading with now is very very small relative to what I was trading then because I haven't been training as well so I'm

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just like I would rather risk small amounts of money and get my make sure that I'm getting my consistency down I can always put money back in the account once I'm you know trading well uh or or trading consistently um because here's the deal like I I mean I know you've got the pattern day trader rule but let's just ignore that for an instant um or or let's say you actually just not ignore it let's say you've got a $30,000 account and you're not trading well well adding another $30,000 to your account is not going to make you trade any better right it's not like if you're not making money on that $30,000 account you're

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not going to make money on a $60,000 account so um uh so you should be trading consistently well um before you actually like either put more money in or increase your size or or whatever and and if you're an experienced Trader or whatever or even if you're a beginning Trader if you're not trading well that also means if you're not trading well you know cut cutting your size down reducing your size again you got to be thinking the long game like thinking that hey I want to be doing this for the next decade um and if you lose all your money you won't be doing that that that so did you have a catastrophic blow

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up you were mentioning that you were kind of you you clicked with trading before making money but then you I think you said you had a big blowup yeah so back in uh so I was trading really well 2013 2014 all the way through summer of 2014 and then I think it was October 2014 um God what were the stock there were these two stocks uh that that made these huge runs that I tried shorting and I just made the worst mistake you can make in shorting I I didn't really have a I kind of had more of a mental stop and then I added to my short and it just kept squeezing against me

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um I can't remember the ticker symbols now um I'd have to go back and look at my notes or whatever but uh uh yeah so I I remember I think I lost like 50% of my trading account in like one day and I still had money to trade with after that but but the problem I had at the time was I had given up my other sources of income at the time and so so now I was stuck in a situation where I have to make money trading but now I've lost half of my trading account and I have no other sources of income you know um and so that was another mistake that I

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made and then that's a recommendation I have to other Traders out there you have other sources of income I know the idea of being a full-time Trader and doing nothing but trading sounds really sexy and awesome but it's really not it's like um it's much easier to make money trading when you don't have to make money trading like um even if you just have a nominal income from some other you know side gig or side job I guarantee you you're trading will be better because then you're not under the pressure to have to make money trading because it it really messes you up psychologically when you're suddenly you know when you're literally dependent on making

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money trading like it's just uh it's it's a tough tough gig to just do uh full-time so 100% understand 100% agree and I mean that was like 2014 so you've just made like You' just hit a million around 2020 2021 so where where did the six years go where just like F this like or was it did you P or yeah well I I I kept trying I kept trying to trade through 2015 but I just kept bleeding more and more money and I find it was just out of money um and it really psychologically after that big bullup I was just not in the spot I I should have stopped trading then because mentally

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I just wasn't in the right frame of mind to trade anymore um uh so what I did was 2016 2017 I spent uh really a couple years uh I worked on my other businesses you know building my income and my other businesses um but I still paper traded during the time so I would just paper trade uh work on my strategies with the idea in the back of my head you know if I can show consistency paper trading and once I've built my other businesses up and I've got enough income I can you know open a new trading account and go from there um so yeah I spent you know probably a good couple years

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paper trading before I reopened a small actually was you know like we're just talking about before you started this a shirt Trader account I remember I opened a small shirt Trader account around 2018 2018 2018 um was doing okay with the Shir Trader account um and then I had enough capital I didn't have enough Capital to be over the pattern day trader rule but um I was able to split my money between three different Brokers I think it was interactive brokers and then um I was able to get an account directly through vision Financial at the time uh so I was able to get decent borrows through them then I think I had a third

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broker I don't remember who they were um so I at least got nine day trades per week you know because I was under the pattern day trader Rule and then uh so I just started to work my way from there and that two years of paper trading and just working on strategies really helped me because it set me up for suddenly you know doing 20 9 my account grew nicely I was now over the pattern day trader rule then I hit 2020 and then things obviously really started to accelerate in 20120 So yeah so really I mean if you think about it th those good you know that 2020 2021 was really set up by

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spending a lot of time in previous years just you know working on strategies and paper trading and you know um worrying for my past mistakes so a couple things that come immediately to mind the first thing is I mean can you say how much you lost on that on that loss when you lost in 2014 and how much you made because you made a lot and then you give it back right so it's not like you lost yeah I was like where was I at I mean it's been like 10 years now so I it's like I remember I wrote a blog post about it um I I I I want to say that I

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lost something like something like something like around 80,000 around 80,000 around 80,000 in one day or something like that um I I I don't remember the exact number maybe it was 50 thou it was like anywhere from $ 50 to $80,000 in a day and so yeah it was just uh n look it was tough I know exactly how you feel because I did they I've had a similar path to you um in 18 and 19 with The Gap crop strategy as well 189 was golden golden for The Gap crops in 20 um at a similar thing I turned $600 and over 100,000 I got right over the 100,000 ,000 Mark I got to like

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103,000 but I was doing a bunch of dumb and like I was sh AMC and it was at the time when it was squeezed really I was get get I was getting lucky because like bad news came out about Ryan Cohen or whoever it was and I was getting lucky um and then I lost um 30 something thousand in one day on a cobra account as well and I was just like dude that was that was tough day to lose 30,000 if you lost more than that it's you just sit there and think what the hell just happened know yeah yeah oh yeah that's the thing it's just like yeah it it's it's hard to

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mentally recover from that um the interesting is now is like I'm actually um really good now at obeying stop losses and things like that um you know uh I'm I'm really good at not you know losing a massive amount on one trade uh how how how how did you fix it cuz you had Terri you had bad discipline right you obviously had bad discipline because you added to I think it's just learning the hard way right it's just you know you lose you lose you know those times where you don't obey stop losses and you lose a huge amount you know um I mean even where I was trading well like 2021 um although this

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was a little bit of a different situation but again you know i' done so well shorting gappers and then I think it was end of May I remember shorting this one gapper I don't remember the ticker the ticker will started with a V but I don't remember exactly I remember I I I shorted the gapper and it kind of faded a little bit into the market closed so I decided to hold the short overnight yeah and then the next day I remember waking up the next morning and it gapped up way above the original Gap yeah and I think I lost something like almost 100 Grand on that one trade um uh you know of

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course i' done so well that year it it's still you know it it didn't hurt me as much as obviously in the past but still it's like um so it's just those things that have caused me to change my rule sets now I'm actually very care it's not that I won't hold shorts overnight I will but I'm very very selective about what I've hold short overnight and what my size is and like all that stuff you know it's all just been from hard lessons I've learned over the years um and so now it's like yeah I don't I'm really good at obeying stop losses and stuff uh um for me now the the challenge has

S15-P0083 original line 57, characters 65262:67110
been like I said is just getting enough data on on all the because I'm wor I swear I've been working on probably 20 to 30 different trading strategies all at the same time and so gathering enough data on each one of these these these strategies um I'm good at following the rules on the strategy but the other thing is is because you know obviously I'm looking sort for certain types of patterns um but the market hasn't interesting way of um like I said either revealing a a weakness in the strategy that you're developing right um or um I'll be faced with situations where I'll be presented with a it it's kind of the pattern that

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I'm looking for but it's kind of like it's kind of on edge like yeah I know like does it fit the pattern does it not fit the pattern and it it's it's uh it's it makes it hard to uh you know it's like it's one of those things where where I'm trying to find the right balance between not having a strategy so General that that you kind of lose your Edge but not overfit the strategy to the point where it's not a tradeable strategy right and so um that takes a lot of work and and a lot of just observing things over and over and over again you know so what's the hours that you're

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putting in that say on a day to track all of these strategies oh jeez I mean uh it varies but I mean I could spend several hours each day you know especially on the soul Market days I'll spend time just um in fact recently what I've been doing um I discovered a new site called Edge to trade ah yeah I know it's yeah and and they have some nice historical data that you can get especially on gappers um and so I've been taking some of the strategies that I've been working on and then basically doing a lot of out of sample testing like going back to you know 2017 2018 2019 uh you know just

S15-P0086 original line 57, characters 70663:72303
making sure like are the strategies that I do now are they what do they have worked back then and you know I'm gathering enough sample and and and um um and I feel like now I'm f um I've actually taken a break over the past few weeks uh just and just started paper trading again because I just feel like I want to get I I feel like I'm close on most of my strategies but I think um you know and I'm heading to UK in a few weeks anyway so it's like I'm not going to trade when I'm over there so um I thought you know why why not take a month off or so

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um and then when I come back I'll I'll kind of hit it again with real money but uh um but yeah it's just one of those things where that's the other thing about trading it's a long game because you have [Music] [Music] [Music] to there's no way around the work right like you know people see trading and they all they think about is like you making all this money in a short period of time but you don't realize like the amount of work that has to go into like like learning like you just you have to constantly watch the market every day like you have to constantly watch how these stocks work and like you

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know um and if you watch them working enough you will start to see patterns that start to repeat themselves and you'll just be like oh wait I've seen that before oh I've seen that before oh I think I could develop a strategy there you know and that's really how a lot of the strategies I've been working on um like I said I've been I used to like short a lot I've been working on Long strategies because because because like you know I think about all the other times where I got caught in short squeezes where I shorted something too early or whatever and I would think God that would have been a great long right

S15-P0089 original line 57, characters 75906:77806
yeah I was like there's there's got to be a way to to identify those potential short squeezes that's something I've been working on a lot lately and I I feel like I'm starting to get some some strategies and some patterns down cuz like the best alongs are the ones where you can actually get in on a short squeeze you know 100% no but it's funny because the way you describe it it makes me think of um there's I suppose there's some element of luck and trading in the fact of finding the strategies obviously some people are better finding strategy strategies than other some people having more than natural eye for it but there's also an

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element of look of are you going to put your sped in that area where there's going to be gold underneath because there's a million different things that you could try but it's catching the right one at the right time to a degree yeah yeah yeah um I'm just going to ask you a few questions about transparency and furus because obviously K was a top it it verifies the top transparent Trader so I was curious to know when to blog you referred to yourself as an evil short seller now what I wanted to ask you is are the short sellers really the evil people in the market or are the furus and Pumpers the true evil

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in the market I would say it's the the Pumpers it's hard to be a short seller like like I I love how people like want to blame short sellers for every negative thing that happens to a stock but it's like I don't think these people who say that understand how hard it is to be a short seller I mean God like Jim channels probably one of the greatest short sellers of all time basically had to close his fund right I mean one of the best investigative forensic short sellers that you know I mean he's one of the guys that helped you know uncover Enron right um and all the scandals and and uh accounting fraud

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and stuff going on with them um and it's just like the problem is we're in a market now where you know some people have heard this it seems like fraud generates Alpha it's just like you got all these companies that are literally kind of getting away with fraud and Broad open daylight makes it hard to be a short seller because if you're the if you're the type that and this is what Jim chano said time uh which you know the problem with the markets is that no one short sellers are the only people who are incentivized in real time to root out fraud right like yeah that's like like where's the incent like there's tons

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of incentive for people to pump stocks right I mean there's all this incentive and uh um but you know like where's the incentive for people to to root out fraud in a company like you know there's you know the only people who do that are investigative journalists and there's not that many um or short Sellers and uh um so it's just like short sellers are kind of the the one of the only police in the stock market right you know and and uh um you know you need them you really need them because you need those people that are going to like expose fraud and Scandal and and stuff like that you know um uh

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because there's there's a lot of it you know in the markets and I I always I always say that if if Enron were to happen today I think they'd get away with it it's getting worse not better but I think um the quote that you've just just just said um short sellers need to be the police of the market I mean I think that's it's an unbel I don't know if you've heard that from somewhere or if you've just kinded that but it's an unbelievable quote because people say that short selling is is it's unamerican to bet on things to go down but it's like it's UNAM in a crazy Mar full of fraud to

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not let anyone do anything about it yeah yeah I know it's like you know it's just like people just it it's it's amazing what people will forgive as long as their number go up right like it's just like people don't people don't care about fraud or whatever as long as number and and you even see that with with The Regulators right is a lot of times The Regulators don't do their job until after a stock has collapsed whatever then they come in say oh look at you know then they'll come in and do something about it but they won't do anything about the fraud if you know uh you know when when the Stock's going

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up it's only after it's you know eventually collapsed but I think I remember that HKD was it HKD was one of the craziest Chinese tickers that I've ever saw went from oh yeah three to 10 three to a thousand whatever it went to I just think how is that possible and then Zach I saw Zach marus got he was he was like SEC organization one year later nothing happened he's he's like I no it's like like but do you have a favorite pumper a favorite pumper I don't know I I haven't been tracking the Pumpers lately um I don't know I I feel like I feel like the biggest stock pumper in the market right

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now is Elon Musk yeah I me I mean well I mean you even just saw it today like like well you saw it in the past month like like basically the stock was collapsing everything was going bad and so you know they was it Bloomberg or Rutters came out with the report that they weren't going to have a model two or whatever the stocks is going down suddenly Elon comes out hey we're gonna do this Robo taxi reveal on August 8th remember this yeah completely stops the stock from going down now the stock is skyrocketed on nothing and then fin finally today it comes out that oh no just kidding we're not going to do

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a robotx you reveal in August it he totally pulled it out of his ass right it's to I mean it's so just blatantly obvious fraud and stock pumping um and and we're talking like a a a a stock that is you know trading for hundreds of billions of dollars in market cap like it's just like like I mean I mean you know people talk about gamestock and a GameStop and AMC you know being the mem stocks you know but I mean really Tesla I would say is the original meme stock because it still trades like a meme stock and it's like you know it does I would he's the biggest he's the biggest stock pumper

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you know out there right now like like like literally actually someone had a funny meme like you know the whole astronaut holding the gun at the other astronaut in front of the earth and it's like I saw a meme where the astronaut was like wait so the stock has been the product the whole time talking about Tesla he goes always has been like now but um it's I mean we were I was actually long Tesla for a while we just sold it we just sold most of it as as along with me fiance we we took like 80% in a couple of months I mean it's literally a meme stock but it's got some it's

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got some fundamentals under it so it's like a me it's like a meme stock like plus table mem stock cuz it's actually not not piece of it's like it's a real company but it's a meme stock it's like it's a good long but but um in terms of kin4 you're on kin you've elected to be on kin 4 you're on the leaderboard what was what was your motivation to to be transparent to be on K for to decide to display your information um I did just because Traders are notorious for like I mean most Traders are just full of like like you know most Traders like they they'll post their their gains but not their

S15-P0101 original line 57, characters 97629:99412
losses um they'll fake stuff you know they'll post fake numbers like you know um you know if you were to go on social media it gives you a very misleading perspective on how successful Traders are um like it it's not really you're not getting a realistic view of how difficult trading is uh and for me it's like um like I've just always been a real guy like like I just like I want people to understand hey trading is hard like and here here's that my UPS and my Downs right like you know I've done well but I've also struggled at times you know um and and I just want to give people real information like

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like hey trading's hard you can make a lot of money from it but you can also lose a lot um and it's you got to be in it for the long game it's a lot of hard work you may actually put more work into it than a full-time job you know I mean you know it sounds really sexy but you know there's a lot of you know and and um but there's a lot of you know downfalls to it too and and I just you know um kind of want people that just have a realistic uh or or just to know that hey you know I mean this is what uh um you know I'm

S15-P0103 original line 57, characters 100975:102815
not hiding anything right you know I'm not you know yeah you can see my gains but you know you can see my losses too you know so like to tell you the truth I've I've worked in advertising for 10 years more like 14 15 years I've worked in advertising and I've worked across a lot of different Industries and then obviously because I'm a Trader I thought oh why don't I do marketing and advertising in this industry as well and like it's such an ethical conundrum for us because it's like I'm looking on YouTube and I'm looking at okay so if I work for some companies what is going to get someone the most views on

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YouTube is a thumbnail or a tagline or a headline and it's like all of it is like do this million dooll strategy in three simple steps or um yeah the the easiest plan with an 80% win rate and I'm like it's a moral dilemma for me because I'm like I want the clients to do well but I I physically can't physically can't put that on YouTube because it's just lies do you know what I mean it's misinformation yeah oh oh totally and I feel the same issue so you know basically my other industry I work on is is in the fitness industry and the the fitness industry is very similar it's just full of right

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like people Pro promising oh you'll gain all this muscle in so many days or lose all this fat in so many days and like um and all this just snake oil and it's just a similar thing but that's the stuff that that sells right that's the stuff that sells and that like and there's a lot of people that take advantage of it and and I just I won't you know it's like um you know I mean could I make way more money in the fitness industry I had you know given my background as a scientist I could probably come up with something that sounds remotely scientifically plausible but it's total but I could probably sell

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it and Market it and but but I just can't do that like I just I can't I just can't do that you know there's a lot a lot of people like kind who get ahead but I mean the only thing for me that I think is like okay I'm going to use that as the thumbnail and then the first thing you're going to see on the video whoever it is the client is this isn't this isn't this isn't actually true like oh do you know what I mean just to just to get them in and I'm sorry it's clickbait but I'm not lying sorry it's clickbait but at least I didn't lie so not we're

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very very aligned I mean just jumping back to trading in terms of I suppose a good question is if you could give yourself advice when you just started knowing what you know now what would it would it would it be um I I would say two things play the long game don't get caught up in the short you know um and then just pay yourself you know put money away and take constantly take money out and if you're not trading well just trade with less money or take a break and paper trade for a while um the Market's not going anywhere you know don't be in a rush to make money um you know um

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that that's what I would tell my my younger self you know are you are you always using hard stops or do you sometimes still use manal stops no I use all hard stops now like it's always like I literally um put in as soon as I put in order I I put in a stop loss you know a stop order and uh you know um you know thing that sucks about stop Wars yeah sometimes you get some slippage and stuff but you know what it's like you know that's my trading plan and you got to stick to it right you know I mean um there's there are way too many times where I wish I

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had obeyed a stoplock you know when I used to have mental stops and now now everything gets a hard stop now you know so when when was the last time you used a mental stop oh it's been years now really you've never slipped never slipped never just yeah I I don't use I yeah no I don't use uh well the only exception is I I don't do many long-term shorts uh but like for example I have a small long-term short on Tesla and with this recent run I'm a little under water on it and I had a stop a little lower than where it is now but my position size is so small um and

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I haven't added to it um and I also have a bunch of puts where it's just like you know the worst that can happen with a put option is it just expires worthless so it's like uh um and I have those kind of spread out at different strike prices and different uh different expiration dates so so that's a case where yeah I mean that's where I have more of a mental stop but my position size pretty small anyway um uh but as far as all my day trades and stuff like literally it's all like everything like I don't remember the last time I used a mental stop on a day trade like like um it's

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always just been um uh straight hard stops now sometimes I may move the stop a little bit like by like 5 cents or something if I feel like it's a little too tight or something like that um I'll move the hard stop I might give something a little bit more room you know or rather than risking one R maybe I'll risk one and a quarter R you know if I feel like oh I think there's some resistance in that area maybe I need to give it a little wiggle room and I'll do that um but but I still have a hard stop order in like you know so yeah that's that's that's impressive though it's

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impressive that you've learned from your loss and you you basically took a big loss it it ended things temporarily for you but you are humble enough to come back and think I'm not going to have no ego I'm not going to think I can run back into this but the size I used to have completely L humble no Eagle paper traded for years yeah and then thought okay I've got this again so I mean it's brilliant how you've how you've developed your discipline it gives me hope as a Trader that one day I might I might make the elusive comeback and uh when the market conditions are right um in terms of if it was

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a brand new Trader what what would you recommend the did uh to get started because I know you're doing crazy research with patterns and I guess it's stats right are you tracking thoughts and data yeah I just have tons of Excel spreadsheets like you know uh you know I'll notice just some pattern that I you know that I think I could take advantage of and then I just try to find a bunch of stocks that fit that pattern I'll keep an Excel spreadsheet of you know the date and the ticker and the flow and like all that stuff and try to see statistically if there's an edge there you know um uh I think for

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any beginner I just say you just got to like watch the market like like every day like just first kind of decide what you're interested in trading you know are you a small cap are you interested in large caps you know because they all kind of trade differently are you Forex you know whatever are you crypto I don't you know whatever you want to trade um you kind of just gota nothing beats just like just time in the market like just seeing things over and over and over again and watching how things develop because now that and get you know you can get ideas from other Traders but here's also what I want to say

S15-P0115 original line 57, characters 122120:123965
don't bother trying to follow another Trader what I mean is don't don't try to follow another Trader's trades it'll never work like like I have never had success trying to follow another Trader's trades like there's too much slippage a lot of times you just you quite you just don't have a firm understanding of what they're actually doing um now you can get ideas from from from them um but you have to take those ideas and make them your own which means you still got to put the time in the market you know um uh like like some of these Concepts you know shorting gappers uh shorting multi-day Runners you know you know the big parabolic

S15-P0116 original line 57, characters 123966:125701
you know Tim Sykes type squeezes you know um you know those Concepts have been around forever and they're still profitable to trade but you have to find it's up to you to to find the way that you can trade those things right and that's where the edge is like like you can't just short any gapper if it you know like it like just shorting gappers you know what does that mean like like how much of a gapper where do you put a stop loss you know you know like like you know uh you know what time of day do you short it at you know what type of pattern are you looking for um that's

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where the edge is and that's what takes the time to figure out you know no 100% agree and I think I think uh speaking to Hoodie uh on a earlier interview as well and he said the exact same thing I mean where I stopped is I found a part and learned the edge figured the exact time to short it based on say if a gap Gap if a gap out gap's up 50% and it's got this much volume probably the time that it's going to start to fail is like let's say 950 9:55 10:00 10:5 and it's probably going to go 16% from its open by the time it's looking to fail I had it

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I had it all down but when that stopped working I didn't think ah should I adjust my metrics to reflect the changes in the pattern I didn't do that yeah I just thought n these metrics have worked for two years they're not going to change because psychology doesn't change so the market shouldn't change but my naivity was that psychology does change in the market environment does change and exactly what you were saying before maybe it was a strong ball market so companies were naturally doing well and now it's a thing of scams are doing the reverse split or Subzero stocks or Sub Sub sub dollar stocks are doing splits and then they're pushing pushing pushing

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because they need to do dilution later and I just didn't accept that change yeah and that's that's the lesson for me it's you've always got to evaluate the the changes in the patterns and look for new patterns because your pattern might go away yeah yeah oh exactly yeah it's just like and that's the challenge you know um uh and I see what you're saying because yeah back 2017 2018 a lot of gappers just faded like right out of the open like a lot you could add out R you could add out out on those days not now yeah just I mean just recently I was kind of going back and just looking using Edge to

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trade I was looking at the charts of a lot of the gappers back then and yeah so many of them would just fade right away you know and that's just not the case anymore um really you know uh a lot of them don't fade while and you have some gappers that just stay up and hold up you know and and uh um uh and for me and some will still fade you know and for me it's it's um for me it's been trying to look at you know I like to look at Candlestick patterns and stuff like that like like what type of patterns uh still kind of give a good opportunity of a f

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fade and what other type of Opp patterns are like you know what there's probably not a good chance of a fader here you know uh maybe I should avoid it or whatever you know and and that that stuff is still there it just um um but it takes a lot more uh um it yeah you have it has to be it's a little bit more complicated um it can't be a a to totally simple strategy but at the same time like I said before you can't be so complicated that you overfit your strategy too so it's like you know and for people that don't understand what I mean by overfit um imagine you uh I'll

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just give you an example of either underfitting a strategy or overfitting so like underfitting something where there's probably no Edge you know what I'm going to to to buy any opening range Breakout with a stop at the the low of the breakout or whatever right super simple like can't get much simpler than that right well that's there's no Edge there I guarantee you if you run stats on that there's no Edge there it's you're not that's not going to be a winning strategy um so let's say then you're like okay I'm G to buy any opening range breakout when the RSI is between 90 or 80 and 90 and the moon is full and you

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know whatever like you have all these variables that have to fit right well that's overfitting a strategy because that's something like it's probably not repeatable right it's prob you know whatever pattern you're looking for has to be somewhat repeatable if you want to make money over time it can't be so specific that you only can find a few instances of that even happening right and so that that's what we call overfitting a strategy so and so it's it's a matter of finding that balance between not having enough variables that you're looking at where you have no Edge but but but also not having so many variables that you're looking at that it becomes too complicated

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and and untradeable and and just isn't going to work and so um there there's definitely a balance there that you have to find as a Trader and that takes some work you know no it makes us think uh keep it simple stupid but don't keep it too stupid it's kind it's kind of like that right yeah exactly yeah um we'll close out we've got a quick message uh from the sponsor but I just wanted to give you I thank you first of all for giving us your time especially being one of the top verified Traders for kall but also I just wanted to give you the opportunity to see any final message any any shout

S15-P0125 original line 57, characters 140121:142053
out for anything that anything that you might be doing personally or or any just golden nuggets uh I would just say you like I said uh just especially the the newer Traders and stuff and even experienced Traders hey there's nothing wrong with sizing back down if you're not trading well uh got to think the long game and then you know what there's nothing wrong with paper trading as well even when you're experienced Trader if you're not trading well you know just take some time off figure some things out you know um uh you know doing that type of thing um uh but yeah I mean I do have a website although honestly I haven't updated

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it uh in a couple years but I do have a website stock won.com I I mean I do have a bunch of articles on there that people might find helpful articles about you know just general strategy development and paying yourself as a Trader things like that uh so you know if people want to check that out they can um uh I do have some social media accounts too people can follow me on um I'm not on Twitter anymore or X I still call it Twitter um I mean my account is still there but I I just don't like what has happened to Twitter in the past few years so I I kind of stopped I

S15-P0127 original line 57, characters 143721:145664
don't post there anymore I'm mainly on threads now so that's where I'm most active uh but same stock wonk uh at stock won on threads so uh people can find me there so sounds great thank you so much for your time prob appreciate it absolute gems of advice and I think the most important takeaway for me and I'm sure for everyone else is the fact that it's the perseverance with the pattern because you're living proof of someone like million you made pretty much million dollars in five months but now you're persevering to find the next million dollars right all perseverance and sizing down so uh thanks so much for your time yeah thank you thank

S15-P0128 original line 57, characters 145665:146253
you so much for watching and I just do want to remind you one more time about Cobra's ultimate trade up package Cobra Prime the link is in the description click it below I'll see you on the next one

S16 | Ep. 8 Of Transparent Traders: From Farmer to MILLIONAIRE Trader | Complete normalized text

Original: Ep. 8 Of Transparent Traders_ From Farmer to MILLIONAIRE Trader.txt. Citation label uses paragraph plus original line. Character offsets are zero-based within the decoded original line. All removed repeat spans remain in the work normalization ledger.

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Ep. 8 Of Transparent Traders: From Farmer to MILLIONAIRE Trader

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📅 Uploaded: 2024-08-23

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⏱️ Duration: 0:47:37

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👁️ Views: 3,186 (Rank #1 of 1)

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💬 Comments: 53

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📼 Playlist Progress: 1:35:14 of 0:47:37 (200.0%)

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👉 Check The Trading Farmer's performance on kinfo: https://kinfo.com/portfolio/40473/performance

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👉 Gain access and discounts to leading trading tools with COBRA PRIME: https://www.cobratrading.com/prime/

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👉 Get 1month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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In this episode our host Stephen Johnson sits down with The Trading Farmer, a unique trader with $1.7 million in verified trading profits. From the heart of farm country to the fast-paced world of trading, The Trading Farmer shares his journey of balancing life on the farm with strategic trading decisions.

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They dive into the importance of risk management, the emotional aspects of trading, and how a strong work ethic cultivated in the fields translates into success in the markets. Whether you're a seasoned trader or just starting out, this episode is packed with practical advice that you can apply to your own trading journey.

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🌟 What You'll Learn:

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- Stay Patient and Disciplined: Patience in waiting for the right setups and discipline in sticking to your plan are keys to success.

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- Diversify Knowledge, Not Just Portfolios: Understanding multiple trading strategies can provide better opportunities in varying market conditions.

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- The Impact of Psychology: Mastering your emotions is as important as mastering trading strategies.

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- Continuous Learning: The market is always evolving, so staying informed and continually learning is essential.

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- Work-Life Balance: Balancing personal life with trading is important to maintain a healthy mindset and long-term success.

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🔑 Key Takeaways:

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- Consistent, small wins often build up to substantial profits over time.

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- Being able to adapt strategies based on market conditions is crucial for long-term success.

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- Each trading mistake is a chance to learn and improve.

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- Understanding when to take risks and when to be conservative can make or break a trading career.

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- Engaging with a community of traders and seeking mentorship can accelerate your learning curve.

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CHAPTERS:

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00:00 Introduction - Meet The Trading Farmer

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02:15 The Trading Farmer’s Early Days on the Farm

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05:40 How The Trading Farmer Got Started in Trading

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10:22 First Big Break in the Market

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14:35 Strategies for Consistent Profits

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19:10 The Importance of Discipline and Patience

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23:00 Overcoming Challenges in Trading

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32:50 Key Tools and Resources for Traders

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37:15 Advice for New Traders

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41:30 What’s Next for The Trading Farmer

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#TradingSuccess #VerifiedProfits #TradingJourney #TransparentTradersPodcast #TradingStrategies #FinancialFreedom #Investing #TradingTips #TradingPsychology #ProfitGoals #MillionDollarMindset

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🔗 Follow The Trading Farmer: https://www.youtube.com/@thetradingfarmer

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🔗 Follow kinfo: https://x.com/Kinfo

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🔗 Follow Cobra: https://x.com/cobra_trading

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Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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today we welcome the trading farmer just I love the farm and so it's kind of like my identity who sits on K for's alltime leaderboard with 1.7 million in verified profits and I finally had a breakr and I said let's just simplify it yeah but it was at my lowest point I was basically broken it's like it's like kind of like an addiction story I hit rock bottom and I that's when I finally just was like these three things it was welcome back everybody today we welcome the trading farmer who sits in seventh place on K for's alltime leaderboard with 1.7 million in verified profits we're going to jump into his trading strategies this industry

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transparency his top tips for new Traders and hopefully just a little bit about what that name's about because that's one of the more unusual and fun uh tra Trad names I've come across but uh just very quickly I just want to say that Kimo pro and pro plus are still free for your first month log in click upgrade uh you can you can access advanced reports and analytics just click on the description below but first trading farmer how are you and and how did you get that name well uh I'm doing great hopefully you you are doing great too and thank you for having me on hopefully we can put together a good show here

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uh and uh the trading farmer uh that's I I got the name because uh it's deeply rooted in my family history uh we're Farmers from North Dakota and uh I've always worked on the farm since the third grade every summer my parents moved away they moved here to Arizona but their siblings still Farm there big farms 5,000 Acres you know 350 cows and ever since the third grade I would go there um and I started to just help out and work and it kind of became a thing and I just my every summer I went there and I worked and I every year I got paid a little bit more um and and that's how

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I funded my trading account uh and it also was you know I mean it's just I love the farm and so it's kind of like my identity and so that's that that that's the trading farmer kind of story short version to not bore people no but I mean what I absolutely love about this is you went from harvesting on the farms to harest in the markets for Cold Hard Cash and and then that that's a good story so this 1.7 million that you've made like what clicked for you to go from unprofitable loser Trader to generating this kind of 1.7 million amount of money yeah so the 1.7 I mean it's a little outdated number

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I have to update my Kino I've been I've been a little busy with my ex-girlfriend dealing with you know that drama but yeah a little bit more than 1.7 but what clicked a lot of things clicked uh but the main thing is I simplified my approach to the market and that was what I did when I was about ready to quit I was you know all these gurus on YouTube that I was following whether that was Ross whether that was Ricky who lives here in Arizona whether that's live Traders it was the same story it's all this complex hoot keys and all these complex uh ideas and and and and I finally had a breakr

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and I said let's just simplify it give me a buy Market button give me a sell Market button I'm going to get in one time I'm G get right out and I'm going to have fun okay and so that started with also lowering share size and that's kind of how fell into this hypers scalping mode is I lowered my share size to where I could with my cash account at the time take as many trades as I wanted so it gave me this freedom to uh take whatever trade I wanted to and since the size was so small my emotions were not getting the best of me and I was starting to just have fun

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um so that's one two this is very important and and and and I teach this at at trading Farmer Plus my my course if you will that I I really just don't I I I undersell it but Max loss uh I I had a Max loss but I never really respected it I always thought once I become profitable then I'll start actually following a Max loss and it's just it it it blows my mind that I used to think that but it was at my lowest point I was basically broken it's like it's like kind of like an addiction story I hit rockbot and I that's when I finally just was like look dude first

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of all you're lowering your share size because you're just trying to make $200 a day you've made absolutely nothing I made absolutely nothing after 12 months of trading I didn't really lost anything but I made not even a single dollar and so uh the max loss thing was number two okay and the lowering share size number three and then and that's just you know a lot of things clicked okay there's I don't want the beginners to think I just found some Secret it and then overnight you know it it it clicked there was a lot of tough lessons I had to to to learn and eventually it all came together to where it was these

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three things it was simplifying it was the max loss it was the lowering the share size it was using Market orders instead of fooling around with these brackets and these limit orders and these offsets uh and I just started to have fun nice and and yeah that I I'm not very good with the American Sports but like with as you guys say in football or NFL or whatever like the best thing you can say is on a on a on a trading's full of pressure right so the best thing you can say to someone under pressure is look just go and have fun go and have fun enjoy it do your best and see what

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happens and that generally uh gives the best results but I just wanted to ask you what is the like what what's the pattern like what are you doing like what are you doing to generate 1.7 million so we're you we're I me I'm trading low float stocks uh these are you know companies that are garbage but on one particular day they just go nuts and they're just ripping usually uh you know big percentage moves and and I'm looking to just get in and get right back out and and ride the volatility and and it starts with looking for and this especially for the 5050 strategy that I landed on is it's focusing on dips in

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the price like I'm not just talking pullbacks I'm talking about say for example when a stock breaks out it doesn't just go from $4 doll to$ Five Doll there's usually it goes to 415 and then it drops to 402 and then jumps up to 420 and so that that oscillation those those micro waves within the bigger move I'm capturing those in and out over and over again whereas traditional Traders traders that grew up with permissions right this strategy is is is is found in free commissions and and instead of just buying and maybe adding and holding I'm just getting in catching the five cents here getting back in on the next dip another five cents

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um and that way you're not putting so much emphasis on one trade okay and so the patterns I'm looking for the same as everybody bull Flags right I'm looking for breakouts I'm looking for bull Flags I'm looking for ABCDs and that's a another big pattern that I teach and that I push is what I call the W's and this is basically ABCD pattern uh but I look for these ABCDs and even the most abstract uh uh patterns you know not just the traditional uh ABCD but just W's in general double bottom false breakdown type thing um so it's kind of a combination of looking for those W's and also looking for breakouts where I can

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get in and keep getting in getting out getting in getting out and if it's not and if it's not working because this doesn't work on every stock okay sometimes the way the market makers are working that day or on that stock it's just like you're getting screwed on your entries and your exits okay but what sometimes we find these stocks often actually where we can just trade these micro waves these these these waves and we're just getting in and out and and and over and over again oh it makes a lot of sense it's it's really fascinating I'm going to quickly just jump to um a quick ad from today's sponsor and then we're going

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to get straight back into it I'm I'm really curious how on Earth you've learned this as it's a new strategy just that's come from the commission free model but we'll we'll jump right back Unleash Your trading potential with Cobra Prime Cobra trading has released the ultimate Trader package crafted through strategic Partnerships with top businesses and software innovators you can now gain access and discounts to Leading trading tools from Advanced analytics and charting systems to trading platforms with over 15 partners and growing Cobra Prime lets you customize the Perfect Trading package for your needs the more you trade the more points you can earn to unlock additional trading tools click the link in our YouTube description

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and sign up to COBRA Prime to elevate your trading experience so we are back right now I'm I'm super curious because you've just said the strategy is born of from commission free trading so it's not like there's some 20 30 40 year old Guru who's who's laid out the playbook for this you have you thought of this like who taught you it how did you figure it out well it it it it is and I'm not saying I'm the only person in the world to land on this and and maybe someone could do this with commissions uh I just haven't seen it it just wasn't on YouTube and and how I landed on it was

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um when I finally hit rock bottle I was trying to trade like the the guru Ross or like humbled tra actually I didn't I didn't learn much from her but say Ricky and uh you know I was looking for confirmation I was looking for first candle to make a new high I was doing the small account way which is one trade a day according to these gurus and again it didn't work okay that's the long the long story short it didn't work 12 months 13 months of trying to copy what was out there for me to learn from for free trying to copy that failed and so what I did was I lowered my share

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size and what that allowed me to do inevitably is just keep getting in and out and just trying to go for that $1 a day just if it even if it's 10 cents at a time because I I looked at my metric I said I'm not I had trade I traded 13 months here trying to do what that Guru is doing what that Guru is doing and what all these what all these experienced Traders are saying Which is less trades more money which maybe is true to some extent uh but it wasn't until I lowered my share size uh and and and that allowed me because I had a cash account again to take a

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lot of Trades and and what I found was I'm just looking for those quick trades and those quick trades are often those quick dips in price on a strong stock and so what I would do is just get in and get right back out and so at first it was like okay I'm going to stick to less trades but then I realized why because if I just keep going I just keep making more money and so it just it eventually it just kind of was where it's like I'm up 10 bucks I have plenty of buying power the stock is still volatile there's still waves there's still opportunity so I just kept going and going

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and at first people were uh in those early days were like oh he's using Market orders oh he's taking 200 trades a day that no that less trades more money and that was the story and so at first it was like I'm not saying I'm the only one but it was at first there was a lot of naysayers and they were like ah no no you know uh but I just kept going and and it was just like micro base hit trades one after another over and over again and it eventually came to the point where one day I was able to size up and it was it was a day where I was emotionally

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triggered this is about a month after I made that switch to small size I got emotionally triggered I already had shown I had already shown consistency and then that's the thing too I can't stress enough like I traded a month with 25 to 50 shares and I made way more money than I ever did trying to take four or five trades with 300 shares I I it's like it's hard to believe but I really just dug into that approach of let's just get into a trade if it doesn't work right away out if if I get into a dip and it's not going green on me within a second mark it out why can I

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do that free commissions so I mean and I have small size I was going to ask it um so what's you risk on these but you just said it you're immediately out immediately doesn't matter if you go red you're not waiting you're not waiting to go red you're in didn't do what you thought you're out so it could be a green trade like one cent 0.1% do you know what I mean what yeah 100% that is the foundation now as I've gotten more experience and sometimes I do those W trades where I'm looking for ABC there's some trades over time now that yeah I do give them some time to work but still the foundation

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is get in and if it's not going in your favor right away just get out because it's free commissions and you have unlimited trades you can take yeah it's crazy but is this I mean is it more obviously you're you're really in trune with specific patterns in the market so you can predict how they're going to behave and then you're going to buy your short accordingly but is there any Confluence or any kind of wait for it to drop to a significant support level or it's all on the level two what is there any secret to this this the I wouldn't say so much secret but over time you do get a better sense of

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hey let me take a look at the daily chart right let me see where this where what's the bigger picture right we're we're looking for micro movements but we're looking at the bigger picture so to answer your question the secret is the all Traders are looking at the same thing is is the daily chart good does it look good is does it look bullish or is this the kind of stock that likes to just sell off right at the open is this kind of a stock that is is the daily chart is just garbage is this the kind of stock or is the five minute chart is it look bullish is there a a bull

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flag is it in a breakout or is it trending downwards all right you're going to want to focus on the stocks that are making higher highs that are are getting putting in bottoming tails that it's dropping but it's coming right back over and over again because some stocks they just go straight down and so it's it's it starts not only with the patterns but also the stock selection it starts with the stock selection is it a lowf flat stock stock stock is it a stock that has volume is it a stock that's above vwap does it have uh bullish patterns and then you can start to go into the micro and say hey this is

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a five minute breakout out of a wedge right that's not a secret everybody knows what a wedge is everybody knows what a bull flag is okay and then from there you can start to read the price action on the level too is is the bid in the ask moving in a way where you can actually see the price dip and then rebound or is the bid in the ass flying all over the place uh that's what I would call an unstable uh bid and ass or an unstable spread so we're looking for you know the right stock or we're looking for Price action that's stable and predictable we're looking for stocks that are are strong

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uh and it's not really like it's not really a secret it's it's if you spend any sort of time trading you see hey this is a strong stock okay okay what patterns do we see on the F minute chart okay if that's good okay let's go to the level two does this level two make sense or is it hard is it hard to read we're looking for Easy Money easy money not every day is going to be easy money uh uh I don't know I don't know if anybody understood anything I said but no in essence that's kind of the idea that makes 100% sense everything that you're saying makes 100% sense it's really it's

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quite inspiring actually because you don't you've made 1.7 million doing this but is it just the case to start off I'm going to try and make a dollar a day and if I what if I lose a dollar I'll quit and now and if I make a dollar I'm also going to quit and I'm going to say at the end of the month I've made more dollars and I've lost dollars um so the the thing with the make the dollar a day is is it's a psychological thing and I I push this a lot with my students or friends or whatever you want to call the people I've helped uh find success and it's a

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psychological approach where before I was trying to make a $10000 a day with the bigger size and that resulted in making nothing it resulted in making nothing so what I did is bringing it down to making $1 a day it's not that it's not that I only want to make $1 a day I'm setting the bar so low that it's almost impossible not to exceed it that's one so that that starts to bring positive energy into you know hey look people are setting these bars that they're never going to attain so every day they're like ah I didn't get the hundred bucks ah I didn't get the 200 bucks so the whole the $1 a

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day thing is is a psychological thing to get people to start focusing on the process not the profits it's to start focusing on hey you don't need to try to go for the Hail Mary big trade the one trade a day let's just just come in here have fun with small size and try to make a dollar you'd be surprised that a lot of people are able to do that when when the bar is set low when the emotions are low when they actually have an opportunity to use their imagination instead of this whole I need to make $200 a day for this to work let's focus on the on the on the process not

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the profits and eventually the profits will come that's that's what happened to me and that's what's happening to a lot of people uh that I've worked with is just saying hey guys lower your size just focus on a dollar day now when I did that approach I ended up making 10 20 $30 a day uh uh and I'm not talking about $1 per share I'm literally talking about make $1 a day it's when I changed to that idea I started to make 105 $20 a day consistently with ease because I was just taking a bunch of little trades not one single trade was putting me at risk of blowing up my account or destroying all

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my profits on the day I was just getting in Market orders and getting out Market orders uh which also that's a big thing with the 50/50 and what I teach and what was not really being taught at the time was uh Market orders are amazing especially uh for the hypers scalping because you're not sitting there and getting your order half filled and then it flushes right you're just grabbing whatever is there and you're getting out whatever it is you know we're not we can't predict the price you've set a limit order at this price how many times does it come to your price or a penny before it and then it Rejects and so although

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technically the guy with the limit order maybe technically on paper would have been making more money but over a large sample size the guy who's just grabbing whatever the market is producing on the bounce back up he's gonna he's just going to be way uh he's going to be locking in locking in locking in uh profits I think a lot more consistently than somebody who's who's setting these limit now with that said I do use limit orders from time to time usually on the sell side and that's um and I know I'm going kind of all over the place but that's when kind of the spreads are bigger uh because that's when Market orders can

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kind of screw you yeah uh but I think I I think I may have forgot what your original question was yeah the $1 a day but it's more of a case of if someone is hitting limit orders it's like what is the opportunity cost of missing out if you if you don't take the trade and and then if you've got a certain probability of starts if it works 70% of the time you don't want to miss some of those trades because it messes with your probabilities as well yeah it's it is so many times like yeah it's just you you miss the move or you miss the profit taking opportunity because oh the stock went

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just a penny below where you thought it was going to go and and no one knows the future yeah we we like to say yeah it likes to break the whole dollar it doesn't always and so it's more so I'm looking for red on the tape uh for that quick dip entry and then as soon as I see green on the tape and the price is moving green I'm I'm selling market and and and just over and over again that makes a lot of sense um I'm interested to hear had a lot of people say for a lot of years that um the patterns are somewhat easy to learn but it's the mental aspect that

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is uh much more difficult the mental aspect is something I've really struggled with for example um I love to be creative also love to drink a bottle of Wayne I love to do excessively long runs but I I like to be excessively stupid as well as do excessively healthy things as well and sometimes in trading when the emotions run High being an emotional person I just don't want to press the sell button in a trade when I'm wrong when maybe a little bit too much is on the line or even if just a little bit's on the line so is there any way of getting over because when you're sculpting for such little amounts if

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you don't keep to your discipline and risk you can quickly you can quickly lose a lot of the the profits you work hard to pick up yeah and I I have developed cuz um uh my my dad who I'm teaching this struggles with this but what I teach people is is the count to three and especially with the style that of the 5050 of this hypers scalping style get into a trade on a dip right on on on on you know and and so it's a little harder than just buying a dip but get into the trade count to three and sell get into a trade count to three and sell and then that's an

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exercise to just get used to this idea of hey we're hypers scalpers we're getting in we're looking for just quick pops quick entries off a dip either during a breakout a micro dip at a breakout maybe a double bottom dip and and and and so for you Ste uh Stephen that some I would do is just get into the habit of hey every trade you take no matter what the outcome is count to three and sell count to three and sell and so you get into this habit of I I don't even know how many times I've been into a trade where I buy the dip and then it flushes even more s more s

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more s sell instantaneous no hesitation and it's it's hard to do I think I may have forgotten how hard it is uh but when you're a hypers scalper you're so used to just buying market and then my hand is on the hotkey and and sell market right away if and and as you get more experience that's when you can start buying these dips and in the right moments you can instead of selling right away you can start to hold and you know that's why not only is you know hypers scalping is is great but it also kind of helps you learn to hold trades for longer in a way because you can trust yourself that

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you will sell it when it turns against you you you don't I I don't struggle with that really anymore I do not in fact I struggle more with selling trades too soon and selling them too A lot of times I buy a trade it dips a little bit more and I I cut it right away and then it bounces right back and that's just that's just what happens and I'll get right back in if that happens I'll get right back in on the next dip and it's just in and out and I think for you 100% I know you can do this but 100% there's people way Dumber out there doing this 5050 because I

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taught them and I can't speak for everybody uh that's hypers scalping but I know who I taught and and and and I know you can do it so that's an exercise to count to three that's that's an exercise that's not what I do uh and done to make 1.8 but it's similar no it's it's very it's very interesting and this this strategy that you're talking about now people will have seen the other episodes prior a lot of hypers scalpers it's in line with this commission free movement it's a modern strategy people are making a lot of money a lot of people on the kall leaderboard I'm making a lot of money doing it so I

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would personally encourage a lot of people to take this seriously because I know Scotland had a bit of a bad name ah it's just scalping how do you manage your risk but look I see a lot of people making a lot of money and you making some of the most out of them all so uh yeah yeah Stephen it's it's this hypers scaling 50/50 since you know when I first went live with it actually teaching it on YouTube I I didn't see anybody else doing anything like it um and I you know I started out as a small Channel and there was maybe 10 15 people following and watching and of those people you know

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four or five of them within weeks not even much time they just they replicated exactly they moved they were they were Warrior students and they were kind of doing that whole style uh and then they ended up finding my channel by chance and and very quickly they just started replicating it with a lot of success and I'm not saying it's for everybody but I'm saying it seems to me and that was two years ago it seems to me ever since I uh taught those people and and came live with it it's just like everybody's doing it and it's and it's um it seems to be easier than what all these other gurus are doing or

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had done n makes makes makes a lot of sense makes 100% sense and I I think it's the wave of of the it's almost a wave of the next generation of trading and like you want to be early on it you don't want to be doing it in five years when everyone else is doing it because it might change everything again but like you want to be on it in on it now get the money now you I mean well there's this idea of this Edge erosion that some of um um my my my students have been going on about and they they were actually like not wanting to teach people this and and I

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don't know maybe eventually that becomes a thing where there's so many people buying Market selling Market you know over and maybe it just becomes too much I haven't seen it yet I think actually the more people involved in this the better yeah uh but there is that certain idea of like hey there is a potential that there comes a point in time that so many people are doing this maybe even hedge funds they're probably already doing it with algorithms like we've basically taken what people were doing with algorithms already for years and we're just manually doing it and uh it maybe it's in my head possibly the case but uh it is that free commissions

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that because if you were charging me $7 a trade based off of uh how many trades I say it' be like a, doll of commission every day it would be like a quarter million dollars of commissions every year that would that would soak up at least 50% of my profits yeah and so it's it's these free commissions it's new thing A lot of people are picking up on it and I think you're going to be the next person to do it you're interest I'm 75% sold in I'm 80% I'm I'm 100 I'm 85% sold in by The End by the end of this I'll be 100% hey you might buy my course by the end

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of this this this might sell you but um talking about transparency gurus and furus which is the next section um what motivated you to be on kful yeah there's a lot of things but um a lot of people I think it just came down a lot of people were like hey dude get on kinfo and it was a word of mouth thing where it's like farmer get on Kimo because some of the people that you know and it's kind of a little bit of a I don't want to say drama show but they there were some people that I knew that were hypers scalping that were connected to some of the people I've taught okay

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um but it was mainly because people were saying hey get on Kimo it's great and to verify your profits is is is you know the icing on the cake now no one was questioning my profits really you know it wasn't because it was like oh we don't know if you're legit I think people had done the research I'm trading live every day I'm teaching it I've taught plenty of people this style so there was no question uh but I just wanted to get my name up there because I'm like hey guys look I got 1.7 I you know it kind of like that I like that leaderboard kind of reminds me of Call of Duty

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kind of reminds me of Xbox and and so I was like let me on there you know not only will it show my stats and back up my whole story uh but you know that that it it's also just kind of a community thing and that's what kinfo I think does a great job with no absolutely and then we'll have the podcast now and then you're getting to meet everyone in the top 10 and now you're getting to really know the people behind the the usernames of the top 10 so it's going to another level as well it's it's super cool but um in terms of pump as F ru gurus like I'm thinking about

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what Pumas arguably you might have mentioned a few Pumas already questionably but I'm thinking like RoR and kitty Zach or you could say warrior trading I don't know I don't want to say he is or he isn't I don't know but do you think these guys are good for the industry or bad for the industry well for Roar and kitty I don't really know much about uh but I you know I don't know much about what he's doing the the warrior trading how much of a pump he is I I I don't think he is guilty of some egregious pump scheme if anything maybe just a little bit pushing the course material a little bit

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beyond what it's worth in my opinion so maybe pumping a course is what Ross is guilty of uh boring Kitty I think is more guilty of pumping actual stock prices now now ultimately speaking Ross with the following he has yes people are going to follow him into trades and they're going to be probably a second behind him so yes it does increase his profits a a little bit but um um um uh I'm sorry what what was the question again the the morality the the ethical aspect of uh yeah Pumas and other yeah you know I don't know I I I I feel like yeah the industry has been historically full of some Bad actors

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where it is very much you know hey by this stock at this time you know and then people fall for it and and unfortunately people a lot of times lose money um now I don't think there's anything ille illegal with saying hey guys this stock I believe in it I'm in it you know this one could go to the Moon I you know that is is one thing and as long as they clar you know make clear like hey guys by the way you know day trading's risky you could very well get spoked on this this is my opinion I'm in I'm in this stock it looks like a good pattern uh so I think

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I think it it is a fine line and I think a lot of people are guilty of not walking that fine line very well and that's what I've tried to do since the start just morally speaking with the family I was raised in just being truly transparent and honest because even I'm trading live and I have on the banner hey M trading will result attempting to mirr trade or copy my trade trades will result in losses I don't want anybody to think that I am somehow trying to pump a stock um and that's just something I've done to be over and Beyond I think the bare minimum of being truly so as far as roring

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Kitty I don't know I don't know what he's all doing uh but I hope he's making it clear to at least the new traders that hey uh there is significant risks involved involved involved the um Penny socks have got like the worst name um and they always have these micro cap stocks especially the low floats that you trading like would you change anything with the industry or like does it not matter as long as you're making money and other people can make money does it matter well would I change anything I I think I have for my channel and that is just being so honest so straightforward that it's almost it's it's it's not even

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pretty right telling the truth and being honest is not always a very attractive thing to do right I I could do the only showing the green days I could do you know just showing all these big profits and I really could just be posting about 1.7 million every day and I could be I could take all the warnings I got warnings up the wazu on my website yeah I have like the my results are not typical don't M trade you know even with my course I I undersell it because I don't want want to be known as that Guru I don't want to be a guru I want to be me and I want to

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be a guy who's helping people that's what I've done and so to change anything yeah I've gotten rid of the gimmicks the only gimmick I have is the 30% off my course that I don't really push um and I'm not doing the spin the wheel I'm not doing the small account challenge that the odds are nobody's going to be able to replicate such a thing this small account I think that's so deceptive it's great for clicks it's great for views and there's there's in the industry there's this this idea of you know that Holy Grail so there's some gurus that are like this is the Holy Grail um I don't do that and and I'm

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not saying I'm the only person that doesn't do that but there that is something I would like to change I think it is changing I think people are realizing that these these you know like the Tim syes I'm not saying he's a scammer but there was this kind of this Vibe where people are like day trading is a scam I think I think I think that's changing I think the viewpoint of the next generation is changing and I think it's channels like mine and I think it's channels like uh others out there that are also like saying like Hey we're legit people verified profits on kinfo right or verified somewhere and and we're not kidding

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around we want to help you here's a course right here's my course this course I I built as if I would give it to a family member there's no bells and whistles um you know I think you know I think it if that's what I would change it's to get rid of the gimmicks no it's it's interesting I was I was speaking to um Kyle who who echoed similar thoughts to you and he was saying saying saying um like four years ago it was kind of cool to show a Lambo and like now if you show a Lambo it's kind of like you might be a furu you might be a SC do you know

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what I mean like 100 yep it's changed so it's changed that people don't don't we don't care you know that everybody's got a Lambo really at this point it's like that that card and it's not even in the day trading sphere let's let's zoom out it's just the whole online course area that blew up especially in covid and and before that it was is still a thing where it's like it's like that card has been played and people have fallen for it people have been sued already FTC has Ste it so that card has been played we get it you're renting the Mansion it's a rented Lambo probably even if it's not you know no

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one cares it's a Lambo it's it's not even you know for me I'm a farm kid I don't want a Lambo I want a truck uh and and so you know the the nicest car I have is a 2003 Mustang that I bought in high school and then I got a 2017 Toyota 4Runner those are my two cars okay and and I've sometimes Flex them but not really and I still live at home so I'm not flexing any rented house I'm not I'm not I'm not flexing I don't want this to be me making myself feel righteous but just to your point the lambo stuff it's over it's done the small accounts challenge garbage it's

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done it's over it's unrealistic for 99% of people to show up with 500 bucks and to turn it into it's near impossible so let's get let's get realistic with people and let's be authentic and so far what I've learned is it's a it people love it and they're buying it up yeah I think with technology comes the opportunity for a lot of people and um to be scammed but it also brings a lot of transparency and and in platforms like Kino give credibility where you can find you can find those Niche people who are actually good in deliver and value you can also get tricked by a lot of people but it's also easier to

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discern who's good from bad with this with a little bit of intelligence like with a little bit of intelligence like ah he's on Kim for ah it's verified he's a Lambo yeah the Kimo is is great and the whole thing with Kimo is yes the community community community yes the leaderboards but it's also just like bringing legitimacy to traders who want you know to be helping people and and having the verified profits is is is allowing people to to know they're legit and the thing is with kinfo is it's easy to use and and I was always thinking like hey uh where do I verify my profits I'm like do I need to go to

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this CPA firm what do I need to do and and so when people came to me and they say hey kinfo all you to do is sign up put in some credentials for your for your broker and and boom you know full transparent so there was there was a person in my Discord where there was a question of whether he's legit and and and there was a simple solution and we were like hey just sign up on Kimo s and then we won't question anything okay unfortunately you know and and Kimo is not for everybody I'm not here to blindly sell it Kimo is great and I've used it and I'm using it uh he

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decided to not do it and so that's on him and and and so he was not we were not able to for sure verify his profits uh but just know that don't be upset when people don't think you're think you're think you're legit yeah no 100% agree um and then if we'll move over just to to close on just a few tips for some of the new Traders you have any advice for like for example what's the biggest problem in new Trader you think faces or tra has come to you that face and and and what's the advice that you can give for them to overcome it I it I it I think I think

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I think I think patience and emotions I think people come into this career thinking it's quick money it's easy money so I think new Traders come in you know kind of with unrealistic expectations like hey I'm going to put two to three months into this and I'm going to be making money like trading farmer or like uh uh of the people you were talking about that you have interviewed and and there's some people that that they're like I I think in two or three months I'm going to do it's like no you got to have realistic expect this is going to take uh years you know on the low end maybe a year okay but

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it's going to take time sitting in the driver's seat putting time on the track practicing and and and and you know and the emotions too is another thing is people come in and they don't have uh uh they don't have maybe a stable home maybe they had struggle with addiction maybe they are have a breakup going on or maybe their backs against the wall they have bills to pay they're just not emotionally ready uh to be performing consistently under pressure in what is probably one of the most emotionally triggering careers you can do and so you match unrealistic expectations with someone whose emotions are not are not are not stable uh stable uh stable uh

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it's it creates for an opportunity for people to blow up their accounts and it just starts to snow I mean people talk about it people have killed themselves over trading losses it's a sad thing and so uh for beginners you got to really ask yourself are you serious about doing this the right way if you are starting a simulator graduate to real money but small size and if you're trading the 50/50 that shouldn't be too hard to do because at the end of the day with the small size you're using you can just have fun and and if you're having trouble with cutting your losing trades then you go to trading Farmers 3 second exercise

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and maybe you have to do that for a month where it's just like hey I'm counting to three on every trade and I'm just working on the process I might not even make any money this month but I'm working on just getting into the habit of getting in getting out no matter what no makes a false sense false sense um did anyone actually what's the best advice anyone's actually given you I think the best advice uh would come from you know believe it or not um a lot of the big gurus but you know starting in a simulator and a lot of people the simulator gets a bad RAB now because thinker swim simulator is

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kind of garbage uh but starting into a simulator and and and actually seeing if you are dedicated to wake up and do this every day cuz here in you have to wake up at 6:00 a.m. I have to wake up at 5:45 in the morning and and and so the best advice was to essentially what I'm relaying to you guys starting slow starting in a simulator having realistic expectations don't have this as being your Hail Mary two months of learning and then you're going to go full size trying to make $3,000 a day like farmer you know so the the whole idea of of of going slow I think that's that's it and the last

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question just to close us out on is I don't think I've asked I hope I haven't it's say why why do you think that you've succeeded in this industry when 95% of all Traders if not more lose uh I I think there's a there's there's a lot of reasons um one is is you know thankfully I was able to be in a position where I could work on this every day without pressure of paying bills and I also never gave up and I think that's also I was in a position where I could just keep grinding at a little bit and there was a lot of setbacks and there was a lot of times where

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it's like I I didn't make any money at this for 14 months 12 to 14 months not a single dollar meanwhile people are laughing at me people and again and mind you there was no hypers scalper on YouTube teaching this stuff it did not exist uh so uh you know it was a there was Ross Cameron but again I you know not a lot of people I know are actually truly trading like him so there there was this idea of like stubbornness I was stubborn I had told a lot of people day trading legit I had told so many people so I was like I cannot quit and so it's this idea of I never

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quit I did it the right way I started in a simulator for six months I woke up every day I fell in love I think that's I think that's more why did I see I fell in love with I got addicted this time not to drugs not to weed not to nicotine I got addicted to day day day trading uh and it's just the perfect storm where I had you know I had the farm money so I got the PDT I had I had the stubbornness in me to keep going even when people were laughing and I knew I was drowning I just was like this is is this even possible so yeah I think

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all those things as well as many more and I think at the end of the day it's about falling in love with trading having realistic expectations and never giving up that's the recipe that I see not in myself only I see it in in a lot of successful Traders there's no guru there's my course is not going to get you profitable overnight you're going to have to sit down and you're going to have to go through hell and back over and over again I think very beautifully pots um is there any final words anything else you want to close out on before we um we finish out it's been fantastic it's been a privilege to

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talk to you thank you for coming on really enjoyed it um eye opening in many ways for everyone but any any final words final words final words final words can't think of anything I mean I I just I I'm happy to you know just be on here and yeah I didn't know like I was like Stephen from kinf Fall is like this could be a scam so I'm you know I'm just I was like you know who what is this a setup is this a a scam so no I don't I don't think I have any final words but I do appreciate you know I feel flattered I guess that people are reaching out and

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and you know I guess I used to be the guy looking up to other people and now I'm in a position where some people are looking up to me and I'm trying to be a good Steward of that even though I'm kind of young and I kind of I I I I don't hold my tongue I say if you guys watch me live I trade live in the morning uh for free on YouTube I I I definitely say some I say whatever's on my mind but I try to do it hopefully uh in a way that doesn't upset too many people but I think that's the most that's the most important way to be the

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most important way to be is true to yourself or it's or it's being who you really are and sayfe and I think that's the the best way to be likable because people know that that's the honest version of you it's like everyone hates everyone hates these people who are just people Pleasers or saying the the guru or furu honesty honesty wins above all and uh we'll close out thank you so much really appreciate it and uh we please guys leave leave your comments uh on your thoughts on this episode because I'm really curious to hear people's thoughts because it's a bit more of a I wouldn't say controversial I wouldn't say explosive but there's revelations

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in in the episode so please do leave your comments and hit a like and a subscribe thank you thank you thank you so much for watching and I just do want to remind you one more time about Cobra's ultimate trade up package Cobra Prime the link is in the description click it below I'll see you on the next one

S17 | Ep. 9 Of Transparent Traders: The Future Algorithmic Millionaire | Complete normalized text

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Ep. 9 Of Transparent Traders: The Future Algorithmic Millionaire

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================================================================

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📅 Uploaded: 2024-08-30

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⏱️ Duration: 0:44:52

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👁️ Views: 2,340 (Rank #1 of 1)

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💬 Comments: 19

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📼 Playlist Progress: 1:29:44 of 0:44:52 (200.0%)

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👉 Check Siylenia’s performance on kinfo: https://kinfo.com/portfolio/35214/performance

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👉 Unlock $7,500+Industry-Leading Trading Tools FREE: https://centerpointsecurities.com/kinfo/

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👉 Get 1month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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In this episode of Transparent Traders, Stephen Johnson sits down with Shahzad (aka Siylenia), who shares his incredible journey from a personal and financial low to building a trading strategy that brought in $311K in just a few weeks and then later to occupy the #16 spot in our all-time leaderboard with $834,000 in verified profits.

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Siylenia opens up about how a breakup led him to channel his energy into trading, developing an algorithmic approach that has since transformed his life. From initial failures in futures trading to refining his methods, Siylenia’s story is one of resilience, discipline, and the relentless pursuit of success. Whether you're a seasoned trader or just starting, there’s something in this episode for everyone looking to find their edge in the market.

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🌟 What You'll Learn:

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- Patience Is Key: Siylenia learned that rushing into trades often leads to mistakes - patience is essential in both life and trading.

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- Adaptation in Trading: Learning to pivot from manual to algorithmic trading was a game-changer, proving that flexibility leads to better outcomes.

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- The Power of Historical Data:

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Using historical data to refine strategies is crucial. Siylenia’s journey into algorithmic trading demonstrates how data-driven decisions lead to long-term success.

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- Automation vs. Intuition: While automation creates consistency, having the intuition to adjust when needed is a valuable skill every trader should hone.

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🔑 Key Takeaways:

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- Turning Personal Adversity into Trading Success:

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Siylenia’s journey from a breakup to making $411K shows the power of redirecting negative energy into positive outcomes.

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- Transition to Automated Trading: He shares how building an algorithmic system helped him stay consistent and avoid emotional decision-making.

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- Risk Management: Siylenia emphasizes the importance of setting strict stop losses and profit targets, especially when trading with leverage.

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CHAPTERS:

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00:00 – Introduction to Siylenia’s Journey

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06:06 – The Early Struggles with Futures Trading

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07:59 – Bouncing Back: From $150K to $411K in Weeks

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09:59 – Transforming Adversity into Success

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16:00 – Mastering Futures: The Hard Lessons Learned

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18:03 – Coding Strategies for Algorithmic Trading

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26:01 – Balancing Intuition and Algorithmic Trading

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29:06 – Discovering Kinfo and Enhancing the Trading Experience

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36:07 – Risk Management Techniques and Lessons

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39:39 – Advice for Aspiring Algorithmic Traders

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#TradingSuccess #StockMarket #FuturesTrading #OptionsTrading #Kinfo #DayTrading #TradingJourney #RiskManagement #ProfitStrategy #TransparentTraders #AlgorithmicTrading

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🔗 Follow Siylenia: https://www.reddit.com/user/Siylenia/

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🔗 Follow kinfo: https://x.com/Kinfo

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🔗 Follow CenterPoint: https://x.com/CenterPointSec

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Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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today we welcome s I'm a trend base Trader who sit in 16th Place on K 4's alltime leaderboard with 834 th000 and verified profits and this is where the algorithmic approach is so nice people can't use like chat GPT to just make up a strategy and it just worked where humans are really good against the AI right now is we welcome back everybody today we welcome s who sits in 16th Place on K 4's alltime leaderboard with eight 34,000 in verified profits that million I know want aeny but is in sight we're going to jump in it was trading strategies industry transparency and there top tips for new Traders but first I just want to

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remind people you can get Kino pro and pro plus pre May first month simply log in click upgrade and you get access the advanced reports and analytics for first sale thank you so much for coming on you RIS up the stares you're one of the future Hot Prospects and and you're working for how was it good yes thank you for having me though it's a pleasure to be here appreciate it it it um I wanted I mean first this wasn't on the script but I very very quickly want to ask you how are you balancing in and all of this money because you're up B 134,000 I think a lot of it's come in the

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last 12 months how are you balancing work and in this commitment to training o um yeah it's a big one um it definitely comes with a lot of struggles um to give you just a little bit of the insight into my day-to-day um uh so I work as a sci reliability engineer uh I work for Splunk we just thought got acquired by Cisco um I my shift is Sunday through Wednesday I work uh swing shifts so like an evening schedule I I uh trade of course first the market session opens up at you know 8:30 8:30 8:30 um and you know trade will close at three then I have about an hour gap in there

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and um if I have like you know any athletic activities I want to do I like to run um I try to get that in during that time come back 4M shift starts you know focus on the job till my shift ends at 2 am I'm also on call overnight so sometimes I might get paged gotta get on handle that and then you know if I gota handle a page I do it and then again Market opens at 8 and I'm right back at it so uh I don't get much sleep um I definitely sleep a lot on my Saturdays uh but you know my dayshift ends um or my day shift schedule yeah for

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the week it ends on Wednesday so I do get some rest Thursdays and Fridays but on the evenings of Thursdays and Fridays if I have I mean that's usually when I you know organize uh most of my appointments or plans that I have with friends and whatnot but if I don't have any time filled then um if it's not Leisure it's looking at charts and I am into algorithmic trading so I do a lot of coding and you know try a lot of strategies uh out and back test and I yeah all the ideas I'm developing in things during the market session all of it tries I I try to fit all of it during

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those Thursdays Fridays and Saturdays um when is like my only day off is Saturday so yeah I'm I I definitely am added a lot um but you know without a wife and kids I have a lot of free time that I can fill uh but that might change soon and then you know I'm gonna probably appreciate some of the time I've put into here as it you know helps me and my career going career going career going forward gotta make the money while you can no make make the money while you can take it while it's say yeah you're you're a journey see I've seen a few people's Journeys like this actually where uh you

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went down 20K when he started learning then you were up over 100k and then he pretty much nearly lost it all again bringing yourself back down at 15K which is exactly the situation where I'm in now for me as well I did $600 and over 100,000 and I lost about 50k I didn't lose as much as you but I lost about 50k and I just paused during the B maret and thought I don't know I don't know if this is for me so whatever I see a story like yours where he went from that 15K up 800k on a million I just saying am I one step away I'm one step away from at all

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but like what what was that experience like how did you have that resilience how did it feel to lose like pay up 100K then lose it like Po us through US sure so the first thing I will say is uh don't trade going through a breakup breakup breakup yeah um you know I I'm going to quickly just segue into one thing um you know when you speak with a lot of Traders and you and they and you try to like organize like what's the most important thing for a Trader you know you'll hear some Traders say psychology or some will say Edge um those are two are the biggest ones uh and you know people

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will like die on a hill one of the other and I mean for me I I I think all of us could probably say it is a mix of both but it's definitely dependent on who you are as a person I think if you have and you've built a lot of mental result The Edge becomes more important because you innately have a lot of resilience against some of those things when you get down you bounce very quickly uh but you know if or it could be if it's more easier for you to find the edge it doesn't become as much of an importance because you just have a knack for finding out these patterns but

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then of course a psychology will suer more you know commence like in proportionate to that because that's just where you could use more assistance and like for for me the psychology department is where I I I um definitely could use like more assistance versus the fighting The Edge aspect and so you know that experience like um like when you were when you were just talking about it yeah it yeah I started from like it was like 26 or 2.6 sorry it grew a little bit and then I stopped and then I think that's when I moved my money into tradovate uh because I finally had something I feel like was working and I wanted to

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use the leverages of a futures broker to try to accelerate those gains and um yeah and that's when I was you know pioneering my new 10-minute strategy grew to yeah I think at the peak yeah altogether it was like 124 something like that and then yeah within like and that was over a period of two months at like a thousand trades so I was feeling really good about myself you know seeing the consistency and then the markets were also not in the best state for me to trade um I'm a trend Trader and of course when the market goes through consolidation or chop I innately I just it's just Market fundamentals that's not going to

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be an environment for me to make money but when you mix that with you know really big you know personal matters like me going through a breakup and having some additional things in my life at the time um it can really really get to you mentally and so you know for me after that experience the one thing I took away from it was you know I I need to to to really understand myself better you know I mean not just from the trading but also from like having coming out of that last relationship that I was in like there was a lot of rediscovery for me there and like during that time I was like

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kind of in the market but not really I was really taking my space and then right after that was when I was like all right I'm going to transfer 150k I'm going to put into the market the markets look like they're moving I'm going to leverage up even more because I have confidence that this is all going to work and I'm coming back with like the most free like mental state I've had in a while you know bouncing back from the breakup and and you know having all the self-discovery and within like I think it was two to three weeks I grew that five 150k into about 411k just you know doing my strategy trading

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es Futures and just being leveraged but being you know completely disciplined to the strategy and then I think September the 1st was the last trade I had made during that cycle and I was like I don't know if the markets are going to move as much as I would like and quite frankly I think I'm done so I think I've made more of my money back and so I just transferred all of it out of my account and actually took a little bit more time away from the markets and started looking at transforming what I had developed for my strategy which was you know algorithmic and everything on the charts but there was no automation

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done so it just told me exactly what to do and I could sort of fill in the blanks with my intuition where I didn't think there was a right trade or not uh but now I was trying to go from there and again use this you know Rebirth of myself and this new drive that I had to uh then build the full automation to where I wouldn't even need to do a trade you know it just does everything automatically and that's where I'm at right now so beautiful so what do you say that PR was one of the in that ever happened or would you know I mean it definitely was in some ways yes

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there was a lot of lessons that I've learned and it was it yeah it completely gave me what I needed the pain was what I needed the suffering was what I needed and the rawness you know to look into myself acknowledge my faults see where I was wrong both with my relationship and the market and where I was wrong to myself and you know use that energy to just motivate yourself to do better for you and for those around you and that psychology will just it'll carry you in a lot of places in life you know I swear by that H 100% agree because um when I first got into trading it was because of

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a breakup I was going through a breakup and I needed to channel the energy from a negative to a positive and uh I remember when I was at the PE I mean look tra transform me like because I'm doing things like this making money from other aspects of the market and I've made money from the market so in various ways TRS transform me like to the better but I did the exact same thing as you and uh turn the negative into the positive and and also uh we're talking about losing jobs and redundancies and highs and stuff like that also when I I lost a job um I was terrified full of fear but it's

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started my own company and it's doing well now but I would have never had the confidence to do it so it's that yeah it's that horrible uncomfortable situation that drives you to do what your something's dancing to do yeah and we share that story a little bit in some ways which is interesting but you need you need it you need adversity you need it like otherwise we're just Bley humans completely agree I mean you see some of the best athletes you know Olympians and whatnot all high Achievers in life in life in life CEOs um most of them went through some form of adversity really yeah you know you can you can let it destroy

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you or you can let it build your character and uh there's obviously only one right choice there's obviously only one right choice yes on that on that note we'll quickly jump into an adver sorry for that the big spoiler but we'll quickly jump into a break for an adver and uh we'll be right back if you're an active Trader then Center Point is the broker designed for serious Traders like you Center Point offers Advanced trading tools flexible rooting options and an extensive short inventory to give you the edge you need with Next Level customer service when you join Centerpoint you gain access to Centerpoint Edge an exclusive program tail ad exclusively for Centerpoint clients with

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Centerpoint Edge you get free access to over $7,500 worth of industry-leading trading tools that you won't find at another broker this includes amazing resources like kful benzinga pro trade ideas dilution tracker and more click the link in the description to elevate your trading experience with center point where active Traders get more okay we are back again just on that uh on that on that nail bite and bomb but yeah 100% agree I think we you have to have this and no one wants to be born through a bad time that keeps you awake at night or like a head reason but it shapes you it shapes you operates you right does it does it does

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so where where did it all start for you how the hell did you get into Alor trading is it like it's just it's one of the niches it's not the normal normally people are going in buy a Tim Sykes how how you do an algorithmic Trad yeah so um so I will be mentioning when it comes to mentorship two mentors so one is going to be just like the General mentor and the second's going to be my mentor friend um my mentor friend um I think like I think on he's on like X and Instagram I think uh he goes by the name of Spear of the kid he's a Goldman Trader um he's actually

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been mentioned in um uh I I believe at least one definitely um books on trading from other very very seasoned traders who have who have mentioned him in his and his success and approach to the markets um and I mean he's just a guy that you know I knew since I was a kid and who been in trade into trading and we've always like we he's the type of friend that it's like you know you don't talk to him for like three or four years and then like you know like he'll hit me up be like hey man you want to play this video game and I'm be like yeah let's let's let's play it

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you know like nothing ever changed right and um and so I originally came into the markets like a lot of people around 2020 um I was still working my job at a previous company uh doing well there but you know and I stayed away from the markets mainly because you know my father was like the the fear-monger of the markets like it's gambling you got to stay away I mean now the guy's got millions in it so I mean how how perspectives change but um you know at the time though he was very fearful of it I I understand why but um yeah uh I just see you know I look at the markets I

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keep hearing about it and I just see this huge you know decline in it and so I'm like well this is probably a good time to invest because I mean one if the world's over currency's got to be useless anyways and two bu might as well buy this big dip right so um that's when I had uh talked to uh my mentor friend and he was like oh yeah he was like you can open up a bro like an account with a brokerage and then he got me into some Vanguard funds getting me on a very safe approach um mix of of index funds and Technology funds um and uh then I made like I

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or I put like 10K on American I didn't know what I was doing but I was like this stock looks really low and in a year it should go up right and then news came out in June like a month a month and a half after I put that money in that uh they were increasing their Fleet uh by double and overnight American doubl in stock price so I immediately sold the open and I'm like wow this Market thing is easy and fun you know and uh let's just say that that success did not continue um you know I wound up pretty much giving all of it back and maybe a little bit more I

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mean by the end of the year I was up considerably but uh into 2021 is when I started getting into options I did get into the GameStop frenzy made 50k in a day off of options which was like the second day I ever traded options and I was like wow this options thing is really easy it's not good being very successful very early in the markets but you have no idea what you're getting into uh it reads a lot of false expectations but I think that once again like mixing some of those things you know mixing like you know when I was going through my breakup and the losses I had as well during that

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time again those aspects of adversity definitely I mean they can either break you I could walk away and say maybe this isn't for me maybe I should be doing something else or I can say you know what I still love this and I'm going to just learn from these mistakes and I'm going to do better you know and so you know I tried getting into Futures now going into 2022 I Tred to get into Futures and options was difficult but Futures killed me I mean the first time I got into it I made some money and then first week I was down like 11k and I was like goodness me and I tried it again

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and then I tried it a third time and eventually I was like no I can't do it I can't do Futures ironically it's the only thing I trade now um there might be a trend here which is whatever I find the most challenging tends to be what I gravitate towards to to overcome it you know and maybe that's maybe that's where my drive is is the greater the challenge the greater I have this need to overcome that um you know just the the satisfaction and the and the and the pleasure of of of the journey really of getting there and so you know with Futures I started to um get into it one last time

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and I was telling myself that because I really felt that I just had an idea that would work better on Futures instead of options and um I approached it and I was like you know what if I'm going to be doing this I want to pull the stops like I wantan to like if I'm going to be using trading view I want to learn how to code and pinescript and have everything for my strategy mapped out to a te you know my mentor friend says this uh he says you know if you're going to have a strategy you need to be able to essentially write down every way that it works because if you can't

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write it all down your strategy is incomplete and if it's incomplete it's imperfect and if it's imperfect when you lose that edge it's going to be difficult to find how to get that edge back because if you don't know the intricacies around it and you have some blank spaces you don't know if those blank spaces are what's dragging you down or holding you up more you just you just don't have a clue but the more you know you understand your approach the better you're able to deal with those frequencies and so that's where I started the whole coding approach but then as we continued forward from the coding approach I begin to be like and

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not just use it to help me with you know indicators and potential entries I just went even further with that I was like you know what I want to really get some ass aspects of confirmation looking at historical data does what I have work I need more confidence and the best way to get that is to use that historical data and so I just put more time into it and then eventually I got it just again it only needed to be connected to an API to be able to trade itself and that's exactly you know where I eventually got it to and it took a lot of time and effort but yeah they got there

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how do you get into that though like how do you think all right I'm a new trade I don't know anything about the markets and I know a bit of codon so I'm going to look at all of this historical data and I'm going to figure out a strategy like what's the in between part of that for for new Traders like how how do how do you figure that out sure so the first thing is for me at least I had to I had to have good confidence that I had an idea that could work so I was still trade it manually I still did everything manually I was doing uh SPX zero DTE at

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the time uh one of my standard strategies was um I wouldn't gamble the open but I would wait for the first 10 20 minutes before I had a good confidence on Direction um again I continue to be a trend-based Trader even though that's not how I started I started more as like a chop and scalp Trader but I transformed into this um had to rewind my brain a bit um and when I would enter uh my Zer DTE um you know I'd have my stop at around depending usually about 25% depending on the Range and whatnot but you know once it would move a certain direction in the like not in the money but with

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a high amount of of uh gains we're talking maybe 50% I would usually sell against my position and start taking in premium so that I could secure aspects of the trade so if it went against me I'm still all right if it went for me my gains won't be as much but there's still gains more security there and you know and I but I was what I was the real like the reality of situation was I wanted to get away from the debt side of options so I could have gone into selling but I felt like with Futures and The Leverage that you had there was just a little bit more Simplicity when it comes

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to Theta you know even though as a seller it would work in my favor Futures just seemed like it would be more clearcut when it came to a systematic approach because you could eliminate the Greeks and you could focus a lot more on just the simplicities of price action and so um and so like I mean the way that my Approach was was uh like if you were to open up your chart and just put in dxy plus VX plus tnx plus TLT what happens is you bring up a chart that consolidates you know the dollar yield index the volatility index of the S&P the 10year bonds 20-year bonds and uh Treasury and it gives

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you a decent idea as to where you sort of predict how the Market's going to go and you can use your EMAs I tra on the 10-minute um I use you know 57 uh for my Crossovers and then I use my 21 EMA uh to basically be like I go long above the 21 I go short below the 21 but the Crossovers also must meet and so as I was taking a more systematic approach as I was approaching my strategy with more concrete rules and details it helped me realize this can now be put into a system and where there are gaps and blanks that I'm not understanding with my strategy by coding this it

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will force me to fill those gaps by coding this it'll force me to start you know creating a fully closed strategy where there is no room for interpretation it either is or it isn't it's either Green Day or it's a red day but either way you know what it's going to be and you know why because the rules are there and from that you can then make adjustments but yeah in order to get to the spot to be able to code it required required required thinking about how you're going to take what you apply to the markets every day again write your rules down make sure you stick by your rules add to your rules

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and try to make your strategy as as complete as you can to where the idea of needing to fill uh a a gap in where you're looking to maybe enter or exit the market with intuition you can even get rid of that you know because intuition serves us very well I mean it's the collection of patterns and data we that we've gathered over time but I mean I would rather trust data to my gut you know I would rather trust yeah the statistics and probability of the market would drive it so why not use it to your advantage most people that I've spoke to in trading most of the successful people will all trade basically

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on data they might have a very small window of intuition for the entry or the exit within a certain parameter but most are trading completely on Plat based data or they're trading on intuition based on memory data within the memory like thousands and thousands 10 years of have seen thousands of charts and they just know the patterns but even that way it's based on data whether it's in the mind or not um I just want to check with you I mean really you've took a lot of you've took a lot of the pressure off you if you if you programed the ENT and access through an algorithm but when you were going through the difficult

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time and your and you losing money because you didn't quite have that discipline there how did you get the discipline back and what you do now to maintain the discipline sure so I mean I will tell you two things I still think of myself as a novice because I still haven't been training for that long and two um I am still working on the discipline um I still have some losses that come in here and there I mean because even though like you said uh a lot of that pressure gets taken off of me uh because of the fact that it's all algorithmic I also Place unnecessary pressure on me because it's like now that

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I've gotten to this point I want more I want to achieve more I want to you know I'm developing two alternative strategies right now um like a mean reversion based strategy and a chop based strategy as well as I'm working with another Trader right now um shout out to him if if he sees it uh where we're looking at um like some principles of reversion towards my pricing uh within Market hours based on a certain subset of time and so like that's where I'm trying to do more expand do more get more strategies because that's just how I'm going I'm accelerating in that direction and to rewind back and answer about the discipline side really

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it came from me just having a greater understanding of myself not even the market not even my strategy but me having more understanding of myself me making sure that like I am just you know like if I mean I've already explained my schedule when I am deprived on sleep that's when the most mistakes happen for sure uh when I'm deprived on sleep because I do sometimes trade the aftermarket and my aftermarkets I mean I Shi away from it because that is very intuition-based trading and it has served me quite well but it's obviously also created some losses and um the biggest problem when I do that is I can see how if I have a

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loss in the aftermarket it can impact the way that I perceive the market session because I may have not given myself the opportunity you know within that time frame of sleep deprivation and being up all night to give myself the mental Reet that I need and a lot of times when I'm in a okayish spot I just let the algorithm do it let it do its thing which is really what I should be doing anyways but you know again sometimes I want those extra gains because in a lot of cases you know I see where there might be using intuition you sort of know when the market and the price action is doing something and

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I might say no the algorithm's going to be wrong here I know I I can say with almost complete confidence it's going to be wrong and now it sucks when you're wrong but uh a lot of times it's right um when I have that sort of perceived notion but like I said uh for me I notice for instance when I'm tired I make a lot more mistakes so when I'm tired I try to stay away from the markets as much as possible um and I just try to always make sure that if I'm not in a good mental spot I just again I have the advantage of all that work and time and energy that

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I've put into this automated system so I should just let it do its thing you know I and patience is something that I'm starting to come back to I used to be a very patient person I think this journey ironically has actually eroded some of that patience because of the pressures I've placed on myself and I'm slowly as time has gone forward I am slowly kind of rewinding that back and saying look look at what we've done look at what we've achieved this far like we don't need to take we've already taken some of those unnecessary risks or even necessary risks in the past it's time to be a little bit more patient you know

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I've got all these other systems that are being built right now I mean be patient work those out and instead of me participating in trading which I don't ever want to stop doing I do have a smaller account that I do much smaller trades on because I like to of course get the screen time get that market exposure you know analyze the price action like I don't want that to ever go away I want to be close to the charts but take a step back from the big money you can let it go automated and you know work on these other strategies and when we get them into a good place push them out you

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know so yeah that makes sense yeah you definitely can't for the the mar do anything than you want that's the biggest biggest biggest when you pause the up way you want but like what what motivated you to be on kall yeah so um so first I was going through a man how would I say it probably mid probably mid probably mid 2023 into late 2023 um I was approaching you know this I guess I was approaching the market the way that I was uh things were going you know fairly well H but during that journey I was like I kind of going through a dark period where I haven't really talked to many people about

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trading and so then I was like uh let me look at the day trading Reddit I guess there's something there right and then I saw how you know a lot of um the recommendations for like verified Traders was like connect your account with kinfo and so I was like okay this kinfo thing let me go into there and then you know I went into it connected my account and I'm like oh I actually really like this thing it's got like a nice UI I like the interface it's simple that's what I want I want simple concise clean information um little pretty nice charts that aren't you know too much of anything just simplistic in the

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way that I like it and um and so yeah and so I literally have just used kinfo just to like kind of the keep the tracks and keep the logs and journal because I know that I should put more effort into my journaling even though I because I I record keep myself I record keep how my algorithm trades I record keep how I trade so I can kind of cross reference you know what the algo did what did I do where are my trades better let me try to analyze that a bit but in terms of like some of like the greater pictures like looking at days and all that sort of thing which I

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can do through my system I've built so many tools within my automated solution uh it's a lot easier and cleaner of Kido so you know that's where I leverage yeah that's where I leverage it a lot so yeah and so obviously I've just continue to use it and then you know after like a month cycle I just go and sync and then just kind of review and bada bing bada boom you know so yeah um you don't really probably deal with any furus or Pumpers I was going to ask if the if that help I hinder the market but do you have much because in micro cap stocks and penny stocks which is what a

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lot of the people trade who are onkin for I I generally said you have a favorite fur bumper does that apply to you because you're in a different Market I think yeah I'm at the table with a lot of people with a lot of money L that like to really play with things in a I guess predictable yet unpredictable way right um because yeah es is uh you're going to need you know billions to move that thing um and yeah it's it doesn't it doesn't necessarily apply I guess I would argue with the price action because I don't think anybody has the money again to move it like they would to be able to a

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small cap but I think that you know you're still going to have more than enough people out there that are going to try to teach you oh yeah like you can make money you know trading this one indic if you just follow you know my three cool tricks here you know just got to pay $49.99 99 you know and then it's like uh so I mean out with with the teaching pers perspective of it there are oh there's I I I've seen a lot out there they all seem like red flags to me uh the One Mentor that I did have um the truth is I don't even know if he was a profitable Trader

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like I really don't um but he spoke like he had knowledge and it was knowledge that I knew he had and I could see how the knowledge helped me with my Approach and you know some of my Approach actually is derived from the teachings that I had from him so I mean he could have been a profitable Trader he could have not been but um I was referred to him by another traditor who I thought was a was a fairly seasoned Trader and uh and trading underneath him I can't say it served me wrong it definitely served me well I mean one could argue I would have found success anyways with the time and energy

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and effort that I was putting into the market and that is probably true but it doesn't hurt when you can get that help from elsewhere like from my mentor and of course my mentor friend who really taught me the value of being a seller for instance when it comes to options um so important I think so many people buy when there's no reason to buy um you know I mean there's a there's a joy to it there's a joy I mean I've had you know know know 1,500 spxs before it doesn't I mean nothing feels like it you know but how often does that happen you know we're talking about making consistent money and smart

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money you know be the market maker sell you know um so yeah between those two that's where most of my information came from my my mentor friend of course I trust 100% And he knows his stuff I mean when he talks you just know he knows his stuff um stuff will be on me but yeah with furus and stuff like that I've been fortunate enough to be warned and I don't believe I've had exposure into learning from someone like that I've always also kind of had the awareness to be like when people have tried to be like hey you should come over here I say I really don't need it you know I I've got

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my trust to sources if I really need them and I've always actually approached my journey you know relatively solo so um yeah I guess that's that has partially served me well going on a predominantly solo route and then of course where I needed that help going to that one person or the other person I mean what would you say was the best piece of advice that you were given in your trading career so far or when you you you started oh that's a good question um so this is what I always say and this was derived off of what a bit of what my mentor friend had told me but I'm saying it in this

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way uh because it's just what I tell every Trader it's not about what you make it's about what you lose you know risk management is the name of the game and you can make all the money you want like I turned that one account uh to 100K you had did something you know just as amazing if not more amazing but it doesn't matter if it all goes you know down this raining again you know it doesn't matter at all right I mean I it's like in this this is where the algorithmic approach is so nice is with everything being so systematic there's I can put so much emphasis on the numbers and data in a

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way that just isn't possible when some of the gaps are intuitive based and you know again my my My Philosophy there which of course is a bit of the information that I have gained which is it's not about what you make it's about what you what you what you lose um algorithmic trading really brings out the most the most advantages in trying to harness that theory I makes sense because if you're not tring an algorithmic style it's it's almost almost almost like you can practice that way if if cut the losses quickly cut the losses quickly let the winners run it's it's similar thing but then just one bad day not feeling right little bit

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tired you let one Les one loss goal without the right propage interventions are the max risk are liquidation from a broker I can just wipe you out and that's I mean that I suppose that brings us on to the next question I mean do you have any risk management practices to to protect yourself or anything that you'd recommend so outside outside of course of you know my algorithmic uh Risk Management Systems uh for myself what I try to do I is and this is where it's actually been very nice outside of just doing the algorithmic trading for the automation is automation is automation is it has I've also taken my lessons from that so when

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I do my own trades I exercise using exercise using exercise using atrs um I try to work off of atrs for profit targets I look at levels of course something that my algorithm does not really do it'll look at levels for profits but not so much for stops um May I've been thinking about looking at that approach but for myself and my trades I try to take that algorithmic approach so I work off of the atrs I look at where you levels are and you know because it's not my primary source of trading I try to always make sure that size is consistent and I make sure to not overtrade again I try to trade

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in my own way that is not a part of what my system generates but it's still a profitable way to trade uh which is why I continue to do it even if maybe I should not uh I will preface that maybe I should not uh but it's been working and and I think that just again I'm I I am like a lot of the other intuition-based traders in that sense where for this style of trading which is nor with the aftermarkets again I take some of what I can from what I've learned from the algorithmic style so I use atrs I will usually do like a one to two risk reward so my risk will

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be one and my reward will be two uh I usually if we're doing aftermarket I'll do something like depending on how I see the price action 2x or 3x of the ATR for my um for like my my stop I might be getting this wrong or like three to four for my profits it's when I'm in the charts I I know what to do but um as you can see it's not a complete system um and that's why I also talk crap about myself when I trade like this uh because it's not a complete system but um there's nothing wrong with doing something like that if of course like you were asking me like there's

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a if you have an aspect to help with risk management and for me it was instead of looking at levels as much as I used to I now look at is there a very strong level and if there's if it's a a volume based level or a major psychological level like 5600 like 5600 like 5600 5500 or if there isn't what is the ATR and what is our current standard deviations within the aftermarket range because aftermarkets predominantly chop so um I try to trade based off of you know these probabilities these statistics and and matters you know to try to give myself the best Edge in those moments and like I said it works most

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of the time and that's the form of how I normally trade now I do trade market sessions as well but yeah um experience of course but also deriving what I've built from the algorithmic trading solution and bringing some of those lessons back into how I now trade has really helped with my risk management for sure and ATR is is that average to range is that average to range sorry I probably should have said that out that out that out loud cool and uh just just one question to close on I suppose we change it a little bit because I think you probably have inspired a lot of potention potential algorithmic traders to probably follow in

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your footsteps there'll be a lot of people that would think B wanted to do that but I never quite had the the thought so I mean if someone wanted to get involved in your style of trading what's the first few things they should do the first few things they should do is I mean first make sure you've got the time make sure you've got the time I mean you should already have that ready if you're approaching trading in general but make sure you have the time uh the second thing is I mean I would I would really say one of the best ways to start is to I mean again have a strategy the first

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thing you got to do when it comes to trading you have to have a strategy whether it's algorithmic it's self-driven it's you need to have a strategy so have the framework for your strategy configure don't rush into the coding too quickly uh because then you might fall down the r hole of not understanding what overfitting is or where you know you're compiling too much based on historical data that you're not leaving room for forward testing and then all your trades are going to fail because youve baked so much of previous data in there's a lot of this stuff that can be learned through raw trading and by having an actual strategy it can help actually

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keep you from some of those problems with being too much of a of a engineer or like a coder that's trying to force patterns into recognition and things like that there's a reason why in my opinion I I think this is the reason why people can't use like chat GPT to just make up a strategy and it just work is because even if you even if you train the model where humans are really good against the AI right now is we can discard bad data so quickly and I think that our ability to do that comes from our ability to predict future data something that the AIS that we've developed don't have that of a

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of a concept of doing which is also why when you go into longer time frames and you have longer trading spreads not just AI based trading but algorithmic trading also loses its Effectiveness with greater time frames um so you know let's we we we should first leverage our strengths there to find the starting points of the strategy that can actually work and from there I I'm not getting paid or sponsored by anybody but from there you know my my thing is it's probably easier to go with a tool like trading View and to use pinescript because it's like a very simplified form of python that makes everything a lot easier and it's not perfect and

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you know I'm eventually going to move away and put everything into python probably have it in a ECS container and AWS and and have it all run and do its own thing or maybe something different but you know it does offload some of the responsibilities that you would have and it does bring some simplicity it gives you a UI it makes it pretty simple and concise that you know a newer Trader that's trying to get into this can leverage that and use it in a way that's very effective for them that was my journey I mean that's literally my journey so I can completely testify to that and say that it's what you know it

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was it gets kind of bumpy and choppy at first but you know I wasn't even using Chad GPT and stuff for code and I see so many there's a a Trader that I work with right now who's getting into to it and he doesn't know much about coding but he has chat GPT help him a lot and I'm like why didn't I think of that when I was learning you know like so we have a lot of tools at our disposal um definitely use them yeah no that's fantastic uh I think we'll just close out on that very unique interview very very interesting approach something we've never had in any of the other podcasts so

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thank you for bringing that value truly truly appreciate I'll be watching you for when you pass that million I'll be there to say congratulations want to jinx anything so Dutch wood but uh thank you so much for your time and uh we'll we're just going to close out with the message from the sponsor well guys just wait one second I just do want to remind you all the center point Edge offering is available to everyone we've got the link just down below in the description check it out and thanks for watching

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Former Google AI Engineer Made $450K in 18 MONTHS

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📅 Uploaded: 2025-07-31

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⏱️ Duration: 0:31:26

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👁️ Views: 19,926 (Rank #1 of 1)

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💬 Comments: 81

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📼 Playlist Progress: 1:02:52 of 0:31:26 (200.0%)

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👉 Check Jim's performance on Kinfo: https://kinfo.com/portfolio/36916/performance

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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Jim is a former Google engineer who taught himself to trade - and then wrote code to do it for him.

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He started trading full-time in 2024 and built everything from scratch: backtests, execution rules, risk parameters, even automated after-hours exits.

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No Discords. No hotkeys. No discretionary entries - Just logic. Code. And strict execution.

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We talk about:

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• Why backtesting is the only way beginners can catch up

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• How he built his strategy from setups used by traders like Mike Huddie

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• Why he believes repeatability matters more than pattern recognition

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• The criteria he uses to automate entries and exits

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📖 Chapters:

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00:00 - Meet Jim: From Google engineer to full-time trader

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05:00 - How he built a fully automated system

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08:26 - His strategy

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11:52 - Profit chart and big drawdowns

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14:40 - His 100% stop loss explained

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21:24 - Stock selection

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24:00 - Advice for new traders

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✔️ Follow kinfo: https://x.com/Kinfo

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✔️ Follow Jim: https://x.com/zhangji37

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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🔴 Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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#UndiscoveredTraders #TradingBot #SystematicTrading #AutomatedTrading #Backtesting #DayTrading #ShortingStocks #StockMarket #Kinfo #VerifiedTrading #TraderInterview #TradingPodcast #shortselling #aitrading #AI #artificialintelligence #chatgpt

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Jim, you are on fire. >> I write a code to basically automatically trace the big price and uh try to try to try to be a beginner trader. You may also be the next Steven Ducks. >> I didn't do anything special for this period of time. Like it's just exactly executing the the same code over and over again. over again. over again. Welcome to Undiscovered Traders, where we focus on the charts, stats, and edge with the latest six figure. This trader is going to be very quickly seven figures the way he's going at the moment. Today, we're talking to Jim. Jim 37 on uh Kinfo is his handle. Trading from New York City, the land

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of hopes and dreams. He's up 484,000 of which 338K is in the last 3 months. 221K is in the last uh month. Jim, you are on fire. fire. fire. What is uh not I don't want to build you up too much, but you are on fire right now. How how are you? >> Good, good. I'm good. Uh yeah, thank you for the invitation. Um yeah, I always like appreciate the Kinfo. Um like websites like Kinfo. Um, I had a hard time finding like b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b

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b basically filtering b b b basically filtering b b b basically filtering out scams and like fake gurus when I begin like start to learn training, you know, and and I found Kinvo and like every everybody there is just legit and like real masters and I just like follow the trace and follow the leaderboard and try to find the resources from them and like the the learning curve is just went smooth from there. So I really appreciate like websites like KFO and like other uh places uh you know for beg especially for beginners like me. I I would like to think that you weren't a beginner, but I I love the I love the humility,

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but uh No, but it's so true because if because if because if Jim from New living in New York City just said, "Ah, yeah, I'm a trader. I've made $221,000 last month and no one had ever heard of you and it's impossible to prove without Kin for a broker statement. But even then, broker statements can be manipulated a bit, no one would believe you. But now we can say, ah, this guy is of nearly half a million." Uh, it's awesome. Um, I just want to ask first, um, was that do you want to throw out any names of any any furus or or fake gurus that you came across to to like make sure no

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one else gets tricked by them? >> Oh, I don't I don't think I want to like anyone publicly, but yeah, I mean like more than one for sure. I think that's fair. fair. fair. >> Yeah. Yeah. And then is there anyone on the leaderboard that you've been followed that you do want to give a shout out to that you've learned from? >> I I am I'm still in the clubber trading group. Um and I I have been Steven Ducks group uh team sites um like uh what what's the name? Oh, wolf Roland Wolf. Um yeah. Yeah. Like a lot of real masters and I learned a lot really a lot from them. And I I'll

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have to say I I'm still a beginner for sure. Um, I started full-time trading since January 2024. Um, so I opened up my first account for just day trading on exactly January 1st, 2024. So now it's like a year and a half past. Um, so yeah. Um, a little about my story. Um, I used to work in Google as an engineer. Um, so long story short, I was basically enchanted by AI and then disenchanted by by the whole, you know, the the the field. Um, um, and and because I at the end of the day, it just feels like it's nothing but a day job, you know. Um, it's not as like glamorous as I

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thought it would be. Um, so I was like, and I got to learn um trading like uh I think pretty occasionally from Steven Ducks. I think that was the first one I like heard of and then starting from there I just you know kept learning from different people and get to know more about this field and know get to actually do it and practice and you know um here it is. >> No, that's that's really interesting. So you've you've gone into all of the different rooms, which is what I which is what a a lot of traders do, learn from everybody, and then you've kind of created your strategy based on everybody's learnings. Is there

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is there one particular mentor that you you have as a favorite or >> I'll say like Mike was um I I used to be basically copycat of him. Um, so basically actually now I would say I'm still half cloudycat cuz I basically short gappers but I don't short just like from from the market open and then cover at the end. Um so I did a little bit tweak and uh change of uh based on his strategy and I uh write code to um uh to back test my strategy to optimize strategy and also like execute strategy. So now it's like a fully automated training trading for me. >> Uh yeah. So I I guess that's

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part of the reason why you can see the curve just going up and like pretty fast. Um cuz I was um cuz that's what I believe like like if you want to persistently be profitable, you have to be as mechanic as code, you know. >> To Yeah. Yeah. In order to like get this consistent results all the time. >> Um yeah, basically. >> But uh one question and we'll bring up your profit chart. Um, are you using any artificial intelligence in your learning or your strategy right now or is it like kind of only the automate automation side? side? side? >> Yeah, I use it but not in the way you're thinking. I don't use

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it to like to to have it come up with a strategy for me. Um, I think it's possible but I don't think currently I I don't know how to do it right now. basically um I use it to um to have it write code for me and it's especially useful especially when it it's from it's building from 0 to one like 0ero to1 prototyping that's especially useful uh that I found cuz like a lot of things um you don't know during this 0ero to1 building um and you can basically just just ask them to ask chargebt chargebt chargebt like what is this and how to do that and things like that and he will just

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do it in a snap like that. Um so yeah I I I would say like without JBT I wouldn't do this whole trading so fast and profit so much. much. much. >> Uh you knew how to write code beforehand though I presume. Sure. And glow. Yeah. >> Yeah. >> Yeah. >> Yeah. >> But it's accelerated it. Uh, and can I just ask for anyone who wants to go down that route, can you just give a quick outline of the tools, the tools that you're using? you're using? you're using? >> Uh, you mean the the the AI tools? >> Yeah. Or software or the software that you're using for the code, the programming and the >>

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So, um, it's nothing but API. Um, so like the the command API. Um, I'm I'm basically using that. So um it it's like like from 0 to one you have to um cuz like DOS API is like a a socket based API like you have to send command and then receive command receive response from from the server things like that. So you have to like start from the very bottom you build helper functions to like you know a create socket connection and then on top of that you build like send and receive function and then on top of that you build uh short command like short shorting covering buying selling and this this whole uh

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like layer by level by level um um building um um um so yeah That's sort of um how how I build the whole thing. Um >> so so it's like when a stock has this float and this volume and reaches this percentage of premarket on the day is it you'll fire an entry there short if it reaches this cover? Uh yes, uh strategy wise uh yeah, so I have some like conditions that uh that the one stock needs to strictly match in order for me to enter and exit. Um so yeah for example like the the gapper has to be um has to gap up in the pre-market for at least certain percentage and a

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market cap has to be no more than a certain a certain value >> um and things like that and then once the market open I use the code to tell me um when to exactly enter and then I and the same thing for for exit and one Um I would say like one advantage I I don't know if it's advantage but I found it pretty helpful uh is that uh I cover during uh the after hours and during back test it's super super like superior compared to just covering at the end at the market close. Um and so yeah, so one thing about that is if you manually do that, it's going to be exhausting,

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right? You have to like track last price or track big price all the time and it's pretty slow and you need to like emotionally be stressful in order to because you have to face like the liquidity issue um and the the large spread all the time. Um so I so that's the part I think my code is the most helpful. Um, so I I write a code to basically automatically uh trace the big price and uh try to get the optimal exit price basically. price basically. price basically. >> But and and is that synced to your broadcast? The it's all automatically executed. Are you still pressing the buttons? buttons? buttons? >> Right now uh it's

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able to automatically do the whole thing um without me touching anything. Um, but sometimes I still I still want to manually involve. Sometimes it's just my emotion. Sometimes it's like I know for example like the the locate fees if I if I do that early and it's going to be much cheaper than just having the code to do it after market open. So I I still can't resist sometimes. resist sometimes. resist sometimes. >> Yeah. It's it's like a it's like a Tesla. It's like a Tesla car. It's like >> it's 99% there. You're 99% there, but uh you've still got that 1% where you want to have the the control of the car. You don't

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want it to be completely automated just yet in case it crack it crashes and kills someone. kills someone. kills someone. >> Yeah. Yeah. Yeah. Yeah. So that's why they keep calling it like assistant driving, right? It's not auto driving. >> But it's the same for your strategy. It's slightly assisted because you don't want to you don't want to crash or anything and lose a lot of money. >> Yeah. Yeah. Yeah. You know, one thing about this is like I I was back in Asia um like three months ago. So I have to make the whole program automated because I have to sleep within the time zone. Um so that kind of pushed me to to

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automate the whole thing. Before that it was actually partially automated. >> Wow. H do you want to bring up your profit chart? We'll just have a look. It's it's incredible that you've um that you've made this amount of money in this short amount of time. I I don't think I know anyone who's made this much money except Stephen Ducks um who's done all who's done almost half a million in 18 months. You're on track to have some amazing results. Do you want to talk us through a little bit if uh you uh you uh you Yeah, sure. Sure. I I think like the um um if if I have to say like the the most

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um surprising part is um ever since uh June the 1st or maybe to be more exact like June 8th and ever since then it just boost um and I I I didn't do anything special for this period of time like nothing special for me it's just exactly executing the the same code over and over again during the past months nothing fancy See and actually you know right before June 9th like this day >> or 8th like there is a huge draw draw down there. Um and the thing is um it's okay. It's regular. I double check it. I triple check it with back test results with everything else. It's fine. Even though like what happened

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here actually happened is I took two full stop losses. >> Yeah. which rarely happened e both in back test and the live testing for this year but still it's just like a coincidence you know it's just two full stop losses happen the same same day nothing weird happened so I like stick to the strategy and kept going that just kept going and you know then the market just boosted um and and again like nothing fancy here like nothing special that I did here it's just like the market fit my strategy pretty pretty good. good. good. >> Yeah. No, I I don't know. I don't know what it is, but um it's the market the market

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in June was very favorable for all traders because I see a lot of traders having uh six six figure months. I I see a lot of top traders having big months. months. months. >> Yeah. >> Yeah. >> Yeah. >> Um so it's it seems that the market's favorable in in terms of uh volatility. And is it is this specifically just shortening the the the stocks that gap on day one? Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. >> Incredible. And uh do you have a do you have a couple of examples of of one or two charts or or anything like that we can we can take a quick look at? >> You know what I I

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prefer to show my like uh failure cases. I think >> Yeah. Absolutely. >> Yeah. Yeah. Yeah. Yeah. I think that that would make people learn more and I also learn more from from this from other people. So yeah. Uh it looks scary to be honest for sure. Um, but this is just it is what it is. Like in my strategy, I kept a very big stop-loss threshold. Um, it's actually like from from the the profit chart, you can tell it's like close to 100%. >> Yeah, >> Yeah, >> Yeah, >> is you which is true. >> Um, and this is also back tested. It's not like something I just randomly set. By setting this to

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negative 100% it achieves the the the optimal cali criterion. I I use this cali criterion like uh ubiquitously because I found it really reliable. So basically Kelly criterion is a like a a value between zero and a one. Uh it's actually the maximum uh percentage of your account you can bet on but I use it as like a score of my strategy. So the larger the better, right? And by setting this 100% actually Kelly criterion achieves optimal for some reason, you know, I guess that's the nature of shorting, right? You have to allow a large range of volatility over there. Um so yeah, I I stick to this large stop-loss. Um even though it's scary,

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even though when it happens, it's like pretty hurting, but yeah. yeah. yeah. >> Yeah. Uh, and >> I think I can understand cuz just for people who don't know, um, I used to show GABAS all the time as well. So I think June's had a lot of gapas. The market's been pretty hot. There's been a lot of gapas. These companies are 99% total trash. So if you short them at a certain gap up, it's not likely that they're going to go another 100% above where you've initially shorted them. Some will on rare black swan events, but the vast majority won't. But what you're talking through here is two occasions where the dead go 100% above

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the entry. >> Yeah. Yeah. So the thing is like um the reason um why it works is because a for a lot of stocks like like this they go up but right below 100% and then they go right down. Right. So that's what I found in the back test and that's what I found like this large stop loss is actually better than the lower stop-loss a smaller stop-loss because like if you sell it lower it goes up and it it triggers stop loss and then it goes right down and then you're like oh man it's I botch it again you know things like that. Actually, it happened to me back in June back in sorry

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January of this year uh when I was still using a very small a very low stop-loss and I was stopped for four times in a row and right I realized that there was some problem in my strategy and then I changed it to this current one and then since February it just went up. >> Yeah. Because I I I've I've I've seen several different traders trade a similar theory with gappers and many of them will do a 40% >> 40% stop loss just because like it still can be profitable another right criteria but like you don't take those you don't take those um big 100% losses because the problem is when something's up 80 90

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100% you start thinking I don't want to cut this loss because surely it's hit 100% it's not going to go much further but If you've literally got to take the loss other system doesn't work. >> Yes. Yes. I I I like strictly follow my strategy everywhere. The the point is that you have to be strict. Um and and actually from there from this stop loss, you can actually determine your size, right? You have to get a you have to use a small size all the time. Um which I do. do. do. >> Yeah. >> Yeah. >> Yeah. I guess that's another thing because I can tell because if you've had a if you if you

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lost 100 if you lost 100% then obviously you're taking $30,000 roughly or $27,000 or $27,000 or $27,000 >> in 27 28,000 on each short and then you can make 10% you'll make 2K 3K but on on the if you ever lose you'll lose 28k but you'll win much more than you'll lose and that's that's basically >> Yeah. >> Yeah. >> Yeah. >> Yeah. That's right. That that's the thing that's that's just part of this um part of the uh evaluation of a strategy right which is riskreward ratio which is what you mentioned but that's just just one part the other part is the winning rate and the K criterion is calculated based on both right

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both winning rate and uh risk risk reward ratio and they combine these two and give you one number and that number tells you how good your strategy is. So actually my back test tells me during the past 10 years uh except one year my strategy achieves a win rate larger than 75%. which is ridiculous, I know, but like first of all, it's like it there's no slippage and and fees. But still, my point is uh if you combine this win rate with the low riskreward ratio that that you just mentioned, you still achieve a very good Kelly criteria number. That's why it gave me high confidence of keep going on on this. >> What What

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was the account that you were starting out with when you first started uh doing this? So, uh, on January 1st of this year, I, uh, I clear out all cashes and only kept 100K. >> 100K. >> 100K. >> 100K. >> Yes. For this account. Yeah. >> And then, and then you've obviously grown that from 100 to half a million or 600,000. Is it? >> No, it's it's 500k right now, but not six. Yeah. But yeah. yeah. yeah. >> Is there any any other trades you want to I think we're okay, right? Yeah, yeah, yeah, yeah. You know, because like I I I saw the other interviews of you like um a lot of people like

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analyze the the the charts and the candles, but I don't really do that cuz like everything is done by by code. So um um these are the two most recent failure cases and they just went ridiculously high and sloppy out. So that's I just want to show like my stop loss and um my point the point of my strategy. very interesting strategy. H it's one I'm familiar with. It's a it's kind of it's kind of a famous it's I think it's the first red day and shorting gapas in the various ways is are the two most popular strategies that I know but very very few can execute them probably. You've executed them in a way

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that is that that's been possible over 10 years. Um the main question that I've got for you is you need a high win rate. you have to be to some level selective on stocks. Does that mean um certain countries you're not going to short the tickers or does it mean uh certain sectors in the industry you're not going to short you know uh yeah that's the funny part I used to think like what you said I used to think like I cannot short stocks with low float or with a price between you know8 to $2 like some some stock around I I I learned all these criterias from from other people, right? From from all

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the resources I got. It turns out from my back test, it turns out these are not as useful as I thought. So if I them if I drop them actually it was better. So there was a term called overfitting in machine learning which means that you your back test is pretty good like your evaluation whatever it is your evaluation on your selected data set is super good but when you actually use it it's terrible and that's because your model is too complex that it only fits your data set it only fits your evaluation it doesn't fit the real distribution of the the real data right so actually I believe this is what happened back in

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January where I have a very low stop-loss and I have other criterions that filters out those like so-called unqualified stocks and then I remove them and actually now it was better. So yeah, >> does that mean that you shorten the 30 cent stocks and stuff like that as well? 20 cents 30 cents that >> Yes, I do. I do. I do. Yeah, actually I do. I I I actually my lower bound is actually I think it's 0.1. Yeah. Just like one dime. >> One do that. >> One dime. One dime. >> Uh one. >> So like is that 10 cents? >> 10 cents. Yeah. Yeah. >> Nice. And and obviously you're very systematic, very very

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datadriven. datadriven. datadriven. Um, for a for a new for a new trader that wants to get into this, do you have any advice on getting started? >> Um, sure. Um, so I thought about this. Um, Um, Um, I think like yeah, from what I learned from other groups and from all the um the occasions, occasions, occasions, I feel like a lot of people, especially beginners, they trade with ideas. They're not trading with strategies or not not at least not a strategy that I understand. My understanding is strategies you need to find patterns that repeat. But a lot beginners focus on patterns but not the the second part which is repeating. Repeating is actually more important.

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So how do you know if it's repeating? You have to back test. That's why I believe back test is the core of everything. Especially if you are a beginner like if you are already a master who trade for like five 10 years that's fine because you already have those experiences those can be treated as like a they're more than back test results right there experience is the mo the most valuable thing but if you are a beginner like me I'm still like 1.5 year experience I have to do back test I don't know any other better way I have to do that because that will give you a result over five, 10, even more years

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of trading results and from those results you become a master basically right you become if you become the strategy you execute the strategy strictly then you become the strategy and because that strategy has run for 10 years during the back test now you become a guru with 10 years of experience so that's how I see it if if you do fit the strategy within 10 years you can't overfit a strategy based on 10 years. Can you because it's based on 10 years or can you still >> Yes, it's it still could. Um overfitting is a tricky thing. So I don't think there's a like a 100% uh perfect solution to overfitting. But if you can

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back test for at least 10 years, then I think that will be enough cuz like it will um so it will cover at least one bare market and where one bull market, right? One basically period of like the the the change of of markets. So and also you can learn a lot of things from 10 years, right? like probably the present has changed, probably the the the the the global economy has changed, political situation has changed. If your strategy still works, then that means your strategy is robust to those things and it's less likely to overfit. And it's it's it's funny that people have these ideas of trading being uh ideas. And it's I guess

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it's because hed like hedge funds who bet billions and billions of dollars might make a long-term bet on something and they'll have an idea based on hundreds of analysts and hundreds of researchers all coming up with an idea of all of these macro trends. But for us micro cap 10 cent dime traders the only thing that you have is repeatable patterns in the last 10 years of what they've done. So if we don't have the hundreds of researchers and analy analysts and and these companies aren't big enough to analyze, right? So I guess you're using the only thing you have to the maximum advantage. >> Yeah, I guess so. You know what the funny thing

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is? I talked to some guys from Wall Street and they also do back test all the time. Like their manager said if you come up with an idea, you go back test it and show the result to me. You have to do that. like even though it's not about patterns and not about technical analysis, even though they are like trading fundamentals or news or whatever, they still need to back test it. And the most expensive thing on Wall Street is data, which is the like the oil for back testing. So, you know, it basically shows how valuable it is. I've I've heard this as well. I've heard that a good hedge fun I've heard a

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hedge fund will not take a trader on unless he's got uh three three or more years experience. three or four three or more years proven track record certain certain like hedge funds or if he doesn't have three or four three or more years the his strategy has to be back tested and proven to work over x period of years as well. >> Yeah, that's true. Yeah. >> So, if there's one message from this whole thing, it's uh if you're not back testing and you're losing, you probably probably should be back testing. >> Yeah. because because that's that's the one thing that bothers me from the beginning like all the times I I see so many

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strategies you know fancy um signals indicators you know MACD RSI whatever and oh man like I was troubled and confused all the time like how can I do this right like how can I combine all these and which is better and which is worse and then I I I realized okay just go evaluate like evaluation is the most important part like right? Um otherwise like you just keep coming up with new things and you don't know if it's profitable or not and so it's it's less meaningful. meaningful. meaningful. >> I 100% agree with you. My back testing when I as when I was creating a couple years ago, all my back testing was done manually

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on Excel. Uh I tracked about 500 records 500 records 500 records >> as long as you back test for enough years. That's fine. I think >> yeah that's that's the problem. I back tested across 2 years, 500 or so records and um but then the criteria changed and I hadn't back tested enough years and I started to lose. So that's the >> oh it worked and then it and then it didn't work. But um but from what you're doing so what can I just one final question for anyone who's wondering? So where are you getting your source of data from to do the back testing? >> I I use polygon.io. >> Okay, there you go.

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So it's through via polygon. And do you have any I think the interview's been fantastic. I think you you you might be a beginner trader. You might also be the next Steven Ducks cuz I' I've not seen anyone with a profit record like yours. Um do you have any final advice before we we close out? >> Um sure. Yeah. Um I guess like for beginners just keep fighting on keep going on. Uh like if you have a big loss for some days like don't give up. Um it's it's super normal. Like if I I like when I recall my first six months, it was like horrible and luckily I broke even for the first six

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months. It's incredible. incredible. incredible. >> It's incredible that you didn't have a draw down. Um really really appreciate you coming on. I'm really excited to see where you end up on the leaderboard. Uh are you on Twitter or X or is there anywhere where people can follow you? >> I I do I do have X. Um, >> well, yeah, I can >> we'll put it in the description right now. It's going to be in the description uh of the of the episode. >> Sure. >> Sure. >> Sure. >> Thank Thank you for doing this all transparently. transparently. transparently. >> Yeah. Thanks for your time. >> Again, like thank you for like doing the Kingville stuff,

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you know, like it's it's super helpful for me and I believe it's super helpful for beginners, other beginners as well. Yeah, I really appreciate it. Cheers. [Music]

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From $500K To Almost BLOWING UP

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📅 Uploaded: 2024-10-08

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👁️ Views: 1,562 (Rank #1 of 1)

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💬 Comments: 16

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📼 Playlist Progress: 1:21:44 of 0:40:52 (200.0%)

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👉 Check Arsalan's verified trading performance on kinfo: https://kinfo.com/portfolio/19094/performance

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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In Episode 2 of Undiscovered Traders, Stephen Johnson sits down with Arsalan, a verified trader from Ontario, Canada, who reached nearly half a million dollars in verified profits before encountering significant losses. Arsalan opens up about the highs and lows of his trading journey, from his entrepreneurial start to jumping into the world of stocks during the meme stock craze. Check out some of his charts, stats and learn how he’s working to rebuild his success. If you’re looking for real insights on the challenges of trading, this episode is packed with valuable lessons and strategies that every trader can benefit from.

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CHAPTERS:

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00:00 – Introduction

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02:00 – From Entrepreneur to Trader: Arsalan’s Start

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05:45 – First Trade Mistakes and Meme Stock Mania

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10:30 – Learning Through Losses: Trading $NAKD

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28:00 – Major Wins: Turning News Into Profit

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33:45 – The Turning Point: A $200K Loss and Its Lessons

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39:20 – Risk Management and the Importance of Stop Losses

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Key Learnings:

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- The Importance of Mentorship: How learning from experienced traders helped shape his strategies.

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- Adapting to Different Markets: Arsalan's journey showcases the importance of adapting strategies to different market conditions, especially after initial successes.

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- Don’t Ignore Stop Loss Orders: Arsalan’s biggest loss came from not respecting stop-loss limits, teaching him the hard way about its importance.

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- Avoid Holding Large Positions After Hours: His story reveals the dangers of holding large positions overnight, particularly in volatile markets.

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- Invest in Proper Tools: Arsalan stresses the importance of using professional trading tools like scanners to improve efficiency and decision-making.

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#TradingJourney #StockMarketSuccess #DayTrading #ScalpingStrategy #RiskManagement #MemeStocks #TradingLessons #Kinfo #UndiscoveredTraders

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🔗 Follow kinfo: https://x.com/Kinfo

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🔗 Follow Arsalan: https://x.com/arslinnn

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🔗 Follow Stephen Johnson: https://x.com/Jonk87

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Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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welcome to undiscovered Traders and I just kept short scalping short scalping on interactive brokers a new podcast that focuses on the CH stats and Edge of the latest sixf figure verified traders who have not been interviewed before if not not not really it froze I didn't know what to do and luckily my broker started taking me out and today we're talking to oand from Canada Ontario who was up almost half a million dollars but after some recent losses he's setting up little under 200k I'd imagine huge learnings and lessons that we're going to go through today but first also how are you buddy good sir how you doing not bad at all not bad at

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all and it's coming to someone here in Rio de Janeiro and you say you're in Canada but you wanted to uh travel a little bit and hit hit that Mexico hit hit Rio something like that live the trader lifestyle live that laptop lify absolutely man I'm try to again where you are it's going to get cold where I am so not so where I want to be ah dude it's I think we've got the opposite the opposite podcast but uh dude I mean when did you get into trading what's the story how did you get into it and and how's things going right now before we jump into your k for startat and then we'll

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we'll go into some some some charts okay so my whole life I've been more of an entrepreneur uh prior to covid I had an electronics business you know I was buying and selling aonics primarily iPhones and since Co hit everything got shut down and I was left to pretty much play video games with my friends so that's what we did to passive time and one day I was playing I believe it was Call of Duty uh war zone or something and uh in the headset my buddies are talking about how this was right when the meme stock thing was going on around January 2001 and my buddy was saying how he bought a meme stock

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and he's up a lot of money and then there's a bunch of them talking about how they're up a lot of money and I was just like what are you talking about money about money about money because in my head I've always thought of the stock market as like scam or prior to this like as something that wasn't achievable by a normal person I don't know I guess it make it seem so complicated by using words like Alpha data all this stuff right and uh like you know what I mean so what I thought was okay so what's really going on here um I started talking to them I started getting into it I didn't

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even care about the video games anymore I wanted to know what this was all about and after talking to them a bit I bought this stock called n akd yeah um I went to the bank and I opened the brokerage account it was like not even like a platform it's like you go on the the browser you press okay and it's like it refreshes it's not even I literally just sparket ordered n akd uh I think it was I I spent a lot of money because I'm I'm a big hitter I was I wanted to make money like them and I I think I bought like 14,000 shares of it like an idiot I bought

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way too many and literally at the market open I bought it at the opening print and within an hour I think I was down like six grand or something like something like something like that yeah so I got rid of it and then I like okay so now I was me I could lose that much money but I thought to myself okay like what's what's actually happening and I started digging right and I ran into some streams by uh there I know Sean dear has a stream I I started watching that one he had a free trial for I believe for seven days or something so okay he and he taught stuff he had like

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a website with videos so I started earning because I was at home anyways right so I started watching the market from 7: a.m. to 5:00 p.m. and I would sit there and I'd watch his stream you'd have all the scanners up and everything you didn't have to buy anything he had everything up and I would watch him trade and eventually what ended up happening was I got confident enough to because he would he would promote people to paper trades I got confident enough to go to get interactive brokers like a real broker I opened up interactive brokers I put maybe a couple thousand in there because we don't have PC in Canada so um and

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what I ended up happening was I started just paper trading with the demo Cal and I started I was going long at first but I saw that he shorted a lot so I wanted to understand what shorting was um but on then trct the Brokers they don't have the same short inventory as they would in the Brokers that we have now the premier Brokers right so I didn't have much options with shorting but whenever there were shares available on something I would just short it and take like 10 cents on like 500 shares or like like a 100 shares and I would just just to kind of see where things were going first I would

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do it in the simulator once I realized okay I can kind of take extensions because a lot of things were po dropping in the co Market I'm not sure if you remember things would Halt and just dump right away um I noticed that so I just I would stay away from the main plays the gappers and like because before gappers were wouldn't just crap the gappers would keep going I remember remember remember auvi it opened up at $3 uh gapped up from $150 to $3 in February 2021 and it gapped up to it hit like 34 at the highs so if you were shorting if you were gaping crop shorting you would have been blown

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up so longing was definitely the way to go there but uh so essentially once I figured out that I could short the side stocks that's what I would do with small size and then once I got confidence and my account started to grow I could put on more siid and eventually what ended up happening was I'm not sure if you remember the NFD cze um but there was an n T stock called hofb and uh unusual unusual whales I think a second Twitter account they tweeted something about uh some nft thinging in regards to one main Runner and I saw the s stock hwe it started getting a few bids and I just bought 1K

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shares right then because I had enough money and in the after hours that they gapped up I think two $2 from $3 like 480 or something and that that's like what gave me like the buying power to start start scalping bigger amounts so then I I just used that and I'm like okay I'm just going to short scalp now because there's no point of longing like I've lost so many times longing this just worked out because I got the news before how what are the likelihood what's the chance of me getting this again and I just kept short scalping short scalping on interactive brokers and then what started to hold me back was I didn't

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have inventory so I had to get a premier broker so once I got the premium broker in October 2021 um there's pretty much go time like dwac happened two weeks after and uh Phu was like the sympathy to dwac the next day I think P went from like $1 to $24 this thing has like was a thick float it had like 200 million float so the way I would scale into it is I would spread my ads I would go like 100 shares at $12 100 shares at 1350 100 shares at, 1550 now would spread them out and it's not like the smart thing to do but obviously I was new to trading right and

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I would honestly just add at ad but I would make sure my ads are spreed apart and eventually I would have a stop but that stop would be so far gone that I would lose a substantial amount R but luckily enough uh Phu obviously Hal everyone knows this but it went up to 24 halted down at 18 and then an hour later it opened up at 8 so at that time my average was like H what was it maybe 1516 I don't remember and I think I was in like 4K shares so right off the top I was up 20 grand and that just gave me more my power to continue doing what I was

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doing and then as you can see from my kimpo I got hot and when you get in the zone like trading is very mental once you get into the zone you just start to go right you just start to go and I just kept scalping kept scalping and then I think my first big loss was which ticker was it was I can bring it up right so I can see you can see the screen right pardon can you see the screen okay on not yeah I can see y I can see that y okay awesome so we can see your profits 177k 90% win rate or just under 90% so do you want to do

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you want to talk us through kind of because you can kind of you you've already started let me let me know where you were because you got right up to 450 million n and then what what happened yeah that was top and uh that was essentially just negligence on my part um I was I was hung over that day but that's not an excuse um that's definitely not an excuse but I know it's worse than the movie yeah I was man the thing is like it just actually showed me because at at the worst at the end of after hours I was maybe down like like 40K and if I just got out before after

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hours I would have been I was still up 40K on that month I would have just taken one month away and I would have had the confidence to climb back from it but I just let it I let it run and as soon as the after hours kicked in it the that that uh stock rocketed like 105 bucks so I think I had like 10K shares in so right away it just turned into like a six figure and I was just kept hold I froze I didn't know what to do and luckily my broker started taking me out and then once I saw my broker take me out like a small amount I just hit

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I I started slabbing my button just to get all of it out because I'm like mad why did I just take all of it out Qui it it is there's no excuse for it right but uh it's just negligent and it's just bad habits uh that's what got me to that point honestly was the bad habits right um there's a few times where I swung a few positions I'll be honest and I got out in Pre Market the next day well can I just ask as I've done everything that you were doing and uh I remember looking at a cobra bank account as well and as as with Cobra for period And I was like

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as as up 100K on me on overall and I had a $40,000 account and I remember being like having $300 of BU power like $300 of real Equity left the account us down for like for like for like $39,500 I think why isn't Cobra taking us out why isn't this Broger taking us out I've got no equity that was ear in maret they didn't take us out and I recovered 18 Grand of it but I still lost like 26 Grand in a day um dude it's hard to recover but so for for this we like was this kind of is this kind of like a little and the Schultz and then with the with the

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with the way like the size was more or less the same uh by the after the waac and stuff I did I I did size my count up like my account was getting bigger but I wasn't sizing up if you look at my trade I wasn't adding more SI because what I liked about what I liked about the balance was that they were paying me out interest every month so the more money you have in your account they pay you out interest so I'm like okay at the height of it all I think I was getting like 3K just for doing nothing wow um in interest so I was like wow this is why people

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keep big accounts right well that's to that's to well that's why to they want to attract you keep more money in your trading account so they incentivize you by giving you interest yeah exactly so I was I was loving the free money and uh you know you get treated like a better client they would give you free shares to shares to shares to short um stuff like that so essentially it it got to my head and I guess I mean it's it was meant to happen it happened uh yeah so top sorry go on so on that that was like a 200k loss I remember feeling kind of sick but it's money that you already

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it's kind of money that you already won but it's money that you could have withdrew but like so what exactly was the mistake that you made uh on this on this loss you've already mentioned one of it was holding it over night but do you want to quickly just walk us through it no I I didn't I didn't hold toop overnight um toop was an inad day but the biggest one was when I when I uh shorted into the parabolic and I scaled when it came back down I was actually up a few thousand at one point I should have just taken that off right away and realized okay this this stock is a red

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flag like today uh xh when I was trading xag after my third entry I think I had an entry at $2 an entry at 230 and an entry at 250 uh my average was around 230 and I saw the the way the volume was coming in and the way the volume was coming out of the other stocks which were Duo and I believe there's another another Chinese stock so that's what made me realize okay this is like I need to get out and I got out at a $50 loss as soon as that first flush came I got out pretty much of my average I marketed out whatever I had to go um but at

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the height of that I was down like $300 so I I got out in a in a very strategic manner whereas in top I just but the when you get out in a panic you're gonna always get the worst fill you're G to get the worst um the worst uh spread and obviously if you're getting out an after hours and you have 10K shares on the thin name you know you your first fill could be at $25 and your second fill could be at 35 that's pretty that's the way it went down and uh and I had too much size and the way I was doing it the whole time I didn't do it that

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way on T but essentially what I realized now is holding a short overnight you're putting yourself the second you go into the after hours or the few market and you're holding a thin name that thing can do anything man it could go like TN I don't know you still uh not not not not in the last month or so in that but but I understand D like dude I'm the king of swinging I'm the king of being stuck with too much size and short positions going into after hours I'm the king of it I'm very knowledgeable so getting out before after hours is good ideally you don't want to wake up and get a TN

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where the thing went from five bucks to I think $102 and I don't think I think the broker didn't take a lot of people out a lot people got lucky but someone got taken out if that thing hit on 102 someone got taken out so someone probably lost a lot of money so that's one thing I've implemented in my future is okay do I have a plan to swing am I going to swing stocks that are trading in um out of all the China stocks today I traded Duo because it had a 7even million float um and I know it has a bigger float so even if I get stuck in this thing after hours

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or something it's not going to go as crazy as something that's thin right like uh qh or no not Q which one One X AG was trading very thin I think it's like a 1 million float U zcmd is a 1 million float for sure so these are just the China names that were going going around recently so but either way I just want to trade intraday and if let get to a point where I got to swing I got to just take the loss because that's not something that I'm willing to do at this time maybe in the future I'll Implement something like that but uh that's definitely something I'm not trying to no

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but like a lot of people think like it's not going to happen to them or like ah it's not going to happen to me or I'll get away with it this time like you absolutely cannot like average in too much size to a short especially on a thin name especially on a low float and sometimes you don't even know the float or sometimes the company's bought up the float so it looks like it's a big float but it's actually trading really thin or maybe it can maybe you don't realize it's trading thin then after hours it goes really thin thin thin like just no matter what like you can unless it's like Tesla a real

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company like you cannot like you cannot uh and you cannot hold these whole big size stock in a short overnight it's just like and people think it's not going to happen to them but if the look at it's it's I really appreciate you coming on really appreciate you sh the transparency like we need more people like this because you sh to help people like what can happen if you hold too much size after hour yeah essentially yeah this the spread this spillage TP went to 24 so if I didn't get out I got out right at the after hours belt like literally like like 30 seconds after if I did not get out of that

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time uh and I just kept holding this thing hit 240 so it would have cleared out all my money and I wouldn't have been able to trade again so took your account yeah I would have taken my entire account yeah but uh look you've got to think at the end of the day like you've still done what most Traders will never do like it it's it's like tough to hit nearly half a million and then be back down to like 174 175 but you just got to think like you know enough to make the money really one silly mistake like one kind of silly mistake yeah but uh it's going to be a it's going

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to be a cup in handle though it it's been yeah exactly it's been three years I mean I put into perspective I've been trading for three years now as of September my Premier broker was my first premier broker I open three years ago it was September 2021 so I just tell myself you know what man this is not one of those things that uh you know it's not a get-rich quick it is a getrich quick scheme in a way because you can things can happen fast but it's one of those things that you need to put in the work a lot of work like lately I've been putting in more work than I ever did

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to be honest at this past month especially so and it's catching on definitely catching on but look if if you've already cleared just under a couple 100K and you were up 500k and You' put in Crazy amounts of work and you already have the talent to show that you can make the money then um I'm pretty confident that you'll you'll bounce back and it's fantastic to log this episode now while you're in this position because you can always look back on the episode and be like look this is where I was this is what I thought and then in a year time from now and say this is where I am now how will be

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you now by the way I'm 30 so I'm about to turn 31 you've got you've got lots of time to turn it around and I mean what what would you say were was the top couple of lessons to summarize from from the recent losses just to to help p a new Traders and then look at some charts okay perfect so essentially what I never never did which I should have done it it's extremely embarrassing because I've paid for a lot of mentorship courses right like I've done mic I've done investor on your ground I've done uh you know the deck War thing I've looked at a few other things too but there's one thing that

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did preach that I thought I was too good for and it's to wire out and it's to use stop losses I didn't do that I did wire out quite a bit but since I was pretty well capitalized in my life I wanted to use the money towards my trading but I wasn't experienced enough to trade that much money right at the time so I still don't think I'm experienced enough to trade that much money so that being said I should have wired out and I should have had a Max broker loss and I know everyone says this but I have one now I have on both my accounts I have one um yeah you need

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a Max ROK loss but it should never get to the point where you where it kicks in you should be soing yourself out before it comes that's the thing so what people don't realize is if you like if if your broker is taking you out if your max broker loss is coming in then you're not in control of of your trade because you should be cutting and then getting back in cutting C getting back in type thing right um so yeah all the mentors they reached that and and I had all the resources so it's really is my fault so I would encourage someone to do that um when paper trade or trade with really

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small shares starting out paper training is good because it gives you screen time but it doesn't get you experience with getting fails because getting fails is a big part of trading um you can't just be trading anything and everything especially with if you're going to use size there's some things where I only trade like a couple hundred shares well nowadays I only use a couple hundred shares but even back then I wouldn't trade a thin day with thousands of shares sometimes you know because some scalps are okay you get 50 bucks there 100 bucks there that that stuff adds adds adds up no no 100% agree and I think I agree with you on that

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Max L use it as well and it's just reinforcing a bad habit like if you let yourself get took out by the broker you just reinforcing that you don't have control of the trade like I I completely agree that you should have it but exactly the way you've said it it should be like in case you fall asleep in case you pass out in case in case all of a sudden you run out of the shop and you forgot that you're in a position like absolute last Cas scenario you should be getting took out I agree with that that that um so we'll take a quick look so we'll take a quick look at um

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some of your charts that's uh and let's say exactly the kind of trading style that's made you poent like that got you up half a million and then and then that's up 200k right now so uh let me just uh bring up the chots yeah I would even encourage people to invest in software like trade ideas it helps a ton because I remember at first I was cheap and I didn't want to do it and then once I did it my game like Amplified because you're kind of watching The Market through this through like a lens right um it's just the cost of business of business of business and uh get a evening job there's

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another thing I'd recommend um you know focus on the market so if you got to work outside work the evening shift and so you can be there for the market because you got to put in screen time without screen time it doesn't really work yeah it's totally totally totally uh totally agree okay so we're just going to have a quick look at your charts right now this is a particularly interesting one I'm not sure what name this is but are you are you going short are you going you scalping long yes I'm I'm scalping short so this was back in 2021 this is pretty much how I started out I would just uh have limit

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orders in on momentum uh I would Set uh limit orders so let's let said I have one at 11 one at 1120 one at 1140 and they would all be relatively small like let's say 200 chairs on relative to my count size at the time at least and once I would fill on a couple of them let's say I filled on a parabolic into 1120 1140 so my average would be 1130 I would just take the flush on 1120 10 cents and then I would expect the stock to go higher so then I would start out again at 1160 1180 1199 because I IID always do 99 for the full dollar mark because I noticed

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it would sometimes it wouldn't hit the full dollar mark it would always stop at 99 um that's just something I did uh it worked a lot it worked a lot more than you can see again this is just one chart I forgot which ticker this was but this is I think the end of the day day into like the this is like the last two hours cuz the last two hours is when stocks were really get going because all the people that are stuck short from the beginning of the day would be stopping out and that's when I would start doing these scalps and I just get in and but the only bad part of

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it is I would never get the other side of the move so it was it was really Reckless now that I think about it um but it's just what worked for me back in the day right it was a different Market all but you're like fighting the trend yeah right you scaling fighting the trend but you still found a way to like make money based on kind of the T bre in the level two exactly and you're kind of like reading exactly you're reading the price action and the price action back then was way different than what it is now way way different um it's so hard to explain but things would just give you

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more parabolics and then they would give you that flush to get out and I noticed even when I would paper trade and when I would watch like tickers I realized if you get a couple pills in a certain range you almost always get that flush it might not be like a massive fate but you might get a 10-cent flush on your average so you can just get out right there and you can just plan higher if it goes go higher I'll just move on to the next stock and do that okay if that doesn't go higher next stock next thing you know you've done that a few times and you have a couple hundred Bank

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on your day right so that was the logic I had coming in and man that market was something different like we're never going to get a market like that again at least I don't think so so that's why I think uh I capitalized well at that time obviously it'd be nice to be able to trade the backside and bait it but I mean for someone just coming into trading um I'm proud of it obviously now when I work on things like G up short which is which has been a pattern that's been around forever so that's something I'm I'm looking into extremely hard I'm I'm doing data test on I'm I'm taking every Gap short

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candidate's chart and putting it in my computer um that's something I'm looking into now but uh yeah this stock is in the gap of short this is the this is Duo from today so this is the way that I I scalp um it looks a bit Reckless on that parabolic on the 11 A.M Mark but each each um each arrow is 10 cents apart on that 11 am push so what's at six arrows and each arrow is about 375 shares so I think at the end of it all my average was 325 at 2,175 shares which is it all that much not bad yeah not bad it's not bad it not so yeah so I

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was like okay I was gonna I was willing to add up until F 399 and then at that point I I would give it another look because at that point I would have what I would have 3,750 shares and my account is is is it's it's not massive but it's up there you know so that's 3,000 shares or even 4,000 shares for an account for my size isn't isn't a big deal I could take I could take a dollar loss on that and be okay that would be $4,000 loss but um just the statistics of it happening are high they always give you the FL before they run it back up again and if that

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was to come like when it came back down and filled me right there at 325 I was going to start scaling back in higher if it went back higher at like 389 399 4.1 so on and so forth um is that you all is that you out all on like on that green ticket on 11: clock it it's all of it yeah so you out all more or less each time you you end all you end on the arrows then out everything each time on the on the green text on the green exactly yeah and it's like it's just something I've been doing for so long it's not like an amazing strategy um as I've

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realized as long as your stops are you have a plan for your stop and you have a broker Max loss um it can help mitigate the damages um ideally I usually do have the bullets spread out a bit more than that but on a particularly Duo I realize okay this thing is a is a bit heavier than all the other China names running and uh the other China names running xh at the time had a lot more momentum so I was going with with my gut that this go go up and come down hard and it did come down it did come down just I didn't want to wait because once I when once it

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hit I got my 10 cents I I you know what I mean I panicked a bit I'm not gonna lie my original plan was to take the cover at like 310 or 305 maybe even $3 where the 90 ma is right there on the chart but um I took it earlier and as you can see well it's back up AT3 now um you're never going to get that home run here that's not not not that is good to go for home runs but you're never going to get that 10 20 30% trade hold something I got to work on yeah there you go cuz there's uh there's nothing worse than thinking that you're up on

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a trade you've got a lot of size Zone but it's start work and what I've seen a million times is that double bottom then you've got the higher low you can actually see on the chart you what after the parabolic you've got the double bottom then you've got the high and low it's that ABCD but then it then it fails but I've seen a million times that that go to 4567 just just didn't just didn't a day uh exactly right and um yeah that that dump is from the the markets too so that's like a macro related dump but see how it recovered right away so this thing is still in play for tomorrow um

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but yeah so I'm I'm trying to get away from these type of plays uh plays uh plays uh obviously you know they're in my playbook as long as my stops are in check I can at least uh be profitable on them and if if I have to reevaluate in the future I will but what I am looking into obviously is a gap short that's just another one of the same strategy this is backward sorry goad no seeing this looks more like a long is it am I missing an arrow that that's a short too yeah that must be a short no I can say yeah it's on the same it's it's on the same condo

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yeah yeah so back then we were getting a lot of parir ballets and then dumped straight down and that's just me expecting it to go higher so then I had a a living up higher and then it just came down a lot of this is reactively um you know being instinctive towards the price option so I can't a lot of it I can't even vocalize if that makes sense but uh yeah I said I've kind of move on to different things in my playbook like the gab of short is something that I've been looking at very extensively and I want to do it different than how everybody else does it because everybody else if everybody

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else is doing it the same way you're not gonna it's not going to be profitable so I gotta figure out a way that's different that's what everybody else has to do is essentially figure out how they're going to do it so I got to take my profit that is a first R day I believe yeah might be a gap of short actually but that might be a first this is a lot simple right you've got you've got your resistance lines you've got is that yellow line vwap or an EMA and then you you shorten the pp after it's already broke down it's bit more simple exactly easier on the heart this was before this was

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before the before TP that's when things were clicking you know what I mean um yeah so exactly that was pretty laid out I think it was a multi-day runner so it might have been a first red day but uh OC the other day was a was a gap up short which I did well on the entry but the exit I did not do well on I wish I did better on the exit um and there's a lot a lot of them they're coming they're coming by every day and from what I've been tracking them they've been doing really well it's just sometimes they'll run it back up and there'll be games so ideally if something

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is if I'm short something and it's moving up at 10:30 I don't want to be in it or if it's making new Highs at 10:30 I want to at least be cautious and what I like about trading Market hours is you can set a stop right rest once you set a stop you're like okay you can just set it and not walk away but I can look away a little bit so which which is the ticket always say to you yeah if you go on the the chat presume you can see I sent you the the the chart okay so we're looking at OC this is your this this is a gap short this is

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what you that's this is what you're moving towards moving towards moving towards now yeah so essentially you can see I got my entries in the beginning um as it failed uh because once I got a certain percentage out of the way I take my profits and essentially if I can do every day I can have some sort of padding right towards my day so it just it's not like I'm going to get the full fade although there is Edge in getting the full fade if everybody goes for the full fate there's going to be games so I took everything out you can see right there and there's there were games so I had limit order

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set up uh up I used to Halt bands as a guide a lot of times especially when it's a thin name I think this was like a 1 point something million float so all those orders got up top on the 10: a.m. can do til the last Arrow was right before the halt so they they hit it up to the halt level got everybody stopped out I had a fantastic average I think it was like 440 450 but I took the the flush right away which honestly if I held it I could have made double right and I didn't get back in at 11 when I should have got back in at 11 at least

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a starter at risk high of the day which I didn't do and then look at the fade at the end of the day it was beautiful so that's something I'm trying to work on now um but um did you have any type of criteria or anything that you're looking for any kind of edge that you try to research in these Capas I know cap I I made by when I made the 100K I made it on Capas so I know them I know them well okay okay great so yeah um float is one of the things I do look at I know people like the low float ones it's just uh personally I've noticed when

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they're like Nanos and stuff the cost to borrow gets very high and I don't like to put first of all I'm only going small size right now right with with this setup until I feel more comfortable but um I don't like to put too much money down on locates right away because then what's going to end up happening is I'm going to trade it wrong I'm going to want to get it right away way and then I'm going to scale aggressively and I want to scale proportionally I don't want to scale like uh I don't want to throw too much size at one place I want to be ready like on OC I was ready

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for this thing to go to five bucks I was ready and I I would have my first entry was 419 uh my second entry was 439 my fourth entry would have been 20 cents apart so on and so forth up until 499 I would have been scaling my average cuz I'm ready for other people to stop out but I know for after that 520 where where my next ad would be that would be a buy order because that's where I would stop so once I have that criteria in place it just seems like it's almost like you just do it right you don't have to think about it and most of the time when you

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get that initial flush uh that initial flush I just take it like that was a 30 30 Cent plush I'll take it and if it's like uh on a couple thousand shares 30 cents I can at least pad my day and start my day with with a little bit of a cushion and then I can go back to doing what do with my scal or I can just walk and go do something else with the rest of my day but I do like covering the initial FLH I don't like sticking around all day that's not something I like no but I understand what you're doing because what you could have done is add to a

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winner saying I'm going to play the all day fade going to take the whole day average to the winner you put too much size and the falls and then you stop in the 4 40 use and you give everything back so in some ways it's like say fact to just lock in your profits at and say I'm done actually I remember when I was Trading gab as making the most money um I was doing exactly this shorten shorten the open covering the de shorten waiting to see those other squeeze if there was and it looked like was topping out sh in the squeeze covering the next step and leading and know and know I remember

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leading 102% every single day on trades but sell made 100 Grand and I wasn't trading that much size I was there a small account it grew and grow and grow and grow was like a $600 account so I I don't I don't criticize this strategy at all and obviously it's we for you but um I'll just uh exit screen share one sec we'll go back full screen so very very man you've had a you've had a a really interesting Journey really interesting trading style so just to sum it up the the averaging up the averaging up and then getting out for the 10 cent profit that's something that you're not doing so much now or

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you trying to get away from it um I'll will do it but I will do it with such small size that when I do stop I'm not giving back like a week or something you know what I mean uh I did it on du Duo today but every bullet was like 375 shares or something like that so at the top of it all my size was was 2,000 something shares so at that point I don't mind taking a dollar on my average you know what I mean so even if I lose a dollar on 2, uh 275 shares I'm only losing $2,000 so at least I I I mean right now I'm not making that

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in a week but I know it when I start throwing enough enough trades out there I can that would be about a week's profit so that's pretty much what I risk I know they they say you should risk like a day or two worth of profit but this is just the way that this uh strategy plays off for me but there are a lot more opportunities with this style that's the thing you get a lot more tries if that makes sense right no Mak it makes sense but I mean it's like um I understand what you're doing completely and I can see how you've really really really got the probability on your side but the

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one time it doesn't work it's going to hit you but I mean it's but you know that it makes more than a week's profits before you lose a week's worth of profits the strategy makes more weeks of profits before so it's it's a been up and down because you feel good a lot of time with these small scalps and then every now and then you're bit bit upset because you just give a week away but longterm it works that's the most important thing long works exactly and that's what I've seen so far right now and this is like a much harder Market than there was back then back then the stocks were much more uh

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I guess you could say volatile like in the sense that they would go 550 520 555 515 so you could even you could literally juggle a stock uh what would what would you call you call you call that right stocks would do that a lot more before than they do now now they kind of Prov in a very algorithmic I guess way I guess you could say computers maybe I'm not sure yeah yeah yeah I understand what you're saying and then and then the other Str so most of your so most of the money that you've made in terms of that five from on the run up that was literally the strategy that you were

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doing the the sculping strategy that which we just discussed yeah crazy you made half a million doing that yeah um crazy actually bad but St collection too sock selection too but um and then the only reason why you lost a lot of it is because you held it after I was dop correct yeah Christ it's crazy yeah one play when one play does it it it does uh it hurts but at the same time you know there is a human behind this thing and I up but it's okay right I still I still got chips in the game you know so as long as you got chips on the table we're still going yeah but

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I mean the fact You' you've had a you've had a strategy that that has proven to have success over long periods of time and yeah you might take it you may take a week's loss but so what you've got the broker stop involved now and and the only time it really went wrong is when you didn't follow the rules so it's not like your strategy did that it's like you let it go to after hours yeah that's it there was a lot of sides to get out of that play a lot of sides that I did not listen to but that was one of them that was one of the main ones for sure uh

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just before we CLS out uh is there any any more tips you can give on either of the strategies that could help new Traders with the r or do you have any like golden noet for anyone anyone stall anyone stall anyone stall N I think I mentioned this already but uh like I said uh get an evening job and put in the screen time just just invest in trade ideas use a scanner the trade ideas you you look into the market like I have it set up right here I look into trade ideas I know what's running after hours and I keep trying of it for tomorrow um keep a journal track everything track your

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charts track the daily Runners uh track what qualifies for for Gus or gab up short stuff like that just do the work um invest in the software don't be cheap um experiment a lot because you know you got to experiment with different strategies and stuff like that you don't want to do the same thing everyone else is doing and that's pretty much it you know but the the trade ideas is huge it's just the cost of business you gota you gotta watch the market in a different way that's just my opinion personally but I think it it helps speed up the learning curve no it's uh it's it's been a it's been an eyeopener because

S19-P0107 original line 46, characters 120129:121980
at first when I look at the strategy that you that you're showing it's like average averaging up in the parabolics that looks a bit that looks that looks like it could be dangerous but someone like me who has no discipline but then to say that you've made half a million from it it's just like oh to say that you you you'd made so much before in a that related it's like well no it works it works and not many other people are going to be doing that strategy so that's a red right M exactly so very cool man I really appreciate you coming on really really appreciate you showing the strategy making it public really

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appreciate you being on Kim for and if anyone else wants to jump on Kim for join Kim for for free for month as well and uh other than that unless there's any final comments so just thank you for your time thank you so much appreciate it

S20 | From Brain Injury to 6-Figure Trader: TBOWS’ Comeback Story | Complete normalized text

Original: From Brain Injury to 6-Figure Trader_ TBOWS’ Comeback Story.txt. Citation label uses paragraph plus original line. Character offsets are zero-based within the decoded original line. All removed repeat spans remain in the work normalization ledger.

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From Brain Injury to 6-Figure Trader: TBOWS’ Comeback Story

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📅 Uploaded: 2025-03-26

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⏱️ Duration: 0:45:33

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👁️ Views: 1,999 (Rank #1 of 1)

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💬 Comments: 17

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📼 Playlist Progress: 1:31:06 of 0:45:33 (200.0%)

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In this powerful episode of Undiscovered Traders, we sit down with Justin, aka TBOWS (The Bear of Wall Street), a trader who’s quietly racked up over $150,000 in verified profits.

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But this isn’t just about trading gains. Justin shares the raw and deeply personal story of recovering from a traumatic brain injury, being told he had a “low ceiling,” and ultimately proving everyone wrong through sheer grit, discipline, and relentless backtesting.

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Not just another trading story: this one makes you think, feel, and want to level up.

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Key Takeaways:

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- Pre-Market Shorting Strategy: TBOWS consistently profits by shorting low-float runners during specific early timeframes.

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- Massive Loss Recovery: Recovered from a $100K loss by sticking to his edge and grinding back over time.

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- Obsession + Backtesting: Took a methodical and obsessive approach to finding his edge through data and pattern repetition.

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- Simplicity can be powerful: He’s proof that you can build six-figure profits on a phone. No fancy setup, no multiple monitors.

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⸻

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🔍 Check The Bear of Wall Street's trading performance on Kinfo: https://kinfo.com/portfolio/48053/performance

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⭕ TBOWS' circle group: https://login.circle.so/sign_in?request_host=the-bear-of-wall-street.circle.so

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📱 TBOWS on Instagram: https://www.instagram.com/bear.of.wall.street?igsh=MXdobzV3eWQ3MnMwMQ==

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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Chapters:

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00:00 - Intro: Meet TBOWS

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02:12 - Hitting $200K in Verified Profits

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05:46 - Trading Strategy: Shorting Small Caps

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09:33 - Why He Trades Entirely from His Phone

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13:15 - How He Balances Trading, Real Estate & Work

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16:42 - The Big Loss That Changed Everything

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21:09 - Recovering Mentally & Financially

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25:37 - A Brain Injury That Rewired His Life

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31:20 - Breaking Down His Charting & Risk Approach

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36:10 - Final Thoughts, Advice & TBOWS’ Circle Group

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⸻

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✔️ Follow kinfo: https://x.com/Kinfo

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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⸻

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Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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#UndiscoveredTraders #Kinfo #TBOWS #ShortSelling #VerifiedTrading #Kinfo #SmallCapTrading

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Welcome back to Undiscovered Traders. This is Justin, also known as T-Bouse. I forgot who my wife was. I forgot I was a nurse. I basically forgot who I was. I lost about 5 years of my life just gone. So everything I learned in those 5 years completely wiped off the map and I kind of just had to put my head down and cry. I was told I had a very low ceiling and but with trading, you know, if you crack the code, the ceiling is whatever you want it to be. Welcome back after way way way way too long to undiscover traders, the podcast that focuses on the charts, the stats, the edge of the

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latest sixfigure verified traders who have not been interviewed before. This is Justin's first team on the camera, also known as T-Bows. He is up a staggering staggering staggering $32,000 and verified profits on the month. 199K on the year living in uh Tampa, Florida. Tampa, Florida. Tampa, Florida. Jay is the first question. Is there any pressure to hit the 200k milestone? Oh, and I hit it today actually. Yeah. Yeah. Yeah. Keno was automating tonight. So, Ken was automating tonight and then it's going to show through. How does it feel? Uh, it feels great. No, it feel it feels awesome, honestly, because I have a a goal in mind this year and I'm on track. So, uh,

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yeah, super super excited. Uh, and I love the uh the transparency with uh with Kinfo as well. I check it pretty regularly to see how uh to see how it's keeping up because I use trade zero and I like trade zero a lot. But depending on if you hold positions overnight, it kind of skews the daily what it says you actually made that day where it seems like Kimfo just actually does it when the entire position is sold. So, I actually prefer that. No, nice. And look, I want to get in I'm looking forward to getting your charts, getting into your profit curve, but first of all, I kind of want to just know know

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know like how does it uh first of all, how does it feel to hit that 200k and like and and and how do you how do you plan so methodically like I've got this target, I'm going to hit it when there's so much risk and uncertainty in the markets. How how can you have this like almost reassurance? almost reassurance? almost reassurance? Yeah. No, totally. I mean it it is a weird time in the market right now but weird times usually create uh you know great opportunities. Um it it is a little unpredictable right now but luckily with my strategy it's not it's not hyperfocused or not focused at all on the macros of you know

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the macroecon economics uh since it's mostly uh shorting small caps. They like to pop in bull markets. They like to pop in bare markets. um a little more in bull markets for sure, but uh so you I mean bull markets they pop harder uh bare markets they don't pop as much but they go down quicker. So you know you just got to find your edge in whatever market you can. Yeah. And and just basically how long have you been trading? How long have you been doing this? Because you're making some staggering figures. Yeah, I uh appreciate that. I I've been trading uh trading uh trading uh about four years. The first two years weren't profitable

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though. I mean, there were some there's some ugly days. I had to stick with it. I tried everything from options to going long, small caps, long uh large caps, uh spreads, and uh my edge my true edge is in uh in shorting. That's that's the only one I can consistently profit from to be honest. I mean, I would love to say I profited in those as well, but that's that's not where my edge is. No. And that's that's interesting what you're saying because a lot of people will say um don't flip around too many strategies. Just try to stick to one and master it. But from from what I can hear from you, you kind

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of did tried this, didn't work, tried this, didn't work. I don't know. This makes sense in me head. So how did you do it differently? Were you investing like a lot a lot of time into each one? Was it intense or Oh, that's an understatement. Yeah, I mean you kind of have to be obsessive to figure out your your edge between the back testing uh and you know this the studying of charts. I mean yeah I know it was it was obsession mode for sure. uh and I'm really into like data back testing and that's the luxury of I mean in today's time you can you know whatever your strategy is you can back test

S20-P0049 original line 54, characters 12623:14389
it you can automated back test it especially with um you know there's great chart platforms out there I even use like yours I use trading view I mean I even the trade zero chart you can back test so uh yeah no studying like a crazy person to be honest uh and it paid off it it paid off so How crazy is crazy? How crazy is crazy? How many hours would you say in a day? Because people think they have to work hard when they don't. Do you know what I mean? People think, "Oh god, I've done three hours. I'm exhausted. I've studied. I've studied loads." Oh, yeah. No, in the beginning. So now I I

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I'm just being honest. I uh I don't study charts very often because I know where my edge is. Uh so minimal study and uh I do it all from my phone. I don't use like every dollar I've made has been through mobile. I don't even know how to use the trade zero app. So, uh the like the desktop app. So, um I do it all from mobile and I do that intentionally because like I was telling you, uh you know, I'm in I get into real estate. Uh I lead retail operations for a cannabis company. Um so, I try to make it as user friendly as possible. So yeah, I just use my phone and

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I tried the whole 10 uh screen. Well, not 10 obviously I didn't have 10, but the whole excessive setup with all the screens, everything going at once and like it didn't do anything for me. So yeah, do it all from mobile. Do it all from a phone. That is uh that's absolutely surprising. But uh look, I mean it's cuz you cuz so many people sit on a screen for 10 hours a day looking at seven charts and overt trade. But you're telling me you you you work for a company, you work in retail and you're trading from your phone and you've just made $34,000 this month and you've made $200,000 this year. I mean, and

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it's from your phone. Is this while you're walking around going in house viewings and stuff like that or? Well, so I have I mean there's some discipline involved obviously and I'll gladly go over this uh shortly, but I you know between 4 to 6 a.m. there's a strategy if I want to trade that or 4 to 7 a.m. 7 to 9:30 10 or and then 9:30 to 10 when the volatility is the uh the most intense uh 10 to 4 there's a different style of trading and then after hours as well. So, whatever my schedule allows, honestly, I should be prioritizing trading more than anything else. But, uh, like I was saying, I've gotten into

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like real estate recently with short-term rentals, and it's pulling me, uh, away a lot. Uh, so I still trade, um, but it's not, you know, I I kind of revolve my schedule around uh, trading in the morning and then I do all the activities during the day because I make the most money, I believe. uh uh in pre-market and uh or pre-market till about 10:00 a.m. and then after that I can kind of do my duties for the day. There's still great opportunities during the day, but I like to trade the quick pops. Um and as you know, during the day if it goes up too fast, too quick, it gets halted and it kind

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of messes up my strategy. I can still do what I'm looking to do, but you know, I'm not going to get a a random 100% pop during the day. it's going to get halted before it does that and then when things get halted people tend to realize what's going on and it doesn't get pushed as intense. So So are you looking at the day one gapers? Is it like the gap crops? Are you looking into them? Yeah. Yeah. Yeah. So um the gaffers for sure and you know uh the pre-market they're just wild. Uh they'll go up um you know 50 100% 200%. It's just beautiful opportunities. Um and then majority of the time they

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come straight back down. But if they don't, you have levels at that point. What's the what's the high of the day? If it's bouncing, where is it bouncing at? Where is it breaking support? Um, so, uh, you know, you really have to learn how to read a chart and it's not rocket science, but if you can understand levels, and the only indicator I use is a moving average. I use a moving average, and I use that mostly for taking profits because that's where they usually bounce or if they break through, you know that, um, you're sitting, you know, in a much better position. Yeah, we'll we'll go into uh we'll go into your profit curve

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next, but I'm just curious and we'll go into some charts because I'm curious how you manage your risk because this this kind of day one premarket shortening I see a lot of people being like like I'll hit it here, I'll hit it here, I'll hit it here and that seems a bit scary. So, I'm curious to where you go, but how did you even find the strategy? I know you said back testing. Was that like on an Excel or is that on a platform? So, well, it it honestly I I use that term kind of loosely. It's just once you have a strategy just looking uh looking back at charts to see how often um

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you know something plays out for lack of better words. There's it's not super complicated. I was trying to make the buying small and micro cap strategy work and some people do those those traders I'll say they're better than me that succeed. But me and you both probably know that uh most people fail miserably uh trying to trade long those I mean um uh I I believe the stat you probably can speak to it better somewhere between 90 95 99% of people fail and I think it's because they go long for these small because that's kind of the cool thing it seems right now is is like these small micro caps they might go a thousand%

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true but a lot of times they also go to zero dilute all friends. So I just try to find uh my edge and after looking back at charts it was just like it finally clicked uh you know um everybody's going long so what's the other side of this equation and if you look at small caps when they pop they usually come right back down. Yes, you can make money long, but I think it's much more complicated where even if I don't time mine right or execute perfectly sometime, most of the time if I give it enough time, it'll it'll come back to my profit zone where if you're going long on a pump, if you

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miss that take profit zone, it might not ever go back to that. By the time it pops again, it's might already been diluted offering. So, it's almost like a safety net in a weird way because uh probably a lot of people don't say that with shorts because you can have unlimited losses and uh I've had some bad ones. That's no doubt. I've had some uh some nasty ones. But again, nothing is perfect, you know. No, I know. And and that's the thing like I think it's it's funny how like the industry changes over the years because I think there's definitely always been this h mentality of going long because people are just more comfortable. It's

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easier. It's more logical to think of buying things that go up because everyone buys the spy, someone's dad bought the spy, the dad's dad bought the spy, are invested in the stock that everyone's got those stories. But it's also with shorting then you get this other group who all figure this out. But the main problem with all of these people is that they struggled with risk and and I struggled with risk as well. And I mean I remember having crazy results where I turned $600 into big amount of money but then lost 30k in a day. So, but we'll get into it. Let's go into your charts because I you have a similar uh kind

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of loss in October, but you've gone on to recover. So, I want to know what you can do that I failed to do. do. do. Yeah. Yeah. Absolutely. So, um, let me screen share, uh, because because I think you'll help a lot a lot a lot of people because a lot of people can look to short, but the they're struggling with that, um, they're struggling with that area of discipline to for the black swan. Okay. So, so talk me through this. So, June 2016, 0 to 150K, what are you doing? What's up? What's up? What's up? What? Yeah. Yeah. Yes. Since right here. So, funny enough, this is when I uh created my entity. That's

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what the TBOS stands for. It's the bear of Wall Street. So, I was actually having a pretty good year in uh in 2024 before I even had this uh Kinfo. And ever since I've had Kinfo, I'll always have it now because it's it tracks it. Uh but I never really knew much about it. But when I created this entity, I started tracking it. And as you can see, I was having pretty good solid success. I try to value myself on not having just these crazy insane days and then having, you know, back and forth negative days, uh, green days. I like to kind of go on a run. And as you can see, I got

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all the way to what was it? 142K in in a few months, June to October 13. And as you can see from the curve, pretty uh pretty consistent. And boy did I uh make a mistake. So 140 down to 67. Still not in the bed best head space. And I took another massive loss. So I'm back at uh 39K. And listen, I didn't even tell anybody about this. My wife knows I trade. My friends know I trade. I just kept I just kept it to myself. And uh I don't know if that's the best strategy because like I I I was I'd be lying to say I was completely stable after that loss, but again

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that's that's part of the journey. And I actually have that chart pulled up and I I don't know if you want me to go over it now or later. But yeah, go for it. Yeah, let's take a look. Yeah. So I think I think it's this one. Yeah. Drug. Oh, I hate even seeing this ticker. Okay. So, as you can see, it was trading in like the$1302 range right here. And um you know, October, it was a while away. And I've tried to to you know, I've studied this chart to prevent it from happening again, but recently I haven't looked at it too much. But as you can see, let me zoom in a little

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bit. Um as you can see here, like hella bullish. like this thing is crazy crazy bullish and I actually I'm a little insane. I like seeing halt ups um because that tells me that the fall usually is going to be so brutal. So brutal. Yeah. And I was averaging up into this position and see this already went from like two to like 17. So I learned a lot from this um because I was already super red in this position um right here. And when it broke right here, a new high, I should have just left. I should have just got out, re-evaluated the position, but I didn't do that. Um, I like learning the hard

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way and I kept holding, kept holding, kept holding, kept holding. And then Trade Zero liquidated my account. Right here. Literally right here is where they liquidated it. Then uh the following day, I think when I had that 26k loss, I got I think I got in somewhere right here where I thought it capped out previously and then it went on to shoot up even higher. So yeah, drug uh drug it destroyed me. It really did. And I know and it's funny because probably somebody will get enjoyment out of this because shorts are so hated. Shorts are so hated. But it's more just uh this one got me. This one got me. And I'll admit it.

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Um, I should have gotten out way earlier. Uh, somewhere right here. I still would have took a decent sized loss, but that's that's part of my strategy shorting. Like, I'm okay being in the red. I'm okay waiting for the play to play out. I'm okay taking a a decentsized red loss, but it went from decent to just almost wrecking my account. No, because I mean I I know this strategy because I I've traded this this strategy as well. Um and and I and I've done the back test and stats uh on on a platform called Edge to Trade and um I think you can get like an 82% win rate depending on the criteria that

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you enter. Um so when you've got like an 80 plus win rate, you can afford for the for the for one stock to go wrong, but it's like you've got to like not get sucked into the fight if it does break the new high a day after the halt up. And that's a good way to put it. You got to be comfortable with taking losses. And it's still hard for me because like I said, I my strategy I have to let it play some. I don't know where the top is. I can find levels and they can guide me. But with my strategy, I'm okay if I'm in the red. Uh and I average up,

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average up. But the the hardest part learning curve for me with shorting has been like when to throw in the towel, you know, when to just take the loss. Uh because I think I would have taken about a 10 or 15k loss there. I'm completely comfortable with that. I know for a lot of people that's that's large, but for my strategy, like I was like I have like a 90 what two 93% win rate. So I can win that 10 or 15k back. But when it starts getting above that, that's when it starts being extremely painful. But then you get in your head, you know, it's like how many green days do I have to

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make to make this up? And you can even see from this chart like it took from October 140 um all the way to this year this year before I made it back. And I mean and the and that's really not that bad I guess in the grand scheme you know but it's not bad but but it was it was you know it it was a grind. There was I traded every day and it took a while to get it back. But to your point you casually mentioned the mental aspect of it. That's what a lot of people I think don't realize about trading is it will test you mentally. Um and uh that's the hardest

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part. Finding the edge is the easy part, but not letting a loss crack you and give up. I think that's that's by far the hardest part. It's not get it's it's like it's also not getting into positions early because you think ah it's a bit quiet. There's not been much momentum. I'll just jump in this one and that's the one that that goes. So, I mean, how are you having that? A lot of people say that it's so much pain they've just learned, but have you done anything with your psychology or your discipline to to not enter early and to exit at the right time? Um, I mean, it's something I'm constantly learning and I

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I weirdly enough, I am thankful for this loss because I learn you just learn so much from losses. So, I actually took another decentsized loss here recently. Not nearly to the the size of that, but I think I would have taken that loss again if I didn't already take the loss, if that makes sense. Because I saw it getting out of hand. It was way bigger than I wanted. But, uh, cuz see, I got up 219, then dropped all the way to 186. So, it's about a 30k loss. That hurts. But um I've had 30k weeks so I can I can win that back pretty pretty quick. So but I mean it kind of goes

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to my like original story. Um I don't know how much time we have but uh I'm kind of telling if I have time. Yeah. Yeah. So, uh, I really haven't shared this story, uh, publicly too much, but I I'm actually kind of like proud of this story because I I made some little like notes, uh, to kind of speak to kind of speak through it. Um, and Oh, I'm sorry. I didn't know if I quit screen. That's okay. Stay off. If you want to tell the story, tell a story and we'll come back. Yeah. So, Yeah. So, Yeah. So, um, it's kind of just kind of where I got like the mindset from. I won't

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I won't spend too much on it, but um I was actually a RN, a registered nurse uh before I got into trading and I hated it. It was not fun. It was, you know, I nurses and doctors in the hospital settings are saints to me. But uh my career actually ended uh in a way that I uh would have never guessed. I was involved in an accident and I had a brain injury and I forgot who my wife was. I forgot I was a nurse. I basically forgot who I was. I lost about five years of my life just gone. So everything I learned in those five years completely wiped off the map. Uh they

S20-P0075 original line 54, characters 58827:60783
called it I think it's called uh coupe counterc coupe injury. Uh but long story short uh I it jacked up my short-term memory. I was like straight goldfish mode, bro. Like couldn't remember anything. started having seizures, personality changes because of the frontal lobe injury and uh I went to cognitive rehab and uh the conclusion was after a year that my ceiling wasn't very high to put it nicely. They told me I should consider like working at a like a toll booth, low acuity because of like my cognitive ability. Uh nothing wrong with working at a toll booth, but if that's your ceiling, you know, that's that's uh that's not the best news to hear. Um,

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but you know, I had good support. Um, and I kind of just had to put my head down and grind. And that's kind of goes back to what you were, you know, what I was talking about earlier with that obsession mode. Um, I kind of had, uh, to create a new path forward. And that's kind of where I started that obsession mode. Uh, overly studying because anything in life, you got to I mean, unless you come from money, uh, and even if you come from money, it's a struggle. But if you, you know, I had nothing at that point. Um, so I had to uh my wife wasn't working. She was in medical school, so

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we didn't have any money. And uh along the way, I I worked a few different jobs uh low acuity jobs like a sitter um with brain injury patients, uh a jet ski, um tour guide, and like just very low acuity things. And then I broke into cannabis. Not gonna elaborate too much on that, but started as a bud tender, worked my way up in a, you know, a matter of a few years. Now I'm over retail operations for MSO. And the point I wanted to hit on all this is that like these dark moments, these, you know, 75K loss in a day, brain injury, all that. there. If people really just view these as a

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a good opportunity and learn from these uh opportunities, you really can go a long ways because my biggest the thing I see a lot of times is when people fail in trading, they just like give up. They just like don't try again or they or in life in general especially um you know it seems like my generation can be bad about this too is like when things don't go our way just like flopping giving up. what was what was what was uh I am 33 33 millennial millennial. Um and uh so I really wanted to bring that up because like uh you know at one point I bought my first stock and I just was

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I fell in love with it, you know, uh no boss, no customer, nobody else in the equation. Um uh but the part that really got me was like the no ceiling aspect because uh I was told I had a very low ceiling and but with trading you know if you crack the code uh the ceiling is whatever you want it to be. So it's kind of like a uh you know a bittersweet um and I think that's why I obsess about it so much is because I study I back test and just keep going until you figure it out. And um and now you know here we are. So, uh, so long story short, the

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reason I wanted to share that is because I'm hoping that it connects with someone because, um, you know, that loss, the 75k loss is hard, but, uh, your brain injury is a little bit tougher. So, I think once you have to deal with something like that, it makes things like that much more approachable, easier to understand. I mean, I didn't even know who my wife was. I had to fall back in love with my wife. Crazy, you know, it's like movie movie things. Um, so just make sure whenever you have a moment like that, you just figure out how to capitalize on it. It's it's it's an incredibly powerful story and it it's like like

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like um there's a a quote or a saying where someone says the hardest thing that anyone knows is the hardest thing that they've experienced. So when something so horrific has happened to to to you, the the difficulty of trading or the difficulty of the loss is nowhere nowhere near as bad because your your your tolerance of pain and suffering is so far beyond anything else. And um and that's what makes it difficult for people who come up in more privileged life when nothing goes wrong. the their their tolerance for pain is very low because they've not had to experience any pain. But um that's a good way to put it. But you you've you've you've

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succeeded in retail as well. Yeah. You've had some success in in real estate. Sorry. Real estate as well. Yeah. I mean it goes in every aspect of you know life. It's just if you work hard enough odds are in your favor. You know what I mean? Because like if you outwork your competition, good things can come. And I get that's not for everyone, but I also don't want to hear, you know, it's hard for me to hear people complain that don't put in full effort. I get it. But, uh, you know, that's the great thing about life in general. You can you you decide your destiny. You know what I mean? Like, yes, we all

S20-P0083 original line 54, characters 73260:75196
come from different backgrounds, but it's all about capitalizing on the opportunities in front of you. And um I I embrace trading and I still think I'm just now starting on my trading journey. I've only been doing I've only been profitable for two years and and so, you know, embrace the darkness sometimes. Uh rediscover yourself and just make the best of the opportunity because you only get so many opportunities and you uh just got to do what you can with it. And um yeah. No, but I I completely agree with you and I often feel that anyone who can be a millionaire in trading can probably be a millionaire in a lot of other things. They

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can be a millionaire entrepreneur. They can be a millionaire real estate person. They can be a millionaire in drop shipping because it's not cuz the one thing that they all have in common is they're all incredibly difficult things to achieve that require the right mindset and persistent discipline. And like for you, it's not a coincidence to hear that you're doing well in three different things because you have the mindset to apply yourself to all of those to all of those things. So, but it it's a strong message and it and it's really true and it it comes back to that people to be honest for me, I thought I was working hard when I was

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doing two hours after work each night. And I realized I wasn't working hard at all. I realized there's people doing 10 hours a night. And I thought I was, "Oh god, I'm doing really good. Oh god, I'm really I'm trying really hard, aren't I?" And then I just realized I didn't I didn't want it enough. I didn't I didn't want it as much as the next guy. And it's and it's a it's a zero sum game. But if you've got any thoughts on that, share them. Otherwise, we'll we'll jump back into the to the charts. Yeah. No, I I I agree wholeheartedly. But um yeah, I'll I will share my screen again, get back to

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where we were. Um can I just ask, are you grinding like 20 hours a day or something or not so much now? on all of the things that you're doing. Are you very work focused, success focused, or have you've done the work? Yeah. No, definitely. I I probably a little crazy to be honest. Um, but uh a little obsessive like I was saying. I The weird thing about it is yes, I I spend many you you got to fall in love with the hustle is the best way I can describe it. Like I enjoy it. Like my free time is doing this. I enjoy it. You know what I mean? But uh like I also

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have noticed that once you do become successful in c certain things that that hunger kind of goes away. So it's almost like making sure that hunger stays strong. Um because uh I've noticed now I get a little bit more complacent. Like I was saying, I don't study charts as much as I used to. I don't do x y and z. But yeah, I I put in some I mean I you work I have a W2 as well. So, um, uh, but yeah, so this is where we're at now. And I actually, uh, have a few examples of, you know, I don't know where you wanted to go from here, but, uh, I do have some

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examples of some charts pulled up of some trading styles that I, you know, my shorting strategy if you want to go over. Yeah. No, I think it'll be tremendous value to the community. Yeah, I think we've covered some really nice things here from mindset from what it takes to to have success and uh yeah, let's talk some technical so people can see see see um exactly how you can have an edge uh for as much as you're willing to show. Okay. Oh yeah, I I'm very transparent. Um so I kind of have it's like I was saying and um I don't if you um allow me to to give my handle out. I do have

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Yeah, I do have a little a group I'm um I'm starting and I will gladly share any Like I said, I I appreciate the opportunity. I would love to teach, but I do have kind of like a breakdown of my trading style and I'll go through all of them. Uh like I was saying, I do have a cheat sheet. I thought I had it pulled up here, but I'm not sure if I do. But I have I kind of trade based on like time frames. So, the very first time frame I'm going to go over is the 4:00 a.m. to what is it? 6:59 a.m. This is my favorite, but I have a hard time

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I'm going just be honest, just being real. I have a hard time making myself get up at 4:00 a.m. every day. Uh because I'm a I'm a night owl. I usually go to bed after 12, usually one or two o'clock. So, that 4 a.m. gets here pretty pretty quickly. Um, so, uh, this is the first. So, but this is the first one. It's called the pre-market heavy spike, or that's what I call it. This is my favorite out of all the trades. And as you can probably see why. Uh, and in from 4:00 a.m. to 6:59 a.m. stocks just pump. And it's usually not related to news releases. I don't know if it's uh Discord

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groups pumps or or what. You know, I I I'm not here to tell you what's happening, but I can tell you how I trade it. But as you can see, like this is a frequent occurrence. 4:10 a.m., especially from 4 to 4:30, because even if I do wake up, I'll I'll wake up from 4 to about 4:30 and then if I don't see trades, I just go back to sleep. Um, is that healthy? That's debatable. But, um, this is how I trade. Uh, you know, you can't have it all. But uh so this uh this pumped at $410 and went all the way from let me hide the zoom thing. So it went all the

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way from uh $4 all the way to $10. And as you know things like $10, they're like hard psychological levels. So I put in a short once it started looking red. And there's not much to say about this one. This is how this is how these 4 a.m. trades play out. It's about as easy as it gets. Like I don't think the strategy is super hard where a lot of people because there's not enough there's not enough um liquidity in the market at 4 a.m. Like it's easy to knock this thing right back down and and a lot of people like blaming it on shorts. A lot of times it's the long selling that's causing

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this more than the shorts. Uh but regardless, it'll dive back down almost exactly where it was at. So, that's what I call the like the pre-market heavy spike uh fade. And my Do you have any like are you looking for the first five minute red candle on that or something for the entry or is there a safe way to get in or is it scale it or Exactly. Scale it. So, I um especially when you look at let's see what can we compare this to. Whoa, this was a new stock. So, yeah, this is a perfect example actually. There's no levels. I don't know if this is a new stock that hasn't been trading long,

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new ticker name, whatever, but for especially for something like this, if you want to enter this position, you you must realize there's high risk because there's there's literally no levels. So, what I usually will do is when I notice a pop, little scale, little scale, little scale, little scale. And to your point, it's all about small because when I've had my big blowups, it's usually because I've scaled in too early. So, I never go 100% in. I it's like I usually try to get in about four times. So about 25 or about 20 uh let's just say five times. It's 20 to 25% of my position and then once I get to where I because

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I I pick 10 because I had a feeling that it would not bust through 10 and you know it it it couldn't close over 10. So by the time I did that I probably had an average around 859 and then it just it just tanked. So, yes, good question. Scale in with shorts. I think it's very ill advised to uh put in your full position immediately unless we're testing a zone, and I can get into that on another chart. Um, but yeah, super. I think this is the easiest trade that I do. This happens quite frequently. And do you have a number where you say I'm out? Because it's like, how high can a high

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stock go? Yeah, you got to have those. Uh I don't like actual stop losses. Uh because I've learned like a lot of times like appropriate stop-loss is probably right above 10. Well, what would have happened here? It would have hit that and came all the way down. So what I've learned is have like a mental stop-loss. Uh is that more high risk? Yes, it is more high risk. But you are going to lose some trades when this goes up. So I told myself 10. If it breaks through, if it goes from two to 10 and it breaks through that psychological level, get out. Get out, you know. And I got in around 850, probably average.

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So, yeah, that would have been a decent sized loss, but you know, a decentsized loss doesn't blow up your profile, uh, your account, you know. So, but yeah, definitely scale in. And here's the little cheat sheet I was talking about, but um, I'll give my handle at the end with this information. But the next one is very similar. Uh uh same concept. I won't spend too much time on it. This is from 7 a.m. to uh the 7 a.m. trade. This is actually today. That's why I pulled it up. I shorted this one today. Um and insane levels. Like look at this. It went from like se 70s to $11. Beautiful opportunity, but if you

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get in too early, you you get blown up. So again, it's all about scaling into these positions because you got to have enough in your account for it to be a little red, but you just have to have a a certain position where if it goes here, I have to get out and played out beautifully. The next one is my uh kind of the 9:30 to 10:00. Um this is when you, as you know, the market's the most volatile. And this is where I'm talking about you can go in a little bit heavier. Um, and obviously, you know, not financial advice. This is my strategy. I go in heavier whenever I see a clear pre-market

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high. So, these are one of my favorite actually, uh, because I'm usually awake, alert, oriented. You know, 9:30 is a good time to trade. And I did go in a little bit heavier here because these you can kind of So, I know that if it breaks this pre-market high right here, I'm getting out. And it happens to be 10. Again, another psychological level. It's just hard for people to push past, you know, solid numbers, especially like 10. So, pre-market the highest it got up to 10. I put an entry a little before that. That's the key. Don't put your entry or I don't put my entry right at 10 because it might not fill. So,

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I do it a little bit before maybe 975 or something. And I barely got it here. And then you can go heavier because see, even if it goes through this, your loss is minimum because it only went up a few cents. Um, but those other ones I showed you, you don't want to do that because you don't know where the top is. I know where the top is right here. And if I'm wrong, small loss. If I'm right, it plays out beautiful like this. So, this this is one of my uh my favorite strategies. Uh, I'll stay through this one quickly. Uh, same thing. scalping. I do this during the day from 10 to 4,

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you know, just find levels. Uh, and I use your Kinfo. I exported this to to Trading View. Um, you know, just like as you can see right here, it's just whenever it pops uh because I actually like to to um to kind of snipe like like trade like this, but I go a lot smaller because it's a little less predictable. less predictable. less predictable. Then the the after hours. Uh like I was saying, you know, I have a different stylist for each uh time of the day. It's all shorting, but depending on when I can trade for the day, this is what I look for. After hours are usually pretty fun, too. It has more

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liquidity than pre-market, I believe. I could be wrong, but for me, they don't seem to fall as hard. So, once you get a pop like this, see see if you can figure out where it's topping out. $1 is usually a psychological level as well, but it busted through that pretty cleanly. I took a a short position and often I'll look at, like I said, I don't use a lot of indicators and stuff, but I will look at their cash position. I will look to see if they have any offerings. I will look at uh, you know, more fundamental things like that, especially if I'm going to hold it overnight. And I liquidated some here. And

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as you can see, a lot of times they just do not hold their gains. And then the last chart I have is sometimes I do swing trading as well because one of my favorite I I've never seen anybody talk about this so I'm sure other people trade like this but one of my favorite things is a pop Friday afternoon. That's what this was. And nine out of ten times people will completely forget about the stock come Monday. And some people might say well don't you have to pay borrow fees over the weekend? Yes, that's something I factor into the equation. Of course, like uh if it's insane borrow fees, the risk or the reward's not

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there. But I remember this one, this was very recently. What was it? Yeah, earlier this month. Um it was like 30 bucks overnight for like a 10k position. So I think I paid like 90 bucks on a 10K position. Uh so that's that that wasn't much for me. Uh and then as predicted uh by the time Monday got here, straight liquidation. And I mean that's a solid, you know, 169 to 118. I mean that's that's a nice that's almost 50 cent 50 cent drop. Um so yeah no that's that's my strategy in the nutshell. Uh just I have different time of days different strategies for those time of days and when I can trade I

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try to execute and I try to find a simple strategy. I don't think I'm the smartest guy out there far from it. I just try to make it as simple as possible so it's hard to fail and I do it on my phone and uh yeah that's that's that's that's that's it in a nutshell. No it's incredible. Um so I mean when you just a couple of questions and we'll close but do you have any like how far does your fundamental analysis are your technical analysis go? Do you are you looking into the news? Are you looking into kind of the history of the daily or the does float matter? float matter? float matter? So

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float doesn't matter. I it probably should matter. Uh I see some people that talk about it religiously. I more focus on the technicals. So I probably didn't talk about technicals enough because some of those examples like was a brand new stock. But it that's kind of the technicals are key areas for profit taking and to see how high this stock can potentially go. The fundamentals I if I'm holding a position that doesn't drop. So, my favorite stock is the ones that go up and straight down, of course, but sometimes they don't do that. So, to decide if I'm going to hold or sell is usually based on the fundamentals. I look at their cash position.

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I look and see if they have a history of offerings. I look and see if they have a history of maintaining gains. And like I said, I don't look at float much, but I do look at market cap. I prefer anything. I prefer under 20 million. 50 million I I can do. And I rarely short things under 100 million because they just retain their gains. They just they don't they they're real companies. Yeah. They're real companies. Yeah. So they they don't always drop down uh immediately or ever. You know, if it's good news, most of these, you know, stocks less than 20 market cap, it's just fluff. you know, it and I hate to say

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it, but most these press releases, you know, like you'll see uh Bioc release phase one data and it goes up 300%. Fundamentally, nothing has changed with that company. They're still not making money. They still have to pass phase two fast phase three FDA approval. So, that's kind of how I look at it. And it's it's nice. I I I see the strategy that you're talking about. It's nice that you've um it's nice that you've shared it. I've seen similar traders trade similar things and make a lot of money just like you are. Um the reality is people get scared that it's going to lose edge, but it probably won't because no one's going to get

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up at four o'clock in the morning to do it. And it's that comes down to how bad you want it again. Yeah. But um I think I think that's pretty much a wrap from me unless you had any other um any other messages. Any any links that you want to drop in the description, we'll drop in the description uh when the video goes live. So, if you want to shout out any links or any any places where people want to click, that will be in the description below. But otherwise, it's just it's just it's just um if you've got any advice for for people to get started doing what you're doing. doing. doing. Yeah. And

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um I I appreciate that and appreciate you having me on and appreciate uh the app as well. Um wish I would have found it sooner so I could flex more gains, but that's uh this has been since the bear of Wall Street was created. But yeah, I mean it goes back to some of the things that we were already talking about is risk management. Um, you know, you probably everybody talks about it, but you really have to find those levels and respect them. The times I did not uh you know, it it it ended ugly and coming back from large losses is so hard, especially when you have small wins. Um, my handles uh I

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will I mean I'll give it a shout out. I I recently created a uh Instagram handle for Bear of Wall Street and it's called Bear of Wall Street. It has a period in between each word. So bear period of period wall period street is what it is. And um I also created a little circle group that's free. Don't plan on charging for it. maybe in the future, but I I've been blessed um you know uh with learning this strategy and I would like to help others. Um, and uh, the circle group. I'll it's easier just to probably put that one in the the link, but I'll but I'll but I'll put you guys can click

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below the links. The links will be there. Just send us by email after the thing. But, uh, and I guess that's the best advice to get started is to join the circle group, right? And, and start learning day-to-day. And then I might jump I might jump in there as well. Please. Please. Yeah. I I again it's not it's it's not a I don't think it's a super hard strategy but to your point what we've talked about a lot you do have to you do have to respect the risk with shorting because it's the one strategy I mean there's other strategies but you can have unlimited losses that's why um you have to uh make sure

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you you respect the respect the game or you'll get humbled quick and we'll end on that Justin thank you for the personal story. Thank you for your time and uh thank you for the invaluable advice. There was a huge huge huge amount of golden nuggets there that most people don't share. So, thank you for your transparency. Yeah, absolutely. Anytime. All right. [Music]

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From High-Stakes POKER To 6 Figure DAY TRADING

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📅 Uploaded: 2024-10-29

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⏱️ Duration: 0:43:16

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👁️ Views: 1,541 (Rank #1 of 1)

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💬 Comments: 3

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📼 Playlist Progress: 1:26:32 of 0:43:16 (200.0%)

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👉 Check N0pr3s3n7's trading performance on kinfo: https://kinfo.com/portfolio/49149/performance

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👉 Get 1-month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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Join us in this episode of Kinfo’s Undiscovered Traders, where host Jonk87 sits down with Andrey, aka N0pr3s3n7, from Bulgaria, a six-figure trader who has applied his poker experience to master trading’s highs and lows. Discover Andrey's approach to risk, discipline, and his journey from mid-stakes poker tables to a successful, systematic trading strategy. Andrey shares how he overcame setbacks, refined his edge, and emphasizes the importance of consistency over a quick win mindset. Perfect for traders, poker enthusiasts, and anyone seeking insights into handling volatility with a disciplined strategy.

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Chapters:

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0:00 - Introduction

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3:15 - Lessons from poker applied to trading

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8:20 - The value of discipline in high-stakes environments

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11:30 - Key trading strategies and edge discovery

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15:10 - Andrey’s take on managing drawdowns

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20:30 - Systematic trading: Why backtesting matters

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25:50 - Avoiding market traps in small-cap trading

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35:00 - Andrey’s final advice for aspiring traders

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Key Learnings:

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- Poker to Trading: Skills like reading people and risk management translate well from poker to trading, especially in handling high-stakes decisions.

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- Building an Edge: Consistently finding and leveraging an edge is critical, whether at the poker table or in the stock market.

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- Risk Management: Proper risk management, such as limiting exposure in uncertain trades, is essential to long-term growth.

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- Self-Driven Learning: Taking the initiative to self-teach and refine strategies over time lead to the strongest results for Andrey.

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- Drawdown Tolerance: Learning to endure and manage losses without panicking is a valuable skill for stable growth.

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- Avoid Over-Leverage: Leveraging too much on single trades can be dangerous; a conservative approach is often better.

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#Kinfo #UndiscoveredTraders #TradingStrategy #RiskManagement #Discipline #TradingPodcast #Poker #SmallCapStocks #HighStakes #SystematicTrading #FinancialGrowth

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🔗 Follow kinfo: https://x.com/Kinfo

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🔗 Follow Andrey: https://x.com/N0pr3s3n7

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🔗 Follow Stephen Johnson: https://x.com/Jonk87

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Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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welcome to undiscovered Traders I just don't want to really play um and do any trades pre market because I just want to spend the time playing poker Andre is a was a six figure trador he's just just just dropped him the rad up if I sit on the table and I don't feel I'm better than the other players why should I be there welcome to undiscovered Traders the podcast that focuses on the charts stats and Edge of the latest six figure verified traders who have not been interviewed before today we're talking to no F3 S3 and S7 but by his screen name of course better as as as Andre and Andre is from R pla

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Bulgaria Andrew is a was a six figa Trader he's just just just dropped into the radar but we'll we'll cover it in a little bit so welcome to the six fer club we P we P you back out but he's also a professional Trader and teacher so we're going to get that in a little while but first Andrea how are you tell us a little bit about yourself uh hello uh my name is Andre I am 34 years old and uh uh basically I have been uh betting money for Living like uh the past 13 14 years I haven't really uh taken any real life job and because I started playing poker at uh uh

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19 years old old and I just found myself to be very successful there so I took uh that time to develop myself in poker and after some time I just realize that there is uh um some limit in playing poker I mean uh if you um level up through the stakes you reach some point in which uh it's really hard to compound the money or just use your skills uh and I I found that in trading or at least uh from the theory I know about trading that uh this is uh this limitation is not there I mean uh you can uh once you find a real wge you can just compound any wealth you

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got and just reach a new new new new highs so uh this this is my Philosophy for uh Building Wealth if you if you can say so uh so uh I'm trying to be a really tight on risk I I don't want to like uh go to zero and I've never been to zero like playing poer uh like uh trading so far I mean I I I said uh struggles in both uh if I can separate them as professionals uh but uh what I've learned is that the only way to succeed in uh something like this uh is to just work on on yourself I mean you have to do all the hard work by

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your own and there is nobody who is going to tell you uh how to do it and how to do it properly because everybody is different uh different people have different emotions like level of risk some are willing to risk a lot of money and reach uh um uh um uh um like a very very big amount of money in a very short span of time um that's definitely not me and and and how how much have you made in poker are are you allowed to say is it okay to say roughly a a a figure uh let's say that the um I don't know maybe mid six viers but it's really done uh um

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slowly I mean I've never been a poker player who just uh jump uh into the state if if you know the basic of pocket like the stakes are doubling up like you're playing with $100 on the table next next level you're playing with 200 400 uh 600 1,000 Etc so uh I just uh chose to play like uh mid Stakes there like 200 400 for example and make uh some money without pushing the boundaries of myself because it really takes a lot of emotion to to manage the to manage the draw Downs of course because it's it's the same like trading uh uh once you get to used to losing like $5,000 in a in

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a day then you get used to losing like 10,000 uh but there is there is just a limit for everyone and uh by the time I got uh older and I got a really uh lovely lovely lovely I just uh started lering my wrist because now there there are people new people like my kids who depend on me and uh it's not an option for myself to disappoint everyone who uh who um who I really love so uh I want to really my Approach is to take things really small and build uh very steady in a steady manner manner manner and diversify between still I'm I'm playing poker and uh thus uh I I built

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a some a trading approach which can allow me to do that because uh uh I I'm uh in a really different time zone uh considering the uh the market USA uh because now it's like 720 and uh for example for me it's not an option to to stay up late in night I I cannot really play after hours or I just don't want to really play um and do any trades premarket because I just want to spend the time playing pocker and uh make some money there no makes makes full sense I'll let you H screen share and bring up your k for chart we'll take a quick look at it now but I just

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wanted to ask you what is the most important um crate that you need to have as a Trader and a poker player for success is the is the one line trade it's it's definitely the discipline I mean uh once you have the discipline and the courage to never uh never let Let It Go I mean uh for me uh it even because I can say lot in trading I struggled really a lot uh um compared to Poker and uh I understand it simply because uh in trading you're like from day one you're playing against all the very good guys I mean uh there plenty of Traders which spent million of dollars researching they all the

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hedge funds all the institutional Traders and you're just there in this pool which is a really uh really hard for uh beginner it's it's like uh I I I can even say that it's impossible to just put any money in trading and start winning money I I don't think that it's possible to do that and just just to say poker in poker you're just slowly building levels you're uh getting higher and higher and uh you're playing against really bad people at the beginning I mean uh they just don't know how to how to play poker and and so so it's uh does the tradings uh lot harder than uh than uh poker definitely yeah it's

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it's really interesting so what what would be a secret to being disciplined like what do you do that 99% of people can't do that makes you makes you makes you disciplined uh well I I can say that I never give up I mean uh if you never give up and you believe in uh the idea that you want to succeed uh in some uh no matter it's like poer training or live job uh the the courage you get from uh maybe even motivation uh you can he from not giving up is the the force that uh moves you forward because there there always be moments in which you want to give up because you no

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longer like it it's very boring it's very uh it became uh really stressful for you but uh not giving up and having the routine like uh you wake up at some time you do whatever you like in the day and you you just set your mind that uh after the Market opens you're here you're staying here you're doing your job you're doing everything uh in your powers to to become better better better yeah most important think in uh in any aspect I guess yeah 100% agree and 100% understand uh let's uh very interesting wisdom very interesting thoughts if you want to bring up your uh k for stats okay so we have your chart up

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here I want to ask you about your uh screen name no name no name no 337 but and more importantly is uh you never had a draw down you did this is your only trading uh account cuz he never went red it looks yeah yeah uh well uh I do actually have uh draw Downs because uh uh I as a Trader I decided to approach the market totally in a systematic way because I understood that of course everyone has some background in trading and uh my uh short uh background was that uh of course I paid uh a lot of money to get into some groups to get with some really good Traders and uh

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try to work from them but uh none of them had this uh systematic I trading approach and all of them were really great Traders but they were discretional Traders and the problem is that no one uh can teach you about his experience because if you're a very good discretional Trader uh you you became uh such because you have a lot of experience and also you work a lot on uh your own so um before uh 2023 because this graph Stars pro I think around about this year 2023 I was like one year in a in a room which uh tried to introduce like systematic trading but uh things were really struggling I mean uh I

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I went into a like 50 60 70% draw down in which uh just things were bouncing up and down and nothing really happened so I uh one day I just uh decided to quit the room and start doing uh all the research on myself I mean of course I I've seen some methods how to collect data how to how to maybe use data how to have some templates for U uh for um analyzing data and so on and uh I decided to start building all this process on my own I call it process because uh uh once uh you go through all the process I mean um collecting the data analyzing the data using the

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data uh and really finding the edge uh all the Traders are talking about I think that a lot of beginners like to actually see what what an edge is uh because I've seen it uh in poker for like 13 years and if I sit on the table and I don't feel like uh I'm better than the other players why I be there so in trading it's exactly the same if you if you cannot say why are you better or why what are you doing better than others then it's impossible for you to have an ed everything is just uh maybe dreamy and you can you can just hit a few good traes and become like

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very selfish that everything is working just to go uh to zero after that I guess this is the this is the story for a lot of beginning Traders so um the graph goes uh on the right side of course uh I I think the um this was the really the thing that uh helped me push uh like uh this Milestone six figures uh to just uh do all the work on myself I mean I I I was literally like uh six months and uh yeah at more I was doing everything on my own I I mean uh before that I had for example a friend who would uh I would ask him to pull me

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some data to pull me some information I can work on because I I wasn't really good in uh just um collecting data for example because uh I knew uh like exactly a zero about Python and uh she she was pulling data sending to me of course and nothing really worked that way because once I started started literally seeing how the data counts um it's it's just not secret I can say that I'm using python I'm writing uh like code in Python and using polygon if if it's it's pronounced this way so uh it's it's like uh all the all the very little um things you can seen that like uh I I can say something

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like uh when when a stock is Haled nowadays uh you have to see how the data comes from there because uh because there there are no bars which are printing so you can uh you have to adjust a lot of strategy B based on that what if you have a trading s signal which is just uh before the the H and you actually the stock opens to 100% higher I mean there are recent examples about this so you have to be uh you have to really know how to collect data I mean how to use it and you have to do this on your own so that's the only way you can uh get deeper

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and deeper and understand everything uh about uh about uh what you want I mean how to uh you have to you have to connect uh like your um your data or the things you're collecting with the uh trading approach you want if if you say so because like this graph I'm I'm literally trading um like for 3 hours maximum per day it's like 4:30 like 4:30 like 4:30 to to 7 and uh and I I guess that's that's the the basics and uh into like uh achieving such a graph I mean this graph is done like not not by observing the the market for the whole day all the work is done like premarket I

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I've spent like at least three to four months because I I I was really angry that the trading was not working for me and I had to figure how so I started collecting all kind of data I started writing all my trades I started uh using uh as I said python with polygon I started pulling all kind of data uh uh where I'm going out where I'm going in and uh all all this I I it's not crazy stuff but uh you have to analiz every aspect of your process uh so my simple process is that uh I just want to uh to exploit some uh inefficiency about the market and most of the time

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if you go through my trades uh they are just uh just the the symbol stocks that uh that have gone like that made some some parabolic uh movement so I'm not interested in a lot for now like in multi-day Runners I'm not interested interested about in like something that goes only 30% up or 40% up and uh this you have to just constantly constantly work on on the process just to improve every aspect of it you you just cannot give up on anything iing from the entry to the exit you have to check if uh it's uh if it allign with your strategy because like uh my strategy is building uh Excel so so I

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have to be really sure that I'm uh really taking the trade in the right point and exting at the same point I have back test yeah uh and uh I just wanted to add something that it's really not useful to at this point to listen to other people because uh everyone has a different strategy and of course I mean I'm not saying here my strategy is super good or anything uh just uh there things that you cannot Implement in your strategy let's say uh all the people say uh you have to cut your position before late uh late day squeezes or something like this and I'm not doing this why because I'm not not in

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front of the computer I don't want to spend this time in front of the computer just waiting to see how the action action action develops and this is the graph you see I mean this is purely systematic and I'm doing I'm doing only the things I've I've back tested anything that is outside of my back my back test is really um it's really out I mean I just don't don't do it and I I found that this is uh this is a way to start I like making money if I say so because I'm really in the beginning of my trading Journey or at least I I accept it as well because this is really

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like a year or and uh nine months I guess something like this and most of the people I see uh in Twitter they have traded for like six years 10 years and so on so you have to just find an edge understand what really an edge is and just uh make sure you're you're doing you're doing it the same way you discovered it uh you you cannot bypass uh any um any aspects I mean uh in I'm training obviously if you if you look through my trades I'm trading only small cups so in small cups if you're emotional like I got some graphs I will show later but if you're emotional you would really do

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bad because the whole Market uh uh I I've just uh I've seen in my eyes like moves in uh in some kind of traps and the ranges that are that are uh created uh uh make uh are really easy to force you to make a mistake I mean this is I think this is the biggest St in small cups that people are just falling for um for any uh for any uh rapid uh price movements and they're making mistakes for that and I can say that I think that I'm exploiting this by uh by my strategy sounds very good I'm really curious to get into some charts as well if you want to pull up

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one or two charts if there's anything give away any tips for uh for beginners looking forward to seeing uh what what you've got here and a a little bit of a deeper dive into and how you're making this making this making this 100K okay I um I will go like in in the process of my whole uh strategy with very few graphs uh because uh it's very easy to explain why I'm doing this in the way I do it and uh in uh in all the graphs you would see it's like a stock is uh just going parol it for some time so I can uh pinpoint of course some of the uh just a

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second I just want to uh share something I've seen and uh why why I'm trying to Michel strategy is trying to avoid it so let's say we we break down the the price uh movement of uh this is Du and it was like I think three or four maybe five six days ago when uh the stock recently started moving so what uh what do you get like for act so um there is literally I think a lot of guys are making a mistake I mean if you're not winning Marine because uh the guys who are winning Marine they know what to do but uh when when a stock is going up um so so rapidly

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so there are a lot of um pullbacks like this one this one this one of course like this one and so on in which uh I mean uh no matter I found that no matter what strategy you build let's say you build a strategy that you want to enter after the like the last five bu Wes are are broken down let's say you want to enter here there all be always be examples in which they will just rep it higher to like maybe stop you here and there will always be examples in which the stock does this so uh so it's it's just like let's say this is a trap I mean of course this

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is like a short shop uh because they they're uh they're booking shorts like here like here and uh they set some level or maybe there is some daily level I I don't really care I mean I'm I'm using literally uh zero daily levels and zero indicators I mean I I just don't use any indicators in my in my uh strategy so the whole market lookes like this is uh what what can this is for example a bull trap it's like the stock is breaking down it it instantly goes down so no matter in which site you play uh either you play uh long or short let's say uh this is the fake out this is

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the the moment they trap another short because some somebody has this setup in which uh the stock is building lower walls and uh it uh it breaks down so they are stopping Longs Longs are starting to be interested because the stock is going higher so what happens next the stock go down so everything in my eyes just just moves in traps so uh after I've I've seen so many drafts I mean I spent at least like uh maybe a month or so looking at all the IPO it's very easy to just P all the days in which some stock uh have ripped higher so the conclusion I came to was I don't want to par

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participate in any of them I mean uh I'm not uh uh just if you see the timeline this is the this is the time I really get get uh get out of the room I'm trading I mean I I just cannot follow any action after that and even even here at 12 I'm just not really following following action so I'm not here just to watch what the does what does the stock does here so it it does something like double top and it starts pay tring and someone will say okay it's breaking down some trend line and whatever so I find a way I found a way to just um enter any anywhere I mean

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just uh it's it's best to use uh the first uh uh many Traders might say that it's the the front side but you never know where where the front side is because what if the stock comes here and breakdowns so you you never know where where the front side ends so after seeing the chart for the daily it's very easy for some um some Trader to say okay this was the front side why are you shorting here why are shorting here why short shorting here or even here or even here it's it's because it's a system trade for me it's somewhere there in my Excel file and I've seen that this this short has an

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H okay of course there will be stocks which will be going higher there will be stocks which I literally top tick and they die like 50% 50% 50% so I just uh I just uh approach trading in this sty I just don't want to do anything about short traps long traps or I don't want to cut any of my position because uh the stock is going high and this is really a hard part of trading because uh recently I've been of course as you as you saw that I've dropped below uh six years and I hit some draw down and it it is no surprise because on in September we had we had a lot

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of Runners like some some stocks are closing 200 closing 200 closing 200 300% above uh the previous day calls so there there is nothing uh I want to do about it the only thing think I want to make sure is that I don't my account doesn't go to zero and I manage the risk uh for example the September was the worst one since I started trading uh these Mo ups and uh it ended being only 10% draw out for myself so uh I think I I mean at least I found this good for for myself of course so so so just looking at the strategy it's really really interesting so obviously shorten shorten small caps

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you shorten parabolic moves on on small caps you have any other without giving too much away because I don't want you to give your strategy away completely this is just to help others learn but do you have any other indicators such as uh you don't have any indicators I know but are you looking at Daily are you looking at float are you looking at news are you looking at hot sectors are you looking at institutional ownership ra yeah I can say few words about this and I never look about news the only the only way I would consider any news it's only if stock is merging or it's some accusation or some murger type of

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uh of trade and this is only for gappers I mean uh there there are very few examples in which stock goes parabolic up upwards and uh after that there is some news that the stock is gting getting uh bought from uh some I don't know institution or whatever so I focusing literally uh zero on any news and uh believe me um before that before I started being consistant I would uh I would really go and read the news because uh at some point uh you're just curious uh let's say you want to just uh see what the news is uh that the stock is going up is going up and at this moment I was

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in the group I was tell telling you about that they also get this systematic approach and after that I see few guys right in this court and say oh oh gosh this is so good news this this thing is going 100 300 500% up uh this cannot be stopped this this is the best news any stop is having uh the sector is so hot it's like China it's uh marijuana or whatever you want you want just uh this is this is something that but uh I cannot really say you can back test in time I mean uh okay you I'm pulling obviously I'm pulling uh stocks which made parabolic movement of let's say 40 50

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60 and uh above movement about 40% for example and I never analyze any news so why should I include this news in my process it doesn't make sense no it breaks the process the process doesn't work because you're not following the back you're not following the back Des news so you're going forward T the news it doesn't doesn't work like that I mean so I mean are you in terms of risk are you putting a hard stop in there cuz I'm me see you've got an execution you know that you're putting a stop in based on your systematic formula it's like 20% 60% away could be a wi stop could be a close stop but

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are you putting the Stop and walking away walking away walking away or um I can say for stops that I think this is the maybe biggest stage I can I can just pull out and uh if you're trying to play small cops with the small stops and the small stop is like 20 to 40% it would be uh I don't think it would work for yourself because I was as I was showing you just enter here to get stop out here you just enter here but you don't make enough money to the to the close or even up to up to here uh you just can't make for the max walls you already taken so

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um the way I I really spent time thinking how to approach this was that I I really want to be in the in the most possible way in the move until the market closes I I think this is the sentence which uh which is the the break the Breakthrough about the strategy and this is by only by doing uh really white stops I mean uh I know that uh I don't think anyone does this I'm really sure but if you enter here what what does your stop has to be so that you're not stopped here or whatever so it's going to be like uh 50% at least uh what about if you enter a open

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let's say this was a a gaer so your stop has to be how much 120 yeah okay so so you go through all the data you you're having and you want to make sure that you're in the mall you don't want to fall for any of the traps you don't want to fall for like okay this stock is riing another 1 1,000% higher or this stock is uh like making uh too many short traps so I just want to want it or whatever my my bias is never changed I mean I'm playing all short I never never really play anyone and as I said I'm just doing only the things I back tested uh I

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can also um uh stress few few points out because the market really I think it changed this year and what uh worked really good in 2023 was to enter with the whole size in um in let's say the first spot possible let's say you you will figure out some kind of pite as I said you just short something like uh uh here or whatever I mean uh this this stock is obviously uh it had some um I don't know I mean uh this is the type of action you will constantly see uh in in h smoke CS uh some Traders will think this is exhaustion because the stock pull out a lot of volume on

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one minut chart also it closed uh it closed lower it created some weak so this is like a weak pattern or something uh some other Traders might draw some um I don't know maybe trend lines and see that the the stock is closing below them like here so the stock is uh falling below the trend line and they just say okay this is going down and start uh and let's say they exit here because uh they're risking this high and just just to get stop and like was maybe 20% uh but in the end what what would have have happened they would have won like 10% okay so this is one to two so this

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is what I do in like 13 years I just bet money with some OD and I I accept this S I accept the outcome and I just I just want to be in the whole time because this is uh this is the process and this is the thing I back tested and this is The Edge I I can see in uh is small CS I think that's perfect and uh I think we we'll close up there I think you've given more than enough volume more than enough a way to help a lot of people on the next uh steps H the only one thing that I would say is if you got to do a

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strategy like this with a white stop make sure you use the appropriate size for that stop and make sure you can take the stop because it's not easy to take a 60% stop because you're like ah it's up so much it's up even more but make sure this guy can take the stop make sure you can take the stop but you have any final tips any any words of wisdom to close out uh yeah I will show you like uh the implementation of what I'm talking about and uh I randomly F this uh because I really don't take uh uh the I mean I don't analy the data in the screenshots but uh I just

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write everything in Excel but you can see that the sound stock opened it it is prtg uh so it opened it was I think it was some high goer so I just Center in few sizes I never really got stuff out so I waited till the whole move fed as I covered and here you can see like I started entering uh near the open of uh what is this VI or yeah yeah I'm not really good in reading the stock names so you can see that here uh if if this is not mistake because sometimes I would try to enter right before the trigger I mean uh the trigger I call the the trade I

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want to enter but let's say I enter five seconds earlier just to just to see because I I'm thinking that it would be valid for myself I mean it would be the uh the one not the zero and uh it it turns out that it's very slightly negative uh for some reasons for some of my um obvious for my Approach and I I might cut it but here you can see the these are definitely some Max stops so uh you can see literally a maxtop at the top so I can I can do anything about it I mean it just stops me out and and that's it I accept the outcom when when I first

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entered I accept the outcome that I'm either getting stop for I'm covering with the date BS I me this is uh I I don't really think I can share anything outside I mean the whole process you can see that is uh it is uh developed based on this so this is something I would consider uh a good execution for myself I mean I had volid trades uh later like on the uh like a week after that I might I would go through the after I pull all the trades uh I had mean I pull the data I would go and see if I made any mistake because when I'm having like 10 12 trades uh

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in this uh in this example uh I might I might miss something or might I might as as you see I might make a mistake and enter to Le just to see that the trade is uh is isn't valid any longer for myself so um I would I would make sure that anything I got in uh in my database is is exactly the same I'm executing this is very important because uh I want to be I want to be perfectly sure that this is this is The Edge I want to apply to the market so I got one more rph and I mean it just it just uh points exactly all the things I just

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said something going up so I just make entries this now yeah yeah this was some gapper I think it was the day before uh it got to like $30 pre market so I just enter my positions all the all the trades uh I'm I have in my database and just how at the end of dat so something I I actually uh want to stress about the new Traders and I just just found this post from yesterday of course I I was money on uh this stock because it had a valid trade for myself and although it came down a lot and I was in a profit at some point I took the loss because it

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closed near the highs uh but uh the thing I I think uh um people were just ping about is that the get rich quick uh topic I mean uh they they see this and they they see opportunities like to uh invest 10,000 and get to like uh 10 million in one trade or something like this and uh I don't think this would really work for anyone I mean the the AG is not created in this way uh all the all the all the H just stocks with time so we have to be really patient you have to really take only the the things uh you know are working never uh really take I mean I

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I literally have zero discretion traes in like the the past two years I think need it's either it's either about it or not and I I guess the people's psychology is built this way because um they're they're just seeing opportunities but they don't know how to sa them and uh they just fall in the into the market trap I guess this is most of the uh beginners beginners beginners mistake that makes sense yeah that's what I said earlier that I'm really tight and on risk and uh I mean I I I think that I would get a lot of criticism about the the charts you saw earlier but uh I know why they're working and

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if people make uh deep enough calculations how to how to approach all the entries I have uh they will understand also what what what is the edge because it it just looks like I'm average averaging indefinitely like if the stock goes up to $100 I would still be entering in it and this is not true this is this is definitely not true makes both sense f appreciate your time I fully appreciate the value I think it's looks like a fantastic setup and uh you've obviously executing it with data behind you and the most important thing is the risk so great job I hope to get you back on at half a million hope to get

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you back on at a million is any any final any final thing you might want to pass on any final tip in new Traders and then we'll close those well I I would say only to traders who are really string um reserve your capital and do not trade unless you understand uh where you got an edge just I don't see a point make it it's just like playing roulette I mean uh you know that the casino wins from it but you're just doing it because you're either uh impatient or something like this you're you you just want to win a lot of money in short span of time it just doesn't work this way and

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my method in like trade I think I think it can uh it proves my uh thinking oh look and that that's uh that's good advice from a six biger poker player and a six biger trainer thank you very much for your time uh and uh we we'll we'll catch up again soon

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He left SMB Capital. Then Made +280K in 9 months

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📅 Uploaded: 2025-07-10

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⏱️ Duration: 0:39:17

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👁️ Views: 49,125 (Rank #1 of 1)

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💬 Comments: 126

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📼 Playlist Progress: 1:18:34 of 0:39:17 (200.0%)

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⭐ Join Kinfo for free and follow what top traders like Yanni are trading: https://kinfo.com/signup

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👉 Learn more about Yanni: https://linktr.ee/yannitrades

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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Yanni, a former trader at SMB Capital, is now verified on Kinfo with over $280K in profits - and he’s only just getting started.

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In this episode of Undiscovered Traders, Yanni explains how trading his own capital unlocked the flexibility and confidence he needed to scale. He breaks down his biggest lesson from SMB - asymmetry - and how just a handful of high-conviction trades each year account for the bulk of his gains.

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He also reveals the setup that forms the backbone of his edge, a repeatable strategy he applies across small caps, large caps, and even market-wide panic.

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📖 Chapters:

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00:00 – Meet Yanni: From NYC to $280K trader

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01:28 – His journey through SMB Capital

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11:47 – Going solo: leaving the firm and scaling up

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13:40 – Building confidence through systematized playbooks

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18:03 – Why he avoids prop firms like Apex

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22:46 – How he got verified on Kinfo

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23:28 – His main setup explained

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28:14 – Best trade during Trump tariff panic

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33:14 – The psychology behind trading stretched markets

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37:04 – Final advice.

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🔑 Key Learnings:

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• Asymmetry wins: 80–90% of Yanni’s profits come from ~10 trading days per year

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• System beats discretion: Checklists and tight playbook filters are everything

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• Market panic = opportunity

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• Trading smaller during slow periods preserves capital and focus

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• Traders don’t succeed in isolation: pods, voice chats, and idea-sharing matter

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#trading #daytrading #kinfo #proptrading #SMBcapital #asymmetry #tradingstrategy #exhaustiongaps #undiscoveredtraders #yanni #tradingguru #jonk87 #stephenjohnson #chatwithtraders

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✔️ Follow Yanni: https://x.com/YanniTrades

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✔️ Follow kinfo: https://x.com/Kinfo

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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🔴 Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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If you hadn't have been at SMB, you would still have made it profitable. What I've noticed that the senior traders, they would do this all the time relative to their daily stop loss is the biggest form of edge that I have is something that I like to call as welcome back to undiscovered traders where we focus on the charts, stats, and edge of the last six figure going on sevenig traders. You do not want to miss this podcast because we have a guy who's previously been with S&P Capital. Uh this is Yanni living in New York City. His profit and loss has just skyrocketed to just under quarter of a million. 223K, am I right?

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Yes, just under that I believe. And uh that's all just recently in the last like eight months or something like that. So you are the next undiscovered trader. You are the next guy on the path on the path to the million. Thank you. I appreciate it. Dude, I keep on thinking there's a Christmas tree in the back left there. What is that? Back left this way. Yeah. Yeah, it's not a Christmas tree. It's like a transformer or something. I don't know what it is. It's blood. Yes. So, it's a little bit of a glass box. I just have a little bit of like memorabilia stuff just from like trips and stuff like that. Just just

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showcasing stuff. Yeah. you're you're going to have a lot more memorabilia as you travel around the world when you uh once you make a bit more money, bud. Dude, tell us about S&P Capital. We're just talking about it before. Like what's your history? What's your past? How do you get into trading? All all the good stuff. good stuff. good stuff. For sure. So, I started trading around early 2019, late 2018. I always was really interested in the markets. So, just through my dad, I always try to stay invested into the market. I found trading just on social media around 2019 and I was a complete just noob during that time. I didn't know anything about

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markets. I think during co that's when I really uh sank my teeth into the SMB style culture. I think I found them on YouTube and Instagram and I just knew that I really wanted to pursue this. It's something that I always found interesting and I thought I had the skills to kind of make it there. So I applied to the firm around um 2020 2021. I actually got denied from the firm once or twice before making it in. And it was around the summer of 2021 where I started as an intern. I was in college at the time just graduating in 2022. I was an intern for about a year or two, I would say,

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and uh they really liked the work that I did there as an intern and I got hired full-time in the summer of 2022 at the firm. Uh after that, I traded live until 2024. until 2024. until 2024. Uh it was a very competitive environment. I learned a ton from the traders that were there and a lot of lifetime connections that I'm not going to lose and just the overall culture and strategies that SMB teach is something that I lean into even now. But like so do you think that if you hadn't have been at SMB you would still have made it profitable or do you think there there are huge are huge are huge Yes.

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I think the learning curve at SMB it sped on my learning curve tremendously being at our firm talking with like-minded traders. Um it was completely invaluable. I think if I was by myself it would have taken way longer to be profitable. I mean, there's traders on Twitter and YouTube channels like SMB that promote all this free stuff, and I think if you really lean into that, you can be profitable yourself. But the learning curve is just so much greater if you're not at a firm or in a tight-knit community or uh team like that. like that. like that. Yeah, I know. So, like if you if you're an SMB, is that like literally going to

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the office in New York City? Uh you're having drinks with these guys. You're hanging out with these guys after work. You're having lunch. Is it like tell me about a normal day there? What you can Yeah. So we would uh I would get into the office around like probably 8 8:30. We had a lot of consistent traders that would show up into the office every day. You try to network with them when you can. And uh yeah, I was pretty much trading in the office uh pretty much three, four times a week typically, sometimes more. I would try to go on the weekends sometimes to do some R&D stuff, but we would have happy hours

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every now and then. It was always great talking with the senior traders there on the desk and try to make connections whenever you can. I mean, they were also pretty busy at times. There were some traders that traders that traders that don't show up all the time to the firm. I mean, when you're an eight figure trader, seven figure trader, you're not going to be coming to the office. You're going to be, you know, trading on your own elsewhere. own elsewhere. own elsewhere. But, um, when the market was really hot or things were in play, they would show up into the office. And it was great connecting with some of those guys. Uh, la last

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question on this and then we'll go into your uh, profit chart because, uh, I haven't seen anyone's profit chart for a while where you c you capture the moment where they've just boomed and it's all just kind of clicks. So, I'm looking forward to going to that. But is there like a key a key lesson that you learned there or a key takeaway or one or two things that you'll not forget? Yes. The biggest thing that I learned from the senior traders there is that asymmetry is so important. There's so many traders that size every opportunity sort of the same. What I've noticed that the senior traders, they would do this all the time relative

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to their daily stop-loss is be extremely small on average days where edge is not really there. And then for the very rare opportunities, they would be exponentially bigger. And it's obviously a skill and there's a ton of nuance involved with each trader strategy. But with every senior trader, that is something that they leaned into tremendously. tremendously. tremendously. And it was something that I was missing very early on. Um, I think what changed for me is recognizing in my playbook some of those opportunities and specific uh playbooks where asymmetry is really important and sizing up those trades. And that doesn't mean like risking half your account on it. It's still within limits, but it's sizing down

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on the average days and really swinging the bat on the very good days is what changed and the biggest lesson that I learned at the firm. the firm. the firm. Yeah, there's there's two really big skills there. one recognizing the opportunity and two uh being able to cut a bigger size loss if for even if you've got an 80% edge on Monday and that's the reason that you have sized up compared to a normal day is 60 55 or whatever you got an 80% probability able to recognize when it's gone wrong and not get suck it in. Is there anything on that that you've picked up or on on psychology or discipline? Yeah, I noticed

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that my trading and psychology is just so much better when you're smaller. you're smaller. you're smaller. and waiting for those big opportunities. And it's going to be very obvious. And I think it also kind of depends on the playbook and your strategy. I trade a lot of uh daily mean reversion. And there's some things that you could quantify within that that objectively make make it better. So when we go over trades, I could share a little bit on that. But those are my overall thoughts on that. Uh just trying to be small and uh not lose too much on slow markets is such an important skill. Yeah, I know. Some of me biggest losses have

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come in small markets. So, let's let's take a look at your uh profit curve. I'm I'm looking forward to uh going through it and and just while you while you share screen, do you want to let me know um is it uh large caps you're trading by the sounds of it? So, it's a a mix of uh both. I trade a lot of large caps, but definitely when small caps are in play, I lean into that. I definitely prefer large caps a little bit more, but um I think opportunity comes in both. So, it's really important to just move to where the puck is when that happens, you know. Nice. Okay, let's take a look

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at this uh this uh exploding rocket chart. I don't want to I don't want to build it up too much. The guy's up you're up nearly 250k. You're doing well. But it's Thank you. Thank you. Thank you. Uh yes. And we are up. If you want to go all time, do you want to click all time and take a look at this? I think that's where Yeah, that's the I think for some reason. Yeah, back in down here. I don't think my I think maybe I have to upload a new broker or something something something back here. back here. back here. But yeah, I was going to focus on just the last one year. But

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yeah, all time I mean that asymmetry back where we had very big opportunities in April and a little bit of May was the key difference. And we had a little bit of pockets, you know, in February and a little bit in December and such, but uh the most important thing that I want to highlight is that my P&L would be kind of just steady and just have pretty big spikes where the opportunity is the biggest. Uh like I said before, like the senior traders would try to lean into that skill being asymmetric on the best opportunities. opportunities. opportunities. It wasn't uncommon for some people to have like 80 to 90% of their profits come from

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like only 10 to 20 days out of the year. So, I tried to replicate that through my trading as much as I could. And uh the market in April and May was just super in play for the strategy that I take. I'm sure we all know what happened around that time with the Trump tariffs, but tariffs, but tariffs, but uh yeah, that's that's what I have to say about that. Yeah. No, I I I've spoke to I I see a lot of the top traders in my network uh all go big really. They have a lot of 2,000 days and then they'll have a 60k day out of nowhere and they all do exactly what

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you're saying. I've spoke to guys who've been in prop firms in the States and Poland around the world who also say in the offices and the prop firms all of the top guys aren't there most of the time they're only there for the hot markets and all of a sudden the office will be full one day and like so everything that you're saying is um is so relatable and it's such brilliant advice that I'm hearing from everywhere but what I wanted to ask you first is uh in your previous broker that you didn't upload is was that like flat or were you making money or Yeah, I think it was just extremely small. I mean,

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during this time I was trading at the firm, so I don't I don't know if I could upload my firm stats. It was sort of like a little bit Yeah, I don't know. They had their like own platform. It's not like we got like statements and such. I think I tried to upload it before, but um um um yeah, if I That's fine. It's the most important thing I want to know is in October it clicked basically. That's what I'm getting at. In October, something happened where you got profitable in a big way. What was it? What happened? Yeah. So, I think actually around here is when I left the firm around September of 2024,

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that's when I started trading my own capital. But once I left the firm and was trading my own money, it was the same exact sort of philosophy that I had at the firm where you had to be small on average days and size up on the big ones. And uh just throughout that time, we didn't have super big opportunities where I could swing the bat on that. But as time went on towards March and April, uh that big spike is when we had those opportunities and I was confident to swing the bat on those because I had this uh cushion from just trading well previous times. But um yeah, the biggest takeaway for me is

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essentially just sitting in your seat and waiting for those big opportunities and actually sizing up and having the nuance to actually know what that is. Um, I actually talk to a lot of u junior traders and try to help them out. And when uh they ask me, uh, you know, playbook questions and such like that, uh, I always tell them that the playbook is sort of everything when it comes to this. Like the only way that I'm able to size up on these big opportunities is that I'm super specific with what makes them good opportunities. It's not just arbitrary saying like, "Oh, this setup I think is good, but size up on it." It's like

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systematizing that very specifically to know which ones are the best. And I do this like through like a little checklist that I have intuitively, intuitively, intuitively, but that comes with like just all the work that I did the last four years pretty much. pretty much. pretty much. Can I just ask you like when when you when you left uh S&P were were you kind of thinking like that's it me I'm done with trading or or I'll give it one last chance by myself or were you like no no no definitely I know I'm going to make money on my own. I definitely believed in myself. This was something that I wanted to do with or

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without the firm. I think the firm not working out was just a little bit unfortunate. And I think I just think overall would have been better to trade my own money, have my own risk management. And it was a little bit of like the corporate lifestyle that was a little bit I got to say like I don't want to say too much. That's the wrong word. I just felt a little bit more comfortable trading my own money because it was I'm not sure how to describe it. It was just a little bit different psychology trading my own money versus the firm money. It was a little bit more real with my own capital versus the

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firms. Um definitely things like the desk fees and the split was a little bit challenging especially when you first start out. I wish it wasn't so high, but um yeah, I mean it was extremely tough at the time when I entered. Like we were in a pretty tough market in 2022 and it was just uh a little bit hard to bounce back after that and I just thought it would be better to trade my own capital with the skills that I had at the time with no split, no desk fees. I could trade pretty much uh whenever I wanted and sort of that relief helped me to you know scale up my own my own

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book I think I think I think yeah I I can completely understand what you're saying because like in in some respects I think going to some sort of firm is like trading is so difficult in so few major that the best chance of success you can give yourself for majority of people who aren't complete geniuses would be to go on firm and be with top traders every day because you want to surround yourself with the people you want to be like and that's just the best way of doing it. But on the flip side, how on earth with trading being so hard can you survive the split fees of being at a firm and what

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they want to take of profits? Then you've got to pay tax on that. And it's like and it's like what what is left of the money that you make in a game that's so hard to in the beginning? It's it's just it's like too hard, right? right? right? Yeah, for sure. I couldn't agree more. I mean, yeah, mean, yeah, mean, yeah, but then you've done it. But you've you've you've had your education, you've surrounded yourself with the best people, you've come out, and then you've got the best of both worlds, I think, in the end. the end. the end. Yeah, for sure. And I think for some people like a firm environment would be 100%

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better, you know? I think at least for me, I just felt a little bit more comfortable trading my own capital. And I've talked to some people on Twitter or X, whatever you want to call it. Um, it's sort of similar for them. So, there's definitely two paths to this and you don't have to be at a prop firm or not be at a prop firm to to kind of make it in that in this space. I think which which method of learning do you best recommend for every new trader? I think, you know, leaning into the traders that are very transparent like SMB Capital, they post a ton on YouTube. They have traders like Lance

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B who is verified 8 figureure trader. trader. trader. Those are the people that you should learn from, the most transparent people that have like nothing to hide. So that's people like LanceBagi LanceBagi LanceBagi um traders like that that want to share with you and uh actually want to see you do well. do well. do well. Yeah. Not not so much the other guys who are big big rooms sell it lots lots of courses cheap kind of thing right uh you know like the ICT traders stuff like that like they're just Yeah. Um, I have a lot of beef with the, you know, Topep type prop firm like Apex stuff. But anyways, yeah. Yeah. And that's

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that's a whole other thing like um with Topep I don't even know what the model is, but it's some sort of uh gamified competition of Do you want to describe a little bit how it works or what the issue? I think the difference with like a prop firm like Top or Apex versus like SMB is when you're getting funding as a trader. With Apex and all these other prop firms, there are so many rules. The market is already hard enough. At least at S&B Capital, like they do give you a little bit of wiggle room of what you could trade, how you could trade it, your draw down rules, right? you work with the risk

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manager to sort of scale up. With a firm like Apex, you have all these rooms that are built in for you to fail the challenge. Yeah, Yeah, Yeah, I understand that they want to give you funding and they're very picky with that, but there are some rules that are completely completely completely against how good trading should be. For example, consistency rules. We talked in this meeting about um asymmetry, sizing up on your best opportunities, right? If you're trying to do an evaluation at a firm like that like Apex, it's nearly impossible with consistency rules. I think I actually tried a challenge once once just to see and it's just futures, keep in mind, right? I

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didn't know about this consistency such uh rules and such and I got denied payouts even though I you know made money with that because of the consistency rule and they told me you have to make more money and eventually you'll hit your trailing draw down. um to me was absolutely insane some of those rules. You have to bet bigger on the best opportunities and firms like that constrict evaluations like that because they're they want you to fail the challenge to an extent. Um they want you to size the same on every trade and I just have a very strong belief that's not how you should trade. I completely understand what you're saying and and it's

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a shame because it gives some problems bad like when there's a lot of good ones out there. Gives some props bad rotation when there's a ton of good ones out there. But But But yeah, yeah, yeah, and I'm sure Yeah. And I mean I'm sure some people are consistently profitable at a prop firm like that, but there's just so many more that are not. And it's just sad to see because they're very predatory there. I mean, there's firms like SMB Capital that want to share with you. They post on YouTube, right? they share edge with you and people still gravitate towards those things and um there's so much free information out there whether that's YouTube,

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Twitter, whatever. And um you should really learn from those guys instead of the people that just want to make a buck off you. I don't know. don't know. don't know. It's it's the same with it's exactly what Kenfo is trying to do now. It's the same with the education space. It's like there's some good real mentors who've made millions of dollars and it's all proven and verified and they're on Kinfo's leaderboards and they've already made the money but they want to educate their way of doing it. And then there's a lot of other people who are better arguably many of them better marketers with no verification at all. And it's like for me I've got

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a ground rule of how can how can you teach if you can't do it yourself? You can't do it yourself on a daily basis. How can you teach it? It's a big it's a big rule for me. But anyway, we'll get sidetracked. Do you want to um show some edge? Show a couple of charts. I know that you've been keen. You've got some safe up and we'll we'll close out on uh on some of the charts. But so so far it's been a fantastic I love love love to speak to the guys who've been in in some of the problems. It's it's such a deeper insight insight insight than uh than uh than uh than

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the guys who just learned by themselves. But both both are interesting though. interesting though. interesting though. Yeah, for sure. Um, and also by the way, the way that I got into Kinfo was actually on Twitter. I always am really active. I post like executions like this. You can still see my screen, right? right? right? Yeah. Yeah. Yeah. So, I post a lot of these executions. There was somebody that replied to me that said that, you know, this is fake. Like, your P&L is fake. I'm like, I'm sharing like all these writeups and executions. executions. executions. Like, no. Like, no. Like, no. Uh, so I went and got verified on Kinfo and I, uh, you know,

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just at you guys on Twitter and that's how everything started with this. So, um, I'm glad that it did, you know. Ah, beautiful. And and now you're on now you're on here as well. So, it's h it's helped spread the right message. It's fantastic. Okay. So, so walk us through this. I don't see a daily here, so I'm interested in how you're going to walk walk us through this. Yeah. So essentially the biggest form of edge that I have is something that I like to call as exhaustion gaps. It's something that Lance um Lance B talks a lot about actually in his blogs. But essentially the way that I quantified this is you need to

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see four ATRs in the last five days. Some sort of hot theme or catalyst that's in play. And this could be like cryptos, semis, things that are like very retail heavy that you know grab the attention of a lot of retail traders and something that a lot of people might want to chase. So everyone wants to find the next Nvidia or SMCI or SMCI or SMCI etc etc whether that's with the quantum crypto whatever those hop themes are extremely important for this sort of playbook. So essentially I want to see an ATR extension on the daily chart. So the way that I quantify this is ATRs in the last five days and the way that

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I do this is just with my indicator right here. And um the reason why I constrict it to four ATRs in the last five days is one you could see historically like where it has traded on the daily chart and compare like the pullbacks when it gets to the top end of this range. But it speed and time is so important for this setup. You want to see an extension in a fast amount of time. And if you have the time element attached to the ATR, it makes it extremely beneficial. So that's the way that I try to think of it. And uh if you don't have that extension in ATR and you're just quantifying

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like, oh, it's up whatever x amount of ATR in weeks versus that speed up in ATR. I think that's a difference for this strategy just from a technical standpoint. Um, obviously you want to see like a high percentage move in uh a month or two months time, maybe even shorter depending on the stock. And you also want to see that capitulatory volume on the daily and increased volume on the daily. Um, once we have that sort of setup, uh, the whole point of exhaustion gaps is, you know, the stock actually gapping up and giving you sort of this backside trade. Yeah. And once you have that daily chart alignment, you just have to think of

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an intraday entry intraday entry intraday entry somewhere where you might get involved. And for me, that's either like an opening range break or just trying to short fast moves or long fast moves depending if it's uh on the long or short side. But a fast move like this, for example, opening range breaks or long lengthy consolidations after hours of uh sideways are the best areas to enter this. And I typically try to stick with these for sort of a trend day. So I have a few examples here. Yeah. So we covered like the top things here for ATRs, etc., etc. So here are some of the top trades that I've taken. And actually, you could

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I'm pretty sure you could see on Kinfo like my executions too, right? Or the P&L. Yeah. Yeah, we can see them. Yeah, we can see executions as well. Yeah. So, if you want to go back to that, I have no problem showing this. But essentially, like like I said, you try to short the pops there, opening range breaks, I would probably verse high a day on that. So, that was a good one on QBT, which is a quantum name. Uh IPOs are very good for this. This is a day three IPO trade where uh circle absolutely went ballistic like this stock uh had a very low pricing ran up the next two three days and

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even though I don't have like the ATR in days for this you typically try to get like the average range that it's trading in and when it's up two three days in a row closing at the highs or near the highs and then gapping up that sort of backs side trade is uh really powerful. So recently on circle that was a good one. If I go back to my executions is typically the same thing like I'm trying to find backside patterns under VWOP opening range breaks lengthy consolidations and I'm just trying to play the the intraday ranges for that. So that's on circle GME recently that was on 528. So, if you notice, like all

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of these are just super hot retail themes, IPOs, uh GME, this was like cryptoreated. They did the crypto treasury. Um Um Um yeah, just those exhaustion gap type patterns is uh what I try to capture. It's just the same thing over and over and over again, played the same way. Yeah. Yeah. Yeah. So, the big Yeah. Go ahead. Sorry. I was just going to say I would probably guess that you get these depends on how hot the market is. You probably going to get two to five of these a month or something like that. Maybe slow months you get two good months you'll get four, five and that's it. Five trades a month. Five good

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trades a month. In a in a good market, maybe in a slow market you may get one or two. Yeah, I would say that usually two to five is pretty normal. I mean, there's a lot that may look like it might be an exhaustion gap and it's not very good and those are the ones that you have to avoid, but like I said, being specific on your playbook, uh the nuances that we discussed earlier, those are the most important for me. And if you compare that criteria to the sort of worst ones, you're going to see that it probably doesn't reach all this criteria versus the ones that do work. um more often than not

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they're going to have those nuances for sure. It's it's incredible you've just gave that all of that criteria away. It's very nice of you to give that criteria away as well because it's I know this pattern because it's something that I've traded in the past. Not to those specific criteria, but it's a those uh volatile volatile retail stocks put a big gap in shortening them against the previous day support or what breakers took a couple of years to figure that out. So, for you to give it free right now on this podcast, uh, uh, uh, it's a great it's a great uh it's a great help for a lot of people if they take take

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notice. Yeah, I don't mind sharing it. I think um it's definitely easier said than done. I wish there was people telling me um you know, trade this setup, learn this stuff. It takes me it took me years to kind of figure that out, too. It's not something that comes easy. And even if you do have this criteria, um you still have to know how to spot them, where you're going to trade it, uh how to size up on it. All those are super important. And even just getting out that criteria, that's just the first step in trading, you know. So more than happy to do that. Uh it's and also trading it in real time

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is somehow it's a skill developed over years and years and years to make the chart at the end of the day look the way you want it to. like your charts, the way you've traded them, it takes a couple of years just to have the executions perfectly lined up anyway. Like cuz a lot of people can look at charts, I would have done this, I would have done that, I would have done this. done this. done this. But to to to make the chart perfect, trade it perfect, it's not easy. Yeah, for sure. Um I think is that it or do you have anything else to show or is that was pretty much it? Yeah,

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I mean I would say I mean just the last thing with all these examples, right? And just the P&L curve that we talked about uh before the biggest trade and the most breakout trade that I had recently was th this exact specific pattern on the overall market which we get um not very often. Um if you study the nuances for so this day here we actually did have that same exact pattern just on the overall market. It's the same sort of nuances right four ATRs in the last 5 days. And if you study this indicator um in the overall market you're going to see that it's actually not such a bad signal. Um and you

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could get this on Trading View for free by the way if you if you want it. It should be there. But um yeah, we had the biggest extension that we had in pretty much even before co like co didn't even have that big of a down move I think. Let me double you trade long as well as short which is interesting. You play it both ways. Oh nice. Oh nice. Oh nice. Yeah, for sure. This could I we had one on UNH as well that was a setup that we had. Uh I would consider this sort of an exhaustion gap that we had uh recently here. recently here. recently here. This is like a little

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bit of a day two play. Sometimes you get these day two plays where the day one backside is not as clean, but the next few days are cleaner. But um just that speed up and ATR extension on the daily followed with like the nuances and the intraday pattern. Um it it happens on large caps, small caps, crypto, anything because I think think think it has to do with uh you know human emotion you know like it's an actual inefficiency where a stock could be stretched stretched out like a rubber band essentially and it has to snap back eventually and you could just wait for that intraday alignment and uh there's good intraday trades that you

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could take from that you know so it happens everywhere long, short, small caps, large caps large caps large caps on the overall market. When you have that big of a catalyst with the Trump tariffs in play and that speed up on the daily, like we have that consistent downtrend and then we start to puke out multiple days in a row without a pullback. pullback. pullback. Uh that sets you up for such a good trade. And then also, we did have intraday news here. Um, I guess that was like the tariff pause that we had that was sort of leaked. It turned out not to be true, but that's what this move here was. But honestly,

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this move here was just enough for such a big intraday trade where I wanted to size up on. Um, so yeah, I mean I did get a little bit lucky on that breaking news there. But, uh, even not counting that, like this move in itself was one of the biggest trades that I've taken because of all the nuances we kind of discussed. Yeah, it's beautiful. Do you want to stop sharing now and we'll just we'll just close it off. Sure. Sure. Sure. Yeah. I just want to quickly talk to you a little bit about So did you you talk you took obviously some of the Trump trades. I I made um I paid for I

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paid for about I'm getting married next week and I paid for about 35% of me wedding thanks to the Trump's tariffs. But I just I just thought I felt I felt a little bit sick how expensive me wedding was and I like I'm going to I'm going to throw some money cuz like but if you talk us through your mindset with the tariffs cuz for mine it was like the market completely panicked. the entire market completely panicked over the Trump tariffs. The tech sector the tech sector led with the decline because of the most volatile stocks like um like Nvidia and your Tesla and like the Magnificent 7. And I just thought this is my

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philosophy. I'm don't make anywhere near the money you made. But my thought was this is no reaction. As soon as the deals are in place, it's going to come back. And Trump always threatens something bigger to to ne is a tactic to negotiate a better deal. and he wrote it in his book. So surely so surely this is all going to get resolved and this is a huge overreaction. So I threw I threw all of the money I had for me wedding all of the money I had to pay for me wedding I threw into the into the sp no into the a selection of the top magnificent seven stocks and it paid for 30

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40% of me wedding but what was your and then I've I've still got some in but I sold most on the on the bounce but what was uh what was your thoughts on that? I mean, same exact thoughts. Um, exactly what you described, like Trump always tries to get some negotiating power by being super extreme and then coming to the middle. If you study the 2018 market, it was very similar as well. And uh, tariffs are something that is very elastic in the sense that tomorrow could be 20%, 100%, it could be zero. These are all just negotiations. And it's short-term panic. Whenever you see panic in the market, I want to be fading that.

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Whether that's in large caps, small caps, any extremes, those are good trades. And when you get that in the overall market, it's particularly special because the intraday is going to just be so much tighter and the probabilities are also better as well because you have so many market participants involved in that sort of idea. idea. idea. Yeah. And it's it's the same with uh Warsel at the time as well. Wars create panic that create volatility. But then if you look at uh any of the wars going on now, the market's only at all time highs and there's about five wars going on all all at the same time. So like it's interesting. Yeah. But do

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you have any final advice? Any golden nuggets? Any pieces of uh final thoughts before we close out? Yeah. Uh some things that I actually do want to talk about a little bit. um just like advice for newer traders. Some things that I would want to hear if you're like sort of developing and wanting to trade on your own. I think some of the biggest things in your development is working with uh like-minded people, building out a team and a pod. That's uh what we call it at SMB. just uh you know making a group chat of like-minded traders and sharing executions, executions, executions, prepping ideas and talking through some things is one of the most

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important skills in my development. Like if it wasn't for wasn't for wasn't for uh my pod and you know pushing ourselves every day and being on voice chat and just talking through ideas, you won't have uh such big ideas like that. So, I think that's really important as well. Um, something that we didn't talk about before, but um, yeah, edge is extremely important, specifically not your psychology, and it's mostly your playbook. You'll have better psychology with a good playbook. Uh, being very specific with the nuances in that playbook, and then working on that with the team is just super valuable. That's the best advice that I could give to any trader trying to develop. I

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think it's uh it's it's as well what I didn't realize is that a lot of the best traders that I know all know each other. It's like it's like a club. All of the top traders cuz uh go to different events and I do different interviews with different people as well. So I interview a lot of these guys. One thing I realized is they're all in group chats together. They're all in group chats. They're all in different chats. They all know each other from different places. And I'm like it's like holy All you guys even with different rooms who teach each other, they all know each other. And many of them sit on the phone

S22-P0100 original line 52, characters 104575:106063
all day talking ideas through with people. Exactly what you just said. So this is like if there ever was a secret to success, it's it's this. It's that you're like you need you need to be in a group with other talented traders who want as much as you. as you. as you. Exactly. Yeah. Exactly. Yeah. Exactly. Yeah. Yeah. All right. Thank you so much for your time. It's been invaluable. Fantastic interview. Really looking forward for people to seeing this. Yeah. Thank you. I really appreciate it. Thank you for the time and uh hope you take care. [Music]

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He REJECTED Charts And Made 780k Trading Options

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📅 Uploaded: 2025-08-14

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⏱️ Duration: 0:31:14

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👁️ Views: 5,366 (Rank #1 of 1)

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💬 Comments: 30

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📼 Playlist Progress: 1:02:28 of 0:31:14 (200.0%)

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👉 Check Frank's performance on Kinfo: https://kinfo.com/portfolio/73520/performance

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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Frank has been trading for over 25 years and is now verified on Kinfo with $780K in profits.

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But his path was far from easy - a major account blowup, $20K in credit card debt, and years of grinding before his edge finally clicked.

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In this episode of Undiscovered Traders, Frank shares the full arc of his journey: how video games led him to the markets, how a broker error saved him from a second blowup, and how his current strategy - based on quantitative option modeling - aims to beat the market by 5–10% per year.

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He breaks down the flaw in most public strategies, why he stopped trying to predict, and how emotional neutrality became his biggest strength.

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📖 Chapters:

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00:00 – Meet Frank

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03:39 – The pump-and-dump era and losing it all

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06:33 – How science shaped his trading approach

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09:15 – Two wipeouts and family support

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15:30 – Breaking down Frank’s Kinfo chart and $800K journey

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20:57 – The call options strategy that tracks and beats the market

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28:03 – Advice for aspiring quant traders

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#trading #daytrading #kinfo #options #quanttrading #undiscoveredtraders #frank #optionpricing #options #longtrading #marketpsychology #tradingpodcast #shortselling #optionstrading #chatwithtraders #finance

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✔️ Follow kinfo: https://x.com/Kinfo

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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🔴 Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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You've got a completely different approach to like 99% of traders that trade the market. So this is a complete strategy that I believe it has a good chance to beat the market. That is a higher level of thinking. >> But yeah, that that is my strategy. I position myself in such a way that Welcome to Undiscovered Traders, the only podcast that interviews 100% verified and transparent traders. Today is special. Why is it special? It's special because I've interviewed hundreds of traders. And Frank, you're the only one that I've seen who consistently beats the market through the highs and through the lows. So, I'm just going to go straight into it. Frank, how was your path

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to making $800,000? $800,000? $800,000? >> It's been a journey. Uh, a very long one, too. Uh, I think I'm probably your oldest interviewee ever and possibly also the one with the longest trading experience. experience. experience. I started trading all the way back in 1997. Well, I grew up in a different country. Hey guys, super quick start. 86% of you guys if you check below who are watching this content are not subscribed to the channel. So all we ask is if you like the content, drop a like. If you want to subscribe to see more episodes, please do hit that button with the alarm bell. All it means is that we're on a mission to bring

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more transparency to the industry with 100% verified traders. If you like and subscribe, it's going to help us grow so we can continue on that mission. >> And I came to the US to do my PhD. Uh that's why I remember exactly that was 97 because I just got my PhD. Uh believe it or not, I got into trading through playing video games. Uh I was quite an avid game player. I like well I don't play any other games except strategy games. I enjoyed the challenge of figuring out the best strategy with the given set of rules set forth by the game and try to figure out a way to beat the game. I was

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playing this obscure game kind of. It's called a war inc. Basically, you are a mercenary company. Try to fulfill military contracts. It has a crude stock simulation in the game. So, I found out if I can just avoid all the losses in the stock market. You know, if it went bad, I just I save before the next day happens and if it went bad, I just reload the and >> then, you know, avoid that loss. And I found out how quickly you can grow your money if you can just avoid the losses. I I I >> I'll just tell you an interesting thing, Frank. Um Frank. Um Frank. Um I would the How old are

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you, Frank? Can I just ask? >> Uh right now. >> Yeah. >> Yeah. >> Yeah. >> 57. >> 57. >> 57. >> You're not too old. You're not too old. But it's what I wanted to say is that there's not a lot of the young 18, 19, 20 year old traders are avid avid gamers who are now millionaires. So, it's interest to see the same trend 20 30 years ago. Um, you you were an avid strategy gamer and it's it's the same pattern of gamers become good traders which is interesting. But I just wanted to touch on quickly you were in the pump and dump era. Can can you spend like one one one or

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two minutes on telling us about your pump and dump history and and then also I know because we were speaking earlier you you you lost it all. So tell me about your pump and dump history and how you lost it all. >> Uh there was a lot of back in 97 there was a lot of pump and dump going on and every day some obscure stock would just grow exponentially and then maybe midday of that day it will come crashing back down. I remember there was a group called Tokyo Joe. Uh back then there was only emails and whoever's in charge I guess email everybody on the list uh what stock they're going to buy

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and then everybody rushing to buy some small market cap stock. I didn't want to be part of that group of course because I kind of think that's illegal. Um and uh you know also the the the growth phase vary varies greatly by the length you know it could be 15 minute could be two hours could be three hours by the time I discover what stock look like a pump down it probably take me 20 at least 20 minutes after it has happened so I don't think I have the ability to catch the upside I decided to to short uh because every one of those will eventually come back down to earth. Uh I started with

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a small amount of money, had some initial success but didn't realize the risk involved. There was this one day fateful day like I shorted with 70 75% of my money. Leaving the stock has reached its peak but the problem has kept growing. It it kept growing way longer than I thought it would. And of course my broker have all this automatic system in place. They will automatically clear your position when your account reach zero. So yeah exactly at the peak of that day my broker cleared my position my short position and I was broke. Blew up my entire account. That was my first expensive very very expensive lesson for risk control and all these kind

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of schemes that you try to take advantage I think the best lesson is not to be part of any of those schemes too. schemes too. schemes too. >> Yeah. But I think looking back I remember just to give a bit of context I mean in that time period it was just before I started trading about 10 years ago and and before people used to put mailers through the door and then then it before they put DVDs and envelopes through people's doors to get people to buy the stocks. After that it transitioned onto emails when emails become more popular. Uh some some awesome penny stocks was one of the ones of my generation sent blast emails

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everyone would buy. They send more and more emails. the stock would would go up exactly in a smooth line like this pattern and then out of nowhere it would crash and and and you were short in that that crash. So basically you made the same mistake that everyone makes of being too greedy thinking that you could catch it early and then it went higher than you think and and you lost it all. >> Yeah, that's what happened. >> And can I just look a little bit into your background because can you tell me a bit about your background because you're you're into science. I've I've never had a scientist who's a trader. So how does

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science help you in trading? >> So yeah uh I got my PhD in biotechnology and uh with it comes with a lot of practices of statistics uh and also the way of thinking uh how you don't believe anything until it's proven by logic and science. Uh that's why I eventually became a quant rather than uh like a technical analysis trader. Um because majority of the technical analysis uh things don't really have like a strong scientific ground to support it. Like you know if if if they tell you this pattern this pattern this pattern will result in what kind of stock pricing reaction? I would ask the question you know do you have the the statistics

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to to support it? Do I mean first of all how do you mathematically define that pattern? If you tell me this is cup and handle double peak support first of all you need to be able to mathematically mathematically mathematically define that pattern and secondly you have to have statistical data to support like what percentage with what kind of standard deviation of that pattern. So you know how the stock price is going to move. But most technical analysis don't have that kind of you know data to back it up back it up. So that's why I don't believe like at least 95% of the technical analysis I don't believe in. Um but I believe in statistics.

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I I'm a so that's why I'm a quant and I trade right now I trade based all based on statistical analysis. statistical analysis. statistical analysis. That's that's crazy to me because you've got a completely different approach to like 99% of traders that trade the market that I know that I know. >> But I mean would you would what do you for you do charts even matter when trading? trading? trading? >> Uh well charts do do matter uh is but not in the way most people do. uh I have my own way of looking at the charts uh and draw conclusions what I believe I can draw but not the kind everybody else is drawing I

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believe >> I think I think that's so fascinating and I I want to get into a little bit of your kin for your journey the way that you're training we'll get into it uh but just just quickly I just wanted to ask you like you've had a crazy long career 20 plus years training were you ever like nearly wiped out was it nearly all over. Uh and and how did you recover? >> Yeah, I was I should say I was wiped out like one and a half times uh actually I'll tell you about the halftime too, but the first time is just like I mentioned uh when I try to take advantage of the pump

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and dump. So back then I in 97 I started with $3,000 all of my savings. Uh grew it to like 5,000ish 5,000ish 5,000ish and became overly confident and telling my wife, "Hey honey, I can I think I can make money doing this." And just like everything else I promised my wife, she would just say, "Okay." And um then I borrowed from credit cards like with 20% interest. That's all I could borrow. Like I borrowed $20,000. I had 5,000. So that was 25,000. That's when I did the pump and dump. I mean before the pump down, I actually I believe I grew the 25 to 30. And that pump and dump thing blew up all that

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entire 30k. Yes, that's expensive. Let's Yes. Yes. Yes. >> I mean back then as well that 30K is worth 100K with inflation. My salary I was doing my posttock my annual salary was 30k I have to my wife is not working we just had a newborn son and he was just a little bit over a year old my wife was you know full-time at home taking care of the baby so that was all my one year income >> god and and tell me about the time where you nearly blew up or you didn't blow up >> so that that is the one I did blow up but then after that my wife basically told me

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after I told the news to my wife about the 30 blew up. My wife did the most amazing thing. I think you know most people wouldn't react like her but she basically said okay we're going to work this out all together. We'll I'll go find a job. We'll pay off the debt and I'm telling you that one day you're going to go back to the market and make it all back and even more. And that's what she said and I still um remember that to this day. Uh but anyway uh so I was in a small town Syracuse doing my posttock and she couldn't find any good job so she went all by herself to

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Atlanta Georgia to find a decent job and I would stay home and take care of the baby and try to pay off the credit card back. So until it was until 1999 we were able to pay off all the credit card back credit card debt with that 20% interest and I was able to accumulate few thousand uh well actually I think uh about 10k again and uh I was still doing kind of stupid things uh well I had better risk control but still not enough actually and I still was trying to out guess the market outsmart the market there was this one particular trade. The market behaved exactly opposite of what I believed it would

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do. I mean the stock I forgot which direction it is. Um the stock basically went the opposite direction and I putting a substantial amount of that 10k into that trade. I I kind of oh my gosh I'm down for this. I I can't do this. Um I was using online company called day back then. Uh day eventually was bought by a trade. Met trade eventually merged with TD Waterhouse and then now they got bought by Charles Schwab. But anyway, uh they tech actually contacted me a few days after that trade and told me sorry we executed a trade exactly the opposite of your your in your your order. I was like how is that even

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possible? I mean I thought everything is automatic. Yeah, that that was amazing thing. Most amazing thing ever happened. I don't think it even actually ever happened anymore. So, so you were meant to blow up. up. up. >> I didn't lose it, but I and made a substantial gain, but it that was a huge blessing because not only I learned a huge lesson from it, but I didn't suffer a loss with that lesson. >> But but just to get this right, you were meant to blow up your account a second time. time. time. >> Yes. >> Yes. >> Yes. >> And the broker messed up >> and you made money because of the broker mistake. mistake.

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mistake. >> I know. I don't know how that would even possibly possibly possibly happening. So yeah, I don't know. I mean, back then, I guess there's still manual process of that trade or something. Not everything was automatic perhaps. I don't know. C >> can I just ask how many years did it take you to learn risk management because it seems like you were many years in the game to just get risk under control. How many years was it? >> Well, that will be two year plus. uh because after that experience, the almost grew up experience, I realized I I couldn't do it the same way anymore. I came to the conclusion uh that basically there's

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no way I can predict the future. I don't have the ability to tell how the market I mean how a particular stock is going to change in the future. I mean you can do all the analysis they tell you how to do it but I think the chance is just 50/50 which way the market the stock is going to go afterwards. So once I made that decision and follow it strictly the whole world just opens up to me that I just look I approach the market totally differently. I I try to think about things totally different with the constant telling of myself no you cannot predict the future. So figure out something else. Uh it's

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it's incred it's it's an incredible it's incredible lesson. And can we just I think everyone by this point is dying to uh to have a look at your profit chart understand this strategy that uh that you've been having unbelievable results with. We we spoke a couple of weeks ago and we spoke again and in that time you've made 50k. So So So >> well the market has been very well >> very cooperative. Uh, okay. Let me take a look uh my current Kingfo chart. >> And by the way, it's it's absolutely fantastic to uh to have you on Kimfo as well. So So talk me through the the initial spike. Is that back in April,

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May? And then talk me through uh from July onwards. So this is from about 2023. So in the last two years, you've nearly made a million dollars. >> Yes. Um >> that's incredible. So before this I I think I was not trading in this particular account. Uh there was some minor activity. Uh but in a different account I believe uh but the main thing is uh I was taking care of my mom back then 24/7. then 24/7. then 24/7. Um before this um my mom was seriously ill and the day helper only could help for 8 hours and for the rest of the 16 hours it's my uh duty to to to take care of

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my mom. So so I couldn't trade really that part uh very depressed too. Uh this is a part I got into the market again contributed this part mostly to luck actually actually actually um I was doing a very stressful strategy uh require me uh constant alertness constantly watching the market every minute and still I believe it's it's mostly due to luck I I I made good games on this part >> what was the strategy can you give any indication of what you were trying to do and how was it options equities. >> Um yeah, this is when I initially got into options actually. But this period also allowed me to learn a lot of lot

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of things with option trading. I've always wanted to get into option trading. Before this is all equity I had a long 20 plus years of equity trading, but this is when I initially got into option trading and had beginner's luck. But I had to do some overall analysis of all my trades and I came to the conclusion here this part is mostly due to luck. Actually the market just cooperated with my strategy. And uh this period I was trying to develop different strategies. I had I can have more confidence in that you know I can be sure this is due to my system rather than the market. I believe because when I'm doing testing I

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was using a different account to do the testing. this so this account became mostly inactive mostly inactive mostly inactive uh during this period so it's a it's a fairly long period of testing looking at all sorts of strategies I believe the official date was May 13th last year uh my account moved to Charles Schwab but that's also when I officially started this account to do full amount uh investment based on my uh system or strategy whatever the amount it calls for to invest so this is a complete strategy that I believe it has a good chance to beat the market. So my focus wasn't actually just to make money but kind of peg myself against

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the market and hopefully most of the time I can track the market but when opportunity arise I can beat the market overall. I mean, the chances of beating the market only happens like a number of times, half a dozen times at most a year. But those opportunities accumulate and compound, which allow me to to to be able to beat the market fairly reasonably with a fairly reasonable amount every year. So, uh, Kingfo only tracks the trades where I think when the position is cleared, but myself also track the value of my positions over time. So that would be a a different chart. Let me also share that one actually. actually. actually. >> Yeah. I mean

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if you ask what separates a a a millionaire trader or upcoming millionaire trader from a losing trader. One thing that I noticed with you is that you made $400,000 and then and then you said actually I don't like that strategy. Like you made 400 300 $400,000 and said I'm not sure about that strategy that just made us $300 400,000. When I really think about the numbers, I don't know if that makes sense. Nobody does that. Most people make half a million and then get too excited, put even more in and blow up. So, So, So, how how did you do it different? >> I guess that might come from two parts of me. Uh, one

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is my scientific background. So, once I done enough trades, I I go back to do statistical analysis and decide whether it's due to my luck or due to my actual system. The second one being my long experience in trading. Uh I've been through everything for that 20 plus years and I had various periods of a strategy working very well for several months and then all just go back to losing everything and uh wipe out all the games that made in that several months. So I had enough experience of those. I'm very aware of that that several months of init of success does not equate to that strategy uh working permanently. So yeah I did that

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analysis and decided like I don't have vague decisions I once I make a decision I follow it strictly. So I made a decision it was due to luck. So I decided to develop other strategies >> like front you might not realize this because it's the way you think but that that is a higher level of thinking. That is a higher level of thinking than most people think. Just just for you for you to know that. I mean, most people would get carried away with the emotions and and and lose. But let's I'm I'm curious to understand your strategy. So, if we can um go into kind of the nuts and bolts of of how you

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trade. I see a bunch of options here on on uh call options. >> Yes. Um so, yeah, I mostly just do call options. uh that's also based on my mathematical modeling and based you know which also the strategy that's or system that's de developed after that currently the market have option models basically for everything uh it's the same kind of model for every underlying asset I believe there are differences of the modeling based on what the underlying asset is so that's what I try to do I develop different models because of the underlying asset is different And I of course find certain opportunities when when the model tells me the actual price is better than

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what the market is selling it for. So I buy options um based on that. This is my own chart tracking not just trades but my positions too since May 13th last year. Uh the blue line is my performance. The green line is NASDAQ and orange one being S&P 500. >> Wow. So the main the biggest feature of my performance compared to the market is when the biggest draw down happens I lose less than the market. I mean if you look at this big draw down here my blue line lost a whole lot less than the market and if you look at this this draw down especially this peak if you look at this downturn here

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my downturn is so much smaller. I also have better games um when the market rallied. So like this one the market rallied this much but my rally is is bigger. I mean other parts I just track the market. So this part when the market rallied I kind of just tracked the market and this part when the market rallied actually for this peak I I gained much better than than this rally but overall this entire I mean like the earlier part of the rally I kind of just track the market and this part too uh you know for the smaller downturns sometimes I suffer more but yeah that that is my strategy. I pos I position

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myself in such a way that when big draw downs happen I I lose less and and when big rally happens I I gain more and the rest kind of most of the time just be able to track the market. It all comes from how I position my options at various times. I I keep constantly adjusting my uh delta, theta and gamma exposure all the time. I don't know when is the optimal time to adjust them. I just adjust them based on certain criteria and once in a while when I hit the jacket like once in a while I just positioned all those positions right at the right timing and then I can you know outperform

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the market while other times when I just constantly adjust them it it just kind of tracks the market not losing pretty much not losing to the market. So that's that's how over time I I'll perform uh the market >> but just just to go back to complete basics. So if we go right back to the start on a basic level, you're always trading call options. Is that correct? >> Uh not necessary. I I I do mix in some some put options here and there. Uh but based on my model, put options are not very uh profitable. uh while the call options have a much better chance uh but still there are v various times I

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have put options in there and they uh over the history my put options also made money but they don't make as much as a call call call >> so you trade call options you trading call options on is it against the overall market indexes >> uh no they're pretty much with the market index um but the key part for me is I have to constantly adjust just the my positions to the optimal delta, gamma and theta to minimize the risk and maximize the reward. So at various times depending on the market I bought somewhat in the a price somewhat out of the price or right at the price or sometimes even deep in the in

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the market. It all depends on the um different timing of the market because option is time sensitive and the market has time sensitive behaviors like when it falls it falls quickly but when it grows it grows gradually and those can be all sort of put into my options model. model. model. >> Yeah. So it's a it's a it's predominantly call option strategy following the market but you you're and it's trading the indexes going with the indexes but you're doing something with the delta gamma theta that gives you an edge. uh is there any kind of detail that you can give or how you figured it out or out or out or how you discovered the

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edge or how you've defined an edge that allows you to beat the market including the phase of the options. Uh that gets into the modeling which is of course like require a lot of calculus and and this this is when my scientific background came into play. Uh um I was always good with physics and analyzing market actually requires physics skills actually not just mathematics but physics skills. A lot of a good successful traders or something actually came from a physics background. I believe if you know James Simon's teams I think the two guys who made breakthroughs for James Simons if I remember correctly they both came from some kind of a physics background but yeah

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that will be like several days of of of talk to analyze all those details uh of those mathematics and or it's a physics kind of thinking but the the the actual process is all mathematics. >> Yeah. You don't really require charts. It's all in the numbers. >> Yeah, it's just all the numbers. You you you crunch numbers. Um you collect all the data and then crunch them. >> And then so I presume you've got some complex mathematical equations that'll the delta, the theta, the gamma, and you're just spotting where there is edge to put certain money in one of the the options kind of pots. Yeah, that's uh that may not be easily duplicated by

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our viewers here, but I I guess the way of thinking still matters how how you approach things, how you use your strengths to de develop your own system. >> Yeah. So, so let's do that. Let's close on first of all, I think it's absolutely fantastic what you're doing, but let's just close on something for the viewers, I guess. So any advice or to help a quant trader get started? How a quant trader can develop an edge? Just something to pass on to someone who might be inspired and want to follow in your footsteps. Um for one the first step uh the most important part I think is to you cannot be emot emotionally affected by

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the market or emotionally involved with the market. Uh emotion is a very advanced feature of intelligent life forms. I believe I guess it gives us the edge in other parts of life but in trading they are always bad. I mean, if you I'm quite keen on on uh how human emotions and how they affect uh people's decisions in in stock trading. I did my analysis and found out all normal human reactions, emotional reactions to the stock market. Uh price movements are all bad for trading. They they almost like always are opposite make you make the opposite decisions of in terms of what you should do. I remember I still remember it the day I suffered

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my greatest single day loss that was several years ago. I remember it was 82k I sorry uh yeah 82k I I suffered in a single day and at the dinner table it we were talking chatting about various things of our daily life and my wife of course popped the question hey how was uh trading today I said oh by the way yeah I had my biggest single day loss I lost 82ks and she said okay and we went on to discuss other things so that's that's already became kind me like I almost ignore if something's good or bad. They're just news to me. Uh it's just something happened. I move on to do the next

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thing. If a average trader can also sort of not to be emotionally impacted by the trading routes, that' be the first step. Secondly, I you always have to have your own things. You can't just just believe all the crabs they tell you uh from whatever the public uh knowledge base. If you can do some simple logical analysis, you know, there's no publicly known system or strategy that make you make money. You have to kind of engineer things together for yourself. So don't believe anything you hear. Figure out what you believe yourself and put put together your own system. That would be my point here, I guess. >> I think that's a fantastic way to wrap

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up. Uh Frank, it's been a pleasure to interview you, pleasure to talk to you. Incredible to hear this story. >> Um my pleasure, too. I really appreciate this opportunity. this opportunity. this opportunity. >> Thank you, Frank. And um um and for anyone who wants to leave questions, leave leave questions in the comment box and we'll put them to Frank and we'll we'll we'll get some replies. Thank you. >> Thank you, too. [Music]

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Inside Multi-Millionaire Trader Kyle Williams’ $600K Month

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📅 Uploaded: 2025-11-03

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⏱️ Duration: 0:52:18

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👁️ Views: 4,472 (Rank #1 of 1)

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💬 Comments: 10

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📼 Playlist Progress: 1:44:36 of 0:52:18 (200.0%)

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👉 Check Kyle's performance on Kinfo: https://kinfo.com/portfolio/19232/performance

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👉 Learn more about Kyle and Clover Trading: https://clovertrading.lpages.co

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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Kyle Williams just wrapped up a $600k month, bringing his verified Kinfo profits to $8.2 million - now sitting #5 on the all-time leaderboard.

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This episode marks the first in Kinfo’s new “Month in Review” series, where top traders walk through their end-of-month recaps, share their biggest wins and losses, and explain the mindset behind every trade.

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From compounding wins to managing risk, you won’t want to miss this transparent and educational breakdown from Kyle.

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📖 Chapters:

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00:00 – Intro

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02:55 – Kinfo PnL chart

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09:15 - $TSLA swing trade

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12:00 – Thoughts on the AI bubble talk

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14:38 – $BURU short

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24:33 – $IREN: spotting hot sectors

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30:47 – $BYND: the month’s biggest runner

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51:07 – Who Kyle wants to see next on the show

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🔑 Key Learnings:

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- Patience pays - letting setups work instead of forcing them.

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- Don’t chase weakness - let strength come to you before shorting.

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- Swing trades can outperform day trades with far less stress.

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✔️ Follow kinfo: https://x.com/Kinfo

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✔️ Follow Kyle: https://x.com/traderkylec

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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🔴 Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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#Kinfo #TradingPodcast #tradingperformance #tradinganalysis #tradingcharts #KyleWilliams #StockTrading #stocks #SwingTrading #DayTrading #ProfitRecap #Tesla #StockMarket #TradingEducation #MonthlyRecap $TSLA $BURU $BYND $IREN

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Today's breaking down nothing but the charts. charts. charts. >> BY and D just the the the biggest boy of the month. This was the spike I wanted, right? This was the spike that I told myself to wait for because this is this is great getting short a seven plus risking off eight. That's the spot. All you needed is one more lower low in my opinion to then break these lows and then now you get your confirmation. And so that's kind of what happened where once we broke up, [music] I then added a little bit more into that balance and then right, you know, seconds later, what first caught my eye on iron was that it

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had this massive move from 10 to nearly 20. And then I realized, oh, it's in the data center sector. That's a hot sector. It's like, okay, I'm now up, you know, at least 10% of my position. It's already fading in after hours, kind of um giving you glimpses of a possible gap down. That would be enough for me to say, hey, giving me the green light, say, okay, let's swing it. Welcome to 30 minutes of charts with Kyle Williams. Fresh of a $600,000 month and 8.2 million in total profits. Kyle currently sits fifth on our alltime leaderboard. And today he's breaking down nothing but the charts. So join us as he walks us through his

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October 2025 trading performance. But first, uh, before we start, Kale, last time I saw you was on the back of a bus in a fella in Colombia. I think that story that that story needs a little bit of context, but [laughter] not to say it's like, wow, people are going to question how that happened. H, it was actually for a charity initiative. But, uh, Kale, how are you? How's life? How's trading? You have recently been married. We were both We were both not married and we both >> Congratulations. >> Congratulations. >> Congratulations. >> Congratul >> Congratul >> Congratul in Colombia. Um, yeah. Congrats. That was cool. Yeah. When when uh Mine was in May. When

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was yours? It was a little bit later than that, right? >> Mine was in June. Yeah. >> June. Okay. Everything went well. >> Yeah. One of the best days of your life. Yeah. It was a fantastic day. We got very excited. The rain came just after. And And for you? >> Yes. Um, everything was good. Same. The the wedding day was amazing. Uh, the resort was awesome. And, uh, yeah, arguably best day of my life. It was great. So, um, but then other than that, um, yeah, trading's been good. Um, yeah, October coming in at a at a my second best month. Um, didn't really have any expect I mean, I kind of always I

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don't really ever have hard expectations, but as the month was was progressing, it just kind of day trading wise and opportunity swing trading wise were just so good that uh, you know, one win and one streak kind of piled on top of another. And, you know, now I'm sitting at, you know, arguably my second best month if I don't, you know, we have one more day of October. So, knock on wood, I don't find a way to screw it up, but uh um yeah, really good. I'm I'm very happy with how it's gone. So, gone. So, gone. So, >> that was fantastic. Like, so we'll talk about the entire thing, but let's get straight into

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the charts and let's make the first chart um your Kinfall profit chart. So, let's have a quick look at how uh how your overall trend's going and then let's just get straight into the the recap of October. But yeah, this is my profit curve. Um, going back to it's funny. This only goes by 2019, but I mean really I didn't have much of a profit till then. Um, some of my oldest accounts were there too that I I don't even have anymore. But you can't even tell the the difference. It's so funny when the chart grows all the little details that I used to be a part of or see or feel, you know, you

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just can't even see anymore. Like my biggest loss at the time, you can't even see it anymore. anymore. anymore. Um, so it's funny how far how far we've come. uh you know coming up on almost 10 years now since I first started. Um but yeah, here it is going um I don't want to say parabolic, but it's it's I've been speeding up as of the last couple months. It's been it's been nice um because we have what two more months left of the year technically and uh and I've already technically passed my previous best year of 2021. So, it's it's a good feeling. Uh, and lets me know I'm growing and I think we can,

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you know, see that in the chart here in terms of just how extended it's getting. Um, run some technical analysis on my chair chart here. So, >> I mean, and and just and just thinking about that, is there anything that you kind of you attribute this this recent parabolic turn? I mean, obviously compounding, you're getting better, but is there anything about the market this year that or the market this month or this year that that's really helped? Uh I think I think getting into swing trading made a big difference for sure. I mean just from a just using a hindsight bias of like adding up the profits that I have made from swing trading since

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implementing it and then thinking about the fact had I just not done that like if I just said you know what in other universe I don't swing trade at all. I just keep day trading um would still be good but like arguably pushing seven figures of swing trading profits since May. Uh I don't think I'm entirely I think I'm like right at the cusp of like 900 and change somewhere. But it's like you just kind of put that in perspective of like if I didn't swing trade, if I didn't start swinging trading, um I'd be, you know, $900,000 and change less money in my pocket, right? Um and so I'd still be doing a very

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I still be having a very good year, but it's like, you know, I'm at if I'm at 8.2 can call it, you know, 7.3, you know what I mean? Like it's it would be a big cut out of this recent kind of move uh in the equity curve. So that's been a big help. Um but in general also just like sizing up. I I have been pushing size uh and and and slowly, you know, going to new emotional um levels of acceptance with losing, you know, beforehand it was like, you know, 10 years ago it was like I lost 20 bucks a day. It was it was the worst thing ever. Now we'll go over

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charts where I lost 20 grand and I feel slightly irritated, but I don't lose any sleep at night and I move on within a couple hours of reviewing the trade. Right? It's like the the scale at which I want to get and will continue to grow I think will ideally if I stay profitable right and have still continue my edge like it's only going to increasingly you know those numbers are only going to expand. So um it yeah >> it's incredible and and how did that um how did that evolution into swing trade and how did it come? >> Um so it came from when I well it there were like seeds along the way.

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So, the first real seed was when I had my new biggest profit of November last year, 2024. So, almost a year, a year coming up now. Um, where I made it wasn't all one trade. It was the same trade but in multiple different accounts. Um, but all in all, all the trades added up to like 600 grand plus in profits from MSTR uh that I went long in it. Um, and it was such a such a vastly bigger profit than I've ever seen before. Like I think the biggest profit I had prior to that was like 200 grand. So, I just 3xed my biggest profit um giving me my my biggest month ever. And when

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I was reviewing my year, I was like, how do I replicate this, right? I understand I don't have to I'm not going to replicate 600k gains like on a weekly or monthly basis, right? But if I can just pull pieces out of what I did right, in this trade and try to implement it further in any strategy or risk management that I have, like where can I, you know, where can we grow this? Um, and ultimately what it came to when I really broke it down and looked at it, I was like, well, I I was swinging trading like I I held this thing for 2 months, you know, almost 3 months. Um, I think

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like a month and a half. It was quicker than I thought it happened, but like I let the market or the stock work for me. It wasn't me trying to day trade every single day. It's like I literally just let this runner ride, you know, 100 200% in my favor. Um, and when you have a lot of money on the line or in the stock, it's like that really, you know, exponentially grows as the stock, so does the stock. Um, and I try to like, well, it's like, well, can't I just be bigger on like some short sells I take or like on some day trades I take? And yes, of course I can. Um,

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but not not at the risk tolerance I'm at, not at the willingness to, you know, push shies I'm at. I mean, maybe in a few more years I can get to that level, but like where I stood currently to start 2025, I was like, I am nowhere near the day trading level or risk capacity to pull out what I just pulled out from a swing trade. Um, so that really made me think like I should consider it. And then I kind of came across swing trading and actually learning how it's done. And I looked back and I reverse engineered it back to MSTR. I'm like, "Wow, I kind of did I I did it before

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I knew how to do it, [clears throat] you know, cuz like if I already in a hypothetical scenario, if I knew how to swing trade um and I saw MSTR, I would have bought it as a swing trade and it would have made me good money." So, it's like I I kind of, you know, the apple or the the egg became for the chicken, right, in terms of or not the apple, the egg became for the chicken in terms of me like nailing a swing trade and then realizing, oh, this is what I should be doing and this is how to actually do it. Um, and so that that was the big motivator to to

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do that and to get that started. So, it's just really interesting how that worked out. And then obviously before we get into your charts now, I'll let you bring up the first one. I just want to pay credit. So, if this series does well, if it takes off, we want to give the credit to you. And that's why we wanted to have you as the first person on because Kyle has been giving back and reviewing charts on YouTube for as long as I remember. Seven must be seven, eight years. So, it only felt right to to do this with you first, this new series. >> Perfect. Yeah. Happy to be here. So, >> all right.

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It's all I'll dive into a few of my maybe favorite and least favorite trades um of the month. Um the first one I wanted to mention um was Tesla um in the this was earlier in the month is actually in the form of TSLL. Um so we'll look at Tesla's chart, but TSL was the actual vehicle I chose. Um, and I think a lot of people who swing trade are are or were watching this chart. Um, because it was one of those things where all of really, you know, July, August, and then beginning of September, I Tesla would kind of break out over previous highs and then just die, but then make a higher higher

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low and then try it again and then just die. And so every single time I gave this a try, and I think we talked about this in in uh in August recap and the September recap, but eventually I I kept having conviction like one of these new highs is not going to be a fake out. Like it's going to go eventually. Um and so that's when it finally did. So I bought this on um September 11th here when it finally kind of broke out. Well, actually, I shouldn't say that. I think I added to it. I remember buying one of these wicks. I actually bought like the top of one of these days. I I

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thought it was going to be that breakout over this previous high. Again, failed again. But the trend change was that instead of pulling all the way back down to say maybe this trend line on the higher lows. Um it held very well over these next like two or three days. And so then finally it went I believe I added uh and then we we were off to the races. And so in terms of TSL, I chose TSL because it's a 2x leverage ETF of Tesla. So just double the move. Um, and so pretty much from like the 14s or high 13s and then I trimmed some I believe around either the 16s or the 19s

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here. Maybe a little both cuz then it gapped up. Uh, I think Elon was buying shares. He had a file that he bought some shares and then the matter of the rest of it just swinging or trimming it or not trimming it, trailing it against the moving averages. So once we closed below the 10 uh is when I stopped out. Um, now on this day on the 25th of September, technically TSLL closed below the 10, but again, I'm watching and following Tesla and Tesla um, held above it, just barely, like a couple pennies if not closed like right at it. So, I I stuck with it. Uh, but it didn't close below the 10 until

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October 3rd, um, right here. So, that's when I finally sold the rest of my TSL. Uh, locked in like 70K or so in profit there. So, that was a good start to October, you know, from September's work, let's call it, um, to lock that in. So, that was the first one that was nice from a swing trading perspective. Um, I actually stopped out today on it. Um, I don't know what too many do, but I longed it again, but then stopped out today because now it's it's just dead. It's not really not dead, but it's just not as strong as it it once was. Um, so that'll be a future play. Maybe it tries again

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in the future. But that's the first swing trade. >> Sorry. Can I just ask you one question? Can I ask you one question that I think a lot of people are going to want the answer to from a guy who's made a million like Tesla down in the area that it was? I can understand that you can you can see the upside, you can see it's trying to break out. But at a time like this where there's there's kind of a lot of fear about the markets and is AI propping everything up and how isn't Spy making new highs and is the middle class hating but the but the market's being propped up by these

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AIs? I mean, what is do you have any thoughts on the overall markets? Because as a swing trader, you really must be watching for an incoming crush. crush. crush. Yeah, I I watch the cues closely. Um I'm not I'm not particularly worried about that idea. Like I I get it looms. Like I I I've the more I've swed, the more I've learned the saying like that the indexes just follow the wall of worry. You know, it's like we go higher, but every day we go higher. There's always some kind of thing to worry about, right? like when does it end or what if this bad news comes out? And so maybe maybe we're due for

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for a bigger recession or pullback period. But until then, then, then, I would hate put it this way. I would much rather put on risk trades and stop out in the name of a recession or a pullback happening than trying to anticipate that recession or pullback and then it not happen for six more months a year later. and I never bought those swing trades or those trades leading to it. So, you know, if the NASDAQ goes another 50% higher over three years and then finally the AI bubble pops or then finally, you know, something happens, you know, of course the people who are screaming bubble at the top of their lungs will be like, "Yeah,

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I'm finally right." But a saying I like a saying that I I recently learned I really like is like bears sound smart, bulls make money, right? Um, now you don't want to be just a blind bull and just don't have a stop- losses. still take the trades with risk management, but you know, trying to guess when that party is over, I think is a activity that won't really make you money. And if you're actually take and if you're putting your money where your mouth is and shorting it, you're probably losing money until you're finally right. And who knows when that is versus just not stop fighting the trend and and joining the trend being on

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the long side with risk management so you don't get caught off guard if it does end, right? That party ends and then just, you know, take the trades when you see them. Um because I know what you mean. I definitely am worried of like is this over? Is the party over? Like when we pulled back any one of these pullbacks I'm like, you know, it's been fun. Um but we just, you know, we keep finding bases and we keep making new highs and keep going forward. So, um you got to just ride with it as it comes. Bye-bye. comes. Bye-bye. comes. Bye-bye. Um so yeah, that was the first swing trade. The first day trade

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I wanted to go over because this is one of my more favorite ones because I'm really happy with how I traded this. I don't think I could have traded this any better uh in terms of just having the right idea around it. Um Buru here, one of the crappier, you know, there's there's a bunch of crappy small cap stocks, but when we look at like when you see a daily chart like this where it is just constantly bleeding, there's never a period of uptrending anywhere here. Um every spike, every gap is just, you know, gets obliterated. Um and so starting October, we had a really good run. we go from, you know, 13 cents all

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the way as high as 84. Um, now a lot of the or a type of red day that I always share or talk about sometimes is like it's not a red day, but it's going to be a green candle or it's going to be a red candle, but a green day as like a sign of a potential top. And so that's kind of what I saw coming in on this day where we ran from, you know, a kind of a blowoff a green candle from 30 cents to 50 cents and then we gab up another, you know, 20 cents a share. we pretty much double this candle's range just in a gap up, right? Or

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or do it again. We don't double it, but we literally just do it all over again, just the gap up price. And so, knowing how crappy the tickers, knowing how dilutive they are, and um you know, how pretty much set up for failure they eventually are when the run stops, um I was bearish kind of going into uh today. And so, I show you the intraday chart. Um this is one here. Let's open this up. How do I open in browser? There we go. Um, and so this was the intraday. So I actually got short right out the open thinking it was just going to crap itself. Um, that was wrong. So I immediately cut

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it uh for a small loss. Actually cut half then uh cut the rest over 76ish. I think that was pre-market highs. I should have screenshotted. Maybe we go back into it. Can I go back far enough to see what level it was? There was some extra level I wanted to risk. Uh, and so I eventually just ended up cutting it. Oh, pull that out. No. Come on. Keep loading for me. We're still going. Come on. Come on. Come on. So, what what day was this? >> This was uh I don't want to go to the daily chart now, but this was October what looks like 8th. October 8th into the 9th. Yeah. Here we go.

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Yeah. pre-market highs here was like 77 76ish and so I cut the rest going up into that level and then parabolics or not parabolics but really strong spike into 85 and at this moment I'm thinking okay the next possible level that I could remotely think of failing would be like a dollar right so there was a world where if this went into the 90s I might just take a small stab risking a buck thinking it fails around that area uh and then it just fails out of nowhere right just immediately down I'm like okay it might not actually get even get to a dollar Um, and so then I thought like if we can't go

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over that high, it's like I'm lowering and and downgrading my expectations of like this if this can't even get to a buck, you know, yeah, I was early out the open, but if it can't get then get can't even get over these highs, you know, again, we're up from 10 cents like a week ago. Um, and so I I just envision like this is going to roll over. Uh, and so that's exactly what happened, right? we kind of put in these higher highs and then eventually we make that new that first lower low and then it starts collapsing. Um so if we go into that that actual trades of them, right? Um you know I

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started to re-shorting a little bit like when I when I mentioned I you know this can't even get to a buck and if it doesn't get to a buck then it's not going to get over these highs and if the highs are in that's kind of when I take these first two candles here thinking like let's let's uh let's get short. Let's get a feeler in there. Uh and then I shorted some more thinking a new lower low was coming. It needed one more bounce and then finally it did a lower low. Uh and so then I covered on the flush towards sub60. Um because I think red green at the m at the time

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was what uh if we go one more day over, right? It was down here at like what was it like 4550. So quite a big pullback to have to where I I just didn't think it was going to pull all the way back to that level. U because a lot of times when they gap up so much and they sell off so much, it doesn't always go red. that they actually might find support before it goes red and then bounce. I did I did not want to get caught in a bounce. So that's why I did cover all of it here um you know into this pull. But then when I thought was thinking like

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if it can bounce I want to reshort for it to go overnight especially if it can close weak and then have still you know fail resistance at the highs. Uh and so I'm really happy with this bounce because then it allowed me to reshort it. And I really like I kind of wish in hindsight I added at more towards 75 cuz it doesn't it doesn't shock me that the 75 bounce high here um failed you know all of this was which once was support for you know 15 20 minutes um it doesn't shock me that it failed right at the lows like these highs were these lows um and so then it rolled into the

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close and then I swung it overnight and then the next day if we just drag it over here right we gap down right we open so we closed what we closed at like 60 something and change 66 cent 68 8 cent 67 uh we open up down here at 55 so quite a big gap down and then we flushed to 45 uh and I covered I think I covered the rest I don't remember if I covered it all or I yeah here's my trades to pull that up >> cover the rest of that night >> because some people might be some people might be thinking oh my god it's a stock under a dollar it's

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it's 70 cents it can go to $70 you know how people think about micro about micro about micro >> caps. Is it too dangerous to swing that? But is it is it like a momentum thing that you just think and so many people are underwater it's not got much chance of of of >> Yeah, I mean it it totally is a risk like having that fear is is perfectly justified and honestly you should have like if you don't then you're not aware of the risks right um so it is good to think that the couple aspects or keys where I get comfortable is if one I've already locked in profits so like I've already have

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a cushion good that means worst case like or lower or not the worst case but a worst case it gaps up, I take a big loss, but I've locked in some. It cushions the blow. That's number one. Um, two would be if it's already confirming price action for me that now I'm not only do I have a cushion, but then I also I'm already up on the position. So, being short like I did, um, you know, the trades there from, you know, I reshorted with like a probably a 69 average, 70 average or so, you know, being up by the close at 64 cents and then fading in after hours, I believe, by the end

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of 62 cents. It's like, okay, I'm now up, you know, at least 10% of my position. It's already fading in after hours, kind of um giving you glimpses of a possible gap down. That would be enough for me to say, hey, I've gotten everything I could possibly do to catch this gap down. Um giving me the green light, say, "Okay, let's swing it." Um vice versa, you can probably tell the flip opposite of that. It's like, okay, I already am red on the ticker. It's not fading. I'm actually down on my position. instead of instead of fading it after hours, it's actually uptrending looking like it's going to make higher highs. It's like that kind

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of gives me enough too much indication like, hey, this might gap up and I need to be careful, right? The only thing you can't control, which is true for both longs and shorts, is if like news comes out that is good or positive and either crushes the stock or spikes it up huge. You know, that's just the the the the fat tail risk of swing or taking something overnight. Uh, no matter who you are and it's up to you whether you want to take that risk, right? I have, you know, more times than not are okay with it. Um, but some people don't swing at all or take anything overnight for that reason, and that's

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totally fine. Um, it's just when I get everything in my in my um what's it called? When I get everything in my favor like I did on Buru, it's it's hard for me not to take it because it's almost like I'm willing to take the risk of possibly taking a bad loss of a gaps up over the pain of missing a gap down. Like I have I have, and maybe that's just my FOMO speaking, but I have I have hated it too many times where like I almost I'm I'm not certain, but I'm super convicted it's going to gap down, but I don't want to take it because of the risks, right? Or because I

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just don't want to take that risk overnight and then it does gap down and it because it gapped down like Buru did here. There's no way I would have reshorted this. You know what I mean? Like knowing I should have had a 60some or 70 average and then reshorting it at 53 like that that's my profit right there. That's the difference. That's not the that's not my new entry, you know? I'm covering here, not entering here. Um, and that really tilts me like in terms of, you know, not money risk, but like your emotional being risk. Like nothing tilts me more than trying to get short on a gap down where I feel like I

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should have been profiting and not entering. Um, so any rambling on, but that's kind of where my brain is at when I think about these things. >> No, it makes makes complete sense. Uh, it makes complete sense. And are you waking up a little bit early the following day just just in case? Is that a six o'clock wake up or >> That's true. Yeah. So I I I will admit I won't wake up and stay up the whole time. But if I wake up and in the first hour like everything seemed normal. It's not just rocketing out of nowhere. It's actually still by this time, you know, Buru was actually after the spike it was

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still fading, right? And it's actually, you know, confirming more of a gap down. Uh or sorry, it wasn't here. It was here, right? So a small spike and then it's even fading lower. Like at that point, you know, I'm I'll go back to sleep. So yeah, it's like yeah, I'll check on it, but if we are even more confirming, then then I will be willing to to sleep through a little bit of this chop here. So >> make money in your sleep. >> I try. We try. So um but yeah, so this was a good first red day and you look at the daily chart, it's like it just a was a beautiful gap down

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and washed further. Um locked in like 50k or so on that one. And that's between both. That's between, you know, locking in on this portion and then taking over right and then locking in again. So, kind of two trades in one, but the same general thesis and idea. Um, so 50k there. Um, the next one is also a swing. I think it was my better swing of the month. Let me pull up Trading View so you can see it there. Um, iron. So, iron is in the uh the data center sector. And so, we kind of talk about Tesla with robotics and AI, right? Um, a big driver for the AI theme is like they

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need data centers, right? They need data centers to actually have the AI work and and and do the computing, right? And they're gonna there's a lot of demand for it. And I is one of those data center companies. Um, now I actually missed the first part of this move. I remember being long, right? I think one of these days um only to get stopped out and shaken out on this pullback in in like m middle of August. um and then didn't reby. So I I you know I got stopped out in like the 19s 20 area, watch it then run to 23 and I'm like oh I missed it. Like that sucks. Then they post

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earnings and then gap up another you know three or $4 a share. Now I'm pissed. I'm like damn it. This is actually a swing that's working. Um you know I'm going to miss this thing and now I have massive FOMO. Um, one of those scenarios where like just staying patient and not chasing actually kind of helped me because it spiked, it came back down and all I could notice was that over these three days, even though it kind of sold under it, it kept holding the earnings day high or day low, right? The low of this day was what, 2648. what, 2648. what, 2648. And so it didn't hold 26 perfectly, but it continued to

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try to sell off and just couldn't, right? And even on this last day here on the 8th of September, I tried again, couldn't. And this is on the the this yellow line is the 10 SMA, which is a big moving average I like to look at and use. Uh, and it was the first time tapping that SMA and then immediately rejecting and bouncing right off of it since it, you know, it it ran since since I missed the run. That's the first time it tapped the 10 and just it was like allergic. I mean, immediately bounces off, wants nothing to do with it. And so I thought to myself, it may be a low odds

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idea, but riskreward-wise getting long in the 26s and only having to risk like a dollar a share lower given that it's built some really good support here over the last week, I was like in a hot sector in in a company that just put posted massive earnings like they increased their earnings by 270%, right? Um I was like it's it's worth the shot, right? Uh and so I bought some on this day and the next day gapped up and then it ran more and it kept going. I think I trimmed some. My first trim was at like 33. Um and then we got started getting more parabolic into like the 50s or the 40s. So

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I trimmed some more at like 48. Um still holding the 10 the entire way. Um finally we get a little bit crazier. I don't remember selling any up here because at some point I have to stop selling and just trust the entirety of of the moving averages. Um and then finally on this day it closed below it at like 60 bucks a share. Uh and I sold the rest there. So I locked in how much was that total? um 138,000 on that swing. Um and I really didn't even have that big a position. Like I take and this is my number more maybe further confirmation of what we talked about with the MSTR win of

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like sometimes just letting it work and having able to ride it from you know 26 to nearly 70. Like I didn't really have that big of a dollar position than than some day trades I take. But because it's just like you just have the patience to ride a you know 150% move um almost 200% move. I mean it was approaching 75 uh which would have been 200% for me or close to it. Like it it was just you know I can't pull out 100k gains on a daily basis with day trading but uh when the swings work and they really work like 100k profit is like almost nothing's guaranteed but it's like if they work

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the swing trades work for me it enters that realm fairly quickly. Um which is which is cool. And so that was a big contributor um you know to to the profits of this month was was this the gain. It's such a fantastic trade example. Um like can I just ask what put iron on your radio on your radar for the first time because it's not a top. It's not like oh it's up 60%. How how is it looking? looking? looking? >> Yeah. Um so some of the the scans that I like and this is this is the scans from Koolagi. Um he'll like to scan for stocks up 30% over either over one month, three

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month or six months. And I actually have them right here. Right. So Trading View allows me to like make those scans over a certain time frame. Um I have to change them though. They're all they all it all thinks I'm the same scan. And so I have to change this from like 30 over 3 months to 6 months if I do like a right like 6 months here. Um but it'll give me kind of more higher or higher valued stocks in the midcap and large cap space that are be that have been up at least 30% in the last 6 months or 3 months or one month. And from there, that then gives me the

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charts to go through and say, "Hey, if they start either if they're a in a hot sector, they have good news or at the right place, right time, um, or just technically look good." Like the what first caught my eye on iron was that it had this massive move from 10 to nearly 20. So, I wasn't even a part of this move. I didn't see iron until it made this move. And then I realized, oh, it's in the data center sector. That's a hot sector. Um, it's technically holding up. Um, it also looks good when you see it actually respect moving averages. Like cuz some stocks can go up and not give a crap about

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what moving averages hold and don't hold. But when I was like clearly holding this 10 SMA so well after already running 100%, right, it let me know that hey, if there's if this is ever going to trend again, like it's got good characteristics to do so. Um, or at least good history of the characteristics to do so. Um, and so that is all I really needed to just keep watching it. And the moment I kind of see like it breaking out or making new highs or or again sometimes a little bit different where I miss the highs but I I see a new support level forming um on the moving average that it already respects

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first a risk word is tight. Sometimes it's just like there's no there's no perfect entry but it's like if you can just get a good risk word spot in a trend that you have confidence is going to continue you know that's kind of what leads some of these winners. So um that was the case for iron and how I kind of came across this one. one. one. >> Yeah I love it. I just the fact that it's for everyone. This is a trade for everyone, not just the day traders who who quit the jobs. This is for someone who's going to work every day. >> Yes, totally 100%. Um, so then the other couple trades

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I wanted to talk about um was obviously the the biggest one I think most people are probably >> have traded or looking into it or >> Yeah, BY and D just the the biggest boy of the month. Um, good and bad about this one. Um, definitely walked away green. definitely improved from previous runners of this magnitude because you know the biggest one I can remember is FFIE or now FFAI where I took my biggest loss of my career just being overly aggressive way too soon on something that moves you know 10,000%. Um BYD wasn't that big of a percent gain but it was I think it was big in magnitude of like the volume was

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massive, the hype was massive. It was Wall Street bets just like FFI or FFI at the time. Like it had so many similar characteristics. Um, and so I treated this one much much better, but I definitely was got chopped up on the front side, just being too too eager, too early. Um, thankfully, you know, learned my lesson from FIU, so I I stayed within the the realms of of safe. Um, which allowed me to be there for the backside. Um, but just massive, massive move, you know, from 60 cents to seven bucks, seven and change over really three days. Um, and where it started for me was was getting chopped up on this day. um

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similar well at the time again we're speaking hindsight so it's easy for me to say I knew this you know this was going to be some massive runner right but when it gapped up so we go from you know 60 cents and then a run to a buck 50 and then we gap up to 230 at this point in time I'm thinking this a similar thing to the Buru thesis right like it's like this just ran massively it's already then it's gapping up even more it's like what are the odds this gap holds itself and and can't keep going higher uh and so I kind of start getting short out the open here uh on

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on the the 21st of October. Uh let me pull up the the trades here. Um where is Yeah, here it is. Um and it's so funny because it ran so much further, right? But at the time in the morning, you know, this is me getting short in the in the morning, right? And it actually worked. Like my idea was like, I'm going to get short like 230s, 220s. I think this can sell off sub two. But unlike Buru, I didn't cover it sub two. I was getting a little bit greedy, a little bit overconfident, thinking like, okay, sub two is the minimum, but let's see like 170, 180, 160s. Um, and it just that just

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wasn't the case, right? Like again, going into the intraday of the actual the whole thing. Um, you know, it tapped like 193 or whatever it was, right? Let me zoom in. All right. Where's the low? Yeah, like Yeah, 183. And just that was the rest. That's all you ever got. So, here I am, you know, being thinking of being aggressive and I cover nothing. Uh, and so I cover some and then I realize, no, you know, I should probably risk some off the highs. I don't really know. Let me try to be fancy and reshort some more. Uh, so re-short, cover that, try again, cover that. And so, before you know it, I'm I'm down.

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I lost more than I really want to. I only really wanted to lose like 20 25Kish on this trade, but by the time I cut I cut it all, you know, here over high days as it's making new highs, I'm down like 40 50 grand. So, not the end of the world, still within the means of my risk management um on the higher end, but like not what I really wanted to lose. So, that was annoying. Where it gets a little bit worse, but also in a different sector or where things get kind of tough is like, okay, I lost, let's call it 45 grand shorting this thing when I thought it was going to

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be like a gap and crap kind of idea. But now it's going parabolic. So, even though this is going to all all come under the same trade from a broker statement, right? I have to mentally view it separately of like it's no longer a gap and crap idea. It's now a parabolic short. So, it's very tough to do and it it looks worse when you lose like I did in this case. Um but it's like to me there was at least two different setups here. Unfortunately, both ended up being losers, [laughter] right? So, it ended up being worse than poss or worse than it should have been. But, um you know, I start trading get

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parabolic, get short here, cover that. A lot of chop here. Um don't really get much done. and end up losing uh another maybe 20 30 grand, then it goes parabolic for real, like the real parabolic and after hours. Uh and this one I felt really good about and I and I actually in terms of the arrows and how it worked out, I nailed it. Um to the point where if I had actually covered it all down here at the 330s, I remember covering like 60 or 70% of it. Um I didn't I left some piece because I thought it might go sub three, it might just get really ugly. So that was the greed in

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me thinking it could go lower and it didn't. Um and so if I but in you know in hindsight knowing the numbers just the rough math in my head had I actually covered it all there I actually would have made the entire day's loss back. So was close to you know saving myself didn't um but then I thought to myself okay that's got to be that's got to be it like that that death from you know nearly five to three like this is that's the backside. The backside's going to begin. I was wrong. Uh it bounces so I reshort the bounce thinking it's backside. It comes all the way back to the highs and I'm

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like, "Holy crap." Like, you know, back to the Buru example where I'm talking about where holding something short overnight should be a I should have a profit locked in. It should be fading in my favor. I should already be in a profit on the trade. It shouldn't be looking to hold highs and making new lows. Like everything about Buru was like, I should probably hold this overnight. It's worth the risk for me. BND here, the total opposite. I'm red on the ticker. I barely made my gains back, but I'm reshorting now, giving back those gains to be red on the ticker again. Uh, it's not making new lower lows. I'm now down on the short

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when it, you know, after these ads on this bounce, I'm now, you know, back over when it goes back over like 450. I'm now down on the position. Um, and it's just not fading, right? So, by the close, I cover it. I'm like, there's no way I can risk this overnight. It is doing everything under the sun that I do not want it to do. Um, so I cut it. So a total between you know the whole you know morning and night um I lost about in total like 64 grandish in total. So pretty much between so 40 or so of it was here and then between losing it and then making it back and

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then losing some more another like 24 there or so or another 20. So in this 60k loss range. Um which for a single trade would be a lot. It would be like a plus risk if it was just one trade. But like it's kind of why I mentioned it was kind of two setups in one that just unfortunately I took at the same broker on the same ticker. So naturally it's going to be combined into one from a from a tracking standpoint. So I'm not too upset with it. Um it's just how it all played out and had I just been a little bit smarter with not being so aggressive here and actually then not

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being so greedy here. Um it could have been massively different. But the cool part is and the great part about it about about me cutting it is it did get better, right? it did then go on to actually gap up and go higher um to the point where it now the opportunity is only getting better and then again it just comes down to how well can I manage my risk um can I pull that there we go right so covered it there immediately gaps up plus five plus so again for people who like are worried about the risks of holding overnight like that's the risk of overnight that's why you need to you know actually

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know whether it's worth the risk or not and no part of BY and D was worth it um and then it goes parabolic to nearly nine Now, I was asleep here, right? I I I wanted a good night's rest. You know, the day prior was super exhausting. If I could go in hindsight, I totally would have woken up because being there for this parabolic would have been awesome. But again, it's easy to say in hindsight, oh, I would have shorted it, you know, 8:50 and time the top perfectly. Like, I have no idea if I would have tried here first and then got stopped out and then tried again and it would have worked. But

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is I didn't wake up until pretty much like 8:30 Eastern here. Um, and so in terms of then showing the trade for the next day, let me pull it up right on here. Um, I start getting short in pre-market into this push. Um, kind of thinking this is going to be resistance from the from the big parabolic in pre-market. Um, that was right, but I covered it pretty early. Unfortunately, I only locked in, you know, I took it from, you know, 720 only down to like 680. So, I really didn't overstay my welcome there, and I should have because by the open, it's flushing and it's going lower. I'm out the open. Now, where this

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gets me twisted a little bit, um, is I kept thinking like it's like I had to do what I did yesterday all over again. And this one was a little bit better in the sense that it tricked it kind of tricked me where instead of just kind of failing and fading like it did in the day prior and make me think like, oh, I'm immediately right only for it to come back. It gave me enough confidence to keep trying, but not enough to die, right? So, it pulls, it spikes higher, can't even make barely new highs on the day, right? Or it almost double tops it, then fails again pretty hard, then comes up and

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makes a lower high, then goes again. So, we're kind of like making this wedge here. And again, I'm so bearish at this point that like I'm not really acknowledging the wedge. I'm just thinking like this is going to die. Unfortunately, it doesn't. It just gets one more gust of of strength and this stops me out again. Um, looking at the chart there, right? So, I stop out a little bit over there. I then stop out at the my like max not max stop, but my last level of of kind of area that it should fade, right? I was kind of using now this last market top or pre-market high. So, when it went over there,

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I cut it. That was this arrow right here. um you know cutting it there and so at this point I am down like 60 plusk right this was like the A+ trade that I will was willing to take and I was willing to be down um I actually think it was down like 80k like with some slippage after giving it a few tries you can see here uh it wasn't just like one cover I had like one small cover there another cover there um so not down more than I willing to like I think my max stop is is around 100 so I was getting close um before I gave up the towel but it.

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So, it sucked. I was like, h like, damn it. [laughter] You know, we're not down, but we're pretty beaten up at this point. Um, and unfortunately for me, I just knew in my brain of like, if this is going to die, die, die, like I I can't not be there, but I need to be more precise. This is when I was able to kind of reset and think to myself like, "Okay, Kyle, you were just like blindly too strong and too aggressive again. Like, let's take a deep breath and reset." And I'm really glad I did that. Um because instead of just starting in max size, like again, if we look at the arrows, you

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can clearly see like I'm not wasting any time getting short. Like I'm just immediately like bam bam bam like massive size and then just wrong. Um once I reset, I say let's go. Let's just ease into it. So you actually do see me immediately reshort about 3 or 4 minutes later. And this was like a 5% position of what I had. So like literally nothing. This was me just to get my feet wet to reset and just like, okay, let's just have a position but be more, you know, less aggressive, less erratic about it, less sporadic. Um, and then it just came in the fact that now it was fading, right? It wasn't having these

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like big pulls and then big drop, big spikes and, you know, huge wins higher. It was like trying and then failed and then trying and then failed and then trying and then failed, which is like different than what we had. Um, and then something I really noticed was that once we kind of broke this this little like I don't want to call it a trend line cuz I don't really draw trend lines in the intraday, but we had this higher high, higher high, higher high and then this higher high kind of perfectly like if I could draw a line, you know, it looks right perfectly with that and then we rolled over and then that

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was like, okay, like this this probably is it, you know. Um, and again, you don't know for sure, but in terms of like breaking trend back below VWAP now, um, all you needed is one more lower low in my opinion to then break these lows and then now you get your confirmation. Uh, and so that's kind of what happened where once we broke up, I then added a little bit more into that bounce and then right, you know, seconds later is when that flush started happening. Um, so like as the trade went on, I just had more kind of confirmation as price action kind of started fulfilling what I was thinking. um or I was

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getting confirmation from what I was thinking immediately being right. Uh and then the flush happened, right? So then I'm covering um some, you know, at five uh some at 450, some at four. Um I'm thinking of covering into red green because I just don't think it it goes straight down right away. Um kind of back to what we talked about with Buru, like at some point it it could sell off so much that actually a red green could be support and not resistance um or like more failure. And so then it bounced. Uh I was really really really hoping for a move or balance five plus to kind of get short again where these lows

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were. So like 550 you know five or in that range. Um but unfortunately just couldn't and in fact started looking super weak. We started making again another lower high after uh almost another trend break like again I I didn't even see this at the time but like you see another like you know low lower low and then it just can't it can't keep that trend going the bounce going. So then another leg comes lower. So, I do reshort smaller size quickly on that break and then cover it immediately quick more quickly because I just don't think it's going to have another $3 a share flush from, you know, seven to four. Um, so I'm covering

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it. I'm shorting at four. I'm covering it like immediately at three, you know, 290 and then I think I cover the rest like 280. Um, and then yeah, bounces and it goes even lower. I mean, I didn't I didn't take part in this short unfortunately. Um, but just I mean, the fading never ended practically. It it barely made new lows by a few cents, but then uh that was that. So between you know lost like what was it 60 something K the day before lost then another close to 80 on the front side but after all said and done uh by the red day I think it was up 150 or so uh somewhere around

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there u because I also dip bought um these these arrows don't show up but I dip bought in a different account um this one and this one didn't make much on this one cuz again the bounce didn't work but then I do remember re-bying some at like 280 290ish and then sold that in the in the high 3s Um, so that helped out, but that wasn't really the bulk of it. Obviously, the the short was the massive bulk of it. Um, so yeah, sorry I've been going a long time there, but that was the the massive momentous runner of the month. Uh, which is crazy. And even now, right, it's back at, you know, a

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dollar$1 dollar$1 dollar60. Uh, which is crazy. So, I wanted to ask you, I mean, two two questions. I mean, the first one would be um and and then we can kind of wrap up because I'm going to have to change the name of the show to the 45minute recap. >> Sorry. Yeah, we're going a long time. >> No, like people people will be screaming at the television. Don't cut them off. Don't cut them off. I'm learning. Don't damn I learned before. But um two two questions really is one would you change anything about that trade in hindsight? Have you learned anything from that trade or is that just the game of trading? >> Um no.

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So I def I mean well yes yes yes and no. It's the game of trading. It's the game of trading in the sense that you know you're never going to be perfect. So even if you had the right plan um there are still going to be times where you're going to screw up and you have to make that mental reset like mid trade or midday like like I did at the top here where it's like you got to get your crap together or you're you're going to you're going to screw this up more than you already have. Um you know so because as a discretionary trader you're just going to make those mistakes. So yes,

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it's a part of trading, but if I could go back and really really really cement what I think would have worked, cuz to put to perspective, part of context too was like I was shorting this here, this this first starter in the 720s, thinking that the ultimate high is going to be this 880s. Like it's not going to go over these highs. Like that's the game plan thesis. I could have been dead wrong, but I was like, if there's any high odds play here, it's not going to go over these highs. Like that's the highest odds odds play here. And so I was telling myself into the open like you need to be positioning yourself

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to use this as risk until you get better confirmation, right? Um because I thought in my mind like if it's going to try to spike, it could spike again 7 plus. I remember telling myself pre-market that unfortunately when it died more than I thought by a market open, that's when I just started getting screwed up. I was like crap, this is weaker than I thought. I didn't think it would go sub six this quickly yet. And like that whole that whole, you know, plan from wanting to use these this as resistance as a as a game plan turned into screw that, let's just get short wherever we can and hope it dies, right? Like one

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trend is one trade plan is very thought out. The other is just like crap, having FOMO, need to get short, right? Very different. Um, and so that's what kind of screwed me up and that's kind of what helped me then reset and then get short immediately after because then I realized I was like, wait a minute, if I wasn't so FOMO based or so wanting to get short aggressively with with with no real great plan here and I actually waited for this spike. This was the spike I wanted, right? This was the spike that I told myself to wait for because this is this is great getting short a seven plus risking off eight, you

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know, or the mid8s or any one of these resistance levels from pre-market. like that's that's the spot. Um now whether it was going to fade after spiking was another question, but at least you were patient and let the you let the entry come to you versus you you go chasing the entry right here. I was chasing the entry versus letting it spike to you where the original plan was like, yeah, get short a strength and then use this as risk level. Like that's letting it come to you and then you're, you know, you're not in control. The trade can do whatever it wants, but emotionally you're in control. like you're you're you're in control of

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your own trade plan and what you expected and what you're willing to wait for versus just FOMOing in because I thought I was going to die weaker than it should have, you know, only to be proven wrong, but then right on the original idea where I had to reset myself. So, if I can go back in time, I would have, you know, obviously it's perfectly said and it's it can't be that perfect to not touch it at all here and then touch it here. But getting too aggressive here and then not being aggressive enough here is what I would have switched because I would have loved to have only taken small losses here but then

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really use this as the entry that I originally wanted. It would have been a much bigger bigger trade to be just from a risk perspective and just a more size and a higher average. You know, waiting for this would have been would have been that spot for sure. >> Uh makes sense. And and I guess the last pressing from me before I ask you who'd like to nominate to do this next would be um I guess the swings that I've Oh no, you've swam short as well with because like this this company is massively in debt. Um it actually restructured its debt for shares which was a super super bearish catalyst to make the stock

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go down to where it is now. And it's also got huge potential dilution in the form of ATMs. Y >> So was the reason why you didn't swing it? it? it? Um, oh, over the first red day. So, I It's funny. Um, yes, there was. And in fact, because I because I screwed up, not screwed up, but because I didn't make as much on the short as I thought of, like obviously I'm was very happy to have made back my losses and then and then be well green on it. But then I looked at how big of the opportunity this was to go from again 9 to three in a single day. I was like,

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"Wow, Kyle, like this should have been, you know, this should have really been big." And so my brain started thinking like, "Well, what are the bounces again? like what if we get another bounce to like four or five like what if we finally get a a bounce later in the day or or the next day. Um so I started getting bullish like I wasn't necessarily going to long it overnight for a gap. I originally did think it could but when it started fading so heavily to new lows I was like no this isn't going to work but I was kind of not bullish but I I kind of wanted a bounce you know I wanted

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a redo so to speak. Um, so I didn't really intend on gapping it down or taking short to swing it because I I kind of was hoping for a move higher. And something similar to FFAI, you know, when when a ticker does sell off way too harshly, sometimes they do actually gap up. Um, like FFAI, you know, going from this was this was pre-split by the time it went from four bucks to a dollar. And so some people think because it was so weak, oh, it's got to go lower. But sometimes it catches people off guard and actually is due for a bounce overnight because this then gapped up from a dollar to like two

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bucks or like two and a half bucks at the time or something around there. Uh and then it faded again. So I was kind of thinking like, hey, if there's a world I get a redo, it might be, you know, on a on a gap up. It might be like a surprise gap up to like 450, you know, was kind of like my hopes and guess. Um so that is why that is why I did not swing it. Um, but honestly, even if I did, I it didn't actually go lower than the day's low. So, it would have been a gain, but it would have been kind of confusing of like thinking it should go

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lower than not, but then trying to bounce, but failing. So, it was kind of an awkward inside day before it then eventually, you know, broke down and stuff. So, makes sense. Uh, Kyle, we've gone a little bit over than I've requested of your time, but you've No, no, it's not. It's you've give great great value. I think it's an excellent excellent first uh first episode of a new series. Um, do you have anyone that you'd like to to nominate to uh be the next person, the next trader from Kinfo that uh does this 30 minute uh monthly recap next month? month? month? >> The um the obviously I think the next best guy who reviews

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and has a killer month is Laptop Legend. Um I also think someone who's on the Kinfo leaderboard that's really good, a really good educator. Uh Edu trades Eduardo. I think he would be good. Um so I'd love to see their episodes and see how they do. um and and watch them review their trades. >> Awesome. I will try my best. I believe we can get Edu or Laptop Legend to review in November. But Kale, thank you so much. Thank you so much for your transparency. Thank you for coming on, being a part of Kin for you're one of the best uh advocates of the trading community that we have. >> Appreciate it. Thanks for having

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me on. >> Thank you.

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Multi-Millionaire 23-year-old Swing Trader REVEALS His Strategy

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📅 Uploaded: 2026-04-23

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⏱️ Duration: 1:06:48

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👁️ Views: 13,669 (Rank #1 of 1)

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💬 Comments: 70

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📼 Playlist Progress: 2:13:36 of 1:06:48 (200.0%)

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👉 Check Sean Rechtman's performance on Kinfo: https://kinfo.com/portfolio/48147/performance

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👉 Learn more about Sean: https://theoptionscartel.com

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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Sean Rechtman started trading at 17. Like most people, his first couple of years didn’t go well: he lost money, blew accounts, and at one point even questioned if trading actually worked.

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Fast forward a few years... He’s now 23, says he’s made over $2.8 million trading, and has had months where he’s made hundreds of thousands, even in difficult market conditions.

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Instead of chasing trades, he stepped back, studied traders with real track records, and built a simple, repeatable process around momentum and consistency.

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In this episode, we get into:

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- How he scans for leading stocks

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- What a proper momentum setup looks like

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- How he manages trades using partials and EMA-based trailing instead of fixed targets

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- How he times entries using breakouts vs pullbacks to moving averages

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- Why most traders end up focusing on the wrong things

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📖 Chapters:

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00:00 Intro

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02:15 From 17 years old to $2.8M

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05:20 Losing everything early & what changed

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07:00 Learning from top traders & discovering momentum

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09:20 Trading themes, sectors & institutional volume

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13:00 Capital preservation & managing drawdowns

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20:50 Building a system

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31:05 Volume analysis & institutional footprints (Tesla example)

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36:10 UNR strategy explained (undercut & rally entries)

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47:00 Shorting strategy, pivots & biggest trades

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54:30 Biggest trade breakdown ($170k+ idea)

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01:02:00 Mindset, discipline & why simplicity wins

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✔️ Follow kinfo: https://x.com/Kinfo

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✔️ Follow Sean: https://x.com/SRxTrades

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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🔴 Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal #jonk87 #seantrades #stocktrading #swingtrading #tradingstrategy #momentumtrading #priceaction #tradingpsychology #riskmanagement #daytradingtips #stockmarketeducation #finance #investing

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This 23-year-old may be one of the fastest traders to rise to the top [music] spot of Kimfo's leaderboard. Sean has stated profits of $2.8 million, and in his first month on Kimfo, he generated verified profits [music] of $216,000. $216,000. $216,000. >> I never thought I'd be able to get into this position so soon in life. He had no background in finance, no major starting capital, and took no shortcuts. When I started, not a single person believed in me. So, please follow your dreams. They realized most [music] traders are learning the wrong things. I of course I take a look at like the, you know, 13F filings [music] and see, you know, what institutions are buying

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what, but those are delayed, right? Like you're getting that quarter after. So, what I usually look for is [music] volume. >> Today, he reveals the strategy he trades by equities and options, and it's a lot simpler than you might think. A lot of people would buy this breakout [music] right here. I bought the day before on the UNR of the previous day's low. So, you mark out the previous day's [music] low, and then you wait for the stock to break under that low and reclaim it. What that does is it traps [music] sellers at lows, and then it reverses, you know, the other way pretty strongly. And I look [music] for at least uh price

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action to confirm that a reversal is going to be taking place. So, what I like to call this is, you know, 15-minute or a 30-minute pivot. All right, is the market putting in that UNR? And when it is, [music] what I'm looking to do is buy basically the strongest stocks on relative uh on weakness in the market. Basically, made half a million in the last month just just following these strategies. Yeah, just following these strategies. Welcome to Undiscovered Traders. Today, we welcome a brand new Kimfo trader, Sean Trades, who literally verified at the end of February and is already up 470,000 in a month. Uh and keep in mind that is taking into account we've

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had one of the worst markets worst markets worst markets of recent time. Uh so, we're going to get into how he started, his trading strategies, his unique approach to trading the markets, uh and he's going to show us uh how he's basically made some of his top trades and and the the thoughts and strategies behind them. So, welcome, Sean. How are you? Thank you so much for having me. Um I really appreciate everything you guys are doing. Like, there's a lot of garbage out there. Um and the fact that you're able to, you know, verify who's actually being able to make money and things like that on social media and get that actual advice is

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is something that we definitely need in the industry. Yeah, and like when you when you think about it, like whenever whenever anything anything anything whenever anything is new, like for example, I think I remember Tim Sykes was one of the first people to talk about trading stocks and ex- maybe X or Twitter at the time came I don't know when it come about. I think maybe Twitter came about about 20 years ago or something like that. Whenever something's new and completely unregulated, it's just like the total wild wild west. You get all of the crazy scams. No one's verified. Especially recently, I think it's gone it's gone out of hand. >> It's got worse? Yeah,

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totally. 100% in my opinion at least. No, I mean, and it's it's just it's good to have something like Kimfo because everyone like this is a game where there's not really a there's no school for it. There's no university for it. So, you've got to learn from someone on the internet kind of like most people. There's no choice. So, like at least learn from someone who is verified. But um so, look, uh how old are you right now? I'm 23 years old. 23. And how much money have you made in total? Not because you just made 500,000 in a month. So, like what what's your back total? back total? back total? >> over my trading

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career including uh long-term positions, I've made over 2.8 million. million. million. And that's over 7 years of uh total 7 years of trading. And I'm really really looking forward to seeing how you've how you've kind of how you've been trading recently. But 2.3 million 2.3 million and you're 23? Yeah, 2.8 2.8, but yes. >> 2.8? Oh my gosh. 2.8 million. And uh you you told me earlier that you started when you were 17. So, just give me the story of like how how I mean, is your dad is your dad an investment banker or something? How did you get interest? How did you get started? started? started? Yeah, so surprisingly, a lot of people do

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ask me the same question. They're like, uh is your dad in trading or is your family someone that you know? Um but to be completely honest, I think I I started like most people probably that are watching this, just hearing of something where you can make money online by just spending a few hours, you know? And that totally intrigued me. And I realized like there's so many different ways out there to make money, and trading just really intrigued me the fact that you can click a few buttons and, you know, potentially make or lose of course, and that's what most people, you know, don't understand at first. It's very risky and it's not something that's

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easy to do. But when I figured out like, "Wow, there's people out there that are able to make this much, you know, money in a few weeks, in a few months, in a few years," um it totally intrigued me. So, I started when I was 17 in high school. Um I used a custodial account uh with my with my dad, and I started paper trading as well, and I just got a lot of experience from it. But just like everybody, you know, my first 1 to 2 years, I got absolutely destroyed. And to be completely honest with you, I thought it was like I thought trading was a scam at that point because I'd seen

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so many people make money online, but I wasn't able to do it because, you know, I had the wrong habits and I had the wrong expectations going into trading thinking I would have made, you know, millions in my first month when, you know, it's a very hard game. It's a very hard game to master. You can make a lot of money, but the hardest part is actually keep the money that you make. A lot of people can make, you know, thousands of dollars and then lose it all in one trade because you need to have the right discipline, the right tools. So, that's how I kind of got into trading, and since then my journey

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has been, you know, 7 years of uh of doing this, a lot of ups and downs. And when I started to become consistently profitable was about uh 4 years ago. And what I what I'd really like to kind of uncover with you because I've been through my learning curve as well. I mean, I'm I remember I made 100,000 like 4 or 5 years ago, and then I just lost half of it. And then I've just gone on on this whole other curve of learning a bit more about macroeconomics, starting to look at bond markets a bit more, understanding futures a bit more, especially with gold and oil and what's happening now. Trying to relate that

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back to the current market, and all of a sudden, sudden, sudden, like I'm starting to buy a tech a lot more and actually understanding what goes on in between. So, like and now now I'm having the second leg of uh doing better again. But with you, can I just understand like how did you go from nothing to half a million in a month? Like, can you can you kind of break down the learning stages? Is it is there a way to to show that? that? that? Yeah, 100%. So, when I first started out, I got introduced into options. Um that was like the main thing that I was uh trading and looking at. So, um

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what I was mainly doing what my main strategy was was I was trading options on earnings. And I know that sounds absolutely crazy, right? Like as a as a teenager just going into it, like that's what I got introduced to. And to be completely honest with you, I lost everything that I had. So, I used to work summer jobs. I used to have like money saved up to potentially trade, and I would just lose everything over a span of 1 to 2 years because of the fact that I got introduced into it in the wrong way. So, the number one thing that actually helped me get on the right track is I realized, "Okay, this

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is actually possible because there's people that have been able to do it, but I have to start the right way. I have to." And what I did was instead of like looking up to somebody that I just saw on like TikTok or Twitter, I did something that I think most people should do. You should go online and search up, "Who is actually the best trader out there? Verified and actually has like a real story and a real strategy that has an edge in the market." And what I did is I searched up, "Who are the best traders in the world right now?" Because these are the people that I want to learn from. And I

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had like the same mentality as like, "If I'm going to get into basketball, I want to learn from Michael Jordan or LeBron, right? I want to learn from the best basketball players." Or if I want to get into soccer, I want to look up to Messi, Ronaldo, some of the greats. And that's kind of like what transformed my mindset and thinking. And you need to be following this strategy to a T. And I'm a very like if you give me something to do, I'm a very uh kind of disciplined person. If I can find that one thing that works for me, I'll do it no matter what nonstop. And I think that's really what kind

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of set the switch for me after having 2 years of, you know, doing things the complete opposite way, I started to learn from some of these great traders. Um so, like Oliver Kell was one of my biggest inspirations, Quan McGee, Mark Minervini. And Minervini. And Minervini. And I started to learn that they all had one thing in common. And this is something that started to really click in my trading is I realized that they all trade momentum within the market. So, a lot of traders want to beat the markets, you know, every single day. Every single day they want to be green. Every single day they want to make money. But the truth is that's

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not possible, right? But if we can trade with the market, if we can trade with the momentum of the market and what the market is doing, now we have a better chance at producing actual results that can potentially beat the market or at least, you know, at the beginning we want to at least be break even or not losing money until we can finally, you know, flip that corner and potentially beat the market. So, when I started to trade with momentum, I had a lot more success, and I started to, you know, pick up on some good names that were coming out of big bases, and trading, you know, themes was one thing that it

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like it exploded my trading, just understanding the themes in the matter in the market and the fact that there's like, you know, a thematic trend. For example, we've had, you know, the auto auto artificial intelligence boom over the last 2 to 3 years, but there's so many different moving parts within that trade. There's, you know, memory stocks, there's photonics, there is semiconductors, and there's the uh you know, data centers, and there's so many different things within that theme that you can really break it down and figure out, "Okay, where are the big institutions, you know, moving their money around to? What is the sector and the theme that they are buying?" And I want to

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be involved in that trade. So, I started really looking into kind of volume analysis and figuring out, "Okay, where are institutions buying? I want to be looking to get into a trade that an institution is in and kind of follow that trend." So, of course, you know, it wasn't all sunshine and rainbows when I started to do this. Um I did blow my account multiple times again, even when I discovered, you know, uh momentum swing trading, but I started to kind of have that like switch flipped in me where I realized like this is what I need to be doing. And now the biggest challenge came to what you exactly what you were saying. So,

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I was able to make money, and I'll give you some context. In 2021, I was able to flip like a $100 uh account into over $30,000. And obviously, that's like an insane feat, right? But I lost over 80% of that when the market entered a bear market in 2022. Um if you remember like, you know, we had Russia-Ukraine, oil prices were very high, very similar kind of market I'd say like dynamic to what we have right now with, you know, rising oil prices, inflation was pretty high as well. I was I was reading about it earlier actually cuz I was thinking it's the exact same thing that had happened, but one of the main differences

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is that um there was very high rise in wages in America at that time. Right. Which was a big problem for inflation, whereas wages have been declining Yeah. recently, so it's not as much of an inflation problem. But I was actually comparing the two earlier today, so it's funny that you say that. Yeah, yeah. It's of course, you know, it's not the exact same thing, but it's a similar kind of uh broader market that we're in right now. Um but I lost, you know, a lot of the the money that I was able to make in that market. And what I told myself is I'm never going to I'm never going to do that again.

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Now it all comes down to the fact that I know I can make money in a raging bull market, and I know that I can even make some money or you know, break even in a market that's hard like the one we're in right now, right? But >> Is this a nice? Sorry. This is This is This is mainly equities, some options sprinkled in there, but mainly equities. This is like Robin Hood trading. It's you not uh you're not with a fancy broker or anything like it's Robin Hood. >> Robin Hood trading. >> [laughter] >> [laughter] >> [laughter] >> Yeah, Robin Hood trading. Do you think it's just a bunch of uh crazy people on

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there? Or you just think it's a bunch of like people gambling or I don't want to say nothing about it about Robin Hood, but it's the average perception is Of course, yeah. >> uh somebody's dad who just wants to put some money somewhere or young kid. It's a very visual >> like professional You're trading professional money and Totally. Yes. Totally. Yes. Totally. Yes. >> Yes, and you know, I was able to you know, get the account up swing trading momentum, and I was able to get the account up a few times. Of course, like I said, you know, in 2022, lost a good chunk of it. And then like the big approach that I've had

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is just focusing on drawdown control. Being able to make sure that, you know, cuz like I said, you know, I'm I I know I can make money in a market that goes up, and it's easy money, like, you know, quote-unquote easy money. But what happens when the market actually pulls back? Am I able to protect that capital, or am I just going to give back everything that I make? Because if that's what I'm doing, what what's the point of trading? If I'm just going to make, you know, a few thousand dollars and then give it back the next 3 months, I basically just wasted 3 months of my life. So, the most important thing to

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me has been since then capital preservation and understanding when the right time to press on the gas is, so when the market is easy, and then, you know, take a little bit off the gas whenever I'm not getting any traction on my positions. my positions. my positions. Yeah, but I I love what you're saying there because I think a lot of traders that I've known I've I mean, I've been I've been in the industry like 10 years now, and I've spoken to so many traders. And a lot of traders will just watch some videos thinking, "All right, I need to buy breakouts, so it's buying here and and selling there." But and maybe they'll go

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to the next level if if if they're thinking, "Okay, I'll identify five themes." Like EVs. I remember EVs were were hot a while back in 2017. 2021 and they're all breaking out, and you've had loads of themes like cannabis, cannabis, cannabis, EVs, cryptos, EVs, cryptos, EVs, cryptos, low floats randomly. Quantum was a theme recently. recently. recently. But like what I with you, I mean, are you going into like the 13F's? Are they Is it 13F's or 13G's to see what the hedge funds are are buying? Or how are you doing that? Yeah, so the main way that I look at like institutional buying is through volume. So, I of course, I take a look at

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like the you know, 13F filings and see, you know, what institutions are buying what, but those are delayed, right? Like you're getting that quarter after. So, what I usually look for is volume because at the end of the day, right? Orders cannot be hidden from the tape, right? You have dark pool orders, of course, but most of the time, you'll see orders within volume in the market. So, whenever there's like a base that's been you know, setting up for the last two, three, you know, four months, the market is accumulating, right? So, an institution might be accumulating that stock, and you could see it within the volume. volume. volume. And And And that is what

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I'm looking at, volume patterns within the market. So, is it is it just like, for example, you'll know that um AI is going to be hot. So, you might have semiconductors. have semiconductors. have semiconductors. Uh you might have some futures of silver and copper because there's a lot of silver and copper that goes into building these these semiconduc- semiconductors and these factories and solar panels and stuff like that. But um But um But um and then so are you then kind of like looking for above average volume before the breakout or something like that in these stocks? Yeah, so it kind of starts like it it it kind of starts like that, but it's a

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obviously a little bit of a little bit of a deeper process. So, what I usually do is like I break down every single stock um by theme, and I have like a big watch list of stocks by theme, see what theme is developing, kind of track those themes. And then what I look for is those bases that you just talked about. So, So, So, um again, if you read like, you know, uh Stan Weinstein's book about the stages of the market, um you'll see, you know, in stage one, there's accumulation. So, if stock will set up, it'll go sideways for a few months, and volume will be above, you know, average on the buy side.

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And then when the uh stock pulls back, the volume is going to be a little a little bit lower. Those are the stocks that go on my radar, and then I wait for them to start breaking out of their base. Some stocks I might see them a little bit later, they might already be breaking out of that base, and they might already be in that stage two, or they might already have a very strong move out of that base. And those are stocks that to me would set up as continuation stocks. So, now I'm watching those to set up like another, you know, smaller base that could set up for continuation. So, my thing is

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I'm looking for momentum within the market. It doesn't matter if it's to the upside or the downside, depending on of course, where the market is at and what cycle we're in. we're in. we're in. And then I'm doing a top-down approach where I'm looking at the index, I'm looking at the sector, the individual stock, and I'm choosing, "Okay, this is a leader in the market." For example, like, you know, the photonics stocks over the last few months, uh LITE, AAOI, those stocks have been going absolutely insane. And my goal is I need to try to get into those stocks. So, now what I try to do is I wait for a setup to set up

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on them. So, it could be a continuation setup, it could be like a flat-top base, it could be a bull flag, whatever it is that sets up to let me and allow me to get risk on that stock by taking, you know, a big position with small risk by having a clear level to use. That is what I'm looking to do. That is my goal. To get into the best stocks. You You identify 10 to 15 sectors, you research It's not very hard with ChatGPT and Gemini these days. It makes it probably a lot easier than it was a couple of years ago. You identify the key stocks in the sector, and then you just

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monitor in the watch list to see uh more or less on average what stocks are what sectors are heating up and what stocks within those sectors and and then obviously, it's going to fundamentally need to make sense as well. I'm sure you can think uh there's probably like with um with gold, for example, now, it's like there's a war going on, historically gold rises. So, you can you can identify fundamental reasons and attach them to the technicals that you're seeing as well. But then you'll go the S&P as the like not don't trade gold, trade the people that mine the gold, stuff like that. Yeah, you know, yeah, the gold miners. And then you can

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kind of go and see, okay, which gold miner is leading higher. Um so, during the the big move up in gold, I was actually trading NEM, which is uh a big gold miner. It was making new highs while while gold wasn't, and it was actually leading the move up. So, you can kind of go go in and break down um obviously which stocks can potentially outperform the asset that you're or you're looking to trade um or, you know, the overall market as well. well. well. Yeah, it's like you want to get the ultimate ultimate best alpha possible, and it's just a case of um doing a bit of research for that. So, so that ex-

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So, so how much money did you make? Did Were you like buying anything leveraged or anything like that? Like what was your kind of profits? Cuz you went $100 to 30 grand doing that. Yeah, so that was um options trading in there as well. So, a lot of it was, you know, at the beginning just trading options and getting some capital to to to grow that, which is, you know, the main reason why I I I traded options um was because I didn't have a ton of capital. So, um you know, maybe a lot of people are watching this are in the same boat. You don't necessarily have to trade options if you don't have

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a lot of capital. They're obviously very risky as well. Um you have to understand how an option actually moves and how you could take advantage of it and like the premium deviations and if a you know, option even makes sense to take at the time. But it can obviously be a help if you trade the right way and manage your risk correctly to grow your account to the point where you can trade equities. So, I was able to grow the account to, you know, 30,000, and then I had a big drawdown. And then what I told myself is I'm not going to, you know, have any more drawdown anymore over my career. And from there,

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what I did to build up the account was I was trading mainly equities and I would use money that, you know, I maybe made from work or you know, money that I you know, had on the side to fund the account and put in money over time. Now, one thing that's really important that I want to make sure everyone understands is like you never if you don't have, you know, a strategy that actually works long-term like you're not seeing long-term profitability, the worst thing you could do is continue to add money into the account because the difference is never, you know, the the account size. If you are not making money with $10,000 not going

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to make money with a million dollars. It's going to be the same exact result. What what you want to do is focus on building everything up slowly, building the skill correctly and then from there you can add money into a machine that actually works. So, that's kind of what my main focus was and then I was doing a lot of compounding and a lot of adding money into the account over time over time over time and I was able to grow a pretty good amount. Obviously, in 2023 2024 with the AI move that helped a lot. So, I caught some pretty good names like Nvidia SMCI over that run kind of helped me, you know,

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propel my account higher. Yeah, look I think Shawn you've already give a a huge amount of like advice and wisdom despite your young age. So, I'm just going to ask people who are watching this leave a comment on what you think Shawn's best piece of advice so far is cuz I'd be really interested in kind of what the community are thinking and we'll look through those comments in a bit. But leave leave a comment on Shawn's best piece of advice until now. until now. until now. And then I'm guess I just want to ask you like how how were you trading options? So, I know you lost the money on the earnings, but you were

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trading equities on the hottest sector swing trading. How did you start with options? Was it just call options or Yeah, so mainly call options because the market was uptrending. So, I never honestly even started to learn like, you know, how to trade put options until the market was going lower in 2022. 2022. 2022. But mainly call options and I would trade actually one of my biggest trades at that time was NIO. So, like in the EV kind of, you know, early kind of rage in 2021. So, just do naked call options. Yeah, the the the call options are a little bit expensive, but it's tough, right? Because you want to trade some of these higher

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priced stocks, but you won't make a lot of money buying equities unless you have more money, but you can't kind of trade. What I found is you can trade like call spreads spreads spreads and that that's still kind of lets you make a bit more money if you can't fully at least then just trading it with equities. I think you've got more risk, but you've got more reward. So, I understand that you you've gone into trading AI. Was is CRDO on your list ever one of the stocks that you like to trade is in the AI sector or I never got into CRDO. More so like COHR was one that I was in LITE LITE

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LITE in the photonics sector. Like how many hours are you maybe you're doing a bit less now that you've you've kind of mastered it, but like how many hours were you doing in the early days to to to like get to the knowledge that you've got now? got now? got now? I'd say probably like eight to 10 hours a day. So, I would trade for around three to four hours. I'm a big believer of taking time off of trading around lunch hours because well, I mean it depends on everyone's system. For me personally, I noticed like as I was journaling my trades, my worst trades came during lunch hours because there was, you know, no

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volume. The market wasn't really moving too much. So, I like to kind of take time off then and have like a a set routine of what I do with my day. So, most of my day looks like, you know, I wake up two hours or an hour and a half before the open. I make sure I know exactly which stocks I'm looking at and my exact plan for the day. If anything triggers off my plan or my list, I'll take the trade. If not, you know, I'll skip it and then I come back for power hour to trade that as well if there's anything that sets up. And then after that I journal all my

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trades right after the close and then I do my nightly scans and that's something that's non-negotiable to me. I always have to be prepared for the day that comes, right? If I can't do my preparation, I don't trade because what that leads usually for, you know, most traders, obviously every single person is different, but when I don't have preparation, I feel like I'm truly lost in the market because there's so much going on and when you're trying to like wing it and you don't know exactly what you want to look for and you're kind of just like on the spot, it leads to a lot of emotional decisions and a lot of emotional mistakes and

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bad trades for me at least. So, that's why I always make sure I'm I'm super prepared. But yeah, I I was studying around I'd say like eight to 10 hours a day. Again, I'd study like the best traders. I'd join their live streams if I could. I'd watch all the YouTube videos and I was really trying to soak in all the information and from there just really becoming the best version of myself because we can look up to many traders. Like for example, I always wanted to be Qull Maghee. Not sure if anyone out there knows him, but if you've heard of him. He's the Swedish Swedish guy, no? Yeah, the Swedish guy. Yeah, that's

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who I always wanted to be, but I realized you're never going to be another trader. There's so many great traders out there, but you you don't want to copy and do exactly 100% what everyone else is doing. doing. doing. There's these great traders that you can look up to that have given you a proven edge, but you have to make a system that like that kind of revolves around your own personality. So, my personality might be a little bit different than somebody else and you have to make sure that you are making your system based off of what you are what your personality looks like, right? Some people aren't that good at swing trading or

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they're not that patient. So, how are you going to swing trade if that's not something that, you know, you can personally do? You have to build something that works for you based on a proven edge. proven edge. proven edge. When you think about your process, you you would obviously read some books because a lot of the top traders have have have have have produced different uh different books and then you you've watched a a bunch of the videos and then when you talk about mapping out your own process, was that like just watching videos on options or watching learning the Greeks or anything like that? Like what was your Did you have any kind of

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process of things that you did to just expand your knowledge of the whole area? Was it like studying indicators, studying the Greeks, studying gamma, anything like that? Yeah, I'll say a big reason why I've been able to like expand my knowledge base so much is, you know, books are great, but being actively involved in the market every single day is the best teacher in my opinion. Like the market is the best teacher and if you're actively involved and if you're studying and if you are, you know, approaching the market in terms of letting it teach you and not trying to, you know, always beat the market, it is honestly the best teacher. So, I'm always

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learning. To be completely honest with you, like I'm I never say I mastered anything in trading. To me like I'm always learning new things. There's always more I can learn and there's always things I think I can personally improve at and I think the market teaches me that every single day. Is it just a case of being extremely curious to be like that didn't work, it should have worked. I'm going to look into all of the reasons of why it didn't or why it might not have the same. Is it just being super curious and let like like do do you dig into the SEC filings? You look a lot into dilution and stuff or

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any 10 Qs, 10 Ks, stuff like that? To be honest, no. Like my whole career what I've really focused on was technical analysis. Of course, you know, I wanted to understand and be curious and I am curious about, you know, fundamental analysis and company earnings and things like that and things that I should be looking for, but but but many of the best traders that I learned from always, you know, said focus on whatever the chart is doing because at the end of the day a lot of times you know, doesn't always necessarily happen, but a lot of times price action precedes whatever news is going to happen because these institutions usually should have an

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idea of what's going to happen or how the earnings look like and things like that and they load into names or they sell names, right? So, we can see that within the price action and see that reflected. But yeah, to be honest, I've always been a very like curious kid. I've, you know, I've loved math my whole life and that's something that is kind of correlated with the financial markets and just understanding how price action moves and why price moves the way that it does, the different patterns that repeat over time in the market because, you know, the market moves move based on human emotions and at the end of the day it's all patterns

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that repeat because of, you know, human psychology and that's kind of things that I've studied and and looked at a lot. In terms of your discipline, is it something that you've already had like innate from birth or is it something that you've had to learn and if so, how? >> [laughter] >> [laughter] >> [laughter] >> Yeah, so to be completely honest with you, that was probably the only thing that was really holding me back in my first few years. I had the worst probably discipline out of any anyone that I've, you know, talked to when it comes to trading. I'd average down on, you know, losers until, you know, they were zero. I would never

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respect my stop loss. But to be completely honest with you, what got me to the point of understanding like I need to actually be able to do things the right way is just being tired of making the same mistake. I got honestly tired of losing and making the same mistake over and over and over again and I told myself if I can't do this right, why even do it in in the first place, right? So, give myself a chance to even to even give this a a chance to do things the right way because trading will never work if you don't give it the chance to do it the right way and do things the

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way that, you know, should be done and using an actual system and managing your risk. If you're, you know, full porting every single trade into options, you're more likely than not eventually you're going to just take a big loss and wipe out everything that you made. So, you have to be able to do things consistently and focus on longevity. This is something we were talking about, right? Like a lot of people will make money, but then they'll lose it all because they don't focus on the long term up trading. up trading. up trading. Yeah, and the the thing is like it's it's tough cuz you first couple of years when you don't know if you've

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got an edge or not. If you don't know if your strategy works or not, you just want to win to feel like you can do it. But once you've got enough experience and you know what makes money, you're just like I don't want to put all this effort in just to just to just to just to lose. Like just to like cuz with a lot of trades, if especially when you short and stuff like that, you cover nine times out of 10, the stock drops, you would have made the money by averaging up nine times out of 10. But on the 10th time, you lose 20 times worth of losses. So like you've just got

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to learn that you're going to cover. It's going to go back to where you were. You would have made money, but it doesn't doesn't matter because that's that's not the long-term profitability. Exactly. And if you can't be long-term profitable, it doesn't you know, a thing really matters in that in in in that case. case. case. It's exactly the same as roulette as well. If you've ever played roulette and you just um put £5 on black, you lose. You put £10 on black or $10 on black, you lose. And you keep on doubling and doubling and doubling. Eventually, you're going to make the $5. But one day, you're going to lose a hundred a hundred thousand

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dollars when it goes black 20 times. It's the same thing. But you you've been talking about technical analysis. I would love you to break down some of your charts. your charts. your charts. Yeah. And some of your thought processes. And look, at the end of the day, you've made $500,000 when the stock market is crashing. So like I'd love to see how you're making money when where most people aren't. Most people are losing everything right now. 100%. So let me share my screen here. Get into it. So um I'll I'll first of all kind of review a little bit of my thought process on volume and kind of you know, you were asking me a

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little bit about that and how I look at the volume in terms of understanding you know, institutional um moves. And then we can look at some of the more recent moves in the market and kind of break that down. Uh but when it comes to just understanding you know, how the market is going to move and the actual trends within the market, a lot of it I break down to the volume, right? So when a stock starts to set up within a big base like this, I'll start to look if there's any kind of you know, ignition volume. Meaning if there's anything out of the ordinary that starts to pop up. And this is a

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a big trade that I had in uh 2024 with Tesla. Tesla. Tesla. Um Um Um and a lot of it was based on the fact that it had a really really nice volume candle here post earnings. So these are usually called like post earnings gap plays where the stock gaps up on earnings. But you could start to notice like like like the volume is just incredibly high right here, right? When it when a stock gaps up. But after that is where it matters more, right? So I look at what happens after price has a big volume move. Does it start pulling back on incredibly high volume or does the volume start to reduce like this,

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right? That is what I look for. So it's pretty much like a pattern like on a chart, but within the volume. So there's very high volume obviously after the earnings, this thing kind of pops up, and then it pulls back and sets up within this flag on very low volume. The volume is very low. And now what what that tells me is right here we had institutional buying. And here institutions did not sell out of their position because if they would have, it would have reflected within the volume. And then what really confirms that is when the volume comes back in after the stock makes the next leg, right? Because the volume is incredibly high

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again as the stock starts to break out. So this is one that I bought right a name that I bought right here into the moving averages and then obviously I was able to catch this pretty nice trend. And then I want to show you as well um when when the stock starts to top, you'll notice the volume patterns also start to change as well, right? And that can kind of show you that institutions are selling out of their position. So notice here, you know, as the stock is going up, right? The volume on the sell side is also going higher at the near the highs right here. And that's what tells me all right that

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this thing probably wants to start reversing the other way. other way. other way. And then from there, you know, if you look at the volume, every single high volume candle is mainly on the sell side until you get you know, this big low that happens here and then the volume patterns you know, kind of change. So the volume patterns are always changing on a stock, but if you can start to notice them, you know, earlier on when they start to shift, you can kind of get an idea like okay, Tesla here near the highs might be setting up to go lower on a break, you know, out of this leg right here. And then from

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there comes the momentum within the stock, right? And that's kind of what I look for. So you know, this is not something that I just go blindly based off of if I see it, but it's something that sets up within the momentum of a stock. So if a stock starts to break out and make a big move, I'm always looking at the volume patterns and seeing okay, if it's setting up on lower volume like this and then can it continue to go higher and is the volume supporting the move? And then from there, you know, the other way as well. So I was also able to catch Tesla on the short side on this move

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because while it was setting up, you could see the volume was higher on the sell side coming, you know, down out of this move right here. And then as it was breaking down, volume was pretty high as well. So that's kind of how I personally uh break down the volume patterns. Yeah, it's very clever. It's it's something I've never I've never heard anyone ever say this before. I've never seen it and it's probably quite a common way, but I've never heard anyone say it before in in 10 years. Really? Really? Really? Yeah, I know. I've never heard it. I mean this is something that I this is something that I kind of learned from Anna

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Coulling. So a lot of her like volume analysis volume analysis volume analysis um stuff and kind of just figuring out all right, where you know, the volume comes in and how it kind of creates effort versus result in a stock. So if there's you know, a lot of volume obviously and the stock closes at the highs, that's obviously a good thing. If you know, there's a lot of volume and the stock doesn't really move, there's not a lot of you know, result versus the effort within the volume. So it kind of helps you look at you know, how a stock is is is uh is moving and if there's juice behind the move that is

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potentially going to you know, set up. And then from there, all I like to do is just try to play the trends, right? So if a stock is going higher like this, sets up into the moving averages, goes sideways, low volume consolidation, I look to catch the next continuation leg to the upside. That is pretty much the system whenever of course the market gives you you know, bigger moves. Whenever the market starts to chop like it's been now, um um um well of course now, you know, we're getting a little bit more resolution to the downside, but when it was chopping, I had to start kind of figuring out how can I make money when

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the market's not really moving? really moving? really moving? Right? Because it's easy to make money when everything is moving and you're getting big moves side to the upside or the downside. But how can you actually make money within a range? And this is when I started to implement um me well what I what I call mean reversions. I mean it's a very simple concept. It's just you know, an undercut of a specific level and then a fail a failure to break that that level to the downside or the upside. So it's kind of basically like a failed breakout. And this is called like a you know, undercut and rally. So this is where a lot

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of my main kind of trades have been this month. Um just looking at potentially for example, you know, we have a uh this is on the Nasdaq right here. The Nasdaq's going down four days in a row into this level right here and it takes out this level and it traps a lot of you know, late sellers right here. Some buyers get stopped out cuz they're using these lows. And then we get a mean reversion the other way into the moving averages. And then the same thing, you know, the other way. So you reject the moving averages, you make a big move down, and then you come back into this low, you take out the

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low, and then you reverse again. Right? So that's kind of what I call like the undercut and rally. So you undercut a big level of support or resistance and then price is able to get back through that and set up for a kind of reversal move on the other side. And then when the market, you know, started breaking out of its range, I realized all right, well obviously now we have to focus on the downside move, right? So when the Nasdaq was trying to break down, um this to me told me we should probably be looking to flip to the short side on this move here. And and with the with the mean reversion strategy,

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are you trading those with options? options? options? Yes. So I what I realized is of course obviously the options give you some leverage um and I was trying to I was trying to trade them with shares, but a lot of times I just wasn't getting like much traction, right? So I'd have like, you know, a 5 10 15% move, but the next day the move would fizzle out. But with the options, because the premiums were pretty mispriced at the lows on the call side, I was able to catch some pretty nice, you know, moves the other way, but also the premiums were very cheap as well. So whenever, you know, let's say the Nasdaq right

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here this day, we made a uh new low and then we had a UNR, um the call premiums at the end of the day were, you know, pretty high at that point because a lot of people were starting to look at the premiums and they, you know, got you know, they got stronger because obviously we have a lot of fear down here. People are mispricing the options and then when the stock makes a big move up, everyone is looking to potentially get into that option. So is that just a case of literally buying a an options call? And you say exactly so And that's it. Like uh it would a one day I I play

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in the zero DTAs or DTAs or DTAs or No, so usually what I play is about one to two weeks out. Um and I'm looking at this for like specific uh individual stocks as well, right? So it's not necessarily like right on the Nasdaq, um but I'm looking at the Nasdaq from like a top-down approach. So I'm always looking to see all right, is the market putting in that UNR? And when it is, what I'm looking to do is buy basically the strongest stocks on relative uh on weakness in the market. So for I'll give you a great example. This stock right here, Dell, had that, you know, big gap up on earnings. It had

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a pretty nice setup. And all I was looking to see is is the market going to give us an undercut on this day, Tuesday, March 10th. It ends up, you know, taking out this low. The individual stock does as well. And then this allows me to, you know, buy it right here as a UNR and then swing it for multiple days to catch that big move. What's U&R? Just for everyone who doesn't know. Yeah, uh it's undercut and rally. So, basically you want a stock uh breaks a key level. So, it could be like, you know, swing low, it could be the gap low, and then it reclaims it. So, it's basically like a failed

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breakdown to the downside. Yeah, and you can see your volume profile as exactly what you were saying before where you've got the big institutional volume level and then not not no one's really selling or it's much less volume. Is that Is that a similar pattern? pattern? pattern? Yeah, so this I I would say like the the the the the volume pattern here isn't as clean as like the Tesla example that I showed, but yeah, you do have the big, you know, gap up here on volume. And then, you know, the sell-side move is on very low volume, right? Usually you like to see some more volume come back in as the stock goes higher. Um

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but that's the volume that you're looking for. So, always higher volume, you know, when the stock starts to ignite and then lower volume when it starts to pull back and then it could set you up for a pretty nice entry. Yeah, that's uh it's a really interesting approach. interesting approach. interesting approach. Um do you have Do you have more examples? You were saying that you're going to show a top some top stocks of the big uh moves or But yeah. >> Yep, so I'll go over the exact trade that that I took so I can kind of give you guys an idea of exactly what I'm looking for. Um so, this was the um um

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um setup that I was looking at on USAR. This was my second biggest trade of the year. Yeah, what I'm looking for is obviously the stock to start trending, right? So, this is the daily chart on USAR. It starts to make a big move up off of this low, goes higher, and then sets up within that base. But because the market has been, you know, extremely choppy, especially in the last few months, and especially, you know, like February was pretty choppy uh before we had the big breakdown the last week or so, all I was looking for was to enter some of these strong names on a U&R. So, an undercut and reclaim. So, what

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I'm looking for is instead of buying them on the breakout because usually, you know, I trade momentum and I trade breakouts when the market is very strong, when the market is choppy, what I realized was I have to take my entries near the lows because a lot of times new new highs and breakouts just get sold and then we get new lows, right? So, uh instead, what I what I was looking for was an undercut of the previous day's low. So, this example right here, you can see you have like a kind of bull flag setting up. A lot of people would buy this breakout right here. I bought the day before on the U&R

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of the previous day's low. So, you mark out the previous day's low, and then you wait for the stock to break under that low and reclaim it. What that does is it traps sellers at the lows, and then it reverses, you know, the other way pretty strongly. And then you can also The reason why I love buying U&Rs is you can put a very tight stop at the low of day. So, my stop loss always goes to low of day. I take a pretty small risk as long as the stock is, you know, pretty close to the low. And then And then And then I have a pretty good risk to reward if, you know,

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the stock does end up making a pretty big move in my direction like this, this, this, um I catch a pretty big, you know, reversal without much risk because, you know, my risk is always going to be the low of day on the reversal that happens. So, this is how the daily chart looks, and then my entries are always going to be on the lower time frame. So, I use the lower time frames to enter, and you could see right here is exactly um how the entry looks. So, this is the level, which is the previous day's low. The stock ends up taking out that low right here, and then right when it starts to

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reclaim and get back above the previous day's low is going to be my entry right here, and then the stop goes to low of day. So, it's pretty much like a, you know, a break below level and then a reclaim. And the moment I get that, that is where usually a big move the other way happens, and you're you're always taking such a small risk cuz you can you have a defined level, right? That's the main thing that I look for within my trading. I I'm always looking for for for okay, which level can I take a big position on with a very tight risk. So, at the end of the day, you know, I

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can have 10, 15, 20% of my account in a trade, but I'm really only risking about 1 to 2% of the account if I get stopped out. And then, as long as I have enough cushion, so by the end of the day, let's say if the trade works and it, you know, closes somewhere near the high, as long as I have enough cushion, I end up swinging the position, and then I try to look for it to, you know, continue to run in the direction of the overall trend. So, obviously here for this example, the trend was a move to the upside. upside. upside. Um is there any reason I mean, I can understand how

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in a bullish market finding breakouts is a lot easier than finding the U&Rs, but uh is there any reason why you don't trade the U&Rs in a bullish market? That's a great question. That's probably like one of the most common questions that I get whenever I like talk about U&Rs. Um what I've noticed is that, of course, if there's a good U&R setup, I'll take it, but when the market has a lot of momentum, what ends up happening is the best stocks don't give you way back in. So, a lot of times you don't have those U&Rs, right? Because if the market is strong, a stock is not going to break a previous, you know,

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range low. It's actually just going to set up and give you more so like a high tight flag like this than like a, you know, one that breaks and then goes higher like that. So, it's just kind of like break out and then you'll have it'll have a lot of momentum. momentum. momentum. Yeah, it's smart. Yeah, so you trade them it's it's very it's very I've I've I've I've interviewed a lot of people. I've I've had so many strategies and what comes to me is like it's it's so simple, but it's so smart at the same time. And like what you're doing is not It's what you're doing is not Elon Musk rocket science. Like

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it's not It's not Elon Musk rocket science. But it's like such a smart structured process, and you've obviously got a lot of discipline behind it, and it's all logical. But um recently you've been making a lot of money to the downside then. So, how does How would you How would the strategy change then? And by the way, thank you so much for being so transparent with you. Thank you so much for being so transparent. I mean, it's it's incredible incredible the value. It's incredible the value that you're giving. So, the community say a thank you. Say a thank you to Shawn. Please comment thank you, Shawn, in the comments if you're grateful for this cuz

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he's giving insane value. Totally. Yeah, if I can help, you know, just one person, that makes my day. That's the most important thing to me. But going up back to what you were saying, um saying, um saying, um what I usually look for to the downside is just the exact opposite of that, right? So, you can have an undercut to the to, you know, to the downside, and you can also have an undercut to the upside. So, I'll show you an example on uh uh uh JP Morgan right here, which is another trade that I took. Um you can have a kind of break of a previous day's high, and then the stock will, you

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know, get back through that previous day's high, and then it will set you up for the short side as well, right? So, it's basically like a failed breakout the other way. So, for this example, um this is a short that I took on uh JP Morgan right here on this day. It was setting up into the moving averages. It was clearly downtrending, right? Most important thing, you have to you have to understand okay, we're trying to play the trend, right? I'm not looking at any countertrend moves. My idea is I want to play within the trend of whatever this the market is moving, and obviously the last few weeks market's been downtrending. Um banks have

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been incredibly weak. If you look at XLF, it's been one of the weakest sectors in the market. Um there's been a lot of, you know, talks about the uh the private credit um issues that we have right now. So, banks have been, you know, a little bit on on on a on a weaker move, and I was looking to see okay, how can I get into a bank to the downside without having to buy the breakdown? Because if you look at this chart, it's so choppy, right? And this is how the market has been moving. It's been very incredibly hard to buy breakdowns or buy breakouts because it's just been, you know, you make a

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little small move and then things just start chopping. So, what I was looking for was to see if I can get a previous high day, you know, break like this, and then take that as a short, and then play the gap down. So, obviously, you know, by the end of the day, this gives me cushion. I'm able to swing it, and then this day gaps down. I'm able to catch a pretty nice 2-day move. And, you know, some of you might might be watching this and saying, well, this is like, you know, pretty small move on on JP Morgan, and that's where, you know, the options come in. So, I'm able to catch, you know,

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5% move on the stock, which if I was shorting it, you know, with just uh you know, just a short, uh you know, it wouldn't be, you know, the the best trade ever. But with options, I'm able to capture a 120, 150% move on this on the short. Yeah. Um I'm a little bit I'm a little bit mind-blown. Basically I've made half a million in the last month just just following these strategies. Yeah, just following these strategies and just trading with whatever, you know, trend the market is giving me. Um whenever we were chopping a little bit, I was focusing more on undercuts to the uh you know, the the undercuts to the downside and

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then reversing the other way. But now that the market is clearly in a downtrend, I've been looking to just short anything that I can get my hands on. So, for example, today, if you look at gold, um it actually set up exactly what we just talked about. So, this is a a new short that I took on gold. Um it's been downtrending, right? It kind of bounced into the EMA, the 8 EMA. And notice what it does today. So, it takes out um the previous day's high. So, this is Friday's high. And then if you look at the lower time frames, you know, it takes out the high and then trades back through. That's your

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entry. And then you have such an incredibly small risk by putting your stop loss at high of day, you're able to catch this move down. And if you have cushion by the end of the day, I'm swinging the position. So, you know, of course, it can it might, you know, take me out tomorrow, but as long as I have the cushion, um I have enough, you know, uh of a safety net to swing it. And now if it gives me a multi-day trend, um I have pretty good risk to reward on this idea. But But like do you need with gold, do you need a fundamental reason to think like X and Y and Z

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is happening or oil's going higher, it's making the US dollar higher, so probably gold. Is it like do you have a fundamental reason? Yeah, so I was looking at the dollar DXY and the dollar breaking out is obviously putting pressure on a lot of the metals. Um and that's the reason why I mean if you look at the correlation between DXY, so if you there's GLD, you could see you know the dollar has been going higher while while gold's been you know going lower, so that the correlation has been uh you know dollar kind of pushing higher here and that's obviously helping my thesis today. So I saw the the the dollar was starting to

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break out and if you look at the weekly, I mean this is looks like a pretty you know nice breakout happening here on the dollar. So if the dollar keeps pushing higher um to me it tells me you know gold might want to go lower and obviously gold also had a little bit of like a parabolic top here here here um on this move down. Yeah, I know it's um it's it's I can completely understand everything you're saying because I've been looking at the gold a lot and and for me it was a battle between uh is there too much inflation? inflation? inflation? It's oil's going higher and higher and higher but and there's this

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thing is is there going to be too much inflation in the economy or is the is the uh job market going to be too weak and we don't know or is it going to be both and you're going to get stagflation? Like that's the that's the million dollar question for question for question for by the Fed. I've been curious about gold because I saw bonds, I don't know if you look at that bonds like the 10-year bond yield yield yield dropped about 2 and 1/2% a day and I thought if bonds are if the bond yield is dropping 2 and 1/2% a day because everyone's buying bonds, that means that as the yield drops, there's

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less um there's less interest that people are making. Maybe the gap between inflation and and bond yield profit is only about 1 and 1/2 2% now, so I thought people would move to gold but then you've got the you've got the then you've got the US dollar going higher and higher because of the oil. Maybe it's it's kind of two counterweights. I wasn't sure which way it would go. I don't know if you've got an opinion on it. Um to be completely honest, like to me is whenever I find a correlation that I have seen happen multiple times, so I've always looked at dollar and I've looked at gold, right? To me it if the

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dollar goes up, gold is always going to be weaker and over the last few years, the dollar has been getting absolutely crushed, especially the last year or so, which has helped a lot of the precious metals go higher uh gold silver. And now that the dollar is kind of rallying off the low, that tells me all right, that's all I need to know, gold feels like it's a little bit extended. And the thing is, you know, I I could see gold going higher in the future but because the way the chart looks the way that it does and the analysis that I personally learned, to me it tells me, okay, this was a blow-off top

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move and it got too extended too fast and now it's probably going to want to pull back to the weekly moving averages and then set up a bigger base, right? All these moves on gold have came based off of these big base breakouts and it just doesn't have a big base anymore. base anymore. base anymore. Yeah, yeah, completely see what what you're saying and and it's almost like the other negative for gold is the fact that we were going to get all of these rate cuts before the war started. We were going to get the rate cuts, gold was preparing for the rate cuts. Once we get the rate cuts there's more money in the

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economy, the US dollar devalues, gold's cheaper and it's worth more. It's it's a better hedge but all of that flew off the table. table. table. Which is and and I don't know if you know this but um the other crazy thing about gold is that um um um countries like Turkey Turkey because oil is so expensive, it doesn't have any money anymore because it's having to pay in more money from from its government to buy the more expensive oil and it doesn't have the money, so the only thing it has that it can sell can sell can sell is gold. Yeah. And then you've got um and I know the Middle Eastern countries, they've got

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to balance the the US dollar. dollar. dollar. So the likes of um um um the likes of Saudi Arabia, Dubai, Oman, Qatar, these countries they've got to they spend a lot of dollars and they normally get dollars in from the oil but they're not selling oil anymore, so they're not getting any US dollars in anymore but they have to make sure they balance the the currency with the peg that they've got. US dollar versus dirham for example the dirham. So the only thing that they can sell to get more dollars is gold. So that has been also it's a macro factor that's been leading the gold. Something something interesting that I thought I'd share. So

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I can provide a little bit of the value that you're providing. Um No, totally and and I mean again it it it uh touching on what you said, I mean if you look at some of the volume patterns on on on GLD um you'll see that you know they kind of support what you were saying, right? Like there's bigger selling on the on the sell side than there has been on the buy side. You know, other than this uh day right here, the the the selling has been pretty much you know much higher, so that goes into like the volume patterns that I personally look for. Um seeing who has control of price right now.

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now. now. Yeah, and it's it's whenever it pops, you just get the major you keep on getting the major sell-offs. Yeah, it's fascinating stuff. Do you have a do you have one more chart to share? And I know we're coming up on a quarter of an hour right now. I don't want to I don't want to keep you forever but Let's do one more. >> value, yeah. This is uh I wanted to go over this one cuz it was my biggest trade um of the year, so over 174,000 on one trade. And um this is probably what set me up for such a good month and this was uh kind of being early to looking

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at the rotation within the market in terms of you know leaders going into potential weakness. So obviously WDC has been one of the strongest stocks in the market. Um and Oh sorry, this is the yeah, this is the trade so here uh on the sharing. Um WDC has been one of the strongest stocks in the market and uh MU has been one of the strongest stocks, SNDK, right? STX, a lot of like this memory theme has been incredibly strong and what I started to notice on the daily time frame was these were starting to you know roll over, right? And again, looking at the volume patterns, they were looking like we were going to see

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a potential uh kind of exit out of these stocks and this is called you know distribution, most people call distribution, where the stock fails to break out and then now it's starting to you know roll over the other way. So I started noticing early on that WDC, MU, SNDK, they were they started to fail to make new highs and if a stock is really going to go higher, right? Like if you look at the trend of SNDK or sorry at WDC WDC WDC it's you know been uptrending for the last year probably making massive moves but every single time it's broken out, it's it's made a move higher, right? And over the last few weeks,

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I noticed, all right, well it wasn't really making new highs. Every time it tried to break this high right here, it was failing to break that high and then it started to get under the moving averages. So it got under the eight and the 21 EMAs, which are moving averages I use a lot in on the daily chart to kind of look at the momentum within the market. And when I started noticing you know that they were breaking under the moving averages, so we can add that right here. Um that is when I started to look for a potential rollover on this on the stock, right? And then I used uh you know that rejection

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idea to get short on this. So I didn't have it didn't have that you know uh kind of undercut that we were talking about or the break above the previous high but what it did have was it was retesting into the um into the nine EMA or the eight EMA. And then from there, I was able to use what I call 15-minute pivot. So this is a completely like you know brand new concept and [snorts] I'll just touch on it I'll touch on it in a second because this is also something that's helped me a lot um over the over the over the over the last few weeks. Um is using a pivot before buying.

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So what I mean by that is you're looking at let's say you know if you're looking a short or if you're looking a long, a lot of people like to guess, okay, a stock is going to you know go down, it's just going to reverse like because it has to be the bottom, right? Like you can't get in cheaper. But what I look for is I look for at least uh price action to confirm that a reversal is going to be taking place. So what I like to call this is you know 15-minute or a 30-minute pivot and why 15 or 30 is because you can use either one of those time frames but it

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gives you enough time to see that the other side gain control to know that a stock might be actually reversing. So reversing. So reversing. So it the concept's incredibly simple. You're looking at the first red 15-minute candle after a stock made a big move up into a resistance level. So for this example, the we had the nine EMA on the underside and the 21 EMA was above price as well and all I was looking for was to confirm, okay, the stock was going to reject, right? And it ended up putting in the first 15-minute red candle right here. I mark out the low low low and I mark out the high of the 15-minute candle

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and then I buy right as the stock breaks the 15-minute candle low, right? And that was obviously on the short side, so I was playing puts on this idea. idea. idea. And I was looking to short it because it just broke on the daily the eight 21 EMAs and it was rolling over and then I got the 15-minute pivot right into the moving average. And again, very similar to the undercut or the you know rejection off the high that we were looking at, you have such good risk reward because all I'm doing is I'm putting my stop loss at the high of the 15-minute candle. So that's why I mark out the high and the

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low and then I end up buying right here. And then on this idea I actually added more, right? When it retested the 15-minute candle pivot, so these two are my entries right here. I ended up taking a short, I added back into this and then obviously if you look at the you know daily chart, this thing ends up gapping down nine or 10% the next day and ends up being an absolutely massive trade. Now, you know a lot of people are going to say, you know, well that's luck and stuff like that. Of course, in trading you do need to put yourself in a position to get lucky. So my goal, right? I'm never always

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going to be right. You know, my win rate is like 60%. It's not anything incredibly crazy. But, what I do really good or what I try to do really good is I give myself the opportunity to get into the right, you know, positions before the move actually does happen. So, I like to look for clues that things are going to be, you know, working in my direction. So, for example, the market was starting to break down when I was looking to trade this to the short side and it had, you know, the volume patterns that we were talking about was breaking the key moving averages. And now I'm now I'm now I'm telling myself, "How

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can I get into the short position cuz I think this stock is probably going to, you know, absolutely crater and make new lows and roll over off the highs." It's an incredible an incredibly simple analysis, but completely true and and I I think I like to I like to think There's a saying probably all over the world. It'll be in America as well as England, but um you you you make your own luck, right? I'd like to think that for me I would say I'd like to think I can make my own luck. I can put myself in the positions where I'll allow myself to get lucky and I'm lucky more times than I'm unlucky

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when the probability is on my side and And that's that's what I'm always trying to do with trading. The thing is like I'm 30, you're How old? 23? 23. 23. 23. 23. Thing is what? I'm 38 and like like like and I can understand fully all of the concepts that you're talking about and what you're saying and I've been I've been I've been on the planet long enough to to understand. But, for you to know this level and and and not not only do you have this level of knowledge, you also executing also executing also executing based on this knowledge. Because what what what what what what we're doing now is hindsight, right? Yeah. executed

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this and you've seen it before as well. as well. as well. Which to me is just totally insane. It's totally totally totally insane that a 23-year-old can do this. So, the question is like how how can someone else do someone else do this? It seems like you've achieved a a high bar. And if so, how? >> Yeah. >> Yeah. >> Yeah. So, that's something that I always ask myself when I first got into trading. Like, can I actually can I actually do this? Like, is this something that is actually possible, right? And I've seen people like, you know, myself coming on to this to this podcast um that were able to do it. And that

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honestly is what gave me the motivation. You know, if someone else can do it, I always thought to myself, "Why can't I put myself in a position to do the exact same thing?" It's not going to be easy. It's going to be incredibly hard, but that's what makes it worth it, right? The the hardest things in life are the most rewarding. And to me, kind of cracking that cracking that uh I guess, you know, I'll call it the game, quote unquote, of trading is what was my kind of like of like of like what what I thought my purpose was. Like, I wanted to make sure that I am the best at this. Like, I'm

S25-P0157 original line 55, characters 206589:208383
incredibly competitive and I wanted to be, you I still obviously have a way long longer way to go from Uh Uh Uh but I want to be as good as possible at what I do. So, if you truly love looking at charts, if you truly love trading, if you truly love everything that goes, you know, around uh you know, the markets, you you you can't, you know, lose because you love what you do and you love looking at things every single day and eventually something is going to, you know, click for you. And all you have to do is make sure you're trading, of course, the right strategy and it does have an actual edge.

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And then from there, you have to, you know, as simple as stick to it. And I love what you were saying earlier, you know, a lot of the things that I talk about are simple. That's exactly how I want my trading to be. I want it to be simple because that means it's repeatable. I can do it for, you know, months and years because I'm not looking for, you know, some crazy uh kind of moves in the market. All I'm looking to do is uh repeat my strategy almost every single day if there's a setup there and then just let the rest, you know, play out. Yeah, but I think I think with you you're

S25-P0159 original line 55, characters 210180:211964
you're very very in tune with all like like like a lot of traders who learn and some might make money and then lose it and stuff like that. They're all very into one niche. So, someone will get really into microcap stocks. They'll learn how to short them. And then and they'll learn the technicals and the patterns and the the typical percentages and and this stock 84% of the time when it gaps up this percent, it does this. But, then patterns change, the market changes, but you're very in tune with like like like you're very in tune with the market in general. general. general. So, you're not going to make money for 2 years on one

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pattern and then then lose because you're literally following the market on a macro level. Yeah. I I I >> And I think that, you know, this year being able to adapt to what the market was throwing at me was something incredibly challenging, but um it it it totally to me like if I didn't trade in these conditions, maybe later down the line I would have not known how to, you know, approach them. So, I think it's always good to get the experience like I was saying earlier from the market and just let the market teach me what is happening. And from there, all I'm trying to do is just figure out what continues to repeat

S25-P0161 original line 55, characters 213863:215760
within the market because over time the market, you know, repeats these patterns because it's human psychology. And I'm looking to see if I can exploit those. Sometimes there's exploitable patterns, sometimes there's no edge at all in something and you have to just, you know, kind of tweak and see what works. But, yeah, I think I think you nail it when you you just got to be intensely passionate to to to to care enough to look and at the fact that you might be trading uh trading uh trading uh you you've kind of got knowledge across all sectors and commodities and and the overall markets across options and equities and futures. You mastered You I'm not

S25-P0162 original line 55, characters 215761:217572
going to say mastered cuz I know you don't like that, but you've gotten in-depth knowledge if across everything. Do you have any final words or any piece of advice for for anyone else to replicate this? I I think what you've done is totally amazing, by the way. I think it's I think it's incredible what the level you've achieved. So, well done for that. But, uh and please anyone comment below as well. We will we will read these. Check One one thing, shout out for your YouTube channel cuz I know if anyone wants to know more about Sean, you've got a YouTube channel. Uh you're on X. Yeah, so I'm on Twitter and I'm on uh

S25-P0163 original line 55, characters 217573:219365
a lot of my content's on YouTube. So, similar to this, I break down, you know, uh my strategies. I break down some things that I use and what a little bit, you know, more in detail as well. So, the YouTube is uh just Sean Trades. Well, uh Sean, I just want to thank you so much for imparting all of this knowledge. It's it's one of the one of the episodes where I've I've learned more. I've probably learned more on this episode than episode than episode than maybe any other episode. So, I really value your your feedback and you and you doing this and and um and if you have any last words, I'll I'll leave

S25-P0164 original line 55, characters 219366:221206
it to you. Uh yeah, thank you so much for uh having me on, guys. Uh I think it's great what you're doing for the industry and um I think that anybody that is passionate about, you know, learning trading, learning trading, learning trading, um obviously it's an incredibly tough market out there, but just take it with a grain of salt. It's always good to be, you know, it's always good to learn when things are challenging because when the market becomes a little bit easier, that is when you have, you know, an an edge that could be magnifiable and then you can keep more of what you make when the market becomes, you know, weaker like this.

S25-P0165 original line 55, characters 221207:221280
Thank you, mate. Yep, 100%.

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My $9M Edge Short Selling: Themes & Schemes

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👉 Check Adam's performance on Kinfo: https://kinfo.com/portfolio/25458/performance

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👉 Learn more about the Aikido Trading Method: https://aikidotradingmethod.com

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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Adam Gefvert’s story is one of the most dramatic we’ve had on Transparent Traders.

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At 38, he was broke - days away from moving back in with his parents.

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Fast forward, after working as a biotech analyst, then receiving mentorship from a hedge fund trader, he’s now verified on Kinfo with over $9M in profits, including over $600K in the last 30 days.

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📖 Chapters:

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0:00 – Intro: Meet Adam Gefvert

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01:45 – Going broke in Medellín and how he turned it around

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05:30 – Working for hedge funds

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08:47 - Kinfo charts, the road to millions and $5M blow-up

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17:38 - The Aikido Trading Method - intro

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22:55 - Hotkeys, brokers & routes

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26:16 - Example trades, PR analysis and research

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33:15 – Avoiding blow-ups: schemes vs. themes

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47:13 – Advice for new traders

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🔑 Key Learnings:

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- Schemes vs. Themes – Adam explains how to spot the difference, which saved him from repeat blow-ups.

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- Fundamentals in Small Caps – A lot in PR language is often just a red flag. He breaks down how to filter real catalysts from fluff.

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- Execution Edge – Hotkeys, routes, and rebate-optimized order flow aren’t side details, they’re a real PnL advantage when moving thousands of shares.

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- Exponential growth cuts both ways: the same compounding that turned $20K into $9M can also turn one mistake into a $5M hole.

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- A good short at $5 can become a terrible short at $10 - timing and context matter more than the textbook setup.

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#trading #daytrading #kinfo #options #Transparenttraders #adamgefvert #stocks #options #longtrading #marketpsychology #tradingpodcast #shortselling #optionstrading #chatwithtraders #finance #tradingguru #jonk87 #stephenjohnson #chatwithtraders

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✔️ Follow Adam Gefvert: https://x.com/shiningboy

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✔️ Follow kinfo: https://x.com/Kinfo

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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🔴 Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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$9 million verified. >> You want to long on the front side and then on and then you want to sell your long at the top. Some of them have good routes. So, um I have like the best route like here I use Arca. So, that's not a very big number. Like if it say like 100 billion that might be something big. So, I shorted it when it went up at the open. It just went apeshit. And they also have a decent amount of debt. 28 million and they also converted the debt to shares. So this is a good opportunity for the people. So I basically look at everything going on. I try to avoid shorting.

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Today we have someone very very special that we're interviewing. He was broke at 38 years old. Days days days away from moving back and living with his parents. since made $9 million verified, 500K in the last 30 days. 100% third party verified on Kino. We don't interview unverified traders and you can find him at Aikido Trading Enigma on Kinfo. I hope I said that right. You can correct me. Um, but today we're going to look at this specific Aikido trading method and we're also going to run through his profit curve, review some charts, talking about his hotkeys. He's actually very open to deliver um some real examples to try and give back and help after

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he's made after he's made all of this money. So without further ado, how are you are you are you >> doing? Great. Thanks, Stephen. >> Adam, uh broke at 38 years old. That must be incredibly I how did you go broke at 30 years old? That's the first question I've got for you. >> Yeah, it was terrible. Um yeah, I to summarize it. Um, basically, um, I was I was kind of I used to be a professional poker player when I was like, you know, young younger living in Los Angeles. And so then I, um, I decided I was kind kind of tired of playing poker and I wanted to get into the stock market.

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So, um, so I I got my, um, while I was playing poker, I got my CFA exam, CFA designation. And then um I moved to New York City to um you know to get experience with with hedge funds or mutual air funds and you know work work in New York City. And so um at that time I um basically lost all my poker winnings in the stock market. You know I lost everything from from trading you know just like kind of shooting my shooting in the dark. And um so I had a couple analyst roles in New York City. Um I worked for you know a couple funds. Um, one of them was, um, you

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know, Martin Skrilly's biotech fund. So, I learned about, you know, biotech from working for him. And, um, and then and then I from there, um, I I wasn't really that good in the corporate setting. Um, you know, I didn't have great social skills and I just wasn't really it wasn't really my thing. So, I started my own business of research. I was doing my own research on stocks, small cap stocks and I would sell my research to um you know hang out with individuals and you know and hedge funds as well. And at that at that time I was publishing on Seeking Alpha. You know right now I have my my own website for that.

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But from there um I I I moved out of New York City because I was paying like you know a lot of the time for like a tiny studio apartment just one room and plus I wasn't really into the weather. So I moved to Medigene, Colombia and I was living there and I was just kind of working on my um my business and um yeah I just basically end up get getting broke. I mean my business kind of dried up. Um I just I was losing in trading and so I just basically went broke. I was getting you know there the cost of living in Med is very low. Paying like 300 bucks a month

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from my apartment. So you know food's really cheap, everything's really cheap. So you can live there, you know, being poor, you can easily live in Medigene in Colombia. And so and then um what what happened was um I was just about to move with my parents. I was doing like a little odd jobs on Craigslist, whatever. And then I just started, you know, started figuring out more. I had a mentor, which which was from a hedge fund that I was working for. I was doing research for the hedge funds and and I got a mentor through him and um I saw the way he was trading and I started just kind of doing what he

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was trading like I asked him like yeah so this stock this stock did you short did you short that one he's like yeah do you short this stock yeah like wow so you shorted all these stocks and this is like a hedge fun analyst I'm like wow so like okay so maybe I should try doing the same thing you know short shorting these these small caps so I started doing doing the same thing and you know it ended up working and And I kind of divi uh you know divided my own men my own method and um yeah I want to be a mentor for people as well who might be struggling with trading. I

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want them to trade my method. You know I'll teach you because I'm not like a bright a super genius or bright guy or anything. You know I'm I mean think I think I made most of my money from my method which you know we'll go over on this show and through um a ketoradingmethod.com. go on the site there and you put in your name and email and then I'll I'll shoot you an email and tell you you know how we can do do the mentorship and you know help help you help people learn my my strategy my method >> but but like first I just want to understand so like your background is in poker

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like do did you go to like university and stuff did you study anything related to finance or banking or anything like that I'm just curious like how how did you get into a fund with no experience >> um no I I did get I graduated from UC Santa Barbara um 2001 and got my um business uh economics degree and then like you said I I I got my CFA designation. So that's a good that's a good that's kind of a right of passage. That's like a three-year program. Um you got to study like a thousand hours of study and that gave me a good fundamental basis. But as you know I mean trading isn't only

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fundamental. I mean that's just a small part of it is part of it but technicals are more important than fundamentals when it comes to trading. And then from there, um, well, just from there, I mean, I got my CFA and then I could work for hedge funds because they said, "Okay, I got my CFA. That's a that's a big plus." And so I got some jobs. It was difficult, but I did get to get get jobs with with a couple different outfits there before I went on my own after that. >> And and then this uh the hedge fund contact, did you meet him kind of through the industry uh when you were in New

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York or >> Yeah, >> Yeah, >> Yeah, >> how did you make that connection? I I I I end up knowing a bunch of people and I I was distributing my work because I started my own business, White Diamond Research, and I was selling research to hedge funds and so I just got made contact just networking through different hedge funds and that's how people got to know me. >> Yeah. No, no, I'm just trying to piece this together because always when it's with Keno, it's kind of a lot of newer traders as a trader with a couple of years experience and it's trying to how can they emulate your path? But I guess you learned

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did you learn the research and analytical skills through through your time working at funds in New York and then you started kind of did you start doing that on your own or did you learn that a different way? >> Yeah. Um basically through through um hedge funds you know um other also that CFA exam helped a little bit you know learn how to fundamentally analyze companies and from there um I just started work with hedge funds you know see how they do and then I got the mentor like I told you about um the main the hedge fund analyst that helped me learn how to trade and now I don't have to work for hedge

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funds anymore I just do my own I just trade my own money I just do my research for myself and I have one client um you know he's got I manag like $3 million of his money. He's just a retired old older guy in Palm Beach, Florida, and I just manage his money and that's pretty much it. Um, I just do everything else on my own. >> So, I've actually been to Medigene as well. It's a beautiful place. But I'm just curious, uh, from what point did you go from your living in Medigene, your research business wasn't going too well, and then you've made 910 million trading. Like, what what clicked and changed there? changed

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there? changed there? Well, it was it was the mentor, you know, the um you know, hedge fund mentor. I started trading, you know, the way you said, but that but I think sometimes it could just take a little something small that holds you back with trading. There might be just some some little thing in your, you know, in your game that's that's that's holding you back. And if you just solve that one issue, I think you could make a lot more money. And the thing also with trading is is exponential, right? So like if you you could be broke, right? But then the more money you make, the higher your betting, you know, the the

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bigger your trades, you make even more money and you then you, you know, make even bigger trades. And so it's just x minutes. So you can make money really quickly in a really short amount of time if you have a winning strategy. >> But like what what's an example of a small thing? Because like they always say that old thing where like you could be so close to reaching the gold when you're digging with the axe that you don't know. It can be that small thing but like for you what what was a small thing that you changed that just boom it it started working >> well I'm trying to think what exactly was the

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issue for me um you know I think knowing that I can you know short short small caps and you know be okay um short a lot of different small caps and I just saw the way they just constantly faded after going up on news you know there there was there was that I just started was was getting better at that um and you know There was there was, you know, there there was speed bumps along the way, but um yeah, I mean it was just it was just working. It just worked worked for a while and I had the the fundamental plus technical um advantage there. Now, if if you want to take a look

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the um I can share the screen here. Um I'll show you my what it looked on my Kinfo. So So this was starting back um this is in 200 uh was it 2020? Yes. So this is 2020. So um yeah, so you can see here. So it was kind of kind of a struggle here. So um I I started I started you know making more money that that year in 2020 and uh and uh and uh >> did you make a million dollars then nearly lose it all again? >> Yeah. So I made looks like I believe this is just on the camp. Yeah. Made make close to a million. So then I moved to

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um on January 1st 2021 that's when I moved to Puerto Rico. So I'm in San Juan Puerto Rico. Um, and I started going I lost it. It went down to Yeah. I lost it all all all and then from there what what happened? Like how did you make a million dollars and lose it in 2021? What what happened, mate? mate? mate? >> Well, I I think what what would happen was it was just an extremely bullish time and u I was shorting like with big size and I had a couple uh shorts that ended up losing me a lot of money like well quite a few actually. And we can go over it as well

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too. Like recently here you can see I've been losing as well. Um a lot looks like it looks like I had a draw down probably close to a million recently. Um not quite a million, maybe half a million, but then I made it back over the past couple weeks, but just cuz I just I was just getting caught in these tough tough uh sectors. And and that's one thing that I'm you know that I go over in my method. You know, you want to you want to avoid shorting themes if it's a theme. like back here was the electric vehicle theme. There was quite a few themes in 2021 is it was just an extremely

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bullish time at the beginning of 2021 because that was right when uh when Biden got elected and when there's usually when there's a new president then it can it can be very very a very bullish period. And so you can see from there I I ran it up. Um I I did well I ended up doing well by the end of 2021. Kept running it up um you know 3.6 million in 2022. 2022 was was bearish. So, you can see I made more money in the bearish times um because I mostly short. I'd say 90% of my my trades are short. And um and then and then from there um it kind of went sideways

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for a while and then you can see I had this really great run up here. Now that that can be a forboding to disaster because then I got this one loss here. So what happens when you're when you're doing really well, you think you're invincible, right? Like you think you can't lose. So you might go get much bigger size. And then this was this was a trade here here. This was a company called TOP. And that was a scheme. And I'll go over those later. There's themes and schemes. Those can really hurt your short positions. And a scheme is when a stock is just brought up artificially. when a bunch of pe a bunch of

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tra uh bunch of insiders get together or it could be you know just a couple insiders and they just say okay let's just buy up all the float let's just run the stock up so then we can sell it later and so they this stock went from like five bucks to like 250 in one day and so I lost a lot of money there because I had a big investment and I was stubborn with it um and now I I've changed um especially after this one which I'll show you here but you can So that was that was uh April 2023 April 2023 April 2023 and then um I I I ran it back up.

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So by September well let's see what about so around I guess September 2023 I made it all back. So I lost 3.5 million here. Well I guess maybe 3 million on Kevo. Made it all back by September. Then I ran it up some more. And then I it looks like I had kind of a rough period here. And then this one was like a terrible trade here. I lost a total of $5 million because I um I was managing friends money and also my own money. So I had and a a lot of accounts went below zero. This stock was BMR that did this. It went up um a,000%. And so since then you can

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see I don't that doesn't happen to me anymore. I I've adjusted my strategy to prevent that from happening. Um, now I have a stop loss of $200,000. Um, like a max loss. So, um, so I don't foresee this happening unless it's some crazy freak situation. But, um, yeah, like my strategy now, I like it better. I'm more conservative. I took a lot of money out. Like when I lost all this money here, I had a couple accounts that were like a million dollars or more and they went to like negative a million dollars. They went from positive to negative million. So now I have smaller accounts like I put my money and save for investments.

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for investments. for investments. Um and I don't have all my money in, you know, in um the stock market. But at this time I was just like I just wanted to get rich really fast. I wanted to put all my money in the stock market. I had too much of my net worth in trading accounts and so now I'm much more diversified. I'm much more measured and so I had to adjust my method to be to be more careful. more careful. more careful. >> Man, like you must be a man of steel. Like how how on earth can you have the appetite to to to lose $5 million and then recover? then recover? then recover?

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Where where did you develop that? Is it something you've had from a kid to to to not care about the money? >> Well, no. I I do care about the money. It's just it's just I I was just I was I had to make a decision right then. It's like do I want to just retire and quit doing this or do I want to you know keep going and you know I had a lot of emotional feelings about it. >> Can I just quickly ask how much did you start with uh to get to this uh 10 million levelish? million levelish? million levelish? >> Um you know ju just just $50,000. I mean I was

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pretty much broke so I just you know got back um you know 10 10 20,000 and just just worked it up. what what I learned from these big losses, you know, the one this happened once in 2023 and April and then it happened in May or actually February 2024 is um you know sometimes just the the stocks just go nuts in one period and I I I I try to just get out before it reaches that time. Like sometimes a stock is a good short might be a good short at five bucks, but it's a bad short at 10 bucks because it's in some crazy short squeeze um you know, loop that that just makes

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it go to insane heights. And so I I um you know, that's why it's good I have the $200,000 max loss now. And I have I have had a few of those 200,000 max losses over the past um couple months with like CYN um ASST which was a crypto treasury and um you know it's just mistakes that I make in the moment and um I just have to learn from my mistakes and just move on better. But at least now I have the m that max loss so that'll prevent me from having a $1 million plus loss again. >> No, I think I think you couldn't have said that better. I think it's probably my

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favorite line of the episode so far. It's that the higher normally a short goes, the better the short is. But you've just said something really powerful there that it can be a good short at four but a bad shot at 10 or it could be a good shot at five and a bad shot at 10 specifically for the mechanics that everyone's getting squeezed and it can go to 100. >> But uh >> yeah, it is weird to hear that because you don't you don't get you don't get trained that like in the CFA or in college you don't get trained you just get trained like this is what a company's worth. This is the intrinsic

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value. If it's over that, it's overvalued. But the actual mechanics with trading is it's not not always not always equates to that. And you know, since I'm trading every day or most days, um you you you'll run into those kind of black swan situations um once in a while. >> But I'm I'm really excited to get your trading method at this point. I'm sure everyone else is. So I I'll let you uh kind of take it away so you can give us a kind of an indication of your style and if you can touch into a little bit of the fundamental analysis as well. I'm quite curious is how the fundamental fundamentals link up with

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the technicals. technicals. technicals. >> Yeah. So it's both fundamentals and technicals. So let me um go to the website here. So here you I got I got the kit info here at the top and um >> beautiful >> beautiful >> beautiful >> some realized unrealized gains here. And now this this top one, this was an example on RSLS of a what I call a scheme where they bring the stock up artificially and they run it up because they went from like 50 cents to $3 and then back to 50. And what what they did was they they had a bunch of um cashless warrants. So basically um it means that they can they can basically

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sell stock at at that they got for zero that they bought for zero. They can sell it. So they would basically sell 14 million shares at any price. price. price. What like one um one fund that had that had these these warrants, they just needed to get shareholder approval and then once they got the shareholder approval an 8K came out and instantly went from three bucks and crashed to like 50 cents. So that that was a good that was a good timing there there on that one. >> But just just when you're saying that so you need to have some indication and a good knowledge of the SEC fail. So you you know cuz you

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went through the filings, you know that uh these these warrants or this dilution is open. It's is it's just a matter of when the shareholders give the approval for it to raise the funds. Is it something like that? So you're are you already short? Are you already short just waiting for it or um I was that particular spot I was already short and then but then so I in a way I kind of got lucky on that trade but then I saw I saw the AK come out and then I realized okay it's going to get dumped. So, I didn't cover right away. I was like I was just holding holding my my uh my

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shares because I shorted around three bucks. And then when I saw the AK came on, I quickly looked at it. I'm like, "Okay, that's that's a shareholder approval." And I didn't cover until it was like like below a buck. >> And And what put you onto that stock in the first place? What what put it on the radar? Was it like a top percent gainer or or or >> Um it it was just it was just kind of kind of a runner. It it ran all day the previous day and then I and then I I shorted it the next morning thinking that it was going to fade. >> So So it's a top percent

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gainer. This stock's a piece of Why is it running? Let us look at the SEC filings and see if they're planning on running it, pumping it to dump it. Is it like that or that or that or >> um Yeah. I mean, yeah. Yeah. It's just because I look at all the top gainers and then I I analyze why is it up? What's the reason? And you know some there's no reason and and then from there you got to figure out okay when is it going to fall when's the time when's the right timing to short it or when when or it could be a long when when do you want to long it because

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ideally you want you want to long when a stock's moving up when it's the uptrend it's called the front side and then when the backside happens you want to short. So ideally the best way to trade and this is what I'm I'm learning myself and I do long as well um on occasion but I you want to long on the front side and then and then that's when the news first comes out or that's when the trend's going and then um and then you want to sell your long at the top and then flip short on the back side. You see what I mean? >> Yeah, I know. It makes makes false sense. Makes false

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sense. >> Yeah. So that's what I want to get get better at doing is um you know being able to time it uh you know to make have the better timing. And then you can see this picture of me. I'm kind of in a meditative state. Um I've been I've been trying to meditate 10 minutes a day and I I usually do meditate 10 minutes every every day before I trade. And that's what I recommend people to see. You know, in in meditation, it's not like you just close your eyes and you don't think, but meditation helps because you can you can kind of close your eyes and figure out what are you feeling right

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now? What are you thinking about? Is there anything that's, you know, making you feel emotional? It could even be a bad trade could make you feel emotional or, you know, if you get get in an argument with your girlfriend the previous day or, you know, something h somebody does something to make you angry, that can all affect your trading. And so I think it's important to meditate um at the beginning of every day to get to see where your mind frame is at. >> Nice. I mean could you give us an example of kind of how you would break down a specific trade or if you have a specific trade or a chart just so

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people can see like your full process of okay this is on the scan. This is an entry. This is what I look for. Like even an example of one trade how it how it works. works. works. >> Yeah. Yeah. I'll go over those those trades. But yeah, so this is this is the website and then um you go to the free training and then you'll see there's a seven minute video of me, but if you put your name and email then I'll I'll send you you an email if somebody wants to be mentored by me and learn my uh trading method, the AO trading method. Um that that's how you get in contact with me

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or they can get in contact with me on Twitter as well. >> Perfect. >> Perfect. >> Perfect. >> All right, so these are these are some of my brokers here. Um you got Cobra. Okay, cool. So they're know they're all doths. So they all have the same hotkeys. Got Opal. This is um center point. point. point. And the hot keys I use are um so here's the trade here. And like a one is 5,000 shares, two is 10, three is 15, four is 20,000. So normally I trade small cap stocks or even micro caps. And so um I I trade usually in like blocks of 5,000. So then a zero is 50,000. So that way

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I don't have to type in the amount the amount. I sometimes I I still type it in, but this is just a quicker way to do it. it. it. And then um now some of them have uh have good routes. So um I have like the best route like here I use Arca for Cobra. The best route is RB RB25 L. So that's so I have the right trading route. And then um control P is just the position size. position size. position size. Like right now I I swung short IHL which that's a trade that's one of the trades I want to go over. And um yeah, so that's that's basically how that works. I

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also use um a a trade a route called T-W L. Now this is because I use big size. is I mean people that use small size they don't have to use it all the time but what T-W does is it it trades the same amount through a different time frame. So like let's say let's say I don't want to cover the entire EXHL like right now but I just want to cover part of it and also I may not want to um do a huge order. I may just want to do a little bit so it over time so I can just say cover the 3 to 30,000 shares equally amount to the whole day.

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So it just cover it just buys or sells, you know, an equal amount through the rest of the day. So those those are what I use for these these brokers. brokers. brokers. >> Yeah. And one of the roots you mentioned was had had the word rebin it. So I'm presuming you're doing uh rebates. You you you're playing that uh that game of getting rebates on your trades to reduce your commissions, which is a big thing to keep your costs down. >> Definitely. Because you can because if if you Yeah. If you do more limit orders, you pay less fees. So I I often I I usually do limit orders. >> Yeah. And are you getting

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ACN rebates on that? that? that? >> Uh yeah. Yeah. >> Yeah. >> Yeah. >> Yeah. >> Was RMD does that. >> Yeah. Yeah. >> Yeah. Okay. And then with the I wanted to go over a couple trades here. So uh so there's the Let me go to my trades. These are just recent trades that I made. So let's go over this is kind of an interesting one. S AI. So, what what I did here now, you see there's different days because I I swung part of it. I I I I held it over over a few days and um now what's interesting is I I don't think you Yeah. So, I I didn't I might

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not have um covered it all the way in Interactive Brokers because uh actually I think I did. So, I wonder why it's not showing the Interactive Brokers on here. Um anyway, that that doesn't matter. I'll figure that figure it out. But um you you can see you can see that uh that the that I first I traded it on the 28th. So this was this was the news came out in the after hours. So I like trading the after hours and I shorted it and the news looked really weak to me. You know, I have a program here. Um, this is um News Edge and on the 28th the um the the the it it

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came out um so part of my strategy is I analyze the the PRs. So the PR came on the 28th in the after hours. So this is 405. So if you analyze this PR here, so it says they got a deal with Vision Tech Systems to sell their Sentinel Systems, which is like it's kind of like a luggage scanner like they have at the airport. So I did some research on this company. And if you're enjoying this level of transparency from Million-Dollar Traders, hit like, hit subscribe. Helps the channel more than you know to get more guests like this and more guests like this verified on Kinfo. And so first of all, it says it's

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a non-binding letter of intent. A non-binding means it's not a real contract. Like they can back either party can back out of it at any time. So that that is a little bit bearish right there. That that immediately is sort of like it's it's it's a little little bit bearish. They might have gone to Vision Tech Systems. They might even said, "Hey, do you mind if we just say we did this? We can put it up PR." And they're like, "Yeah, go ahead." You know, we can we're not we're not, you know, bound to buy it or anything. And then so um so then it says they they already had a deal deal deal uh

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for DY5 million that they made a month or two ago and they said the the value of the additional exceeds $1 million. Now that's a small amount of money for a company, you know, for a public company $1 million. So that alone gave me sort of pause. I'm like this this PR really is not worth much. I mean it's not not a big deal. And so um so it was up a decent amount. It was up about 50%, I shorted and then covered in the after hours. Then the next morning it it went up again on the 29th. So then I shorted it in the pre-market and then covered. Then they they put out extra

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news here um right before the open. You see this says 9:21 a.m. >> So they put out backtoback news right before the open. In addition to that, I got some information that they actually were paying a promoter. It's a paid pump. Basically, they were paying to promote the stock. What What did So, this this this one right before the open, it said that they um they got a a contract with Creek Source Consulting. They're sort of just promoting they're marketing their products. And and then it says here, this is now this isn't a sale. This is just saying it's a potential $100 million market opportunity. Now again, a hund00 million is not very much for

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like a market opportunity because that's like the size of the company itself and they're just talking about the entire market is a hundred million. So it says an estimated 100 million addressable market. So they're not saying like they can get that entire market. That's just what what they can address because you already get a sale. So that's not a very big number. Like if it said like a 100red billion that might be something big, but just a 100 million is not not very big. So, I shorted it um when it went up at the open and then it just went apeshit. I mean dur during the the day it just went up super high and

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and so I was shorting more at at a higher price to get a better average but I was still underwater. So what happened was basically I you know just to sum up what happened is the previous day I shorted like a$110 and then I covered at like 90. 90. 90. Then in the morning I did the same thing because it went back to A110. I showed it a$110. It went back to 90 cents. So then um with the paid promotion and this PR, it again went back to A110 with this new PR in the morning. Um so they had backto-back PRs and then it just and then it just went up to like a$150 the

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the high up there. And so I got in again at a$110 and then I added higher and higher. So, I had like max size and I was underwater quite a bit. I didn't I didn't get to my max loss of 200 million. I mean 200,000. I didn't get to not not not max loss. Yeah. Yeah. It didn't it didn't hit my It didn't hit my 200,000, but I was down six figures. I was down over 100,000 at that point. But I just looked at this company. I'm like I just looked at the Now also what what I looked too which um which I wanted to show you as well which I didn't get to yet

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is I got hot buttons on these um on the on the doss. So you go sti and um and if you just click on stock twits see it pulls up the on stock twits. >> Yeah. >> Yeah. >> Yeah. >> We can see what people are saying on the stock and and then if I want to look at the fundamentals I go to YF Yahoo Finance. So Yahoo Finance. Click that and then I can see, okay, so this company, look at the financials. Um, basically they they only made they made zero revenues in the quarter ended September 30th. They only made 365,000 on March 31st. So they're their revenues are terrible. They're losing a decent

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amount um you know, two two to three million a quarter. and they also have um a decent amount of debt 28 million and they also converted the debt to shares. So this is a good opportunity for the people that converted their debt to sell their shares like this runup. And you can see looking at the historical data, it it it is an extreme amount of volume, 319 million shares traded that day on July 29th. 29th. 29th. And so that was a good opportunity for the for the the debt holders to convert their debt and then sell their shares in the open market. So I held on tight. you know, if if I did hit my

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max loss of 200,000, I' i'd pretty much have to cover because I have that that rule. I might cover a part of it because I I did have a strong a really strong um bare case on this one. I was really convicted on this one, but um you know, luckily it didn't hit my max loss and that's sort of a lesson too. It's like the way I trade if it hits on max loss um often I'm just wrong. and and if I just was stubborn and not getting out on my max loss, it could reach a million dollar loss. So, but you know, like I said, luckily it didn't hit that and so I held

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it. I swung it and um you look at August 5th, look at where it was trading on August 5th, like 60 cents, 15 and 60 cents. And you can see here, I held it all the way to a good chunk of it all the way to August 5th. So, I made most of my gain by swinging swinging it short for a few days. But like can I just like because I understand the strategy that you're talking about and it's a strategy that a lot of short sellers try and do. They look for in hot markets they try and pick out the weakest stocks. Sometimes that can be by volume the stock with the the less

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attention because less attention it's less volume for it to run or for the worst fundamentals but you seem to be doing it better than everybody else because you're making $10 million doing it. So, and a lot of short sellers will make do well, do well, do well, do well, then blow up. So, like, what are you doing differently from from the other guys, do you think? you think? you think? >> Well, um, no, you're saying I did I did blow up, but a year ago ago, but I'm not I'm not blowing up now, though. Now, though, because I I am very very careful now. Um, but for me, I I think I what I'm doing

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better is I'm looking at every aspect of the stock. Like you look here, like I'm looking at stock twist. I'm looking at Yahoo Finance. I'm looking at delution tracker. You're familiar with delution tracker? delution tracker? delution tracker? >> Yeah, of course. Yeah. >> I mean that's essential, you know. I'm looking at um you know the previous news on Finn viz. Finn viz. You could go back as far as I'm looking at everything. I'm looking at what people are saying on stock twits stock twits and Twitter. Here's Twitter right here. So I basically look at everything going on. And like I said, I try to avoid shorting themes and I try to avoid shorting schemes. And

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in this case, it wasn't a scheme or a theme in my analysis. Now, schemes, like I said, it's it that's what happened with TOP T O where it it just the insiders, it's Chinese. A lot of Chinese stocks do this where the insiders are like, let's just buy up the whole float. Let's run it up, you know, 10x, 20x. Well, in Top's case, it was like uh it was likeif 50x. Um you know, let's just run it up and we'll just squeeze all the shorts and then we'll just sell. Once the shorts are squeezed, we'll just sell our shares. shares. shares. And um and and so by the way with with that with that um

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top I actually heard that um that happened in in April 20 2023 2023 2023 that the insiders they didn't buy any shares in the after hours and it went from like 20 bucks to 150 or 200 in the after hours. So the after hours just all short covering short covering short covering and that so it just basically runs on its own. I mean once you buy up the whole float often you can I mean you can just see the short squeeze just squeeze it squeeze it up if you get more shorts involved. involved. involved. >> You've seen this with like Elfin HKD like this happens over and over and over every now and then. >>

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Yeah. >> Yeah. >> Yeah. >> But like the million-dollar question now is how do you identify? You can identify a theme. It's obvious because it's in the news and all the sectors running. So you you know when a hot sector is running which is a theme, right? >> That's the sector a theme. Esteem is when there's nothing hot about it. It's just going up for no reason. >> You know, there's just there's just no reason for it to go up and and it's just people buying basically just to manipulate it up basically or just to squeeze shorts. squeeze shorts. squeeze shorts. >> Million-dollar question. You know the answer. No one else, not many other people

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do. How do you identify a scheme? >> You you there there there's there's a few ways to do that. I mean I I explain in the you know in my in my method um method but one way is to see who is behind the scheme. If it's some guy hidden in the shadows that could be a scheme. Now if you look at something different let's take of let's take a look at STI because like I said it's not it wasn't a scheme. So you can see um who owns you can see on delution tractor tracker who owns the um who owns like the warrants or the like if it's somebody that's one of them like

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for example armistice or like not not halala or like um few other you know funds >> HC win rates anything to do with these guys guys guys >> it could be that's but that's not a fund that's a investment bank but it maybe maybe they don't do schemes I'll have to look more into that. But if it's a fund that is just constantly doing these, you know, m micro caps just like selling the shares and buying, they don't have time to do to play games. Like once they're in the money on their warrants, they'll sell right away. So like if I if I see Armistice involved, I'll know it's not a scheme. scheme. scheme. Um

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it's it's the ones that are like unknown that do that can do the scheme. I mean that's just one thing that's just one way to figure it out. But um also of course you can't have um if if someone's doing a scheme they they can't be like having big holders that aren't part of the scheme or else the big holders just dump right into them. It's got to be um the the the holders need to be part of the scheme themselves. The big holders and usually insiders need to be a part of it too. It's something that they might have been playing for weeks. are like, "Okay, we're going to on this day we're all

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we're just going to buy it buy up all the shares, all the float and just run the stock up." It's like a few people, you know, just decide to do that. that. that. >> That's what a scheme is. >> Crazy. So you have identified exactly kind of the fundamentals which you can spot in the SEC filings of the typical players and the typical structures of a scheme and and you're going to identify and that's how you stay and that's a huge edge because you know the the shorts to avoid or wait to hit bigger later when the scheme's complete. >> Yeah, there's just too many opportunities to get get involved with is something that might

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be a scheme. If I think there's any chance it might be a scheme, I don't want to get involved. I'm like is it going up for no reason? and is it, you know, squeezing shorts? Like I'll just step I just won't get involved. Sometimes I try to long schemes, but that's that's another challenge. Um because you don't know when the scheme is going to end. Like at any time they could just drop it on you, right? So So yeah, I mean that that's another, you know, skill to try try to learn himself yourself. Um now the theme is is with what happened with the BMR. um go going back to where I had that uh

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that $5 million loss here in February. That was um they had a deal with Nvidia. Now, they they they previous PRs, they also said they had a deal invidia and the stock didn't do anything. And that's one of the reasons why I was confident at the time. But this Nvidia theme, we're just seeing over and over again, even if they're just using like an Nvidia product, just the word Nvidia can cause a theme. A theme. And that's just a bunch of retail traders just buying it up and people shorting and the shorts just get squeezed. And that's any theme. Now theme has to be like a big theme like a something that's big enough where

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there's a lot of shorts, a lot of longs and the longs will win and and the shorts just get get squeezed out of out of their position and as they're getting squeezed they're fueling the fire. They're like pouring gasoline on the fire and it just goes to like insane heights. Yeah. So, I try not to short those situations. situations. situations. >> I completely understand what you're saying. What what gets me is um a lot a lot of like well I haven't seen many charts that you've shown and I think that's that's quite I'm just curious how much is your trading kind there's a couple of things I want to say but how much is he

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trading like the fundamentals and just knowing what like knowing what you're trading knowing where whether it's a theme or a scheme or it's just a shitty company and you're going to take advantage of the pops on the news. How much of it is that and how much are you really trading technical analysis because you haven't showed many charts yet so I'm just curious is it more about this than the technicals? Um it I think I think overall um I would say it's the technicals and fundamentals. Um I think technicals are more important. Now know it depends what you you know fundamentals could be a loose term. You know does it mean the intrinsic value of

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the company or does it also mean a headline or you know who's owning it? Like it it's you know technical and fundamentals they kind of blur into each other a little bit what you're talking about but I think they're equally important. I mean, they're pretty close to being really important. I I might put a little bit more weight on technicals if as a trader. Um because certain times you want to, you know, you you need to wait in wait for the right timing. And that's what could that's what technicals can give you by looking at volume, time of day, um looking at the chart, all that stuff. Um whether it's market hours or pre-market or

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after hours, like all that is like technical um analysis. I I think what you cover I love your story by the way because you're a guy that's made I think you're in eight figures, right? You have 10 million plus. You just need to verify. >> Yeah, I made money that's not verified too. That's not a thing. >> So like you're up n 10 plus million. I haven't I haven't met anyone. But what what interests us about you is I've never like most trading teachers or most people who teach trading or give back into trading, they'll they'll double tops um short into resistance and then then maybe they'll talk about don't don't short lows, do short

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little lows, don't short sub pennies. They'll give all these rules, but no one and they might say don't short hot sectors, which is what you're talking about with the themes, but no one goes into the depth of how to identify the structure of what potentially can be a scheme. And I think that is could be what separates a trader who makes hundred couple hundred dollars to a trader that makes millions of dollars. dollars. dollars. >> Yeah. Yeah. I look at all that stuff too. I mean Yeah. Yeah. I mean all that stuff is definitely what way what you want to look at. Um you know short resistance resistance resistance cover at uh you know at

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support you know um I look at all that stuff too but it's just sort of it's just one piece of information in addition to everything else that I put in. like I want to get as much information as possible about a stock and I and that's what makes me a discretionary trader you know like a systematic trader um might have a few indications but a computer does everything and and you know they they expect to lose a certain amount win a certain amount but for me as a discretionary trader um I I know when when to get bigger size you know when to when to enter better and I I I I um I'm not

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saying being a traditionary trader is better than systematic But if you're if you're able to have a good method, I think I think it is better. If you're able to um know how to like change sides because a systematic trader will say, "Well, if you're using discretion, you're going to mess yourself up. You're going to make the wrong decision, you know, but I think you can make the right decision as a discretionary trader. discretionary trader. discretionary trader. >> If you know if you know what you're doing and you're good enough, you can." But it's it's like but what I what I'm interested in is like you're it's not like you you're like cut losses quickly

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because you you're letting us stop. It's more I think what I understand from your style is you you're really looking to the company. You understand the thesis and you have conviction and then the stop isn't like oh I'm in and I'm out for 2%. You you you're going with conviction and believing in your bet right right right >> and then if it doesn't work you loss. Sometimes I do could cut losses quickly like um like for example um with with this recent one in MXT I I I come last night and I got in at a higher price. That's that's I think that's something you you you do want to aspire to do like if

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you're pretty sure that you get a better price later and um you know and and and the uh volume's not an issue or you know like the sizing is not an issue, you do want to get out and then get get in later if you if you got in too early. too early. too early. >> Yeah. And but so I mean you're looking for a lot of the because I think what gets me is I think a lot of traders are kind of nearly at the level. You you said it earlier in the interview. A lot of traders are nearly up in the level but they just need to do a couple of things. A

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lot of short sellers know how to read charts. They know about exhaustion candles. They know about death candles. They know how to find entries but they keep on getting sucked into the wrong stock. That's a scheme. And I think or they somehow get sucked into a theme because they didn't they weren't aware that a hot sector was just about to develop or something like that. And I think you're helping shorts avoid the blowups to me. >> Yeah. I mean that that that's part of, you know, part part of what what part of the whole system. I mean, discretionary and you saw I had a couple blowups before and I still have them with at a

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lesser level now. And it's it's that's part of being a great trader is learning how to avoid the blowups because there's no point in like getting, you know, 10 trades in a row correct and then the one loss that that's bigger than all the 10 wins you had. You know, that that's a fate that a lot of short sellers run into. They'll like have 10 small wins and then one big loss is going to wipe out the 10 wins. I mean, what's what's the point? You know, you you have to be able to avoid those big losses. >> I mean, and that's that's show that's showelling though, right? like you're trading shook small caps. It's

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a fundamental market where 99% go to zero and then in the end they go bankrupt. So it's not a hard game to short companies in small caps and expect them to go down. What is a hard game is not blow your account every two months. >> Yeah, >> Yeah, >> Yeah, >> that's the art. >> And you know and longs go through similar things too like longs can be brutal where like I I you know the stock can just keep falling and falling and falling and you just can't get out. Like I I've tried I go into that myself like when I when I long something I'm like oh my god I can't get out

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of this. It's never it's not hitting my price. I have to keep lowering my price. So um I think longs into the similar thing where like they could have a lot a string of wins and then one big loss. >> You get an incredible amount of detail. We've gone like 30 minutes on trading examples alone. Do you have any other examples that you want to run through or or do you want to kind of close it out and people can uh and people can look on your website? We'll put the link in the description below if they want. >> Um, no, I think it's good for now. I think that's enough. Um, yeah, if they

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want to, um, someone wants to go through examples, they can contact me directly. I can, you know, if they want to look at my info because I show my trades on there. I can explain to them, you know, how I made a certain trade and, uh, you know, we can go over the the strategies of it. of it. of it. >> All right, man. I I don't think we've ever had anyone who's been up the amount of money that you are up who has given so much valuable information and give so much back. So, thank you for that. Thank you for your transparency. Um just a quick question like for someone who wants to get

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started get started get started like for someone in the first couple years of trading losing what's your best advice for them to obviously go on your Discord and click and learn but other than that like do you have any advice on how to get started the way from lessons you've learned in the past? Well, I'd say, you know, find a mentor, find someone who's successful and kind of um try to emulate what they do and not all not all gurus are successful. You know, maybe they put put it on their Twitter, but um you know, in in reality, they might just it might just be a facade. So, try to follow someone who's successful on

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a regular basis. They still, you know, trade a lot and you know, they're trading. They can you see they have verified returns like on Kenfo. And um and I would also say um realize it's going to take a long time to get good at trading. Uh you know some people it takes years. I mean it took me years. It took me at least you know five years to become good at trading. And so you don't don't go big. Don't blow up your accounts. You know make sure you're you're profitable for like for several months before you increase your size. And once you figure out you know that you are profitable and consistently profitable then you

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can increase your size and get exponential gains like like I said. But um yeah, I'm I'm helping people out. Um you know, like one guy here um Puerto Rico, he he quit his engineering job. Now he's trading full-time uh you know, under my my help. And um yeah, and like I told him, I'm like, "Yeah, keep it really small. I mean, expect to lose for a while and then and then go go big because I'd hate to see you like have to take a mortgage on your house or something after losing losing all your money um trading, you know, try to make it last and give it maybe assume it might take a year to

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get good." Um, some people pick it up quick. It only takes a few months, but some people can take a year or more to get to get better. So, make sure you've definitely have a good profit before you increase your sizing on it. >> Uh, Adam, it was a pleasure to interview you. You've done some incredible things and and thanks for everything you give back. back. back. >> Yeah, thank you, Stephen. [Music]

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Next Verified Millionaire: How This Trader Turned $1K Into $800K Using VWAP

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📅 Uploaded: 2026-04-09

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⏱️ Duration: 0:57:51

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👁️ Views: 9,994 (Rank #1 of 1)

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💬 Comments: 48

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📼 Playlist Progress: 1:55:42 of 0:57:51 (200.0%)

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👉 Check Xavier Comas' performance on Kinfo: https://kinfo.com/portfolio/27452/performance

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👉 Learn more about Xavi: https://xvntrading.com

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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Verified 6-figure trader Xavier breaks down how he went from a $1k account to nearly $800K - not by using some complex system, but by learning how the market actually behaves and adapting to it.

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A big part of his edge comes from something most traders struggle with: being able to switch bias quickly. He’s not trying to be right - he’s trying to react to what’s happening in real time. That means going long, going short, and sometimes doing both on the same stock… depending on who’s trapped and where the pressure is.

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We get into:

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• Why he focuses on bounces and extensions

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• How he uses VWAP without overcomplicating it

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• How he can be wrong on the idea and still make money

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• The shift from COVID market conditions to today

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There’s also a couple of chart breakdowns where you can actually see his execution and thought process in action.

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If you’ve ever felt stuck forcing trades, or holding onto an idea for too long, this episode is for you.

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📖 Chapters:

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00:00 Intro

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02:10 Starting out and early losses

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04:40 Prop firm experience in Barcelona

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07:20 What actually made him profitable

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10:00 The core idea: understanding direction

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14:30 VWAP, volume and trade selection

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18:20 Switching bias (long/short)

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25:20 How he manages entries and bounces

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33:10 Risk, discipline and big losses

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45:00 Chart breakdowns and live examples

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✔️ Follow kinfo: https://x.com/Kinfo

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✔️ Follow Xavi: https://x.com/xavier_comas

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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🔴 Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal #trading #daytrading #stockmarket #smallcaps #xavicomas #traderpsychology #jonk87 #chatwithtraders

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What's up, guys? Today is a very special episode for me and hopefully for you, too, because in the 8 years or so that I've been I've been I've been interviewing people, there's been very few times that someone has been so willing to give so much knowledge uh just for the sake of of giving back. And Chavi is a rising star in the Spanish trading community. I've met him at events in Madrid last year, and I'm super glad that we finally got the chance to bring this top top top trader onto the podcast. So, what you're about to see is definitely going to change the way you trade. Chavier, we'll take it away. >> With almost

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$100,000 in the last 3 months, over VWAP, we'll try to look for longs. And if it's under VWAP, uh we'll try to go for for shorts. >> So, this is stuff I've never even thought of before, like this kind of psychology. psychology. psychology. >> So, when the stock goes extended in one direction, I try to look for the bounce. >> People will say your charts look pretty crazy, but when you explain them, there's total method and sense to the madness. madness. madness. >> It doesn't work, I go short because the the trend uh can be changed. So, I I short here, cover. When I make a lot of money, it's when the bounces are big

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and the drops are all also big. I can be wrong in my thesis and still make money because of these bounces. >> I feel like you're giving too much away, Chavi. You shouldn't be on this podcast. Welcome to Undiscovered Traders, and today we welcome Señor Chavier Cormes. Welcome to Kinfo. We finally have you verified. verified. verified. >> Yeah, finally. Uh I celebrate that uh a lot. I was waiting a lot of time to do that. I'm very happy for the Spanish community and all the trading community to give more transparency. more transparency. more transparency. >> I know you I think you've made more money than this, but we have you on our records as verified

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558,000. And that's with almost $100,000 in the last 3 months, which is pretty incredible under the the recent trading conditions. conditions. conditions. >> Yeah, >> Yeah, >> Yeah, um I started trading in a prop firm in Barcelona in 2020 when the COVID market started. started. started. And I started when it was called The Trading World and you I can't get verified and I can't even get my trades from that period of time. And the market changed in 2022. Uh it was a very a very very similar than what is now. Like we had less opportunities and everybody was seeing the same and the stocks were getting crowded in the short side, so it was more

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difficult to make money on the on the short side. >> Today, I guess I'd like to just go through your backstory a little bit, kind of touch on the trading conditions and and how you're operating differently to the 95% of traders who are losing in general and in the world and then and then in a bit later we'll we'll go through a couple of charts and some examples of of your trading and maybe we'll we'll we'll I noticed that your profit curve is a particularly uh sexy. It's particularly uh smooth. If you can have a go at it, it's sexy, it's it's smooth and it's straight up. You don't take many losses, so what what

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was how did you get into trading? What what was the story? You always into it or >> Yeah, let's let's do it. Um so, when I was in college, I was studying industrial engineering and a friend of mine, he knew that I was interested in economics and he recommend me a book and that's where I discover uh the stock market with a book and then I said, "Okay, the the stocks I like this this uh the stock market. Let's study something related about it because I was studying natural engineering and it has nothing to do about it. And I started to study economics. economics. economics. Nothing about the stock market was on the on the

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subjects I was taking. And then I started looking for internets, uh, and some mentors. I I started my first, uh, account of trading in 2018. It's a CFD broker, uh, very bad experience there. I lost everything in 2 months or something like that. And then I said, "Okay, let's let's stop here." Uh, and once I finish my my studies and I have free time, I'll I'll day trade because I kind of that I lost money before because I wasn't on the screens. I was missing some meals and blah blah blah. So, I felt that if I was going to be in front of the the charts, I would be able to make money. And I

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spent a a year and a half day trading in US stocks and I was trying to look for breakouts in in large caps, but didn't work out for a year and a half. And then, uh, I started looking on on LinkedIn for traders and I found the manager of a trading floor in Barcelona that they they were offering a day trading course. Uh, and that's when the COVID market started. It was in I was 2020. was 2020. was 2020. Uh, Uh, Uh, I paid at them the teaching course and I started trading with them in the prop firm. firm. firm. That was the first time I saw real traders trading together in a little office

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in in Barcelona. They were like 10 people. During 2022, everything exploded and the results of all the traders were extraordinary that the office grew up to 50 traders. So, it was kind of cool to see all the process. >> You You was I guess So, did you finish your your course in economics? You finished it? Yeah. >> Yeah. I started trading and I had 2 more years before I ended the economics degree. And And And in the meantime I was day trading and my dad, 6 months before I finished my economics degree, he said, "Once you are done with your economics degree, you're going to find a job or or stop day trading or whatever.

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Uh or you get the results from day trading." I mean, it was just the right moment I found this uh trading office on Barcelona that I started making money. So, my parents were were happy about it. >> You're from Spain originally? You're originally Spanish? originally Spanish? originally Spanish? >> Yeah, exactly. From Barcelona. Well, not Barcelona, a town an hour from Barcelona, but yeah, I I I used to live there. there. there. >> Um I'm just curious uh cuz I'm I'm reading a book by uh Ray I don't know if you've heard of Ray Dalio. Uh yeah, the main top top invest top top He has Bridgewater hedge fund hedge funds. Um I He's retired from

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there now. But I was I was reading a lot about economics from him and different economic cycles and how you have like short-term debt and then you have long-term debt and then eventually there's too much debt and you have to go through different processes with the with the economy. Did you learn that that kind of thing or does economics at all help you with your trading or >> No. >> No. >> No. Um Um Um yeah, everything I learned from the economics were about economic theory and supply and demand and and these basic things. things. things. Uh some accountability but nothing related to with stock market. The bad what it gave me was discipline because

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I was studying that this this this career online, so I had to study on my own and I had to schedule my everything everything everything so I could get everything done on the right time. right time. right time. And also the logic process I learned in the economic in the industrial engineering program, engineering program, engineering program, it gave me a mental structure to solve problems problems problems that that that and try to find the logics on everything that now that I'm day trading, I try to do the same. And try to find the an explanation of why it should happen or why not on and again the discipline because I had to spend hours and

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hours and frustration because I I had some exams that failed and then I had to restart it and I and take the exam again. So, that's that discipline and resilience was given from my education. >> I think that's really important though, isn't it? Like don't don't ever accept anything just because you are told it. You have to question and understand why everything works because it all connects. >> Yeah, exactly. >> Did you turn profitable in the in the prop firm in Barcelona? >> Yeah, since day one. But, it was >> What did you trade or what else? >> No, no, don't go there anymore. Uh like the strategy the market changed and and and we

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were doing our We bears. We bears. We bears. >> Um >> Um >> Um >> Uh we were trading What? What? What? >> I I thought you were going to say mean reversions there. reversions there. reversions there. >> Yeah, mean reversion. Yeah. >> Is that right? Yeah. >> Yeah, that's I mean it it wasn't what they told us, but it's kind of the what it is. Uh mirror version of Starship. What we tried to do was shorting everything front side. We didn't care about anything about any news, about the float, about dilution, about about about uh uh uh anything. anything. anything. Uh we just look for volume. Yeah, and in the COVID everything had huge

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volume. There were a lot of oscillations between them same uh 1 minute candle, so we could get in and get out a lot of times to manage risk risk risk uh the the risk of the position. We were like monkeys pressing buttons. Uh Uh Uh and it worked and it was because of the huge volume we have we had uh in 2020 because of the COVID checks and every everybody on Robinhood or this kind of apps. But then when the interest rates went up in 2022, that volume was disappeared. So the strategy instead of covering in the pullback because we when the price was going up we were short and coming covering the position on

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the pullback. pullback. pullback. So with less volume the pullback was lower and sometimes there wasn't any pullback. pullback. pullback. So you put just add add add up to the position position position and it was like a martingale martingale it or it or it or >> Yeah. One way or the other. >> Martingale. Yeah. >> So that's crazy. So it's like a professional prop firm with an office set up in in in Barcelona and they they basically weren't recommending that people just trade on volume and and that's it, but it was working. >> Yeah, that was working and uh at the same at that time I wish I understood more about the how the market worked

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because I was talking with some good traders in Spain like El Mosquito and Jordi Pamies. I'm sure you will know them. them. them. Yeah. And they were freaking out while we were making money without looking anything and just pressing buttons. Uh And and they thought the Mosquito from there there there You you originally know how those days are. are. are. Yeah. Yeah. Yeah. Yeah. He and them wasn't with Jordi. They wasn't trading on the prop firm, but I don't I know them from years ago. Yeah. Now, wow. And they were crazy seeing our numbers and without any knowing anything and looking at the flow of the meals or Yeah. Just pressing buttons like a monkey.

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monkey. monkey. And like everybody was making money. Yeah. Yeah. Yeah. And like everybody was making money that we didn't question anything. We just execute and trust what was working at that moment. So So what did you start with in the beginning? beginning? beginning? Uh I with with your small account when you started and and how much have you made up until now? Um yeah. Like I started with 700 euros. euros. euros. And now And now And now it's almost it's almost it's almost 800,000 800,000 800,000 800,000 800,000 800,000 dollars. It's an absolutely insane transition. Yeah. The million The million dollar question is what What does the heavy What does the Xavi Comas know now know

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now know now that it that the Xavi Comas in the Barcelona prop firm didn't know? What's the difference? the difference? the difference? Yeah. So the difference basically is understanding understanding understanding why things tend to go in one direction or the other. And that's something I learned from Edu Edu Trades. Uh like he was recycling shares like me, but he understand why something or some shorts were crowded and stop going short and as the short was or that the short sellers were in pain to switch to buy us and go long. And that's something I was uh, chasing all the time that the stock to go short and if it doesn't go down they killed me.

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>> Wait, uh, wait a what? I I was still thinking about your $800,000 $800,000 $800,000 from $1,000. It's crazy. Can I just say it for Can the people in the comments when watch the video or be watching the video at this point just write in one word what you think of of Xavi's $1,800,000 $1,800,000 $1,800,000 record? Because it's pretty incredible. So just leave a comment to say what what you think of that kind of progress and and a thank you for coming on because you're coming on to share knowledge Yeah, free. So I really appreciate that. But sorry, just just if you go on Like how I I I never get this cuz Edu as

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well, I've watched Edu trade live. I've watched you trade live. Like what you Sorry, if you can just say it again. Like what How do you know the direction of the stock? Cuz like I see Edu like Edu like Edu like go long and go short and go long and like like like how do you guys know? When something it has a lot of volume, so we so we so we we read that like there is a lot of demand on the stock. So if it's over VWAP, we'll try to look for longs. for longs. for longs. And if it's under with VWAP, we'll go we'll try to go for for shorts. Um, that's like

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one of the main things. And then And then And then the market cycle it's very important. Now, uh, the 2024 doesn't have anything to do with 2025 and doesn't have anything to do with 2026. 2024 we had a a hot sec a hot market. So, we didn't have a lot of reasons to to buy. I mean, just looking for something that was going up. If it had news and it had more volume and no overhead resistance or no bag holders, etc. etc. etc. Uh that was more likely to be a a long. But, we just bought everything that was going up. And there was uh at that time all the bears caught bears were making

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a lot of money. So, on the on the stock there was a lot of noise. So, the when there was going up aggressive down aggressively, it had a pullback. So, that pullback was very helpful for reciting shares. So, buying and selling on the pullback and buying again when it goes down. I tend to to bounce again. So, we try to go to the trend. We're going to buy these dips when something it's trending up and it's breaking up with a lot of volume. And again, if it's over view up, sometimes we'll go uh uh uh we'll do a view up bounce. If the stock goes under view up, we'll we'll cut the position. For example,

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like this view up bounce doesn't work. It's a a company that had good news or it had everything for the long. And it's going in the opposite direction. direction. direction. All the longs are trapped. So, that's a selling pressure that when the stock tends to tries to to bounce, I like to short that because every long trader would trader would trader would it's going to sell because he has a losing position on the long side. And then we switch bias this way. And the same time when we try to short something and it doesn't stop and it's going up up up. So, you know that the the ones that actually into short that they are

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going to be screwed. Like yesterday in U R U R G O Yeah, it had a a crazy breakout and the stock didn't go down because everybody was trapping the short side and we have now a a market condition or market environment that it's kind of easy to make money shorting. So, a lot of traders just short everything it goes push up and just wait for for the fade. And when it doesn't work as higher highs, so and there there is a uptrend, that's where the pain starts from the short side. So, we try to make a long. >> Yeah, and I've I've I've I've seen you take that exact trade. I remember being I

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think it was with you in I think it was Yeah, the trade. >> I was with you Yeah, yeah, right. Yeah, that that was kind of the same. >> Do you remember? And yeah, there was a stock like I think it was about 2:00 in the afternoon and the stock was like squeezing above VWAP and I remember saying to you, "Is that Is that a short because it's like it's pretty extended now?" And you're like, "No, no, it's a long." And I'm like, "But you're buying You're buying pretty And And you're like, "But if it goes even higher, it's an even better long." Yeah, I was thinking >> everybody is more is losing more money.

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So, they have to exit the position more with more aggressively. >> It sounds so simple and it probably is. So, like you're looking for the typical Obviously, the market With the market environment, starting with that are you just looking at like how strong the market is? Are you looking at like more macroeconomic factors of like the interest rates need to be lower, the bond yields need to be lower, something like that? like that? like that? >> Yeah, I I just trade small caps, so this kind of macro news doesn't affect where I trade, but it affects to the money flow. I mean, what I mean is that if there is a a a uncertainty in

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the the big investors have us in certainty, it doesn't mean the average investor doesn't want to risk the money. So, it's more difficult to pump a a stock. That means that it's going to be less opportunities like like we have these these days or this year we had had had uh low opportunities and when we have low opportunities, everybody is looking at the same tickers. And it's very easy to for these tickers to get crowded on the short side. So, everybody looks for for the short like like it's well-known that small caps are or the semi 80% of them close red on the day. So, a lot of traders just look for that and that

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makes everybody looks for short. for short. for short. So, I tend to to look what a stock it's strong on what the stock is weak. And to go long on the strong stocks or when they were breaking out uh with volume and go short to the stocks that uh are weak. And I tend to to understand not just traders like me, but more traders like uh how they trade in this kind of market and a lot of traders in keep in Twitter where saying like a zero ocean and and nobody's making money and that make me think that uh like the all the 2025 has been very good for the short sellers. So, a lot

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of people is going to have this mentality uh on shorting everything. So, So, So, I tend to not not short what's crowded or the stock that has a lot of volume or target when the long doesn't work. That's a good short. >> Yeah, so just just so I I it is crazy first of all that a lot of people on X are saying that they're not making money and it's the hardest I've ever and like you have a strategy that does make money and it and obviously going to show how it and a couple of charts in a little bit but just so I understand this cuz it seems quite simple. So like I don't

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want you to give everything away but like just the basics is kind of like if it's above VWAP but it looks like a good setup uh with good catalyst, good strength, good whatever good volume, you'll take it above VWAP and then if it's the opposite, you'll take a short below. >> Yeah, actually or some sometimes if there is a stock with a with a low volume that it's maybe 120% up like yesterday AHM A I think it was. Like it was going up with new without news. news. news. Uh it was 120% or something like that. And it was a Chinese stock. So I said, "Okay." I mean if the average stock doesn't go up

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up up or higher than 100% in the last 3 months and it doesn't there is no more volume coming up coming up coming up it's going to be a short. Um because nobody is going to demand this stock so it's going to go down. Just because that doesn't make any sense. sense. sense. Uh the problem is if you short the stock and then the volume starts coming up uh coming in and that's when I have to change my mind thinking that my thesis is wrong because my thesis was based on that's a short because it's very a lot of uh a huge percentage. It's like 120 or whatever. whatever. whatever. It's Chinese and it doesn't

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have to be a lot of with a lot of volume. If the volume comes in, the thesis is wrong and I have to switch my my my to close my trade and uh start maybe a long position. Um but definitely to stop uh shorting a stock. stock. stock. >> Yeah, I think I think that's a really big psychological difference towards how a lot of other people trade when I think about it. It's This is stuff I've never even thought of before, like this kind of psychology. When people say, "Oh, someone's married to a stock." Like that's a common don't be married to a stock. It's like It's like an old It's an old lesson, right?

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But a lot of people do get, especially in times like now where they're not making money. Like this has to work. This is God. >> Yeah, yeah. They're not anymore and more. >> Yeah, like it's got to kick. >> I put on you. >> I know there's a big thing with energy right now in the in the Gulf of Hormuz. But um But um But um I think you're entering a trade, correct me if I'm wrong, but you're entering a trade and you're like you're saying, "Okay, it's above VWAP. It's got lots of volume. It's a long, but I'm going to watch the energy on the tape. I'm going to watch the the level two.

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I'm going to watch the strength of the chart and I'm going to wait to see if I'm wrong. And if I'm wrong, everyone else is wrong and I'm switching where others would stay married. stay married. stay married. >> Exactly. >> Exactly. >> Exactly. Yeah. Yeah. Yeah. Uh that's basically what I do. Like the psychology and uh Like this principle, it's very important and I will always think why I can be wrong before the trade goes against me and it goes under VWAP. I try to think if there is some signal I can be aware that uh stops me from being in that direction before it goes under VWAP. >> Yeah, but it's like you have

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three outcomes when you enter a trade. Uh Uh Uh like say if you go along on a trade above VWAP and it crashes and it hits under under under you're you're that right, but you have to wait. to wait. to wait. You have to just do nothing because you're not sure. Are you wrong and you need to go short? So So So how do you know which decision to make because so many people are long and then they're short and then they're long and then they're short and then they lose their way. It's like how many times does that happen to people? How do you avoid that? that? that? >> I uh when I get

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into a long position I do it buying the dip. So when the stock goes extended in one direction, I try to look for the bounce. So if there is no bounce and if there is no bounce in 5 minutes maybe Yeah, I know that maybe it's because somebody is selling and then it doesn't let the stock goes up. So that's one signal I say, "Okay, I maybe if it doesn't bounce I'll just cut my position. And and then when the stock proves me that I was wrong Gus is right and I stop all my position in VWAP. in VWAP. in VWAP. But I switch my bias uh there, but I my my entries are on

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the bounces. So the stock has to go to bounce again because yeah it may happen that I got short on the worst price possible and then the stock uh Yeah, exactly. And then the stock just goes on my against me. So I I wait for that bounce to short for the people that were holding the the position of less loss or they are making money on the bounce. So they sell and then the stock goes down. down. down. Yeah, I'm not sure if I say or English >> No, it makes full sense. So, like you you're waiting for a strong stock to push. You wait for a pullback. You go along the pullback. If the

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pullback isn't as strong as you expected, you'll cut it. And then if it does crash down, you'll wait for a bounce to get short in and then you're again testing the strength of that bounce. Short is it too strong? Is it not strong enough? >> Yeah, exactly. Exactly. >> It's very I feel like you're giving too much away I feel like I couldn't have you shouldn't be on this podcast. It was it's too late. >> I have a Jewish mom. >> Good. >> Good. >> Good. Is there anything else? I like cuz I was with Edu where I was trading with Edu in in in in Poland and I was trading with it. I wasn't

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trading with him. I was just with him in his hotel room cuz I was at an event with him. And Edu was like oh, this is this is a kind of Fitzgerald or this is a this is a X type of market maker or X type of um person that facilitates its deals for pipes or funding or something like that or dilution. Like HC Wainwright is one of the guys. Yeah, it's like when when HC Wainwright do this, the chart often is like this. Does that make any sense to you or >> Yeah, he I hear him talking about that sometimes, but sometimes, but sometimes, but to be honest, I don't know anything about dilution

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and Yeah, maybe years ago I tried to you know more about the dilution and it looks more random for me. Sometimes you you can expect either the stock has a huge ATM or or you know, ever Yeah, so you can expect some expect some expect some that that the stock it's not going to be good for the long. >> It's hard as well though. I mean you I think really like I I don't want to name any platforms, but I've paid for and used a lot of different platforms and I feel like I get different amounts of months cash left on each platform that I use and use and use and it's like I'm not

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sure how authentic the data is that I'm getting and then if the data is incorrect and you go short a bunch and they're not diluting then it's terrible. terrible. terrible. >> Yeah. >> Yeah. >> Yeah. >> So, yeah. >> For me it makes more sense to detect to know where to detect the back holder. back holder. back holder. So, So, So, in the in the in the to know where people bought in the past. So, when the stock goes to these prices again, they will be more likely to sell. >> Yeah. >> Yeah. >> Yeah. >> And that makes more sense for me for shorting the stocks and dilution. >> And it's more than likely

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like a much bigger audience as well. Like there's like if you have 15 million people want to get out of a stock cuz they're trapped, it's much more than 2 million. >> Yeah. >> Yeah. >> Yeah. >> dollars raised. >> Yeah, well, whatever it is. >> Sure. Yeah. >> We'll get into some charts in a in a minute, but I just I just want to check with you cuz like is your strategy kind of that simple or is there much more to it without you going too far? Like is it much more than what you've outlined? >> I mean there there is a lot of practice on on that and a lot of experience that

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on on paper it's difficult to show that on paper or in in a podcast. And that's why I used to stream everything on on my Discord to show to show to show all the details that are not going to be in the playbook. So, I wouldn't say it's simple. But But But it's not difficult. >> Yeah, I think it's not difficult. >> The process that you're following is not it's not some complicated multi >> Yeah, I don't think so. But But But it's sure that sometimes you have to match match match two concepts very fast. Yeah, I don't know if I said it right. >> Connect two things quickly. >> Yeah, you have to connect

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things very fast and fast and fast and I remember I remember I remember what happened with this stuff two months ago or and that's not on the playbook or that's not on not on not on on this podcast. So there is something that it's not as simple as as we speak. Yeah. speak. Yeah. speak. Yeah. >> So so tell tell me quickly before going to the charts like this Iran this how would how have you changed your trading because of the Iran-USA conflict because you're the only person that I've seen like Eddie as well obviously but like you're one of the few people I've seen making money. So like is it is that like like

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like like oil is really really hot. It's a hot sector. hot sector. hot sector. Let's let's move into those stocks or how are you trading? >> Yeah, so my first thesis on on the war was everybody is going to be very excited for buying oil. >> Yeah. >> Yeah. >> Yeah. >> And it happened like uh in June or July that it had like the US bombed Iran. Nothing happened. So and like Trump said that that would be like four or five week war and la la la I said okay maybe it's not going to be much different than it was the last time. So I was not trying to short everything but when the

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stock wasn't showing that it wasn't a long a long a long I was going short to take the money from these traders that went long for the excitement. excitement. excitement. Yeah, so first of all I started to to trade like these tickers, like not believing on on the long side, but I wasn't going to to short everything. And then, I was like the opportunities were lower because a lot of people were looking for the oil and and the gold and silver and these kind of assets that I don't trade, so the opportunities were lower. lower. lower. And the volume was as was lower as um also. also. also. So, I tried more to to scalp

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and not to hold a lot of positions. Like today with Bubs, BABS, it was a short, but it wasn't going down. So, if it doesn't go down, I wouldn't marry the stock because a lot of people is looking the same like me. me. me. And these recent days and weeks, a lot of Chinese stocks has been pumping up and dropping crazy since from the highs, like 80 90% from the highs. highs. highs. So, a lot of people was looking for for the same movement on the short side. And in Bubs, I said, "Okay, I I don't want to be in this war because there is a lot of eyes on on that." And it was

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trading like 400 million volume. So, I was trying to not be on the crowded the crowded the crowded with what was obvious. And I was trying to when the when the oil and these stocks were going up, I was trying to short for for a few days, like in VIATL. Like I was trying to short for a few days when it was in 29. And I got a news pending pending pending in pre-market that I was the first time I got that in my life, and I was kind of nervous because I didn't know what was going to happen. Luckily, it was a good news. I mean, bad news for the for the stock holder,

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but good was a for me because I was short. And then And then And then the next day I was short in another stock and it was another news pending. So it it it was kind of weird this this month. this month. this month. >> You have a community now? >> Yeah. Uh yeah, I have a Discord group where I I stream everything with my students and we review the the trades uh they do with uh some pro traders that are uh trading next next to me. It it does start when we were like a little group and I was uh the more experienced trader and they they were calling the lots of Vineta and

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it was it started like a joke basically and now it's uh it's a name of our group. our group. our group. My goal there is to be transparent with everybody and showing every trade I I do and uh trying to resolve every doubt um the student can have. >> And I guess I guess it's is it mostly Spanish or you've got some South American in there? Any Brazilian? Yeah. >> Uh I don't I don't think so. Yeah, but I have some people from mostly from Spain from Spain from Spain and then some people from Argentina, Colombia, Chile. Colombia, Chile. Colombia, Chile. Like I said to you when I was starting my trading career in Barcelona

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that it was a trading uh group of people uh pushing each other uh to size up every every week and it was like a a challenge between your mates who was making more money and who was having a better performance. So it's not like we compete between us, but seeing other traders next to you and because everybody posts their their trades and the P&L and and seeing uh he made that money hour and maybe it's something somebody that started that started that started with you. So, that gives you more energy to to say, "Hey, that's possible. Let's let's push it and let's do it." >> I guess the way you trade is like you can

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go long, you can go short, you can switch. I see you trading a lot of tickers, trading a lot of volume. And you seem a very calm, kind of composed person. So, person. So, person. So, I guess you're the right person to be a trader. But like, did you learn that? Or have you had some massive loss in the past or past or past or >> Yeah, so um I encounter 99% of the time. Sometimes Sometimes Sometimes when I don't get filled like today on on URG, on URG, on URG, uh UGL, sorry. But I was going to be short and I posted a an order and I didn't get filled. Um Um Um I

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was grateful years. And sometimes I get emotion. Uh when something like that happened because it was like a a super fast win and I couldn't take it. I get frustrated sometimes, but um I think it's experience with time that you learn from to to keep calm, to accept losses, accept losses, accept losses, to trade uh the position and not the money. money. money. And I think when I first started, I was years years years away from where I'm now in terms of emotional control. emotional control. emotional control. >> Is that have you read any like trading books that have helped you or did you do anything in your life or it's just time? >> No,

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it's just time. Um frustration. Um frustration. Um frustration. Like when when you've been frustrated for the same reason a hundred times the hundred and one is less frustrated. And when it's a thousand, so maybe you don't care about it. >> I had the worst discipline if anyone ever. And like it was just him. Like I I remember with my trading I turned $600 into over 100,000 in 2021 and I was like really like I've got it. I've got it but then 2022, 2023 like shorts started going higher and higher and higher and that's what I was doing. Oh yeah, um but my discipline I just couldn't cut a loss. Like as soon as I went

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down 2K I couldn't I just thought I don't want to lose 2K and I was in this loop if forever if forever if forever not able to cut. And I I had to stop drinking. I quit drinking alcohol. Um and um when I quit drinking alcohol I took 6 months off, stopped drinking alcohol alcohol alcohol and started living a more disciplined life and I've not had any bad losses in about in about in about 8 months? 8 months or something like that? that? that? >> Yeah, that's that's crazy. Um Um Um >> But I I had to change everything. Like I loved to I loved drinking bottles of wine. Like Like Like it was my

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favorite thing to do was to drink two bottles of wine in a night. >> That's very hard. That's very hard to do. To do. To do. To >> Yeah, like uh uh uh um one of the things I learned in this uh day trading office in Barcelona was the max loss was a thing that was unchangeable. And yeah, I did change it. Uh Uh Uh and and and my second and my third biggest loss was for a lack of discipline. So, I had to learn it for uh the hard way. I had a a max loss. At that time we you didn't have like a auto liquidation or you had 1 minute after you reached

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that max loss. After that minute, if you didn't close your position, the max loss was executed. Uh I remember in 2022 in 2021 when Trump and um two social company it was at that moment the work. the work. the work. So I was short there this stock because it it was going up and all the sympathies sympathies sympathies at that moment I didn't understand anything but now I see that's crazy. So I was as it was going crazy I was starting and I reached my max loss twice. said the manager to set me a higher max loss. So in two days I lost 44 or 45 thousand dollars and it was the 25% of my

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profits from there. And I said okay and it was in two days in two days in a row. And I said okay that's crazy. And if I keep changing my max loss I may be broke or I may lost 80% of the profits and I may not be trading anymore, you know? >> Something eventually clicks. It did for me anyway. Something and obviously we can all make mistakes again and it's super possible but something clicked within me that said if you stay in this trade now that it's gone wrong it ends up worse more times than it ends up better. And you you only you're only making a big mistake. And these are the things

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that separate profitable traders from losing traders. So just get get out. out. out. Just get it out. >> And sometimes what happens is that you hold a position, it's wrong and then the stock goes down and you said okay that's lucky I did I did it and it's a a bad habit with a good feedback. good feedback. good feedback. And I have another story you be before uh trying uh just before uh learning from Edu. Like 2 days after uh before that. I was shorting a stock called ADTX. And I shorted when the stock was at 20. Because it was like 200% up or something like that. And I said, "Okay, my stop loss it's

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going to be at 30." But at 30, the stock was even more up. And I said, "Okay, now it's a time and it's going to go down." There uh no way it was it keeps going. So, the stock was halted to halted. Uh and it reached like 70 or 75. I was losing huge money. huge money. huge money. I was praying like, "Please, God." Just asking for one. Finally, I got a halt down. It was from 70 or 75 to to 40. My loss was 80% less or something like that. I knew it was wrong and I never did it again, but uh that bad experience make you know that everything is possible and you

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have to be one step ahead of that. Like shorting China pre-market stocks. Uh you know that it can be crazy and and it could be like PLYX, I think, in English. It was going to $2 for to 16 2 minutes or something like that. that. that. >> A lot of the times when you cut a loss, it will go the direction that you wanted it to and you would have made back your money or you would have got out okay. Like more more times than not, you would get out okay. But like yeah, I still in my head I'm just like just like just like I don't care what happened. I'm glad that uh I

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did the right thing. I don't care what happened. Yeah, my entry wasn't good or it just didn't work. Maybe I could have had a better entry you know, I would have still been in. Um but I never regret "Oh, I wish I didn't cut. Oh, no, I I cut it too early." But that's the worst worst way you can think. >> Yeah. >> Yeah. >> Yeah. >> Yep. >> Yep. >> Yep. >> Yeah, sometimes uh that happened when I wouldn't be trading with my and live trading with my group. And somebody stops the position and has a big loss and I said, "That's what you have to do." I mean, sometimes you have to lose

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and and you have to accept it. It's part of game. Sometimes it's higher than others, but and it hurts. But it's uh it's a way trading is. You can't change it. That's something I learned from Edu a lot. When to cut the losers and don't get to stubborn in in idea that's not working. >> Uh do you want to bring up a couple of trades just to to to round off your initial? initial? initial? Um I'm curious to see some of the theory in action. in action. in action. >> So, I was trying to look for a first red day in this stock that it was trading weeks ago at two and it was trading

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at 10. So, it was overextended in in the daily. So, I was trying to to look for a weak signal to get short. So, So, So, uh at the beginning at the stock I tried to long the stock when it was showing strength. I was long here and then when the stock went down, I was good. So, So, So, I think I cover it's very little, but I cover all the position here, but it you don't see after before the halted happened. I cover everything because the So, there is I I am >> Ah, yeah. So, wait, you're long there, right? So, you you sell it. >> Yeah, I'm Yeah, this is long and the

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green green green uh yellow arrow it's but it's on the back of the blue. It's a sell. So, I sold I sold I sold all my position or almost all my position here. position here. position here. >> So, yeah, so this is typical of you like you going long on the dip. You selling some profits, then you going long thinking that's the next dip, but that's that's not a dip. >> Yeah, that's not a dip. >> And I was I knew I was aware that the stock was overextended on the daily. So, I wasn't very careful on the long and it looks like I buy a lot of times but it's I don't have a

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big position. So, I think I lost scale 10% of my Yeah. I lost like 10% of the of my my max loss. So, it's wasn't a big deal. And then And then And then when when when I was thinking that everybody was screwed on the long side. That was my trigger to go short. So, I trend to go short on the bounces, cover on the on the continuation. the continuation. the continuation. Another Another Another push. push. push. Or another pullback. So, I try to to short that short that short that with with with a higher level like here. I don't remember to be honest. But see at every push it goes I I tend to

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to short. Um Um Um >> Yeah. >> Yeah. >> Yeah. >> I remember here was very annoying because I got not huge position, but I wasn't wasn't wasn't expecting that going straight up without any bounces that I couldn't recycle anything. And again it at that time like the the trade was over for me like the stock went to eight to six or lower than six. So, I have everything I I wanted in this uh first hour and a half after the uh sorry, the start. Um but yeah, I that was a a pretty good one. one. one. Because I go uh um with huge size here. That's where the the imbalance starts. And that's when

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I'm very interested on on longing the stock. Uh going short, sorry. sorry. sorry. >> Yeah, I love your charts cuz your your like people will say your charts look pretty crazy. Your executions look crazy. But when you explain them, there's total there's total method and sense to the madness. There's there's total sense and there's strategy behind them. I I love how you trade. >> The good thing is that I don't marry the stock as we talk about it. If I have to switch the bias, I don't have any problem on on doing that. If you know when you are wrong and you don't oversize unnecessarily, oversize unnecessarily, oversize unnecessarily, the losses are not going to

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be hugely crazy. crazy. crazy. >> Just before you switch off this one like the are you risking kind of levels here? Are you feeling price action thing and this bounces too strong I might start getting out. Is it are you risking levels or just feel? >> Yeah, it yeah, I'm risking levels. Like when the stock is trading here, so my my stop is here. Or it's when the the the trends changes, so that's when when uh like my stop loss. So, once the stock drops, stock drops, stock drops, it doesn't make any sense to have the stop at uh these high levels. So, um when the stock is here, maybe my stop loss is here.

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When I When I When I um I have uh the position here, so my stop loss maybe here or maybe be what. So, that's I I lower my risk and if it goes up I um um um I don't um I mean, I say I close the position. >> Yeah, so you'll see I just according to the level, so you're not too >> Exactly. One place. Exactly. And like that there is a breakdown zone when the established here established here established here if it bounces over this level maybe I'm interested in shorting against this level again, but here it's like okay. um um um It doesn't have to go up. And if it goes up

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maybe something's wrong. So, just start thinking on on managing the position uh uh uh correctly. correctly. correctly. >> So, you can a lot of what you're doing is trend following? >> I mean, I I never thought about it, but yeah, it can be described as that. >> Sometimes >> Sometimes >> Sometimes >> times I I go short front side, like when the stock goes up I short this this moves because I I think like that the daily we are back side on the daily chart, basically. chart, basically. chart, basically. >> So, yeah. >> In 1-minute chart it's front side, but the big picture trend is is a downtrend, so I try to to follow this

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bigger trend. >> It can be trend following sometimes, but it's not it's not all this. Yeah. >> Yeah, exactly. >> Cuz you're contrarian almost on on the other ones. other ones. other ones. Yeah. Yeah. Yeah. >> Here AMBN. It was also a first red day. So, again I started traded 50 cents and it's trading like seven. It's like okay, and it's the second day it's a gap up. So So So I tend to that that's my main picture it's a short and I can long this this this this um um um uptrend move uh buying the dips. I don't know why I didn't do that. >> Maybe because you don't buy the dips. >> Yeah,

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maybe I I can sometimes I can try. But but like the stock it's it's trading at seven and it two days before it was at six uh at 50 cents. So, sometimes uh I it scares me. It's like buying on the top. top. top. So, I just wait for the backside. And as again, like I told you that uh this dips can be a deep buying. So, So, So, another chubby could be buying these stocks. stocks. stocks. Uh and when it's it doesn't work, I go short. short. short. Because that that trend uh can be changed. So, I short here, cover, short the bounces, cover, short the bounces, cover, short the bounces, cover. cover. cover.

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And when I make a lot of money, it's when the bounces are big and the drops are all also big. Yeah. Another bounce, another drop, another bounce, another drop, another bounce, another drop. And that's the the final drop. final drop. final drop. >> Sorry to interrupt. Do you find that you can still make money because that is that open is kind of an uptrend, but you still because the bounces are big enough, you can make money still? >> Yeah. Yeah, exactly. I try and sometimes it happens that I'm wrong. And that's why in Kim for there is a huge um huge um huge um a huge um win rate. Not my only my thesis are

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not I mean I can be wrong in my thesis and still make money because of these bounces. And then when the stock um consolidates and doesn't go down, I close half of my position and then it reaches my my stop loss. But as I made money before, so it's a positive trade, even though my thesis is not it's not correct. >> Yeah, but these aren't small bounces. These must be like seven seven eight percent moves up. Just these little zigzags up. Eight percent up, eight percent down, 10% up, 7% down. But they're lots of little good trades. >> Yeah, and yeah, exactly. And that's what I learned in Barcelona the first three years of trading

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was the one that told me you have to know the direction of the chart, not just trying to make money on the on the bounces and and have a bigger picture. picture. picture. >> But like is there a skill to the bounces? Is there like a level two in hockey staying or reading the tape or >> It's about knowing the volatility that the stock can can be against you betting that the volatility doesn't go higher without any recycle opportunity. >> Yeah, so to to a lot of degree it's feel it's feel as well in in the situation. >> Yeah, and you have to be you have to have have have hot keys to know what

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levels are important, what levels make you wrong. Even though like maybe I you have to have a hard stop loss. Like maybe if the stock reaches the pre-market high and you're short, you have to exit the position. That's a hard stop loss. So there's no no doubt. But you have to have the level between the price and the max lot and the stop loss where you have to start thinking that your position it's not on the right direction. And knowing yeah, how the price reacts on that on these levels and if that makes sense to keep chasing this trade or you just let it go. >> No, that's fantastic Travis. I think this has been

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an incredible education. It was I think when I spoke to you briefly in Madrid, I thought, "Holy this guy like really really knows what he's talking about and he's got a real he's got a real good um grasp of the market and think what you've delivered there has been is really really really good value. I think it's will help the community tremendously. tremendously. tremendously. So, thank you. I appreciate I really appreciate you being transparent and giving that knowledge to me and I'm sure it's going to help like a lot of people. >> Yeah, happy to share everything I can and it's my first interview in English. English. English. I hope I hope I hope I

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could express myself correctly and I'll keep trying to improve that also. >> No, it was great. No, it was great and it was very clear and and I I I I know how you feel. I did one in Portuguese a couple of months ago and it was like was like was like I was like three three times more nervous than I am to do it in English for God knows what reason. We'll put your Twitter below. I'll put a link to your room below in case there's any Spanish people watching that so they can they can find your room below where you're teaching. But, if you've got any any final words or anything like that,

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I'll I'll let you close out. close out. close out. >> Yeah, >> Yeah, >> Yeah, I mean, I would say resilience is very important. Like even though I started in the COVID market, I struggled for almost 3 years and all these 3 years of struggling make me the trader I am right now. So, try to learn from the best. In King Fo, there is a lot of good traders. Some of the traders on King Fo has their educational services. educational services. educational services. So, go for transparent people. Start with low money a little money until you know what you're doing and when you have edge and your equity curve goes down. I goes up, sorry.

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And your tower runs are are okay. So, just go for for it, for everything. Yeah. Thank you, Charlie. Thank you very much.

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Selling Options For Weekly Income While Working Full-Time (The Strategy)

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📅 Uploaded: 2026-06-20

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⏱️ Duration: 0:48:33

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👁️ Views: 9,072 (Rank #1 of 1)

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💬 Comments: 37

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📼 Playlist Progress: 1:37:06 of 0:48:33 (200.0%)

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👉 Get 50% off Kinfo PRO for the rest of the year - Use the code BOBDOG26 (monthly or yearly subscription): https://kinfo.com/kinfo-pro/

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👉 Join Bobdog's community - Use the code KINFO and get 50% discount for life: t.co/cgxFbacSQD

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👉 Check Bobdog's performance on Kinfo: https://kinfo.com/portfolio/60674/performance

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Go on any wheel or options subreddit and say you make 1% a week selling options. They'll tell you it's impossible. Bobdog has $1.7M broker-verified on Kinfo saying otherwise - at an 85% win rate, around a full-time job.

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So here's the actual strategy Reddit says can't exist:

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- Why selling premium (not buying options) puts the odds on your side - he's the casino, not the gambler

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- How he uses short-dated weeklies and theta decay to get paid as contracts melt toward Friday

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- The cash-secured put setup, step by step - and how he scales in on momentum instead of going all-in

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- The stock selection: growth + profitability fundamentals married to 200-week-MA and momentum technicals

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- Why he's happy to let shares get called away, and the $50K he lost learning

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- The weekly Sunday routine that runs the whole thing

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📖 Chapters:

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00:00 Intro

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01:29 The options-selling strategy behind $1.3M

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06:45 Building custom indicators and spotting momentum

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10:30 Following institutional money instead of retail

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13:26 How Bob selects stocks and sectors

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18:20 Fundamentals vs technicals

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30:39 Why he trades the same stocks repeatedly

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39:11 Trading psychology and surviving market fear

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45:31 Advice for beginners

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✔️ Follow kinfo: https://x.com/Kinfo

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✔️ Follow Bobdog: https://x.com/Bobdog1922

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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🔴 Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal #OptionsTrading #cashsecuredputs #CoveredCalls #SwingTrading #chatwithtraders

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Today we welcome Bob Dog. His account has recently exploded to 1.3 million. >> I'm not worried about the shares going up or down. Where I'm focused just on the premiums. When somebody has that type of volatility, I can get like 6% a week. This was the big click for me and what has like totally changed my trading. Now I know to go full blast [music] when I'm getting these bullish signals versus the bear signals. I want good fundamentals. Fundamentals kind of tell you what to buy, but then the technicals are going to tell you when to buy. Fundamentally this is a good company. This is where I really started looking at getting in and then

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I get some of my buy signals with these blue stars. [music] This is where I will sell a cash secured put. I would sell it generally at my first blue star. As I'm getting more blue stars, I'll actually sell more cash secured puts. As long as this is in a bullish trend, I'm going to sell sell sell That's essentially my strategy. >> Welcome to Ken Fo Undiscovered Traders. Today we welcome Bob Dog, an options seller who aims to make 1% a week and is one of Ken Fo's newest verified millionaires. millionaires. millionaires. In his first year on Ken Fo, he grinded around 300, 400,000. His account has recently exploded to 1.3 million and he's quickly

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nearing the top 10 leaderboard. Today we break down how he did it, his complete options approach, approach, approach, and what he did to make things go vertical. vertical. vertical. So So So basically you've done 1.3 million, which is insane. Well done. Congratulations. What's even more insane is you've done it with a full-time job. So you sell options for 1% a week. And So first of all, if you just want to explain like what it What is this? >> I think most people are probably familiar with buying options in in the retail world retail world retail world because you again you see on X or Wall Street Bets or something where the people are these turning

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these crazy amounts overnight, like you just said. It's like $600 to 100,000 and everyone wants to do that. Um so they take these uh they they they buy these options which are basically just like these contracts that uh you know, if the stock price goes up, you may make a bunch of money. If it goes down, you don't make anything. Um Um Um and what I do is I sell those contracts to people. So, I will sell because, you know what, a thousand people are going to buy that same $600 contract you did and 999 of them are going to not make money off it. There's that one person that will, that will, that will,

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but 999 people, I'm selling to them and I'm going to make profit off that. And I think if you look at my win rate for this for year to date, it's not 999, but it's it's it's I think 85% win rate. By doing what I'm doing, okay, so let's just say 850 people out of a thousand are going are going to lose that bet. I'm I'm taking that and I'm selling options to them. Uh it's very similar to casino. Like where the house the house wins wins wins consistently over time. Um Um Um and I'm generally selling options that expire this week or next week. I do very short-dated options because options because options because

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uh theta, and if you don't know what theta is, theta is, theta is, uh may want to like research some theta what that is, but it it it's one of the Greeks Greeks Greeks um and it essentially decays the the value of that contract over time and it accelerates tremendously as you get closer to expiration. Um very much so like the day before. Um and so I'll do I'll sell a lot of times on Mondays, I'll sell uh options that expire Friday. expire Friday. expire Friday. And I'll watch them slowly uh appreciate in value and then by Wednesday, Thursday, they start exploding value. exploding value. exploding value. And um I'll just I essentially I'll most

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of the time I just let them expire or I'll sell them for like or buy them back for like a penny. Um Um Um so that's mainly what I'm doing is just I'm selling selling options. I'm the casino casino casino um while others are trying to gamble Um and like I said, 85% win rate doing that. I think I'm very comfortable with with with those kind of odds. There is more than I'm not just selling options in like random stocks or like every single Monday and every Friday mechanically. Like there's also you have to know what is happening in the macro environment. Have to be very in tune with what is happening globally. What are

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Trump's tweets? Love him or hate him. I'll just like you have to know what this what is happening. This whole thing in Iran, what's going on with China. All these things you have to understand what's going on with interest rates, the Bank of Japan. All this stuff is impacting impacting impacting the markets. And then you also I want to find very fundamentally sound stocks and companies. I'm not just selling options on companies that have no revenue or aren't growing. aren't growing. aren't growing. They need to be very good companies. And then I think the last piece that I'll just add is the technical should be good as well. as well. as well. Like I wouldn't

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want to sell an option on on on on on a falling knife. >> So what did you start with and what changed in the last 6 months to go from 300k to 1.3 million? >> Um >> Um >> Um I think Well, I had a really good year last year. I think I think it's that's just the snowball effect of the account growing and growing and growing and the bull run as well. I think I think that's that's really the main thing. Um My win rate really picked up this year. If if you look at my win rate last year it was probably like 70% and this year I think actually might have been like

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65. This year it's closer to 85. It is creeping up towards like 87. Um 87. Um 87. Um I think that's the big thing. And what I changed last year um um um If anybody remembers, I'm sure you do if you're a active trader, but October was brutal. October and November um um um was really just brutal. Um you know, market was flying high and and and um you can see my dip there. Look, I think it's November 9th or whatever. Um Um Um Uh yeah. That was That was really frustrating to me. >> Before we dive in, if you're watching this live, there's a code in this video to right here gets you 50%

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off Kimfo Pro for the rest of the year. So, with Pro, you unlock the trading history and lock tickers and verify traders on Kimfo. You actually get to see what they're actually trading, plus a full journal of analytics uh on your own trades. That's just $12.45. just $12.45. just $12.45. With inflation, that's basically price of a Starbucks. Cancel whenever you want. want. want. Build monthly. Uh so, that code is bobdog26. bobdog26. bobdog26. You've got until Sunday night. It's only the people that are watching this live can claim it. Enjoy the rest of the episode. >> Um so, I started like This is where I got into building indicators indicators indicators um um um because I

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wanted to be able to to pinpoint at which point uh the momentum shifts shifts shifts in in the market. And either from a bullish or bearish standpoint. And you can use this honestly, you don't have to use this for selling options. This is great for swing trading. Um I have people in my community just crushing it just swing trading trading trading uh with these things, but I started building out these stars and and um so, like I'll just a purple star is like a bearish momentum point. And a blue star is like a bullish momentum point. momentum point. momentum point. And so, I'm looking at um so, pur- purple's bearish, blue is bullish. I'm looking

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at a weekly chart because to me, weekly's my favorite because it takes out all the noise. A lot of people look at like 5-minute chart or hourly chart. There's some even daily. There's so much noise in there. Um and then like a monthly chart is accurate, but it's it's a little slow. So, I really like the weekly. This is This is what I'm charting every Sunday when I spend my day charting. Um, but I can I I have If I look at my chart here, I've got four indicators up. Essentially, this this kind of gold regime regime regime Um, the gold the gold candles are essentially in a bullish, the gray candles are is bearish

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trend. And I have three other indicators down here here here um, that are kind of also giving me these stars. these stars. these stars. But, I can see back here now. Um, Um, Um, uh, I can't see the date on my screen. Oh, yeah. So, this is August, actually. August 25th, Bitcoin gave us the first uh, kind of purple stars here. I got three, which when I get one, that that's kind of the indication, but when I when I get three, I'm basically going to say, "Okay, this is very bullish or bearish." >> [snorts] >> [snorts] >> [snorts] >> So, I Now, I'm basically getting out of Bitcoin at this point. Even though it went

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back up here a little bit, we're flashing some some bearish signs. And this thing just absolutely tanked if you look at this. Um, Um, Um, and then if I look at now, we're starting to get some blue stars going. Um, going. Um, going. Um, and so, this is where I started getting more bullish on Bitcoin April 6th. Um, so if you look at like my Kinfo account, you see explosion. I was selling in the money cash secured puts on things like MSTR and Coinbase, very large positions. And just rode this huge explosion. explosion. explosion. And I think this is this is probably likely the bottom for Bitcoin. I you know, nothing's going to be perfect.

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This thick this thick uh, thick bar here is the 200 weekly moving average. That's probably going to be really good support if it does drop down again. That's probably where I would start loading up again. again. again. Um, but the last piece I'll just call out my bottom indicator here. This is kind of like the gold lines are whales. And the white line is like retail. And this is like accumulation. And so, I want to see this actually like crossover to where whales are buying Bitcoin more um than retail and that to me that's when Bitcoin is going to go crazy again. And so this is this is like one example. I'll pull up um

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if it's all right, I'll pull up Yeah. Yeah. Yeah. >> But that yeah, that silver flow is that an indicator that you've created, customized or is this >> Yeah, I I have built all of these myself and they are right now they're invite-only. invite-only. invite-only. Um I don't have these things public like they're part of my community. Um Uh you know, I think this is I I I even tried to publish some public on TradingView didn't have a ton of success there. there. there. Um but yeah, right now I've got these things just as invite-only. Um And yeah, so I I've built these things. And and I'll just call it like Hims. It was like

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the exact same thing. If I look at it was July. Literally July was telling me get the heck out of Hims. And if you just listen to this thing you could have avoided Hims all the way from at that point it was 50 a share all the way down and then it gives us a buy signal. buy signal. buy signal. Uh was it just under 19 was our buy signal. So this is where I start to get back into Hims. And it's such a similar chart. Um But yeah, this is this is kind of this is like this was the big click for me and what has like totally changed my trading. Like I was

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already profitable I was doing good, but this is just like okay, now I know to go full blast when I'm getting these bullish signals versus the bear signals. >> And this uh these indicators are incredible because I it's it's funny I've just been starting to look into uh uh uh everyone always says follow the money, but no one really knows how important follow the money means and and follow follow investor follow what institutions are doing and and that so that indicator where you can you can pick up what institutions are doing versus what retail is doing and see that transition. It's it's incredible. >> Well, that's that's who moves the market. Though, like institutions and

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whales move the market. It's not us like retail traders. They don't they barely even when you get these uh FinTwit influencers that are have a ton of followers, like they're really not moving the market unless unless it's just an absolute penny stock. Like they're not even moving this stuff. So, that's who you follow. Follow big money. And I think like so many traders and like even myself in the past tried to fight the trend. You you hear this trend is your friend. I'm going to catch the bottom. I'm going to sell the top. No, you're not. Like just the like it's not even worth it. Just it it's tr- the the stock market is it

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it almost follows like uh the Newtonian laws of physics where like an object in motion stays in motion unless like the it gets forced against it. it. it. When when a stock is going up, it's generally just keeps going up. And so, these indicators just catch that momentum. momentum. momentum. Um I'm not catching the bottom, but I'm going to catch the momentum and I'll ride it. And I may not sell the top, but I can get pretty close to it. >> Well, that's getting your strategy. Now, if if you want to throw up a screenshot and just just while you do that, like a lot of people can invest, right? A lot of people can

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invest and make 10 A lot of people can put money in Tesla and Facebook or meta or or Google and be like, "Ah, 10% a year, I'm doing well." or 15 in a in a good year. But no one can really day trade. Like very very few can day trade. 0.5% are the ones who make it. But then you get this thing in the middle, which is what I found and what you're doing. This this mid-term swing trading kind of game. >> Yeah. >> Yeah. >> Yeah. >> Where you you've made a million dollars doing it. Like >> Yeah. >> Yeah. >> Yeah. >> And this is the start. So, So, I think this is

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a real space for a lot of people. And if if I guess if you can just break down roughly like how a new person can get into it, some of the things you look at, what your weekly strategy is, I think it's huge value. value. value. >> Um yeah, I mean again, I can touch on like like like to me to me to me I get my indicator and this is again Mara and sorry this is another like crypto-related stock, but it just came to my mind as something. Um where like I was I was getting signals that on March 9th, this is actually the first crypto-related stock that it signals or or DC stock,

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by the way. For anybody that likes DCs, um this was the first one, which is a interesting sign. interesting sign. interesting sign. I was getting the kind of signals to start trading this back at $8 and now it's like it's like it's like you know, almost 14. Um so that that's kind of like my first thing that I'm looking to do um is do I have like bullish momentum bullish momentum bullish momentum um on the stock or um try to think if there's an Oh, here's here's another one I would potentially look at. So, I'm going to I'm going to pull up ASTS on the daily time frame. I'm just going to remove a few

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things here. Um Um Um but ASTS I looked at I'm going to zoom way back out. And let me uh take a couple things couple things couple things uh just make this clear. This thick gold bar is the 200 daily moving average. I was looking at ASTS all the way back and it really hadn't been below this since like uh it like in like 2 years. And so, when ASTS uh a couple weeks ago or I mean, this is like 2 weeks ago, was dropping it down into the 70s, I was like, "There's pretty damn good chance it's going to going to going to it's going to find support at the 200 daily moving average

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because that's what it's hit for 2 years." And look what happened, this thing is freaking just rocketed up. So, uh myself, my community, like we were going hard on ASTS and then you start getting some getting some getting some buy signals as well, you go even bigger on these things. Uh I will do a version of what people call the wheel. People will call it the wheel. I I I do a little more aggressive than that, but like the the idea of the wheel is that you will sell a cash-secured put on a stock you are comfortable owning. And if the stock goes up, the price goes up, um you essentially collect the premium from

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from that option contract, and then you move on, and it's over. If the stock price goes down, then you get assigned the shares potentially, and then you will own that stock at whatever strike you selected. So, that that's the first part of the cash-secured put, first part of the wheel. The next part that people would do is they would sell a covered call after they get assigned those shares. Then then they would then sell calls on those shares those shares those shares a few dollars or whatever above that strike price that they get assigned at. And they're collecting premium, and they're going to do that repeatedly until those shares until the strike price goes above

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or until the stock price goes above their strike. Um [snorts] when that happens, the shares get called away. And then now they're back in cash. Then they're doing cash-secured puts again, and they're very much just doing this wheel type thing. Um Um Um that's like your basic uh option selling thing. And if you go on Reddit, there's all these wheel communities and communities and communities and uh they'll tell you what I'm doing is impossible. They'll say like a 1% a week, and then you're like you no chance. chance. chance. I I think some of the analysis I've talked about you have to do. Um but I I would say I'm a little more like premium

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optimization, where I'm focused just on the premiums. the premiums. the premiums. I'm not worried about the shares going up or down. Um a lot of people when they sell covered calls in this example get very frustrated when the stock price shoots up. So, they may they may own a stock at $100, and they sell a covered call for $105, meaning meaning meaning it can go up $5 before they get the shares called away. Then then they watch the share price goes to 120 that week. And they're like oh my god, I missed out on this $20 of appreciation. Like I'm never doing this again. I I'm telling you I see this all the time. I'll

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just sell it for I'll sell my covered call for $100. I buy the stock for 100, sell a covered call for 100. I get $3 in premium. And I would go on my way. I don't care if the shares get called away. Don't even care. I'm just getting my premium at that point. So, I and it's to me it's just like this inverse of I like because $3 on a $100 um um um share price, that's to me that's a 3% return. return. return. That's that's I'm already beating my my goal for that week. So, I'm happy to get my 3% return. I don't need this 20% gain that uh people are trying to get.

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So, I'm focused very much on just the premiums. So, I'll do the same thing with cash secured puts. I'm really focusing just generating those premiums um rather than pure wheeling if that makes sense. >> So, first of all, I guess we'll go to stock selection. What are the types of stocks that you're looking at when it comes to your stock selection? >> I want a stock that is growing. Um and there's there's some really good um um um I don't know I can't quote the exact numbers, but like uh uh uh Druckenmiller and Warren Buffett had some criterias with like growth and things like that. Um but I I just I definitely want something that's

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growing like 20% a year. Profitable is also I I really like profitable um stocks. Um Um Um I want good sentiment in a stock as well. I think people don't appreciate that enough, but uh strong sentiment can move a stock like like like Tesla. Tesla. Tesla. It's got like a 192 PE which in you know, your traditional investing is like insanity, but insanity, but insanity, but there's a there's like a army of people that love Tesla, and so it's a That's a That's a good one. Uh even ASTS um um um is one that I kind of like laugh about I laugh about the revenue, and sorry for the fans, but like it's still pretty

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low, but like yes, they're growing incredibly well, but they have this huge community that just loves that stock. So, it's like I'm pretty confident that the it's going to get bought up in any dip, cuz people just love that that company and that stock. Um Um Um I think that That's a big piece. I think also as a retail trader we like I mentioned before we aren't going to beat these institutions and these quant traders um and what they're doing. And they're trading these big They're trading Mag 7s. They're trading these mega caps. And they have these stocks like they're manipulated all to hell. Um Um Um Where they're not trading are like small caps

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and even a lot of medium caps. They're not touching those yet. They're They can't They can't do those things. Um so, I I actually I really like a medium cap type stock. Um cuz it's not generally going to go to zero, zero, zero, um but they have this this tremendous upside that you can get. Um and I think we've seen that lately with like with like with like some of the semiconductors and uh you mentioned space stocks recently. Like SpaceX IPO is coming up. Okay, so all the hype's going to be in space stocks. stocks. stocks. All these small and medium cap space stocks have just doubled in price in the last two or three

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months. Um if you look at those. So, I think I think I think I I again I I want good fundamentals. Um Fundamentals kind of tell you what to buy, but then the technicals are going to tell you when to buy. And that's it kind of marrying those things up. up. up. >> Good. Can we just run through like a couple of stocks on the technicals where you can say like, "Okay, for this reason, this is something where I would I would sell sell it in options premium or or or and and where maybe some people go wrong?" wrong?" wrong?" >> Yeah, I can do that. >> Anything you want to do like how you

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do your Sunday thing kind of thing or if you you you how your scan goes or >> Yeah. >> Yeah. >> Yeah. >> what you're looking for would be good. >> Yeah, so like my Sunday kind of review, so what I'll start with I will look at like spy. I'll I'll look through the indexes and I can you can kind of see like on my screen I've got some of the different indexes I look at uh to start with. Um just to understand like the macro kind of environment. And again like I'll look at mainly weekly. I do kind of look at the the daily and monthly. But I can see here I'm kind of

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in this bullish trend. I mean if I zoom out on spy too like it's hard not to be a bull when it's like it's it's it's pretty much going up long term. Um Um Um but it you know, we're looking pretty good here. It is all-time highs, I'll be a little cautious, but I am in a bullish trend. So I'll I'll generally like look through some of these indexes to to look at uh what's going on. I really like right now my favorite index is IGV. If you don't know what IGV is, it is uh it's a software sector. Their top five holdings are Microsoft, Oracle, Palantir, Oracle, Palantir, Oracle, Palantir, uh Palo Alto, and

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I I can't remember the fifth, but it's like now or Workday like one of those software stocks that just got the kicked out of them. Um Um Um but what I was looking at on this this stock in particular we went through this huge downtrend. Uh the 200 weekly moving average to me is a really good like bottoming point and it and it's kind of held. This is where I really start looking at getting in and then I get some of my buy signals with these blue stars. Um that's when I'm real I started getting into IGV and selling cash covered puts here. Um Um Um and we're we're kind of and I'm building a

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position because I'm pretty confident it's going to keep going up at this point like the trend is up. So IGV So IGV So IGV I like this one because um I I it's hard to guess with some of the stocks like Microsoft or Crowd or Adobe, you mentioned uh Duolingo that's just gotten crushed. All those are kind of in this in this bucket. And some of them are still just getting crushed and but a lot of them are starting to you're seeing they're starting to see recovery. Um even uh let's pull up Adobe would be one. I don't think we have totally it is starting to get some kind of some bullish signals here. But

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you can see like if I look at this one, I can see it kept getting bullish signals and it like dropping down. So I haven't touched Adobe yet. Adobe yet. Adobe yet. Um Um Um not not the biggest fan of getting into this one yet. I I like to see a little bit more. Um if you really want to get confident in the stock, look at the monthly. And here's one that's really interesting with Adobe. with Adobe. with Adobe. It's hit this 200 uh monthly moving average. This is normally like bottom bottom of a good company. Like this is like if it goes below this, what the heck is even happening? Cuz this company is

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still like printing money. If I look at their financials, and I'm not I don't I haven't traded Adobe all year, by the way. But like it's got a 14 PE. It's got a 98 market cap. If I look at earnings, they're doing 26 billion this year. They're still growing. If I look at their statements, they've got got got uh they've got a ton of cash. Uh 7 billion cash. Like overall, like fundamentally, this is a good company. No, I'm not currently in it because of the you know, the AI AI discussion. Is Claude going to replace them? Maybe Adobe, I don't know. Um Um Um but when I would start getting into Adobe is if

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it gets up into this kind of like 300 range, I'm going to start triggering monthly bullish signals and I'm going to start trading the stock. the stock. the stock. Like Like Like because that point it's probably going to start recovering. Like I said, it's going to start going up, but it's going to keep going up. Um Um Um Adobe, personally Adobe, personally Adobe, personally I don't know. I don't know if about this company. Just like I know they do like uh graphic design, and I have friends and family that do this for a living, and they still love it. I don't know. >> Uh can I can I just say is just on that chart

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chart chart the yellow the yellow indicator is the hedge fund, and the white indicator is the retail on the silver floor, right? >> On the bottom one, yes. Exactly. >> So so hedge funds you can So the institutions are still getting out, and they've been getting out since 2000 2025. How smart are they to to to spot this AI trend? And retail is dip buying and getting crushed, which is just just the story. >> How many people have you watched buying the dip all the way down? >> people? I don't know how many people. And Duolingo as well, and Hims & Hers as well. And it's so interesting to see that institutions are getting out

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and and retail and and retail are getting clubbed. clubbed. clubbed. >> Yeah. >> Yeah. >> Yeah. >> My my I I've worked in marketing for 10 years. years. years. We all We all We all religiously have used Adobe products. I've worked with editors and designers for 10 plus years, and I don't see, unless Adobe rapidly adapts, how how it turns this thing around because because cloud and AI is getting so good at video at video at video and image editing that I I don't see I don't see it coming back despite how great the figures look. >> Right. Right. >> I think it's a casualty. >> Right. It's it's it's crazy, and and that's why

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though I like the IGV because it's hard to you know you can't you can't know 200 different companies in and out and like which one like is is Adobe ever going to make it or not or is Salesforce? They may. They just did a $15 billion buyback. Is CrowdStrike going to be okay with with AI? It's hard to know, so I like the sector overall. The the trend's bullish. I like that. Um Um Um >> Is that IGV did you say? You said IGV the IGV? the IGV? the IGV? >> IGV is like a sector. >> sector the sector. It's fine, yeah. >> It's like a software and you can see this thing's just been

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It's starting to come back. And what I've noticed is I like this kind of as a hedge because right now everything's AI and semis. Everything's AI. Everything's AI. Everything's AI. Anytime AI dips, this goes up. So if you look at days that are like red for AI, this is like green. So it's it's kind of a good hedge, but I also think it's just it's just undervalued in terms of like what they're bringing in. These companies are still very Microsoft is not going anywhere. I'm sorry. Like Microsoft is going to do well. Oracle's doing well. doing well. doing well. Um Um Um >> But these guys have got cloud space though. They've got the They've

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got all of the the cloud that they're selling, which is an alternative business. And and they're in the AI as well. They're Microsoft. They've got their own philanthropy and stuff like that. >> Yep. Yep. Um let me talk about So my favorite sector this year has been the data centers. If you ever heard the Situational Awareness LP kind of manifesto by the Leopold guy that was like, you know what I'm talking about? >> No, tell me tell me tell me. >> Oh my god. So this guy was he's like 24 and he runs the most successful hedge fund in the world right now. He um He um He um >> A 24-year-old has the most

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successful hedge fund in the world. >> 2500% return last year. This guy. Is he I can send you the link or whatever. Look it Look it Look it And so it's called Situational Awareness LP. It's his fund. And so he worked at ChatGPT. ChatGPT. ChatGPT. And he left like last year or the year before. I I don't really know why. There's like a lot of rumors. But then he wrote this manifesto in the summer of 2024 about bottlenecks and AGI happening. happening. happening. And he picked companies like Bloom Energy Energy Energy um um um and and uh SanDisk and he bought them like at the bottom. With and he turned he turned like $200 million

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into like $5 billion last year. Off just shares he has some options, yes. yes. yes. Um Um Um but when this guy is his filings got released Monday last week that it moved stocks. stocks. stocks. Um he it moved stocks. But my point I guess my point of this whole thing is his focus is on the bottlenecks of AI and AGI. He's not trying to buy Nvidia at this point even though Nvidia is amazing and it's going to keep crushing it. He's like, "Where where are we going to have a problem with compute?" And he's found it's like power power power and it's like and it and it's enough compute. So like the data centers

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or these companies that are providing power in the US there's just not enough power. Um [snorts] that's where he got his Bloom Energy. I think recently he bought TE which is called T-One Energy. Um I'm proud to say I was in that before him. him. him. Uh Uh Uh so that's a nice brag, but um I'll just this is like I love this this thing was like uh uh uh you can see last week it showed where he this is last week. Um he bought his filing got released and you can see this is the volume. It just like shot up cuz people saw he's doing it. This is a good stock. Like this stock's

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going to go. This could 10x from here. Uh not financial advice, but like when he's in a stock like people are are really liking it and then if I look down at my silver flow whales started getting in this thing uh May 4th uh is when they started like going up. So we're starting to get some momentum there. Um so TE's TE's getting moving. Um Um Um yeah. I'm a Yeah, sorry. Yeah, sorry. Yeah, sorry. >> No, I I just I really like your approach of like starting with the sectors and and I So are you are you trading only the sectors when you're selling selling the the the calls? Are you trading the stocks

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as well? >> Uh I'm trading stocks, mostly stocks. >> Yeah. >> Yeah. >> Yeah. >> Um >> Um >> Um and I think I mentioned the data centers are my favorite right now. I really like Coreweave has been a really fun one to trade. trade. trade. This this thing is just up and down and when these stocks are really volatile like this, like this, like this, the premiums are just juicy. Like uh EOS is another battery company. Uh you have to be careful. This thing dropped 40% in a day. So you have to be really careful this, but when somebody has that type of volatility, the premiums are amazing. Like I can get like 6%

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a week off EOS off off the premium. So like it's fantastic. Uh Galaxy is another one within the data center world I like. Iron, people love Iron X. Um this has been a really fun one to trade. Uh Cypher is another fun one. But I I I'm So I'm showing lots of stocks that may seem like I I'm knowledgeable a lot of stocks. I'm not. I have like 20 that I'm like I'm over and over again. If you look at my Kinfo history, it's very much these like 10 to 20 stocks that are like just over and over and over again. Um and so my advice to people would be like shorten your list. Don't

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try to trade like a thousand stocks. Try to trade like a few. You can even do like five. Like Like Like last year, last year, last year, 70% of my gains were in five stocks. It was like these same five that I I And because I because I because I you you start you become extremely knowledgeable about those companies and you learn their patterns. I think you mentioned biotech. That's a huge advantage in that space cuz you start learning the trends. You understand how those companies move. And you said you talked about the trials, the one, the first, second, third. I don't know anything about that. If I trade biotox, I'm going to I Biotex,

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I'll get crushed. I don't know, I just don't know anything about that. Um but you when you you get your these companies and you just start like mastering the way they trade, it's such an advantage um to trading them. So, like I will I like these core stocks that I'll just trade over and over again essentially. >> Can you give me an example of like a trade now that you might be getting in and and why you would be getting in it? >> Yeah, so I think um and by the way, another thing I do is I don't I don't enter a full position ever on my first trade. I do like increments. increments. increments.

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Um so, Um so, Um so, as example, as example, as example, if if I am entering a position, I may only do 20% of like what my full allocation would be because the stock may still drop more um um um uh or not, but I so I will I will scale that up as time goes on. So, as example, what I would do on the weekly time frame, I get my first kind of bullish signal was back April 20th on Cipher. I'm getting some blue stars here. stars here. stars here. This is where I will sell a cash-secured put. put. put. I'd sell my first one. I would sell it generally at my first blue

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star, blue star, blue star, um which is actually back here. Uh and I'll sell another one as I'm getting more blue stars, I'll actually sell more cash-secured puts. So, as as like momentum's going up. And so, I'm accumulating those positions. positions. positions. As long as this is in a bullish trend, I'm going to sell cash-secured puts on Monday or Tuesday and have them expire on that Friday. Friday. Friday. Um Um Um that's essentially my strategy. Um I will generally not sell a ton of covered calls until I feel like we are getting close to peaking or uh I feel a little bit of risk here. Cipher would be example where it's near all-time highs. all-time

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highs. all-time highs. I'm comfortable I'm comfortable I'm comfortable selling here selling here selling here um because I was doing cash-secured puts down down down in the 15s, 16s. Um building position up and now it's in the 20s. I like I'm kind of comfortable um if this gets called away and I think people are like they're so worried about like closing position early. Like there's there's just always just always just always opportunities in the market. So um I'm okay to like just let things go. And if they go early, I I'm notoriously I'll sell them early, but it's okay um to let stuff get called away. >> Do you Do you find I mean you have

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a All right, you see you're building into winners. You're building into winners by the by the sound of it when you're you're buying sell you're selling puts on the way up. Do you ever build into Do you ever have a plan to like ease into a loser or give it give a loser room or is it's Are you strict with that? >> I think uh rarely. I I try to stay in the bullish momentum. There's a few exceptions where I'll show another RDW was one that I had drawn this line and it was like continuously hitting this uh descending resistance. I started building position like down here here here um um um because because because

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it was the only space stock that was like still going down for months. While I was watching SatL and Sidu, ASTS, Rocket Lab, all these space stocks are shooting up and this was like this is like a picks and shovel of the space sector. And I knew as soon as it breaks this resistance, this thing is going to go nuts. nuts. nuts. And so like I'm I was building position for weeks. for weeks. for weeks. Um Um Um and I was comfortable being being red or slightly red uh while I was doing this. And then you see this thing just like exploded up. So like I think it's just totally fine and being comfortable. I

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think you just have to be comfortable um if you are going to try to average into like a a a stock in a downtrend, is this thing going to be a winner over time? Like, this is a good company. The other one I'll I'll just admittedly, there's two stocks I am building a position in right now that are losers in terms of the trend. One is Robinhood. It's just It's not really going anywhere right now. right now. right now. Um, Um, Um, it's been kind of flat. I think this is I think Robinhood is going to be a winner long-term with the movement of money is generation generational money kind of transfers hands and that

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stuff. And then I think Open is another one. another one. another one. This I have a similar trend line to what RDW had. I think Open is going to have an explosion one of these days. They are The only thing with Open is it's just subject to to rates. And uh, until rates start going down, this stock is not going to just go you know, it's not going to explode. But, I think I think this stock is cheap, so it's like I I'm comfortable holding this like long-term. And so, I've been like probably for a few months now, just like slowly buying a little bit every week of this stock or I'm selling cash-secured puts

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and I'm getting assigned, essentially is what's happening. Um, but I'm just comfortable. I think this stock is going to eventually just explode and I think it's undervalued. I really like their CEO. If you look at he just he just did an insider buy, which is generally bullish. generally bullish. generally bullish. Um, he's really transforming this company, so it's worth looking into. Um, so to me, the technicals aren't here, but I think the fundamentals are in this company. They're expected to turn a profit for like the first time this year. Um, and once interest rates start flipping, this company's going to go bananas. So, this is just an example of something I would buy as it's

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going down. down. down. >> Yeah, I mean, when I when I think about it, I mean, your strategy is uh, obviously sell it selling selling puts or or or calls and collecting the premium. And the reason that you're doing that is because specifically because it gives you more room to be to be wrong because of the >> some. >> some. >> some. the theta. So So, but basically, it is the same as someone who's buying low and selling high on equities. It's It's the same It's not the same at all, but it's You're You've got a bit more room in being right or wrong through your strategy, but effectively, you're doing the same prediction of

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the macroeconomic factors as I the stock selection as as an equities trader. So So, it's like how have you How have you you you So, you've kind of Well, you've made a million dollars doing this, so you you've Let's not say you've mastered it until you've made 10 million, but you're you're on the way You're on the way to like mastering the markets like and and predicting it. Like how how how does someone learn to do that? It's like the million-dollar thing, how to guess where stocks are going, what direction. How How did you do it? >> Um well, I I will say I don't think anybody can predict short-term. short-term. short-term. Like I see

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all the time like what do you think's going to happen this week? What do you think's going to happen tomorrow? I I I I can't tell you. I mean, I like I don't think anybody knows like uh Bitcoin's down under 75K right now because because because apparently the the new law that the SEC was looking at acting got canceled Friday. Like I saw a little bit about that. Like I don't know what's going to happen. So, this is where like I think thinking like a long-term investor is the best approach. Like that's why I I like the monthly chart, the weekly chart. Like I just I try to think of like longer term because it's

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hard to predict what's going to happen immediately. immediately. immediately. Um Um Um I think again, like trading with the trend is is huge. Trading in companies you are comfortable owning or that you believe in, that you know a lot about, that you use. If you're a new investor, that's the best like trade companies you use, like that you know. Like I trade on Robinhood sometimes. I own a Tesla. I like I I love my Tesla. So I like I know a little bit about that. Where somebody trading Tesla that doesn't drive one or I think you're a little disadvantage I think to that. Um Um Um I think I think just like knowing about the

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companies that you're trading is is definitely huge. Um Um Um I I'm trying to think what else. Like I think I think Okay. I will let me also talk about something. So the the market is like designed to shake out like weak hands. If you've ever seen the fear and greed index index index guess what the best time to accumulate is. It's when there's freaking massive fear in the market. The best time to sell is when there's massive greed. massive greed. massive greed. I mean it it's like every single time that I've watched over the years the fear greed index hits like a five or under a 10. That's like super fear. Everybody's panic. That's

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when you freaking buy. Like that's when you get into positions into positions into positions and that's when like smart money is accumulating. Um accumulating. Um accumulating. Um And then the opposite on on on the the greedy side greedy side greedy side we see like there's so many like articles that come out and there's like so much manipulation that's happening. It's like It's like It's like you have to just ignore the noise and like stick to the thesis and stick to your strong companies. Um the companies that you believe in. Um and I think just a lot of times just ignore the noise. There's so much like doomer doomer doomer articles that will come out and

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like they're they're suspiciously timed and sorry I'm not trying to get into like conspiracy theories. They're so suspiciously timed some like with some of these things and like Oh my god, the other one uh uh uh the market's in turmoil is a special that that gets on CNBC. They just market's in turmoil. Well, guess what? Every time that is aired the market has been up like 30% a year later. Like if you look at the statistics every single time, they run these like crazy things that just scare everybody out. I just I just I just I think you like trading is very much psychology and I think it's actually more in the stomach a lot

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of times than it is in the brain. Like are can you handle this drawdown? Can you buy right now? It hurts to buy sometimes. It hurts to get in a position. A lot of times those are the best times. >> And I honestly I honestly think that's why it takes 5 to 10 years because you've got to have seen things so many times that you just feel you just feel reassured. And I've kept you a long time, so I just want to I just want to ask you two more questions. There's two There's two elements to this. There's the fundamentals and the technicals. So in terms of the fundamentals, is there any key things that

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you're looking for that help you choose a stock or that you could recommend other people look into to choose a stock? >> I'll just I'm going to comment that I think technicals are the leading indicator right now. In a bull market, technicals are matter way more than fundamentals. Like we see some of these stocks. Like I mentioned ASTS. From a fundamental standpoint, I don't know if they're making like $100 million a year right now. Last year they weren't making anything. To have a 30 plus billion dollar valuation makes no sense. So technicals right now lead. In the bear market In a bear market though, the fundamentals are going to lead. And that's where it's going

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to be like super important. Um important. Um important. Um I'm not really worried about like PE. I think I think it's fine to to check it out. Um but a lot of times like companies like a Palantir can have just outrageous PEs may still keep going up. Um I want to see I want to see strong growth. growth. growth. Definitely like 30% plus a year in growth. growth. growth. Um I like to again see profitability because that just gives me a little more confidence like confidence like confidence like Hims is profitable. Hims had a huge drawdown, but you know what? It's a profit It's not a meme stock at this point. It is profitable. Uh

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GameStop has 9 billion in cash and a 10 billion market cap. Like there is no price to their business. They're you're just pricing their cash at this point. That's pretty solid from a fundamental standpoint. So, I like to kind of see the cash they have as well. Like, what can they can they do some things with this and um does that give them some flexibility or if they don't have a lot of cash, are they going to dilute me like really soon? Um so, those would be some of the things that I look at. at. at. >> Yeah, and then in terms of the um the technicals, is there any kind of like you've got

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your indicators which are >> Yeah. >> Yeah. >> Yeah. >> brilliant, by the way. But, is it like a trend break or like are a dip that recovers or shooting stars or whatever? >> I think like I'll say the 200 weekly moving average. Anybody can pull that up on their chart. That's like generally a good like bottoming generally. bottoming generally. bottoming generally. Um but then I think the basics like RSI relative strength index or the MACD. Those are just like basics that you can see like bullish or bearish crossovers. crossovers. crossovers. And they don't catch the bottom, but they catch a trend. And I think those are fine. are fine. are fine. Um Um Um

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any trader can pull those up and use those. And just I think the basics, you don't have to go uh crazy with these indicators. Um are they if a stock is above all the moving averages, that's generally like a bullish thing. Or it's below all the moving averages, that's generally like a bearish trend. Like, anybody can pull this up and it's it you really don't have to complicate it. >> The last question I've got for you is if you had to start again and do it all again, again, again, how how would how would you study pattern B and what would you do to like learn as fast as possible? >> Oh my god. Uh

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I I I would have went I would go apply for a one of these Wall Street firms, probably. probably. probably. And go learn. Yeah, because like I said, my education my education my education I probably lost like $50,000 before I started becoming like profitable in that. that. that. >> You lost 50 >> easily. Easily, like >> Oh, >> Oh, >> Oh, I call it like call I I like when I say I paid tuition, it's it's a college education. education. education. Uh before you had like >> Now it's nothing cuz you made 1.0 What? What were you at? 1.4? 1.4? 1.6? >> Something like that, yeah. Uh um >> So, 50k is nothing, but you

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lost 50k at the start. That's Man, that's crazy. crazy. crazy. >> And it hurts. But it's tuition. it's tuition. it's tuition. >> That's a lot. That's a lot. >> I think like I would really want to find like really good groups of people and be in hang out with that community and learn and learn and learn would be the best thing. And it's hard cuz there's so many bad ones, but there are some very good ones that actually teach you teach you teach you um um um how to trade and how to win this market. I will shamelessly plug I do lead a community called Theta Daddies. You can go to thetadaddies.ai if you want

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to join. You can check that out. out. out. Um but I also just comment there are other good ones. So, some of the others I really like, The Long Investor is a good one. good one. good one. He's very like he's uh he's very disciplined. He does good analysis. Um he's a Patreon. The other one I would also call is Danny Chang. Would be is another very good one. Great at charting. at charting. at charting. Um Um Um I think they're a little opposite. One is kind of like the permabull and one is a little more bearish and a little But they're still going to teach you like the right psychology and fundamentals and and

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that's what I try to do for people, too. I just try to teach and help people learn how to be successful in the market because it is so hard to try to do it by yourself and there's so many communities that that that they talk a big game, you know, they're loud and loud and loud and but but but it just it it just doesn't work. So, I invest in a lot of tools, as well. Like I I TradingView I get like the highest plan. I do unusual whales cuz I like to know kind of like what are some of those weird flows. I pay for some other things like I'm fine to spend money

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because I think it if it helps make money, it's it's worth that investment. So. >> Yeah, >> Yeah, >> Yeah, >> [snorts] >> [snorts] >> [snorts] >> all right. We'll leave it there. Fantastic knowledge. Absolutely loved your indicators. I'm sorry to have kept you for so long. I feel like I've kept I've kept you too long by the end of it all. But look, it's fantastic knowledge. Click the link in the below to check out his XRS community and and thank you for your transparency. >> Yeah, absolutely no problem.

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The 3 Indicators This 21-Year-Old Uses to Short Overextended Stocks

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📅 Uploaded: 2026-03-05

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👉 Check Binh's performance on Kinfo: https://kinfo.com/portfolio/89894/performance

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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Binh is only 21 years old, yet he’s already built an impressive verified trading record on Kinfo, generating more than $500,000 in profit in just a few months.

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In this episode of Undiscovered Traders, Binh breaks down the strategy behind his biggest trades, including how he made over $300K trading the gold blow-off move.

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What makes his approach interesting is the way he combines technical analysis, options positioning, and market structure. He focuses on identifying extreme moves - stocks or commodities trading far beyond their normal ranges - and then positions for the mean reversion once momentum begins to crack.

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Binh explains how he started trading through prop firm challenges with almost no capital, why he transitioned from futures to equities and options, and how he identifies overextended markets.

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📖 Chapters:

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00:00 - Intro

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01:35 - How Binh got started in trading

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05:21 - Turning prop firm profits into real capital

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08:06 - Why he moved from futures to equities

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12:13 - The overextension strategy explained

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14:23 - Making $300K trading the gold move

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29:23 - Breaking down the silver overextension trade

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46:57 - Future plans and discipline

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🔑 Key Takeaways:

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- Overextension setups: Binh looks for stocks or commodities that have moved far beyond their typical range using Bollinger Bands, moving averages, and volume spikes.

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- Mean reversion opportunities: When markets become extremely extended, he waits for momentum to crack and then trades the reversal.

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- Options for capital efficiency: Instead of shorting stocks directly, he often uses options so he can manage risk and preserve buying power.

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- Momentum vs efficiency in markets: He explains why futures markets like NQ and ES are harder to trade consistently compared to equities with thousands of potential setups.

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✔️ Follow kinfo: https://x.com/Kinfo

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🔴 Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal #tradingpodcast #chatwithtraders #optionstrading #stockmarket #tradingstrategy #traderinterview #momentumtrading #meanreversion #Bollingerbands #movingaverages

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I made over 300,000 trading gold. You seem to have like an intense knowledge of trading at 21. >> Whenever that's the case, the dealers, they have to factor in more Vega [music] premium. And so that just boosts like the option prices a little bit more so I could sell it for a little bit higher. I'm looking at the daily chart. I I want to see like an X percentage above the upper Ballinger band. Ideally, I'm buying it before the move happens. So like DGA, is it too high? And then when I'm selling it, I'm selling it on the way down where a move is happening. So there's like some classifiers that I like to use

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to uh determine like an overextension. overextension. overextension. >> Why? Why conviction on that day? >> Welcome to Undiscovered Traders, where we have a 21-year-old who has made over half a million in just the last six, seven months. Ben started with about $200,000 and he's going to break down with us how he got started, what he trades, and he'll give a glimpse and some insights into his strategy and what he looks for and uh how he's had this kind of half a million profit in a matter of months. But first, Ben, welcome. Great to see you. Have you done have you done any podcast before? Is this your first? We try and bring new traders on.

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traders on. traders on. >> Yeah, this is the first one I've done. Yeah. Yeah. Yeah. Beautiful. Well, thank you for coming on. Thank you for being transparent and uh I mean to get started, I guess we'll just go into what what do you trade? How did you get started in traded in trading? What piqu your interest? >> Yeah. Um well, how I got started in trading. So, I'm from Houston. Um and there's this like local uh quant firm. It's called Bridgeway Capital Management. It's not it's not Bridgewwater. It's it's the Bridgeway. Um, so it's a little smaller. It's 100% quant and I got the opportunity to uh shadow one of the head traders there and

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um it's a really interesting experience like he taught me about like cuz they kind of well the the trader that I worked with um he was kind of in like the uh low liquidity markets. So not like the hyperl liquid markets like midcaps um but like more low liquidity. So, I got to understand a lot about um the order book, like how block trades block trades work um and just how to how to gauge like where you should place your orders. Um yeah, and that was like out of um all the like internships that I've done prior. Um that was, you know, very very interesting. And so, um, I started off trading like, so at

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first I didn't really have, um, too much capital, right? So, um, I started off like doing those, uh, platform challenges that like, um, like I'm sure you've heard of like Topep, right? right? right? >> Heard of. Um, yeah, how are they like are they real? Are they legit? Are the scams? Like what what's the story? Because I I don't I b things on these. >> Mhm. >> Mhm. >> Mhm. >> Yeah. So, I mean, I don't think they're scams. scams. scams. There are certain companies that are like a little bit shady, but you you want to stick to like the the more reputable firms. Um, TopSep I think is really good. My Funny Futures is

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pretty good as well. Um, Apex Apex like is a little um a little iffy. Some people don't like that because like the um they have a lot of rules that they don't really like tell you too clearly about. At least um back when I was trading them. Um them. Um them. Um yeah, but like I I think if you stick to those three, like they they shouldn't be that bad. Um they just do have rules that are pretty hard to to work around, but if you if you're able to make it work, then yeah, it's so Yeah. So this is exactly what I hear. It's um I I got told that the rules that they

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put in place make it difficult for you to be profitable and pass the challenges, but like it is possible. So So how was your experience uh in this route? route? route? >> Um it was good. I think it took me uh like the first the first six months uh I was just taking it slow. I I wasn't really passing a calendar. I wasn't really doing much. Um just like trying to fill the waters um because futures is a little bit different. Um it's a lot more efficient compared to like low liquidity um equity markets um what I was used to. Um so I had to you know uh kind of like find my way. But

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then um I think about a year and 1 month in I passed my first account and then my uh second and third year um there was like some really great opportunity during that time. that was I think it was around um COVID 2021 like amazing opportunities in the market especially um the indexes and so like these future prop firms they offer like now they offer like Bitcoin some forex but back then it was mainly like NQE and so that that's what I was trading I optimized my strategy for NQAES and I think for around in two years I made over 200,000 and then I used that money to fund it uh fund my lab again.

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>> Yeah. >> Yeah. >> Yeah. >> So, like hang on, just take us back. So, just to go back to these channel these challenge models cuz I'm very curious about them. Um so, what did you need to deposit in order to have the opportunity to trade real money and qualify? >> Okay. Yeah. Um so, you don't need to deposit anything. Um because like I said, I didn't have like a lot of capital. So, you just pay like a monthly fee. um for the account like uh you can I think top is like $49. Uh I I bought the highest one. Um so it was like $149 for me um per month and then you just

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trade that and if you pass it um you pay like an an extra like 149 for an activation fee and then after that um you get paid I guess. Yeah. So that's it's a So it's $149 a month and then they'll give you like a a simulated a simulated trading account and then if you you you >> Yeah. Yeah. I didn't like >> Yeah. Yeah. So you get like So what I did u my account was 150k. So I paid $149 for it. I had to make 9,000 without losing um I think it was 2% of the account. Wait, no. uh 9,000 without losing 4500. losing 4500. losing 4500. Um Um Um so 3%. Yeah.

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Um and then once you pass that, you pass the EBO phase, um you get into like a SIM funded account. So it's like you can you can make money off of this stage, but it's still fake money. And then afterwards, you get moved into a live account with like actual capital. >> And then when you get into the live account, that's uh what balance do you only start with? So you start with whatever the profit you generated in the sim funed account like let's say you pass like the the eval phase right and then you so you get into like a sim funed account and then um let's say I so I made $20,000 and

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then I got moved into a live account so my balance was literally like $20,000. >> Yeah. >> Yeah. >> Yeah. >> And then um and then is that like a 50-50 split or >> No. Um, so the first $10,000 is is 100% you and then afterwards it's 9010. >> So, uh, so they keep 10% after you make $10,000. $10,000. $10,000. >> Yeah. Yeah. >> And you make the 90. >> Sure. >> Sure. >> Sure. >> That's that's it's pretty good. It's pretty good deal. And then so you you you did that made a ton of money in futures and just thought, all right, I don't want to I don't need to give this 10% anymore.

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So that's when you kind of started creating your own account. >> Well, um, not necessarily. So like um for uh for futures uh the opportunity set is a lot more sporadic. So, um, basically like a lot of the time these markets are very efficient and so it's like it's hard to find edge because I I like to trade momentum, right? So, I like it when the markets are moving. But, um, so even though the the ATR of like NQ or ES is like a decent amount to be to be able to like cleanly capture that every single day is pretty hard. Um and so you have to find times where the market is inefficient, right?

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And so if if you think about a market um like especially in hyperlquid markets like NQE, there's a lot of market makers, right? So uh let's call them price t price makers, right? So they set the price and they provide liquidity on each level of the order book. basically like that market is very efficient most of the time and the to the times where I've seen the most edge is when everyone becomes a price taker right and what that means is just nobody knows what the price should be they don't know where fair value is so price is just like moving everywhere right and and those create very clean trending move momentum moves um which

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helps like me capture it because I'm the average like trade duration for me is around like um 5 minutes to like an hour, right? But uh so like my trades aren't like microsconds, right? So it's it's hard for me to capture um a lot of points unless it's a it's a clean trending move. And yeah, so back to my point, like uh ENQ or ES, they don't really have these type of clean trending markets a lot of the times. it's only like you know a few a few months within the year where like there's like massive volatility like VIX is above a 20 25 that's when it's like very easy to trade futures and so

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I I I was like tired of that um I wanted like a broader opportunity set and so I moved into equities right because in equities you have like um what like over 4,000 tickers uh I'm trading uh US markets and so there's over 4,000 tickers that you could trade from instead of just like two tickers right instead of NQ ES I have 4,000 things to choose from. So these stocks they have a lot more idiosyncratic risk and so there's more opportunity opportunity opportunity on the dayto-day. Um so so basically what I'm trying to say is that like in futures my equity curve was like you know one big spike and then I would you know

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kind of lose a little bit like throughout the time. But basically like you trying to you you have to maxim max maximalize maximize um how much profit you can make when it's volatile and then you try to lose as little as possible when it's not volatile. But with equities um I just need to focus on like the best opportunities of that day and and usually there is at least one good opportunity I could capture every single day. So like uh equities there's more reps right? as you could get better, more practice, more opportunities. Um, so your equity curve looks a little better instead of like these jumps. It's like, you know, a little bit more

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stable. There's still periods where you have a bad time, but like overall it's it's more stable. >> Yeah. >> Yeah. >> Yeah. >> So, like if I can if I can think you made half a million in the last 6 months. Um, if you could outline kind of what um what I guess is it equities classes, what types of is it equity classes? So, it's futures. stocks, options, forex, >> options, >> options, >> options, forex. forex. forex. >> You learn all these by 21. That's that's pretty impressive. So, like if you could just kind of outline, if there's a way of outlining, maybe we can have a look at a few charts in a in

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a bit, but like roughly what is your kind of go-to strategy? I know you just said with futures it was like you're looking for kind of momentum and variations from the average true range >> and then so what what would the strategies be across the other the other asset classes asset classes asset classes >> the other assets? Um well like whenever I trade options I'm just using the underlying uh stock sharp. So let's just talk about equities right. So, for equities, um I have a lot of different um setups that I I like to take, but um the ones that made me the most money is um like overextension trades. So, like I'm looking at

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the daily chart. I I want to see like uh I use Ballinger bands. Uh moving averages help as well. Volume, I want to see like large extension. let's say like a an an X amount of ATRs from a certain moving average, an X percentage above the upper Ballinger band, an X percentage of increasing volume on the daily chart. So I use those um classifiers in order to to describe the the quality of the setup and then I guess I I just trade the mean reversion of that overextension. >> Yeah, I was I was going to say it sounds like you're trading a lot of mean reversion strategies. So is that kind of a mean revision

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and future has mean revision and inequities >> inequities? Yeah. Yeah. Because um there's a lot more idiosyncratic features for a specific company. So like one specific company could be having an amazing momentum run in in the last few weeks, right? And then it could get to a point where it gets very overextended and then that makes a really good setup. Um but when like that's not too often in like futures because it's a lot a lot a lot of things going on. Um and so it's very hard to get these the future markets or even forex markets to um deviate massively from their mean >> and I mean silver and gold are tradable on futures,

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right? Yeah. So like that's the one example where you've had the most insane mean reversion ever. >> Yes. Yes. Like so mean reversions don't really happen that often in like major world assets. So that's what made like the the silver and gold trades like very very profitable. There was a lot of edge in that and like I made a lot of money in that. in that. in that. >> Yeah. How much is a lot of money? >> Um let's see. So in in futures I think I made over 300,000 um trading gold. Um, and then in equities, uh, equities, I I I imported it in Kinfo. I think it was $118,000 in in one day.

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day. day. >> So, you made half a million by itself just trading gold pretty much, like 300 in futures and then 118 on the on the equity side. equity side. equity side. >> Yeah. Yeah. Because like that that opportunity is is so rare. I think that was like a a five sigma of that or or something crazy like that. >> Do you know what it is? I mean, you I take it with shorts. you took it short or you took it long or you took it long. >> Yeah. No, I I took it short. Like I I mean like you you don't really know um when the move is going to stop. So like it's

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hard for me to long it like cuz like like you know you could find like certain spots to like the risk off of but it it's it's very hard to get on the long side. Um especially when it's so overextended. But for the short side, like once you see the turn, um, volume coming in, a change in the tape, uh, very extended from the moving averages, like then then you could like at least comfortably like size in because like like it's hard to commit too much size on on the front side, but then when when you know you're on the back side and like a lot of other traders that you respect are also trying

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to hit it on the back side, then you could, you know, size in a little bit more. more. more. >> I can tell you now like I I I was following Silva closely. I don't normally trade futures but it was impossible not to look at it and I found the main sign and it's easy to say in hindsight but I I realized that the day that was the final day for silver short was was was the final day was a move where it was like 15% up in one day and when when silver on its final day was a 15% green day and I think it it had previously had like three days in its

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history where it had done more than 15% in a single Okay, that's when I thought, okay, that's an that's that's an overextension blow off top within 24 hours. And then that that's what I thought. This has to be the top. But uh I' I'd be curious. I don't know if Do you have a chart of uh gold? Is there any way you could like kind of just give some sort of >> You can share screen if you want. There's a little share screen. I'd love to just see very basically like what you were thinking, what the sign was, and how you made basically half a million dollars on gold. I I have a lot of

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friends that um I mean they didn't blow up but like they were taking a lot of paper cuts on the front side and so that's what I was trying to avoid because um like if you take too many you know like stops stopouts before the the top actually happens then um when it actually does happen you get a little gunshy and so like I that's what I was trying to avoid. Um, and then so I I only really hit it with actually um I I didn't even hit it with that much size. Like I now that I'm thinking about it, um I remember I was um pretty like disappointed in myself for not getting bigger

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and and so like uh a major part of my review was finding spots where I could have gotten a lot bigger, a a lot more of my size. Yeah. So, like the gold trade that I was talking about that happened in October, actually, uh October October October 17. Yeah. But, um I think you're referring to the the more recent silver trade in January, right? >> Yeah, I was referring to silver, but if you if you can bring up or talk about either, it would be it would be amazing to to to see. >> One of the the bigger traders that I I kind of respect. Um I I asked him about gold or or GLD

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and he said like to um most of the time you want to focus on the the asset that has the most volume and so that would be GC and instead of uh the equity equivalent which would be GLD and this this was in options. So, um I was trading GD uh and so like it doesn't have the details for like the Asia session which is really important but basically um during the Asia session there was like a really strong gap up that got completely stuffed. Uh and so um I I went back into um a lot of historical analoges on when gold had an overextension and um it tends to uh top around the Asia

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session and then it starts to roll around linen session. The the Asian session is is typically like when it uh or if it does top it would have like a strong gap up that gets faded um and then it starts to roll around the London session. that that that's happened with like um the other historical analoges too even though there there isn't that many. Um and so that that's basically what I was looking for and and some some like structural reason as to why that happens is because um the Asian session is mostly physical. Um and then when you get into the London session that's when it starts to become more electronic. Um I don't

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know why that like uh why that affects price but I guess it does. Um yeah and and so when London session starts to roll over um I was really targeting uh Asia lows. It it doesn't show it right here but Asia lows were like somewhere around here. So it says market open for GLD. Um I was looking for um the place that I'm currently at like they like to call it a up through open. Um, so basically it's just like a a very quick like move up at at open and then it gets stuffed right away. Um, and so that that's basically what happened. Uh, can I draw like a trend line here? Hang on.

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Let me see if I could. >> And how's how's the daily looking at that point as well? Just for anyone who >> Yeah, let me go to the daily chart. >> Yeah, there you go. >> All right. So, >> so this is the daily at that time. Ah, so it had already had the massive gap down and you were looking for a Oh, which day I won on? Yeah, >> it was this it was this day. It was this day. day. day. >> Okay. Okay. Okay. So, it's like three massive gap up whoops in a row. >> Yes. Yes. Yes. Oh, yeah. Yeah. Yeah. Here you go. Like right here. Yeah. >> And And you're

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thinking it's it's it's definitely overextended. It's about to be a short and you're thinking it's likely to roll over. Was it after the Asian session? Asian session? Asian session? >> Uh yeah. I was I was tra I was so I'm in Houston and I was trading this like all night. I wasn't sleeping. Um so I I was following this like the entire Asian session, the entire London session. So by the time New York opened like I was I was just ready to to hit any like um up through open or or any trend line break. Uh and so that's that's what this trade was this first trade. Um let's see. Yeah. So conviction on that

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day. Why? Why conviction on that day? >> Okay. Um there's like here I put the ballinger bands on. Um so there's like some classifiers that I like to use to uh determine like an overextension. So um this is the guildy chart. So it's not as good as the uh the GC chart. Um but you you can still see like there's uh massive gap ups um increasing volume. Uh the volume doesn't look that impressive here, but it looked a lot better um on the GC chart at the time. Um and moving averages, yeah, it was it was it was pretty overextended from the moving average. Um I I like to use a nine or or the

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five. uh and it was like an x percentage above um that moving average. And so that's why I was really interested in that one. >> And so it it's really not that complicated. I mean, you put an indicator on a chart, it's it's hit that indicator, you've got a moving average, it's x% away from it. I mean, everyone can look at the chart and say there's three massive gap ups in a row. Is is your edge like more patience? Is that the differentiator between you and someone else? The patience? Well, I mean, yeah, everyone can look at the chart and see that it's overextended. Uh, I think like something it does have to do with

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patience because like if you take too many hits front side, then you you can't really get too big. Um, you you might be a little gunshy. And also, it's about knowing where to pick spots to risk off of. Um, the reason is because like I mean, if you trade overextensions a lot, you know that these things move like crazy. like um this is my equity uh chart, but like when I was I was also trading futures with it at the same time and um like like one minute candle could like move like what like 30 points in GC, which is like $3,000 if you had one GC contract. Uh which is really crazy. Um, so

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like e even though like you know that it probably is going to mean revert, like if you don't pick the right spots, you're going to be stopped out before you even capture the move. Um, and so like it's the skill of knowing like what what spots to get big at um where you can comfortably risk off of like that. That's what's hard um to to do. So yeah. >> And and just tell me um so this is like this is an equities shot, right? This is the footies that you're trading. Yeah. So, and you're trading it with options. Is that is that right? >> Yes. >> Yes. >> Yes. >> So, why are you trading

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it with auctions instead of equities was the first question? question? question? >> Um, okay. So, there's two things. One, um, I don't have that much capital to like trade a ton of equities. Um and so like so so my thought process going to this was that um I want to have a lot of my buying power um not locked up and so the best the most efficient way to do that is with um options and the reason is because like you know I mean I might be wrong on my first hit right so like I want to split my risk up like still have a lot of buying power to keep on hitting this because

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like I think today is there's a high likelihood that it could roll I didn't know like I mean like I don't think anyone knows the future, but like um so so in order to like to to mitigate that, I kind of split my risk up into like two or three shots. Like okay, I I have um let's say like I'm going to risk $30,000 to capture this trade, right? But I wanted to split that up into three 10k risk trades. So like I can take three stopouts before like I have to, you know, reconsider my my position. Um and yes, that's why I was using equities or or options and also because like um the

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magnitude of the move um would definitely introduce Vega into into the option chain. And so that kind of um makes your your the upside a lot um a little bit more skewed to the upside um which is good in in the long run because you want to have um a positive riskreward. Yeah. >> Yeah. See you in Z zero DTA is this. >> Yes. Yes. This was this one was really good because it um it happened on a Friday. So um the zero DTE. Oh, also one more thing. Um the IV or implied volatility for the for um options whenever like there's an overextession move is like really really high. But um on on a

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zero DTE like if you get closer to the money like that at the money or in the money strike um you're not paying too much extrinsic um extrinsic value on that option. So it kind of makes the the the return pro return profile a lot better as well. Yeah. >> Is that because like the theta is running out or something like that? So it it it >> Yes. Yes. Yes. There's >> less. >> less. >> less. >> Yes. Yes. Yeah. >> Yeah. I'm I'm still coming to terms with the Greeks. Do you know the Greeks? Well, Well, Well, >> I would Yeah, I I think I know them pretty well. pretty well. pretty well. >>

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So, the Vega, can you just kind of explain a little bit what you were referencing on the Vega because it's just it's something >> Vega Vega is just volatility premium. Um so like when so like basically the the nature of the move that I'm expecting is like you know very fast very uh strong pushes lower right and and so that increases the realized volatility for um the the the the specific asset that I'm trading. And so whenever that's the case um the dealers they have to factor in um more Vega premium. Yeah. And so that just boosts like the option prices a little bit more. So I could sell it for a little bit higher,

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>> but it also cost you more to buy because you they're expecting a move down. So the they charge you for a raise. So the Vegas is Vegas is Vegas is >> Yeah. No, Vega is already high, but ideally I'm buying it before the move happens. So like Vega isn't too high and then when I'm selling it, I'm selling it on the way down when the move is happening. And so Vega is exploding at that time. that time. that time. >> Okay. So, you get paid more premium because the Vega guy goes higher when the H because the stock's speeding up at the the the >> Yeah. So, like let's say like right here like

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like Yeah. Like right here like we're still in consolidation. We haven't broken down yet. And so Vega is still high because of where the daily chart is, but it's not super high. But then when I'm selling it here and there's like major volume coming in, then like Vega is exploding down here. And so like I I can I can like charge more for what I'm getting. So, and then in terms of your Yeah, in terms of the executions, you you already explained you're basically you're looking for kind of the push to get into the short. And I mean, it's it's kind of as simple as that. It's three big camps. You've got the Ballinger bands.

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It's expand it's extended from the uh the the moving average. average. average. >> That's you short and that's it. Half a million more or less. >> Yeah. Yeah. And this was the first trade. Um it isn't showed here, but Asia low was around here. So I was offloading into Asia lows and then I also used volume like to exit as well and then so I I held a trailer. This was VWAP. Uh let me see if I could put it on actually. actually. actually. >> Do you know do you know when you say Asia laws what what why does why does the the laws of the Asian market matter compared to the London market? >>

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Yeah. I I don't really know. Um it just it just does from my my experience. Um like Asia low is right here and it just happened to bounce really well off that level. Um and so like I took the majority of my size off there. >> Yeah. >> Yeah. >> Yeah. >> Crazy. Do you want to quickly go through the silver the silver trade because that's like the million famous dollar trade that recently. >> Um let's see. I think I I also hit silver on that day as well. Oh yeah, but silver I didn't have nearly as much size. crazy things while I'm in with silver like uh I heard that like um a lot

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of the a lot of the hedge funds were massively underwater in uh with short positions the Chicago futures regulator pushes the margin rates up to force people people people >> do you know about all of this >> I I have heard a little bit about that but I'm not sure like what is speculation and and what is um what is real real real >> what's real >> yeah si looked a lot better than This this is like very like gappy because it's like the equity chart, but like for the continuous silver futures like it looked a lot better, but um it's still the same thing. Um major gap ups. Um and then this final uh

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move higher had a it has a much steeper slope compared to like the you know the grind up before that. Um there's like a clear um acceleration. Yeah. And then um this on Thursday was kind of the day where a lot of the traders that I trade with thought that it's day one. Um basically day one of the backside. Um so basically there's like front side where it's still going up and then day one where it finally cracks. Um so we thought this was day one. The reason is because uh let's see if I could show it. Um yeah, so this so yeah it also peaked in the Asian session as well on this day.

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So it it peaked and then a lot of people were risking off of the Asian high at this level. Um and then that was the uh the drop. Um and so we thought this was day one and then day two we just hit the continuation. Yeah. continuation. Yeah. continuation. Yeah. And uh and like I think we know that like gold has been on this crazy run because because because from my understanding it's there's been instability with the US dollar as a reserve and with politics and the US and I don't know if it's directly related to Trump but stuff with like >> the US dollar got frozen in terms of Russians Russia's assets and one

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country thought well if you can do it to Russia you can do it to everyone else and then we started having the bricks nations want to trade in gold. China's buying a bunch of gold. There's like rumors of the US dollar being dropped and as a result, people are directly moving to gold is the the standard bearer of currencies. That's my understanding. I don't know if that directly relates to silver, but just to give context for anyone who doesn't know like that is the one of the key drivers behind the gold. >> Silver followed suit. Precious metals followed suit. But >> where the show was, I I'll leave it to to you. to you. to

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you. >> Yeah. Yeah. um like the there was definitely like real um like thematic reasons as to why like silver and gold were u pumping so hard and that's what makes the trade so much better is because like if if everyone can understand like the story behind like why this asset should be much higher than it is um then there's a lot of um money in this market that isn't too um um um well averse in trading is what I would say like um I mean my mom was talking about this trait um so like that you know that just >> what's up >> when when your mom's talking about it it's probably is starting

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to be a short >> maybe yeah and so like that's u that that's what made this trade so good like the the structural drivers behind it um but like the short was entirely technical like um it just all all comes down to like technical analysis. Yeah. >> And is there any specific thing cuz I was talking to you about this before and I I was saying when I noticed that silver was up 15% on the day for the future and it it had only been up like more than 15% 20% three times in it like recent history and I was like all right if it's going to be the day it's probably going to be

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that's the block top. What was your indicator or did you have any if you've got like one way of telling? telling? telling? >> Yeah. Yeah. It's it's the same thing. So, I use uh Ballinger bands like an X percentage above the upper Ballinger band, an X percentage above the uh moving average 95. Um Um Um volume volume increase. Let me see. Yeah. So, there was increasing volume here. Uh it looks much more impressive on on the uh GC chart. Um yeah. Yeah. those factors. those factors. those factors. >> It can really be that simple of an extension of the indicator as an increase in volume and that's that indicates the top. Can it be that

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simple? simple? simple? >> I think that I don't know when the top is going to be right. Um, so I just have to pick spots where the probability is the highest. Like so, um, basically you study historical analoges to see like when it rolled, what were the conditions, what were the criterias? Um, and so these criterias that I I've identified happened to be when um the top was most likely in. And so that's where I'm going to put risk in because like I mean these trades like okay this one was $36,000 in options in zero DTE. So if I'm if I'm putting that much money in in a zero DTE like sometimes I'm sizing for

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zero sometimes I'm sizing for like an an X delta amount. Uh but but either way, it's like a lot of risk and so like there's no way I'm putting that much risk behind a trade unless um the probabilities are in my favor and it's supported by historical analog. People always say that uh history doesn't repeat but it rhymes. And like I think like when everyone's looking at the same history for the same examples of the same thing happening, I mean one there's like fear, greed, and emotion will never change in humans. But the other thing is like we all look back at history of what happened the last time and then that almost becomes a

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self-fulfilling prophecy because so many people are thinking it's probably going to be here. That's that's where it changes if that makes sense. >> Yeah. Yeah. Yeah. And Oh yeah. I kind of want to clarify like I I'm not using like a historical analog to like completely say like h like um or or completely how to execute my trades like so but the the trading part um like when it comes down to like raw executions is like purely technical so you you have to zoom in you're looking at the tape the volume um volume um volume um and then like moving averages VWOP but um when you're out on the daily chart then you're able to

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look more um like historically as what happens when um a stock has a similar daily chart. Yeah. >> Are you what percentage when you're trading is is um technical and what percentage is this is what's happening with silver this is why it's happening these this is x y and zed that the the exchange could do by upgrading the margin rates or this is where the hedge funds are short like how much are you thinking of the big picture and how much are you just trading the technicals? Are you putting the full story together? Are you like you just technical say this so it's this? it's this? it's this? >> Yeah. No, I definitely putting the

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full story together. Um like like I said like the uh the thematic reasons why gold and silver were moving like really helped the trade and so that like um upgraded like the the quality of the trade and and how much I wanted to risk on that trade because like um these blowoffs they happen like very often but but like like for for example um Beyond Meat uh just had like a similar kind of like blowoff blowoff blowoff um but like they never reached like mainstream right like like unless you're like super tapped into like um overextended stocks like um you you won't really know what the recent overextensions are, but everyone knew about gold, everyone

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knew about silver. Uh and so that like really made the trade so much better and so much it it made the trade worth so much more risk. Um but when it comes down to like purely executing the trade, it has to be entirely technical because otherwise like so so um when you trade bigger and bigger capital, right? You can't just risk off of oh um like the the news, right? Like it has to be something technical where like okay this level there's a huge buyer there and so that's what I'm risk off of. or this level on the order book there's um like a key gamma level right like like that's where you can like

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understand okay if it gets above here I'm wrong or um if it gets here then I'm right if you if you can't put those um things to a trade then you don't really have a trade uh I guess I guess you do but that it gets very dangerous because if you're wrong like you could blow up like really quickly uh and so like to protect herself from that like it has to be purely technical. purely technical. purely technical. >> So, so do you know when you were sitting uh and you were shadowing the guy at the hedge fund when you were in your placement was there anything you can tell us that he showed you

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in the order book that's not just the numbers going up and down and and what do you mean by gamma in the order order book? So a lot of uh equities um they're especially US equities they're they're market made uh because they have a well I I guess like the the hyperlquid option chains there's a lot of market makers there and so uh gamma um are you familiar with like delta and gamma and stuff like that >> delta is the direction and is delta is the direction of the trade and how much you get paid on it and is gamma the speed of the direction changes or something like that. Uh yeah, it's a second

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derivative. Yeah. Yeah. I I don't want to say too much about about about gamma. Um but basically like there's certain gamma levels sometimes and and you could like price trades around that gamma level in certain types of ways and so you could use that to your advantage. That that's that's what I'm going to say about that. about that. about that. >> Yeah. No, I think I've seen something about this on YouTube, but it's it's certainly an area I wonder for for anyone to explore more if they want to. Um yeah, the the amount that you've learn I mean you you said that you've been doing this 5 years and uh we'll we'll come to wrapping

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this up now. You you've g tremendous value by the way. It's been an amazing analysis. I mean like you started trading like four or five years ago. You're senior doing the internship. So you must have started at 18 or something did you or 17? >> No, I mean I dude I I've been trading like um well I've been trying to trading for like more than half my life. I've always like, you know, been interested in in like the financial markets um and the stock market. I thought it was like super cool. Um but I never really like really started until um that internship. >> Like what my question to you is like how have you

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learned all of this stuff? Cuz like even though the Greeks you seem to have like an intense knowledge of trading at 21. So where did how did that come about? Where did you learn it? just interest like I I've been like very interested in it and I've been like pursuing it a lot. So just like talking a lot of like reaching out to a lot of people are where you want to be. Um like like traders that you respect like um just always being curious and also like um with Chad CBT like ever since that like you could um very you could shorten your learning curve like very quickly just just using like artificial intelligence.

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intelligence. intelligence. >> It's insane, isn't it? like uh yeah, I'm I'm trading biotech right now and like I got profitable pretty much immediately trading biotech by just spending hours upon hours upon hours of reading reading books that I don't understand and reading them with chatter BT just saying what does this mean what does that mean can you clarify this take a picture of the page can you just explain this in a more basic way and and books that I'd previously not been able to understand have accelerated v learning curve by five years five years five years >> and if if traders aren't doing this they're gonna fall really behind because like education is racing ahead

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because of AI. of AI. of AI. >> Yeah, I've loved talking to you. Uh I love I love to get someone who's made so much money on a gold trade and a silver trade and trading so many different assets. We'll just very very quickly close on just a quick preview of your screen. So this is you've basically done in the last seven months zero to to 555,000 555,000 555,000 verified. Quite a smooth chart. Um and this is futures is it? No, this is just equities. Just options. >> Just equities. And this is trading a lot of um let's have a look. Uh are you are you sell is that like kind of selling premiums when

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you're taking put options or is that just >> you never sell premiums? >> No. No. You never sell pre >> Yeah. >> Yeah. >> Yeah. >> So when you're trading put options, what do you you you're just looking for stocks to to drop to your targets. That's it. It's like another way of kind of shortening with equities but with options. options. options. >> Um. Yeah. Yeah. And then like you just have to like uh like understand what strikes you're getting and like the their delta values. So like if you're expecting like a slow grinding move, maybe you want, you know, a 50 delta, but then if you if you're expecting like um a more sharp

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fast momentum move, then you could get like a 20 or 30 delta option. So yeah. >> Um and look, you've got a very nice pro uh profit curve. Is this this 500,000 560,000 that's that's what you both verified on Kimple but do you have other profits elsewhere? profits elsewhere? profits elsewhere? >> Yeah. Yeah. >> Do you have any look you've you've done incredible you your learning curve is someone of the same age as someone who's probably 80 and been doing it their whole life and you've been doing it probably with the help of AI at the age of 21 which is mind-blowing. Do you have any tips and advice for someone to get where you

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are in the same amount of time? Well, I would just say like uh just just be genuinely curious like like I think financial markets are are very interesting. Um I think the order book is very interesting. Um just just just be curious and like use like any resources that you can get and don't be afraid or or don't shy away from like new new things. U because change is change is like um a guarantee. Um, yeah. >> But is there is there like some options books here for it? Like some like courses you pay for? Like um I mean like like GPT really helps with options. Um I I would say like like books are

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are are are they're good. Um but like with GPT nowadays, you might as well just use GPT. Um GPT. Um GPT. Um >> you just sit and have a conversation with it. with it. with it. >> Um yeah. No, I I I I talk to uh GPT like I I I max out like my my credits just like talking GPT wherever I'm interested in like a certain um new strategy or a certain setup um like options algorithms. Yeah. algorithms. Yeah. algorithms. Yeah. >> And it just gives you the answers like it just it just it just >> No, I I I I kind of um sorry I I kind of have like more discourse with

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it. Um, I'm not entirely expecting answers because like I don't sometimes like I I think that I'm more right compared to GPT. Uh, um, so like it it's just like like I'm having discourse and then like I I you know forward test that with the markets and like actual performance. >> Yeah. But for example, the last thing when you're learning like how to trade options and what the correct delta is for a position like where do you learn that from? How do you learn that? >> Uh trial and error. like um like you just got to like trial and error, maybe back test, see what works. Um GBT won't help you on that one. Yeah,

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>> you're a you're a level above many traders that I've spoke to. Um but I think there's a huge amount of people can learn from you. You you've offered tremendous value so far. Is there any links or anything? Do you have any links or anything that you want to share or >> just No. Yeah. Just a transparent trader that wants to help people. I don't I don't even know if I want to help people. I just I I'm just I'm just a trader. >> Yeah, >> Yeah, >> Yeah, >> just a trader that. But ah but you did the podcast. You've given some amazing advice. advice. advice. >> Yeah. I mean I I don't really

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like um to like teach because I feel like once you teach, you stop becoming a student. Um so I I don't really like to, you know, uh teach because I I don't think I'm like qualified to even help anyone yet. >> Yeah. man, you're super qualify. You're super qualified, but maybe maybe in uh maybe in 10 or 20 years, you can pass it down and and change some people's lives. Who knows? Who knows? Who knows? >> Maybe. Maybe. Yeah. >> What What's What's the plan? Sorry. You're an interesting person. I've got lots of questions for you. Last one. Like what's what's the plan for the rest of your life? What are you going to do?

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Like buy a boat or buy a boat and sail around or what what's the what's the goal? goal? goal? >> Um I have I have big plans. Um like I'd want to scale this as much as possible, but you know like like trading is a little bit hard to scale like when you get to like you know really big like hundreds of millions. Um because like there's like liquidity constraints and also like um tech technological issues as well. Um but but like we we'll see when we get there. Um but but yeah, like maybe you know um try trying to scale my trading as much as possible. as possible. as possible. Maybe start my own

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fund one day. Maybe. I don't want to like, you know, speak too soon. But yeah, >> if you weren't going to say it, I was going to say it, Ben. I was going to say I'm um I can say it here first. I'm looking forward to seeing uh your hedge fund on on Wall Street at some point because it's there's it's very very rare you meet someone who seems so switched on with such in-depth knowledge at your age who's already got proof in the characteristics, the personality traits, the discipline, the control, the the the lack of emotion in the right way like that. Do you know that like you have the right emotional level to

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to like be mature about trading the market? something that took me like 38 years to even get onetenth or 120th of way or 150th even. 150th even. 150th even. >> So I would say it took me a while as well. Like I mean I I'm definitely like like pretty emotional like still and like I was pretty emotional like back then as well. Um so it definitely takes time. So time. So time. So >> anything you did with your discipline to sort it out or get better or did you just lose a lot of money and feel sick? Um, Um, Um, I guess I think you just have to be really competitive. Um, like like competitive

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with yourself and your performance. Like there's always understanding like how can I get better? Um, because I mean like like losses they definitely hurt but like if you can turn them into like a learning experience like okay like losses this is opportunity for me to get better better than I was yesterday. Uh if you flip it like that then um it won't hurt too much and uh it'll speed up your learning curve. Yeah. Yeah. Um, is your family like super ambitious? Are your dad super ambitious? Do you have something to prove to someone? I'm just trying to understand. understand. understand. >> I mean, my parents my parents are are very supportive. Like, they don't um

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they just want me to like be healthy. That's basically all all that there is. Yeah. Yeah. I'm bas I'm just doing it for myself because I I'm a really competitive person. Yeah. >> And you know where that comes from or you have no idea. Um, well, I mean, like I there's like a game called like Clash Royale. I don't I don't know if you've heard of it. Um, but I I play that game a lot and like I'm I'm one of the best players in the world. Um, and so like I I think it comes from like Clash Royale. So, yeah. >> Beautiful. All right. So, you're one of the world's best at that or

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like one of the top in the world like ranked or something like that? >> Yeah. Yeah. Uh, yeah. I'm ranked pretty pretty well in Clash Roy. >> Okay. All right. Well, uh we'll leave it there. I took too much of your time, much more than I said that I was going to. So, we'll cut it there, Ben. But you unless you got any final golden nugget, uh any final advice? If if you've got anything you want to say, I'll leave the phone to you. But yeah, it was a pleasure. pleasure. pleasure. >> Yeah, it was a pleasure, too. This was a really nice conversation. Yeah. >> Thank you so much, buddy. I'm looking forward to

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getting it live. Yeah. >> Cool. Thank you. Have a good day.

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The Delta-Neutral Setup: How To Profit In Any Market Direction

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📅 Uploaded: 2026-06-06

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⏱️ Duration: 1:15:24

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👁️ Views: 200,459 (Rank #1 of 1)

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💬 Comments: 226

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📼 Playlist Progress: 2:30:48 of 1:15:24 (200.0%)

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⭐ Join Kinfo for free and follow what top traders like Ravish are trading: https://kinfo.com/signup

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👉 Check Ravish's performance on Kinfo: https://kinfo.com/portfolio/66957/performance

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👉 Learn more about Ravish: https://optionskit.com

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Most traders spend years studying charts, indicators, and price action.

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Ravish took a different path.

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After years of trial and error, he built a systematic options trading approach based on probabilities, option Greeks, and risk management. Today, he has over $327,000 in broker verified profits on Kinfo and is documenting his challenge to grow a $100,000 account into $1 million.

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In this episode, we get into:

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• Why Ravish stopped looking at charts and started trading purely from probabilities

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• How delta neutral strategies can profit in bullish, bearish, and sideways markets

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• The option selling mindset that turns traders from gamblers into “the casino”

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• How calendar spreads can generate returns while time works in your favor

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• How he uses AI and custom backtesting tools to validate trading ideas

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• Why some of his best trades come from doing nothing during major market events

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📖 Chapters:

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0:00 Intro

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1:00 $327K Profit Without Looking At Charts

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3:25 Why Option Sellers Have The Edge

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7:46 How Ravish Got Started In Trading

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12:24 What Is Delta Neutral Trading?

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23:04 Risk Management And Protecting Capital

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34:27 A High Probability Earnings Strategy

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39:23 Using AI To Backtest Trading Ideas

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49:52 The Theta Machine Explained

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1:11:04 Final Advice For New Traders

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✔️ Follow Ravish: https://www.instagram.com/heyravish/

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✔️ Follow kinfo: https://x.com/Kinfo

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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🔴 Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal #OptionsTrading #TradingPodcast #StockMarket #OptionSelling #ThetaGang #Investing #TradingStrategy #Kinfo #TransparentTraders #Ravish #chatwithtraders #deltaneutral

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You can make a lot of money. The strategy is easier. It's based on maths. So, if you can do basic maths, you can do it. If the market stays flat, I make profit. If the market goes up, I make profit. If the market comes down a little bit, I make profit. My goal was to double the account in 1 year, but I ended up doubling it in just a few months. In a delta neutral strategy, instead of predicting the market direction, we take both sides of the trade. So, even if I start from $100, the price goes to 95, even though technically the stock is down, but I'm still winning. As the time passes, you

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see this gap grows because your near-term option is growing at a faster rate. As this gap grows, this is our profit, but this is where our edge comes from. Based on the back test for several last years, I know what the win rate is going to be, what the expectancy is going to be, and I can just execute that strategy every week. >> So, you you are the casino. >> You can say that. >> Welcome to Undiscovered Traders. Today, we welcome Ravish from Greater New York, currently completing his $1 million challenge trading two very unique strategies we've actually never had covered before on the podcast. Joined him for last year, already setting up $327,000 $327,000

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$327,000 in broker verified profits. And this is kind of the crazy part. He's done it without ever looking at a chart and executing roughly 2 hours a day. So, this is a potential strategy for part-time traders. And today, we're going to look at his delta neutral strategy and his time spread strategy. He's got a full deck, full strategy all prepared to walk you through walk us through for you guys. Full value, but first there first there first there How are you, Ravish? >> I'm good. Very well. Thank you for having me. having me. having me. >> You've made I mean, we've got like 300,000 plus verified. I think it's a bit more than that. But

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you've made $300,000 $300,000 $300,000 without without without uh looking at charts. Can you just What do you look at if you're not looking at charts? charts? charts? >> So, I make my trades using option Greeks. I'm an option seller. So, the strategies that I practice are actually systematic strategies. They are based on option Greeks and options data. And everything is priced into those premiums, and we can use that to make these trades these trades these trades without having to worry about what's going on in the chart. >> Nice. And I just want For the For the people watching, comment below like what your experience level is with options. I'm just curious uh if people how

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how experienced they are in it because I think options are starting to boom now, but what would you say is the kind of the advantages to the strategies that you're about to kind of walk people through and teach people today? today? today? >> So, most people when they start with options, they start by buying options. They buy call and puts. And when you do that, you are fighting against the time because there is something called theta premium. premium. premium. And your option decays very rapidly. And if the price does not move fast enough, then your options go to zero. So, statistically, 80% of the options go to zero. And that's why most option buyers lose

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money. lose money. lose money. So, that means people who are on the selling side of the options, they can win most of the time because they are the ones selling these options. >> You were telling me a couple of things just before just before just before um before we went on the air, and it was kind of you you said that your strategy was too easy. Was it or was it was hard it was hard to go wrong? Tell me a bit about that. >> So, it's it's too easy for me now because I've been doing it for many years. years. years. Uh but for someone who's new, it's initially going to be definitely there

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is going to be a learning curve, but it's well worth it. >> It's very easy to make mistakes. But for with your strategy, you were saying there's more of a a margin for error. Can you tell me a bit about that? >> Yeah, so most traders what they do is they try to predict the price. They look at the charts, they look at the patterns, and they try to predict where the market is going today, where is it going next week. And uh based on the chart patterns, statistically, there is no real proven edge in it. Some people have developed their system with a lot of experience and instinct. But if we we are clearly

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looking at technical, there is no like clear technical pattern which we can say that you just follow this pattern mechanically and it's going to work. work. work. But when we come to the option selling side, there is a risk premium baked into the options. So when you are selling options, you have an edge. And I don't have to be precise on my timing or my entry. I can have a lot of room for error. The market can go up, down, or in circles, and I can still make profit in any market condition. So last year I started a brand new account. Now in the past I've made millions in profits, but last year I was

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like, if I were to start a new account with $100,000, can I make 10K a month with it? Which is like a goal for a lot of people. people. people. So So So turned out that was too easy. Right off the bat, in the first months I started to make 15, 20,000 dollars with it. My goal was to double the account in 1 year, but I ended up doubling it in just a few months. So I was like, this is too easy, I need to level it up. So then now my new benchmark is how do how fast can I grow this to a million dollars? There's no fixed timeline for it, but we are

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now 14 months in, and the account is already at 450,000 now. >> So many people are getting 10% interest a year. a year. a year. I mean, how many hedge funds are out there? And people are putting all of their savings, 100, 200,000 of their savings, and they're lucky if they get 10% in the year, if it's a good year. Especially in the United States, it's it's been a little bit the the SPY and the Qs have been returning less than than the markets in Europe these days. >> Yeah, absolutely. For most people, 10% a year is the S&P benchmark. And here I'm able to compound this account in 10 to 15% a month. Now,

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when people think of compounding, people think of compounding on an annual basis, but compounding is actually based on intervals. It can be a monthly thing. It can be quarterly thing. The faster you can compound the shorter intervals you have, the more profit you can make with it. >> So, I've got two questions really for you. I mean, first of all, I think it's it's an incredible return on investment of a system that returns 10% a month kind of systematically rather than discretionary day traders who are making 25% or 30% over a couple of months and then they've lost 100% when they blow up on shorting the crazy meme stock or something like that. I think

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I'm really looking forward to getting into your strategy, but I mean, first of all, all, all, um um um do you need a lot of money to do this? For the people learning, can you start small? small? small? >> Yeah, absolutely. You can start with as little as you want. In fact, if you're new, I would recommend you to start with as little as possible because no matter what strategy you try, there is going to be learning curve. Initially, you can lose money. lose money. lose money. So, the goal should be to lose as little as possible while you're learning so that you don't get you don't get hurt by the market. The The mistake

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some people do is they start with two large positions. They have a couple of bad losses, and it sets you back and and it demotivates you from even trying something new because you might be close to getting a positive expectancy. You might be close to getting that edge, but now you have had a setback, you are going to stop trying it. trying it. trying it. >> How easy is this to for people to learn and replicate because I think for some newer traders these are some scary sounding words delta delta neutral time time spread strategy. >> So >> So >> So most people the thing is that most people are not aware that something like

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this exists. this exists. this exists. But once you understand the basics at some point it will become a second nature nature nature because because because if you are brand new to trading there is a learning curve but this is way easier than charting and technical analysis and doing all those patterns and indicators. >> I love that. So it's easier. It's it's the strategy is easier it's just less conventional. conventional. conventional. >> It's based on maths. So if you can do basic maths you can do it. >> And just just lastly first you have a YouTube channel right? So people want to watch this and learn more about it. You've got a ton of videos. >>

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Yeah I teach almost all of my strategies in-depth on my YouTube channel. So if you like any of these strategies you can go to my channel and watch full videos on them on them on them where you can learn them how to get started with it. >> Guys and the the link is in the description below and just before you go through your strategy two strategies actually two option strategies before you go into that just quickly I know I know we've we've only got 300,000 verified for you on Kimble because because you've just uploaded the broker last year. last year. last year. So what's how long you've been trading for? What's your total profits? >>

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So I've been trading for almost 10 years now. Initially when I started it was it was actually a stroke of luck. I went to the Robinhood app to buy stocks. My goal was I will buy Fang apps Fang stocks. stocks. stocks. And when I clicked on the trade button it showed another button called trade options. options. options. So initially I thought it would give me some options some advanced options to submit my order. And then I clicked on it and learned about calls and puts it was something brand new to me. And I was like this sounds fascinating. I can control with 100 shares of a company like Meta for just a few hundred dollars.

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dollars. dollars. So, I was like, okay, let me try it. And I put in $500 in my first trade. Next day, it turned into $2,500. >> Oh. >> Oh. >> Oh. >> And then another trade next day, next day overnight trade, made another $1,500. So, in my first week, I made like $5,000 without even knowing what I was doing. was doing. was doing. And I started my account with just $2,000. $2,000. $2,000. So, I was like, this is amazing. I'm now going to do this and retire from everything else. I was working in tech back then. back then. back then. So, I was like, this is too easy. I should do this all the time.

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But but that beginner's luck didn't last very long. And then I losing money as most traders do. And And And I spent several years trying to chase that rabbit hole doing technical analysis on charts, buying options, losing money. losing money. losing money. It was an expensive lesson. But I think every trader needs a journey like that to get to a point where you find something that works for you. And then I learned about option selling. And And And I was like, this I like this because I don't have to look charts, I don't have to be good at technical analysis. I can just do simple maths and bet on probabilities probabilities probabilities and have the

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house advantage. Because when you are buying options, you are like a gambler trying to time the market or play your luck. But when you are selling, you are the house. You have the house advantage. house advantage. house advantage. >> So, you you are the casino. >> You can say that. >> You you are the casino. It's like It's like rubbish palace, not Caesar's palace um in Las Vegas. But I'm curious to get into it. Do you want to open up the Do you want to open up the deck and and let's see let's see this strategy. >> Okay. So, a little bit about me. Uh been trading options for more than 10 years now. I

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had a career in tech. I retired from my career a couple of years ago when I hit a point where my options income was more than my full-time job. So, at that point it made sense to go all in on it because I thought that I could be I should be able to do much better. better. better. And uh like I said, I started out with the beginner's luck. But then there were several years of period where it was hit and trial, losing money, learning different thing. I had a big setback during COVID period. By that time I was like, "Okay, I need to do something better here." better here." better here." Because uh most

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of because buying options I'm losing most of the time. So, I learned that there is a selling side of options also. Who are making profit off me. off me. off me. So, I decided to learn that side. I started selling options. Initially, when most people start with selling options, they start with simple strategies like selling cash-secured puts, selling covered calls. Which can work well. A lot of people make 20 to 40% annual return with those kind of strategies and they have been battle-tested for many years and they work well. And they have a lot of margin of error. Um Um Um but then I was like, "Okay, how do I do something better?" Because at

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that point my account was relatively small. I was trading with about 20 30,000 dollars. So, even if I made 10 20 percent in a year, it was not really worth of the time. So, I was like, "I need to do something exponential here." Um and then I started to contribute more to my account. I was growing my account consistently. I started to use some more leverage. leverage. leverage. And I was doing really well until 2022. In 2021, I had a blockbuster year. year. year. And in 2022, I realized that was a bull market genius. market genius. market genius. That when everything is going up, it's easy to make money. When everything goes down, you get

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crushed hard. crushed hard. crushed hard. And uh And uh And uh at that point I decided that I will focus on something called a delta neutral strategy. neutral strategy. neutral strategy. In a delta neutral strategy, instead of predicting the market direction, we take both sides of the trade. And if the market trades in that range, you make profit. And the best thing about that is that delta neutral strategies are even more profitable in a down year like 2022. >> Nice. Interesting. So is a delta neutral is is it kind of like you want the stock to stay where it is? Or like is it like a butterfly pattern or something like that? that? that? >>

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Yeah, there are a lot of different patterns. Uh patterns. Uh patterns. Uh delta neutral is one umbrella term for several different option structures. Simplest one is triangle and iron condor. We can dive into some examples on how they work. Uh once you understand, it's fairly easy to do. to do. to do. >> But can I just understand by delta neutral what you want the stock to do? When you when you place an options trade, what you want the stock to do? >> We want the stock to trade in a range. So, for example, >> Okay. So, let's say we have a stock that's trading at $100. We start here. And then we sell a put

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at $90 and we sell call at $110. So, we have 10% up and down range. As long as we stay in this range, the market can go up, down, or in circles. As long as it stays in the range, we get premium from both sides and we keep that premium. We sell call to someone, we sell put to someone. someone. someone. And we if we stay in the middle, we win. So, even if I start from $100, the price goes to 95, even though technically the stock is down, but I'm still winning because it is still above my 90 strike. >> Yeah. Yeah, makes full sense. I'm not going to ask any more questions. I'm

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cuz I think you you I'll I'll ask you questions later in the presentation. So, I'll let you go back and then we'll continue. continue. continue. >> So, I've been trading Delta neutral for several years now and at this point I've become like a very good expert in it. And my strategies are a very systematic. They're based on backtesting. And And And a lot of these strategies are mechanical and even automated. So, the way it works is let's say I find a strategy where I open a trade at a fixed day at a fixed time with a fixed structure. structure. structure. And based on the backtest for several last years, I know what the win rate

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is going to be, what the expectancy is going to be, and I can just execute that strategy every week. So, using strategies like these, uh my goal was to make $10,000 a month on a new account with $100,000. And now this account is up to 456k including unrealized gain. My initial goal was to just make $10,000 a month. a month. a month. The most fascinating part is that now this account that I just started with 100,000 last year, it is making more than 50,000 in a month. month. month. If you see on Kinfo, my last one month realized gain is $97,000. And this month currently month to date is $70,000. is $70,000. is $70,000. So,

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it is just like crazy to me that you can make this kind of return with just just starting with 100,000. Now, if you have smaller account, you can start with 10,000 also. 10,000 also. 10,000 also. But, it will need time and experience to get to a level where you are able to produce returns which are phenomenal. >> Yeah, it's it's it sounds quite interesting because I it's not re I mean, is there a lot of creative creative thinking in the backtest and finding formulas or is it just very process process driven and repeating repeating what the data says? >> It is based on data. So, a lot of the data is actually based on the

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option Greeks. So, once you understand the option Greeks, initially it might sound a little bit complex, but if you just spend some time to understand it, understand it, understand it, it will unlock a whole new world for you, which I I'm sure it's going to be life-changing for most people. >> And and the Greeks are the Greeks aren't some some color it's the No, it's I was going to say the Greeks aren't some coliseum in Rome Rome, but it's I think that's that's a different country, but the Greeks aren't too the Greeks aren't too confusing really. What what what are the Greeks for the people I don't don't know. It's it's alpha, delta, gamma, theta,

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and implied volatility. implied volatility. implied volatility. >> focus on the Let's focus on the two simplest Greeks for now, which most people can easily understand. And 80% of the time you just rely on these two Greeks. Greeks. Greeks. One is delta. A delta basically means a multiplier. a multiplier. a multiplier. Right? So, if I have a If I have a stock that's trading at $100, and I buy a call option, which is currently at 20 delta, that means it will have a 20x multiplier. For every $1 the stock is going to move, my option is going to go up by $100 by $20. $20. $20. >> Yeah. >> Yeah. >> Yeah. >> So, that means

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if I buy this call option for Let's say I pay $200 for it. And I buy that call option, the stock goes up by 5%. So, stock goes up by $5, that means my option can gain five about 5 into 20 is $100 in premium. >> Yeah. >> Yeah. >> Yeah. >> So, an option that I bought for $200 can make 50% return if the stock goes up 5%. 5%. 5%. >> Yeah, makes sense. >> And now another way that this option represent is that if you as an option buyer, you are buying a 20 delta 20 delta call delta call delta call the chances of you making profit in it is only 20%. >>

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And if right >> If I'm selling an option and I'm selling that 20 delta option to you the chances of for me to make profit in that is about 80%. about 80%. about 80%. >> Is that is that true when when you read it out or is it you read the delta as 0.2 on the screen don't you? Like that's that's normally how it shows up and that literally means 20% chance of this working does it? The the Greeks the the machine is is is suggesting that. suggesting that. suggesting that. >> Yes, so that means it has 20% chance of expiring in the money. That means it will make some profit in about 20% of

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the times. So as an option seller if you are selling 20 delta calls or 20 delta puts you are going to make profit most of the time. time. time. >> Interesting. And obviously if that delta changes by which how far out away from the the money the the puts are or the calls are that you're buying the the delta would delta would delta would >> Yeah, it can be it can be it starts from like at the money is $50. The further out of the money you go the lower delta it's going to be. There are some option sellers who even sell like five delta option. They will have 95% win rate. But it but

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there is also another side to it. it. it. In one of case where the market has like a parabolic run they can also lose more than what they are making in in a single loss. So their losses are going to be bigger but they will have a higher win rate. So you have to optimize for the balance where I have high win rate with an even risk reward. So I personally like trades where I can have 70 to 80% win rate with an even risk reward. If I'm winning I'm making $100 if I'm losing I'm losing $100. $100. $100. That means as long as I win more than 50% of the times, I can be

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profitable. So, in actual terms, my win rate is like 70% to 80% varies month on month. Last 2 months has been close to 100% and you can trade it in many different ways. There are a lot of you can put together two to four options in a spread and come up with a lot of different strategies where you can construct a very sophisticated trade which can give you a lot of edge. >> And do you know what do you know what I think is uh is cool from what I'm understanding of your strategy is most people cuz people cuz people cuz I've traded with a lot of small cap micro cap equities traders and um

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the main thing about the complaint about is markets are quiet, it's dead, summertime July August. But your strategy probably loves summertime because you you want nothing to happen. The less that happens is the better. Is it not? it not? it not? >> Yeah, absolutely. We actually love the choppy market. Now, most traders complain about losing money in the choppy market especially if you're buying option in the market is choppy, your option goes to zero. That's what option sellers love. We like to sell options in that choppy market. Now, most of the time market is choppy. choppy. choppy. So, we sell options in that choppy market and make premium from both sides and your options expire

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worthless, we make money. make money. make money. >> Yeah, so you don't you don't love the the AI boom and revolution and Sandisk and Nvidia. You're you're loving the the boring uh what supermarkets or consumer staples is it that kind of more boring more boring industries like Walmart? Walmart? Walmart? >> So, I invest into I invest into all types of companies. I may very bullish I'm very bullish on AI and tech and I have lot of investments in all the big tech companies, AI companies, semiconductor companies. Uh when it comes to selling options, I am agnostic to the stock. The fundamentals of the stock does not matters to me. The uh uh uh the technical

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I don't do a lot of technical analysis. technical analysis. technical analysis. I look at stocks which have like a predictable range. predictable range. predictable range. And I trade options in those range. Now, there are some uh some periods where you can expect higher volatility. And in those periods, I would just step out of the market. Yeah, it's like selling insurance. So, let's say um you want to if you're selling insurance, you want to sell insurance where you have low risk. If you know that there is a flood warning warning, are you going to sell insurance in a flood warning? I'm not going to. I'm going to step out of the way. way. way. Even if

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it means that I do not make any trade for a month, I'm going to be okay with that. with that. with that. Because it is better to not trade and not lose money than going in the market and risking taking unwanted risk and losing money. So, you have to pay some attention to the macro cycle, what's going on in the market, is there any war going on, is there any FOMC coming? coming? coming? So, just step out of those events and most of the time it works well. Another great thing Now, this is a screenshot from my broker. The best part about the strategy is that if you see, it is up like 300% in

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uh since I started. But there is very little drawdown. It is pretty much going straight up. Then there are periods of flat months where like I said, I stopped trading in some months. You see like this flat period, like this was Iran war situation, I was flat. flat. flat. Because why take unwanted risk? Uh Uh Uh so, my drawdown is in single-digit percent. Typically, traders who make this kind of returns will have very high drawdown. They will have 50-60% drawdown at times. Here I have almost no drawdown. So, it's very low stress strategy for me. And even this this during this period, there were multiple drawdowns in S&P ranging from 15 to 20%. We went

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through the tariff situation. We went through the Iran war. S&P had multiple big drawdowns. My account had almost no drawdown. >> Yeah. Yeah, I think you can't stress that enough. It's It's we literally we literally we literally So, like two 10 to 20% drops in in the queues and the spies for the tariffs and the war. Yeah, it's incredible that you've uh you've uh you've uh >> Right. Now Now, a lot of people will say that oh, if you are making 300% 200% return in a year, you are beating all the hedge funds. Uh you can be a trillionaire in few years. If you are compounding at 200%, you can be a trillionaire in few

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years. >> True. >> True. >> True. >> But, that's not possible because of liquidity. In a lot of these trades, there is not enough liquidity enough liquidity enough liquidity that I cannot go out and put a billion dollar trade in a strategy like this. So, I can trade a few million dollars with a strategy like this, but I do not I cannot trade billions of dollars in a strategy like this and still generate same kind of returns because then you become the biggest position in the market and market makers will hunt you down. And And And so, so, so, there is liquidity concern where which is why you cannot scale it infinitely, but I'm happy

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to make a few million dollars. I'm not even thinking of that level. level. level. Uh Uh Uh and the other thing is the mindset and psychology. psychology. psychology. As my account size uh sizes are growing, I do not feel comfortable risking large amounts of money because capital preservation is the priority for me now. When you're starting with let's say $10,000, your goal is to get to $100,000. $100,000. $100,000. When you have made millions of dollars, you want to protect those. So, instead of which is why I was like, okay, I will start a new account with 100k because I can afford to lose 100k. It If it goes to zero, it's not going to affect

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me. affect me. affect me. But, using that risk capital, I have swing I can take a shot at making it 10x. 10x. 10x. >> Yeah. >> Yeah. >> Yeah. Fair. Makes sense. And And it's it's great it's great learnings and examples for newer traders who need a uh amplify their accounts and and turn 1,000 into a couple. >> Yeah, so anyone who wants to do trading, what I would recommend is like allocate a certain risk capital which you are okay if it if you lose it. That's way That way you can protect your bigger capital. bigger capital. bigger capital. But, and risk small amount to get to a point where you can be consistently profitable.

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profitable. profitable. So, uh let's get into the strategy. So, my first strategy is called delta neutral strategy. Now, this is an umbrella term for a lot of other strategies. strategies. strategies. Strategies like strangle and iron condor. condor. condor. Uh the main the way this strategy works is is is uh let's say you are an option buyer. You think the stock is going to go up, you buy call. If you think the stock is going to go down, you buy a put. What I think is I don't care where the stock is going. I'm going to look at the data. data. data. Let's say a stock is trading at $100. And my data says that in

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a given time period, let's say the time period is 1 month, month, month, I think that this stock is going to trade between 10% up or down range. Based on the data, I can tell that uh in a month, the trading range for this stock is about less than 10%. Maybe it's 5 to 7%. So, I'm going to add some buffer to it. And I'm going to sell a put which is 10% down from the current price. And I'm going to sell a call which is 10% above the current price. And I'm going to collect premium from both side. So, the put buyer is going to pay me credit. The call buyer is going to

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pay me. As long as the stock trades in this in this range, both of these expire worthless and I get to keep that profit. >> Can I ask what happens if it's very rare to happen, but what happens if happens if happens if um I don't know, it's British British Airways. Yeah, yeah, it's a safe uh American Airlines, something like that. It's a safe type of player that you play and one of the planes crashes or they found out that every single broken and it's a complete crisis and and the stock goes from 100 to three overnight. Is will that be a big loss? So, big loss as well. >> So, there are two ways

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to do this. One is defined risk and one is undefined risk. So, let me show you with an example. example. example. So, I use this tool called Option Strat to model my trades. Uh so, the simplest strategy is called strangle. So, let's say I want to make a trade on Meta. Meta has been through with the earnings. After earnings, there is a period of choppy period when the market tries to discover what what's next. So, I think I think that next 1 month can be like a calm period for Meta. The stock is trading at 605. I can go sell a put at 505 strike and I will get $380 $380 credit from it. And

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I can sell a call at 650 strike. And I will get $738 credit. So, total I'm getting like close to $1,120. $1,120. $1,120. And now, this gives me a range where the stock can go up or down in between this range, right? So, the price starts here or the next 1 month, the stock can go up or down like this. As long as it stays in this range, I get to keep this profit. And getting into this trade, you will know exactly what your chance of profit is. is. is. So, before I open the trade, it shows that I have 75% chance of winning this trade. trade. trade. And when I lose, I can use

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a stop loss. If the price goes out of this range, I can exit. >> Uh okay. So, it say it can >> of the times I'm winning and winning. And if it starts to go out of this range, at that point I can exit. My loss is going to be maybe a few hundred dollars. dollars. dollars. But there is another way to do this. Now, this kind of strategy you can say it's You can see here it says max loss infinite. infinite. infinite. If let's say there is a big news overnight, Meta stocks goes up or down 20%. At that point, I can lose more than this $1,100. this $1,100. this $1,100. >> Yeah. >>

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Yeah. >> Yeah. >> So, in that case, what I like to do is instead, this is called selling naked strangle. strangle. strangle. So, I typically don't sell naked strangle like this because it has infinite risk. infinite risk. infinite risk. So, I like to hedge it by buying outside wings. wings. wings. So, let's say if I'm selling 550 put, I can buy another put, which can be 10 points out. points out. points out. >> Yeah. >> Yeah. >> Yeah. >> And I can buy a call, which can also be 10 to 20 points out. Now, in this trade, my credit goes from receiving about $1,100, it goes to $269. But now my max loss is capped

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at 731. Now, no matter what happens, I'm not going to lose more than $731. >> Is it not just better to have the the stop in cuz with with options, it's can be tricky and they say don't use stops because you can get tugged out too easy. Is it Is that the reason why or cuz you don't you pay an extra premium unnecessarily, no? unnecessarily, no? unnecessarily, no? >> Yeah, so but if you are selling a strangle, it is not recommended for most people because you can have like a big black swan risk. What if there is like a recession or black swan risk overnight and the market drops 10%? What if there is something

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like COVID? So, you don't want to get wiped out on on those days. >> Yeah, cuz I I was thinking the options don't trade after hours, so you'll be okay. But that doesn't mean the world stops. Anything happens overnight and the stocks going to open up 20 30% out. So, you can completely protect yourself. This is what I love about options. You know your exact risk, your exact reward, and the exact probability of the occurrence. occurrence. occurrence. And you You must You must You must go to bed sleeping like a baby. You must sleep very well at night because everything's already worked out. >> Yeah, absolutely because I know that my probabilities are going to

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work out. And plus I I spend some additional time back testing to find these opportunities. Now, for example, let's say you opened a trade like this last week. Last week when Meta was at 708. At that point, this same option spread was trading for 332. 332. 332. And now the price is doing thing. It's going up and down, but you see the above line line line is the trade. The bottom line is the stock price going up and down. This line is the trade price. There is some volatility, but you see that it's mostly going up to the right. >> Yeah. >> Yeah. >> Yeah. >> And as long as the price stays in this

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range, range, range, the premium is going to decay and we make profit. make profit. make profit. And you can do these trades for any duration. You can do it for um one-day duration. You can do it for zero DTD. You can do weekly. You can do monthly. In fact, I also do some zero DTD trades where I have asymmetric risk reward. I can even structure these trades that I want to risk $1,000, but I want my reward to be $2,000. All you have to do is play around with the strikes and probability and whatever you are comfortable with, you can go with that kind of setup. >> And then this is delta neutral because you're

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neutralizing the delta basically with the with the with the both sides. Both sides the call and the option. option. option. >> Yeah. And then there is another if you Now some people are like I I want a better risk reward. So either you can have a high win rate or you can have a high better risk reward. reward. reward. I like a balance where like in a trade like this typically when I start to lose there are also some adjustment strategies that I can use where in most cases my max loss is not going to be like this. like this. like this. So in a winning trade let's say I win $250 in a losing

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trade maybe I lose $300 but I'm winning 70 to 80%. But if you want to structure it in a another way, there is another strategy called iron fly. fly. fly. Let's try this on something like Nvidia. >> Yeah. >> Yeah. >> Yeah. >> Another great way to sell is like Nvidia's earnings is tonight, right? People don't know if the stock is going up. Some people are saying it's going to go up. Some people say it's going to do go down. go down. go down. I don't even care. I'm going to do this strategy with with on a back test it has more than a 100% win rate over the last 2 years. And I'm going

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to do this tonight. What I'm going to do is I'm going to sell a call and put at 225 strike which is the current price. And I'm going to buy 20 point outside wing as a hedge. Right so I'm going to sell 225 sell 225, buy 205 put and 245 put for protection. This strategy is called iron fly. fly. fly. Now Now Now it has 51% chance of profit. And here the max loss is 894. And the credit you are receiving is $1,100. $1,100. $1,100. So, now if you tell me, if we do a coin flip where you have 51% chance of winning, winning, winning, and if you lose, you lose $900. If you win,

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you win $1,100. Is that a good strategy? The You see the edge in the maths. I don't even have to look at the chart to make this trade. I have a mathematical edge in this trade. trade. trade. >> Yeah, it's a it's very different to to to how the majority of retail traders trade. This is not how retail trades. This sounds a bit more like how hedge funds probably trade. >> Yeah, but yeah, a lot of funds trade like this. And And in this case, my strategy is going to be simple. I'm going to open this trade 15 minutes before market close. And tomorrow in the morning, uh, at whatever price the market opens, the

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first thing I'm going to do is take profits. In the first 5 to 10 minutes, I'm going to take profit, and I'll be out of this trade. May I may not make the full $1,100 profit. Maybe my profit in the morning is going to be somewhere close to $400, depending on where the price opens. So, whatever the profit is, I'm going to take it in the first 5 minutes. If I make 50% return in an overnight trade with just 5 minutes of work, I'm thrilled with that. >> Yeah, and so what you need to what you need what you need Nvidia to sit for this to for this to work? >> So, for this to

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make profit, Nvidia needs to be in this range. So, between 214 to 236. >> Uh, it just needs to sit within that 5 5% range tomorrow morning by the by 9:30. 9:30. 9:30. >> Yes. So, the market makers are expecting a 5% movement. But historically, Nvidia moves less than 5% after earnings. So, over the last year, I've been trading this kind of strategy for every every earnings. Have I have 100% win rate on this. >> How did you get into the backtesting element of the research? Is this like Python or Python or Python or AI? AI? AI? >> So, I actually I actually vibe coded my own backtesting engine engine engine uh uh uh using

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options data. Uh let me show it to you. So, this is my backtest for Nvidia uh over the last 1 year. I tested a lot of different strategies. If I were to do an iron an iron an iron So, I tested multiple strategies, iron fly and iron condor, targeting different strike prices, different wings. And almost all the combination won four out of four times over the last 1 year. And they each have their average profit. They each have their uh return. uh return. uh return. So, like for example, if I were to sell an iron fly with 10-point width uh width wings, wings, wings, it makes 43% return on average in just an overnight trade.

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If I go with 20-point wide, it makes 28% return. And if you traded this every time for the last 1 year, with just one contract, total profit would be $1,100. And in this backtest, I'm just opening a trade 15 minutes before market open, taking profit uh in the first 10 minutes at market open. >> Uh it's it's very kind of you to go into this detail and and reveal this kind of uh work that that you're doing. It's very nice of you. And it just shows you like like like with especially with artificial intelligence these days, you don't need to be able to code. You can You can use platforms and programs to build your

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own system. It just I mean, I don't know if you agree, Ravish. I do the same thing as you would. It just takes a curious mind. It just takes a little bit of curiosity and and answering some questions to questions to questions to to start getting to this point now. >> Yeah, absolutely. There are also you have to basically uh once you understand the Greeks, it like I said, it is going to open a whole new world. Because then you start to think about things like, "Hey, I can do this." Like when I first learned about data neutral delta neutral, I was obsessed. I was like, "How is that even possible?" even possible?" even possible?"

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That you can make profit without predicting a direction. My mind was blown. >> I think >> And now with AI now with AI earlier I So, I have a technical background. I used to code, do analyze data manually. Now I just you I know I can just write code this thing. I did this in few minutes without having to code my thing. And I can tell AI, "Hey, use this API, get this data and back test these 10 different strategies." And it tested like these seven strategies and all of them are winning. winning. winning. And now I just have to choose, "Okay, which one do I want to go with?" >> I mean, it's just

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insane how much AI's enabling average people to to have exponential growth, eh? I mean, but the thing is I don't like you've got to be racing with this AI technology because everyone's going to be doing it. So, you've got to be the the one best at it. it. it. >> Yeah, I mean, with AI um a lot of people do is go to AI and tell tell it basically, "Hey, dear AI, make me a million dollar strategy. Make no mistake." mistake." mistake." And that's not how it works. You basically have to give it your core idea and then it can improvise on it. And then it can test the data for you to let you

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know that, "Hey, it works." Like for example, there is another strategy which is a simple call buying strategy. strategy. strategy. Uh I also have a video on my channel about it. That strategy has a more than 90% win rate. And on that video, you'll see hundreds of comments from people making a lot of money with that strategy. I use AI to test that data. What I did was I downloaded CSV data for um for QQQ stock. And I gave it to ChatGPT. I was like, "Analyze this data. I want to know that if I enter this enter buy this stock when the market drops 1% in the next 3 months, what is the average performance?"

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average performance?" average performance?" And it gave me data that 90% of the time if you buy when the market drops by 1% in the next 6 months, it goes up by 10%. It does not have to stay up there, but it goes and touches 10% level in the next 6 months. And then I created a simple call buying strategy where you buy a leap call with 1 year expiration and 50% profit target. That is working like amazing. like amazing. like amazing. >> That's totally crack-ass. That's totally crazy. I mean, the thing is though like it's so obvious. It's so obvious, but people aren't doing it. Like it's so obvious and it's so easy, but I

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but I but I The thing is right, so I have a question for you. Is everyone going to be millionaires in the future because of AI? Like but can any trader become a millionaire through AI in the next 5 years, 6 years? What's your thoughts? >> I think anyone can become a millionaire if they are disciplined to learn and practice and manage the risk. Now, technically if you look at it there are a lot of people in the market. Some are billionaires. There are I recently went to Berkshire Hath Hathaway meeting in Omaha. Like I was dumbfounded that Warren Buff- We here we are talking about millionaires. Warren Buffett has built a trillion-dollar trillion-dollar trillion-dollar

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empire. empire. empire. Because he just gave it enough time and he was disciplined to keep it going. And there are a lot of billionaires there. there. there. And all of them are running like multi-billion dollar hedge funds, making billions of dollars. The difference between us and them is the skill and discipline. They have more experience, they have more skill, they have more discipline. So, if you can practice these three things, things, things, there is unlimited money in the market. You can make a lot of money. I think like even when we are thinking about millionaire, millionaire, millionaire, we are thinking small. The opportunity is much bigger. >> I think I feel inspired. I didn't expect

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that. that. that. I feel inspired by what's possible and it it it it's so it's so true. >> Yeah, I think going to Maha kind of like changed my perspective. Over there, I went to a private conference, which was invite-only. There were a lot of hedge fund managers there. Like Bill Ackman was there, Monish Pabrai was there, uh Guy Spier, a lot of uh big uh hedge fund managers that you hear about like operating at 100 million or multi-billion dollar level. They were in that room where there were like only 100 or so people. And uh going there kind of changed my perspective that there are levels to this game. Right now, we are thinking

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very small. >> But uh I mean, it's true. These guys like I was reading um I'll let you go back to the the other processes shortly. But I was I was reading a book by uh Ray Dalio. I don't know if you'll know. Ray Dalio is the he he's the CEO was the CEO. He's retired now of uh Bridgewater Capital. Capital. Capital. So, he's one of the the top hedge funds. And he He's got some books on debt cycles. But he he's made billions and billions and billions having one of the top hedge funds in the world at one point. And what's true what one of the first lines in the book that he said

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was is I'm not I'm not smart at all. I'm not smart at all. Uh Uh Uh I've made He said I made a lot of money by knowing what to do by uh not by not knowing the majority of things and just being able to work within the constraints of of what I know. know. know. And what he did is lot a lot of what you're doing and what I do now as well is he says me memory's terrible. I forget everything all the time. The multi-billionaire hedge fund guy says "My memory's terrible. Can't remember things." So, he just works with a system and it's that process, the repetition, working with a system, and he's

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reached multi-multi-billions. Just persistence. Just persistence. Just persistence. >> think once you Once you find Once you find an edge, once you find a system that works for you, then you just need to focus on it and keep it on repeat until it starts to uh it stops working. Eventually, like no strategy is going to have an edge forever. Some people do this mistake in backtesting backtesting backtesting um that they do a backtest for 10 years, 20 years. 20 years. 20 years. Uh I think that is not wise because a strategy that worked 20 years ago might not be relevant today. It was a completely different market 20 years ago. Today, we are in a very

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different market. different market. different market. So, So, So, you need to have a recency bias. Yes, I would like a strategy which is battle-tested for 10 years or more. But, what I want to know is is it working now? Is it working in the last 1 or 2 years? So, I will have a recency bias for it, which is why I'm backtesting this strategy for the last 2 years because uh like 5 years ago Nvidia was a different company. different company. different company. Right? So, you need to have a recency bias. bias. bias. And uh you can just then use this data to do it. Now, I know that okay, I have done this strategy

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enough of the times for on a lot of different stocks. It's not going to work on every stock, but I know all the stocks on which it is going to work. Now, I can do that every quarter. >> But, yeah, but at the same time, it's so important to monitor your data, monitor the the results, the probabilities to make sure that something a trend isn't changing. changing. changing. Um Um Um It but it's it's really interesting because the market has a has evolved a lot. And when you're talking about no point checking back 20 years. Most people who invest just I dust color dust cost dollar average. It's like the strategy that everyone does the

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cost dollar average. But I was thinking I was looking at some charts in the 1930s after the Great Depression. If you dollar cost average in the 1930s, you you would have ended up losing 90% of your money. your money. your money. But then but then also in the in the 1930s the market would go up 20% in a month. It would have a 20% increase in a single month. It was it was much more volatile. We don't get those moves as much now. much now. much now. >> So we we just saw a move over the last one month where it was close enough to that. that. that. >> Uh the Q the Q an

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index I mean it the Qs >> went up like the Qs went up like 15% in in a month. >> Oh there you go. So maybe maybe things can crash maybe things can crash to 90% on the next crisis. Who knows? But but uh now you're right. The Qs the Qs after the um after the Iran threat. Are you talking about the Iran war threat? It dropped in and with the whole of the AI revolution the Qs have gone like 18%. That's AI though it owns half of the Nasdaq like it doesn't it? It's it's weird it's half of Nasdaq. of Nasdaq. of Nasdaq. >> When chat GPT came I bought a leverage ETF called

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TECL called TECL called TECL at $20. at $20. at $20. It's a 3x leverage technology ETF. At that point I was like I do not know which companies are going to be winner. But I think this AI revolution is going to be the biggest revolution in tech we have seen in our lifetime. >> Yeah. Yeah. Yeah. >> So I was like okay I'm going to put money in this leverage ETF 100k invested. I'm willing to lose. That is now close to a million dollars now. now. now. That stock that is now at $200. In just like three three four years. >> Like that's such an intelligent thing to do. do. do. >> So if you

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are if you if you put effort in your skill and you have discipline then then and you also need to have risk-taking ability. risk-taking ability. risk-taking ability. Now, people say that putting money in S&P safe. S&P safe. S&P safe. Like I showed you my account, my drawdown is lower than S&P. So, if you have lower drawdown than S&P and your returns are like exponentially higher higher higher your risk-adjusted returns are through the roof. the roof. the roof. >> Well, I think what you did with ChatGPT coming out and putting the 100K in the leveraged DTF was a it's an incredibly well-timed smart move. I mean, because it we knew when we saw ChatGPT, it was

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like nothing we'd ever seen in the world before. We didn't know how how it would advance or how fast, but we I I think when ChatGPT came out, we knew the world had changed forever and it was a matter of time. of time. of time. So, So, So, it's interesting. But, do you want to go back to your to the to the second strategy? I keep throwing you off the the PowerPoint, but it's it's interesting to talk to you, so. >> Yeah, let's go to the second strategy. So, now you're going to construct this strategy in a lot of different option structure. In the other strategy that I really like, which I think has a

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better risk-reward risk-reward risk-reward is I call it the theta machine. It's a time spread strategy. In a time spread strategy, what we are going to do is now think let me give you an analogy of like an Airbnb business. Think about this. I rent out an apartment. I'm paying $5,000 a month rent for it. And then I go list it on Airbnb for $500 a night. Maybe I have I sell 20 nights in a month. So, and I have some operational cost. So, basically I'm spending like $7,000 on this apartment all in and I'm pulling in $10,000 and I make $3,000 profit. I do not own the property. I do not have any significant investment

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in it. The only thing I have is a lease. Right? And I can earn a monthly income from it. from it. from it. We can do the same thing with options. Technically, if you wanted to do that with Airbnb, it's not profitable in today's time. today's time. today's time. But it is very lucrative and very profitable with options. So, what I'm going to do is uh uh uh So, there are a couple different types of strategies. One is calendar spread and one is diagonal spread. So, I really love calendar spreads. This is one of my best performing strategy. So, let's say I think S&P right now is trading at $740. $740. $740. I think over

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the next um um um few weeks it can go higher. Let's say I think that in the next 3 weeks weeks weeks it can go higher. So, I'm going to go with with with Let's do it on Qs. So, okay, let's try try it on Qs. So, I think in the next 3 weeks Qs can go a little higher. I don't know how much higher, higher, higher, but I know maybe it is going to be higher than today. So, that means my time period is going to be to be to be I'm going to buy an option for 18 June and sell an option for 12 June. So, the way it works is we are

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going to buy a longer term option and we are going to sell a shorter term option against it. The term structure can vary depending on your trade outlook. outlook. outlook. So, the way it works is when you have buy an option, you are paying daily theta on it. Think of it like a daily rent. And when you sell an option, you are earning that daily rent on it. Now, theta is not linear. The way it works is that options which are expiring in near term are going to have higher theta decay versus options which are expiring in longer term. longer term. longer term. So, what I'm going to do is I'm going to sell a

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short-term option which is represented here in the red line. >> Yeah. >> Yeah. >> Yeah. >> And then I'm going to buy a long-term option which is represented in green line. line. line. Now the theta decay on the short-term option is going to be fast. And the theta decay on long-term option is going to be slower. So when we start there is like this gap between differential between their premiums. As the time passes, you see this gap grows. grows. grows. Because your near-term option is growing at a faster rate. As this gap grows, this is our profit. This differential is our profit. This is where our edge comes from. So as this gap is you

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we go through the time, the gap is growing, the profit goes up. That's how this strategy works. So and we can model it again using option strategy and see how exactly it's going to work. Now I do not know where the price is going to land, but I can use the Greeks to guide me for it. So what I will go is I will sell my short option at 20 delta. So 20 delta is going to be somewhere around around around $740. $740. $740. So this is at 23 delta. I'll go with it. So I'm going to sell a 740 call uh for June 12 expiry. And for the back week I'm going to buy

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740 call at the same price. Now Now Now the way this it is going to work is I'm going to earn theta premium for it. Plus I have a direction. This is a bullish trade. trade. trade. In this trade we want the market to go to 740 strike. Now this says that there is 23 delta. So that means technically there is 23% chance of that happening. And uh And uh And uh and the price here uh the chance of profit here is 29%. So, it is still higher than 23 because we are getting theta premium for it. Now, if the price goes up slowly into this this this So, if the price goes up higher

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like this this this then in this trade we can make like well over 300% profit. In this trade our max loss is just $162. So, it is a very cheap and low-risk trade to put on. And the upside can be $618. So, I can make like more than 300% profit in this kind of trade. But, when I get into this trade I have to wait till here, till expiration to hit that bull's eye. But, I'm not going to be waiting till there because there are chances that market can go up and then come back down. down. down. Right? So, if it goes into 20, 30, 40, 50% profit in a week I'm going to book

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my profit. And then I'm going to wait for another pullback and make this trade. So, let's say if someone made a trade like this just yesterday. just yesterday. just yesterday. Yesterday this option spread was trading at $100. at $100. at $100. Today it's $164. So, it's up 64% in just 1 day. 1 day. 1 day. So, with a trade like this we can have asymmetrical risk reward. And if you're taking profit early you can have a higher win rate. And uh And uh And uh sometimes if you want to wait for the maximum peak profit, you can also do that. I have had trades where I've made 200%, 300% profit. Or if you want uh

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something with higher probability, you can reduce your strike price to 30 delta. So, 730 is going to be about 30 delta. And now we will have higher probability. Risk reward is slightly worse now. Now, this is this is this is um um um $194 max loss. Max profit $600. Still, it can be a multi-bagger trade. multi-bagger trade. multi-bagger trade. And all I need is the stock to go up a little bit. I can book profit at any point in this zone. >> So, just just make sure I understand this cuz this is a something I've never seen before. See, you're buying the 730 call call call and then you're also selling the 730 call, but

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the the call that you're selling selling selling you're you're selling earlier on because you want you want you want the better theta, right? And the one that you're buying is further out. So, you make money on the theta as as one thing. thing. thing. >> Yes. >> Yes. >> Yes. >> Um and then you also want the the stock to go to go to go because when the stock was towards the level when the stock goes towards 730, does it it doesn't really make Does it matter because one calls canceling out the other one? So, you're only making the theta, no? >> So, in this trade, you can make this trade a bullish trade, a

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bearish trade, or even a neutral trade. It all depends on where your strike price is. Strike price is basically your price target. If the price goes to your price target, that is where you make maximum profit. >> Yeah. >> Yeah. >> Yeah. >> So, you have bullish direction to this trade. trade. trade. Now, if I bring these strikes down So, if I bring these strikes down to $710 $710 $710 Now, this becomes a delta neutral trade. Now, in this case, I make profit if the stock trades in this range. So, now I need the stock to stay flat. >> But But if you buy a call and sell a call at the same price, does

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that not cancel cancel it all out? Because you just done answered options. >> So, like I explained in the previous illustration there is a difference between deltas and thetas for the option at the same strike. For example, let's go back to the 730 example. So, on the option that we are selling, uh we are getting 32 delta. >> Yeah. >> Yeah. >> Yeah. >> So, but we are short selling this option. So, we are short 32 delta. >> Yeah. >> Yeah. >> Yeah. >> And uh we are theta positive here. So, we are earning $31 theta from this every day. day. day. >> Yeah. >> Yeah. >> Yeah. >> And the option that we are

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buying has higher delta. higher delta. higher delta. >> Mhm. >> Mhm. >> Mhm. >> Slightly higher. So, this is 35 delta. And here we are paying $29 theta. So, we can go here and this tool will show you aggregate graphics, um aggregate metrics. My total delta after the full spread is 2.6. My theta is $2. So, that means on a trade which is costing me just a little over $100, I'm going to earn $2 a day, which is basically like close to 2% a day. >> Yeah. >> Yeah. >> Yeah. >> And as we go closer to the expiration, this is going to increase. Now, 2% a day it does not sounds a lot, but

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if the price works your way and you are earning theta, the theta is going to accelerate. accelerate. accelerate. So, very high probability that I can make somewhere between 30 to 50% profit in the next 1 to 2 weeks. >> Yeah, that makes that that makes sense. And then And then And then you're making money on the delta as well because they've got different deltas based on the time that you put them on. So, you're making money on the delta. That that that calculation between the two deltas and the two thetas, you're making the difference as it goes. And the more time you leave it, the better because you're making money on the theta ultimately. >>

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Yeah. Yeah, I actually want the market to move slower, right? Typically, an option buyer wants the market to move fast for them to make profit. Here, I like it to move slowly. I want it want a slow grind grind. And then I can make profit. And if I make faster, if the market moves faster, let's say over the next Nvidia has blockbuster earnings tomorrow, the stock goes up to like 7:30 over the next week. I'm still happy with 30 to 40% profit in a week. Then I can close this trade and open my next trade. So and if I'm neutral on the market, I can just do it at the current price. And then this

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becomes a delta neutral trade. And another thing, if I'm bearish on the market, market, market, I can do a put calendar. Here is I can go and sell 680 put, which is at 21 delta. delta. delta. Now if the if now let's say Nvidia has bad earnings tomorrow, market drops, then this trade can this trade has potential to make 446% profit. So yeah, it has a low probability. The probability is 35%. But the upside is 500%. >> Yeah. >> Yeah. >> Yeah. So So when you on the earlier example, when you're talking about the Qs and you were put them in the 740s, so you're you're win a lot of money if it goes to

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the end of the theater or you if you hold the trade for a longer time, you make more money. If it reaches the 740s, you make more money. What happens if it just doesn't move or it goes the wrong direction? Is that is that a that's a loss? >> So if it does not moves, uh so in this case, case, case, it all depends on what strike price we choose. If I want to be slightly neutral to bullish, let's say I want a trade which is slightly bullish, but gives me some uh downside protection. I love downside protection. I like to make profit if the stock moves uh up, but if the stock comes down,

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I would love some downside protection. Then I can make a trade like this. Uh where Uh where Uh where >> [clears throat] >> let's say I can make a trade at 715 strike. strike. strike. It is slightly bullish. If market goes up, I make profit. If the market comes down, down, down, then my break even is 698. Currently, it's trading at 711. So, I have about 12 to 13 points downside protection downside protection downside protection against a drop. >> And how did you get that? Is that because you get the theta? Does the theta give you the downside protection? >> Yes. >> Yes. >> Yes. >> That's how you get the >> Right. >> Right.

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>> Right. Yes, now my theta is minimal. Now my delta is minimal, less than one. But my theta is higher. >> Yeah. >> Yeah. >> Yeah. >> And I can even do this trade with a shorter duration. Let's say I think I want to make a trade with just one week duration. duration. duration. I can make a trade like this where where where if the market stays flat, I make profit. If the market goes up, I make profit. If the market comes down a little bit, I make profit as long as it trades in this 701 to 730 range. >> Just to make sure make sure I got this. So, a lot of people might

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say, "I think that the QQQ is going to go to 740 and it's currently at 720." They'll put the call option on for 740, and then they'll just panic if it doesn't move towards 740 because every day they're losing money. But the way you do it means that you get the actual theta. That means even if the stock doesn't do anything, I'm making theta right now. So, you get paid to wait a bit more. >> Exactly. We are getting paid while the price moves our way. >> I don't know why more people don't do this. this. this. >> Because people don't know about it. >> [laughter] >> [laughter] >> [laughter] >> It's fantastic. I absolutely

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love this. It's it's because it's it's not rocket science. I mean, it's just putting one more call more call more call on onto the option that you are going to put anyway. put anyway. put anyway. >> Yeah, I would I mean, this is why my account has such low drawdown because I use strategies like this. like this. like this. And if there is another there are levels to it. There is next level is I can buy both call and put calendar and make profit both ways. I don't even have to predict the market direction. direction. direction. >> Yeah, you can literally be paid to be wrong. You can you can be paid to be wrong

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or you can be paid when the stock does nothing. does nothing. does nothing. You can just sit there and make money. >> Yeah, exactly. And in a trade like this, if you are right, you can make a lot of money. money. money. If you're wrong, your loss is actually pretty small. You can do these kind of trades with as little as $100 to $200. So, even if you have a small account, you should never buy call. This is the way to go. >> That's crazy. But and obviously the only way you lose is if you get it completely wrong, which when you're buying the larger cops larger cap stocks on a on a bullish market,

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it's if you buy in decent companies in a bullish market, it's not often that you're going to get a the stock will completely the wrong direction. And if it does, you just buy more. >> And you can the great thing is you can do this kind of trade for any trade duration. trade duration. trade duration. If you think you need 3 months, you can do a 3 months long trade. And And And and you just use the delta. Just sell between just buy between 20 to 30 delta. There is very high probability that eventually the stock price is going to go and touch it. >> And and say if you buy it a month out,

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what's the what's the spread between the options there? If if you're buying a month out, you buy like uh is it like or you can tell me you'd buy say it's Google whatever 400 calls and you want it to reach 400 in a month. How would you position those? The buy and the sell call. >> Right. So, if I think I want to buy Google, I can make a trade like this, which is 4 weeks out. And um And um And um I will sell a 400 call for June 18 and buy a 400 call for the back month. And in this case, my max loss is just 175. 175. 175. Max profit can be

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575. Huge asymmetric risk reward. And even if it stays flat, I can still make profit. So, let's zoom in a little bit. So, let's say I make this trade and the stock does not moves at all, it stays flat for the whole month, you can still make close to 50% profit here. profit here. profit here. >> So, just to get this right, you buy you buy the call saying June and then you you'd sell you'd sell the call or it's the other way around. You'd sell the call in June and you'd buy the other one in July. Is it like that? Or is it the other way around? >> Yeah. Well, yeah. So, we sell

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a short term. So, let me go back to this graphic again. again. again. >> Uh you sell a short term >> Yeah, I link short term and we are buying long term. And we make profit from the difference. >> And is there ever a point where you just let the short term expire and then just hold hold the long term to keep going or you always close together? together? together? >> So, usually I don't. Usually, I close it for profit before expiration uh because in that case um uh uh uh because usually when that happens um um um this is uh okay, I close it for uh because if the short leg expires, then I'm

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just holding a long call. Then I'm paying theta for it. I don't want to pay theta. So, which is why I will close it before expiration, but sometimes I see my trades trades trades which I was happy to take close for 50% or something profit after my short call expired, long call went parabolic. And it went up 300% 400%. So, there are scenarios like that. But, that's not the game I'm playing. I want consistent returns. I'm compounding week over week. My account is compounding at 8 to 15% a month. month. month. And with that kind of return, with such low drawdown, low drawdown, low drawdown, in 2-3 years it's going to it can go to

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eight figures even. >> The This is genius for me. It's totally genius. Um And the best things that I generally like genius strategies are that they're so simple and they're so simple and beautiful to execute, but it's nothing nothing too complicated, is it? It's not too complicated. I mean, I've understood everything you've said in in a 50-minute session. session. session. >> Yeah, exactly. Because um because the way when people try to learn it is it is it is they start they get intimidated by a lot of things because nobody really breaks down in such simple terms. Uh they talk about Greeks and all those things and uh charting and technical analysis. It was intimidating to

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me also initially. initially. initially. But what I figured was that instead of learning everything like a reading a full textbook, full textbook, full textbook, focus on a couple of strategies and master them. master them. master them. And after some experiences, everything starts to make sense to you. Then it becomes second nature. Options is all about the probability. The reason why a lot of traders lose, even if you give them a profitable strategy, strategy, strategy, they don't understand the expected value. They don't understand what the risk is, what the reward is, what's the win rate, how does that affect their overall profit and loss. With options, you get it up front, right? You get up front.

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That this much profit it can make. This is your maximum side potential. This is your chance of profit. It is all baked in the data. And with tools like this, it makes it very easy to understand. So, I did not learn options by reading a textbook or by watching a lot of videos. Yeah, I did watch a lot of videos on YouTube on Theta profits uh on Tastytrade channel, and I learned a lot of strategies from there. But, you basically learn by doing. It's math. math. math. You do not learn math by theory. You learn it by doing. So, you have to put it in practice. I would spend I used to spend a lot

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of time. I still do. Going into this tool and modeling different trade ideas and see how they work. work. work. And there's another great thing in this tool. Once I make this trade, I can just save this trade. And this is like a paper trade now. Now, it is going to track it in my account on how this trade works. And you can even go and see its chart and see how it's working. So, let's say you bought this call calendar on Google 1 week ago when it was trading at a higher price. Even though the stock price has come down, you can see that the options has not lost any value. Stock price came

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down, but you you're still flat on your trade. This is why it works so well. >> To just to close it out, I guess do you have any have any have any final thoughts about how someone else can get started and and they not they don't have to You've heard of Black-Scholes formula and the the big the big black book of Black-Scholes formula and the book They don't need to read that. read that. read that. >> I think that is what makes it intimidating for people because they hear about all these complicated formulas. But, with tools like this, you don't have to go deep into it. You can start with just focusing on delta and

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theta and start to make some paper trades. Basically, understand how it works. And you will learn by experience. >> That's been incredible. I think this has been one of the the episode where I've learned the most and and had my eyes open. So, really really appreciate you delivering all of this this knowledge and information. It's so valuable. Thank you for giving back, and thank you for being transparent. Do you have any final thoughts or anything else you want to close in on? >> Um yeah, I would say uh one of the biggest problems that I see with a lot of traders I work with, they learn a new strategy, and they are excited they are

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thrilled with it with it they are very enthusiastic about it, and then they start to make big trader big trades right off the bat, and they lose money, and they think that the strategy does not work. They hop onto another strategy, do the same thing, which is why a lot of traders can spend years chasing different strategies and losing money. losing money. losing money. But what you need to do is trade small, and give it time. I don't If I learn a strategy, I don't mind trading it for 3 months or even 6 months with just one contract, risking couple hundred dollars on every trade. trade. trade. Because if it works for me over that

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period, I will make 20 to 50 trades with that strategy. If I'm winning most of them, them, them, that gives me a good understanding of yes, this is profitable, and then I have rest of my life to use that strategy, and I can compound compound it. compound it. compound it. You don't think of it in a way that I learned this, I need to make all the money today. money today. money today. Start by practicing it. Take it slow. You We people People spend 4 years going to college, spend six figures in tuition, tuition, tuition, and then they do internship, then they work at a job for few years. It takes them 10 years to

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build a career where they are at a point where they feel that they've achieved some level of success, but with trading, people think that they should do it in a week. It's It does not work that way. So, you have to develop your skill and be patient. It's not going to take 10 years. Most people, if you have the right direction, you can learn it in 3 to 6 months. And I think if you put in that level of effort and discipline, it can be life-changing. >> Where can people find you if they've got any questions? any questions? any questions? >> Yeah, you can reach out to me on I have a YouTube channel called

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Options with Ravish, and I also have an Instagram. It's called Hey Ravish. You can search or find the link in the description. >> Thank you so much for your time, Ravish. It was absolutely amazing, and you've delivered tremendous knowledge that I'm sure is going to change a lot of people's lives. people's lives. people's lives. >> Thank you, Stephen. It was a pleasure speaking with you.

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The Trader Who Became a Multi-Millionaire Losing Most of His Trades

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📅 Uploaded: 2026-05-21

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⏱️ Duration: 1:06:50

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👁️ Views: 4,052 (Rank #1 of 1)

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💬 Comments: 23

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📼 Playlist Progress: 2:13:40 of 1:06:50 (200.0%)

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👉 Check Stan's performance on Kinfo: https://kinfo.com/portfolio/98805/performance

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👉 Follow Stan: https://x.com/stan100x

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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Stan turned €14,000 into more than $1.6 million in verified profits by focusing almost entirely on one company: Rocket Lab.

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In this episode of Undiscovered Traders, Stan breaks down how he went from losing nearly everything, including his parents’ savings, to making one of the biggest verified gains on Kinfo.

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We also dive into his views on macroeconomics, the space industry, options trading, dilution, and why he believes most traders are too short term focused.

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📖 Chapters:

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0:00 Intro

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1:07 Introducing Stan And His $1.6M Story

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3:13 The Investing Philosophy Behind His Success

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5:18 How He Started Investing During Covid

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15:31 Losing His Parents’ Savings

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22:18 Understanding Market Narratives And Trends

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32:30 The Full Rocket Lab Story

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47:27 Using LEAPS To Maximize Returns

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1:01:05 His Next Bet

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✔️ Follow kinfo: https://x.com/Kinfo

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✔️ Follow Stan: https://x.com/stan100x

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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🔴 Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal #TransparentTraders #RocketLab $RKLB #chatwithtraders #Investing #StockMarket #Trading #SpaceStocks #LongTermInvesting #undiscoveredtraders

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You've lost all of your parents' money. That was basically all their money. So, this is you, 1.6 million, 33% win rate. How can you lose so much and make 1.6 million? It doesn't matter how many times you lose. The only thing that matters is how much you make when you win. win. win. >> So, you you took Rocket Lab from 370 to over 90. over 90. over 90. >> [music] >> [music] >> [music] >> Yeah, yeah, yeah, yeah. Some people could say you got lucky. What people underestimate is what it takes to [music] [music] [music] see it go up 30%, 50%, 100%, 500% and not sell. Many people [music] don't don't know this and don't

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understand this. Like a high rate from the Federal Reserve automatically means lower [music] price for assets across the board. Diversification is the [music] worst enemy of a good investor. I'm greedy, but when I see something [music] that seems cheap and that I understand well enough, I just go all in. I think you should buy Rocket Lab. This is This industry is going nowhere. My next play for now is This is how you make 1.6 million dollars. Welcome to Undiscovered Traders. Today we have Stan 3000 from Bordeaux, France. He's turned 14,000 into 1.6 million in verified profits on Kenfo by being obsessed with one stock at a time. Uh Stan's 1.6 million is insanely made with

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a 33% win rate. And apparently he never looks at charts. Uh today we're going to break down his one stock approach and how he's made 1.6 million from it. But uh first, Stan, welcome and how are you? Thank you. Thank you very much Steven for for for for this invite. I'm doing just fine. Happy to be here. Happy to Happy to share the the the knowledge and hopefully bring some value to to your listeners. Very beautiful and then I mean just to maybe address the elephant in the room. The the hat and the sunglasses. Yeah, so basically I basically I basically I don't want to have any fame in the real world. I used to

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have a YouTube channel. I didn't like being on camera and everything. So I just I want to bring value to people but I just prefer to stay in the shadow. And And And yeah, so Cool outfit. It's cool because you're like you're like super transparent with your with your trades. So you're transparent [clears throat] where it matters, right? Do you want people there to follow you if they find this episode valuable or Yeah, yeah. Yeah, yeah. Yeah, yeah. It would be great actually. Thank you very much. My my X profile is Stan 100X. So Stan 100X. And I give tidbits. I give kind of tips to to succeed in in in in this journey and

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I also show my latest investments. I speak very freely. I don't want to be a public figure but on on here I speak I speak very freely. Okay, so for for starters if anyone wants to follow him in in this incredible story and all incredible calls. calls. calls. Just track track we'll put that that link in the description. And also any any other links for you Stan we'll we'll drop in that description. So people can find. And I appreciate like that's a crazy amount of money 1.6 million. You've done it in a very very unique way. You've got a lot of value in the in the terms of you've got a background in approaching economics.

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economics. economics. You don't look at the charts. You focus all in on one stock. Like that that's some that's some stuff that I mean I think that breaks some rules, right? But the best the best people make money by breaking the rules, but I think um I think it doesn't actually. I think when you listen to the right people um um um you you'll find that what I do is not exceptional. It's not something that is unusual for um people who genuinely love investing. investing. investing. Uh because there are very big difference in my mind between investing and trading {slash} gambling. Uh Uh Uh I'm sorry I might offend some people with this statement, but

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uh in my view um um um real investing is about long-term. Real wealth creation is about long-term. And when you listen to the right people, which is basically all the famous goats like Warren Buffett, Peter Lynch, Stanley Druckenmiller, Stanley Druckenmiller, Stanley Druckenmiller, they all say the same thing, you know, they all talk about how diversification is the worst enemy of a good investor. good investor. good investor. How um How um How um understanding what you own is basically the the key to success. Uh how concentration is you ultimately how you create real create real create real uh value and real wealth once again. And basically this is what I did. I listened to these guys

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back in the day, back in when I was studying economics. Uh I researched a ton. And eventually I came I came yeah I came successful in this line of business. business. business. I I've heard another guy who's recently made multi-millions and he had a similar approach, but it was more with day trading and and it's it's it's quite obvious when you think about it like look for the best people in the world to study from and just and just and learn everything that they know about it. And and obviously like when it's kind of kind of gets a bit more niche, which is a lot of Ken Fo's audience, which is micro cap, it's look

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look at the top guys on the leaderboard and see what they're doing. It's it's the same thing, but I mean the the main question everyone asks generally is um how did you start? How much did you start with? Because when someone sees 1.6 million they're like how could you start with five and you make more? So like So like So like >> [laughter] >> [laughter] >> [laughter] >> It's not you're not so good are you? That's it. We're telling you you made one you're not that good at trading. Yeah. It's you put in the SPY. So tell us how you started and what you started with and and how and how that worked. So I've

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I've always thought about businesses. I've always liked businesses. I've always studied businesses on my own. I've always wanted to start businesses and I never did because I'm somehow very lazy person. So I just do the things that I like and that don't take too much energy, physical energy. So basically I've thought about investing for maybe 10 years since I was 18 years old up to 30 to the COVID era. And everything tanked at the during the pandemic. So basically I was let's go. We I need to start somewhere. So I worked all my life to save 30,000 euros. So I had 30,000 euros. I started investing this money and after a while because everything was

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pumping to through the roof. I decided to put to involve my parents and I asked for my mother's savings. I don't recommend doing this but I asked for my mother's savings and I asked for my father's savings. savings. savings. And the grand total was was was 50K plus my 30K. So I had like 8K to start with. start with. start with. And basically yeah, I just pressed open account on a European broker and I started from there 80,000 euros 2020. But so you'd been thinking about investing for a while you'd studied economics in in school already by this point. So you kind of you kind of knew what you were doing. You you would have

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understood, I guess, that um that um that um tons of money's being pumped into from the government. If the government's getting a shitload of debt, government's getting a shitload of debt pumping tons of money into the economy, tons of people are going to have extra money. There's a bunch of extra cash flow. All of that cash flow has got to go somewhere. It's probably going to go to the market. You're going to get assets rising. It's a great time to invest. Like, that's the the logical of the economic flow that I picked up. The the the most basic It's even more more basic basic than this. It's that um I saw like um a fire

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sale, you know? I was like, "Okay, Google is at uh I think it was 170 post crash post COVID crash. It was at 120 or something like this." And I was like, "This pandemic will eventually go away. So, now is the good moment to start investing. Now, I have um a cushion, you know? If ever I'm not very good at this, the prices are compressed. So, I will make money doing this. This is why I felt so safe. I was I was convinced that I had the the margin of safety necessary to start with. And with. And with. And uh uh uh I think fear is very big thing in the market, and I was

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scared for a long time. Like, for 10 years, I was scared. This is why I didn't start. And this COVID era this COVID crash gave me somehow the somehow the somehow the the confidence the confidence the confidence to start at depressed prices. I mean, it it makes full sense. We we've had so many things like this. We had it Was it Was it January last year? I can't remember the exact day, but we had on March we had we had the tariff panic. And we've just had uh this crazy Iran war. war. war. And uh I mean, for me, I would see that especially with like Google is not going to anywhere in the next

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10 years with the AI boom, especially with Gemini and its connection and how it's it's it's it's it's use up uses ramping up. And it and it's just like um like Nvidia and Google like the more bombs that go off in Iran as sad as it is to say it, but the more bombs that go off and the worse the war gets and the more the stock the more the economy drops or the the markets drop, the better the buy is. The more fear there is, the better the buy is and and people don't still don't get that the more scary it is to buy, probably the better the buy is. Yeah. That's a very

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simple rule, but it's it's so true. It As you said, like the tariff uh uh uh last March, April was a perfect example. Last November, December we also had like uh some maybe 10%, 15% drop on the the indexes. indexes. indexes. And even And even And even 2 months ago in March, the everything was dropping, everyone was was afraid, and look at the market now. All-time high. Everything that you you you would have bought at this period, just like not such a long time ago, like 8 weeks ago, it's nothing, would have made you maybe 50%, 60%, 70%, 100% on Of course, it's more on the tech side, on the growth side, but even a

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Google, Nvidia, or Amazon are up 30%, so buying when fear is much alive in the market is more often than not a very good idea. But I mean, let's let's go quickly go back to your story with So, I want to get into your trading strategy if you're investing strategy. I want to get into it. I want to uncover each part of it in in a little bit of detail for value for for the guys watching, so they can replicate this this crazy success of like what, 60 and 80 to 1.6 million? How can How can the guys out there do this? Um Um Um so let's just go back to your to you borrowed

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a bunch of money from your parents. parents. parents. >> [laughter] >> [laughter] >> [laughter] >> You're You're convinced that you're you're going to make a bunch of money, so walk me through it. So, I I started with my money and after, as I told you, maybe 4 months, 6 months, I they showed they saw that I was performing well because it was the post uh COVID boom, so everything was like just going straight straight up. straight up. straight up. So, they they said, "Yeah, why not? Take the money and work your magic." So, I think it was maybe in June or July 2021 where I reached peak at 160,000 euros. So, I just I doubled

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the money. And I felt like I was the king. By November, December 2021, we had uh the first inflation and it was supposed to be transitory. Uh that was absolutely not. And uh maybe 3 months after that, we had the war, the Ukrainian war. So, that had a massive impact on on oil prices, on energy prices across the board. board. board. And um And um And um a few things happened, you know, with my positions. I had like may- I think most of people don't know, but Rocket Lab had warrants. Uh at some point, Rocket Lab is uh the company I invested in. invested in. invested in. And um And um And um warrants are

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very um um um like kind of a call option uh but uh expires at much uh longer time frame. And um they redeemed the warrants. Uh to explain to people rapidly, so you have a strike price, which is $11, which it's the price uh to which you can buy the stock when you have a warrant. So, I have one warrant. Uh if the stock is at $20, I exercise my warrant, I buy the stock at $11, and I can sell it right away at $20. But, there's a very uh small thing that I didn't know at the time is that when you buy a SPAC warrant, there's rules that go with it. And one of

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the rules was that if the stock traded higher than a certain price for a certain period of time, the company could redeem the warrant. And And And the the This is what they did. So, basically, So, basically, So, basically, the stock traded, let's say, at $20 [snorts] $20 [snorts] $20 [snorts] for 3 weeks. So, the company had the right to redeem the warrants, whatever the price was. And the price when decided when they decided to do this was maybe $8. maybe $8. maybe $8. So, it was under the strike price of $11, which means, basically, these were absolutely worthless. absolutely worthless. absolutely worthless. And this was my biggest blow, I think, in the stock market.

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Maybe I can't remember how much I lost, but I think I lost 50k lost 50k lost 50k like in a blink of an eye. I think I lost It's 70% of the position was gone in a heartbeat. And this was my biggest blow, and this is the my most vivid memory of like a big fail. fail. fail. And um And um And um then I did some dumb moves dumb moves dumb moves uh uh uh trying to buy this and that, and you know, trying to recoup your money. This is one of the worst thing you can do in the market. Revenge investing, revenge trading is the worst thing you can do in the market.

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And I did exactly this. I was was was genuinely tilted, genuinely tilted, genuinely tilted, but uh I couldn't stop myself. I wanted the the rush again. I wanted the money again, because I went as high as 160. I couldn't stand being at 120, 1 100. And so, I I kept doing stupid things, stupid things one one after the other. And by January 2023, I had 14,000 euros left on the bank account on the broker account. So, So, So, you've lost all of your parents' money, which I would I would assume is uh is important to them. Like they might be they might they've got the apartment and stuff like that, but the the 50,000 is

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not just a it's not a drop in the ocean for them unless they're other multi-millionaires. other multi-millionaires. other multi-millionaires. No, they're not. It was basically all their money. Yeah. They were cool about it. They they would ask me like, "How is it going?" Yeah. I wouldn't say I would just smile and we will all laugh it out. So, this like it it it didn't uh affect me in some way. Like it didn't put any pressure on my shoulders. Uh I I And also, I'm a responsible kid. I'm a responsible human being. I knew that I will get them the money back one way or the other. Maybe not the stock market, but I would work

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my off, you know, and just provide and deliver and do any kind of job to get their money back and make sure that I don't screw them. Can I I'd like to get into what you're doing now and what's working right now? But I mean first, I know you studied economics. Is there any value that you can kind of pass on to the people listening listening listening that you've picked up from economics? Yeah, I think uh I think everyone should have like some basics economics uh knowledge because uh because uh because uh the the the macro, what we call the macro, is uh is the most important thing in the market. How money flows into

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the market, how what the Federal Reserve does, what how it impacts the market, what their yield is and why is this so important. Most people who invest and trade don't know the simple formula of discounted cash flows and don't know that the the yield used by the Federal Reserve is basically what is used to discount cash flow. And this is on the lower side of the the division. So basically, if you have a big number there, your money your money your money is worth much less. The future cash flow is what is is is worth much less. And this is very basic knowledge and knowledge and knowledge and I think most of people many people

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don't don't know this and don't understand this. Like a high rate from the Federal Reserve automatically means lower price for assets across the board, especially risky ones. This is the kind of knowledge that without my economic degree, I wouldn't know. And I would encourage everyone who loves investing investing investing to study to study to study in a in a funny way, you know, don't go into books right away like the most complicated one. Just go on YouTube channel. There are very like brief videos, cool videos who explain this, the monetary system in a very light way. And only this can actually like give you some edge, you know, and still I I come back to

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this because it's it's also something that I I learned from him. But Warren Buffett says this all the time. He's always in many interviews he's talking about how the the the the the the the the rate from the Federal Reserve, the interest rate is you know, you know, you know, a form of gravity, you know, like at some point stocks eventually go down if the the the rate is high. So I think this is the the biggest most important thing that people underestimate. Uh this is something that I've noticed is really important. I'm actually reading a book by Ray Dalio called debt cycles right now. I do some like biotech investing things and the most

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important thing possible is that um inflation is low, the the general interest rate is going 5 4 3 2 1%. 1%. 1%. And And And well, a lot of people don't realize like when there's a lot of when the interest rates are low, everyone has more money, borrowing is easier, people uh find it more accessible to get more debt. When people have more debt and more money, the first thing they do is try to make more money with it. They're putting it in the market. So, assets go up and like a lot of people I think a lot of people don't quite pick up that I I didn't pick it up till 3 or 4

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years ago. But then it But then the reverse happens. So, when the interest rates are are too low by the government uh for too long, long, long, the opposite happens. They have to pull the pull the rates back up. Money gets pulled out of the economy. The first things to fall is is is assets. So, as an investor, or even a day trader, like looking for hot cycles in markets, Yeah, you do. >> You you you have Yeah, exactly. It's imperative to understand like it's it's basic economics, but it's super important. And also like the the What does the Fed do? Like what is its role? And uh And uh And uh its role is

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to maintain inflation at uh 2% and have a very healthy um job market. And this drives all the decisions. And when you have inflation, it's not good. When you have recession, it's not good. When you have stagflation, it's not good. And this is very very like general basic knowledge, but this is actually something you have to understand in order to understand economic cycles. And I'm not telling you that you need to like try to predict them or enter at this point or exit at this point or wait for a crash or No, this is not it. The only thing you need is to understand why something is moving. You know, like for example, once again,

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when I invested in 2021, I didn't understand that everything was moving because the just that the Fed was printing money. I knew it because I studied it, but once it's your money, once you you start investing the money, you have like kind of a your vision is blurred. This at least this is what I felt. I couldn't couldn't couldn't I just I couldn't grab this reality. And when it tanked because of inflation, then I understood. And then I saw the real effects of monetary policy, of inflation, and this is how I learned. You see what I mean? Like this is going through going through going through this difficult time is what opened my eyes in

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the end. For a lot of traders and [clears throat] investors, it's also not just like how much money is there in the economy, but where's where's the money going? And right now we're seeing the the memory and the the memory and the the semiconductors and the the GPU. It's almost like it's not so much in stuff like Nvidia. It's all it's not in AI as much. It's in the company that helps power the the the factories, all of the hard stuff behind the AI. Yeah, you you have also this this this is something I didn't understand at first and took me a while to is is is um um um uh narrative. Narrative and hot

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uh topics. topics. topics. Um Um Um when I bought when I first bought uh Rocket Lab, once again, which is my all-in stock, all-in stock, all-in stock, um space was not the trend. Space was absolutely not sexy. Space was basically when when you would uh write uh RKLB on X, you would have bots. Like all the pages was floo- were flooded with bots. Like a price alert, price target. No one was talking about it. And now I understand that maybe that was not the best time to invest because the focus that the market has on a topic a topic a topic drives drives drives you ultimately the price. And I waited from 2021 to 2024

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to get my money back. If I did other things in the meantime, if I invested on other things other things other things it would have maybe worked even better. And by 2024 it was clear that uh as you said like Nvidia, all of these were becoming like a very hot topic, but also space. Space was clearly with SpaceX starting to talk about IPO, uh with reusab- reusability, with the uh the moon, with all of these massive projects, with Golden Dome. You have a a focus on this area and if you hold the right assets at the at the right time right time right time everything pumps. Everything. It's not perfect because if you invest in

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bad things, it will pump, but it will eventually go back down. But in if you invest in great assets, like I again, Rocket Lab is one of the if not the best public space public company available. Yeah, look at the stock price. It's it's it's incredible and I think it it will get even even better. So let me let me take a quick look at RKLD just to All right, so Rocket I can bring this up in a little bit. Yeah, it's three from a three to 117. Christ. So Christ. So Christ. So >> [laughter] >> [laughter] >> [laughter] >> tell me um Let me just find the screen. Here we are. So are. So

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are. So you we were down to 4 in the 16,000 parents understanding. How has that turned into 1.6 million? Can you walk us through kind of the the strategy that you've employed and how >> [clears throat] >> So, >> So, >> So, I like businesses. This is what I like. I understand and love businesses. I understand and love money, profit. money, profit. money, profit. And when I see a company, I'm whether I'm excited right away or I'm just just just thrown away and I don't want to hear about it anymore. And this is a mistake. You need to have an open mind. This is a mistake I made early on. And And And when I

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first started, I I saw an opportunity. opportunity. opportunity. Have you heard about the brand Aston Martin? Martin? Martin? The car brand? Yeah. Aston Martin, uh English English brand. Um was just bought by a billionaire. His name is La- Lawrence Stroll, okay? And by a a member of the Mercedes team, the boss of the Mercedes team, Formula 1 team, Toto Wolff. They injected money into Aston Martin. So, I was sure that sure that sure that the the this company was amazing. How did I discover it? Headlines. Just reading through, reading through, reading through, you know, just trying to trying to trying to find something. Going out there, like looking on looking on looking on I I

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can't even tell you, but on news outlets, on YouTube. Just I just maybe I was just watching Formula 1 this day and I heard that Lawrence Stroll was buying uh was acquiring Aston Martin and I I told myself that the business is worth 1 billion right now. And Ferrari, which is a competitor, is worth 30 billion right now. It's a distressed asset. You have two guys, two geniuses in their own field, that come and acquire this company. They're going to clean it, clean its debt, make it more efficient, and bring it back to the top. What does this mean in terms of market cap? It means that it's worth it's worth 1 billion right now.

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In 5 years, it will be worth 10 billion. billion. billion. That was my very basic idea. So, I I all I just I went all in on on Aston Martin. That was my first investment. And And And if I had kept this investment, I would have 10,000 euros right now. But, what did you put in Aston Martin? What was your investment? I think I had I was all in. I had 120. And it's And you would have had 10,000 now, so it's So, what's what So, you bought the narrative of of some billionaires taking over a company turning it around, but it it's not a success story in the end, is it? No. They they

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failed, haven't they? I they they I I I thought after 3 years or after a few um um um earning calls, if I don't see anything anything anything play out, I'll exit. And uh I was not seeing any progress. Delays, Delays, Delays, um costs that kept rising, um the depth level was not coming down. Everything that I anticipated was going to happen never never happened. So, I just And I found Rocket Lab in in the in in the meantime. Be Rocket Lab didn't IPO um was not uh public before uh uh uh March April of 2021. So, basically, I had uh yeah. yeah. yeah. I two things happened simultaneously. Aston Martin went bad. I saw

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it coming. And Rocket Lab IPO'd. and I just decided to go to go to go very deep into Rocket Lab very rapidly. Do you know the ticker for Aston Martin kind of find this? Is it even on the platform here? >> Say Say what? A M M M >> AML L Uh this is not going to No, it's it's on the British the British the British It's on the British one. I think it's AML point something. Yeah. Yeah, AML group. group. group. So this is Yeah. Aston Do you know? So when did you buy it? buy it? buy it? I I I I bought it I bought it before this. I bought it in 2020.

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Yep, around here. >> got it around Around here and I I wrote I wrote this this wave to the way up and I I sold when it started to dip. Like uh Okay. But a bit before it But I remember like someday went from 19 they Of course they split reverse split 10 times since then, but I was at 19, 20 and at 17 I was out. So you So you made You made some money on Aston Martin based on the kind of the billionaire you saw but tell me about Rocket Lab because you've mentioned Rocket Lab several times on this. In fact, let's just quickly go to your Let's go quickly go to your

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your Kenfo profile as well just so people can see. So this is you, 1.6 million 33% win rate. I want to ask how How can you lose so much and make 1.6 million? Because again, like they all say it, Buffett, look at this dumb idea. I wanted to recoup my money, so I bought I bought put options cuz I I sold the stock. I sold Rocket Lab a few weeks back. And when it jumped very high this past week, I bought puts uh with the hope that they would print and I would I could buy the stock back. This is typically a very very bad idea. So, again, listen to Peter Lynch, Druckenmiller, Buffett, they

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all say it. They all say it's it's all very public and out there. They all say it doesn't matter how many how many times you lose. The only thing that matters is how much you make when you win. And And And I can't say it better than this. It's not about how many I could have an even worse ratio. I could be at 2% but the the the only important thing is how much you make once you win. And I made a lot, so. So, so this is Peter of a I love I love how you've said that but so like your candle chart looks like you've not been trading but and then you've just

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had some big wins out of nowhere but it's actually not true. When I actually scroll scroll through here even trading since 2024 and you were you were down about it says down 200 is that $223 at this point at least. $223 so just small small trades up 10 grand down 4 grand. So, not much not nothing big going on here minus 20k and then you've had this Yeah, I tried things too like I have some money around that I throw like kind of a way, you know, I try I remember buying like buying like buying like some some puts or dumb stuff on like I think I bought puts on Nvidia when it was trading

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at $20 or something. So, I I make a like a ton of mistakes. Like is this your RCKT trade this 90 to 1.5 million? million? million? Mhm. Mhm. Mhm. Right. So, so look, I want to I want to go through sorry, RKLB trade sorry. So, So, to go through RKLB and I want to understand like if it's possible to like take a look on Yahoo Finance maybe. Let's have a quick look on on the this chart. And just walk us through the entire trade and and how you had the conviction to hold Where where did you get in first of all? So, So, So, um um um I was I was I was um talking

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about Aston Martin, okay? While I was all in Aston Martin, there was a stock called Tesla that was going into another dimension. Basically, it pumped maybe 10x in 6 months. months. months. And I was there holding my rocket my Aston Martin and feeling like an idiot because I bought this like old school, not trendy, not cool on the British exchange exchange exchange kind of shitty stock thinking I was a genius. Meanwhile, all the cool folks out there were making tons of money with Tesla. And I wanted my Tesla. I wanted my Tesla real bad. And I don't really know how I started looking on YouTube. Maybe I started looking about Tesla. And I stumbled on

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a page and I would encourage everyone to go watch this, but there's a guy called Emmet Peppers. And another guy called Dave Lee. And these two had conversations back in the day in 2020 around Tesla Tesla stock, Tesla growth. Tesla growth. Tesla growth. And they all became multi-millionaires going all in early on early on early on when the stock IPO'd in 2013, 14. And they all made 30 millions, maybe even more. And um And um And um I would I was just like, "Man, I need I need my Tesla now. I need to find the thing that is very small and I would I is impossible uh for it to succeed and it will succeed.

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succeed. succeed. And this guy, Emmet Peppers, started his own channel and and and he was chatting with a friend or like his associate, I don't know how you say, like his uh uh he had a company with him on investing friend. Yeah. Anyways. And um And um And um at some point they dropped the name. They dropped Rocket Lab. And I was like, this guy knows. You know, obviously he bought Tesla at uh $2. Now it's worth 500. So, So, So, if he's talking about Rocket Lab, I'm going to buy Rocket Lab. And I bought instantly Rocket Lab. Instantly. I dropped 10K. And then I did my research. And again, this is very known, very

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very public. Put some money into into a stock as quick as possible because it will drive your research. your research. your research. And this is what I did. And I started to learn about Rocket Lab. And the the most important thing was listening to earning calls, very boring stuff. Listening to earning calls, listening to the CEO, listening to the CFO, um um um looking at the their track record. And when I did this, I discovered maybe the best company best company best company on the planet at this scale. Like I'm sure now and it's obvious in retrospect. But when I heard the CEO, his name is Sir Peter Beck, uh uh uh I was like,

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I I can't not go all in. This guy is honest, honest, honest, uh uh uh a genius, a genius, a genius, super ambitious, super ambitious, super ambitious, and level-headed. and level-headed. and level-headed. And y- y- y- you this is something also very important, like uh the human side of things. You know, If you see a uh if you hear an if you listen to an earning call and you feel a a bad vibe, you know, some some someone that smells like fishy, fishy, fishy, you shouldn't invest your money. And this guy was like it I can't even tell you how much I I thought highly of this guy and I still think. I was like,

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he he knows. He he's he's he's amazing. He's an amazing person. He's an an amazing leader. He's an amazing engineer. So, So, So, yeah, I just I told myself, he who who who who better than him to handle my money? A- as as simplistic as it sounds, he handles your money at the end of the day. And I was like, okay, there's no one else on in the market that I know of that then that can handle my money this good. So, good. So, good. So, I'll I'll give him everything and at some point in the future space will become commercial space will become uh mainstream. I was convinced of this also. also. also. And

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so I went all in. Yeah, and it's it's kind of that thing of like some people have just got that um um um that X factor where you just feel you just feel like that's that person is is someone special just by the way they talk, by the way they hold the room, by the way by the evidence of the things that they create. I mean, you've got these people like Elon Musk and and Steve Jobs and Jeff Bezos and and I guess this guy for you was Yeah, he's exactly that. >> had that that that kind of X factor of like this guy is like a vision He's got this visionary, but he's he's

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practical. He's got the practicality to bring the vision to life as well. But it like why is Rocket Lab what what was Rocket Lab at $3 a stock though? Or $4 a share? It was a small company, rather small, but with enormous ambitions. And this is also something that becomes instantly important when you buy into a stock. It's learning about the industry. Uh seeing the time where it will go in 5 years, 10 years. And And And back in the day it looked pretty small. They had They had They had like maybe 70 million per year of revenue revenue revenue and a small rocket, but launching a a rocket successfully and and delivering a payload

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into space is extremely extremely rare. It's super hard. hard. hard. And they And they And they they they would do it on a regular basis. Now it's even the the frequency is even higher, but they had they had they had the the foundation to become something spectacular. And um And um And um at 350 was basically basically basically uh ready to scale into giant type of company. company. company. And today and also yeah, very important point, but that when they IPO'd when they de-SPAC'd, they announced Neutron, which is their newer rocket, which is much heavier. much heavier. much heavier. You could see, you know, that the the trajectory of the company was following this this

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much larger rocket. They had big plans. It was super hard to to to execute them, but every uh quarter uh quarter uh quarter I would listen to the earning call and see that this little company that was sending sending sending successfully a rocket into space was actually doing what it was saying it was going to do. I just told myself every quarter I told myself, "Okay, it's amazing. I don't care what the market thinks. I know this is amazing and I I'm pretty sure it will pay out eventually." So what was Rocket Lab trying to do? Was just trying to Is it like commercial space flight or was it What was the the the goal

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of the company or what is the goal of the company? So, basically it started as a launch provider. provider. provider. But, that's not a good business on its own. own. own. So, So, So, they quickly understood this and they started making acquisitions in order to also sell space systems. It's a big like I I can't Home Depot for space. You know, it was a small one back in the day, but that was their ambition. It was to become a big Home Depot for space. Everything that goes to space has a Rocket Lab logo on it today. No, I'm I'm it's not everything, but it's a crazy number like 40% 30 or 40% of everything that

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goes to space has a Rocket Lab logo on it, whether it's solar panels, reaction wheels. It It It You see like they they've controlled the whole the whole chain, the supply chain to space. Uh and if you see this and you understand where the the space industry is going, is going, is going, then how can you not love it? Like I guess a product or a a piece of something like I know what you mean by the Home Depot. Any kind of product that is related to space Rocket All that goes to space Rocket Lab managed this process. So, whatever's happened like whatever products are made on the ground is is also is is already

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like an industry that's completely saturated. But, no one's doing this kind of thing for space yet and so Rocket Lab's like the first to do it or is there competitors? Um it's like any industry that was very fragmented. Basically, you had two or three old school big players, Boeing, Arianne, ULA that were very rusty uh commercial companies and they were not entirely commercial. Like actually, they were not commercial. Like Boeing a a but uh the Artemis program, for example, is example, is example, is part subsidized by the the American people, the American public. That was a a very dusty industry, and you had these newcomers, newcomers, newcomers, SpaceX, SpaceX, SpaceX, Rocket Lab, Blue Origin, that

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that that just basically told everyone, "We're going to replace these old like these boomers." As I told you, it's it comes from my let's say business love my love of businesses, businesses, businesses, is that I understand the I understood the inefficiencies going into into into a company like Boeing or like like that kind of projects, you know, money is wasted by the billions with these companies. And you had the new ones, SpaceX, Rocket Lab, Blue Origin, much leaner, much more efficient, and you could see that they were going to capture to capture to capture all of this money that was going to waste and make it a profit for them, you know, because they were

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private, first first of all. Yeah, I know, like I I I've read some like investment investment books, and and a lot of them talk about like I think think think a lot of them talk about moats and and things like that, and it's it's it's almost like for Rocket Lab, they've they've they've saw an industry that's not quite took off yet. There's exponential growth. The existing players aren't really doing it properly. And then I suppose you've got SpaceX, which has an IPO that yet. I don't know if Blue Blue Origin's not a No. ticker yet either. So, Rocket Lab's the first ticker on the market Exactly. Exactly. Exactly. >> brand new industry that's going to

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take over it. over it. over it. And like it's kind of like yeah, it's it's like it's it's hard to see how it can fail with a really charismatic visionary CEO. Is that that's kind of Is that Is that kind of where you're going with it? Exactly. Exactly. Exactly. Exactly. I would doubt myself, of course, when the when the stock would range between four and eight and four and five and four and six. I would I would hate myself, even. I would be like, "Man, you're dumb. This is This This was so dumb from you." But, at the same time, I never sold because I was convinced that what I was seeing would be seen

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by everyone eventually. everyone eventually. everyone eventually. And thank God that this is what happened. happened. happened. But, I mean, yeah, I I I know I can see these fluctuations on the chart like three It must have been torture to go Oh, yeah, it's happening at 3.50 to 8. No, no, it's coming back down. Why would you sell it from >> The >> The >> The >> Two years of range. Absolute Yeah, horri- horrible, like it Yeah. Yeah. Yeah. Especially those uh three those low 3 3.30s before 3.30s before 3.30s before All of a sudden, it goes uh to God knows God knows what. But, I mean, look, like I'm just curious. Like, this company doesn't

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have endless supplies of money. It must must be having some form of dilution because when I'm looking at the annual, I It's still losing This company's losing money now. Although, it's it's it's it's revenue is It's like Uber, right? Like, Uber lost money for its first 10 years or whatever. But, like, is there no fear of dilution or dilute with shareholders or I think yeah, the dilution is uh is a great thing. It's an amazing thing with with capable management. management. management. Uh let's say they raise 1 billion. This billion will turn into 10 billions because they're capable. It's like an investment. Uh very short term, it stinks. It's It's bad. You don't like it.

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But, over the long run, this is what allows a company to scale, to actually deliver. deliver. deliver. Dilution is a bad thing when you have a a management that dilutes you every 6 months and over promises and under delivers because if effectively, they're taking money away from you. from you. from you. The stock price keeps being the same and the market cap goes up. So, basically you're just you're just you're just being wiped out. With a capable management, with someone who knows what he's doing, like the CFO Adam Spice and the CEO Serge Futterer back, I knew that I just could trust them with with the dilution, with the money they were uh uh uh

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taking from the market because that $1 billion billion billion for example, that they would raise, they would make it eventually would turn into $10 billion, $15 billion. And this for a company is the only way to scale and to become big. So, a big company is good for investors. You you don't want a company that stays small because they were afraid of dilution. dilution. dilution. Dilution is an incredible thing when used by the proper management. You you basically took Rocket Lab from your and it from the 290s cuz you you would have been in the 408s and then it it went as low as low as low as Rocket Lab went as low as I

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think I'm seeing 320. Yeah, around Yeah, around Yeah, around >> at 320s up to 117. Are you still in Rocket Lab? No, I'm not, unfortunately. Hurt yourself. Hurt yourself. Hurt yourself. I sold around 90. 90. So, you you took Rocket Lab from 370 to over 90. Yeah, yeah, yeah, yeah. Yeah. And and mind you, I had leaps and leap options. leap options. leap options. And this is this is the biggest differentiator is that I I I I held the stock for 2 years. And then as we saw earlier, it was ranging badly. ranging badly. ranging badly. And I got so so upset about it at some point, beginning of 2024, I think, that I just

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I was like, okay. Okay, the This is how you want to play it? it? it? I sold everything and I bought leaps and I was just ready to go bust or hero or zero. Thank God, Thank God, Thank God, hero. Crazy. Well, you bought them in the money or you bought like four $4 leap options or you bought like $50 leap options with a million million contracts? contracts? contracts? >> I I bought 222 leap options leap options leap options for $5 strike price. They were worth $1.47 $1.47 $1.47 at the time. Yeah. Yeah, yeah, yeah. God help the person who sold MGT. >> [laughter] >> [laughter] >> [laughter] >> I think I think he's doing

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just fine now. Like since I sold it has risen even more. Like it's up 50% like maybe a little bit less, but >> originally sold it though was Oh, okay. Oh, yeah, yeah. This one, rip. Yeah, this one is definitely like I'm sorry for him, too. Yeah. I do what you do, but I do it in biotechs. Biotechnology. I'm My brother's into My brother's actually a scientist. He's professor in a lab. I I never was a scientist. scientist. scientist. But I was always into I'm I'm quite into like like like researching biotechs, the diseases that they cure. I'm I'm interested I'm interested in how you cure cancer. I'm not clever enough to do it, but

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I like to read about it. Do you know Do you know what I mean? That's also very interesting. I absolutely don't. Yeah. But um But um But um And yeah, like there's sometimes Aussie LT was a a biotech for me and it just had some bad news on a phase three and the options were The stock was at 180 and I was buying what like I was buying $2 $2 strike for like 20 cents and this it's went up to five. five. five. And I've still got some of those options and it's it's not it's not three to three 490 but I was looking at the options thinking options thinking options thinking how can you

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sell options on the stock by 20 cents cuz I'm just going to buy tons of contracts and I know and I know that it's got other things in the pipeline that are that are worth tremendous value that sound like they're going to work. But that so now you now you know this now you kind of know the formula of buying buying a ton of cheap options and how it it can really work on the on the right company. But even like I bought a bunch of options on Google like I didn't want to buy I didn't have the balance to buy the a ton of options. I bought call spreads like vertical spreads. I bought

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a ton of vertical spreads saying Google in one in nine months will be this price at the at the peak of the Iran war and I'm like of course Google's going to come back in the next nine months because because because if you if you look at any of the history or the economics of wars the stock market always generally rises 20 30 20 at least 10 to 20%. With it like after the three months crash of the war and it happened after like all of the Iran wars the Iraq war the the Ukraine Russia war like like like even I think going back to World War II like the market rose go after the

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initial three months drop it would always rise so I was like oh of course Google's going to rise with the TI revolution and stuff like that as well. I'm like how would I don't I'm like who sells these call spreads the you're you're an insane person to sell us these spreads like why who would I mean it's the most guaranteed money of any guaranteed money. Do you know what I mean? Like who sells these spreads? I just don't get it and obviously I'm about like I'm about to cash out on them in a in a couple of months. >> Nice nice nice. Well done. But But But so It's it's also very risky we should

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also emphasize that you can also get like demolished. Yeah. Even with leaps because you know you you never know how long a certain downturn will will last or you never know what can happen with one single company. company. company. It's always a risky bet. This is the the best way to go to zero, you know? Just time decay will take you to zero. I was lucky and very lucky that the timing was perfect because they went through the roof, but imagine we had yet another war war war starting in 2024, gas prices going back up, the Fed not hiking rates, hiking rates, hiking rates, stocks staying low another year or 2 years, years, years, and

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I would actually have maybe lost everything. So, everything. So, everything. So, it's always be good to be cautious. It's always good to understand the risks that you're taking, you're taking, you're taking, but uh if you are comfortable and if you thought this through and if you know what you're talking about and you know what you hold and know the industry, then yeah, well, definitely encourage you to to go for it. Go go for the leaps. leaps. leaps. So, options is for those who don't know, it's all about um you predicting a volatile move to happen just before it happens, and it has to hit a certain range that you're predicting. And if you can manage

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to get the timing correct, it will pay 10 times the leverage. Um or if you get the timing wrong, you can you can lose everything. The way I do my options is I generally I don't I don't bet too much. I may bet a little bit outside of the money to get better to get cheaper better value, but um but I'll like for example, with options, I'll I'll I'll I'll have like if if everything was to expire worthless each month cuz I've got a bunch of options on a bunch of months, I'll not lose more than $1,500 $2,000. So, like the most I'll lose is $2,000 every month if something goes wrong. And I I

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trade a bunch I trade a bunch of equities as well, so it's like it's it's never going to end as losing the 2,000. That's the type of thing that >> think get getting your losses is actually a very like it's also something very important knowing when to cut your losses is extremely undervalued because I bought a ton of bad businesses too. I bought I bought about Virgin Galactic, about Beyond Meat, about Open OpenDoor. I bought all of these near peak like Beyond Meat I bought it at $115. $115. $115. $115. Now it's worth what? 90 cents? So, you know, cutting your losses very very rapidly in something you don't believe in is is underrated. And

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after market as well. But you just just putting on the what I what I realized is that what I once I don't know what you think about this, but I I I did exactly what you did. I I still do exactly what you do. I generally trade things with equities first and when I feel like a move is it should be exploding and it's not not not Exactly. Exactly. Exactly. >> I'll I'll I'll put the options on because I'm like this is breaking point. So I'll put the options with the equity and I I generally do that with a with a lot of stocks long and short. I'll short a stock cut it short a

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stock cut it. Then I'll short a stock put the puts on as well because I'm like this is so ridiculous that the leverage is going to pay. pay. pay. Yeah, the that's a very good thing you're bringing because what happened is exactly this with the Rocket Lab leaps. It's Rocket Lab signed a massive contract worth 500 million of dollars of dollars of dollars and it was trading at 2 billion and the stock popped for a day or two and then it tanked so bad and and it went to all-time lows after this like monstrous signing, monstrous contract it went to the to its all-time low. It went to the three 320 or 350 you were

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mentioning before and I was like what in the world is happening here? Like why is it tanking to all-time lows and they just signed the biggest contract of their lives? lives? lives? So I just went, "Okay, I sell the the the the stock, and now let's go for the lips." Yeah. Well, yeah, when when when the market's at the peak of its delusion. And and then to So, just to kind of to wrap up, I guess, um can you come to kind of finish up on kind of some how you can carry these principles across that you've learned for other people to kind of pass on? And then also, if you've got any future predictions,

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I'm sure the man who's just made 1.6 million, if you've got any predictions on next stock stocks, please share it with the money for the community. community. community. Love the game, and have a long-term mindset. mindset. mindset. Love companies, study companies, study their industry, find I'm not telling you to go all in one stock. This is obviously risky, but find a basket of companies that you truly understand. Don't make it 30, 40, 50. Make it five top. Understand everything about them, everything about their industry, and just go for it. This is how you create wealth. This is how you make 1.6 million million million dollars. dollars. dollars. No I'm no genius. There's no secret. It's

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just It's just It's just this [clears throat] simple simple formula. formula. formula. Yeah, cuz I mean, some people there could some people could say you got lucky. lucky. lucky. I would say that you you made you made your own luck. Uh Uh Uh I got There's Listen, there's obviously luck involved, obviously. You But But But what people underestimate is what it takes to see it go up 30%, 50%, 100%, 100%, 100%, 500%, 500%, 500%, and not sell. Because I could have sold anywhere between 14,000 euros and 1.4 million euros. I could have sold anywhere. anywhere. anywhere. And I knew I understood what I held. I knew where it could go. So, I just didn't move.

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And this is the non-lucky part non-lucky part non-lucky part is that is that is that I didn't I didn't budge. And believe me, huh? Last last year when tariff happened, I was still into the leaps. And I went from 450,000 450,000 450,000 euros euros euros to 113,000 to 113,000 to 113,000 euros within 1 month. And I didn't budge because I knew that space space space was big, was becoming bigger. I knew that SpaceX was going to IPO. I knew all of these things. And I just yeah, held. >> Why didn't you sell a couple of them? Did you sell a couple of them or did you sell none? sell none? sell none? Cuz you had

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a lot of futures contracts. Sell none. Sell none. Sell none. Um I I did sell, but Oh, yeah, I did sell sell sell earlier when it I was so traumatized so traumatized of the 2-year of ranging that when it went when I went back up to 80,000 euros, which was my initial uh investment, I saw like maybe 30% and I was panicked. I was like, I want to save all of my money. I want to sell everything. I wanted to sell everything because I was like, okay, I'm even let's give the money back to my parents. Let's get my money back. And I'll just I'll just forget about this whole thing. But then I was

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I was like, why would you do this? Why would you do this? This When I tell you this is the non-lucky part is that you have to reason yourself. You have to maintain some kind of you know, of structure in there because otherwise you sell, you buy, you do a plenty of wrong things that will use your money. And now I have 1.4 million euros. I could have had 3 million euros if I didn't move, but that's not important. The most important thing is that yeah, just, you know, have a have a have a a frame, a mental frame on how to just be serious about this. Why 90? Why did you sell at 90?

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Uh because Uh because Uh because I just thought that that was like it's dumb, but it was 100x from the lows. lows. lows. I was my low was 14,000 euros. And I was at 1.4 million euros. So, I was like, okay, I just 100x my money. I need to protect my capital. Yeah. It's fair enough. And and and the other and next industry or sector that you're looking at? I think you should buy Rocket Lab, maybe not now because it's reaching like all-time highs all the time, but this is this industry is going nowhere. It will be here for 5 years, 10 years, 100 years. We're going to visit other planets most likely, and you

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know, maybe SpaceX and Rocket Lab will be gone by then, but for the next 20 years 20 years 20 years this is the industry that will matter. Now we're talking about data centers in space. I think that this time will only expand from here, and there are very, very few players who have the keys to space, and actually there are three. Rocket Lab, Rocket Lab, Rocket Lab, SpaceX, Blue Origin. SpaceX being of course the best one by far, but still Rocket Lab has the keys. Yeah. Yeah. Yeah. And And And also now I I have my money on Reddit, so I just throw the name out there, but I have some of my money on

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Reddit. I'm I'm buying buying buying more responsibly. I think I'll end up being all in, too, but I'm being I'm buying by chunks. Uh And I think yeah, I think it's in the value at the moment. I think it can go much higher. I think it can also go much lower if the macro market are not playing along, but uh my next play for now is Reddit. Do your DD. Understand how it what it does and the industry and everything, but this is a name I like. It's not a 100x, but it's a for for the next 10 years, it's a good 10x, I think. But you're not going to You're not going to go

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all in on I think I am. I think I am. I think I can. I think yeah, yeah. Yeah, yeah, dollars. Yeah, yeah, yeah, I think. Yeah, yeah. Eventually, yeah. Eventually, yeah. Eventually, yeah. This is just the I don't know for the best or the worst, this is just how I how my brain like like to do things and whenever I see I'm greedy in Subway and it's bad, but when I see something that seems cheap and that I think I understand well enough, I just I just go all in. And we'll we'll we'll just we'll wrap it up here cuz we're coming to time a little bit, but can I just can I just

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ask Reddit why why what what are you seeing there that's cuz I I totally get space. Like I totally I totally understand it and I'm like I hate myself that I didn't see this. Why why Reddit? I think it's um it's one of the last genuine human interaction. It's one of the last places where you have genuine human interactions. It's interactions. It's interactions. It's it's the only social network I personally like in the sense that you have people cheering you, you have people explain explaining you things. You also have of course like you know, bad apples like everywhere else, but the vast majority of people in here here here are are are it [clears throat]

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feels like they're here to to help each other. And this is this is this is very valuable in the the AI era and advertisers will value this and for now it's it's only starting it's monetization monetization monetization journey. It hasn't made a lot of money like the potential is still super high for them to make much more money per users for example in the United States they make $9 per user. In Europe or in the rest of the world they make $2 per user. If they bring this number up to the US level it's like 5 billion in revenue. You see? So this is one catalyst that go can carry you for 5 years. Another

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catalyst is they're renegotiating as we speak with Gemini and with GPT to to sell the data available on the website. And it used to be a fixed contract 60 million per year and now it's going to be a user per usage, you know, like if Gemini and GPT GPT GPT uses a lot of Reddit content they have they'll have to pay a lot of money. So this is another catalyst for example. Yeah but I just think the the narrative about I never thought about it like that as well but how do how do you realize that it's it's the last social network with true human interaction because cuz you're right you did right I didn't

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think about it I mean obviously X is the first one to get toppled over by companies and bought and stuff like that and I see how Reddit's true human interaction but I mean Instagram's true human no? Instagram's It is but it doesn't feel genuine it feels like it's all fake. I mean it's not the criteria because fake or not fake it's the money doesn't care about fake or not fake. It's just that yeah now you have you start to have you don't know if something is AI or not. Uh you could say that it's also the case for for Reddit, but when I go there and I ask for my I don't know, my gas

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stove who just broke, I'm quite confident it's not an AI, but like like like replying. It's It's someone who wants to help me out. Yeah, if I want to show off my new watch, I don't have any new watches. I haven't splurged on anything, but let's say I'm proud. I just bought a Rolex. I want to share it my with all the Rolex lovers, for example, and you know, uh dumb example, because I'll never buy one most most likely, but uh uh yeah, my new phone, my new car, my whatever. Like this feels genuine. On Instagram, you have more like, "Oh, I'll show you my life. I'll show you how cool I am. And uh

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buy my product." That's that's that's more that's more that's more Yeah, I think it's the last authentic network, yeah. Completely makes sense. That's an interesting one. Can I Can I just Can I get any final thoughts, any final comments before we wrap it up? Listen, I'm just super happy to have done this interview. I hope it helps as many people many people many people uh as possible. I hope that people understand that a long-term view in long-term view in the market is is the key to success. And uh yeah, I hope you guys liked it. All right, man. Stan, you've give a tremendous value. tremendous value. tremendous value. Um Um Um very unique perspective we've

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never had on here before, so thank you for your time and thank you for your transparency. transparency. transparency. Thank you, Stephen.

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This After Hours Set Up Made Him 100K In 3 MONTHS

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📅 Uploaded: 2025-12-17

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⏱️ Duration: 0:59:15

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👁️ Views: 8,102 (Rank #1 of 1)

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💬 Comments: 13

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📼 Playlist Progress: 1:58:30 of 0:59:15 (200.0%)

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👉 Check Lucas Marin's performance on Kinfo: https://kinfo.com/portfolio/20835/performance

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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Lucas Marin is proof that you don’t need to trade full-time to trade well.

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In this episode of Undiscovered Traders, Lucas breaks down how he rebuilt his trading after years of inconsistency, near blow-ups, and brutal short squeezes - and how trading after hours ultimately became his edge.

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Starting with just $6,000, Lucas explains how better risk management, understanding where traders are trapped, and one simple concept - the right side of the V - helped him make over $100,000 in just three months, all while working a full-time job.

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📖 Chapters:

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00:00 – Intro

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04:55 – Institutional trading & learning market flow

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06:45 – His first U.S. trade went +200%

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08:20 – The short squeeze mistakes that nearly ended it

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11:30 – Full-time trading, travel, and false freedom

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15:00 – The trade that almost blew up both accounts

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17:30 – Why risk management finally became non-negotiable

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22:10 – Discovering his edge in after-hours trading

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26:20 – The right side of the V (game-changing concept)

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49:40 – Why steady income changed everything

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🔑 Key Learnings:

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- After-hours trading can be an edge, not a limitation

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- Risk management matters more than win rate

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- You don’t need to trade all day to trade well

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- Knowing where traders are trapped improves entries

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- Psychology improves dramatically with steady income

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✔️ Follow kinfo: https://x.com/Kinfo

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✔️ Follow Lucas Marin: https://x.com/marintrader_

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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🔴 Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal, jonk87, trading podcast #UndiscoveredTraders #AfterHoursTrading #ShortSelling #TradingPsychology #RiskManagement #PartTimeTrader #KinfoVerified #StockTrading #DayTrading #TradingJourney #chatwithtraders #lucasmarin

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That one tip is going to help so many short sellers. I made $100,000 in 3 months. I traveled 27 countries in 2 years. There's going to be so many people out there who who are just thinking like the only time I can trade is after hours. How is this guy just made 100k after hours? And if I show right here, I'm in a very good position because I know that I I'm risking like [music] 5%. But if I hold this and it goes down, I could make like 22 26%. That was the main game changer for me. Welcome to Undiscovered Traders, the podcast that brings the next six and seven figure verified traders onto the

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scene. And today we're with a friend after hours trader, Lucas Marin, who's up about a quarter of a million right now. But the most important thing, he's made $100,000 in the last 3 months while working a full-time job. And he's called the after hours trader because he only trades after hours with the exception we're just talking about BY and ND which was like the unmissable the unmissable uh uh uh meme stock short. Uh today we're going to look about look at a little bit about his chart and and basically some real life examples of of how he's trading after hours. Perfect episode for anyone who's got a full-time job. Right. >> Exactly. Thank you very

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much, Stephen, for being here uh for for letting me be here. It's a it's a pleasure. It's a long journey to be honest. I've been trading for a long time. This is not the first time I've spoken to Lucas Mar. He's in S Paulo right now. I'm in Rio de Janeiroto. We've met a couple of times, so we already have like a friendship and a relationship. We've met a few times at events and whatnot. So, like I know Lucas's journey, but like why don't you like walk us through it, but I I remember you at 100K and I thought, is he going to make it? Is he not? And you've just catapulted. So, tell tell

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us about it. about it. about it. All right. So, basically my story with trading started a long time ago. So, I would say 17 years ago. Uh because I started working at in a brokerage house in Brazil. So, I'm from Brazil as you said. Uh it's called the brokerage house. It's it was credit Swiss, which it's one of the was one of the biggest banks in in in the world and it was the main tra broker in Brazil in terms of volume for equities. Okay. And uh it was an amazing experience because I kind of learned the the everything like behind the scenes from trading like how you actually see the market in terms of

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flow because what I what I was trading I was trading like I I wasn't trading to make money. I was trading to execute well orders. So it's a different game. It's a game of okay, let me trade uh I don't know XYZ stock. How many shares this stock trade a day? If I don't know if it trades 1 million shares a day and I receive like a 200,000 shares to buy in a single day, how do I buy it? It's like 1/5if of the volume of the whole day. Like it's kind of impossible to buy in a single day. So how do you do it? you kind of search for block trades, you kind of

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start by going to the market, but in the same time once you go big in the market, everybody understands that you have a big order. So, it's pretty much like how you execute your order without everybody knowing the size that I have behind, you know, so it's a different game and uh sometimes we I made like very big I would like make mistakes as traders, right? So, you probably know a little bit of Brazilian market, but Brazilian market it's way way way way way way way like tiny compared to US. We have like 400 stocks in Brazil and like we don't see any stocks moving more than 5% a day at all at all. But

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one day I was like trading a company like called yellow. yellow is like a a machine a payment machine company and I was I had like a huge order that I was supposed to buy 20% of the volume right and there was a block trade of 1 million share like shares and all of the sudden my algorithm because like trading in this institutional world you only trade algorithms right so you pretty much has to handle 300 orders at the same time of different symbols so it was like a crazy moment that I was like pretty much buying the whole book because the the the the algorithm didn't see like he saw the the 1 million

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size order. So he had like started buying 20% of the volume which is pretty much the whole book and I made like the stock went up 6% it halted. So I was like in panic like what the what I what did I do you know but that kind of situation only happens where you're over that side of the game which is a completely different game for what we do here right but that kind of helping me understand that shards are important but more than shards flow is what matters you know if you understand that flow it's more move what moves stock you understand the game some way somehow you know well I mean that was

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a crazy experience But al in terms of the personal trading, I was never able to be profitable trading in Brazilian markets and I traded for 12 years in Brazilian market. And uh it was only on 2021 when I kind of had for like I had another businesses. I was an entrepreneur. I had like a startup and I kind of went bankrupt. So I had to get my money outside Brazil. So I kind of transferred my money to direct brokers. back then it was 2019 I guess but like when I kind of saw all the stocks in US moving a lot you know like 100% 200% like what is this like I never saw this before

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you know and then one day I decided like I just I went to Trading View you know like and I filtered like the 99% down stock like let me get any one of these that it like because there was one one thing that is called asmmetric risk right and small caps in a eight they have a huge asymmetric risks we were talking before about bioteex right so if you get one right you can get 200 200% but how much is it can go down it's already on zero you know like there is a chance that it get listed but the asymmetric risk is insane so I for one like I was so lucky that the

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day that I start decided to buy long any stock on the small cap world I bought it I I'll never forget it it PETZ. I bought it like five minutes before the close and it was like $1,000, right? So, I bought it and I like 10 minutes later when the after hours started, it was running 200%. running 200%. running 200%. I don't know why, but it was so like what? I just made $2,000 like without even knowing I was making it this this kind of money because I don't know even why I didn't I opened my my web uh system again because the market was closed for me. I didn't know he even had what

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after I was trading you know how how newbie I was back then and then I kind of clicks that I said look I got to I got to understand this right so I as many of the guys here I went to I found Timi sypes I bought his mentor like the the challenge and that's where everything began like it be it became pretty much like trading longs long OTC's OTC's OTC's and uh this is 2020 21. Okay. And since 2021 until now there there like a lot of things happened. First the OTC's died. So pretty much I stopped it longing and I kind of understood that I had to find a way to short. But

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while shorting [snorts] you have a lot of things that you had to learn. First risk management it's key. But as a beginner trader in the US market you don't know how much the stock will up. If you see a stock running 100%, you you will never think that you could get 200 20 300%. If you don't live the market, right? Because you you you don't come back to shards like 95 stocks that went 200 200%. You got to live. All right? You got to see it. You got to have screen time. So, what happened? Uh the first huge quiz was Dwak, was Dwak, was Dwak, which is DJ, right? All right. >> That was insane.

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I kind of like had a two maybe 10% of my whole account was like loss on that and I got scared but I still got understood that there was like a lot of hedge know because I I was trading pretty well like my my winning percentage rate was always insane but I took big losses right and uh and it kind of kept me the whole big winning small when losing big for a long time so pretty much I went through through a lot of squeezes is some of them I will never forget. Some of them I had to had to had to I don't know like I I I those situations when you get halted

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up in the sky and you know you don't know exactly what you freeze right what do I do you know and most of them most of them I get away I got away nicely right but that's the thing you you learn on the wrong way right >> and uh I kind of understood for a lot of reasons that I kind of had to find other paths and one of the paths that I found was was was uh premarket and after hours. That was a long time ago. Uh there was like when I met David Capablanca, we became friends there and we started trading premarket pretty much. And back then I was still part-time trading. Okay.

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And you got to understand like cuz I became full-time and now I came back part-time. But uh pretty much back then I was making a good chunk of money, a lot of money and and in a point that I kind of made the decision like I'm making more money trading in two hours than made my actual job like and I had like personal issues and and that kind of stuff. So I kind of decided okay let's I don't know let's let's go full-time and and try to live in this right. So that's when I became full-time and the struggles of becoming full-time came together, right? Which are I know like having to pay your bills

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with with trading. You have to withdraw money while your money is there to be grown, right? And um there was a moment like that I kind of decided to bro uh I'm living my dream right as trading full-time making money why do I not I don't know travel so that's like way you already know the story but I traveled 27 countries in two years right I went to Asia Oceania Europe stayed there for two years traveling the whole world so it was an amazing exper experience. I kind of I could I was I I was able to to to pay the whole trip and live this two years without losing money because I kind of

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made at least the same amount of money or even more that what I spent. But it's not easy. What I mean it's not easy is that everything worked until it didn't, right? And when it when I started having actual huge squeezes that got me into the position that I had to stop, but I didn't want to stop and I kind of I almost blew up my account. I decided that like everything that made me not stop was related to not having another source of income because if I stopped the trade, I would probably my risk water was terrible back then. So there was a lot of things that changed and uh to to to to

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where I am right now a lot of things and uh most of them was related as we were speaking before risk management and understanding where or which session I'm good at and that's where KEFO comes in exactly that moment and that's pretty much because I've been using KFO since my whole my journey began like three years four years ago, but I was more like competing, you know, because you're on the leader board. You want to see you growing how how how far I am from the first ones. And back then, I was like, I gotta be honest, with less than 100K, I was probably one of the top 100. Why? Because Skinfo was still beginning.

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There was not that much people on the leaderboard back then. So, I was, yeah, I'm a great trader. I'm in the best one, top 100. But then like green kingfo became like huge how it is right now and a lot of good traders and more traders are getting there and being there and you understand no there is a lot of thing to learn still but that's the moment like it was end of last year I took a huge loss uh on on on drug now drug was one of them but I took like some losses along the way my 2024 was uh it it was sideways is even like negative some way somehow. So if

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you see my curve and probably you can not sure if you want to share it but >> that we'll sort through in a minute. We'll we'll we'll bring it up and you can talk through it. >> Yeah. But that was like the everything where everything clipped because I kind of had to understand a lot of things about myself. Okay. And that's a re a huge part of trading because trading it's it's how you deal with your own self or your own emotions and in and not only in trading but in life in general right so 2024 even though it was an year that I lost money it was like a introspective dash uh self-nowledge year

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I was in living in Portugal and tra traveling still but I was like f study philosophy I was doing a lot of things besides trading. That was my more culture. I I don't know. I understand exactly what's my next steps in life. And uh back then I would say that I wasn't taking trading the way I supposed to. Like it it was more like I'm loving what I'm doing. I'm making money. But I always had the feeling and that's terrible. Okay. I'm not saying that I was right. I'm here to be verbal and and honest. I always had the feeling that the next day could be the day that I would blow up. >> Yeah.

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>> Yeah. >> Yeah. >> Why? Because my risk manual was terrible. I was making $100 to lose 5,000. Like that's terrible. Terrible, you know. And uh there was one day that and I'll never forget it. There was a stock called LPA. It was like a Costa Rican IPO that I shorted at 300 like $30. $30 and it went to 600. And that moment, man, every time I remember that moment, like right now I'm feeling emotionally about that moment because that moment it was the worst moment that I'm ashamed in terms of my career. But I'm here to be transparent that everybody has the right to be learning the wrong the worst way. Everybody has the

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right, but you got to learn. That's the thing, you know. So I I was lucky enough to survive, but I had that moment on the trading that I kind of closed my computer and I hoped for the best because I it was halting after halting and I overnight it closed at 600 but pre-market it open in 400 and it went down to 100. So, I still took a huge loss, but it was going to blow up my both accounts because that was another mistake that I made. I shorted on two my my two accounts. So, I was pretty much ending my career back then. So, that was the wakeup call, you know, even the wakeup

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call to understand what I wanted to do my life. So, I came back to Brazil. So, I kind of okay, I lit the dream of trading and traveling. Now I'm going to organize my life to make sure I can fit trading in the way that I can grind and grow up as a trader on a professional way. And uh I was enjoying trading before. Now I was like no now I gota I got to get I want to get to the next level and and to do this you gota you got to organize your life. You cannot be trading and and pretty much like hoping that you're going to get a million, right? You got

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to get a me become a millionaire. You got to understand that you have to as that that combines everything from what you're your journey as well right you got to you got to like have discipline you got to have you got to work on health you got to work on mind everything and on my side there was the problem of not having another source of income and that's where black arrow like we're going to talk about black arrow that's where black arrow comes in but it's pretty much like it it That was pretty much the moment that I had to reorganize my whole life to go to the next step and I'm like I'm here

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in the best moment because I made the right choice and I'm seeing it paying off, you know. So yeah, that's it pretty much. pretty much. pretty much. >> Oh, but I mean I think it's funny. I see a lot of sim simil similarities in your journey as I do in mine because we both made about 100,000. We both went away to to be full-time traders. We're both you I took 40 50,000 of losses. I think you sustained yourself. both went into jobs that kind of interlin in some way as well. So, it's been a a a crazy a crazy path. But I think the most important thing that I hear from your story, and we'll

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bring up your profit chart in a second, is that it's like you learned how to be a professional trader and you were like more having fun in the past, but like this time you're like, "No, no, I'm going to do this. I'm going to be Anyone can make a mistake and blow up at any time." Like, I'm not saying it can't happen. anyone can take an outsized loss, but it sounds like the difference is is you've gone back and been professional about it and you're like, "Okay, look, I've messed around. I've been on holiday now. Now I need to really take it seriously." And and like and I speak to a lot of guys in

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the like the top top guys that I speak to when they say, "Okay, I'm going to have a trading room, but I don't want anyone to make jokes in it. I don't want anyone to say any silly things in the room. I don't want anyone I remember hearing David Caplanc actually say, "I don't want anyone being self-deprecating." I've had other traders say, "I don't want to really make jokes." Like, this is not a room. This is not a place to make jokes. This is a place to take trading seriously because it's a really risky game. So, you need to be really serious. And I don't know, like for me, I had the problem of seeing

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people on Wall Street doing cocaine and drinking and thinking, "Yeah, these traders are doing cocaine and drinking. Why Why can't I at least just have some drinks? I don't have to do the cocaine, but why can't I have a bottle of wine?" And and I remember when I was full-time trading and I was up about 100 grand, I'd be five grand down on a trade shortening, same as you. And I think, you know what I'm going to do? I'm going to walk to the corner shop. I'm going to buy a bottle of wine and four beers, and I'm just going to I'm just going to see this one through with some with some drinks. >>

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Yeah. >> Yeah. >> Yeah. >> And uh in in my head, it was all possibly going to be okay, but the dream could be over at any moment. I knew as well, just the same. I was like, I could blow up tomorrow. Every morning I'd wake up and think I ga blow up tomorrow. >> Yeah. And it's just like in the end like I've totally like I've been sober for nine months and me discipline is completely different and me results are better. Your results are better. And it's uh it's uh it's uh it's hard to say it's hard to say like just be professional about it. You need to learn it, right? >> Yeah. >>

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Yeah. >> Yeah. >> You have to live it right. And uh and that was the moment. And uh so basically my biggest struggle in in in trading it was sizing up because you can see like now that you're showing the screen right you can see that my whole path from zero until the moment that kind of the the the the draw down started which was April 2024 April 2024 April 2024 March there right that was my peak but you can see how kind of it was a linear growth compared to where it is now, right? right? right? >> Is this all shortened? All shortened stocks you you picked up. >> Yeah, like probably most >>

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probably I don't know by maybe the first four months it was longing OTC's. >> You are making money doing that. So you were were were >> I did you long made a lot good like for for me it was a good amount of money but not compared to what I'm like doing or or did along the way. But like the whole growth that you can see like from June uh 2002 until the March 24 like whole the whole 2023 I was I was backpacking in Asia. So, I did pretty well. But the thing is now I I kind of that that was the moment that I kind of understand I was only trading premarket, you

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know, because premarket was uh was uh was uh >> 5 6 p.m. >> Yeah. >> Yeah. >> Yeah. >> In Asia, I know, >> you know. So, that was the perfect moment. I was trading premarket. Sometimes even at 6:00 a.m. when I had like a wake up early. But like besides that, it was traveling and even partying a lot. But I kind of did well pre pretty much. But when I started to become full-time on 2024, I had like one or two even three nice months and after that it was just terrible. Like I I got scared to be honest because when I had that huge moment I kind of cuz the problem is I

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was I was you you can see that the line the light the whole P&L line that reurb it's kind of linear. Why? Because I was never ever made able to size up ever. I was still trading for three years with the same amount of capital and like sometimes 2x but never like the size that I'm trading right now. I was I was scared of this the the the squeezes how much money I could lose because I didn't have a specific point or place that I would stop my position. I was always stopping my position in a moneywise uh risk level, which means that like I I was okay to make $100, but I was also

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okay to lose 500, sorry, 5,000. So when you see the the like the the the curve again on the end where I am right now, I'm like it's a different game. And that's where like I want to share how important Kinfo was on this because Kinfo was the one that showed me all the stats to understand what was the main uh hours of the day that I I was profitable, right? uh my pretty much like I had like a 95 percentage rate with even any big losses along the way on pre-market and after hours especially after hours right but what happened what happened was um I I came back to Brazil at that moment I

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kind of reorganized okay now I have a steady job when do I trade but in Brazil that's a nice thing because you're here in the same time zone so you do you know that the market closes at 6:00 p.m. in Brazil regular hours and ex exactly the moment when my job is done like pretty much my my shift ends and uh I can pretty much start training after hours and that's what I've been doing for the last last eight months at least. What happened is pro in August August August this thing came up as well and that's that was like one of the big changes in terms of sizing up. I I'm faster I'm even

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faster to stop and sometimes when I stop the trade I don't mind coming back in the next five minutes. I I had a mentality that if I stop at a trade I'm done for the day or even done with that symbol. But why? like but there is no reason if you stop you just enter on the wrong timing you you might find the right timing in 15 minutes again you know so that's pretty much what uh helping besides that I got to be honest I learned a lot understanding how Alex de trades you know from mic understanding how lens there are there is a lot of knowledge uh free knowledge uh on the YouTube on

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the Infos's podcast and other podcast there are a lot of informations out there that helps me helping me and should help a lot of traders no matter where they are on the journey. And that was the moment when I understood one thing that kind of connects like it's goes more like on the trading actual trading actual trading actual uh process which is understanding the the the concept of the right side of the V you know not sure if you you know what it is. Les talks about this. Do you know what it is? It's pretty much understanding that if you short in a position in a place that is on the front side, you might

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have on the same position once the stock comes back. You might short exactly on the same position, but it's a completely different uh EV. It's like expected value. So be quiet because if you're shorting on the front side, you don't know exactly where is your stop, right? If you're shorted on the same level once the stock already came down, you know exactly what is >> the exact same value but the other side and you've got to stop. >> Yeah, >> Yeah, >> Yeah, >> exactly. And that's such a simple simple v uh like uh idea that kind of Whoa. That makes a lot of difference because on the first the the first uh option you're

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like pretty much thinking you know where is the top and the second one is like okay I'm kind of knowing now where the loans are trapped as a short seller and might be the what the place that I should short you know at least try to you know because it don't matter if you're wrong once you build a position you know exactly how much you're going to lose because you know exactly where you're going to stop. That was the main game changer for me. >> But it's it's such a simple thing, but sometimes he can be such a simple thing away from such a major breakthrough. >> Exactly. I have a I have an example

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in my screen I want to show you. >> Yeah. No, bring bring it up. Like let's because I'm I'm I I was going to ask you how have you managed to size up so significantly and manage your risk at the same time, but you've kind of you've kind of just you've just given the simplest answer that answers it all. that that's it. So, pretty much what I did it was like I made $100,000 in three months. Pretty much >> on the psychology point of view, I can't stress how important it is to have money coming in. coming in. coming in. >> The best traders that I've known, I'm not I'm not going to say all

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of them, but most of them they have a side income some way, somehow. Even though if it's like real estate something they do have, you should never be ashamed if it full-time trading, it's not for you because it's not about being a full-time trader. It's about being profitable. I was like, I'm a full-time trader. I'm traveling the world. That that was like what was what was fulfilling me. It was not the trading making money. It was the freedom aspect of trading. I'm not a worse trader if I prefer to be a part-time trader. Everybody wants to be that guy that it's on Instagram or X that is doing this for a living, right? And you

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don't know what's behind everybody. Maybe the guy has a lot of money already. Maybe he has a a side income. Maybe he has I don't know my a lot of reasons. I had a chance to meet the guys from NASDAQ. I had a me a chance to meet the guys from NY. ahead of me like a lot of people on on on the on the the space that could learn a lot of things a different stuff you know like for example uh I didn't know that the after hour sorry the power hour from 3 to 4 p.m. It's only the only time during the whole day that companies can do buybacks. do buybacks. do buybacks.

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>> I didn't know that either. Yeah. >> You know, and why baby power hour? It's power hour because of this. I don't know. Maybe it's just because they want to squeeze short sellers. But the thing is there are a lot of components inside of the market that you only learn when you go there, you know, and you you you're you're you understand the micro structure of the the market. Uh I've I've been dealing with a lot of clearing firms right now, right? And one of the clearing firms told me in a call that they monitor all the short sellers in their clearing house that are building positions. Why? Because they have a threshold threshold threshold

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from X amount of money which is pretty much stocks quantity versus shares size of the positions compared to the market cap. So if the one specific trader has I don't know the number I don't remember or even I wouldn't never say as well but x amount of percentage of the market cap if a if any short seller is positioned on that specific quantity he's got the the clearing firm will take the client out of the trade and you know there is a lot of times I can show you even like M SMX, which is a crazy crazy crazy uh China runner from this week that it's it's probably one of I'm giving you a call

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right now. Not giving a call, but it's bring it up. Bring it up. >> Like it's a it's one of the main uh black swans from the last week. SMX I'm going to show you on the screen, but it's probably going to be one of the best trades for the next week. It's going to have a red day and it's going to crack like huge, but it's still trapping shorts. But the thing is I'm not sure if it's that's the case but specific stock but the clearing firm takes the client out the trade and there are a lot of moment and after hours that the stock is running 300 400% of the day and all

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of a sudden it closes close to the max of the day and the stock does this boom which is you can see that the chart is only aggression which is pretty much the client being taken out of the trade. So that specific trade, I love it because I know that this is not a real trade. It's pretty much inefficiency of the market, inefficiency of a of a low floor, right? And this is usually coming back usually never we never know it's 100%. But that's one of the trades that kind of became my a setup inside after hours because I know if like the the edges on my side, you know, and um even though I

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still use the right side of the V to make to make the entry, I do it with double triple size because I know that especially if the float is not that low, for example, SM SMX X I kind of traded it but I traded with scary it was scary move but because it was very low flow but sometimes there are biotechs that run like 500% in a day and that happens again and now it's a nice setup you know so that kind of information that's exactly like I'm working with something that kind of helps me become a better trader which is lovely you know so yeah that's that's where I am right now this is

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my license of black arrow. I'm only connected to Zimra right now and we should go uh probably when this goes live it will be already live on S trader as well and we have like way more brokers that we are you want to connect we are speaking with this so you can either see like pre-market risers you can see after hours uh rises and fallers so it's it's a pretty nice tool that we are working on and like I even can show about the the AI feature that we have like you can basically code you can do a lot of things right here right this is like after hours but this is like there was

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last last session was Thanksgiving session so it was not actual like after hours so it's kind of messed up right in terms of the the timing but this is a spec like this is a move from after hours trade right this is pretty much what stock was going up right here and you can see this was WB U W buy we buy. So right here I could short right here but this moment especially after you see that is a lot of people like look at this. This is nice as well. You can see how much percentage it goes down right? You can see that right now the long the long guys they saw uh they

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they were expecting this to to skyrocket right. So what happens is there was a lot of down movement here that kind of made all the short sellers get scared right here and I I was pretty much building the position right here enjoy enjoying this hike this like spike and that was my my clear stop right. So right here I would cover my positions if I had I had I had like this. So this one I shorted right here and I cover probably on this crack. Didn't hold and shoot the view up and right here. I I think this is the best expected value right here. It's not on the first bounce on the second bounce

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with lower lows, lower highs, right? So you can that you can see right here this happening right there is this movement happening right here. So basically you can see that after the first top first top first top that is the that is lower than this one that the last one right you kind of understand that the buyers are kind of scary right now. So to be honest the best expected value was here. Why? because it's almost on the same place almost not the same but it's you can first you can trace a trend line you already know that will be people trading and and start shorting right here right so pretty much you could enter

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right especially right here and you can you could stop here or adds with here as well >> are are you taking the first or the second once because you get that first lower high are you taking the first lower high or the second lower high? >> I trained both in terms of risk. This was this is riskier than this. >> Yeah. >> Yeah. >> Yeah. >> Okay. So, this is what even Alexis talks about this. So, pretty much when you're shorting a uh exponential move, right, you're always trying to find the backside. backside. backside. Um the idea here is how do you find a place that the expected value is more on your favor. So

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here the movement could continue to go up right it was going up right here. So there was a lot of shorts of shorts of shorts that were uh right there there like right here was the breakout right. So pretty much everybody stopped right here though. So this was a stop movement, right? So after this it could continue right there, right? It could continue to to explode even though and that's another part of my whole strategy. I would say that I'm six I was 80% I was back like from the beginning I was 80% fundamental 20% technical right. So, but when I was 80% fundamental to 20% technical, what happened was I was always focusing on

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the fundamentals which means that even though I was getting squeezed, I was expecting that was right and it it would it would come out come down eventually, right? Because I was right. I know that the pl the stock was not supposed what it was right now. But now I kind of said that the the the the balance should be at least 60% like 40% technical. So I'm still shorting shorting shorting stocks that know doesn't have any news or if it does have news I'm go with I go with small size. I'm going with probably I'm probably going to be trading only here. So this was one example that I traded here and here. Why here?

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because I made this move. I already got like some of this move. And that's another topic that I want to mention which is and that's another thing that I'm kind of proud of because for the first time in my life I'm being able to to add to winners and that's in and I now I can give you a perfect example. So what it means add to winners in my specific case. Some people might have a different opinion but for me is I got this move. I have have have already cushion here because I made money. I have some money to risk. And when the stock comes right here, my average is right here, right? Or

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maybe closer to the same place because of course I didn't get the average price for this move exactly right here, right? But I was able to short on the same place again, even even lower. So I was reducing my my average price but I was keeping the same risk even with even big size. Why? Because I knew that if I stop right here I was going to lose only the money that I already made on the first move. >> And remember it looks nice but when you trade with this it gets simpler. you understand how easy it is to make in ins and outs on the trade trading with this and also this helps me

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a lot with adding liquidity which I make ECN fees on the trades and I know that Zimra does it sage all the brokers the direct access brokers they have it which is a huge uh part of the game black arrow it's the it's a it's the US trading platform for neoka loka it's the main uh technology provider for Latin America. We have like five billion clients and 90% of all uh retail orders that goes to the Brazilian exchange, it goes through the loka. So pretty much we're talking about a huge company that I'm kind of helping them to enter in US. So what it what is amazing about this is it's a trading platform made

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from traders to traders. So I'm kind of helping it to have all the features that I know that are necessary for a US equity trader even futures trader we do have uh uh futures integrations as well. So, so what I'm trying to say is that even anybody who's listening to this, if you want if you're interested, uh I if you could like we spoke on this, we I want to leave like a link for you guys to get a trial, but also get in contact with me to ask for features to ask for improvements because like the idea here is to stay for the long game. So whatever we can do to bring new features

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to improve the quality of the trading experience, we're going to do it. Yeah. So this is like another example that I want to show you. It's pretty much the same idea. If you think about like this move right here, it is after hours as well, right? This this was a stop that that was going up and uh >> just just quickly to give it some context. So like Kala like it's like a I presume it's a beaten down daily. Let's see if it's float matter. Does the volume matter? Like I guess the news can be like news like I see stocks being like ah we've just bought loads of Zcash in the in the stocks

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up on Z that it's bought some crypto and stuff. So like it could be like no news bogus news or so so so I might have to search again for the news. So this was running like 50% regular hours. regular hours. regular hours. >> Yeah. >> Yeah. >> Yeah. >> Right. And uh what happened pretty much when the after hours started it it it came back >> line. Yeah. >> Right. But there was this huge move. Not huge 14 15%. It it closed right here. So pretty much we had like a 15 move. This is not even the best example, but it kind of works the similar uh path in terms of how you position

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yourself. So you know exactly where the risk it's right here. So I kind of started building my position after right here, right in this in this trend line. So I kind of built the whole position until here and it cracked 17 18% after that, right? And that you know that this specific trade I almost got stop it if you can see it because I was using this place as my risk. Right. So this is one example that was pretty much almost I got stopped on this. I gota I'm going to get this one. This was really really like a simple move that if you see this chart, where do you think that the longs are

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trapped >> or at least at least trapped? >> Yeah, like the one 165s the 165s they might be thinking I hope this bounce works. I would be thinking >> but I mean they're completely they've lost all of the value in the 130s but the 170s there yeah they're starting to think like if this doesn't continue I'm a bit worried. Exactly. So, so when I see a hu and that's something that I also learned with Alex Semis. Uh when you see a huge move like this in two minutes, it's almost what we call it like a a death candle, right? So, this is a moment where the guys who are buying expecting this to continue this

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move up right here, they are scared now. And if I short right here, I'm in a very good position because I know that I I'm risking like 5%, 6%, which is not terrible. But if I hold this and it goes down, I could make like 22 26%. And look at this. It's a lot of range. The range is insane. If you think about it, it's 25%. The stock went up from after hours. Okay, this is this was this was not up during regular hours, but it went up went up went up 41 45% after after hours with no news. And boom. If you if you see this red candle, okay, I'm going to prepare myself

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to short because if I short here, I have a ready a a re a risk limit very very very very close, which means I'm not going to lose a lot of money. And even I can save some some size to add around here expecting a double top right as the other one. But that's pretty much uh the whole size and whole whole whole whole range for the trade. And that's a that's that's another topic which is very important which is how fast it is to get out of the trade. I have like a 100% closed position on the ask plus X amount of cents which means that like think about it when you're when you're

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dealing with a loss it's a hard process for your mind like it it it cost you a lot of energy to do this right but imagine that you have to go on the screen select your m get your mouse go there press the number look how many steps steps you have to go to go through that it would probably make you not do it or if you do it you're going to do it on the right time wrong timing. So, what I'm trying to say is that using this, it kind of just I I press one button with one hand and I'm out. And I I don't care because if the stock goes up again,

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I might get the two the same 20% move in the future because if the stock went up from from from 180 to 2.7 right here, I could do the same trade and the stock would go down even more. Could go down, right? So that's pretty much the basics of what I do. And one thing of course I also look for the daily chart. So we like this is not a good example for a dating chart for here. But I also look for resistances on the daily chart as well as a place to get confident to build the position after the crack the same crack that I was talking about. But that helps as well. And

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the last one that I want to share is SMX, which is not a I kind of did a trade on this. It's a huge pump and dump that is going on right now. Like it's it it's it's going from six 75. It's insane. >> The volume's terrible on it though. Like that. that. that. >> Yeah. Like that's horrible thing. I was thinking I haven't seen this one and it's because of the volume I've missed it. It's not on me scanner. >> Yeah. Is that 2 million a day? Yeah, it's not it's it's not that much. And uh so maybe like here even though I didn't trade like I think the only trade I made was

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right here. This one cuz sometimes you gota you gota you like it was a risky trade to be honest because why it it was risky because the range was insane. So, if I had to stop this trade, what should I do? >> Yeah. >> Yeah. >> Yeah. >> Like 30% it's not it's it's not doable. I don't want to lose 30% of my position, you know, at all. I want to lose five 10 max to make 20, you know. So, that's not a that's not the riskreward that I want. But in terms of understanding where the pain is, if you see this, it's like a 23% move. And there is there was actually um right

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here ah I'm thinking on the wrong screen again uh right here there was like this you know like specific uh support and resistance level that everybody that like this is kind of what I'm trying to do right now. I'm trying to see where the pain is. So when you see this like a lot of people tried to buy right here on this movement because they were expecting this to consolidate and continue to go up. So when it cracks, everybody who bought it along the way is expecting expecting to go down, at least break even right here, right? So this is at least a good place to short. But as I said, not this stock. It's

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just trying to bring the the the idea of seeing where the pain is, right? But as I said, 30%. This is actually is always good to show a good example of not what not to do, right? It it was a really nice place because of the pain but not because of the range. The risk risk reward here was not not good, you know. And know. And know. And that's the thing. It's pretty much like how you can uh read the riskreward compared to float through news. It's it it's like it's not a simple strategy to automate because it there was a there is a lot of inbetweens that are definitely uh discretionary but that's what

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I'm doing and I've been very successful for the last five months even like eight months from now >> man like $100,000 and like we're both in Brazil right like $100,000 is half a million he eyes like half half a billion he eyes is like that's a lot of money out here but can I just ask what did did you start with? >> Get what what number did you start with? >> I started with >> $6,000. >> $6,000. >> $6,000. >> 6,000. Cuz so many people ask this because when when you say you've made $100,000, that there'll be people a lot of people will say, "Yeah, but if you started with $500,000 and you made 100,

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it's not very impressive. But if you've done 6,000 to 250,000, that's some like unbelievable trading. It's an unbelievable ROI. So well well done on that." Like it's great it's great to know you personally and and and see you achieve that. But like can you just remind me of the name of the curve the V curve by Lance? >> It's the right side of the V. >> The right side of the V because that one that one tip is going to help so many short sellers or this one tip will help so many short sellers and like the episode is worth that alone. like you you me and but but and I think we've covered so

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many amazing things because it's like it's like it's like you've like you've almost got to be willing to give up everything and like for me you've almost I had to give up everything to have any shot of successful trading. I had to just give up all other lifestyle elements to almost live like a monk but like a gambling trading monk to to like have a shot at success and I'm still not even there. But I mean for you but for you you've always been more disciplined than they I think. >> Yeah. But the thing is man uh it's funny that like I'm I'm not the one bringing that the knowledge right it's pretty much screen

S32-P0115 original line 50, characters 132229:134080
time and that like I I think August there was the aha moment for me right so that there is I even posted this on next like it finally clicked. I understood because what I understood I understood if I go big I'm not gonna blow up my account because I know exactly where I'm going to stop. I understood uh exactly where to enter and uh I understood like the part that that part of understanding who's in pain it's it's only when you're there you're trading because you trade and you understand exactly like the in between of every single boop you know >> like the thing is how how long have you been trading before that click

S32-P0116 original line 50, characters 134081:135980
because let like let's be I know you're you're a smart guy you're an intelligent guy well educated how long did it take for that to click And this is just a typical example of trading >> three years. >> Three years. >> The thing is, of course, that's the thing. It could take le it could it could have take like way less if I was more focused. I was, as I said, living the dream, that kind of stuff. But it don't matter. But it took me three years. And there probably there is people that trade for like one month, two months, and they give up because they are they are not profitable, you know. And you

S32-P0117 original line 50, characters 135981:137842
gota you gota you got to think this is like even chim chimi says this it's not a spring it's a marathon right and sometimes along the way you understand and it it it starts all starts but the last thing is sometimes you can know something like everyone knows what you've just told them because they've just listened to it but are you are you ready to hear it like are you ready to hear that information and I've heard a lot of information and not been ready not been ready to hear it and not been ready to take it on board. And same same with you. I'm sure you've heard basic principles of risk management before. before.

S32-P0118 original line 50, characters 137843:139466
before. >> Yeah. >> Yeah. >> Yeah. >> But but now is your moment like now is your time your time your time >> to take it on. And what why do you know why? Do you have any idea or is it just this is life? >> I know why. Because now I'm accepting losses because I have a steady income. >> That's the reason. >> All right. So, it's that's >> it's it's that simple because before I was like, I don't I cannot take this loss. It's it's like worth x amount of days or weeks of trading. Now, like I don't care. I have my bills covered. Like, I don't care. It's this is part of

S32-P0119 original line 50, characters 139549:141251
the game. I'm not I'm trading probabilities. I'm not trading to be right all the time. And that's the thing. And like a lot of podcasts like you got to go to KFU and see all of them. I see it a lot of times like learning how the traders who trade on the opposite side think. Mighty Stock is a guy who trades on the long side. I know you tribute him. Like he's a really good trader as well, but he trades long. And like if you learn exactly how the opposite side of the move is thinking, you like, yeah, I I like I know this guy is in pain right now. He's buying exactly what I'm

S32-P0120 original line 50, characters 141252:143104
stopping it. Like it's all about flow. Who has more flow on the market in terms of volume? it it makes them the stock move and that come backs and we go full circle for the whole interview. It's coming back from Brad Swiss, right? It's it's all about flow. >> I think I think we've just covered the conscious of of trading in this thing. It was a it was a it was a beautiful conversation. conversation. conversation. >> I'm loving it. I'm loving it. That's a really really good moment. I'm leaving like especially like this is like it's it's it's live with Zentra. It's going to go live with other brokers in in the future. Yeah. Like

S32-P0121 original line 50, characters 143105:144812
it's very easy to trade. You can see like I can place orders real quick. I'm just pressing shift and I can place like buy. This is not going to work right now because market's closed. I wish you guys could test it and let me know if you if you have questions and uh I'm glad to help. I'm just going to ask you one more. I mean also quite important for a lot of traders is it's I hope I'm allowed to say this. I don't work for N logic but like a robot. It's a I know from Zipra side it's a little bit cheaper than it's a little bit cheaper than the competitors as well which

S32-P0122 original line 50, characters 144813:146617
is an important uh thing for traders right >> exactly yeah from from intro we do have a partnership that we we offer black arrow one version which is the same black arrow with limited shards so it's like two shards so it's like $30 for for two shards but this is like uh $90 so this is like the full unlimited platform black arrow ultra So it's it's now I I saw that the the competitors went even up the price. So it's like at least $50. And uh you're going to get 400 developers working at at the company to bring new features every single month. And uh it's a as I said it's pretty much evolving to

S32-P0123 original line 50, characters 146618:148386
be everything that you guys want and need. And uh count on me to be the the intermediary to make this happen the most that I can. No, I love it. And like if you want to like Lupus is a great guy, good heart wants to help people like a lot of Brazilians. Any final words for beginners who just want to do what you're doing? Full-time traders who want to not full-time people in jobs that they hate. They just want to do what you're doing after after the ship finishes. finishes. finishes. >> You got to love trading, you know? Like I I think this as a as a performance at sport, you know, you gota you

S32-P0124 original line 50, characters 148387:150078
gota you got to live this. You like I watch podcast every single day when I go to work and when I come back to work from work I I see I I see like you get the best traders that are out there. You I see like Kyle Williams reviews from his mom's trading. I see like all the guys all the time. I I only got the right side of the V. All of the sudden I was watching like Lens's video like ah [snorts] How did I didn't see this before? You know, so that like you got to you got to I think that to finish it's pretty much having the growth mentality. Never think you're

S32-P0125 original line 50, characters 150079:151997
good enough because you're net you you always have space to improve, you know. And that's not only in trading and that's what what is beautiful from trading which trading reflects life itself and the opposite as well like if you're focusing on evolving it yourself every single day and in all the aspects your life you got to get you're going to get better on trading. So it's pretty much that's why I love trading. It's it's it's a mental game that kind of reflects how how you are as a person. F focus on learns and focus on getting consistent, not making money. As you as as we are seeing here, it took me three years to have

S32-P0126 original line 50, characters 151998:153711
the confidence to probably see the like the seven figures in a couple of hopefully months, but maybe one or two years, you know? So, it's it's like uh it's it's a long-term game. It's not like I want to get a millionaire uh quick. It's not it's never going to work like this. It's no it's maybe if you have the money and the side income to do this uh even like as a full-time but we're not try find a way to do it part-time as I'm doing now and uh there is no shame on doing this part time at all at all. >> We'll end on that. Uh Lucas Marin, thank you so much for your

S32-P0127 original line 50, characters 153712:153971
time. Uh excellent episode with really brilliant takeaways. You're going to help a lot of people.

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Original: This is Why He Never Trades Through EARNINGS....en.vtt. Citation label uses paragraph plus original line. Character offsets are zero-based within the decoded original line. All removed repeat spans remain in the work normalization ledger.

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You've been in the market for like 10

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plus years. Nothing really clicked to

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the point where you could consistently

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make money. Went into crypto,

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experienced the volatility, and then

S33-P0006 original line 47, 00:00:08.800 --> 00:00:10.310
come back and made half a million. Like,

S33-P0007 original line 55, 00:00:10.320 --> 00:00:12.430
what's what

S33-P0008 original line 63, 00:00:12.440 --> 00:00:15.110
happened? Zero DTS were not working for

S33-P0009 original line 71, 00:00:15.120 --> 00:00:18.550
me. But if I if I traded even just like

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three or five data expiration options,

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my success rate went up a lot. I'm

S33-P0012 original line 95, 00:00:24.560 --> 00:00:26.310
pretty comfortable sharing the strategy.

S33-P0013 original line 103, 00:00:26.320 --> 00:00:29.910
One of my main strategies is to Welcome

S33-P0014 original line 111, 00:00:29.920 --> 00:00:31.589
to Undiscovered Traders, the podcast

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that focuses on the charts, stats, and

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edge of the latest six going on seven

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figure traders. Today we're talking to

S33-P0018 original line 143, 00:00:38.680 --> 00:00:40.910
Zoo. He's up

S33-P0019 original line 151, 00:00:40.920 --> 00:00:43.350
$320,000 in the last 12 months, almost

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half a

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million

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lifetime options trader and and

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equities, I believe. How are you?

S33-P0024 original line 191, 00:00:51.039 --> 00:00:52.790
Hi. Uh, thanks for having me. I'm I'm

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doing well. Glad to be here. And um tell

S33-P0026 original line 207, 00:00:57.440 --> 00:00:59.990
me tell me a little bit about you about

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about yourself, what you feel

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comfortable to to say and also how you

S33-P0029 original line 231, 00:01:03.199 --> 00:01:04.630
got into trading and then we'll get into

S33-P0030 original line 239, 00:01:04.640 --> 00:01:08.030
your profit chart in a little bit. Yeah.

S33-P0031 original line 247, 00:01:08.040 --> 00:01:11.830
Um I started my I initially started

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trading in

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2011. So almost 15 years now. Uh 14 15

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years. And um the first 10 years I was

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pretty much just blowing out

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accounts. Um learning a lot. Uh I had I

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wasn't consistent. I I made some money

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some years, lost some other years, and

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but I was also working a full-time

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job. And I didn't get consistently

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profitable until maybe 2019, 2020.

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And even then it was not really big

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profits um kind of below five figures.

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And I quit my job in finance in 2020 to

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pursue entrepreneurship. I got into

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affiliate marketing and running some

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online businesses. And then I also got

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into crypto and Bitcoin and really dove

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into that uh

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for the better part of 2020 through 2023

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I want to say

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and yeah I I was uh doing a lot in

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there. I was working freelance for some

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crypto startups.

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um there was a lot of funding in that

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space for for VC funding

S33-P0057 original line 455, 00:02:34.280 --> 00:02:38.710
and yeah uh did relatively well but you

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know in 2022 if you ever followed crypto

S33-P0059 original line 471, 00:02:42.879 --> 00:02:47.030
everything crashed with FTX and Teral

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Luna and

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um you know I I did pretty well the

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first two years and then I would say

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like a good amount of those gains just

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disappeared um after. So, came out

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unscathed. But also, it's it's one of

S33-P0066 original line 527, 00:03:05.280 --> 00:03:06.309
those things where, you know, when

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you're trading and stuff, if you make a

S33-P0068 original line 543, 00:03:08.879 --> 00:03:10.710
million and you lose a million, you feel

S33-P0069 original line 551, 00:03:10.720 --> 00:03:12.670
like you lost a million,

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right?

S33-P0071 original line 567, 00:03:14.200 --> 00:03:19.589
And so, I got back to my roots in uh

S33-P0072 original line 575, 00:03:19.599 --> 00:03:21.149
trading

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equities. And uh

S33-P0074 original line 591, 00:03:24.200 --> 00:03:26.910
what I found

S33-P0075 original line 599, 00:03:26.920 --> 00:03:31.030
was that I gained a lot of risk

S33-P0076 original line 607, 00:03:31.040 --> 00:03:33.990
tolerance from being in crypto cuz

S33-P0077 original line 615, 00:03:34.000 --> 00:03:37.670
you're dealing with like crazy ups and

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downs like triple digit

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percentages. And when I got back into

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stocks, it actually felt kind of boring.

S33-P0081 original line 647, 00:03:46.400 --> 00:03:51.190
Um you know, 1% 2% moves. And so I I

S33-P0082 original line 655, 00:03:51.200 --> 00:03:55.910
think I because of that I was I started

S33-P0083 original line 663, 00:03:55.920 --> 00:03:58.630
being able to like really trade uh

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equities and options with more

S33-P0085 original line 679, 00:04:01.120 --> 00:04:03.589
objectivity uh without kind of just

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being scared of every single tick. And

S33-P0087 original line 695, 00:04:08.599 --> 00:04:12.830
um yeah, that's that's sort of how I

S33-P0088 original line 703, 00:04:12.840 --> 00:04:16.550
uh my a little bit of my my journey.

S33-P0089 original line 711, 00:04:16.560 --> 00:04:19.749
Yeah. But uh it's it I mean it's it's

S33-P0090 original line 719, 00:04:19.759 --> 00:04:21.909
crazy to me because you've been in the

S33-P0091 original line 727, 00:04:21.919 --> 00:04:25.430
market for like 10 plus years. Is it

S33-P0092 original line 735, 00:04:25.440 --> 00:04:28.150
going on 15? Going on 15 years. Nothing

S33-P0093 original line 743, 00:04:28.160 --> 00:04:29.590
nothing really clicked to the point

S33-P0094 original line 751, 00:04:29.600 --> 00:04:31.110
where you could consistently make money.

S33-P0095 original line 759, 00:04:31.120 --> 00:04:32.629
Went into crypto, experienced the

S33-P0096 original line 767, 00:04:32.639 --> 00:04:34.070
volatility and then come back and made

S33-P0097 original line 775, 00:04:34.080 --> 00:04:36.629
half a million. Like what's like what

S33-P0098 original line 783, 00:04:36.639 --> 00:04:39.030
what what happened? Like how did you do

S33-P0099 original line 791, 00:04:39.040 --> 00:04:41.590
it? Like it it cannot just be the the

S33-P0100 original line 799, 00:04:41.600 --> 00:04:44.150
the objectivity. Or is it that you could

S33-P0101 original line 807, 00:04:44.160 --> 00:04:46.070
just be completely objective? But like

S33-P0102 original line 815, 00:04:46.080 --> 00:04:49.030
what how how did it click this time?

S33-P0103 original line 823, 00:04:49.040 --> 00:04:50.830
Yeah, good question.

S33-P0104 original line 831, 00:04:50.840 --> 00:04:55.110
Um I think the there there was a lot of

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growth, you know, in the first uh decade

S33-P0106 original line 847, 00:04:58.960 --> 00:05:01.830
and um I'm just constantly, you know,

S33-P0107 original line 855, 00:05:01.840 --> 00:05:03.990
learning more about myself. I I think a

S33-P0108 original line 863, 00:05:04.000 --> 00:05:06.070
lot of it

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uh what clicked for me was

S33-P0110 original line 879, 00:05:09.840 --> 00:05:13.950
uh really being able

S33-P0111 original line 887, 00:05:13.960 --> 00:05:20.070
to get my psychology down. I think yeah,

S33-P0112 original line 895, 00:05:20.080 --> 00:05:23.990
fear is a really bad place to be. That's

S33-P0113 original line 903, 00:05:24.000 --> 00:05:27.270
a like it's just a bad um emotion to

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have when you're trading. And uh if you

S33-P0115 original line 919, 00:05:30.160 --> 00:05:32.790
can get into a place to trade without

S33-P0116 original line 927, 00:05:32.800 --> 00:05:36.790
the fear uh you can uh really uh do some

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damage I think. Um and so actually

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journaling my trading helped a lot

S33-P0119 original line 951, 00:05:44.400 --> 00:05:47.990
because it allowed me to really look at

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what I've been doing wrong and really

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face that head on. And I was clearly

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doing a lot of things wrong in the past.

S33-P0123 original line 983, 00:05:55.919 --> 00:05:59.350
Yeah. Um, so,

S33-P0124 original line 991, 00:05:59.360 --> 00:06:02.390
uh, yeah, honestly, like the the the

S33-P0125 original line 999, 00:06:02.400 --> 00:06:05.270
strategies that I employ these days,

S33-P0126 original line 1007, 00:06:05.280 --> 00:06:07.029
they're not very different from the

S33-P0127 original line 1015, 00:06:07.039 --> 00:06:09.950
strategies I used to trade with. Uh,

S33-P0128 original line 1023, 00:06:09.960 --> 00:06:12.469
they're I'm very familiar with these

S33-P0129 original line 1031, 00:06:12.479 --> 00:06:14.230
strategies because it's been a long

S33-P0130 original line 1039, 00:06:14.240 --> 00:06:18.070
time. But the main difference is like

S33-P0131 original line 1047, 00:06:18.080 --> 00:06:21.070
how I'm approaching them methodically

S33-P0132 original line 1055, 00:06:21.080 --> 00:06:24.590
and also like just

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recognizing

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it different in what environment we're

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in in markets. Yeah. I said being in

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crypto helped me kind of identify

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like like what's the market sentiment

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and

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um I I'll talk a little bit about this

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uh when we get into the strategies but

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um yeah it helps me to like break up the

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years um into sections and um kind of

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figure out what environment I trade well

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in and what when I don't trade well and

S33-P0145 original line 1159, 00:06:58.160 --> 00:07:01.029
just try to try to optimize for those

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times.

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Yeah, like everything that you're saying

S33-P0148 original line 1183, 00:07:03.919 --> 00:07:06.230
makes complete sense to me as well

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because I think when you first start

S33-P0150 original line 1199, 00:07:08.639 --> 00:07:10.710
trading those initial three years, those

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initial few years, you're so zoomed in

S33-P0152 original line 1215, 00:07:13.039 --> 00:07:14.950
on like getting it right and getting the

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pattern perfect, but you're so emotional

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all of the time. And then then you find

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a pattern that works and you start

S33-P0156 original line 1247, 00:07:19.280 --> 00:07:21.110
making money and you're so excited, but

S33-P0157 original line 1255, 00:07:21.120 --> 00:07:22.550
then the pattern stops working because

S33-P0158 original line 1263, 00:07:22.560 --> 00:07:23.909
the market conditions change, but you're

S33-P0159 original line 1271, 00:07:23.919 --> 00:07:26.550
just so you're so emotional that you

S33-P0160 original line 1279, 00:07:26.560 --> 00:07:29.270
can't you can't react objectively to the

S33-P0161 original line 1287, 00:07:29.280 --> 00:07:31.270
change because you're just so like, no,

S33-P0162 original line 1295, 00:07:31.280 --> 00:07:33.110
it has to work. It has to work. It's do

S33-P0163 original line 1303, 00:07:33.120 --> 00:07:35.189
you know what I mean? No, it the pattern

S33-P0164 original line 1311, 00:07:35.199 --> 00:07:36.309
doesn't work anymore. What do I do? And

S33-P0165 original line 1319, 00:07:36.319 --> 00:07:38.070
you panic. But it sounds to me that

S33-P0166 original line 1327, 00:07:38.080 --> 00:07:41.589
you've just learned to pull back, not

S33-P0167 original line 1335, 00:07:41.599 --> 00:07:44.070
have the emotions, and then because

S33-P0168 original line 1343, 00:07:44.080 --> 00:07:45.589
you're not stressed, but when when

S33-P0169 original line 1351, 00:07:45.599 --> 00:07:47.270
anyone's stressed, they react badly.

S33-P0170 original line 1359, 00:07:47.280 --> 00:07:49.270
Like if you ever see a cat, a cat when

S33-P0171 original line 1367, 00:07:49.280 --> 00:07:51.189
it's stressed reacts in the most

S33-P0172 original line 1375, 00:07:51.199 --> 00:07:53.990
horrible way. And it's it's if you can

S33-P0173 original line 1383, 00:07:54.000 --> 00:07:55.510
just be objective, you can see things

S33-P0174 original line 1391, 00:07:55.520 --> 00:07:57.189
more clearly. You can see changes before

S33-P0175 original line 1399, 00:07:57.199 --> 00:07:58.950
that happened. Cuz how many how many

S33-P0176 original line 1407, 00:07:58.960 --> 00:08:02.070
traders make 3 months green and then

S33-P0177 original line 1415, 00:08:02.080 --> 00:08:04.790
then they just lose it all. Like Yeah.

S33-P0178 original line 1423, 00:08:04.800 --> 00:08:06.790
If you if you traded it without emotion,

S33-P0179 original line 1431, 00:08:06.800 --> 00:08:07.990
would you have lost it all in the fourth

S33-P0180 original line 1439, 00:08:08.000 --> 00:08:09.029
month? Or would you have thought, "No,

S33-P0181 original line 1447, 00:08:09.039 --> 00:08:10.309
the market's changing. I need to do

S33-P0182 original line 1455, 00:08:10.319 --> 00:08:12.309
something."

S33-P0183 original line 1463, 00:08:12.319 --> 00:08:13.990
Absolutely.

S33-P0184 original line 1471, 00:08:14.000 --> 00:08:16.869
Yeah. Sorry. 100%. Because I watch

S33-P0185 original line 1479, 00:08:16.879 --> 00:08:19.029
traders recaps who make millions of

S33-P0186 original line 1487, 00:08:19.039 --> 00:08:20.550
dollars and they all do the same thing

S33-P0187 original line 1495, 00:08:20.560 --> 00:08:25.909
that I was doing. I just couldn't do it.

S33-P0188 original line 1503, 00:08:25.919 --> 00:08:27.670
which but uh if you want to if you want

S33-P0189 original line 1511, 00:08:27.680 --> 00:08:29.430
to go into your charts, I'd be curious

S33-P0190 original line 1519, 00:08:29.440 --> 00:08:32.469
to see um if you can show me your profit

S33-P0191 original line 1527, 00:08:32.479 --> 00:08:34.870
curve on pinfo and share screen, I'd be

S33-P0192 original line 1535, 00:08:34.880 --> 00:08:36.389
very curious to talk a little bit

S33-P0193 original line 1543, 00:08:36.399 --> 00:08:37.909
through uh through your performance. But

S33-P0194 original line 1551, 00:08:37.919 --> 00:08:40.630
it's it's refreshing for anybody who's

S33-P0195 original line 1559, 00:08:40.640 --> 00:08:42.790
been trading 5 years, trading 8 years,

S33-P0196 original line 1567, 00:08:42.800 --> 00:08:45.910
trading 10 years, not made it.

S33-P0197 original line 1575, 00:08:45.920 --> 00:08:48.389
If it's just the it's just the time it

S33-P0198 original line 1583, 00:08:48.399 --> 00:08:50.470
takes to mature and not mature, but

S33-P0199 original line 1591, 00:08:50.480 --> 00:08:53.150
manage your

S33-P0200 original line 1599, 00:08:53.160 --> 00:08:57.949
emotions. Yeah. Um, let me pull this

S33-P0201 original line 1607, 00:08:57.959 --> 00:09:01.590
up. There are two big takeaways I I I

S33-P0202 original line 1615, 00:09:01.600 --> 00:09:02.829
got when

S33-P0203 original line 1623, 00:09:02.839 --> 00:09:06.070
I got on to Kinfo and actually just

S33-P0204 original line 1631, 00:09:06.080 --> 00:09:08.990
looked at this and it was

S33-P0205 original line 1639, 00:09:09.000 --> 00:09:13.190
um, one of them was my portfolio stop

S33-P0206 original line 1647, 00:09:13.200 --> 00:09:16.269
loss. Uh, what what I call my portfolio

S33-P0207 original line 1655, 00:09:16.279 --> 00:09:19.030
stop-loss. And,

S33-P0208 original line 1663, 00:09:19.040 --> 00:09:21.910
uh, just my portfolio stop loss working.

S33-P0209 original line 1671, 00:09:21.920 --> 00:09:24.870
Um, and it's visually very apparent once

S33-P0210 original line 1679, 00:09:24.880 --> 00:09:28.110
you look at this chart. So

S33-P0211 original line 1687, 00:09:28.120 --> 00:09:33.630
that that part of my strategy is if I

S33-P0212 original line 1695, 00:09:33.640 --> 00:09:37.750
lose 10 to 15 or maximum 20% of my

S33-P0213 original line 1703, 00:09:37.760 --> 00:09:41.750
portfolio value, I liquidate everything

S33-P0214 original line 1711, 00:09:41.760 --> 00:09:44.389
and I stop trading altogether. Um,

S33-P0215 original line 1719, 00:09:44.399 --> 00:09:46.630
doesn't matter why I did it, why it

S33-P0216 original line 1727, 00:09:46.640 --> 00:09:48.550
happened. I just do that and I stop

S33-P0217 original line 1735, 00:09:48.560 --> 00:09:51.430
trading for a few days or a couple

S33-P0218 original line 1743, 00:09:51.440 --> 00:09:54.030
weeks. Yeah.

S33-P0219 original line 1751, 00:09:54.040 --> 00:09:56.030
And

S33-P0220 original line 1759, 00:09:56.040 --> 00:09:59.910
um I I wanted to highlight those because

S33-P0221 original line 1767, 00:09:59.920 --> 00:10:04.630
this last year in July was a pretty

S33-P0222 original line 1775, 00:10:04.640 --> 00:10:07.190
actually the first time I I really did

S33-P0223 original line 1783, 00:10:07.200 --> 00:10:12.310
it was uh in April of 2024. And you can

S33-P0224 original line 1791, 00:10:12.320 --> 00:10:15.910
see I had a big drop off here and it

S33-P0225 original line 1799, 00:10:15.920 --> 00:10:17.949
just flatlined because I stopped myself

S33-P0226 original line 1807, 00:10:17.959 --> 00:10:23.670
out. And after that it I proceeded to

S33-P0227 original line 1815, 00:10:23.680 --> 00:10:25.910
come back with a fresh mind and was able

S33-P0228 original line 1823, 00:10:25.920 --> 00:10:28.870
to make new highs, right? And then from

S33-P0229 original line 1831, 00:10:28.880 --> 00:10:31.790
those new highs, I had another big big

S33-P0230 original line 1839, 00:10:31.800 --> 00:10:35.350
drop and flatlined and I was able to

S33-P0231 original line 1847, 00:10:35.360 --> 00:10:37.670
come back with a fresh mind again and

S33-P0232 original line 1855, 00:10:37.680 --> 00:10:40.790
you know almost doubled my profits from

S33-P0233 original line 1863, 00:10:40.800 --> 00:10:47.310
from the low. And I think this

S33-P0234 original line 1871, 00:10:47.320 --> 00:10:50.269
was it was really nice to see this

S33-P0235 original line 1879, 00:10:50.279 --> 00:10:52.990
because it really showed me

S33-P0236 original line 1887, 00:10:53.000 --> 00:10:57.030
how, you know, if if in my past, as I

S33-P0237 original line 1895, 00:10:57.040 --> 00:10:59.269
told you, I I would roundtrip a lot of

S33-P0238 original line 1903, 00:10:59.279 --> 00:11:02.470
my gains. And it's because I didn't have

S33-P0239 original line 1911, 00:11:02.480 --> 00:11:05.230
this mechanism in place.

S33-P0240 original line 1919, 00:11:05.240 --> 00:11:12.389
Um, and it it was just such a stark

S33-P0241 original line 1927, 00:11:12.399 --> 00:11:13.870
um change

S33-P0242 original line 1935, 00:11:13.880 --> 00:11:16.910
because I kind of look at trading

S33-P0243 original line 1943, 00:11:16.920 --> 00:11:20.230
as as sport as a sport. I think it's

S33-P0244 original line 1951, 00:11:20.240 --> 00:11:22.710
very analogous to sports. Um, I really

S33-P0245 original line 1959, 00:11:22.720 --> 00:11:25.190
like basketball. So, I'll use that as my

S33-P0246 original line 1967, 00:11:25.200 --> 00:11:27.870
analogy. But, you know, I

S33-P0247 original line 1975, 00:11:27.880 --> 00:11:31.509
think in sports, you know, they always

S33-P0248 original line 1983, 00:11:31.519 --> 00:11:34.750
say defense wins games. Defense wins

S33-P0249 original line 1991, 00:11:34.760 --> 00:11:39.310
champions championships. And in

S33-P0250 original line 1999, 00:11:39.320 --> 00:11:42.630
trading defense, the way I see it is

S33-P0251 original line 2007, 00:11:42.640 --> 00:11:45.350
you're trying to protect your capital

S33-P0252 original line 2015, 00:11:45.360 --> 00:11:46.430
from

S33-P0253 original line 2023, 00:11:46.440 --> 00:11:49.550
yourself. Like we are our own worst

S33-P0254 original line 2031, 00:11:49.560 --> 00:11:52.389
enemies a lot of times cuz no one's

S33-P0255 original line 2039, 00:11:52.399 --> 00:11:55.430
making you lose money, right? There's no

S33-P0256 original line 2047, 00:11:55.440 --> 00:11:57.030
one like blocking your trades or

S33-P0257 original line 2055, 00:11:57.040 --> 00:11:58.870
anything. You can do whatever you want.

S33-P0258 original line 2063, 00:11:58.880 --> 00:12:00.750
But

S33-P0259 original line 2071, 00:12:00.760 --> 00:12:04.150
um a lot of traders like me in the

S33-P0260 original line 2079, 00:12:04.160 --> 00:12:06.310
beginning, we come into it without

S33-P0261 original line 2087, 00:12:06.320 --> 00:12:10.069
defense and we we don't realize that,

S33-P0262 original line 2095, 00:12:10.079 --> 00:12:12.470
you know, we're actually our own worst

S33-P0263 original line 2103, 00:12:12.480 --> 00:12:15.430
enemy. It's not the Wall Street

S33-P0264 original line 2111, 00:12:15.440 --> 00:12:18.230
institutions hunting your stops. It's

S33-P0265 original line 2119, 00:12:18.240 --> 00:12:21.350
not, you know, some algo trader out

S33-P0266 original line 2127, 00:12:21.360 --> 00:12:22.949
there, right? Those are not your

S33-P0267 original line 2135, 00:12:22.959 --> 00:12:26.949
opponents. really you're trying to um

S33-P0268 original line 2143, 00:12:26.959 --> 00:12:30.230
optimize what you do best uh to make the

S33-P0269 original line 2151, 00:12:30.240 --> 00:12:32.629
most profit but also protect your

S33-P0270 original line 2159, 00:12:32.639 --> 00:12:35.590
capital from yourself when you're you're

S33-P0271 original line 2167, 00:12:35.600 --> 00:12:39.190
not doing well. Um so yeah, I had

S33-P0272 original line 2175, 00:12:39.200 --> 00:12:41.990
several times where I stopped out here,

S33-P0273 original line 2183, 00:12:42.000 --> 00:12:43.710
here,

S33-P0274 original line 2191, 00:12:43.720 --> 00:12:45.310
um

S33-P0275 original line 2199, 00:12:45.320 --> 00:12:48.310
here. This was a big one. And then, you

S33-P0276 original line 2207, 00:12:48.320 --> 00:12:50.310
know, each one of those proceeded with

S33-P0277 original line 2215, 00:12:50.320 --> 00:12:53.790
me just making new highs.

S33-P0278 original line 2223, 00:12:53.800 --> 00:12:57.269
And yeah, I uh that's one of the key

S33-P0279 original line 2231, 00:12:57.279 --> 00:13:01.230
takeaways I had from this.

S33-P0280 original line 2239, 00:13:01.240 --> 00:13:06.190
Um, another key takeaway is

S33-P0281 original line 2247, 00:13:06.200 --> 00:13:12.230
uh scaling for me. Um when you know when

S33-P0282 original line 2255, 00:13:12.240 --> 00:13:15.550
my portfolio started going up a lot

S33-P0283 original line 2263, 00:13:15.560 --> 00:13:18.710
here, scaling kind of became an issue

S33-P0284 original line 2271, 00:13:18.720 --> 00:13:19.629
for me

S33-P0285 original line 2279, 00:13:19.639 --> 00:13:22.670
mentally. Uh when you double triple your

S33-P0286 original line 2287, 00:13:22.680 --> 00:13:25.430
account, it's kind of like do I start

S33-P0287 original line 2295, 00:13:25.440 --> 00:13:28.550
doubling and tripling my position sizes

S33-P0288 original line 2303, 00:13:28.560 --> 00:13:32.389
as well. Um, and it, you know, I I'm

S33-P0289 original line 2311, 00:13:32.399 --> 00:13:35.990
still human, so it's like I know people

S33-P0290 original line 2319, 00:13:36.000 --> 00:13:37.430
always say like trade based on

S33-P0291 original line 2327, 00:13:37.440 --> 00:13:39.829
percentages, but it's still hard to see

S33-P0292 original line 2335, 00:13:39.839 --> 00:13:42.629
like, you know, your portfolio fluctuate

S33-P0293 original line 2343, 00:13:42.639 --> 00:13:46.150
from hundreds to thousands to tens of

S33-P0294 original line 2351, 00:13:46.160 --> 00:13:49.190
thousands uh within the days and weeks.

S33-P0295 original line 2359, 00:13:49.200 --> 00:13:51.150
So,

S33-P0296 original line 2367, 00:13:51.160 --> 00:13:54.670
um, yeah, this,

S33-P0297 original line 2375, 00:13:54.680 --> 00:13:58.069
uh, currently I'm, you can see I'm sort

S33-P0298 original line 2383, 00:13:58.079 --> 00:14:00.750
of in a consolidating

S33-P0299 original line 2391, 00:14:00.760 --> 00:14:04.470
period. And I think this, the last five

S33-P0300 original line 2399, 00:14:04.480 --> 00:14:07.829
months, this year, it's really been a

S33-P0301 original line 2407, 00:14:07.839 --> 00:14:11.350
issue for me trying to get down my my

S33-P0302 original line 2415, 00:14:11.360 --> 00:14:12.949
scaling.

S33-P0303 original line 2423, 00:14:12.959 --> 00:14:16.790
um this big loss here in January that I

S33-P0304 original line 2431, 00:14:16.800 --> 00:14:20.790
took. It was one trade. It was it it was

S33-P0305 original line 2439, 00:14:20.800 --> 00:14:22.509
one trade in I think

S33-P0306 original line 2447, 00:14:22.519 --> 00:14:26.670
MSTX and I just went way too large in

S33-P0307 original line 2455, 00:14:26.680 --> 00:14:30.710
size and I took a big loss. I stopped

S33-P0308 original line 2463, 00:14:30.720 --> 00:14:33.030
myself out actually kind of too late. I

S33-P0309 original line 2471, 00:14:33.040 --> 00:14:35.110
think this was more than more than 10%

S33-P0310 original line 2479, 00:14:35.120 --> 00:14:37.629
of my portfolio maybe.

S33-P0311 original line 2487, 00:14:37.639 --> 00:14:41.430
Um, and so since then I I've been slowly

S33-P0312 original line 2495, 00:14:41.440 --> 00:14:45.350
grinding back up. But yeah, I'm kind of

S33-P0313 original line 2503, 00:14:45.360 --> 00:14:48.949
in that phase of just I'm I'm just

S33-P0314 original line 2511, 00:14:48.959 --> 00:14:51.670
constantly learning like what where is

S33-P0315 original line 2519, 00:14:51.680 --> 00:14:53.670
my risk tolerance and getting

S33-P0316 original line 2527, 00:14:53.680 --> 00:14:57.910
comfortable with with the size. And I've

S33-P0317 original line 2535, 00:14:57.920 --> 00:15:00.470
got two questions for you. Uh the first

S33-P0318 original line 2543, 00:15:00.480 --> 00:15:02.269
one

S33-P0319 original line 2551, 00:15:02.279 --> 00:15:05.829
is like how do you handle how do you

S33-P0320 original line 2559, 00:15:05.839 --> 00:15:07.430
have the mental strength to do 4 months

S33-P0321 original line 2567, 00:15:07.440 --> 00:15:08.790
without making any money? Because that's

S33-P0322 original line 2575, 00:15:08.800 --> 00:15:10.230
that's where a lot of people go wrong.

S33-P0323 original line 2583, 00:15:10.240 --> 00:15:11.670
They think I'm not making money for a

S33-P0324 original line 2591, 00:15:11.680 --> 00:15:14.310
few months. It's I'm not I'm not a good

S33-P0325 original line 2599, 00:15:14.320 --> 00:15:15.910
trader anymore. It doesn't work anymore.

S33-P0326 original line 2607, 00:15:15.920 --> 00:15:17.829
But then you you're always just behind

S33-P0327 original line 2615, 00:15:17.839 --> 00:15:19.910
100 100k a month or 100k in a few

S33-P0328 original line 2623, 00:15:19.920 --> 00:15:20.949
months. So how do you have the

S33-P0329 original line 2631, 00:15:20.959 --> 00:15:23.670
resilience to to have the faith in your

S33-P0330 original line 2639, 00:15:23.680 --> 00:15:25.870
system?

S33-P0331 original line 2647, 00:15:25.880 --> 00:15:29.470
Um good question.

S33-P0332 original line 2655, 00:15:29.480 --> 00:15:33.269
So before I went full-time, I made sure

S33-P0333 original line 2663, 00:15:33.279 --> 00:15:36.069
I had a pretty good buffer, you know, in

S33-P0334 original line 2671, 00:15:36.079 --> 00:15:40.949
our savings. And um I I knew that

S33-P0335 original line 2679, 00:15:40.959 --> 00:15:43.629
trading isn't going to

S33-P0336 original line 2687, 00:15:43.639 --> 00:15:46.389
be like every day I make money or every

S33-P0337 original line 2695, 00:15:46.399 --> 00:15:51.430
month I make money. Um, so there is like

S33-P0338 original line 2703, 00:15:51.440 --> 00:15:53.670
having the buffer allows me to still

S33-P0339 original line 2711, 00:15:53.680 --> 00:15:56.790
live a normal life without kind of like

S33-P0340 original line 2719, 00:15:56.800 --> 00:15:58.749
freaking out about paying

S33-P0341 original line 2727, 00:15:58.759 --> 00:16:00.910
bills, but

S33-P0342 original line 2735, 00:16:00.920 --> 00:16:04.069
also I'm I would say I'm pretty

S33-P0343 original line 2743, 00:16:04.079 --> 00:16:06.790
competitive

S33-P0344 original line 2751, 00:16:06.800 --> 00:16:10.069
uh in general. So I I play basketball

S33-P0345 original line 2759, 00:16:10.079 --> 00:16:13.670
and I am pretty competitive there. And

S33-P0346 original line 2767, 00:16:13.680 --> 00:16:16.430
um there's a part of me

S33-P0347 original line 2775, 00:16:16.440 --> 00:16:20.749
that for whatever reason uh

S33-P0348 original line 2783, 00:16:20.759 --> 00:16:26.269
I I just trust that my system's going to

S33-P0349 original line 2791, 00:16:26.279 --> 00:16:28.590
work. And

S33-P0350 original line 2799, 00:16:28.600 --> 00:16:32.389
um cuz cuz I think I've proven it enough

S33-P0351 original line 2807, 00:16:32.399 --> 00:16:34.629
to know that over time it will work. But

S33-P0352 original line 2815, 00:16:34.639 --> 00:16:36.710
there will be times when I'm going to

S33-P0353 original line 2823, 00:16:36.720 --> 00:16:37.710
take draw

S33-P0354 original line 2831, 00:16:37.720 --> 00:16:41.110
downs and

S33-P0355 original line 2839, 00:16:41.120 --> 00:16:42.389
uh

S33-P0356 original line 2847, 00:16:42.399 --> 00:16:45.110
I I think I when I look back at my

S33-P0357 original line 2855, 00:16:45.120 --> 00:16:47.310
trading

S33-P0358 original line 2863, 00:16:47.320 --> 00:16:51.509
um history, it's most of my draw downs

S33-P0359 original line 2871, 00:16:51.519 --> 00:16:53.749
are due to mistakes. It's me not

S33-P0360 original line 2879, 00:16:53.759 --> 00:16:58.230
stopping myself out or it's me using too

S33-P0361 original line 2887, 00:16:58.240 --> 00:16:59.230
big of a

S33-P0362 original line 2895, 00:16:59.240 --> 00:17:04.710
size. And so I I I think I just trust

S33-P0363 original line 2903, 00:17:04.720 --> 00:17:06.870
the strategy because I know it it's a

S33-P0364 original line 2911, 00:17:06.880 --> 00:17:10.150
strategy that makes makes money. It's

S33-P0365 original line 2919, 00:17:10.160 --> 00:17:11.549
really

S33-P0366 original line 2927, 00:17:11.559 --> 00:17:14.949
me. The theme is me just working on

S33-P0367 original line 2935, 00:17:14.959 --> 00:17:19.350
myself. Yeah. No, 100% understand. And

S33-P0368 original line 2943, 00:17:19.360 --> 00:17:20.710
we're all I mean, when you think about

S33-P0369 original line 2951, 00:17:20.720 --> 00:17:22.470
it, we all work on ourselves our entire

S33-P0370 original line 2959, 00:17:22.480 --> 00:17:24.630
lives. Everyone's quest is to be a

S33-P0371 original line 2967, 00:17:24.640 --> 00:17:27.590
better version of themsel every day. Uh

S33-P0372 original line 2975, 00:17:27.600 --> 00:17:29.350
yeah, I don't want to go too deep, but

S33-P0373 original line 2983, 00:17:29.360 --> 00:17:30.870
like that's how we're built. I mean, as

S33-P0374 original line 2991, 00:17:30.880 --> 00:17:32.870
humans, that's how we're built because

S33-P0375 original line 2999, 00:17:32.880 --> 00:17:34.549
if we weren't built always wanting to be

S33-P0376 original line 3007, 00:17:34.559 --> 00:17:37.270
better, we' just uh get fat and lazy and

S33-P0377 original line 3015, 00:17:37.280 --> 00:17:40.549
be extinct. So, It's just this is how

S33-P0378 original line 3023, 00:17:40.559 --> 00:17:42.230
we're built. But can you tell me about

S33-P0379 original line 3031, 00:17:42.240 --> 00:17:44.230
those like those crazy days? Like that's

S33-P0380 original line 3039, 00:17:44.240 --> 00:17:46.710
one trade in March. March 13, I think.

S33-P0381 original line 3047, 00:17:46.720 --> 00:17:48.549
March 13 looks like a crazy trade.

S33-P0382 original line 3055, 00:17:48.559 --> 00:17:52.070
November 23 went on that run. What what

S33-P0383 original line 3063, 00:17:52.080 --> 00:17:54.230
what happened there? Like and how did

S33-P0384 original line 3071, 00:17:54.240 --> 00:17:55.430
you learn this? How did you find your

S33-P0385 original line 3079, 00:17:55.440 --> 00:17:58.470
edge? What are these trades?

S33-P0386 original line 3087, 00:17:58.480 --> 00:18:01.270
Yeah. Uh Yi here. Yeah. Like what was

S33-P0387 original line 3095, 00:18:01.280 --> 00:18:02.950
that? That's one trade. No. Is that an

S33-P0388 original line 3103, 00:18:02.960 --> 00:18:05.909
options trade? Yeah. Yeah. Um, so this

S33-P0389 original line 3111, 00:18:05.919 --> 00:18:07.150
was

S33-P0390 original line 3119, 00:18:07.160 --> 00:18:10.710
SMCI and this was if you remember last

S33-P0391 original line 3127, 00:18:10.720 --> 00:18:16.190
year SMCI super micro went parabolic.

S33-P0392 original line 3135, 00:18:16.200 --> 00:18:20.590
Um, and I I was riding the

S33-P0393 original line 3143, 00:18:20.600 --> 00:18:23.909
momentum and I just bought calls and it

S33-P0394 original line 3151, 00:18:23.919 --> 00:18:25.230
it was kind of a

S33-P0395 original line 3159, 00:18:25.240 --> 00:18:29.270
lucky trade because I bought calls on

S33-P0396 original line 3167, 00:18:29.280 --> 00:18:31.110
like Thursday or Friday and then that

S33-P0397 original line 3175, 00:18:31.120 --> 00:18:34.710
next week that weekend they announced SM

S33-P0398 original line 3183, 00:18:34.720 --> 00:18:38.950
they added SMCI to S&P 500 and on Monday

S33-P0399 original line 3191, 00:18:38.960 --> 00:18:43.270
it it opened um really high and they

S33-P0400 original line 3199, 00:18:43.280 --> 00:18:46.390
sold us did they I I had

S33-P0401 original line 3207, 00:18:46.400 --> 00:18:48.150
no

S33-P0402 original line 3215, 00:18:48.160 --> 00:18:50.110
no I I literally was

S33-P0403 original line 3223, 00:18:50.120 --> 00:18:54.230
just it it was just a textbook like

S33-P0404 original line 3231, 00:18:54.240 --> 00:18:58.190
um trade for me um momentum trade for me

S33-P0405 original line 3239, 00:18:58.200 --> 00:19:02.070
and I would say that that's kind of the

S33-P0406 original line 3247, 00:19:02.080 --> 00:19:05.190
the case for most of my quote unquote

S33-P0407 original line 3255, 00:19:05.200 --> 00:19:08.630
home runs. They're mo most of them are

S33-P0408 original line 3263, 00:19:08.640 --> 00:19:11.190
just textbook trades that I I never

S33-P0409 original line 3271, 00:19:11.200 --> 00:19:13.470
expect them to be home

S33-P0410 original line 3279, 00:19:13.480 --> 00:19:16.150
runs. They're they just happen to be

S33-P0411 original line 3287, 00:19:16.160 --> 00:19:18.470
like a base hit type of normal trade

S33-P0412 original line 3295, 00:19:18.480 --> 00:19:23.110
that ends up working out really well. Um

S33-P0413 original line 3303, 00:19:23.120 --> 00:19:25.909
so most of my trading is is just this

S33-P0414 original line 3311, 00:19:25.919 --> 00:19:31.310
this like grinding higher sort of thing.

S33-P0415 original line 3319, 00:19:31.320 --> 00:19:33.909
And uh last year, I think the second

S33-P0416 original line 3327, 00:19:33.919 --> 00:19:36.789
half of the year was just crazy. Uh so

S33-P0417 original line 3335, 00:19:36.799 --> 00:19:38.549
my normal trades, they just ended up

S33-P0418 original line 3343, 00:19:38.559 --> 00:19:40.750
performing really well because of the

S33-P0419 original line 3351, 00:19:40.760 --> 00:19:44.150
election. Um I can kind of go into like

S33-P0420 original line 3359, 00:19:44.160 --> 00:19:47.150
if you want me to, I can go into these

S33-P0421 original line 3367, 00:19:47.160 --> 00:19:51.110
bigger ups and downs because I kind of I

S33-P0422 original line 3375, 00:19:51.120 --> 00:19:53.590
did go back and look at them to see what

S33-P0423 original line 3383, 00:19:53.600 --> 00:19:55.350
what trades does. Well, absolutely. or

S33-P0424 original line 3391, 00:19:55.360 --> 00:19:56.710
if you have a couple of charts as well.

S33-P0425 original line 3399, 00:19:56.720 --> 00:19:57.990
If you can throw a couple of chart, I'm

S33-P0426 original line 3407, 00:19:58.000 --> 00:19:59.830
just curious like how you trade, how you

S33-P0427 original line 3415, 00:19:59.840 --> 00:20:01.590
form the thesis, what you're thinking

S33-P0428 original line 3423, 00:20:01.600 --> 00:20:03.669
about, maybe one example of a pattern or

S33-P0429 original line 3431, 00:20:03.679 --> 00:20:06.270
something like that cuz like

S33-P0430 original line 3439, 00:20:06.280 --> 00:20:09.750
Yeah. Okay, let me

S33-P0431 original line 3447, 00:20:09.760 --> 00:20:11.669
especially with the options side of

S33-P0432 original line 3455, 00:20:11.679 --> 00:20:13.350
things because uh a lot of people will

S33-P0433 original line 3463, 00:20:13.360 --> 00:20:14.950
be curious about options because of the

S33-P0434 original line 3471, 00:20:14.960 --> 00:20:17.830
volatility in them, right? Like uh if

S33-P0435 original line 3479, 00:20:17.840 --> 00:20:20.070
you' have bought HIMS HMS, you'll know.

S33-P0436 original line 3487, 00:20:20.080 --> 00:20:23.750
Do you know HIMS? Oh, yeah. Like I I I

S33-P0437 original line 3495, 00:20:23.760 --> 00:20:25.510
was long I was longing that a while cuz

S33-P0438 original line 3503, 00:20:25.520 --> 00:20:26.950
I bought that dip a while and I was

S33-P0439 original line 3511, 00:20:26.960 --> 00:20:28.470
thinking I don't want to cut this. I

S33-P0440 original line 3519, 00:20:28.480 --> 00:20:30.390
don't want to cut this. And then it it's

S33-P0441 original line 3527, 00:20:30.400 --> 00:20:31.510
just it looked like it was never going

S33-P0442 original line 3535, 00:20:31.520 --> 00:20:32.789
to bounce and now it's going to go to

S33-P0443 original line 3543, 00:20:32.799 --> 00:20:35.750
alltime highs. And you just think how

S33-P0444 original line 3551, 00:20:35.760 --> 00:20:39.669
like how did that happen? I know. If you

S33-P0445 original line 3559, 00:20:39.679 --> 00:20:41.830
had calls on that, I wouldn't like to

S33-P0446 original line 3567, 00:20:41.840 --> 00:20:43.590
think.

S33-P0447 original line 3575, 00:20:43.600 --> 00:20:47.430
Uh for him, I don't believe I bought

S33-P0448 original line 3583, 00:20:47.440 --> 00:20:50.149
calls. I think I bought shares uh for

S33-P0449 original line 3591, 00:20:50.159 --> 00:20:52.149
that one.

S33-P0450 original line 3599, 00:20:52.159 --> 00:20:55.029
Uh, hold on one sec.

S33-P0451 original line 3607, 00:20:55.039 --> 00:20:56.630
Call phrase. What was your thought on

S33-P0452 original line 3615, 00:20:56.640 --> 00:20:58.149
HIMS? I want to know if it was similar

S33-P0453 original line 3623, 00:20:58.159 --> 00:21:00.310
to mine.

S33-P0454 original line 3631, 00:21:00.320 --> 00:21:03.750
Um, him when it took that huge drop uh

S33-P0455 original line 3639, 00:21:03.760 --> 00:21:07.110
in March or April. Yeah. Uh, I I already

S33-P0456 original line 3647, 00:21:07.120 --> 00:21:09.029
started getting bullish on it, but there

S33-P0457 original line 3655, 00:21:09.039 --> 00:21:11.350
was the whole tariff stuff happening,

S33-P0458 original line 3663, 00:21:11.360 --> 00:21:12.510
right?

S33-P0459 original line 3671, 00:21:12.520 --> 00:21:17.029
And um I for for the most part I'd say

S33-P0460 original line 3679, 00:21:17.039 --> 00:21:20.070
in April I was trading more shares than

S33-P0461 original line 3687, 00:21:20.080 --> 00:21:22.710
options because or if I did trade

S33-P0462 original line 3695, 00:21:22.720 --> 00:21:25.590
options it was like shorting options. So

S33-P0463 original line 3703, 00:21:25.600 --> 00:21:27.669
shorting puts or shorting calls against

S33-P0464 original line 3711, 00:21:27.679 --> 00:21:29.830
my shares because I knew there was going

S33-P0465 original line 3719, 00:21:29.840 --> 00:21:31.270
to be a lot of volatility with the

S33-P0466 original line 3727, 00:21:31.280 --> 00:21:32.789
tariff

S33-P0467 original line 3735, 00:21:32.799 --> 00:21:36.710
um stuff happening. And

S33-P0468 original line 3743, 00:21:36.720 --> 00:21:39.310
um it's way easier

S33-P0469 original line 3751, 00:21:39.320 --> 00:21:42.270
to just hold on when you're holding

S33-P0470 original line 3759, 00:21:42.280 --> 00:21:45.230
shares, right? So

S33-P0471 original line 3767, 00:21:45.240 --> 00:21:50.270
um so in terms of strategy, I want to

S33-P0472 original line 3775, 00:21:50.280 --> 00:21:52.430
share

S33-P0473 original line 3783, 00:21:52.440 --> 00:21:58.470
maybe two two main strategies that I uh

S33-P0474 original line 3791, 00:21:58.480 --> 00:22:01.230
employ. One of them is the

S33-P0475 original line 3799, 00:22:01.240 --> 00:22:02.990
pre-earnings

S33-P0476 original line 3807, 00:22:03.000 --> 00:22:05.870
rallies. And I

S33-P0477 original line 3815, 00:22:05.880 --> 00:22:09.430
love this for just buying call options.

S33-P0478 original line 3823, 00:22:09.440 --> 00:22:12.789
I I think so for options trading, the

S33-P0479 original line 3831, 00:22:12.799 --> 00:22:14.950
hardest part about it is if you're going

S33-P0480 original line 3839, 00:22:14.960 --> 00:22:18.310
to go long options, you need to time it

S33-P0481 original line 3847, 00:22:18.320 --> 00:22:20.590
correctly, right? because there is an

S33-P0482 original line 3855, 00:22:20.600 --> 00:22:25.270
expiration there's beta decay and the

S33-P0483 original line 3863, 00:22:25.280 --> 00:22:28.149
other part is there's IV there's

S33-P0484 original line 3871, 00:22:28.159 --> 00:22:30.390
volatility component to the options

S33-P0485 original line 3879, 00:22:30.400 --> 00:22:34.230
pricing so if the volatility drops over

S33-P0486 original line 3887, 00:22:34.240 --> 00:22:37.430
time your options value will drop over

S33-P0487 original line 3895, 00:22:37.440 --> 00:22:41.190
time with it even if the stock price

S33-P0488 original line 3903, 00:22:41.200 --> 00:22:45.190
goes slightly up or sideways right if

S33-P0489 original line 3911, 00:22:45.200 --> 00:22:47.909
you're buying calls or buying puts you

S33-P0490 original line 3919, 00:22:47.919 --> 00:22:52.149
need that move up or down to happen

S33-P0491 original line 3927, 00:22:52.159 --> 00:22:55.390
pretty soon or way way sooner than your

S33-P0492 original line 3935, 00:22:55.400 --> 00:23:00.190
expiration, right? Yeah. So,

S33-P0493 original line 3943, 00:23:00.200 --> 00:23:02.630
um I'm pretty comfortable sharing the

S33-P0494 original line 3951, 00:23:02.640 --> 00:23:05.830
strategy. I I I think people get afraid

S33-P0495 original line 3959, 00:23:05.840 --> 00:23:07.270
of like sharing strategies because they

S33-P0496 original line 3967, 00:23:07.280 --> 00:23:10.510
think the edge will go away. But yeah,

S33-P0497 original line 3975, 00:23:10.520 --> 00:23:13.909
um this is one of those things where I

S33-P0498 original line 3983, 00:23:13.919 --> 00:23:17.190
don't think the edge will ever like this

S33-P0499 original line 3991, 00:23:17.200 --> 00:23:19.149
is a phenomenon that I think will always

S33-P0500 original line 3999, 00:23:19.159 --> 00:23:23.110
happen. Um just due to market greed and

S33-P0501 original line 4007, 00:23:23.120 --> 00:23:26.149
just how just how hype works uh which is

S33-P0502 original line 4015, 00:23:26.159 --> 00:23:29.750
something I I I really became in tune

S33-P0503 original line 4023, 00:23:29.760 --> 00:23:31.909
with hype and like taking advantage of

S33-P0504 original line 4031, 00:23:31.919 --> 00:23:36.149
hype uh when I was in crypto. So there

S33-P0505 original line 4039, 00:23:36.159 --> 00:23:38.789
are only a few things in the market that

S33-P0506 original line 4047, 00:23:38.799 --> 00:23:41.870
are certain and one of them

S33-P0507 original line 4055, 00:23:41.880 --> 00:23:45.350
is earnings. Earnings will always happen

S33-P0508 original line 4063, 00:23:45.360 --> 00:23:48.990
every quarter, right? And the mag seven

S33-P0509 original line 4071, 00:23:49.000 --> 00:23:51.350
earnings are the biggest. It's kind of

S33-P0510 original line 4079, 00:23:51.360 --> 00:23:54.390
like the crescendo of earnings season.

S33-P0511 original line 4087, 00:23:54.400 --> 00:23:58.669
And so I break up my year of trading

S33-P0512 original line 4095, 00:23:58.679 --> 00:24:01.990
into basically four parts. It's just all

S33-P0513 original line 4103, 00:24:02.000 --> 00:24:04.789
based on earnings. So when I think about

S33-P0514 original line 4111, 00:24:04.799 --> 00:24:07.430
these swing trades that I make, I'm

S33-P0515 original line 4119, 00:24:07.440 --> 00:24:10.350
always thinking about where are we in

S33-P0516 original line 4127, 00:24:10.360 --> 00:24:13.190
relation to the previous earnings and

S33-P0517 original line 4135, 00:24:13.200 --> 00:24:14.830
the earnings coming

S33-P0518 original line 4143, 00:24:14.840 --> 00:24:18.990
up, right? And one of my main strategies

S33-P0519 original line 4151, 00:24:19.000 --> 00:24:20.750
is

S33-P0520 original line 4159, 00:24:20.760 --> 00:24:23.710
to is recognizing

S33-P0521 original line 4167, 00:24:23.720 --> 00:24:28.710
that the few weeks to a month prior to

S33-P0522 original line 4175, 00:24:28.720 --> 00:24:31.990
an earnings for MAG 7

S33-P0523 original line 4183, 00:24:32.000 --> 00:24:34.190
um or a really strong momentum

S33-P0524 original line 4191, 00:24:34.200 --> 00:24:37.470
stock usually the stock will go

S33-P0525 original line 4199, 00:24:37.480 --> 00:24:43.230
up. the the magnitude is random, but um

S33-P0526 original line 4207, 00:24:43.240 --> 00:24:46.310
usually it trends upward into earnings

S33-P0527 original line 4215, 00:24:46.320 --> 00:24:47.750
because people don't want to be shorting

S33-P0528 original line 4223, 00:24:47.760 --> 00:24:50.310
it um or they're just getting hyped

S33-P0529 original line 4231, 00:24:50.320 --> 00:24:52.230
because her previous earnings were

S33-P0530 original line 4239, 00:24:52.240 --> 00:24:55.269
really good. So

S33-P0531 original line 4247, 00:24:55.279 --> 00:24:58.310
um so for options you have a lot of

S33-P0532 original line 4255, 00:24:58.320 --> 00:25:00.789
benefits when you can kind of when you

S33-P0533 original line 4263, 00:25:00.799 --> 00:25:03.590
know an earnings is coming because you

S33-P0534 original line 4271, 00:25:03.600 --> 00:25:07.350
can buy the contract that's expiring the

S33-P0535 original line 4279, 00:25:07.360 --> 00:25:08.669
right after

S33-P0536 original line 4287, 00:25:08.679 --> 00:25:11.110
earnings that protects you on the IV

S33-P0537 original line 4295, 00:25:11.120 --> 00:25:14.789
side on the volatility side because

S33-P0538 original line 4303, 00:25:14.799 --> 00:25:17.190
volatility increases as we get closer

S33-P0539 original line 4311, 00:25:17.200 --> 00:25:20.390
and closer to earnings. Yeah. Um and you

S33-P0540 original line 4319, 00:25:20.400 --> 00:25:22.070
definitely want to buy the contract

S33-P0541 original line 4327, 00:25:22.080 --> 00:25:25.950
expiring after earnings. Um and

S33-P0542 original line 4335, 00:25:25.960 --> 00:25:30.590
then you also get the positive drift um

S33-P0543 original line 4343, 00:25:30.600 --> 00:25:33.870
component and that increase in

S33-P0544 original line 4351, 00:25:33.880 --> 00:25:38.669
volatility as time goes by also helps

S33-P0545 original line 4359, 00:25:38.679 --> 00:25:42.190
to offset the theta decay on those

S33-P0546 original line 4367, 00:25:42.200 --> 00:25:45.269
contracts. So the time value on those

S33-P0547 original line 4375, 00:25:45.279 --> 00:25:49.149
contracts kind of get offset. Um

S33-P0548 original line 4383, 00:25:49.159 --> 00:25:54.549
um so yeah by that so the theta the

S33-P0549 original line 4391, 00:25:54.559 --> 00:25:56.310
theta will always decay the closer you

S33-P0550 original line 4399, 00:25:56.320 --> 00:25:57.590
get to the earnings right but it's the

S33-P0551 original line 4407, 00:25:57.600 --> 00:25:59.510
implied volatility will increase. Is

S33-P0552 original line 4415, 00:25:59.520 --> 00:26:01.269
that right? Because it's getting more

S33-P0553 original line 4423, 00:26:01.279 --> 00:26:02.870
volatile in the runup. So that kind of

S33-P0554 original line 4431, 00:26:02.880 --> 00:26:04.390
stays flat because one offsets the

S33-P0555 original line 4439, 00:26:04.400 --> 00:26:06.470
other. Yeah. Exactly. Is that right? Is

S33-P0556 original line 4447, 00:26:06.480 --> 00:26:07.510
that what you're saying? Yeah. Yeah. It

S33-P0557 original line 4455, 00:26:07.520 --> 00:26:09.950
makes sense to us. Yeah.

S33-P0558 original line 4463, 00:26:09.960 --> 00:26:12.390
So, I pretty much just try to take

S33-P0559 original line 4471, 00:26:12.400 --> 00:26:14.950
advantage of that fact. And so, if you

S33-P0560 original line 4479, 00:26:14.960 --> 00:26:18.070
look at like Micros Microsoft used to be

S33-P0561 original line 4487, 00:26:18.080 --> 00:26:20.549
my favorite stock to do this in a pre

S33-P0562 original line 4495, 00:26:20.559 --> 00:26:22.710
pre- earnings rally trade. Um, but

S33-P0563 original line 4503, 00:26:22.720 --> 00:26:25.909
lately it has not done it as well, but

S33-P0564 original line 4511, 00:26:25.919 --> 00:26:28.750
I'm always tracking it.

S33-P0565 original line 4519, 00:26:28.760 --> 00:26:31.990
And I'll just kind of expand this to

S33-P0566 original line 4527, 00:26:32.000 --> 00:26:36.390
see. So these boxes that I draw um this

S33-P0567 original line 4535, 00:26:36.400 --> 00:26:38.230
is the four-week period prior to the

S33-P0568 original line 4543, 00:26:38.240 --> 00:26:42.669
earnings calls. Okay.

S33-P0569 original line 4551, 00:26:42.679 --> 00:26:45.430
So you can tell in the last four

S33-P0570 original line 4559, 00:26:45.440 --> 00:26:48.390
earnings it didn't really give me a it

S33-P0571 original line 4567, 00:26:48.400 --> 00:26:51.029
didn't really give us a good like clear

S33-P0572 original line 4575, 00:26:51.039 --> 00:26:52.950
pre- earnings rally. So I actually

S33-P0573 original line 4583, 00:26:52.960 --> 00:26:55.510
stopped trading Microsoft. But I I want

S33-P0574 original line 4591, 00:26:55.520 --> 00:27:01.870
to use this as an example because

S33-P0575 original line 4599, 00:27:01.880 --> 00:27:03.950
um so

S33-P0576 original line 4607, 00:27:03.960 --> 00:27:07.390
for here like this earnings in January

S33-P0577 original line 4615, 00:27:07.400 --> 00:27:10.470
2024 you can tell that you know the

S33-P0578 original line 4623, 00:27:10.480 --> 00:27:14.110
month or two prior to

S33-P0579 original line 4631, 00:27:14.120 --> 00:27:17.590
uh so earnings is right here and this

S33-P0580 original line 4639, 00:27:17.600 --> 00:27:20.789
was the move in the last in the prior

S33-P0581 original line 4647, 00:27:20.799 --> 00:27:24.470
four weeks of earnings but prior to that

S33-P0582 original line 4655, 00:27:24.480 --> 00:27:27.190
after the previous earnings, um you did

S33-P0583 original line 4663, 00:27:27.200 --> 00:27:28.789
have a run up, but you also had just

S33-P0584 original line 4671, 00:27:28.799 --> 00:27:30.789
like sideways, right? So, if you're

S33-P0585 original line 4679, 00:27:30.799 --> 00:27:32.510
going to buy a call and you end up

S33-P0586 original line 4687, 00:27:32.520 --> 00:27:34.909
buying a call

S33-P0587 original line 4695, 00:27:34.919 --> 00:27:37.510
here this entire time when it's

S33-P0588 original line 4703, 00:27:37.520 --> 00:27:38.870
sideways, you're going to be losing

S33-P0589 original line 4711, 00:27:38.880 --> 00:27:43.830
money. Yeah. Cuz you don't call the

S33-P0590 original line 4719, 00:27:43.840 --> 00:27:45.190
Sorry, the the theater and the ivy

S33-P0591 original line 4727, 00:27:45.200 --> 00:27:47.990
together will not not make money. Yeah.

S33-P0592 original line 4735, 00:27:48.000 --> 00:27:49.710
Exactly.

S33-P0593 original line 4743, 00:27:49.720 --> 00:27:52.149
So, if you want to buy a call, you want

S33-P0594 original line 4751, 00:27:52.159 --> 00:27:54.310
to get in right around here or around

S33-P0595 original line 4759, 00:27:54.320 --> 00:27:57.149
here. So,

S33-P0596 original line 4767, 00:27:57.159 --> 00:28:00.710
um this was a good trade. Uh I think

S33-P0597 original line 4775, 00:28:00.720 --> 00:28:03.070
this was part of my

S33-P0598 original line 4783, 00:28:03.080 --> 00:28:06.510
January. Yeah, right. Uh my

S33-P0599 original line 4791, 00:28:06.520 --> 00:28:10.430
January spike up. I was trading those

S33-P0600 original line 4799, 00:28:10.440 --> 00:28:14.310
earnings and you can tell a right after

S33-P0601 original line 4807, 00:28:14.320 --> 00:28:16.950
earnings are released. It's just a

S33-P0602 original line 4815, 00:28:16.960 --> 00:28:20.230
completely random event. Right. Yeah.

S33-P0603 original line 4823, 00:28:20.240 --> 00:28:23.190
And I I always sell before the actual

S33-P0604 original line 4831, 00:28:23.200 --> 00:28:25.750
earnings calls cuz there's no point for

S33-P0605 original line 4839, 00:28:25.760 --> 00:28:27.950
me to participate in anything

S33-P0606 original line 4847, 00:28:27.960 --> 00:28:30.470
afterwards. It can it can spike up and

S33-P0607 original line 4855, 00:28:30.480 --> 00:28:32.230
keep going like this. I missed this

S33-P0608 original line 4863, 00:28:32.240 --> 00:28:34.470
whole thing, but that's just not where

S33-P0609 original line 4871, 00:28:34.480 --> 00:28:36.950
where my playground is, right? But I'm

S33-P0610 original line 4879, 00:28:36.960 --> 00:28:40.549
trying to find this is where Sorry. Your

S33-P0611 original line 4887, 00:28:40.559 --> 00:28:43.510
expiration is um your expiration is

S33-P0612 original line 4895, 00:28:43.520 --> 00:28:45.909
after the earnings but you normally sell

S33-P0613 original line 4903, 00:28:45.919 --> 00:28:49.430
the contracts before correct. All right.

S33-P0614 original line 4911, 00:28:49.440 --> 00:28:51.190
So do you put the expiration after the

S33-P0615 original line 4919, 00:28:51.200 --> 00:28:53.350
earnings just because the I the IV will

S33-P0616 original line 4927, 00:28:53.360 --> 00:28:57.190
be higher or Yeah.

S33-P0617 original line 4935, 00:28:57.200 --> 00:29:01.269
IV and uh the theta decay also just

S33-P0618 original line 4943, 00:29:01.279 --> 00:29:03.909
doesn't get as affected. But but you're

S33-P0619 original line 4951, 00:29:03.919 --> 00:29:05.350
always not going to gamble on the

S33-P0620 original line 4959, 00:29:05.360 --> 00:29:06.870
earnings even though the expirations are

S33-P0621 original line 4967, 00:29:06.880 --> 00:29:07.870
there. you

S33-P0622 original line 4975, 00:29:07.880 --> 00:29:13.190
just I if I'm I will never go long calls

S33-P0623 original line 4983, 00:29:13.200 --> 00:29:16.070
into earnings. If I do do an actual

S33-P0624 original line 4991, 00:29:16.080 --> 00:29:18.789
earnings trade and hold it through

S33-P0625 original line 4999, 00:29:18.799 --> 00:29:21.750
earnings, it'll be probably a short put.

S33-P0626 original line 5007, 00:29:21.760 --> 00:29:24.830
Yeah. Or I'm holding shares kind of more

S33-P0627 original line 5015, 00:29:24.840 --> 00:29:28.070
longterm. But yeah, I I never hold

S33-P0628 original line 5023, 00:29:28.080 --> 00:29:30.070
through earnings. I'm actually usually

S33-P0629 original line 5031, 00:29:30.080 --> 00:29:33.590
selling uh way before the earnings. So,

S33-P0630 original line 5039, 00:29:33.600 --> 00:29:36.789
even though the the rally here was

S33-P0631 original line 5047, 00:29:36.799 --> 00:29:38.789
pretty big, I'm I probably only caught

S33-P0632 original line 5055, 00:29:38.799 --> 00:29:41.230
half of this.

S33-P0633 original line 5063, 00:29:41.240 --> 00:29:44.310
Um, and that's good enough for me cuz

S33-P0634 original line 5071, 00:29:44.320 --> 00:29:46.310
cuz you know in options you have a lot

S33-P0635 original line 5079, 00:29:46.320 --> 00:29:50.149
of leverage. So, if you just catch like

S33-P0636 original line 5087, 00:29:50.159 --> 00:29:51.830
even in Microsoft, if you catch like a

S33-P0637 original line 5095, 00:29:51.840 --> 00:29:54.630
10point move, that's like 100 200% on

S33-P0638 original line 5103, 00:29:54.640 --> 00:29:57.269
the options trade. Yeah. No, no, it

S33-P0639 original line 5111, 00:29:57.279 --> 00:29:59.190
makes I'm just asking questions for

S33-P0640 original line 5119, 00:29:59.200 --> 00:30:00.470
people that don't know options. I know

S33-P0641 original line 5127, 00:30:00.480 --> 00:30:02.310
options a bit but not I've never traded

S33-P0642 original line 5135, 00:30:02.320 --> 00:30:04.549
them but I'm just thinking but I think

S33-P0643 original line 5143, 00:30:04.559 --> 00:30:05.669
everyone can should be able to more or

S33-P0644 original line 5151, 00:30:05.679 --> 00:30:07.669
less understand it so far but you have

S33-P0645 original line 5159, 00:30:07.679 --> 00:30:10.389
to set a price a price that it will

S33-P0646 original line 5167, 00:30:10.399 --> 00:30:12.230
reach for for your option not to expire

S33-P0647 original line 5175, 00:30:12.240 --> 00:30:14.549
worthless right

S33-P0648 original line 5183, 00:30:14.559 --> 00:30:16.230
sorry can you repeat that sorry uh when

S33-P0649 original line 5191, 00:30:16.240 --> 00:30:18.870
you when you're making a call is there

S33-P0650 original line 5199, 00:30:18.880 --> 00:30:20.389
is there a price it needs to get to

S33-P0651 original line 5207, 00:30:20.399 --> 00:30:21.230
still

S33-P0652 original line 5215, 00:30:21.240 --> 00:30:23.750
or it's just literally taking the trade

S33-P0653 original line 5223, 00:30:23.760 --> 00:30:26.630
with leverage oh good good question it

S33-P0654 original line 5231, 00:30:26.640 --> 00:30:29.510
it doesn't have to get to like your

S33-P0655 original line 5239, 00:30:29.520 --> 00:30:32.389
strike strike price or anything. Um,

S33-P0656 original line 5247, 00:30:32.399 --> 00:30:33.830
most people who trade earnings, they

S33-P0657 original line 5255, 00:30:33.840 --> 00:30:36.870
don't hold it to maturity or expiration.

S33-P0658 original line 5263, 00:30:36.880 --> 00:30:38.710
Uh, usually you're just trading off the

S33-P0659 original line 5271, 00:30:38.720 --> 00:30:41.510
price of the call. So, if the price of

S33-P0660 original line 5279, 00:30:41.520 --> 00:30:44.630
the stock goes up, the price of the call

S33-P0661 original line 5287, 00:30:44.640 --> 00:30:46.149
will

S33-P0662 original line 5295, 00:30:46.159 --> 00:30:50.549
uh likewise go up just in a much larger

S33-P0663 original line 5303, 00:30:50.559 --> 00:30:53.350
percentage because it's uh each one call

S33-P0664 original line 5311, 00:30:53.360 --> 00:30:55.909
option or put option is controlling 100

S33-P0665 original line 5319, 00:30:55.919 --> 00:30:59.310
shares. Yeah. Essentially.

S33-P0666 original line 5327, 00:30:59.320 --> 00:31:02.070
So for Microsoft

S33-P0667 original line 5335, 00:31:02.080 --> 00:31:05.310
uh one call option might be like

S33-P0668 original line 5343, 00:31:05.320 --> 00:31:08.230
$500, right? But yeah, but it's

S33-P0669 original line 5351, 00:31:08.240 --> 00:31:10.149
controlling 100 shares. So if Microsoft

S33-P0670 original line 5359, 00:31:10.159 --> 00:31:13.070
itself goes up

S33-P0671 original line 5367, 00:31:13.080 --> 00:31:15.070
$5,

S33-P0672 original line 5375, 00:31:15.080 --> 00:31:18.389
um your your call option is going to go

S33-P0673 original line 5383, 00:31:18.399 --> 00:31:22.669
up $5, which is $500, and that's 100%

S33-P0674 original line 5391, 00:31:22.679 --> 00:31:25.750
gain. So it's a very basic example. So

S33-P0675 original line 5399, 00:31:25.760 --> 00:31:27.430
does the strike price matter then? Do

S33-P0676 original line 5407, 00:31:27.440 --> 00:31:28.870
you care about the strike price? I'd

S33-P0677 original line 5415, 00:31:28.880 --> 00:31:32.710
just have to put one in as a formality.

S33-P0678 original line 5423, 00:31:32.720 --> 00:31:35.110
The strike price does matter and that

S33-P0679 original line 5431, 00:31:35.120 --> 00:31:37.669
gets into kind of more of the mechanics

S33-P0680 original line 5439, 00:31:37.679 --> 00:31:42.310
and technical details of options. Um

S33-P0681 original line 5447, 00:31:42.320 --> 00:31:44.710
like if you're buying an option where

S33-P0682 original line 5455, 00:31:44.720 --> 00:31:47.310
the strike price is above the current

S33-P0683 original line 5463, 00:31:47.320 --> 00:31:49.830
price, then you're buying an out of the

S33-P0684 original line 5471, 00:31:49.840 --> 00:31:53.509
money Yeah. option. And those generally

S33-P0685 original line 5479, 00:31:53.519 --> 00:31:54.870
have give you the biggest percentage

S33-P0686 original line 5487, 00:31:54.880 --> 00:31:57.470
gains, but they're also the riskiest

S33-P0687 original line 5495, 00:31:57.480 --> 00:32:01.190
because all options that trade out of

S33-P0688 original line 5503, 00:32:01.200 --> 00:32:02.710
money

S33-P0689 original line 5511, 00:32:02.720 --> 00:32:05.750
um during expiration expire worthless

S33-P0690 original line 5519, 00:32:05.760 --> 00:32:10.230
just at zero, right? So if you're buying

S33-P0691 original line 5527, 00:32:10.240 --> 00:32:13.509
an out of the money option, you are

S33-P0692 original line 5535, 00:32:13.519 --> 00:32:17.110
taking a huge bet that

S33-P0693 original line 5543, 00:32:17.120 --> 00:32:19.830
um the the price is going to go up very

S33-P0694 original line 5551, 00:32:19.840 --> 00:32:21.909
soon, right? It doesn't have to get to

S33-P0695 original line 5559, 00:32:21.919 --> 00:32:24.070
that strike price because it as long as

S33-P0696 original line 5567, 00:32:24.080 --> 00:32:27.110
it goes up in in like a quick fashion,

S33-P0697 original line 5575, 00:32:27.120 --> 00:32:28.950
you'll you'll still be able to sell it

S33-P0698 original line 5583, 00:32:28.960 --> 00:32:33.350
for a profit. Yeah. But um uh something

S33-P0699 original line 5591, 00:32:33.360 --> 00:32:37.029
I also track is like options order flows

S33-P0700 original line 5599, 00:32:37.039 --> 00:32:40.070
and options exposures. And so one of the

S33-P0701 original line 5607, 00:32:40.080 --> 00:32:43.590
things you can look at to determine

S33-P0702 original line 5615, 00:32:43.600 --> 00:32:45.909
where institutions and like whales are

S33-P0703 original line 5623, 00:32:45.919 --> 00:32:48.310
positioning themselves is if you see a

S33-P0704 original line 5631, 00:32:48.320 --> 00:32:53.750
huge order like 10, 20, $30 million call

S33-P0705 original line 5639, 00:32:53.760 --> 00:32:55.590
option out of the money call option

S33-P0706 original line 5647, 00:32:55.600 --> 00:32:58.950
order on like a stock like Tesla, you

S33-P0707 original line 5655, 00:32:58.960 --> 00:33:02.149
know, somebody is betting big on that

S33-P0708 original line 5663, 00:33:02.159 --> 00:33:05.909
stock moving up cuz if they're doing it

S33-P0709 original line 5671, 00:33:05.919 --> 00:33:08.549
in out of money, they they need that

S33-P0710 original line 5679, 00:33:08.559 --> 00:33:11.149
stock to go up. So,

S33-P0711 original line 5687, 00:33:11.159 --> 00:33:13.830
um that's usually like when you see big

S33-P0712 original line 5695, 00:33:13.840 --> 00:33:15.909
orders like that,

S33-P0713 original line 5703, 00:33:15.919 --> 00:33:18.310
um you'll see some you'll see some

S33-P0714 original line 5711, 00:33:18.320 --> 00:33:21.269
movement in the stock. Yeah, I know. No,

S33-P0715 original line 5719, 00:33:21.279 --> 00:33:22.870
that that all makes sense to us. So,

S33-P0716 original line 5727, 00:33:22.880 --> 00:33:24.470
you're kind of looking for what the

S33-P0717 original line 5735, 00:33:24.480 --> 00:33:25.990
hedge funds are doing to follow them.

S33-P0718 original line 5743, 00:33:26.000 --> 00:33:28.230
Think that someone's on to a good idea.

S33-P0719 original line 5751, 00:33:28.240 --> 00:33:30.070
They know why. I don't know why, but I

S33-P0720 original line 5759, 00:33:30.080 --> 00:33:31.990
know that they know something, so I

S33-P0721 original line 5767, 00:33:32.000 --> 00:33:36.029
might follow that. Yeah, exactly.

S33-P0722 original line 5775, 00:33:36.039 --> 00:33:39.190
Um, so yeah, that that's an example of

S33-P0723 original line 5783, 00:33:39.200 --> 00:33:42.430
the of the pre-earnings trades.

S33-P0724 original line 5791, 00:33:42.440 --> 00:33:43.950
Um,

S33-P0725 original line 5799, 00:33:43.960 --> 00:33:49.070
and I'd say one of the things

S33-P0726 original line 5807, 00:33:49.080 --> 00:33:52.630
that has been important in my m maturity

S33-P0727 original line 5815, 00:33:52.640 --> 00:33:55.750
or my growth in trading is sort of

S33-P0728 original line 5823, 00:33:55.760 --> 00:33:57.470
recognizing

S33-P0729 original line 5831, 00:33:57.480 --> 00:34:00.509
that different stocks have different

S33-P0730 original line 5839, 00:34:00.519 --> 00:34:02.950
personalities, right? Not every stock

S33-P0731 original line 5847, 00:34:02.960 --> 00:34:05.710
will have a pre-earnings rally like

S33-P0732 original line 5855, 00:34:05.720 --> 00:34:08.069
personality. A lot of them don't care at

S33-P0733 original line 5863, 00:34:08.079 --> 00:34:10.550
all actually. And and some stocks will

S33-P0734 original line 5871, 00:34:10.560 --> 00:34:13.109
also change over time like Microsoft

S33-P0735 original line 5879, 00:34:13.119 --> 00:34:15.629
doesn't really do it anymore.

S33-P0736 original line 5887, 00:34:15.639 --> 00:34:18.869
Um but

S33-P0737 original line 5895, 00:34:18.879 --> 00:34:20.990
uh a part of my research

S33-P0738 original line 5903, 00:34:21.000 --> 00:34:24.310
is finding stocks that have started to

S33-P0739 original line 5911, 00:34:24.320 --> 00:34:26.790
show that they're going to start doing

S33-P0740 original line 5919, 00:34:26.800 --> 00:34:29.710
it. And

S33-P0741 original line 5927, 00:34:29.720 --> 00:34:32.909
um one of the one of them has been

S33-P0742 original line 5935, 00:34:32.919 --> 00:34:36.750
Palunteer. Uh I'll kind of show

S33-P0743 original line 5943, 00:34:36.760 --> 00:34:41.270
Palunteer. So for a while before

S33-P0744 original line 5951, 00:34:41.280 --> 00:34:43.270
Palunteer didn't really like exhibit

S33-P0745 original line 5959, 00:34:43.280 --> 00:34:47.550
that like if you look at even January

S33-P0746 original line 5967, 00:34:47.560 --> 00:34:49.990
2024, it kind of just went sideways into

S33-P0747 original line 5975, 00:34:50.000 --> 00:34:52.470
earnings and then it popped up, right?

S33-P0748 original line 5983, 00:34:52.480 --> 00:34:54.470
And what the more of these you get, the

S33-P0749 original line 5991, 00:34:54.480 --> 00:34:56.710
more s positive surprises you get, the

S33-P0750 original line 5999, 00:34:56.720 --> 00:34:59.829
more traders start to remember that, oh

S33-P0751 original line 6007, 00:34:59.839 --> 00:35:01.430
yeah, this is a strong stock or this

S33-P0752 original line 6015, 00:35:01.440 --> 00:35:04.550
stock is making money, right? They're

S33-P0753 original line 6023, 00:35:04.560 --> 00:35:06.630
constantly beating earnings. Same thing

S33-P0754 original line 6031, 00:35:06.640 --> 00:35:08.190
here. It kind of popped

S33-P0755 original line 6039, 00:35:08.200 --> 00:35:11.430
up. And so the last three earnings, we

S33-P0756 original line 6047, 00:35:11.440 --> 00:35:13.870
saw the pre-earnings rally trade

S33-P0757 original line 6055, 00:35:13.880 --> 00:35:16.190
actually be pretty

S33-P0758 original line 6063, 00:35:16.200 --> 00:35:20.550
good. And so this this past earnings,

S33-P0759 original line 6071, 00:35:20.560 --> 00:35:23.109
that's what I did. I I traded Palunteer

S33-P0760 original line 6079, 00:35:23.119 --> 00:35:26.069
a lot long prior to earnings and it was

S33-P0761 original line 6087, 00:35:26.079 --> 00:35:28.950
a pretty good pretty good run despite

S33-P0762 original line 6095, 00:35:28.960 --> 00:35:33.589
the tariff stocks. Yeah, that's was that

S33-P0763 original line 6103, 00:35:33.599 --> 00:35:35.829
that last earnings period before this

S33-P0764 original line 6111, 00:35:35.839 --> 00:35:39.589
one uh I don't know if it was like Q Q4.

S33-P0765 original line 6119, 00:35:39.599 --> 00:35:41.270
Yeah. Was that a Was that a gap up on

S33-P0766 original line 6127, 00:35:41.280 --> 00:35:43.990
earnings? It was. was that ah so

S33-P0767 original line 6135, 00:35:44.000 --> 00:35:45.510
whenever you see that gap on earnings I

S33-P0768 original line 6143, 00:35:45.520 --> 00:35:47.349
can imagine the psychology of every

S33-P0769 original line 6151, 00:35:47.359 --> 00:35:48.630
single person on earth who knows about

S33-P0770 original line 6159, 00:35:48.640 --> 00:35:50.150
Pelaton is like I'm going to get in

S33-P0771 original line 6167, 00:35:50.160 --> 00:35:52.270
early for the next

S33-P0772 original line 6175, 00:35:52.280 --> 00:35:54.870
one but you're going to and cuz you got

S33-P0773 original line 6183, 00:35:54.880 --> 00:35:56.950
a really really nice run you got a

S33-P0774 original line 6191, 00:35:56.960 --> 00:35:58.870
really nice run at earnings in the next

S33-P0775 original line 6199, 00:35:58.880 --> 00:36:00.470
quarter as a result of the previous

S33-P0776 original line 6207, 00:36:00.480 --> 00:36:04.550
quarter having that gap would you say

S33-P0777 original line 6215, 00:36:04.560 --> 00:36:08.310
uh sorry can you repeat say the previous

S33-P0778 original line 6223, 00:36:08.320 --> 00:36:10.710
quarter's earnings had a very very nice

S33-P0779 original line 6231, 00:36:10.720 --> 00:36:12.630
gabble because the earnings must have

S33-P0780 original line 6239, 00:36:12.640 --> 00:36:15.670
really good for the market. Do you think

S33-P0781 original line 6247, 00:36:15.680 --> 00:36:18.710
does that create the next rally in the

S33-P0782 original line 6255, 00:36:18.720 --> 00:36:20.790
run-up to the next earnings because

S33-P0783 original line 6263, 00:36:20.800 --> 00:36:23.349
people want to get in on the next move

S33-P0784 original line 6271, 00:36:23.359 --> 00:36:25.190
early?

S33-P0785 original line 6279, 00:36:25.200 --> 00:36:28.069
Yeah, 100%. I I think that's exactly

S33-P0786 original line 6287, 00:36:28.079 --> 00:36:30.109
what's causing these pre-earnings

S33-P0787 original line 6295, 00:36:30.119 --> 00:36:32.470
rallies is when when you have a company

S33-P0788 original line 6303, 00:36:32.480 --> 00:36:34.550
that's constantly making profits, that's

S33-P0789 original line 6311, 00:36:34.560 --> 00:36:35.870
beating

S33-P0790 original line 6319, 00:36:35.880 --> 00:36:39.109
expectations, especially after a dip,

S33-P0791 original line 6327, 00:36:39.119 --> 00:36:42.870
right? I I went from 125 down to down

S33-P0792 original line 6335, 00:36:42.880 --> 00:36:44.470
50%.

S33-P0793 original line 6343, 00:36:44.480 --> 00:36:46.109
Right.

S33-P0794 original line 6351, 00:36:46.119 --> 00:36:49.190
So, and and what I'll say is like

S33-P0795 original line 6359, 00:36:49.200 --> 00:36:52.230
another reason I focus on earnings is so

S33-P0796 original line 6367, 00:36:52.240 --> 00:36:53.390
much is

S33-P0797 original line 6375, 00:36:53.400 --> 00:36:56.710
because earnings season has this it's

S33-P0798 original line 6383, 00:36:56.720 --> 00:36:59.829
almost like this magical effect on the

S33-P0799 original line 6391, 00:36:59.839 --> 00:37:02.470
markets where it doesn't really matter

S33-P0800 original line 6399, 00:37:02.480 --> 00:37:04.550
what's happening in the world. Just

S33-P0801 original line 6407, 00:37:04.560 --> 00:37:07.910
geopolitical tensions, war, tariffs, all

S33-P0802 original line 6415, 00:37:07.920 --> 00:37:11.349
that. people, the market just tends to

S33-P0803 original line 6423, 00:37:11.359 --> 00:37:13.270
ignore everything and focus on these

S33-P0804 original line 6431, 00:37:13.280 --> 00:37:15.829
earnings. Um, it's like this little

S33-P0805 original line 6439, 00:37:15.839 --> 00:37:18.069
capsule in the market and and that's the

S33-P0806 original line 6447, 00:37:18.079 --> 00:37:21.230
environment I love to trade in.

S33-P0807 original line 6455, 00:37:21.240 --> 00:37:22.750
Um,

S33-P0808 original line 6463, 00:37:22.760 --> 00:37:26.230
and back in February, I actually started

S33-P0809 original line 6471, 00:37:26.240 --> 00:37:28.550
getting short the market because all the

S33-P0810 original line 6479, 00:37:28.560 --> 00:37:30.790
tariff talks were coming. Trump just got

S33-P0811 original line 6487, 00:37:30.800 --> 00:37:34.390
in inaugurated and inflation data was

S33-P0812 original line 6495, 00:37:34.400 --> 00:37:37.910
bad. rates seem to not be, you know,

S33-P0813 original line 6503, 00:37:37.920 --> 00:37:42.310
lowering. So, but despite all that, the

S33-P0814 original line 6511, 00:37:42.320 --> 00:37:44.230
market continued to rally halfway

S33-P0815 original line 6519, 00:37:44.240 --> 00:37:47.990
through February and it didn't really

S33-P0816 original line 6527, 00:37:48.000 --> 00:37:49.790
like if you look at

S33-P0817 original line 6535, 00:37:49.800 --> 00:37:51.710
um the

S33-P0818 original line 6543, 00:37:51.720 --> 00:37:55.750
S&P, it didn't really drop until after

S33-P0819 original line 6551, 00:37:55.760 --> 00:37:58.870
the final MAG 7 reported earnings, which

S33-P0820 original line 6559, 00:37:58.880 --> 00:38:03.390
was Nvidia. Okay.

S33-P0821 original line 6567, 00:38:03.400 --> 00:38:05.950
Um, if you look

S33-P0822 original line 6575, 00:38:05.960 --> 00:38:11.630
at Nvidia, which I think was yeah, like

S33-P0823 original line 6583, 00:38:11.640 --> 00:38:13.790
March March

S33-P0824 original line 6591, 00:38:13.800 --> 00:38:17.069
27th, March 26th,

S33-P0825 original line 6599, 00:38:17.079 --> 00:38:20.390
um, up until then, like the market

S33-P0826 original line 6607, 00:38:20.400 --> 00:38:22.270
didn't really

S33-P0827 original line 6615, 00:38:22.280 --> 00:38:27.190
like drop, but after Nvidia reported

S33-P0828 original line 6623, 00:38:27.200 --> 00:38:29.030
earnings, um, that's when like

S33-P0829 original line 6631, 00:38:29.040 --> 00:38:31.750
everything started tanking And I really

S33-P0830 original line 6639, 00:38:31.760 --> 00:38:34.790
do attribute that to the fact that

S33-P0831 original line 6647, 00:38:34.800 --> 00:38:36.829
earnings just has this

S33-P0832 original line 6655, 00:38:36.839 --> 00:38:40.150
magic. Um, yeah, I see what you're

S33-P0833 original line 6663, 00:38:40.160 --> 00:38:45.829
saying. Yeah. And yeah, I these gaps I'm

S33-P0834 original line 6671, 00:38:45.839 --> 00:38:48.630
always missing. So I got out obviously

S33-P0835 original line 6679, 00:38:48.640 --> 00:38:51.230
before this gap. I missed

S33-P0836 original line 6687, 00:38:51.240 --> 00:38:53.670
it. But at the same time, it can gap

S33-P0837 original line 6695, 00:38:53.680 --> 00:38:56.990
down, right? Yeah. And

S33-P0838 original line 6703, 00:38:57.000 --> 00:38:59.829
so, yeah, this is one of my favorite

S33-P0839 original line 6711, 00:38:59.839 --> 00:39:02.069
strategies cuz it's it's much more

S33-P0840 original line 6719, 00:39:02.079 --> 00:39:05.270
predictable to get this run than to try

S33-P0841 original line 6727, 00:39:05.280 --> 00:39:07.270
to catch something after earnings. Yeah.

S33-P0842 original line 6735, 00:39:07.280 --> 00:39:09.109
And this is just a single leg option,

S33-P0843 original line 6743, 00:39:09.119 --> 00:39:11.270
right? You're not doing any complex

S33-P0844 original line 6751, 00:39:11.280 --> 00:39:15.270
option. It's just a single leg call.

S33-P0845 original line 6759, 00:39:15.280 --> 00:39:18.630
Yeah. Uh it can be calls. It could be

S33-P0846 original line 6767, 00:39:18.640 --> 00:39:21.349
just long shares. uh they have been

S33-P0847 original line 6775, 00:39:21.359 --> 00:39:25.910
trading the leverage ETF shares a lot

S33-P0848 original line 6783, 00:39:25.920 --> 00:39:30.950
more. Um or it could be short puts. So

S33-P0849 original line 6791, 00:39:30.960 --> 00:39:34.550
like like the idea is for me is just in

S33-P0850 original line 6799, 00:39:34.560 --> 00:39:36.390
this period I'm going long in some way

S33-P0851 original line 6807, 00:39:36.400 --> 00:39:37.470
or

S33-P0852 original line 6815, 00:39:37.480 --> 00:39:41.670
fashion, right? Uh is there an ETF every

S33-P0853 original line 6823, 00:39:41.680 --> 00:39:43.430
stock though? Is there an ETF of PLTR

S33-P0854 original line 6831, 00:39:43.440 --> 00:39:45.910
and Tesla and they have ETFs that double

S33-P0855 original line 6839, 00:39:45.920 --> 00:39:49.510
and triple the the volatility for you?

S33-P0856 original line 6847, 00:39:49.520 --> 00:39:52.069
Yeah. Yeah. So, Palunteer has two

S33-P0857 original line 6855, 00:39:52.079 --> 00:39:56.790
leveraged long uh it's PLTU.

S33-P0858 original line 6863, 00:39:56.800 --> 00:39:59.150
Um and then

S33-P0859 original line 6871, 00:39:59.160 --> 00:40:00.910
PTIR.

S33-P0860 original line 6879, 00:40:00.920 --> 00:40:05.270
PTIR is a larger dollar value stock, but

S33-P0861 original line 6887, 00:40:05.280 --> 00:40:07.109
it does have earning uh it has uh

S33-P0862 original line 6895, 00:40:07.119 --> 00:40:10.310
options. PLTU doesn't have options that

S33-P0863 original line 6903, 00:40:10.320 --> 00:40:13.430
trade for it. So,

S33-P0864 original line 6911, 00:40:13.440 --> 00:40:16.870
um I like trading PTIR more cuz if I'm

S33-P0865 original line 6919, 00:40:16.880 --> 00:40:18.470
going long the shares, I can at least

S33-P0866 original line 6927, 00:40:18.480 --> 00:40:21.190
sell calls against it if I'm wrong and

S33-P0867 original line 6935, 00:40:21.200 --> 00:40:24.910
CO has a premium on that. But,

S33-P0868 original line 6943, 00:40:24.920 --> 00:40:27.990
um yeah, so

S33-P0869 original line 6951, 00:40:28.000 --> 00:40:30.230
uh a lot of my trading is that. And the

S33-P0870 original line 6959, 00:40:30.240 --> 00:40:32.710
second strategy is is one that I

S33-P0871 original line 6967, 00:40:32.720 --> 00:40:34.790
actually haven't really employed lately.

S33-P0872 original line 6975, 00:40:34.800 --> 00:40:35.870
It's

S33-P0873 original line 6983, 00:40:35.880 --> 00:40:39.109
um it's called a squeeze.

S33-P0874 original line 6991, 00:40:39.119 --> 00:40:42.150
Uh, it's an indicator that I believe

S33-P0875 original line 6999, 00:40:42.160 --> 00:40:44.910
John Carter

S33-P0876 original line 7007, 00:40:44.920 --> 00:40:48.470
developed really early on in my trading

S33-P0877 original line 7015, 00:40:48.480 --> 00:40:50.870
career. I think maybe over 10 years ago,

S33-P0878 original line 7023, 00:40:50.880 --> 00:40:53.069
15 years ago.

S33-P0879 original line 7031, 00:40:53.079 --> 00:40:56.230
And the squeeze essentially, it's it's

S33-P0880 original line 7039, 00:40:56.240 --> 00:40:57.790
this indicator

S33-P0881 original line 7047, 00:40:57.800 --> 00:41:01.309
here.

S33-P0882 original line 7055, 00:41:01.319 --> 00:41:04.309
Um, it's essentially, let me see. I

S33-P0883 original line 7063, 00:41:04.319 --> 00:41:06.790
don't think Palenter is a good uh good

S33-P0884 original line 7071, 00:41:06.800 --> 00:41:11.190
one for this.

S33-P0885 original line 7079, 00:41:11.200 --> 00:41:12.910
I

S33-P0886 original line 7087, 00:41:12.920 --> 00:41:17.309
believe hood. Yeah.

S33-P0887 original line 7095, 00:41:17.319 --> 00:41:20.710
So the squeeze indicator is trying to

S33-P0888 original line 7103, 00:41:20.720 --> 00:41:25.710
identify times when the stock is

S33-P0889 original line 7111, 00:41:25.720 --> 00:41:29.349
consolidating and the longer. And so

S33-P0890 original line 7119, 00:41:29.359 --> 00:41:33.270
this these red dots here, they're just

S33-P0891 original line 7127, 00:41:33.280 --> 00:41:34.710
it's indicating like it's in a

S33-P0892 original line 7135, 00:41:34.720 --> 00:41:36.150
consolidating period. It's in like a

S33-P0893 original line 7143, 00:41:36.160 --> 00:41:38.630
tight range. And this is the best time

S33-P0894 original line 7151, 00:41:38.640 --> 00:41:41.190
to get into the stock. Now, the squeeze

S33-P0895 original line 7159, 00:41:41.200 --> 00:41:42.950
indicator doesn't tell you what

S33-P0896 original line 7167, 00:41:42.960 --> 00:41:44.950
direction it's going to go. It could go

S33-P0897 original line 7175, 00:41:44.960 --> 00:41:47.910
it could break out upwards or downwards,

S33-P0898 original line 7183, 00:41:47.920 --> 00:41:53.109
but um I use this a lot to just identify

S33-P0899 original line 7191, 00:41:53.119 --> 00:41:57.030
times that I want to get in. Um, so

S33-P0900 original line 7199, 00:41:57.040 --> 00:41:58.349
Robin

S33-P0901 original line 7207, 00:41:58.359 --> 00:42:01.750
Hood had kind of a textbook trade here

S33-P0902 original line 7215, 00:42:01.760 --> 00:42:03.430
back in December where it just went

S33-P0903 original line 7223, 00:42:03.440 --> 00:42:06.150
sideways and then uh when the squeeze

S33-P0904 original line 7231, 00:42:06.160 --> 00:42:09.309
quote unquote but what he calls fires

S33-P0905 original line 7239, 00:42:09.319 --> 00:42:12.790
um it that's when it breaks out. So when

S33-P0906 original line 7247, 00:42:12.800 --> 00:42:15.589
it turns green that's when it fires and

S33-P0907 original line 7255, 00:42:15.599 --> 00:42:17.589
we had a pretty good move on this one.

S33-P0908 original line 7263, 00:42:17.599 --> 00:42:20.069
And this one was paired with a pre-

S33-P0909 original line 7271, 00:42:20.079 --> 00:42:22.870
earnings rally if you can see. Yeah. Uh

S33-P0910 original line 7279, 00:42:22.880 --> 00:42:25.910
um so it's kind of like a confluence of

S33-P0911 original line 7287, 00:42:25.920 --> 00:42:27.309
two of my favorite

S33-P0912 original line 7295, 00:42:27.319 --> 00:42:29.150
strategies.

S33-P0913 original line 7303, 00:42:29.160 --> 00:42:32.550
Um and yeah, so Robin Hood is actually

S33-P0914 original line 7311, 00:42:32.560 --> 00:42:35.589
another big candidate lately for these

S33-P0915 original line 7319, 00:42:35.599 --> 00:42:37.910
pre-owning jies. Would you say that is

S33-P0916 original line 7327, 00:42:37.920 --> 00:42:40.710
there much difference you find with uh

S33-P0917 original line 7335, 00:42:40.720 --> 00:42:43.349
trading these pre-minence uh rallies on

S33-P0918 original line 7343, 00:42:43.359 --> 00:42:45.510
options compared to to stock other than

S33-P0919 original line 7351, 00:42:45.520 --> 00:42:47.670
the leverage that you get? Cuz are you

S33-P0920 original line 7359, 00:42:47.680 --> 00:42:49.550
scoring more on the IV

S33-P0921 original line 7367, 00:42:49.560 --> 00:42:52.230
and is it more beneficial? to make more

S33-P0922 original line 7375, 00:42:52.240 --> 00:42:54.790
options than stocks or

S33-P0923 original line 7383, 00:42:54.800 --> 00:42:57.030
Yeah, it's it's hit and miss. I would

S33-P0924 original line 7391, 00:42:57.040 --> 00:43:01.910
say it's it's generally easier to hold

S33-P0925 original line 7399, 00:43:01.920 --> 00:43:03.550
on

S33-P0926 original line 7407, 00:43:03.560 --> 00:43:07.109
uh if you're holding shares. Uh with

S33-P0927 original line 7415, 00:43:07.119 --> 00:43:09.349
call options, it's a lot less forgiving.

S33-P0928 original line 7423, 00:43:09.359 --> 00:43:12.390
So, for example, like if you had, let's

S33-P0929 original line 7431, 00:43:12.400 --> 00:43:15.510
zoom into this. If you kind of saw this

S33-P0930 original line 7439, 00:43:15.520 --> 00:43:18.790
happening, this it broke out, right? If

S33-P0931 original line 7447, 00:43:18.800 --> 00:43:21.670
you bought calls right here like kind of

S33-P0932 original line 7455, 00:43:21.680 --> 00:43:25.030
at a local top and it kind of drops your

S33-P0933 original line 7463, 00:43:25.040 --> 00:43:27.349
option value in this one drop will

S33-P0934 original line 7471, 00:43:27.359 --> 00:43:30.510
probably decrease about

S33-P0935 original line 7479, 00:43:30.520 --> 00:43:32.790
50%. Right? Even though on the chart

S33-P0936 original line 7487, 00:43:32.800 --> 00:43:36.150
itself it doesn't look like much. So you

S33-P0937 original line 7495, 00:43:36.160 --> 00:43:38.309
need to be able to stomach those types

S33-P0938 original line 7503, 00:43:38.319 --> 00:43:40.870
of things because it it can come back in

S33-P0939 original line 7511, 00:43:40.880 --> 00:43:43.589
a big way. Right? even this day like it

S33-P0940 original line 7519, 00:43:43.599 --> 00:43:45.910
gapped down and you probably would have

S33-P0941 original line 7527, 00:43:45.920 --> 00:43:49.510
seen a big 50 60% drop in your so if

S33-P0942 original line 7535, 00:43:49.520 --> 00:43:53.109
you're holding shares it's a lot easier

S33-P0943 original line 7543, 00:43:53.119 --> 00:43:56.309
to just hold on for a larger portion of

S33-P0944 original line 7551, 00:43:56.319 --> 00:43:59.349
the of the rally but the there's no

S33-P0945 original line 7559, 00:43:59.359 --> 00:44:02.069
advantage other than managing emotions

S33-P0946 original line 7567, 00:44:02.079 --> 00:44:04.230
uh stocks versus options you don't gain

S33-P0947 original line 7575, 00:44:04.240 --> 00:44:05.910
from another way because I know options

S33-P0948 original line 7583, 00:44:05.920 --> 00:44:09.190
has the different criterias

S33-P0949 original line 7591, 00:44:09.200 --> 00:44:12.069
yeah options it's just more leverage

S33-P0950 original line 7599, 00:44:12.079 --> 00:44:14.150
That's mostly it in terms of profit and

S33-P0951 original line 7607, 00:44:14.160 --> 00:44:16.309
loss.

S33-P0952 original line 7615, 00:44:16.319 --> 00:44:19.349
Um,

S33-P0953 original line 7623, 00:44:19.359 --> 00:44:22.550
yeah, I'd say so. Oh, okay. So, for a

S33-P0954 original line 7631, 00:44:22.560 --> 00:44:24.870
lot of uh equities traders, they can

S33-P0955 original line 7639, 00:44:24.880 --> 00:44:26.309
you've you've certainly put me on to

S33-P0956 original line 7647, 00:44:26.319 --> 00:44:28.230
something because I've been um I've been

S33-P0957 original line 7655, 00:44:28.240 --> 00:44:30.790
trading a lot of uh like that that whole

S33-P0958 original line 7663, 00:44:30.800 --> 00:44:33.349
dip that whole dip when Trump did the

S33-P0959 original line 7671, 00:44:33.359 --> 00:44:35.470
tariffs and the trade war

S33-P0960 original line 7679, 00:44:35.480 --> 00:44:37.829
like I didn't think America was going to

S33-P0961 original line 7687, 00:44:37.839 --> 00:44:39.670
end forever. So, bought the dip on most

S33-P0962 original line 7695, 00:44:39.680 --> 00:44:42.390
of the Magnificent 7 and on the on the

S33-P0963 original line 7703, 00:44:42.400 --> 00:44:44.790
news of the this is this won't go out

S33-P0964 original line 7711, 00:44:44.800 --> 00:44:45.990
the same day, but on the news that

S33-P0965 original line 7719, 00:44:46.000 --> 00:44:47.589
China's just made the trade deal with

S33-P0966 original line 7727, 00:44:47.599 --> 00:44:50.470
the USA and everything up massive like

S33-P0967 original line 7735, 00:44:50.480 --> 00:44:52.550
that that that made me a nice amount of

S33-P0968 original line 7743, 00:44:52.560 --> 00:44:55.750
money today. And I I started doing that,

S33-P0969 original line 7751, 00:44:55.760 --> 00:44:57.190
but I was thinking, okay, well, Trump's

S33-P0970 original line 7759, 00:44:57.200 --> 00:44:58.950
not going to destroy the economy and

S33-P0971 original line 7767, 00:44:58.960 --> 00:45:00.710
then rebuild it again. Do you know what

S33-P0972 original line 7775, 00:45:00.720 --> 00:45:02.309
I mean? That's not going to happen more

S33-P0973 original line 7783, 00:45:02.319 --> 00:45:03.990
than once. That's a one-off thing in the

S33-P0974 original line 7791, 00:45:04.000 --> 00:45:06.550
in the lifetime. So thinking how else do

S33-P0975 original line 7799, 00:45:06.560 --> 00:45:08.230
I continue to trade these kinds of

S33-P0976 original line 7807, 00:45:08.240 --> 00:45:10.230
stocks because I work a lot like for you

S33-P0977 original line 7815, 00:45:10.240 --> 00:45:11.670
you I don't know how much free time you

S33-P0978 original line 7823, 00:45:11.680 --> 00:45:12.430
have

S33-P0979 original line 7831, 00:45:12.440 --> 00:45:15.510
but this style of trading will not take

S33-P0980 original line 7839, 00:45:15.520 --> 00:45:18.309
10 hours every day. Right.

S33-P0981 original line 7847, 00:45:18.319 --> 00:45:21.510
Or does it or does it? I don't know. Um

S33-P0982 original line 7855, 00:45:21.520 --> 00:45:24.150
well this is like one of the uh

S33-P0983 original line 7863, 00:45:24.160 --> 00:45:26.470
strategies I do for swing trading. But I

S33-P0984 original line 7871, 00:45:26.480 --> 00:45:30.230
have I do day trade. Yeah. Um, and if I

S33-P0985 original line 7879, 00:45:30.240 --> 00:45:33.190
day trade, it's usually with options and

S33-P0986 original line 7887, 00:45:33.200 --> 00:45:36.950
it's usually with like

S33-P0987 original line 7895, 00:45:36.960 --> 00:45:43.270
uh S&P or or futures um on the on the E-

S33-P0988 original line 7903, 00:45:43.280 --> 00:45:45.510
mini stock uh E- mini taker or

S33-P0989 original line 7911, 00:45:45.520 --> 00:45:48.710
something. Yeah. Oh, that's like a

S33-P0990 original line 7919, 00:45:48.720 --> 00:45:50.390
that's a completely different strategy

S33-P0991 original line 7927, 00:45:50.400 --> 00:45:53.990
though, but which Yeah. So, which is

S33-P0992 original line 7935, 00:45:54.000 --> 00:45:58.870
making it the most money from from the

S33-P0993 original line 7943, 00:45:58.880 --> 00:46:00.630
Bannon's place, the futures, the

S33-P0994 original line 7951, 00:46:00.640 --> 00:46:02.870
auctions?

S33-P0995 original line 7959, 00:46:02.880 --> 00:46:04.750
It's

S33-P0996 original line 7967, 00:46:04.760 --> 00:46:07.349
definitely options make the majority of

S33-P0997 original line 7975, 00:46:07.359 --> 00:46:10.390
my profits and I'd say the swing trades

S33-P0998 original line 7983, 00:46:10.400 --> 00:46:12.910
make majority of my

S33-P0999 original line 7991, 00:46:12.920 --> 00:46:15.230
profits.

S33-P1000 original line 7999, 00:46:15.240 --> 00:46:17.750
Um, for for a good good amount of time,

S33-P1001 original line 8007, 00:46:17.760 --> 00:46:20.230
I was only trading actually pre-earnings

S33-P1002 original line 8015, 00:46:20.240 --> 00:46:22.230
rallies. Like I would trade the pre-

S33-P1003 original line 8023, 00:46:22.240 --> 00:46:24.470
earnings and then once our earing season

S33-P1004 original line 8031, 00:46:24.480 --> 00:46:26.710
happens, I'm out and I would just stop

S33-P1005 original line 8039, 00:46:26.720 --> 00:46:29.430
trading for two months. Uh this was when

S33-P1006 original line 8047, 00:46:29.440 --> 00:46:32.550
I was in full-time and and then when you

S33-P1007 original line 8055, 00:46:32.560 --> 00:46:34.390
know about a month prior to earnings,

S33-P1008 original line 8063, 00:46:34.400 --> 00:46:36.950
I'd come back and kind of assess, okay,

S33-P1009 original line 8071, 00:46:36.960 --> 00:46:39.190
what do I want to buy? Ride that rally

S33-P1010 original line 8079, 00:46:39.200 --> 00:46:42.630
and then and then get out again. So

S33-P1011 original line 8087, 00:46:42.640 --> 00:46:44.950
yeah, day trading is something I I

S33-P1012 original line 8095, 00:46:44.960 --> 00:46:46.950
actually only started doing in like

S33-P1013 original line 8103, 00:46:46.960 --> 00:46:51.150
maybe the last eight months. Wow.

S33-P1014 original line 8111, 00:46:51.160 --> 00:46:54.470
Um, and I'm still sort of getting

S33-P1015 original line 8119, 00:46:54.480 --> 00:46:59.790
getting a hang of it honestly because

S33-P1016 original line 8127, 00:46:59.800 --> 00:47:04.470
I I was trading like zero DTE. Yeah. A

S33-P1017 original line 8135, 00:47:04.480 --> 00:47:07.470
soft, right? And

S33-P1018 original line 8143, 00:47:07.480 --> 00:47:10.069
um it was always just like one contract

S33-P1019 original line 8151, 00:47:10.079 --> 00:47:13.750
at a time though. But um I realized

S33-P1020 original line 8159, 00:47:13.760 --> 00:47:16.069
after like kind of journaling and

S33-P1021 original line 8167, 00:47:16.079 --> 00:47:19.190
tracking like which uh like what's

S33-P1022 original line 8175, 00:47:19.200 --> 00:47:21.750
working and what isn't zero DTS were not

S33-P1023 original line 8183, 00:47:21.760 --> 00:47:24.710
working for me. But if I if I traded

S33-P1024 original line 8191, 00:47:24.720 --> 00:47:27.470
even just like three or five data

S33-P1025 original line 8199, 00:47:27.480 --> 00:47:31.589
expiration options, my success rate went

S33-P1026 original line 8207, 00:47:31.599 --> 00:47:34.870
up a lot um just because I had more time

S33-P1027 original line 8215, 00:47:34.880 --> 00:47:37.670
and the the value of the option didn't

S33-P1028 original line 8223, 00:47:37.680 --> 00:47:40.910
didn't go to zero by the end of the day.

S33-P1029 original line 8231, 00:47:40.920 --> 00:47:42.950
So that's what I started doing. I

S33-P1030 original line 8239, 00:47:42.960 --> 00:47:44.589
started trading uh

S33-P1031 original line 8247, 00:47:44.599 --> 00:47:48.829
spy calls and puts um three or five days

S33-P1032 original line 8255, 00:47:48.839 --> 00:47:52.309
out and that's been working a lot more.

S33-P1033 original line 8263, 00:47:52.319 --> 00:47:53.829
And

S33-P1034 original line 8271, 00:47:53.839 --> 00:47:56.190
uh for day trading I use a lot of

S33-P1035 original line 8279, 00:47:56.200 --> 00:48:00.630
options exposures like gamma exposure,

S33-P1036 original line 8287, 00:48:00.640 --> 00:48:02.910
delta exposures.

S33-P1037 original line 8295, 00:48:02.920 --> 00:48:06.030
Um and yeah, that that's it's pretty

S33-P1038 original line 8303, 00:48:06.040 --> 00:48:09.190
technical with those. Yeah. No. So, I'm

S33-P1039 original line 8311, 00:48:09.200 --> 00:48:11.190
I'm telling you now after meeting you

S33-P1040 original line 8319, 00:48:11.200 --> 00:48:13.030
now, it's it's come at a weird time.

S33-P1041 original line 8327, 00:48:13.040 --> 00:48:14.150
It's like it's funny how these things

S33-P1042 original line 8335, 00:48:14.160 --> 00:48:15.270
happen. I'm definitely going to look

S33-P1043 original line 8343, 00:48:15.280 --> 00:48:17.109
into earnings plays more. I work I work

S33-P1044 original line 8351, 00:48:17.119 --> 00:48:18.309
all the time, so it's like I don't

S33-P1045 original line 8359, 00:48:18.319 --> 00:48:20.150
really have much time, but definitely

S33-P1046 original line 8367, 00:48:20.160 --> 00:48:21.670
those earnings plays I'm going to start

S33-P1047 original line 8375, 00:48:21.680 --> 00:48:22.950
looking into a little bit more. So,

S33-P1048 original line 8383, 00:48:22.960 --> 00:48:24.230
thank you for sharing that. You you've

S33-P1049 original line 8391, 00:48:24.240 --> 00:48:26.390
helped one person for for sure, but I'm

S33-P1050 original line 8399, 00:48:26.400 --> 00:48:28.390
sure you've helped a lot more. But, uh

S33-P1051 original line 8407, 00:48:28.400 --> 00:48:30.150
final question for me is like how how

S33-P1052 original line 8415, 00:48:30.160 --> 00:48:31.589
did you get into this? How did you learn

S33-P1053 original line 8423, 00:48:31.599 --> 00:48:33.670
this? And and how could someone new

S33-P1054 original line 8431, 00:48:33.680 --> 00:48:36.630
start learning this?

S33-P1055 original line 8439, 00:48:36.640 --> 00:48:39.190
Um, you mean options or? Yeah, like when

S33-P1056 original line 8447, 00:48:39.200 --> 00:48:40.870
you talk about the gamma related

S33-P1057 original line 8455, 00:48:40.880 --> 00:48:42.790
strategies, I mean it sounds crazy to me

S33-P1058 original line 8463, 00:48:42.800 --> 00:48:43.910
and I don't know many people who are

S33-P1059 original line 8471, 00:48:43.920 --> 00:48:45.349
teaching it. So, is that from your

S33-P1060 original line 8479, 00:48:45.359 --> 00:48:47.990
background in finance or

S33-P1061 original line 8487, 00:48:48.000 --> 00:48:51.349
Yeah, it's um it's something I it took

S33-P1062 original line 8495, 00:48:51.359 --> 00:48:55.549
me a while to to learn options and like

S33-P1063 original line 8503, 00:48:55.559 --> 00:48:58.190
options it's a beautiful

S33-P1064 original line 8511, 00:48:58.200 --> 00:49:01.109
product. Uh the the world of options you

S33-P1065 original line 8519, 00:49:01.119 --> 00:49:03.670
can get as deep as you want um and as

S33-P1066 original line 8527, 00:49:03.680 --> 00:49:06.790
like academic as you want. Um, but at

S33-P1067 original line 8535, 00:49:06.800 --> 00:49:08.870
the same time, if you don't, you're you

S33-P1068 original line 8543, 00:49:08.880 --> 00:49:11.829
can still like do some damage trading.

S33-P1069 original line 8551, 00:49:11.839 --> 00:49:14.790
But I've initially learned from John

S33-P1070 original line 8559, 00:49:14.800 --> 00:49:17.030
Carter, actually, the the guy who

S33-P1071 original line 8567, 00:49:17.040 --> 00:49:20.390
created this squeeze indicator. This was

S33-P1072 original line 8575, 00:49:20.400 --> 00:49:23.270
over 10 years ago. And

S33-P1073 original line 8583, 00:49:23.280 --> 00:49:26.549
um I I paid for the service to just be

S33-P1074 original line 8591, 00:49:26.559 --> 00:49:28.470
in his trading room and I would just

S33-P1075 original line 8599, 00:49:28.480 --> 00:49:31.910
watch him um do his thing. And I

S33-P1076 original line 8607, 00:49:31.920 --> 00:49:34.150
remember like he had this epic trade

S33-P1077 original line 8615, 00:49:34.160 --> 00:49:36.549
which I think is on YouTube. He had a

S33-P1078 original line 8623, 00:49:36.559 --> 00:49:41.670
huge like milliondoll day trade on Tesla

S33-P1079 original line 8631, 00:49:41.680 --> 00:49:43.150
um just with

S33-P1080 original line 8639, 00:49:43.160 --> 00:49:46.790
options and he was just he just showed

S33-P1081 original line 8647, 00:49:46.800 --> 00:49:48.630
like how to use the squeeze indicator

S33-P1082 original line 8655, 00:49:48.640 --> 00:49:52.309
and relation and like all that. So I

S33-P1083 original line 8663, 00:49:52.319 --> 00:49:54.670
learned a lot of options trading from

S33-P1084 original line 8671, 00:49:54.680 --> 00:49:56.750
him.

S33-P1085 original line 8679, 00:49:56.760 --> 00:50:00.470
I learned a lot from Tasty Trade. Uh,

S33-P1086 original line 8687, 00:50:00.480 --> 00:50:04.470
Tasty Chicken is a big think tank in the

S33-P1087 original line 8695, 00:50:04.480 --> 00:50:06.309
options trading world. They do a lot of

S33-P1088 original line 8703, 00:50:06.319 --> 00:50:07.829
research

S33-P1089 original line 8711, 00:50:07.839 --> 00:50:10.549
uh that they give for free just on their

S33-P1090 original line 8719, 00:50:10.559 --> 00:50:13.349
website and YouTube. So, I highly

S33-P1091 original line 8727, 00:50:13.359 --> 00:50:16.430
recommend that.

S33-P1092 original line 8735, 00:50:16.440 --> 00:50:21.230
Um, I will say that most options

S33-P1093 original line 8743, 00:50:21.240 --> 00:50:24.390
traders like me, they get into it just

S33-P1094 original line 8751, 00:50:24.400 --> 00:50:28.390
wanting to buy calls and puts because

S33-P1095 original line 8759, 00:50:28.400 --> 00:50:31.430
you see those 100,000% gains and you're

S33-P1096 original line 8767, 00:50:31.440 --> 00:50:34.390
like, I want that, right? You're you're

S33-P1097 original line 8775, 00:50:34.400 --> 00:50:37.109
kind of like getting this penny stock

S33-P1098 original line 8783, 00:50:37.119 --> 00:50:40.030
sort of behavior for a stock like

S33-P1099 original line 8791, 00:50:40.040 --> 00:50:42.750
Microsoft, right?

S33-P1100 original line 8799, 00:50:42.760 --> 00:50:45.829
But um it's really important to

S33-P1101 original line 8807, 00:50:45.839 --> 00:50:47.990
recognize like Tasty Trade calls it

S33-P1102 original line 8815, 00:50:48.000 --> 00:50:50.870
probability of profit. And when you're

S33-P1103 original line 8823, 00:50:50.880 --> 00:50:55.030
buying a call, the probability of that

S33-P1104 original line 8831, 00:50:55.040 --> 00:50:58.309
option being profitable is not it's not

S33-P1105 original line 8839, 00:50:58.319 --> 00:51:01.109
50/50 like it is with buying shares.

S33-P1106 original line 8847, 00:51:01.119 --> 00:51:03.990
Like it's it's not just price goes up in

S33-P1107 original line 8855, 00:51:04.000 --> 00:51:06.630
the stock, your option goes up because

S33-P1108 original line 8863, 00:51:06.640 --> 00:51:08.630
if it doesn't go up fast enough, your

S33-P1109 original line 8871, 00:51:08.640 --> 00:51:11.589
option actually just loses value. So,

S33-P1110 original line 8879, 00:51:11.599 --> 00:51:14.630
the only way to earn money trading long

S33-P1111 original line 8887, 00:51:14.640 --> 00:51:16.870
calls is you need the stock to go up and

S33-P1112 original line 8895, 00:51:16.880 --> 00:51:17.950
go up

S33-P1113 original line 8903, 00:51:17.960 --> 00:51:21.109
quick. That ends up giving you like a

S33-P1114 original line 8911, 00:51:21.119 --> 00:51:23.990
probability of profit of like 30%. if

S33-P1115 original line 8919, 00:51:24.000 --> 00:51:26.710
you're going long calls. But if you're

S33-P1116 original line 8927, 00:51:26.720 --> 00:51:29.430
going short, if you're going to like

S33-P1117 original line 8935, 00:51:29.440 --> 00:51:30.670
short

S33-P1118 original line 8943, 00:51:30.680 --> 00:51:35.430
options, the probability of those

S33-P1119 original line 8951, 00:51:35.440 --> 00:51:38.069
uh being profitable is much higher

S33-P1120 original line 8959, 00:51:38.079 --> 00:51:39.910
because you can make money if the stock

S33-P1121 original line 8967, 00:51:39.920 --> 00:51:41.829
goes sideways

S33-P1122 original line 8975, 00:51:41.839 --> 00:51:45.430
um goes up or even goes slightly against

S33-P1123 original line 8983, 00:51:45.440 --> 00:51:47.750
you. You can still like as long as it

S33-P1124 original line 8991, 00:51:47.760 --> 00:51:50.309
stays above your above or below your

S33-P1125 original line 8999, 00:51:50.319 --> 00:51:53.750
strike price, you can still make money.

S33-P1126 original line 9007, 00:51:53.760 --> 00:51:55.309
uh you just kind of cap

S33-P1127 original line 9015, 00:51:55.319 --> 00:51:58.270
your uh max profit

S33-P1128 original line 9023, 00:51:58.280 --> 00:52:02.309
potential. But uh even though I I I said

S33-P1129 original line 9031, 00:52:02.319 --> 00:52:07.549
I I go long calls, um a lot of my

S33-P1130 original line 9039, 00:52:07.559 --> 00:52:10.470
profits just daytoday it's it's just

S33-P1131 original line 9047, 00:52:10.480 --> 00:52:13.190
short options. I'm I'm shorting to

S33-P1132 original line 9055, 00:52:13.200 --> 00:52:17.030
collect some premium. And when I looked

S33-P1133 original line 9063, 00:52:17.040 --> 00:52:18.349
back at my

S33-P1134 original line 9071, 00:52:18.359 --> 00:52:21.349
2024 performance,

S33-P1135 original line 9079, 00:52:21.359 --> 00:52:24.470
um, a huge I I'd say like 40% of my

S33-P1136 original line 9087, 00:52:24.480 --> 00:52:29.430
profits were just shorting options. Um,

S33-P1137 original line 9095, 00:52:29.440 --> 00:52:33.549
shorting puts or shorting calls. And

S33-P1138 original line 9103, 00:52:33.559 --> 00:52:36.710
that it's it's not really going to like

S33-P1139 original line 9111, 00:52:36.720 --> 00:52:39.750
show, you know, those huge spikes. Yeah.

S33-P1140 original line 9119, 00:52:39.760 --> 00:52:41.349
Yeah, but like when you see me grinding

S33-P1141 original line 9127, 00:52:41.359 --> 00:52:43.270
higher and higher, it's usually cuz I'm

S33-P1142 original line 9135, 00:52:43.280 --> 00:52:45.349
shorting options and that kind of gives

S33-P1143 original line 9143, 00:52:45.359 --> 00:52:49.109
you an edge in in options trading. But

S33-P1144 original line 9151, 00:52:49.119 --> 00:52:51.069
um

S33-P1145 original line 9159, 00:52:51.079 --> 00:52:52.350
the

S33-P1146 original line 9167, 00:52:52.360 --> 00:52:53.630
[Music]

S33-P1147 original line 9175, 00:52:53.640 --> 00:52:56.390
the downside to shorting options is you

S33-P1148 original line 9183, 00:52:56.400 --> 00:52:58.349
need more capital to do

S33-P1149 original line 9191, 00:52:58.359 --> 00:53:01.829
it. Um so it's not like just buying a

S33-P1150 original line 9199, 00:53:01.839 --> 00:53:04.470
$500 call for Microsoft. you actually if

S33-P1151 original line 9207, 00:53:04.480 --> 00:53:06.510
you're shorting a put on Microsoft, you

S33-P1152 original line 9215, 00:53:06.520 --> 00:53:10.510
need like a lot of money, a lot of cash

S33-P1153 original line 9223, 00:53:10.520 --> 00:53:14.390
to like cover the 100 shares, potential

S33-P1154 original line 9231, 00:53:14.400 --> 00:53:17.510
massive loss. Yeah. No, it's it's it's

S33-P1155 original line 9239, 00:53:17.520 --> 00:53:19.829
funny with options. It seems like it's I

S33-P1156 original line 9247, 00:53:19.839 --> 00:53:21.510
suppose you can short for premium to

S33-P1157 original line 9255, 00:53:21.520 --> 00:53:23.190
pick up small amounts of money because

S33-P1158 original line 9263, 00:53:23.200 --> 00:53:25.109
most won't move and then you're looking

S33-P1159 original line 9271, 00:53:25.119 --> 00:53:26.549
for that needle in the haststack where

S33-P1160 original line 9279, 00:53:26.559 --> 00:53:28.670
you think that that's going to be the

S33-P1161 original line 9287, 00:53:28.680 --> 00:53:31.510
one that can go and then that brings

S33-P1162 original line 9295, 00:53:31.520 --> 00:53:34.230
back to him at the end. hims and his um

S33-P1163 original line 9303, 00:53:34.240 --> 00:53:35.950
that was one of those stocks where you

S33-P1164 original line 9311, 00:53:35.960 --> 00:53:38.470
thought it's a matter of days or weeks

S33-P1165 original line 9319, 00:53:38.480 --> 00:53:41.670
before this has a bounce. Um and then

S33-P1166 original line 9327, 00:53:41.680 --> 00:53:43.750
and and I don't know how well you look

S33-P1167 original line 9335, 00:53:43.760 --> 00:53:46.230
into the stocks, but I remember it lost

S33-P1168 original line 9343, 00:53:46.240 --> 00:53:49.270
its partner. It was through a loophole

S33-P1169 original line 9351, 00:53:49.280 --> 00:53:51.349
selling the GLP1

S33-P1170 original line 9359, 00:53:51.359 --> 00:53:53.670
Mhm. drug. Through a loophole, it was

S33-P1171 original line 9367, 00:53:53.680 --> 00:53:55.030
selling the obesity drug, but then the

S33-P1172 original line 9375, 00:53:55.040 --> 00:53:57.430
loophole closed. So obviously it was

S33-P1173 original line 9383, 00:53:57.440 --> 00:53:59.710
going to get a it was a matter of time

S33-P1174 original line 9391, 00:53:59.720 --> 00:54:02.950
until it got another supplier like a we

S33-P1175 original line 9399, 00:54:02.960 --> 00:54:06.230
go or an ompic or a I forgot the names

S33-P1176 original line 9407, 00:54:06.240 --> 00:54:08.030
of the other

S33-P1177 original line 9415, 00:54:08.040 --> 00:54:10.790
ones. So like would that be the type of

S33-P1178 original line 9423, 00:54:10.800 --> 00:54:12.470
stuff you take a call for like waiting

S33-P1179 original line 9431, 00:54:12.480 --> 00:54:13.670
for the news but you don't know when the

S33-P1180 original line 9439, 00:54:13.680 --> 00:54:17.390
news is going to come or

S33-P1181 original line 9447, 00:54:17.400 --> 00:54:23.109
um it it's better to just wait yeah that

S33-P1182 original line 9455, 00:54:23.119 --> 00:54:27.230
that in that scenario

S33-P1183 original line 9463, 00:54:27.240 --> 00:54:30.390
um I would not I would not buy calls

S33-P1184 original line 9471, 00:54:30.400 --> 00:54:34.990
before the news I will sorry

S33-P1185 original line 9479, 00:54:35.000 --> 00:54:37.990
um generally if I'm buying calls I'm

S33-P1186 original line 9487, 00:54:38.000 --> 00:54:42.750
buying into momentum. So, I'm not buying

S33-P1187 original line 9495, 00:54:42.760 --> 00:54:45.309
reversals. Reversals

S33-P1188 original line 9503, 00:54:45.319 --> 00:54:49.190
are really good for selling puts

S33-P1189 original line 9511, 00:54:49.200 --> 00:54:51.390
um or like buying

S33-P1190 original line 9519, 00:54:51.400 --> 00:54:55.190
shares. Uh but you will get killed in

S33-P1191 original line 9527, 00:54:55.200 --> 00:54:57.750
the chop if you're just going long calls

S33-P1192 original line 9535, 00:54:57.760 --> 00:54:59.270
because it's just you you have no idea

S33-P1193 original line 9543, 00:54:59.280 --> 00:55:02.309
when it's going to move, right? Um,

S33-P1194 original line 9551, 00:55:02.319 --> 00:55:06.630
generally it's after like it's already

S33-P1195 original line 9559, 00:55:06.640 --> 00:55:09.109
made some made some move and it broke

S33-P1196 original line 9567, 00:55:09.119 --> 00:55:12.069
out above some local high that I'll I'll

S33-P1197 original line 9575, 00:55:12.079 --> 00:55:16.670
buy into that momentum. Um,

S33-P1198 original line 9583, 00:55:16.680 --> 00:55:20.069
so yeah. Yeah, that's pretty much it.

S33-P1199 original line 9591, 00:55:20.079 --> 00:55:21.670
No, it's been a it's been a really

S33-P1200 original line 9599, 00:55:21.680 --> 00:55:24.750
interesting uh chat with you. I

S33-P1201 original line 9607, 00:55:24.760 --> 00:55:27.510
think I think we haven't really had any

S33-P1202 original line 9615, 00:55:27.520 --> 00:55:29.030
options trade as honor or people

S33-P1203 original line 9623, 00:55:29.040 --> 00:55:30.710
explaining options related strategy. So,

S33-P1204 original line 9631, 00:55:30.720 --> 00:55:32.309
I think this will have its own little

S33-P1205 original line 9639, 00:55:32.319 --> 00:55:34.510
place on being very valuable to the

S33-P1206 original line 9647, 00:55:34.520 --> 00:55:36.950
community. So, uh I app I really

S33-P1207 original line 9655, 00:55:36.960 --> 00:55:38.390
appreciate your time. Thought I thought

S33-P1208 original line 9663, 00:55:38.400 --> 00:55:41.109
your insights were fantastic. Um any

S33-P1209 original line 9671, 00:55:41.119 --> 00:55:44.430
final words to close out?

S33-P1210 original line 9679, 00:55:44.440 --> 00:55:47.670
Um yeah, no, I I really appreciate uh

S33-P1211 original line 9687, 00:55:47.680 --> 00:55:50.230
this opportunity. Uh, I I love what

S33-P1212 original line 9695, 00:55:50.240 --> 00:55:53.829
they're doing at Kinfo and actually I

S33-P1213 original line 9703, 00:55:53.839 --> 00:55:56.470
I've watched many of the interviews of

S33-P1214 original line 9711, 00:55:56.480 --> 00:55:59.030
the previous traders and um it's really

S33-P1215 original line 9719, 00:55:59.040 --> 00:56:02.390
interesting to like see what other

S33-P1216 original line 9727, 00:56:02.400 --> 00:56:05.349
people trade and how they trade and like

S33-P1217 original line 9735, 00:56:05.359 --> 00:56:07.270
there's so many different ways to like

S33-P1218 original line 9743, 00:56:07.280 --> 00:56:10.309
profit in this market. And um I do want

S33-P1219 original line 9751, 00:56:10.319 --> 00:56:13.190
to shout out like uh one of one of my

S33-P1220 original line 9759, 00:56:13.200 --> 00:56:15.349
favorite interviews you had recently was

S33-P1221 original line 9767, 00:56:15.359 --> 00:56:19.030
Rob Booker. Yeah. Um, and I resonated

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with him a lot because he was talking

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about how like if you're looking at a

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successful trader, look at how they lose

S33-P1225 original line 9799, 00:56:25.079 --> 00:56:29.270
money. Um, yeah. Not not how they make

S33-P1226 original line 9807, 00:56:29.280 --> 00:56:31.230
their big wins, but like how do they

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lose because the biggest part about it

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like longevity in trading is to not give

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it all back, right? And that's pretty

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much the story of my journey.

S33-P1231 original line 9847, 00:56:44.160 --> 00:56:46.789
just uh just don't give it all back. No,

S33-P1232 original line 9855, 00:56:46.799 --> 00:56:48.950
but uh Rob Robo is a really really cool

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guy and really really great guy to have

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on. Yeah, but the the best thing that I

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like about these and I think what makes

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this different to the what I see on I

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say these numbers on the podcast are

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going up as well. So more people are

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starting to watch. But I think the

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reason it has an appeal is because you

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know for a fact that the person saying

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what he's trading and how much money

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he's making is real. So you're gonna add

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you can judge for yourself and give

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weight to how much do you want to

S33-P1246 original line 9967, 00:57:14.799 --> 00:57:17.349
believe this guy's advice based on how

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much you find success in his track

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record and how stable his track record

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is. So someone's been trading for 5

S33-P1250 original line 9999, 00:57:22.799 --> 00:57:24.230
years and they've made x amount of

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money. You know that that's not it's not

S33-P1252 original line 10015, 00:57:27.200 --> 00:57:29.750
luck because over five years they've

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successfully made that much money. But

S33-P1254 original line 10031, 00:57:31.200 --> 00:57:33.030
if so, if if you've got a trader who's

S33-P1255 original line 10039, 00:57:33.040 --> 00:57:33.710
made

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$200,000, but they've only done it in

S33-P1257 original line 10055, 00:57:35.680 --> 00:57:37.910
six months, you're like, "Oh, well, and

S33-P1258 original line 10063, 00:57:37.920 --> 00:57:38.950
it's just like that, you're like, "Oh,

S33-P1259 original line 10071, 00:57:38.960 --> 00:57:40.549
well, this this guy could very quickly

S33-P1260 original line 10079, 00:57:40.559 --> 00:57:42.950
lose that money." So, look, he's

S33-P1261 original line 10087, 00:57:42.960 --> 00:57:45.510
verified, so he's worth speaking to, but

S33-P1262 original line 10095, 00:57:45.520 --> 00:57:48.549
but the the the person listening can

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make the judgment on how much weight

S33-P1264 original line 10111, 00:57:51.040 --> 00:57:52.309
they want to give to that person's

S33-P1265 original line 10119, 00:57:52.319 --> 00:57:54.549
advice based on the profit chart and and

S33-P1266 original line 10127, 00:57:54.559 --> 00:57:55.829
how long they did it for and how long

S33-P1267 original line 10135, 00:57:55.839 --> 00:57:57.510
they've been profitable for. So, it's

S33-P1268 original line 10143, 00:57:57.520 --> 00:58:00.870
it's really good. Yeah, it's great. I I

S33-P1269 original line 10151, 00:58:00.880 --> 00:58:03.230
don't know anyone else kind of doing

S33-P1270 original line 10159, 00:58:03.240 --> 00:58:06.069
this in the market like in the in the

S33-P1271 original line 10167, 00:58:06.079 --> 00:58:10.150
journaling realm. Um so really cool. No,

S33-P1272 original line 10175, 00:58:10.160 --> 00:58:11.589
thank you. Really really appreciate it.

S33-P1273 original line 10183, 00:58:11.599 --> 00:58:12.789
Really really appreciate your time.

S33-P1274 original line 10191, 00:58:12.799 --> 00:58:15.589
Thank you for being transparent and uh

S33-P1275 original line 10199, 00:58:15.599 --> 00:58:17.910
I'll see you again. All right. Thank

S33-P1276 original line 10207, 00:58:17.920 --> 00:58:20.920
you.

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This SIMPLIFIES Algorithmic Trading

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===================================

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📅 Uploaded: 2024-11-05

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⏱️ Duration: 0:36:23

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👁️ Views: 4,088 (Rank #1 of 1)

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💬 Comments: 11

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📼 Playlist Progress: 1:12:46 of 0:36:23 (200.0%)

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--------------------------------------------------

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👉 About Naoufel's 'Mining for gold' course: https://university.tradingdominion.com/p/mining-for-gold

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👉 Check Naoufel's trading performance on kinfo: https://kinfo.com/portfolio/12154/performance

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👉 Get 1-month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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In this episode of Undiscovered Traders podcast, Jonk87 sits down with Naoufel, an algorithmic trader who’s pulled in $240K in verified profits. Originally from Morocco and now based in Canada, Naoufel opens up about his path from the basics to overcoming emotional challenges through algorithmic strategies. He shares the advantages of algo trading, key aspects of his risk management approach, insights into his strategies, and tools he recommends for those looking to dive into algo trading.

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Chapters:

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00:00 – Introduction

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03:00 – Naoufel's Charts and Numbers

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11:45 – Risk of Ruin Calculator

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21:09 – Strategy Revealed

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25:05 – Using Kinfo's Features to Refine Strategy

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33:09 – Algo Trading x Retail

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35:30 – Final Advice for Aspiring Traders

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Key Learnings:

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- Automating strategies can help reduce emotional biases and improves consistency.

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- Algorithmic Trading Tools: Using tools like StrategyQuantX enables traders without coding backgrounds to create and refine trading systems.

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- The Value of Robust Testing: Simulations and incubation periods ensure that strategies can withstand various market conditions before trading live.

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- Algorithmic Trading Isn’t Just Coding: Success comes from understanding market behaviors and testing strategies, not just writing code.

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- Diversification of Systems: Running multiple algorithms spreads risk and enhances overall portfolio stability.

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- Trading is a Long Game: Building wealth through trading is a marathon, not a sprint. Patience and consistency are crucial for lasting success.

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#TradingSuccess #AlgorithmicTrading #AlgoTrading #BreakoutStrategy #TurnAroundTuesdayStrategy #RiskManagement #UndiscoveredTraders #Trader #stockmarket #FinancialMarkets #Investing #KinfoPodcast #stocks $DRUG $QQQ $SPY

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🔗 Follow kinfo: https://x.com/Kinfo

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🔗 Follow Naoufel: https://x.com/ultrainstint18

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🔗 Follow Stephen Johnson: https://x.com/Jonk87

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Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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welcome to undiscovered Traders today we're talking to nowel even if you're 40% right most of the time you will still make money H he is up near the quarter of a million more can I have your algorithm so can I give you like $10 a month for it or $15 a month or it it's not it's not it's not for welcome to undiscovered Traders the podcast that focuses on the charts stats and Edge of the latest six figure verified traders who have not been interviewed before today we're talking to nowel originally from is it Morocco yes but now in Montreal Canada H he is up near the quarter of a million Mark we're going to

S34-P0039 original line 48, characters 1739:3586
go through his his profit curve some stats and an insight into his uh algorithmic style which is really interesting we don't get too many but first how are you how's the life of a full-time Trader in Canada I'm good thanks for asking stepen and first of all thanks for having me um yeah I'm in Canada as you know um have a winter pretty rough so we're gonna start there so I'm gonna present myself um I was born and raised in cablanca city in Morocco and at the age of 13 my family immigrated in Canada so I've been trading algorithmically since 2013 fulltime so my journey started with a deep passion with financial Market but I

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quickly realized that emotion often Cloud the decision Mak making that's when I turned to algorithmic trading where I could build system to automate my strategy removing the emotional component and make data driven decision uh also another way why I choose algorithmic trading is because like many other um I've tried chat room follow Trader account you know subscribe to trading signal and as you know most of them didn't deliver and uh I eventually came across a website that audit Financial gurus and it asked them to provide financial statement and or tax document to provide to prove the trade with their real money and the only one who could prove their track record will were algorithmic Trader

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uh from then on my algo Journey algo Journey algo Journey started um so yeah I I trade mainly breakout um I don't know if you're familiar between between breakout or me reversion breakout algo tend to have low winning rate so you have around 40% success ratees so that may sound counterintuitive but you can be profitable even if you have 40% success rate the key here is to have um nice win to loss ratio so if you risk 100 you need to make 200 even if you you're 40% right most of the time you will still make money let's have a quick look at your uh profit chart just to see how you're doing I'm curious

S34-P0042 original line 48, characters 7468:9080
how you how you literally started to learn this this entire thing but I I absolutely understand the the 40% win rate when you're picking up 2 to1 3 to one as a as a former short seller I used to have um or still a short seller I used to Bost an 80% win rate but then I would lose all of the money that I'd gained in a single day so on the one that went wrong so I we we know we we we're all familiar with the with the the risk reward Concepts but yeah if you want to just share screen we'll bring up uh we'll take a look at your k for nice yeah

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so is this your this is your algorithmic account so um this is my year-to dat profit I can remove um you know the the date this is one account so I have multiple account but for the sake of transparency I've connected this one uh so as you see the tracking start in late 2018 start 2019 in now you can see my Equity chart is a little bit uh Wiggly you know um not like the the short seller it's pretty smooth after that you see a big loss um you know it's a different style uh but you know with break out like like I said you have 4 it's a real TR it's a stable stable

S34-P0044 original line 48, characters 10860:12480
yeah stable but you know a little bit Wiggly because when you have a 40% success rate you all always have you know a losing stct so you may have 15 20 trade in a row that are losing so that's why you see this you know small drop down after that you see a big win so this is the reality behind it um so um with gamef what I like with it so you can identify the symbol that you are profitable so me as an analo Trader I always want to see uh which uh you know asset is performing more than the other one and um you know here you can see this is my year

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today profit but only stocks because in this account I I also trade future option with the help of algo signal algo signal algo signal so um here I'm showing only stocks because the future Ops option side is a little bit more complicated for the sake of simplicity so here you see this is my pnl for this year on this around 73k per for this year and you can see also that with k for is nice you can see your top P symbol you can see here that algo made a lot of money on Nvidia Apple shop TMF it's the 3x ETF treasury bond Netflix Amazon and you can also see my bottom symbol that's I'm

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not performing so well so for me as an algo Trader I always say that it's it's like a soccer match you always want to keep your A+ player on the field and remove the less performing one so it's easier for me to um identify with the help of kinfo and uh yeah so so far we knock on wood it will continue like that with next year um yeah so this is my you can see stocks you can see future but overall this is year to date uh uh profit and this is all the profit for this account on since uh the late 2018 no it's amazing how you uh it's amazing how you've you've linked

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that's kall Pro for those that don't know you can there's a free month trial if anyone wants to take it it's free to anyone who's got an account um but it's amazing how you you use kall and you use the data in line with your algorithm with the analogy of a a football player and I mean that's that's really how you think about it right it's like the these stocks are performing really well with the algorithm I'm going to keep them on I can add more to the position size these ones aren't something wrong I need to look into the data is that how it is mostly exactly 100% you kind of rebalance you know

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you see the good performing one you put more money onto it and the bad one you replace them so so far you can say I have some Messi in the in my team I have mbappe and Ronaldo and that's I have to replace them it's it's it's and you've got some division two and division three players but don't worry they'll they'll get substituted for the next the next Ryon stall but uh like like Al whenever people talk about algorithms everyone gets scared because they sound really complicated so like do you have a background in something similar as a job or like how did you learn this this is a nice question because I really don't

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have any coding background you know I can code some basic stuff you know but um on my journey I found out that there is some is some is some software they are trading system builder software so I only use this software so I use strategic w x so basically it is um a software where you can select a bunch of indicator you know RSI Binger band you name it vwap and so on and after that the software we're going to is going to do you're going to do a lot of simulation you're going to smash all these rules together and it will come up with some trading system so I have multiple system that I

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don't even understand the logic that I trade why I trade them because I have um a robustness process that's filter out all the curve fitted strategy because with this kind of trading system builder most of the time it will yield curit strategy you know so it will look sexy on the back test but when you go live you're going to start losing money because the system is not robust enough to trade with unseen data so that's why it's important to have a workflow that will filter out the curve fit one and will give you only the robust one you know so this this this software so let's say I want to trade an RSI system

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you know basic mean reversion system I will select it in strategic want X it will generate the code so from that I can choose okay I want the code in Easy language you know with trade station or ninja Trader or any other platform it will generate the code for me and from that I will be able to trade it live and connect it directly to my broker account so short answer I don't really have a big background in coding I know some basic stuff uh but with the help of the software I'm able to trade knock and wood successfully so far but I mean it's amazing because I think it's commonly said in trading that

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learning a trade isn't extremely difficult to find an edge most Traders can do within one or two or three years but to manage the emotional aspects of it and not take that ridiculous draw down to not lose patience one day is the is the big problem that happens I mean I know strategies with 80% win rates I know strategies that with 70% win rates I know that the point to get in and out I've back tested them against samples of thousands of data so but I don't really have the time to sit in front of the market all day so but I like the research so for someone like me or anyone else who I've

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described this strategy is Kind of Perfect is it or would you say oh well um to be honest the difficult part is trading a strategy with 40% success rate okay I think as a human we always want to trade something about 70 80% and you know Let It Go but what I found out based on my test thing most of this High win strategy will tend to fail in live environment and you have a higher chance that your strategy will perform if you have sub 40% win rate I know it's counterintuitive but this is what I found out so the the when you have like 10 loss 10 loss a losing streak 15 loss losing

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street it's hard psychological but if you have tested your system you have do you did the calculation you know I don't know if you're famous with the risk of room you know probability tell me so me so me so basically um it is a way of sizing your algo so for instance if you size 2% of your max account and your win rate is about uh you know 30% and your win loss ratio is about I don't know of 1.5 your risk of run is pretty high I mean we can do it here it's pretty easy uh um I can I can show it here this yeah you can go here and see risk of

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room it's it's really uh so let's say you have a um you know payoff of about 1.5 you risk 100 right but you make uh 150 your accuracy says 30% and you risk 3% of your account see risk through 99% so maybe you can work on the accuracy maybe 5% you are still nearly guaranteed of losing all your money so you need to size your account accordingly so if you have 40% and you risk 100 to make 200 and let's say you risk 0.5% drop to zero right so with this information you know even if you have five 10 15 loss in a row you are pretty much uh you know not guaranteed but you

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won't uh you won't be rued yeah so um so this is the idea behind you need to size accordingly with your algo of course you will have some algorithmic that will not perform they will fail in life but you need to replace them with new one so this is the tough part of the job you always need to monitor your strategy and you know this one okay it's having a dry down is it normal compared to the back test if it exceed the dry down of the back test I'm going to turn it off I'm going to replace it with a new one so yeah basically so how much of your time goes into watching

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the charts and how much of your time goes into just managing the algorithmic data and results results results um good question well with strategic want X for other similar trading system builder you can build some workflow so if you have a server you know dedicated server that's run 247 you what I do is I'm always running my system data minor so I will choose to run it maybe on the NASDAQ maybe on under stock Nvidia whatever and it will yeld me some strategy the goal for me is to have a lot lot lot of good player on the bench that are ready to play you know uh sometime it take a lot of time you

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know sometime you can mine for nearly a week and you won't find something that is tradable and you need to look for another symbol another stock another Market and so on but uh the biggest chunk of my time go into monitoring so at the end of the day I always look at how my algo are performing you know is it you know the L that I have today is it normal is it something that is comparable to the back des and so on so for instance on this account I trade the the one that is tracked by kfo I trade around probably 80 to 990 Al so if you monitor it on any Alo can

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take a little bit of time but you know you have to do it to to continue to perform yeah I mean I guess it's I guess what you're doing is you're defining an edge and then you're refining The Edge so you define in and then it's just refin refin refin refin oops I took that out and me results have got worse I need to probably put that back in it's it's a constantly refining The Edge like like you constantly train a football player to make them the best fre kick taker best penalty taker best right winger same thing yeah yeah sure sure definitively especially when you have Dre down you know we are all human

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when you have dreadon you start doubting yourself maybe you start losing it it it so when you monitor you track you gain the confidence back so you say okay this is a dad like the other one so I will just need to continue to execute my trade like I did in the past and I came back from this TR down ni can I can I have your algorithm do can I give you like $10 a month for it or $15 a month or is it it's not for sale is there a price for these things I'm happy to work with your algorithm I don't M I'm happy I trust you well yeah I have a

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course with my partner uh where we sell algo algo trading course and now we're thinking about leing some algo so the idea you know this is what I like with gameo you know you have to have skin in the game you know you if you trade this you have to show me that you treade it live with your real money so if you pay you know a monthly subscription at least you want to know that the developer the trader traded which his is running so yeah you know it's a it take a lot of time but uh it pay at the end it pay or or I can just use your algorithm and I'll I'll

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put some money in but well we we'll say we'll say I'm just joking maybe I can find a way to pay but uh do you want to break down we've talked a lot about I just want to ask uh how how did you get into this was it specifically because you saw the most profitable Traders verified in the algorithmic Traders is that how you got into it yeah like I've said know I've tried many style you know many chat room Twitter account trading signal subscription and it didn't work out you know and uh when I I I came across a website that tried to bust you know all the the the yeah the guy was

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a machine man like you if you don't give your tax document your financial statement your broker statement you are considered a fraud direct and the only one that were able to provide their tax document the finance statement where uh you know the algo Trader so from that on this is was this was a good way you know a good you know way to to to identify which strategy best so this this is why I started algorithmic trading on my end no very but did you read any books on it to get started because I just people hear the word algorithm and get scared yeah I I did read some book but the thing is in

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algo trading world people are secretive with their algo you know they don't want to share it because if they share it many people will trade it and you know they will lose the edge they will need to try a new one the the the information that I found is basically that that served me is finding a good robustness system because the the first obstacle was okay you need to learn how to Cod but it take a lot of time but the solution that you found is okay there is some trading system builder that can find algo for you so this was a good solution from that on okay this system builder will generate a lot

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of curvefit system so most of them will not perform life but some of them will perform so what's what's the feature the function on this algo that's make them still perform in live environment so that's was the challenge so you have to do a lot of research a lot of back testing a lot of what we call incubation you know I don't know if you're familiar with the term incubation I know the way but not in trading okay so incubation so basically when you build a system you know you have the in Sample data out of sample data and from that on if you think that this algo is robust enough you're going to put

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it on Sim basically so for the next three month four months you're going to see how it perform if it perform well you know especially when there is a volatile Market you know if it's a bull market everyone makes money you know but you want a data set where there is a lot of chop you know a lot of volatility if your algo survive this kind of price action it you have a high likelihood that it will continue to perform in the past so you have to have a lot of Argo Inc incubation and this is where a strategic b x is useful because you have a lot of algo that you can incubate and

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in the end at the end you will select the one that you like the one that seem to be robust the one that have a good uh risk adjusted return a good sharp ratio good profit factor and so on very interesting I think without uh without further Ado we'll take a look at your strategy if if you're kind enough to be one of the few uh algo traders that can give an insight into their own system yeah yeah sure uh I'm going to share a simple strategy that you can build with um strategic want X it is the turnaround Tuesday strategy uh like I've said you know this strategy you know it's only a you

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can click you don't need to code so the the logic behind it we have to be Monday the day have to be Monday so you can see here day of week equals Monday just check I think you're not on I'm seeing K4 still I oh oh maybe uh let me share again okay so this is the rule of the strategy we call it turn turnaround strategy so you can see that the day of the week is Monday the close has to be lower than the open so you you are expecting a red day on a Monday and you hold the strategy for one day only only only so uh let me show you here yeah

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you you only hold for one day here you can see it has been tested on Apple see yeah you have nice profit Factor you have a nice winning rate for instance this one is about 58% and you can generate the code based on the platform of your choice trade station strategy Point s uh sorry uh Ninja Trader Ninja Trader Ninja Trader meta Trader and so on um so this is the other side other side other side of the strategy give a moment here so here you see um exit after one bar you see one bar only yeah and uh you know simple stop loss of 5% so usually the robust strategy are simple you don't

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have many rule so if you have two rule close a red close on a Monday and you hold for one bar and this strategy has been tested well over many years you can see it's still profitable so for the an analytical people that will say oh look you have a low annual return here you know 1.9% you 1.9% you 1.9% you see this is just a test you know if you tested for instance on U proo upro is a two time spy ETF you know I'm going to show you the result they are pretty interesting here so this is the result on uo uo like I've said is a 2X the Spy ETF you know

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you're trading the market you can see that your yearly average return is about 15% your drw down pretty much uh normal 14% And you have a nice winning rate you know and um you see with this is with the kind of thing that you have to do as an algo Trader you start with an idea even if the result doesn't look as good but you can you know take the same strategy test it on another sample for instance the market because there is some people who say yeah if you trade only Apple you know how do you know that Apple will still be performing in the next year in Nvidia maybe your it's you know

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it's survivorship bias so there's solution for that you can trade the ETF of of of track uh so you can see it's pretty H you know it's tradable for 15% return 14% drw down nice profit Factor nice winning rate uh and like I've showed you with the you know the risk of Ru calculator you can calculate the sizing of this strategy you know how much will risk to avoid a potential room uh the goal is to have multiple strategy like that to avoid the you know if it stop working you can replace it easily with another one and so on also I'm going to share another thing that I like with kinfo uh I don't

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know if a lot of people use it is you can extract all your trade into a CSV file so my goal right now is to reduce the Vol volatility of my H curve because as you as you saw it's a little bit Wiggly because it's it's a breakout algo breakout algo is not as smooth as the main reversion or the short only only only Center Center Center um this is a test that I did maybe it can help somebody else that will watch this video so this is a pretty straightforward graph what I did is I extracted all my trade put it in Excel and I try to simulate if you know I am better

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at reducing my position size if I hit 5% Dr down is it better will it generate more profit will I have a better sharp in the future and so on so here this is the my performance the Blue Line This is the performance from Kimo you see it's a little bit Wiggly you know yeah but what I simulated is okay I try to reduce uh my allocation by allocation by allocation by 50% if I hit a 5% Dr down and um strangely enough you make more profit you know you can see the the green line you make more profit and you have lower dry down and I also try to see if I reduced my

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allocation by 75% when I hit 5% dry down and ironically enough you make more profit you see this is a big big difference between the red line and the blue the blue the blue line and it's you know you you have lower dry down yeah you can have you know the only downside is you have you know a lot of um you know stagnation at some point because you reduce the size so it makes sense you will not make back the profit as easily as before but you reduce the dry down but when it's time to to to break out it catch um the the full amount so this is interesting I was able to

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do it because of kinfo ability to extract trade and uh yeah another thing is when the equity hit a new alltime high the position size uh go 100% so it go back to the initial position initial position initial position sizing um so yeah I hope it helps um somebody who Tred to refine his process no I think it's I think it's an amazing uh it's an amazing way to educate people on a different style of trading because you know the the main Educators with the biggest voices biggest voices biggest voices are more or less saying the same kinds of things of of like day trading without an algorithm you take the trades trade between 9

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and 11 but it's a completely different strategy that you've got that's uh formed in a completely different way so it's it's really good for opening people's eyes um but what what would you say if someone knew wanted to get started tomorrow what what what's the first steps of the day and what's this platform is this platform the one that you just mentioned earlier the x is it X trade yeah strategic want X so first thing first uh the fact that we have king for now you can track the most Prof profitable Trader and try to to to learn from them so this is the first step to do I'm I'm well aware that there is

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better Trader than me and and so on but just by choosing a good educ is by by itself can save you a lot of money so with kinu it's easy to do uh second thing if you want to go the to take the route of algo trading um try to use system builder trading system builder like strategy point x it's uh really a nice software it will save you a lot of time you don't need to learn how to code because learning how to code take a lot of time uh so you may you know abandon the idea because it take a lot of time but with trading system builder it's much easier you have

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a lot of tool that you can use to filter out curit system that uh and also this software there is always new updates you have a nice customer service uh there's a lot there's a big community that will help you out if you have some question and so on um so yeah strategic s can help you but the most important thing is that you you need to have a well defined process to filter out Cur fit system so this is the key so I know a lot of people who TR who trade uh Al go based on trading system builder but are not successful because their process of filtering out is not good so you

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need to choose an educator that's trade the same style as you successfully with their real money so you can reproduce this kind of result because thing is some people will try I'm sure you're aware of that some people will follow really successful educator that have a k for account but they don't have the same result the thing why because maybe and probably he's not using the same position size you know but with algo you are really you know digging into the number so if you're trading trading analo okay what is the allocation what is your average loss what is your max loss what is your max Trad down uh what is your worst Trad down

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in the best have you sized accordingly so if you mimic this kind of statistic in your own trading in your own account you will highly likely have the same performance that than your educator because you're replicating exactly the same Playbook exactly the same allocation and strategy and so on so yeah hope it helps no it makes fall sense uh just to one or two questions to close out but just to say we we'll drop your details we'll drop the platform details in the in the YouTube description if anyone if anyone wants to click or the needed or they want to learn a little bit from your style of your trading do you ever lose sleep

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at night looking at an algorithm and thinking you just one tweak away from a multi-million dollar strategy no not really do you know what I mean on no yeah yeah no no I understand what you mean but no um multi-million dollar you need to use leverage because um you can find a really nice strategy that's work well in life you know environment with real money money money but you know you need to trade some pretty liquid instrument and you need to press heavy size you know you can't buy a Lambo if you you know you allocating only $20,000 you need to press heavy you know you know when you look at the best Trader of

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all time you know Dron killer you know Ed seota you know the Jim Simons so their annual rate you know the best one I think is Jim Simons it was 66% per year and these guys was trading like multi billion so the best of the best made 66% in a year so how much do you need to make a million in one years so you need probably a lot of money I got it it's a long game it's it's the long it's the long it's the long path of millions right it's the long game yeah yeah sure makes sense do you think algorithmic trading will eventually just wipe retail out out out yes yes yes

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because emotion are really hard to control really really hard you know um you know even if you have the discipline it will come a day or two I don't know your dad or mom died you know and you have a position on and you know you don't have the energy mental Clarity to take a trade to close the trade um you know we are human so we are weak by definition because we have emotion but with ago trading you know it's automatic it will buy it will sell there is no discuss discussion around it and you know you can close the computer and go other thing you know that's may be helpful for you but

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I think in the future yeah especially you know with chat GPT right now you can easily code an algo you know and and if you put in the work it's easily doable but you know on my end this is based on my experience I know I'm weak man I know with emotion you can it's easy you know you take the trade you think it's when it's going to go higher it hit your stop mental stuff you know there's a lot of people talking about mental stuff it hit your stuff you you know and you still you will still lose more money that you thought of so that's why I prefer AR good trading it keep

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me in check for my hand for me my emotions are all over the place so it's probably the if I'm ever going to make it in trade in Alo is probably the way forward as well and it's going to wipe retail anyway so you may as well get in now yeah yeah I mean it's it's it's really it will help it will really help and a lot of people especially on the the short side you know I've heard like recently there is the Ticker on Twitter drug drug a lot of people out and because if if you had an algo even if there is a halt and it go beyond at least you will you

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will exit with a loss but if you think oh it's gonna drop back it's tough game good uh now it's been fantastic to talk to Fantastic to hear your experience fantastic to see pretty enlightened by this New Perspective so appreciate your time if you've got any final words I I'll let you have them before we close out well first of all thanks for having me uh it was a pleasure to meet you too stepan and uh yeah for the all the trailer that are watching that are struggling um you know everyone has a different path uh just for my end you know I've blow up a lot of account in the past I even loow

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money and a blow this account but with persistence consistency and having the right Mentor the right patient you can you know you can make it you need to be patient patient will help you a lot in consistency don't don't be optimistic future look future look future look [Music] [Music] [Music] PR thank you

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This Trader Made $175K LONGING TRASH

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📅 Uploaded: 2025-04-24

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⏱️ Duration: 0:47:06

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👁️ Views: 2,499 (Rank #1 of 1)

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💬 Comments: 10

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📼 Playlist Progress: 1:34:12 of 0:47:06 (200.0%)

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👉 Check Below Trading's performance on kinfo: https://kinfo.com/portfolio/32220/performance

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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In this episode of Undiscovered Traders, we sit down with Aiden aka Below Trading, an English trader who made a name for himself by turning obsession into profit. With over $140K in verified gains and a disciplined transition from OTC panics to listed stock breakouts, Aiden shares how his journey began from a random YouTube video and evolved into a relentless study of charts, setups, and edge.

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We explore:

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• The OTC pattern that first clicked and netted him six figures.

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• Surviving a $65K drawdown and regaining consistency.

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• His favorite setup: First Green Day and how he sizes in.

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• The importance of teachers, discipline, and emotional control.

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Aiden’s story offers a raw, relatable look at the mental game behind trading, and it might shift the way you think about risk, discipline, and long-term growth.

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💡 Don’t forget to like, comment, and subscribe for more transparent interviews with real traders.

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CHAPTERS:

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00:00 – Intro: Meet Below Trading

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06:15 – What Finally Clicked: OTC Panic Buys

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09:00 – The $115K Initial Spike and the Big Drawdown

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17:30 – Chart Breakdown: First Green Day on PSTV

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26:00 – FOMO & Mistakes: Losing $1,500 on a Correct Thesis

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33:00 – Trading Obsession & Its Physical Impact

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36:00 – New Pattern Recognition and the SUNE Trade

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40:00 – Roland Wolf’s Influence & Breakout Risk-Reward

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46:30 – Final Thoughts

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🟢 Follow kinfo: https://x.com/Kinfo

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🟢 Follow Bellow Trading: https://www.youtube.com/@BelowTrading/

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🟢 Follow Stephen Johnson: https://x.com/Jonk87

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Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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Fellow Englishman, fellow football fan, fellow can I say the word compatriots. Today we're talking to Aiden, also known as the law of trading. I've never sort of like had a sort of super high in paying job or anything like that. So to start making thousands of dollars a day was like an amazing amazing experience. Whenever I go whatever I'm doing, if I go to the gym or just whatever, my mind's just like charts, charts, charts. And I would say find the right teacher. That's everything. The right teacher is everything. And that can speed up your process uh dramatically. In this trade, I was going to make five figures. So, I just instantly just added here.

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And that's just an absolutely awful ad. Too way too far away from my risk. Then it started to started to started to retrade. Welcome back to Undiscovered Traders, the podcast that focuses on the charts, stats, and edge. Each of the three that we'll be going through today uh from one of the latest six figure traders. Today we're talking to Aiden, also known as Belove Trading if you want to uh follow him on Kinfo. Fellow Englishman, fellow football fan, fellow can I say the word compatri. He's up 177,000. Got to get to some charts and strategy. Long base trader. So, someone to take a note of. How are you, my friend? Very good, Stephen. I'm very

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good indeed. good indeed. good indeed. Uh it's unusual. Um there's not too many of the English around. trade in the American markets. I've seen a couple, but there's not too many. Uh, how on earth did you get into trading? How did you figure out about these the US markets? Why are you not trading the thoughts? Nothing going on there, I don't think. Um, so my introduction, my discovery of trading was really random. Um, I was traveling Thailand and I was kind of just like open to learning like new ways of getting income remotely and uh, trading was not on my radar at all. Um, but whilst I was in Thailand, I remember one evening I

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was lying on my bed in my bungalow watching some YouTube and just this random video of Steven Ducks popped up which was really surprising because I've never watched anything to do with trading before. But I watched this video of him being interviewed and it just went from there really. I never I never kind of I know a lot of people have limiting beliefs about trading when they're getting into it. They think either it's a scam or there's no money to be made, but I was quite fortunate in that I didn't really have those limiting beliefs. I just knew it was a real opportunity and um just kind of went from it from there really. Yeah,

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I know you sound like so many people that I know and so many people that like there so many people like I know there's that like stereotypical like stereotypical like stereotypical uh view of like Americans working in these cubicles. Do you know what I mean? Like these little box bybox cubicles and and it's in England as well like there's so much call center work um in England and people just stuck in solitary jobs, never getting up out of the seats and like everyone's just like the world's much smaller these days. Everyone's like how do we travel the world? How do we see more places? How do you make disposable income? But it's like a pipe

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dream, but for you, you've you've done it, right? Cuz living in Thailand's cheap. cheap. cheap. Yeah. I mean, it's it's always kind of I've I've always had a bit of a pull towards freedom, you know, and I don't think that's that for me isn't only financial, but it can provide certain kind of freedom. So, I was always open to sort of seeing what comes along really. And it just, you know, he just found me at the right time. So you've you've made 177K, you've kept the 177K, which is important because you get a lot of people who come in strong markets and then completely fall apart. So like how just so people have an idea

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like were you just naturally do you have a natural pre predisposition to trading or have you just worked endless hours? Like what was a day what did a day look like for you when you first when you were really studying? just massively, massively overwhelmed when you first start because you you don't have a clue what's going on. Um, but what I can say was there was just this this pull that was sort of unbreakable. I just wanted to get as much information, as much knowledge about what was going on as as as I could. So it was basically wake up, watch any information I could find all day, every day and the evenings as well.

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I just I couldn't stop devouring more as much information as I could get. And to me it was, you know, you you kind of like stop and do something for fun. Like I'll watch a YouTube video for fun or whatever. I didn't really have that because trading was fun. So, I'd be looking for the next video to get my fix. So, it was Yeah. When it first started and I was studying sort of all the time, that's that's what it looked like really. Well, it's just all day, all day, every day and that's it. That's pretty pretty much, man. Yeah. Yeah. And for how long? How long until something something something clicked, saw results? Well,

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for when I from when I began. So I would say on my Kimfo it's it was connected to about six months before I started I was with like some sketchy Do you remember a short trader? Yeah sure traders I had like uh I had I had like $200 in there and that's about six months before I started Mckinfo. So um I think it started to click about a year and a half maybe a year and a halfish into my trading uh when I started to be that I came into the the sort of sort of 2020 2021 bubble and that sped up my learning because there was so much going on you couldn't help but

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begin to recognize patterns. So that's when something began to click and like and like how I like how concise and straight you are with the answers which is I don't know if that's an English thing or not but but like how how did it click? Like were you just watching loads of screen time? Were you watching loads of YouTube videos or was it a mix of everything? everything? everything? Yeah. I I began to understand really one setup that's what clicked. on setup I began because the OTC market was hot and I began and there was a real sort of edge uh using level two on the OTC market. So I began to understand how to

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dip by panics on OTC's and the OTC market was so hot you couldn't help but recognize the reoccurrence of this pattern. So, that's what clicked and that's when it clicked during the 2021 uh early months of 2021 because it was hot in 2020. I think the the end of 2020, but it was still too new for me. I still didn't really get what was going on. I got there was big moves, but I didn't really get how to trade them. And um so was it just a case of screen time and practice? I mean, you must have only been making a trade a day though or a trade every few days. Or were you making

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little trades and then when you saw your pattern pick trades or Yeah, I have to think back now. Yeah, I mean, no, I think I was trading. I don't even I was overtrading when I first started. I was definitely overtrading and then sort of when I began to understand how to dip by, I just knew it was time to size up. So, you know, I was really really cautious when I started. I knew that the market could be dangerous. I knew I could lose that. I kind of felt as though once I understood how to trade, I could size up. I could justify sizing up. But until I could see that, there was there was

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there was it was too risky to do that. So once I could see that right actually I know how to dip by uh uh OTC's then I began to size up and make uh you know some quite decent money quite quickly. Very nice. J up your uh profit chart on Ken for I'm curious just to to to to to to see where you had this uh spike, how you managed it, and how you've managed to to maintain your um maintain your profits because a lot a lot of people um a lot of people and you'll see when you bring up your your chart, but a lot of people make money and just lose it. And

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uh we're up with uh Aiden the low trading uh profit chart here and we're going to take a little bit a little look through it. And what's what's interesting for me is I see that you've had this uh I mean let's let's just talk through it. So talk me through October November. Is that when you had is this when you were dip buying the OTC's? Yeah. So like I say I started here it says May 2020 but I was with some sketchy offshore broker before six months before and then around you can see it start to increase uh towards mid 2020 and then towards the end of 2020 I really began to feel like I

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had a an a good solid understanding of how to dip by OTC. So, uh, I added money to my account and that's kind of, you know, over the next, I don't know, 6 months is that ended up I think up what was the most I was up about 220,000. So, that was a pretty uh pretty exciting time to be honest with you. Those those six months uh yeah, I've never sort of like had a sort of super high paying job or anything like that. So to start making thousands of dollars a day was like an amazing amazing experience. Uh I was quite fortunate as well during this time because you know I think I mentioned

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to you before that I was traveling Thailand and and and um because I was away so often I uh ended up renting out my house and when I'd come back I'd stay with family. So during this time I was uh staying with family and I got to sort of share that whole experience of making money with them. So yeah, it sort of increased the sort of joy of it by about you know a million% really. So um but yeah after that time when the market changed I um can be quite open and honest in saying that I didn't have the experience uh both technically and in terms of emotional management to uh manage such a

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large account or um adapt to a completely different market. So the next year was quite a big draw down ends up giving back about 65k. And uh it was at that point um I was still up you know 160,000 which is obviously good but at that point I kind of realized look if I don't change something this draw down is just going to continue and continue. So, I ended up uh withdrawing um the majority of what I had in my account and just said, "Look, I need to go back to basics um and sort of find a new teacher that can teach me what what I want to learn." And over the next year or

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so, you can see I'm quite flat uh in my profit curve. And that's during this time, I'm kind of trying out different teachers, but nothing I found some great teachers, but nothing really fit with me. I wanted to learn to long listed stocks. Um, and then eventually I landed on uh Roland Wolf uh back in December, so around here, December um 2023. And since then, can't really see it on this chart, but I've beun uh growing my account quite steadily. steadily. I found consistency again. Um up to yeah, I've made about I don't know 14 15k over the last year or so. So consistency has come back and now it's a a case of continuing

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to learn and continuing to size up. Um yeah, I feel like I can justify that now. The teachings I've got from Roland are absolutely uh exceptional and everything all the information I was kind of like searching for is is right there. So yeah, I couldn't be happier. No, it's um I know like we already spoke. I know Roman Well, and I don't know I don't really know anyone else who I don't know anyone who like I know is verified and legit like it's like you know with like the whole reason that we do Kinfo is because you want to see people verified. So it's not someone saying that they can trade and then that they

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don't have any records, right? But I I know Roland as well. Roland's not on Kinfo, but I know I know I've seen his profit le and I've seen his some of his uh I know him well enough to believe him. Do you know what I mean? I haven't seen broker statements, but I know him well enough to know that he's legit cuz I've hung out with him in person a few times, but uh I've seen a lot of success stories from Roland as well. So, you're like another one. another one. another one. Yeah, get in there. Get in there. It's been the catalyst for my change in trading and you know I speak to him

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every day and you know the success I'm having is down to what I'm learning from him. So yeah, no doubt the guy's legit, but um no, it's it's thrown in your in your profits, but um we we'll go into some things, but I mean I think one thing that separates you from a lot of people is the fact that you've stayed in the game cuz like you must have some level of discipline. I'm not sure where you're getting that from because how many people would have just like got p like got pissed off at at losing 70 grand and just started taking big big swings to get all five highs, taking big big long positions

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and losing it all. But um how is your discipline? Like how do you how do you how have you managed to maintain your discipline to not mess this up because well th this this year this year draw down was a lack of discipline. This was a real downward spiral. It it got to the point point point where there was just this realization, if I don't stop, I'm going to lose everything that I've worked for. And that scared me. That really, really scared me. But it took me to I had to get to that point in order to withdraw from my account. and the withdrawing of my account um and switching to a cash account were

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key in uh stabilization and now growth because when I was in this downswing and uh I wasn't with a cash account so I could just trade as much so as much as you know as I possibly wanted to the I would sort of go on these I would start chasing gains and lose my discipline and um yeah that's if there's anybody out there who struggles with discipline and is in that sort of overtrading uh space. There's in my experience there's no worse place to be as a trader. It's really dangerous. And uh the best thing that helped me was switching to a cash account. And I think from my from my perspective, it doesn't matter

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how much how big my account, how big I grow my account, I think I'll always keep it as a cash account just to save me in case I lose my head. It's like a failsafe mechanism. No, but I think that I mean it's tough cuz people will say it's it's so difficult to grow a small account. Don't ever size down too much. But like I remember I I had a really really good run in the markets at the same time as you and my equity curve looked like yours. And when I started losing money, I just I just pulled it all out and bought an apartment with it. And um and if I hadn't have

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bought the apartment, I think I would have lost it all to be honest. I'm quite sure I would have lost it all. And now every time I bought a me pal and it's rented right now, I think, yeah, trade and pay for this. I'm not not that much of a loser. Do you know what I mean? But I mean, and for you, like what have you done? Have you put it in like an interest savings or you've just kept it tucked away or No, I mean, I've I've got um you know, I've got some in my in my bank account and my um you know, I did pay a large amount of tax on that

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and I did live off it for a few years. So, it's not the 160,000 or anything close to that is what it was. Um, but um, you know, I'm still okay. I've still got money in my bank. You know, I've got a nice little cushion and um, the money that I did leave in my uh, Erade account is now, you know, I've built that up. I've grown it about 200%. So, I proved to myself that I can I can do this. um you know the consistency is there like like I said before it's just a case of uh continuing to learn and sizing up when it's appropriate to do so. Ah but for me you've

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shown incredible discipline to recover from this and and obviously these last few years has been switching from OTC to listed and you've successfully made the transition. Um so it's looks like you're ready for your next curve up. I'd love to see some charts. I don't know if you've got any from the old OTC days just for the memory. If not, would love to see what you're doing on the list that say what Roland's been teaching you. Um, I don't have any from the list from the OTC land. That was too long ago. Um, I could probably fish them out if I had a bit more time, but for now I think I'll just go into

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the listed. So, um, right. So, a few trades that I've made recently, this one being the first one. Can you see that chart? Yeah. PSV. Yeah. Yeah. So I play one of my favorite long bias setups is uh first green day. I think Tim Gratani in his DVD trading tickers too calls it reversal long or long reversal. Um so yeah this would be a good example of a of a first green day. So what I'm looking for in a first green day? Well firstly I want to see that the uh I want to see an initial strong uh strong uh runup from the stock. So you can see here PSDV goes from a low of

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24 all the way up to a high of high of high of uh 231. So what's that? Close close to a,000% I think outrageous move. Yeah, 900%. So that's and on on good volume as well, you know, it's done 359 million shares. So, when a stock makes a move like this, um, if I do miss the initial runup, it's certainly going going to be on my radar for a first green day, which is basically a bounce after the stocks had a strong run and it's um had a a decline. So, if we switch to the intraday, let's switch to the five minute minute minute chart. So we can see here that this is the runup.

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Had a push pre-market and then just a huge huge huge run. run. run. So what I'm looking for is this nice uh drop here, a retracement. Now this retracement retracement retracement is, let me see, roughly about 50% off its high. So it's made a nice retracement. What I'm looking for is a bounce. So I'm trying to identify a level where I could think that can bounce from. And we can see here it touches this level like what one two three four five five times and then pre-market has a little push uh suggesting that you know this might be the bounce day. I don't want to chase it here. I want to buy as close to

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this level here as possible as that's going to be my risk which is the the lowest point of the retracement. See here pre-market it touches it nicely. So I'm getting in around here. I think I got in about 129 risking uh 125. So you know 4 cents uh 4 cents risk and just sold. I put these levels on as possible profit targets. So off this level here, off this level here, and off this level here, and just sold into each of them. I think my best sell was I think like 170ish, I think. Can't quite remember. So I missed this uh secondary leg up, but you do have to be uh a little bit cautious

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uh with first green days because they are most of the time backside moves. But nice bit of range there. Uh you know, 126 to 190. Uh so good riskreward only risking four cents for a possible uh what's uh what's uh what's that 65 cents. Yeah. The thing is though like in like when you like hindsight trade right when you look at this chart in hindsight it's the most obvious thing in the world. It's like the most obvious thing in the world. When you look at it in hindsight like clear clear support clear support. But but when when this when it's when you're not hindsight trading like obviously you've traded it live so it's completely different.

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You have the skill to see it in the future. But for everyone looking at this in hindsight, it looks easy. But but it's not because otherwise everyone would do it. But like how are you differentiating? How are you saying are you just accepting that it might be a backside move? Are you accepting that you might get faked out a bunch of times? Cuz end of the day, this is a trash company. It's gone all the way up. You expect that it's already sold off a bunch and it's just going to go all the way back down to 20 cents. So are you just accepting it's going back to 20 cents? You're going to get faked

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out a bunch of times. could be the backside move, but your risk is so tight that you might get a push and the risk rewards worth it. Yeah, I'm accepting that um the probability is on my side for this to bounce because I've happened so many times and then I'm accepting that my that I might I might lose a few cents a share. Like that's that's the game. But the odds for this having a bounce are quite high. Um but it is you know when you're in or around here it is it does play with your emotions. You do think is it going to crack? Is it going to be a lot of slippage? I

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I do come across those kind of uh thoughts and emotions emotions emotions but trading it's everything is like inverse in in trading. So when that feeling of like oh no it's going to go lower generally that's the time to right right time to buy more higher m that's the that's the time when you want to be selling when people are like oh it's going to go to the moon like selling to that strength. Um so yeah kind of w with this is my favorite long buy setup. I've just seen it so many times I'm quite comfortable with it. Yeah. And I've um I've spoke to um had the privilege of interviewing a few um market

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makers, market makers, and I can't remember. I think I I think I I interviewed a guy who worked for Bank of America and he was telling us about some people that work for City Bank. And like these market makers are literally um the job is to make make markets. To make markets, you need liquidity. Um and these guys are just saying exactly the same thing. they're just completely managing and maintaining the levels. So if they drop it down to the support level, they know that they're going to get a bunch of shorts to come in just so they can rip it up. So when the inverse happens, I can't help but think it's market makers

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making markets getting liquidity to Yeah. to um because they can they can make small amounts of money through the individual transactions getting in and out really fast. So, I think when you talk about the inverse, I think it's a lot of a lot of that's um some of the market makers messing around. Yeah. And I'm glad you said that because that would just add to my conviction on this setup. But it's not only this setup, but doing the inverse because when it is down here and it looks like it's going to break support, everything in me is saying like short it or get out because it's going to flush. That's when you should be buying.

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So, um, yeah, trading's tough. It's tough to manage that. It's tough to sort of detach from that and just continue doing everything that your body says you shouldn't be doing. Yeah, I know. And I think it's good that if you're with you're with you're with um if if you're with a broker where you don't have the possibility to short, it stops you from flipping bias as well, which is like almost a good thing because you don't want to get the worst thing in the world is to go long, get stopped out, go short, get stopped out, and then go long again, and then it drops. Yeah. Yeah, it's it's the worst thing in the world,

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but it's it's a it's a it's a nice pattern. It's an interesting pattern. I completely see what you're looking for. Are you looking for any other kind of signs, catalyst? Does it matter if it's got news? Are you looking for a little a pre-market move first to to look for the long move? Are you looking for a double bottom on the end of day? Anything like that? Or is it a feel for there can be I can show you. One often a really good sign that it's going to bounce is when you see uh like a little pre-market pop and a little bit volume lately. I know it's done it here, but the sort of

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Yeah, you can you can be forgiven for taking that really, but um yeah, there is often a sign that it's it has a little move and then it retraces. Um, but if these companies knew what they were doing, more of them would PR for a first screen day right at the right time because it sets up perfect and on occasion you do see the PR just perfectly timed and it just has a massive rip. Um, but yeah, you know, obviously that's out of my hands, but um, yeah, when that happens, it's it's extra sweet. But generally what I'm looking for is just some just some basing action, possibly a pop off the basing, but if

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it's not, just I want to get in as close to that as possible. Really? Yeah. And and do you have the discipline to wait for it? You have the discipline to wait for those levels patiently. Depends on the day. Um most of the time, yes. Uh most of the time, yes. Um but would you like me to give you an example when I didn't? Because that's Yes. Sure. Let's let's go through it. This was, let me think, I don't know if I can remember the ticker now. Yeah. So, this one was an example of when I lost my uh uh uh discipline. So, if we go to the 15minute chart. So, okay, let's start with

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the daily chart. So, this was uh a really really strong run up going from 26 cents all the way to 348. So this again you can see the similarity with PSTV that it this is the kind of strong run up with high volume that I'm looking for in terms of uh looking for a bounce. Now if we go to the 15minut chart. Okay, this maybe in five minute chart would better. Okay, so we can see here again really strong run up high volume. Often what we see is a huge drop off in volume which is important because that kind of sets the stage for a liquidity trap. Right. Yeah. Uh so for anybody who doesn't

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know what that means is that shorts are sizing in uh on these days based on the liquidity on that day. So if there's a huge drop off in volume shorts can't get out big size without pushing the price higher. So that's often you know coincides with the first green day. green day. green day. So this stock here is an example of when I uh just FOMO got me didn't stick to my plan and ended up taking quite a sizable loss even though my thesis was correct. Now so what we can see here is a drop from 350 all the way down to 120 which is a nice uh nice retracement from its highs. pretty clean

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retracement as well given that you know it didn't have a bounce on this day or this day it was just nice clean retracement and then on this day 8th of Jan we can see here it has a pop premarket which tells me this is likely going to be the bounce day day day now I had been really waiting for this and I sort of really wanted to size in big for it and so when I saw this move that's quite a nice move 118 up to 170 huge. I sorry it's a nice it's a nice move and so FOMO got me and I was like oh it's going to it's gone without me it's going

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to if any if any retracement I'm going to buy but I know that I need to be risking off this level here. So I started I did I didn't chase that um but I waited uh I couldn't actually I probably would have because I was with E Trade so I couldn't trade till 7. So when it opened I started in around here and that's fine because you know this might not reach my risk level. So that that that's cool but I need to size size size in accepting that if this retraces um I need to be willing to take that loss. I sized in a bit too big here and then when the market opened

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because I was going for a really big win on this one. I I looked at my P&L and I was up about a thousand and then in this trade I was making I was going to make three uh five figures. So I just instantly just added here and that's just an absolutely awful ad from way too far away from my risk. Then it started to retrace and I just started adding on like random levels and then when it actually it broke my risk level only by um you know a couple of cents. I was just like I just panicked and I was just like whoa I'm just I'm down sort of I was down I

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think 1500 at that point. I thought this you know in my head this was going to keep going and keep going. So I just cut had no more cash in my account and then just had to sit there and just be I was quite chilled. I was willing to take a big loss on it. Um, but what we can see afterwards is key. It came down to this this level. It couldn't really break it. It tried again, couldn't break it, and then get rid of this. Reclaimed the low of the pre-market low of 119 perfectly. And that is the telltale sign that this is the bounce day. So, it's had the pre-market pop. It's retraced.

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It's tried to break the low. couldn't really couldn't really reclaimed and then it has this grind up and then short star covering and then bang we have this pop and that is I don't know what's that like 120% move or 130% move something like that so really really nice range uh on that one but yeah I had to I took a a big loss on something that that I was correct on simply because um I didn't manage my emotions correctly what did you do that day to get over it I was quite chilled I was quite chilled To be honest with you, I was I knew before that I was um willing to take a

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big loss on it. So, the loss wasn't so bad and uh but I was I was kind of like I yeah I was a bit disappointed to see I knew at this point when it was doing this I was like this is I knew what had happened. So yeah, I was all right. I've felt worse. The the big draw down a couple years ago I felt a lot worse then I guess. Ah, but still but I see common characteristics of traders who make it and traders who don't. And uh if that was me and I thought I was going to make 10 or 15 grand and I lost 1,500, I only lose I I might

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have drank a quarter of a bottle of whiskey. I might have to get to get over it. But for you to say just a little I was I was okay about it. I was a little bit disappointed. It shows to me the personality traits of a a someone who should be a traitor because your emotions. You've been through worse. You can handle it. You're not self-destructing. You've got through it. Do you know what I mean? Yeah. But I I have other things that I struggle with. You know, I know why I know why you say that because you know it's a big missed opportunity, but there are other emotional things that I do sort of

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find more difficult and trading. Yeah, I struggle to switch off from trading and that's a problem. It's a it's a really big problem for me. Um, I mentioned to you earlier I might go to Thailand for three months just so I'm not around the computer because whenever I go whatever I'm doing, if I go to the gym or just whatever, my mind's just like charts charts charts. And that takes a real impact on my body. Um, because when you're visualizing a chart and how you're going to play it, how you're going to play this stock, your body thinks it's real. So your body's reacting as if as if you're still trading and that constant adrenaline

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is is it's quite dangerous. Ah so you've actually you you've become so obsessive and so emotionally involved in it that it it can have a detrimental impact to your health or it hasn't yet but you feel like it could. It's beginning to it's beginning to. Yeah. I feel like tired, a bit more, exhausted, a bit more fatigued or anything like that or that or that or just feel um like certain sort of tightness in my body. Yeah. Yeah. Yeah. But uh the thing is though, it's like the best people in the world competing against each other. Like you've got to be crazy to make it. You've got to be crazy and obsessed to make it.

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Well, it's like price. Look at Look at Jack Kellogg. It's the price. It's the price you've got to pay. Yeah. Yeah. Yeah. But now everyone should be done healthily. Yeah. It is. It is. And you know, trading is one of those things that um the kind of gains you can make from it. You can take months off at a time once you reach that level. So, you know, that's that's the plus side of it. So, yeah. But and that this pattern comes around once every six weeks, once every five weeks in a good market. Maybe there's three of them in a week, but maybe in there's nine in a month. So you've got other patterns

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of the trades in between or Yeah, there's there loads of different patterns that I trade. Um I can pull up another example. Yeah, let's do one more if you want. Let's do one more and then and I'm just conscious of your time. We'll go through one more a different pattern and then uh I'll I'll bet a few questions to close out with you. Yeah. Yeah. Cool. Okay. So I I would say also that I did there are certain patterns that I will go to that I sort of have studied, but I'll also trade things that I haven't necessarily studied just studied just studied just because when you're in front of the screen for so long

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and you are in the flow of the market, you just begin to recognize what's working at that moment in time. And so I'll adapt to that. And um yeah, that's one of the best feelers feelings uh when for me when I'm trading is that when I'm just really in that flow and you just conviction comes from that because you just because all the stocks are behaving in the same way once you once you're in tune with that and you just you just begin to see it occurring somewhere else and you just jump on board with that and this is actually an example of that. So this su is something I traded recently. I think I

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made what did I make about 1,200 on this I think. So what's happening at the moment is um this isn't something I would look for but an example of just how the stock market works in terms of what's working and when. So at the moment what we're seeing is stocks that have had recent offerings have a big gap down and then they have a spike afterwards. Uh so that's the crazy world that we're in. Um this was the you know the big spike day but I didn't play it on this day simply because you know it was just a after hours spike pre-market spike and then failed all day but I did notice it on

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my scanner and um because I noticed it on my scanner my scanner my scanner uh on this day here I decided that I was going to play it as a breakout. Okay. Now going back to what I was saying before about first green days. This would be the stock's first green day. Um, but I wouldn't look for a first green day on a runup that's been this week. So, it wasn't something I I was happy more than happy to miss this day. So, on the breakout day, what gave me conviction to trade this as a breakout was HMR. So, HMR had a breakout the day before SUNE and I had seen so this is the

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day one. This is the third day surge. This is the breakout day slash day2 day2 day2 continuation. So I missed this whole move but I was very much aware of what was going on with it but I didn't see a good entry. I just missed it but it was in it was in my radar. So when I saw su let's go to the five minute chart. So this is the the the day one move and then it just fails. This is the first green day. Then I noticed this on my scanner when it popped up pre-market and because I'd saw it on this day, I recognized the recognized the recognized the ticker, jumped onto uh

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the chart and I could see I I recognized I I noticed on my scanner when it was about here about 9 and about 9:00. Now, in terms of playing this as a breakout, I think what a lot of traders will do is the breakout level is up here at 52 cents. Okay, this is pre-market and a lot of traders will be sort of buying the breakout around here. But for me, there's not very good riskreward there. there. there. So, I want to look at buying this stock at a a break of a key level which is lower down, which is going to give me better riskreward. And that key level in this instance is the

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high of the first green day. And we can see here that's why it's topping out here. Okay? Because it's is a key level. Then when we have this break of it, this is when I begin to notice it. This level was already drawn on fortunately on my chart. Not sure why, but I could see that this was the key level. I need to get in around here uh in anticipation of this breakout. I want to sell a piece uh well all along the way uh definitely into the breakout level and hold a piece on in case it breaks out. So when the market opened uh I could see it had a little pull. I can

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see on levels two and tape that it was firm. So got in around here and then just sold all the way up. I think my best sell was uh just over 60 cents. So how did that break out? This reminds me of how rolling trades cuz Roland's drawing is a few I see Roland trades and I've talked to him a few times in the past and this is a roll involve. Is is this something from his room or is this is your styles influenced by or is this something you you knew in the past? Um so I haven't really everything I do now long biased is is influenced by Roland because you know I've so

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much of what he said. I haven't um spoken to him much about breakouts, but definitely uh the definitely I have heard him say there's no riskreward here. Buying near highs, you know, buying the breakout, that's that's that's not the place to buy. So the fact I'm looking for a lower key level, yeah, it would be based on what I've learned from Roland, I guess. Yeah, it's just it's more the fact of buying nearer to the lows, not buying the tops, not buying the breakout so high, buying more the bottoms. Uh the crazy riskrewards like the cuz you're looking what what's the risk reward you're looking for typically. I don't really have a typical riskreward. Uh

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to be honest with you, I'll just look at it and just see if it is good risk award or not. I don't have like a one one two one to three or something like that. You're not going for two to one. I can see you're not going for two to one. You're not going for 2 to1. You're going for like 10 to one. 10 to one, 15. Yeah. No, I I just want that risk as tight as possible and then like the upside exponential. So, I'm not thinking about is it 2 to1, 3 to1, 4:1. I just want like a two cents risk and like $25 upside. upside. upside. You're looking for an explosive move,

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but as little risk as possible. Yeah. And um what you you mustn't have too big a winning percentage and but generally longs I see winning percentages between 40 and 50. I'm not sure. How often are you winning? Uh I'm not sure. I'm not sure on on Kinfo because that tracks my stats from so long ago. Um my win percent will be a lot lower than it actually is now. Not that it would be particularly high now compared to a short, but you know, back in the day with a big account and overtrading, yeah, those stats would be quite off. No, but it's it's just interesting to um it's just interesting to know because say if

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you win percent is 40%. It's okay to lose more than you win. When you've got the riskreward on your side, I can see you keep your risk tight and you have and you have really crazy uh riskreward. So, it's okay if you win the rate 35%. You can still make 200 grand and like that's that's really good. Appreciate I appreciate the the charts. I appreciate the analysis. Some some nice patterns, some nice good examples of riskreward. Um, I just want to ask you, um, if you had to start all over again, it's common question a lot of people ask, but it's a good question. If you if you had to start all over again, knowing

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what you know now, what advice would you give yourself? Well, I can go one better perhaps because my sister's recently started and so I'm giving her ad and um what I said to her was um don't expect to make any money in your first your first your first year and start with as little money as you possibly can and expect to lose it. That's your prices of education. Whatever you start with, you're likely to lose. to lose. to lose. Once you can see consistency in terms of percent gain, then you can size up safely. Do you think I guess sorry? You think so? May I guess? Yeah. Yeah, I do. I've seen a lot of

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people um you never know. You never know. But um I've seen a lot of people, especially when I was making money, so many people were asking me uh you know uh about trading and how to start and stuff like that. And um you know often people think they want to do trading until they start it and the reality of it is very different. Uh but with her um she's always been sort of into it anyway. Um the way she's applying herself, she's just got that thirst for the interest in like wow she can see it. She can see the opportunity. Um so she is very new. Um but her understanding is has increased quite a

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lot. Um so that's some of the things that I shared with her and the probably the other thing I would say uh to somebody is in addition to you know start with as as as little money as you can I would say find the right teacher that's everything the right teacher is everything and that can speed up your process uh dramatically you don't know what the right teacher is when you start that's the problem no then there's so and you don't know which ones are legit and which ones aren't or which ones are just all in it for to do the marketing and which ones are are in it because they're actual real traders. You

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need to find someone who's a legit day-to-day trader but actually gives a about the education as well. And like that's really hard to find that and that's one of the that's one of the reasons Kino is set up and um hopefully we'll roll Roland B's this the second star of this Kinfo episode. So hopefully we'll get him on and we'll give him a mention and we'll get him verified somewhere along the line. love to have blank came for as well. But um if and the other thing is um um um why why did you make it? And uh and by by the way when I say make it I don't mean a million dollars. I

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mean like anyone who makes six fig anyone who makes 100 grand like 100 grand is life-changing in England. Like I bought an apartment with the money I made for 100 grand. Like 100 grand I don't know about America. It's lifechanging in England. So that that for me is making it. So, why have you made it in trading and you look like you're on your next level and and others don't? Um, well, I think, you know, again, you know, I don't feel like I' I've made it. Um, firstly, I feel still feel like I'm sort of at the beginning of my journey. Well, not at the beginning, but like kind of yeah, I'm regaining some consistency,

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which is great, but I wouldn't I don't I wouldn't say I've made it. Um, but why I've I'd say why I've achieved what I've achieved, I think it's because the main thing is I'm it's interest. I'm interested in it. I like it. That's that's definitely the main thing for me because when you're interested in something, you just do it. You know, you're not bothered about any obstacles. You just go through it. Um, but the the the like I wouldn't even call it a failure rate because what what is failure? Do you know what I mean? A lot of people start trading realize it's not for them. Fair enough. We'll call that failure. You got to

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try new things to find out. But let's say that the failure rate is is so low, so high because barriers to entry are so low. Barriers to entry are so low when you want to trade. All you got to do is download an app and you're a trader. Um but for me, um the the the interest, the pull towards it was just so strong that I was just willing to go through um whatever I needed to go through. And I I could see like clearly that this is real. There's opportunity there. opportunity there. opportunity there. Oh, but and well well like great job for for sticking in because uh you did what I didn't do.

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But I I was the opposite to you. I I made a I I got over 100 grand in profits. I was playing golf in the sun one day up 103 grand on your account thinking, "Oh, I've made it. I've made it." And then I lost like 30 30 grand a couple of weeks later and then I still haven't recovered. So, I think I love your humble attitude and and the difference. What most impresses me is when you start a lot of people can find one pattern and make money on it, but not a lot of people can adapt to different market conditions. And when you're starting to spot random nuances and patterns in the market

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because you're that obsessed about it, that to me is the signal of someone who's one level above the the person who can just find one pattern and make some money and then then they get stuck. Do you know what I mean? But, uh, I I thank you for your time. appreciate you coming on. Thanks for being transparent and uh we'll close out there. Oh, my pleasure, man. Thank you.

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This Trader Made $243K Shorting Pre-Market

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📅 Uploaded: 2024-10-22

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⏱️ Duration: 0:27:22

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👁️ Views: 2,872 (Rank #1 of 1)

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💬 Comments: 10

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📼 Playlist Progress: 0:54:44 of 0:27:22 (200.0%)

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👉 Check Pace's trading performance on kinfo: https://kinfo.com/portfolio/35983/performance

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👉 Get 1-month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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In Episode 3 of Undiscovered Traders, Jonk87 sits down with Pace, a day trader from Shanghai, China, who’s earned over $240,000 in trading profits, being $140,00 within the past year. He shares his journey, trading strategies, and the lessons he’s learned along the way. We dive into his detailed stats, pre-market trading edge, and how he balances risk. Tune in to learn more about shorting small-cap momentum stocks and the importance of tracking patterns for success.

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CHAPTERS:

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00:00 - Introduction

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06:30 - Analyzing Stats and Patterns

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09:30 - Pre-Market Trading Edge: Taking Advantage of Time Zones

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12:00 - Risks and Rewards: Handling Pre-Market Squeezes

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18:00 - Lessons from a Recent $15K Trade: Managing Risk and Maximizing Profits

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21:00 - Persistence Pays: Pace’s Advice for New Traders

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24:00 - Finding Your Trading Strategy and Staying Disciplined

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Key Learnings:

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- Pre-Market Trading Advantage: the importance of trading during pre-market hours to capitalize on low-volume spikes.

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- Tracking Stats and Patterns: Pace meticulously tracks his trades and market patterns to find his edge.

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- High Accuracy Focus: Pace aims for consistent accuracy in his trades rather than just going for large gains.

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- Avoid Over-Sizing on Front Side: He advises against oversizing on early entries, especially during pre-market squeezes.

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- Stay Cautious During Pre-Market Trading: While there are opportunities, pre-market trading requires extra caution due to low liquidity.

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#DayTrading #StockMarketSuccess #TradingStrategies #PreMarketTrading #UndiscoveredTraders #SmallCapStocks #TradingJourney #StockMarket #ShortSelling #TradingTips

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🔗 Follow kinfo: https://x.com/Kinfo

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🔗 Follow Stephen Johnson: https://x.com/Jonk87

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Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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today we're talking to Pace hi guys I'm Pace from Shai it was at alltime highs with with with $140,000 of profit that this stock squeeze up to 20 30 50 and even to 100 but this is on the front side so it's pretty dangerous welcome to undiscovered trainers the podcast that focuses on the charts stats and Edge of the latest six figure verified trainers who have RAR if ever been interviewed before today we're talking to Pace from Shanghai China it was at alltime highs with $140,000 of profit which he's made just in the last year so today we're going to cover his stats H some some what it what it does for his Edge in

S36-P0036 original line 44, characters 1785:3466
a little bit on charts but first of all PE you are running at peace to the million dollars how are you say St thank you st looking forward to to it and uh hi guys I'm P from sh hi and uh glad to talk with stepan today uh P it's very very very good to have a someone else representing China we only say Steven Ducks from China yeah I mean so I was a undergraduate and graduate student in US several years ago and uh and it was during that time that I discovered trading day trading and uh and also Steven Ducks you know um uh I have I have taken his course uh before and

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uh some of my strategies are derived from his strategy so um it's definitely my uh kind of like model for trading for the trading pass so um um yeah very very nice so is that someone someone that you aspired to be like I mean from your point of view from taking his course is that anything that you notice about I've actually met stepen Ducks I met him I've met Steven Ducks once or twice I met him at a Tim SE confence years ago I've interviewed him uh Steven Ducks as well but is there any any one thing that makes him stand out is like such a great Trader yeah so and I think several things

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that so there are a lot of different great Traders and mentors on YouTube and uh and you know uh and I think once it stand out it's like um personally he is also Chinese so that we have a lot of income and he's also a a student from China and going to uh us for college study and and his background is not Finance uh he's not a finance guy he's not a um he's not F he's focused on gaming and engineering and but when he discovered training he I think one thing that and stand out and attractive to me is that and he's very hard on working he he's he's tried very hard on uh

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getting his trading better so making uh writing down the stats uh checking down every volume and studying very hard and U I mean that it so I admire him uh for that reason and I also doing the same thing tracking stats and tracking all different patterns trying tracking try to make my feelings and my uh trading better and you've been trading for how long one have you been trading just one year or year or year or longer no I have so I have been trading since 2020 and uh you know uh during 2020 is the bull market as everyone is going to the Mark I'm also buying for long long longterm investment and also I

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I discover day trading and I try different trading strategies I Tred log cap trading swing trading option trading momentum trading Etc and none of them works well uh for the first few we of two year so um yeah yeah H but things are going a bit better now you're up 100K plus do you want a um screen CH we'll have a quick look at uh some of your stats okay so we have got P's stats up now up now up now uh P I'm very excited to take a look through walk us through uh what you've achieved yeah so um I think uh for the last last year I have earned this is my best

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year so and I have earned over 130 30,000 uh dollars in profit and I think one thing that I'm proud of is like P record here my accuracy is uh at about 23 about two3 and for my alltime accuracy is about 23 and that's something that I want to achieve because I want I want high accuracy uh I know that and for grade Trader most the most ideal situation is that we have two set of accuracy and the profit versus risk profit profit risk ratio is 2 to one 2:1 so that I think that's the most ideal but my average and but my profit versus risk ratio is about 1 to one and even it's

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below 1 one so I so later I will focus more on the um profit versus risk ratio and accuracy I want to keep it at two3 so that is my general stats and this is just only one of my uh strategy I have another strategy and which works more on a larger account size and and that one is so this one is more about day trading and we trading our short shorting small caps and the the other strategy is more failing options failing options failing options uh which is another SE so um and but yeah this is my general stats for this particular particular particular strategy uh and I think one thing that particularly interesting

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to me is uh let me try reports and uh dat and time and my you can see that for my p&l uh for the week and it's it's PR different like and I have the best performance on Friday on in Monday and Thursday even Thursdays Thursdays Thursdays my in total is loose so which means that if I don't trade out Thursday this better for me um so this is particular interesting um I would say like and I I I I I try to analyze the reason behind it because most of my strategy about shorty small cap momentum stocks um and uh and I think like on Monday uh most likely it's like am because most

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of those stocks need news need news Catalyst however am most of those stocks and they lack the uh Catalyst most of those Catalyst come up the mate so that's why uh for Monday the trading you know is more like um very the the stock market is pretty stable uh there's not much small uh small caps stocks are you know squeezing up higher um on Thursday I'm not sure but I will definitely avoid it later so uh so this is the stat that after analyzing the stat I try to adjust my trading stale to make my performance better yeah makes sense uh is there much more on here by the way for for anyone who wants

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to know this is uh this is on pinfall Pro this report future where youve got your staty days and times you've got your tag symbols this is this is actually free at the moment for for one month free trial you just have to click upgrade on your account yeah and another thing that I think on my Ed I want to talk about is the pnl B and and hour because most of the day Traders um they they take trade after maybe uh eight 8: a.m. and most of the momentum uh you know from 8:00 a.m. to premarket to maybe 11:00 a.m. so this three hours most of actions are happen during this three hours however

S36-P0046 original line 44, characters 19133:20841
since I'm in China so um I can do the full pro market which means that um 4 p 4 a.m estd and in China it's like four 4 P.M so which which means that I can totally take the graphs of it so uh later we will show the chat for T so that's how um I can take advantage of the time zone in China so I can take advantage of the trading um all the uh the patterns for for for for a because uh those patterns most of the traders in us they cannot they cannot play but do you not find that premarkets a lot of people say don't trade premarket pre Market's dangerous you

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can't set stops in premarkets so how is that for you because a lot of the profits are coming in Pre Market yeah so uh that's pretty so I would say for new beginners um definitely not try premarket because we don't have star water and the spread that big however premarkets can definitely provide uh provide you with a lot of opportunities particularly this one uh I I realize that on 4 a.m and the 500 a.m. like the first hour of the premarket some of the stock sometimes maybe happens once or per two twice per mon they will squeeze up um by no reason and those those squeeze up all the those Spike up will die out

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in like 10 or 30 minutes so while you wake up in the morning the opportunities are definitely G for shorting opportunity for sure so um since I'm in China and uh um I can I can try to size up and monitor the pre-market access and pretty carefully however uh the only thing in premarket is that you cannot test too much uh because the volume and the spread are too volume are too low and the spread are too large so we need to be particularly careful and cautious during premarket but there definitely opportunities on premarket yeah so I mean how is the how would you measure I mean we'll look at the the chart later but

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how would you measure say a stock pop so you check there's no news you check the float the float is more than 3 million the suck can still go to 100 you don't know it can go from one to 100 so how do you measure where the top might be are you looking for a double top or or what yeah yeah so uh when I'm when I'm trying to shorten those stocks and there are two things firstly I will size up gradually so I not for example for example if my ultimate size is like 300 shares or 500 shares I will definitely size like three 30 30 shares the first time and maybe if it's

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sque higher and the 30 shares later so it it will be in my comfort zone that's the first thing and the second is like one the stock actually shows some size of weakness so that's the ultimate SC that I'm looking for the science of weakness it's either a double top um or it's like the TR line breakdown so I I like the TR line breakdown even more because like why up is are following a pretty beautiful trending line upside uptrend but when TR line breaks down it's easier goes down downside or it will goes with consolidation and I will I will try to size up there and when the consolidation breaks down that's another size

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weakness so I will I will size that more so um so try to size up accordingly uh for different for different time zone different pattern and but in your comfort zone do not set up too much at the first the first the first time I uh I used to live in Dubai and I lived in England as well um so I I would have the premarket just like you uh it would be like 10: in the morning 11 o'clock in the morning in England I'd be looking at the computer it's 5:00 a.m. in America and uh I I made a lot I made most of my money trading in the pre-market just like because I

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mean when there's a hot sector uh or the Market's really really strong premarket can be a little scary but when the market is a little little bit weaker 90% of the stocks die pre market you catch the moves that everybody misses and you catch the bigger move and most of them fail so I completely understand your strategy but you're going one step further we get doing the 4 4 4 a.m yeah yeah absolutely so that's that's what I figure out and I think most of I mean not most but um a lot of my largest trades are coming from the premarket because there are some uh during PR Market there are some strange outgo Spike

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or you know whatever there's some low volume squeeze uh which is which is pretty I know this Prett seems pretty dangerous but I I would say based on my understanding and the perspective the um low volume pre-market squeeze um easier to die out during regular sessions because the pre-market squeeze up and are build up with low volume which means that not not many people buy it but but if the stock like squeeze up during regular sessions with high volume there that's something you need to be cautious of because um yeah that's that's different situation no that that 100% makes sense because you know that the market makers and the manipulators they're they're getting in when

S36-P0054 original line 44, characters 33572:35315
there's only the volume they're manipulating the're squeezing the shorts but there's not much money in it for market makers at 4:00 in the morning probably not even awake do you know what I mean absolutely understand what you're saying it's it's light volume it's likely to likely to likely to fall um it could it could be some shorts getting squeezed to C that it makes a it makes a lot a lot of sense what you say I think I need to need to try this but um do you have any more stats that you want to go for or shall we we'll jump to the chart yeah we can jump onto the chat okay so now

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we are looking at uh one of pace is recent trades uh this is recently it's only about a week or two back uh we are looking specifically at this area so it's basically I mean p you can walk us through and then I'll go to the day chart yeah absolutely so and I think the T stock and most of the actually happens during uh September uh 12 so on September 12 it's Gap up and it phas all the way to $4 so um I I did not play on that day but on the other day as I mentioned during premarket I noticed that this stock squeezed up to 20 30 50 and even to 100

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and in five minutes that with very low volume as you can see on the chat here and um so it's not this day yeah it's this day yeah so it's just really it's just one it's just 100 uh it's just five minutes and it squeezed up from 4 to 100 so with low one so this pretty crazy so the first thing I checked is whether it had some deeply strange news but no I would assume that they have no news because basically no news there's no news can help a stock get Gap up like this per right so I check there's no news so I know that this is a pure short sree so the

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next thing that I asked myself is um where should I get in and uh and uh where where should I get in and how should I set up so basically my uh I I I think this is a big opportunity because I know it will Fed Up later so uh my size would be 300 shares to 500 shares uh that's basically on my uh on my comfort zone so and on the on the third on the third um five minute chat uh you you can see here when squeeze up from 100 and just start out from UH 60 so this is the first uh 5 minutes red candle so I SI up a little bit

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and then after 10 minutes it squeeze up to uh 65 and then just so just a dogee candle and it start to fade and I I I would treat this uh as a a normal double top and I set up more on uh 60 and 65 and then it it goes all the way down just one sec B did you send the chart I looking at the the chart on the screen screen screen here yeah so this is the chat on the chat on on the chart the chart on the screen now right yes yes so so wait a second where where are you getting in sorry because I can see it goes literally this

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is a 15 minute ch right so it goes three to 130 in 15 minutes yeah so uh so basically I so I size up a little bit while it go to 100 but this is on the front side so it's pretty dangerous uh but one what you can see on third candle is a red candle which which is what I said is the first side of wickness so I found the first sound weakness I size up a little bit more and then after two candles you can see that just one candle goes up to 60 uh 80 8 85 those 85 again so this is one I would say a irregular uh double talk though

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the pattern in the premarket is not that you know do not work pretty well but I would assume that this a double top so I can't size up more so I try to size up here and after it break down I did not size up more because I uh my profits are enough for for my trade I I do not want to earn more and uh then and also I would I would I'm afraid that during regular sessions it will try to hold up several times which is which is pretty dangerous if I my size is are too large so I did not start up later so my average on this trade is $60 so

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which is pretty good and I would say 6 and I think I have 300 shares so I earn so I covered around $10 on the regular session so um my profits on this total trade is around like one 100 uh uh 15K yeah 15K but do you don't get scared because I've tried to do things like this before and I'm short at 20 then I'm short at 22 then short at 26 then short at 28 and then it goes to 130 yeah so my take is like do not do not size up too much on the front front side uh because you you can so it's a temptation to show why it gets 100 and

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I do I I do show on 100 and I'm I'm pretty uh scared but my size are pretty small at that moment um and as as I said the squeeze up on premarket I love it more because the squeeze up premarket are more are easier to dial out but the squeeze up during regular sessions like um LPA this year um that that is a squeeze up during regular sessions is is more is more difficult makes makes all sense but is there a point where you take take take a see your average is 60 you take a very small position take a very small position take a very small position if it goes to 200 or

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300s do you have think okay I'm just going to do you have think like okay I'm down more than I'm comfortable comfortable comfortable I'm yeah yeah absolutely I will I will definitely have a stop stop out but my stop uh stop loose session and for this trade is more like dur regular sessions so I what I'm thinking and what I was thinking uh during that time is like um uh so the premarket I hopefully is consolidation or downset if uh during regular sessions for example at the opening BT it's C up several times or it's C up over the premarket highight like 150 I will definitely stop out because as I said most of my

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Logics for this trade based on that premarket squeeze up um it's not very strong so the uh pre-market uh pattern are easier to Broken to to to be broken however if in regular SES there are some volumes going uh trying to squeeze the stock up yeah I know that something is wrong and I don't want to play with it and I will try to stop out and try to set another sign of weakness to to try again maybe makes sense and I'm sure that you've tracked a loot of stats on this and I'm sure that you know that probably 95% of these things fail so you know that it's super super high it's just a

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little bit of risk on the front side right yeah and I don't and so for my account because I'm doing the short uh shorting strategy so for my account basically why I I I try to cash out and while I earn a certain fixed amount of money so um even if my you know uh my C are blown up like the best the the best the worst the situation then I'm still I'm still fine so I think that's some suggestions that will give to beginners if you want to try shorting strategies you definitely need to cash out because and while you're shorting uh stocks you everyone have the possibility of being margin c yeah and

S36-P0066 original line 44, characters 53580:55368
like that's the thing as well there there's so many brokers available now that will you can especially outside of the USA you don't even need $25,000 right I think for you in for you in China for you now if you've got a CH an account with a Chinese residents TR you have like the option of $5,000 accounts $10,000 accounts yeah I do I do have the option for and I do have a trade zero account for five uh for 5,000 uh dollars but and this is not very and so it's not a benefit to me because my my size are actually larger than 5,000 so yeah but but it just you have the flexibility anyway

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that you say okay if I if I blow $40,000 it doesn't matter it's not the end of world yeah yeah yeah that's that's for sure that's sure maybe maybe like if I maybe later if I earn the half a million I will try something like an an small account challenge I don't know I I I definitely ad I I I definitely look forward to it but I will and I firstly stand up more no but I think from from what I can say it's you you've definitely got a solid strategy I mean there's there's some risk in it but there's there's risk in the market no matter what you do and it seems like you've

S36-P0068 original line 44, characters 57094:58885
got it locked down um I really appreciate you going through the stats I really appreciate you um I really appreciate taking us through the trade do you have any final tips for beginners or any golden nuggets or pieces of advice for new Traders yeah so um I have a lot of suggestions because I have been as I said the first two years are are pretty bad for me and but and I have some of my friends are trying to stting day trading start trading at the same time that all of them give up um because like at the beginning of the two first two year they found that it's pretty time consuming but no profit

S36-P0069 original line 44, characters 58886:60626
so um they they all be up um but I my suggestion to beginners is like if you love trading and it will definitely reward you but you definitely need to try hard to learn and try to take pay because there's no no pay no gain right because you need to so I I don't know I don't I don't know others but I would assume that most of the Traders lose at the first year U because the first year and even though you can learn a lot of training psychology you can read a lot of books you can learn different patterns it it doesn't matter because um you are you are still lose um but I

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I think my turn around is like after while two years I realized that firstly I found my shootable strategy that fit my characteristics and the second thing the most important thing is like I Tred I have a better feelings for stock check so because every day I try to you analyze the chats for small cap and large cap immediate Tesla spy Etc I have a feeling that while this pattern emerg is dangerous it will fade out Etc so this feelings is something that you cannot learn from YouTube or from book it's learn from your every day reading the chats so um so I I think so I think that's why trading uh is kind of

S36-P0071 original line 44, characters 62409:64334
hard for beginners because you don't have the feelings you need to build up the feelings but you need to pay money and take Pace to build up their feelings and I mean you you've got your strategy you found your Edge you've tracked your stats but I mean for someone new where would you recommend that the started where would you recommend that the goal to to get where you are now to get the six six six Biggers uh I would say uh the one thing important is that you you need to try to find the strategies that fual characteristics so there are different strategies out there and every strategies there have triggers that can amount from

S36-P0072 original line 44, characters 64335:66053
it however you need to find the C uh found strategy that can definitely Feit your characteris for example when I tried day trading uh for I tried scoping I tried to Long uh like only du LS for momentum small cap but I can't do it um because my characteristics I focus more on accuracy I know that those small cups they can so for example it's like $10 right now and I want to it goes to $11 and I can sell but one for example if I buy it uh like 500 shares and it drop drops to uh 950 I will freak out because I'm I'm just afraid that this uh stock will collapse and I

S36-P0073 original line 44, characters 66054:67907
will stop Bo and the stop goes to new High and this this can happens several times and I realize that this is the strategies that I cannot follow because I know that directional I'm wrong but I'm shorting the stock I know that direction I'm right so I can I can only follow the technical patters and as I mentioned I have another strategy it's not uh here on Kimo it's more about selling options uh selling out of money options and and as most of people know that selling options has high accuracy right so this this is basically the same thing basically the same thing for shorting strategy so I want you um so I know that

S36-P0074 original line 44, characters 67908:69835
this feedback characteristics and if you follow your displine to stop lose um uh on uh the expected value is positive and you can definitely earn money from it but they are definitely people that can you know stoping in stoping out in one minute or 30 second and and uh uh those are those those strategy fits the character the characteristics that are um quicker so um um so I I I used several years to figure out my characteristics and and my feeding strategies so I think for beginners you need to um so this is something that you need to figure out yourself that's fantastic and I think that that's a wrap I really appreciate you coming

S36-P0075 original line 44, characters 69836:71627
on uh it's thank you for being transparent based thank you for going through your stats thank you for going through the pro stats thank you for giving advice on the pattern you you've give tremendous value to the community so if there's any fatal fatal words I'll let you close it out uh no I don't I don't I don't have any final suggestions and thank you stepen for hosting me and uh and and also I would love to share more of my suggestions and ideas later if we have any other sessions and uh I will definitely so I'm I'm definitely um Welling to help new traders to get all their situations and the last say I

S36-P0076 original line 44, characters 71628:72135
want to say is like if you love trading uh just take more time to do it and even if it take PA it will reward you later good man than your P thank you stepan

S37 | This Trader Made +$700K in 6 MONTHS - While Working a Full-Time Job | Complete normalized text

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This Trader Made +$700K in 6 MONTHS - While Working a Full-Time Job

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📅 Uploaded: 2025-09-11

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⏱️ Duration: 0:52:36

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👁️ Views: 910,029 (Rank #1 of 1)

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💬 Comments: 888

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📼 Playlist Progress: 1:45:12 of 0:52:36 (200.0%)

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⭐ Join Kinfo for free and follow what top traders like Mallik are trading: https://kinfo.com/signup

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👉 Check Mallik's performance on Kinfo: https://kinfo.com/p/TQQQTrader

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👉 Mallik's strategy signals for public use: http://collective2.com/my/K6Q9FDJ8A

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Mallik, AKA TQQQTrader, has racked up $775,000 verified profits in just six months. But here’s the kicker: he hasn’t placed a manual trade in three years.

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In this episode, Mallik shares how he figured out which style of trading suited him best, and breaks down how he built his own platform, backtested strategies across 42 years of data, and now runs seven fully automated strategies trading just two ETFs.

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What makes this conversation special? Mallik doesn’t just talk about trading - he shows you how he does it. From his edge in trend-following and mean reversion, to the conviction needed to sit through 30% drawdowns, this is one of the most transparent looks at systematic trading you’ll ever see.

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📖 Chapters:

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00:00 – Intro

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04:50 – Starting with $20K, scaling to $1M

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06:48 – Kinfo charts

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08:35 – Who is Mallik

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09:47 – Why he only trades TQQQ and SQQQ

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11:31 – The evolution of his trading strategy

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21:59 – Building his custom platform “WhiteLight”

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24:38 – Demo: how his system runs trades

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31:58 – Process, strategies and using moving averages as a simple edge

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38:12 – Backtesting results: 42 years, 80% returns

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47:22 – How to get started in systematic trading and final thoughts

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🔑 Key Learnings:

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- Play your own game – Find strengths unique to you, not someone else’s strategy.

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- Simple edges endure – Momentum & mean reversion beat complex models.

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- Don’t underestimate the power of basic indicators like moving averages.

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✔️ Follow Mallik: https://x.com/RealTQQQTrader

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✔️ Follow kinfo: https://x.com/Kinfo

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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🔴 Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal, trading guru, i trade 10 minutes a day

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#Kinfo #UndiscoveredTraders #SystematicTrading #TQQQ #SQQQ #DayTrading #QuantTrading #TradingPodcast #AutomatedTrading #StockMarket #chatwithtraders #trading #tradingbot #tradingstrategy #mallik #kinfoverified #verifiedtrading #tradingguru #jonk87 #stephenjohnson

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Just stop there one second just so I understand. It only runs 10 minutes of the day. Did you say >> that's it? >> You train 10 minutes a day. >> 10 minutes a day. >> Malik is up 700,000. The crazy thing is that's in the last 6 months. months. months. >> One thing that's going to blow people's mind is I don't have to do anything until here for 2 years here. This is the process that I follow for every strategy that I create. And you make a ton of money without doing anything. >> To me, that is absolute insanity. Welcome to undiscovered traders by Kin for the only podcast that interviews verified six and seven

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figure traders. If it's not Ken for I don't personally believe that you know that that person can have actually made that money. And today we're interviewing uh Malik who goes under the Kinfo name is it Mallet TQQQ trader. Now, Malik is up 700,000 in verified Kinfold profits. A little more, much closer to the million in and his actual profits, which we'll get into in a little while. The crazy thing is that's in the last six months we've saw those profits come through on Pinfall. Uh, and this this episode is a very special one. It's something a bit different that we do to normal. It's pretty much a mustwatch because in this Malik is going to

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determine his strategy, how he comes up with the concepts, the the how he builds the models and builds the codes, back tests it across 42 years of data, and then how he automates that process. There's going to be like a small presentation and then a big demo. Perfect for kind of people who are wanting to get into this. But first of all, Malik, how are you? >> Yeah, doing pretty good. um really excited to talk about my journey and uh everything else here. But uh first of all, really really thank you for inviting me on this uh podcast. Um I uh as I said before um I when I started trading, I used to watch

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your videos uh online and uh they were amazing. I think they were stellar and uh um lots of comedy in them and lots of value. So, I used to love and uh watch those videos all the time. >> No, I appreciate that. I was I was a crazy uh crazy 20-year-old 20 plus year old kid, maybe 30 when I was just just starting those. Um one one day I'll go back. Um I said I'd always do a podcast and I'm I'm back on this one. So, that's that's nice. But, Mik, in terms of your trading, trading, trading, you've made an incredible amount of money in a very short time. I I really appreciate that you've

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been transparent on Kinful, but also that you're going to be transparent enough to kind of show us the process of how you're doing it. And you are you more of like a a quant guy? Is that the right way to say it? I'm more of a systems guy. Yeah, I there is a small slight difference between quantitative and uh systematic. Uh I am more of a systematic uh uh guy with uh a lot of mechanical like everything is mechanical. um every rule and every algorithm, every addition is all mechanical and it's tested against uh the last 42 years of data um to make sure that it is robust. Um I use a lot of stress

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testing and make sure that these uh strategies can stand uh against a lot of market regimes, right? like com uh crash or 2008 crashes uh ups and downs like can it withstand all that that the market throws at you every day day in and day out right so uh that's what I do I'm very different from a lot of uh folks that uh do the trading uh again like nothing wrong in uh uh um having that kind of a manual uh dis discretionary trading um but uh yeah I am completely fully automated at this point I don't uh do anything in terms of trade execution or everyday day-to-day decision making. Uh it's completely automated. I

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just let the computer take care of everything for me. Uh because I have a day job and I focus on the day job. job. job. >> That's absolutely insane to me. So you've made nearly a million dollars without executing trades. >> Yep. I uh it's been 3 years since I uh actually put in a trade in my brokerage account. Everything is done by the computer and it does it very very consistently. There's no emotions there. Uh it doesn't matter what the rest of the market is doing, tariffs or recessions or anything like that. It just does its job. And that's what I really wanted there. >> To me, that is absolute insanity. It's it's bordering

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on the what everyone's trying to do. Like everyone's trying to build a a trading bot. I remember Steven Ducks was talking about the DXNator and I mean Malik you you built the Malaganator but um but like I just so first of all how did you what's your background? How did you learn how to to do this and then we'll we'll go a bit into a demo and and also what are you trading um when you when you're simulating these trades? >> Yeah, I can I have prepared a few slides. I can quickly uh go through the slides and then uh talk about my background and uh my journey uh if that's okay with you. Yeah,

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sure, sure. Let's do it. But I just one question while you bring them up. H a lot of people ask me when they see people make a big amount of money. >> H >> H >> H >> how much did you start with? Cuz say if you start with 10 million and you placed one trade and you made 10% and you made a million. So like what what did you start with? How did that journey start quick? quick? quick? >> Yeah. So I started my journey um almost uh 10 years nine years ago. When I started, I just had a small account because I knew uh it was not going to go super well. So,

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I started with like uh roughly 20K. roughly 20K. roughly 20K. Once I uh figured out okay I this is my niche and uh I can consistently make money I I went to a bigger account like I started with uh around 200k and um yeah right now uh it's uh 200 220k and then now it's uh hitting a million in one of the accounts. I have a couple accounts um overall but uh yeah on the right hand side you can see here this is my um this is my uh one of the accounts uh equity curve um so you can see until 2022 2023 beginning of 23 I didn't make a whole lot of money um

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and then I started making uh uh consistent money uh it doesn't mean that I make money day in and day out um last year was uh you know a flat period I didn't make a whole lot but this year again market uh uh the regime suited my strategy. So I started making money again and uh right now yeah this account is getting close to a million dollars here. Um before that we can quickly look at the Kinfo. Um I would say my my style is uh more of a position trader uh where I hold the position like the core position for uh as long as the trend is uh in place but I trade uh

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I trade some portion of those uh shares around it. So let's say uh depending on the again the uh uh day and uh the trend I might only hold like 30% of my shares but like tomorrow I can add more and then day after tomorrow I might sell some more but still like the position is not completely closed until it might take 3 months 6 months sometimes couple years. Um so it's it's not a swing or a day trading strategy. It's more of a slow position trading strategy. So that's why um when we go to the um uh profit chart here, you see that there's not a whole lot in the last two years. It

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looks like I made all the money in this uh last 6 months. But but what happened in reality is like when I started in um 3 years ago, that position I was holding it until like uh last year until the bull market or this year until the bull market ended. um and then uh uh the position was closed. So usually Kinfo uh tracks all the closed positions and then the profit is displayed. Um that's why you see this a little bit of a a jumpy state like a steps um in there. But uh that's just yeah that's just a different uh visualization here. >> Yeah, but it's it's uh there's a lot of work there's

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a lot of work going on behind the scenes behind those uh those jumps and and then so are you so I'm seeing SQQ there. So, are you trading um is that the the NASDAQ? Is that a form of the NASDAQ that you're that you're trading? trading? trading? >> Yeah. So, uh so I'm a software engineer. I've been a software engineer for 20 years now. I used to work at Microsoft and then Salesforce. That's my background. I have been trading since almost 2016, 2015, 2016 and consistently profitable uh since 2022. And the key thing is I'm a fully automated systematic trader as I said before. Uh I don't make any manual uh day-to-day trading decisions. I

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don't uh I don't um figure out like what to buy, when to buy, should I sell, how much to sell. All that stuff is automated. The strategy is completely automated. I just let the computer run it. Um right now I'm doing seven strategies. Uh trend following and mean reversion are the two um categories of those uh strategies here, both long and short. trend following I would say is the bulk of the um bulk of the profits like is derived from the trend following and it's a low frequency trading like one to two trades per week. So my system is uh or my uh system is a pretty low frequency trading so it's not really like

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going in and out consistently um constantly but um it'll figure out like when to really trade. Uh one more uh special thing about this is I only trade TQQQ and SQQQ. Uh these are the only two ETFs that I trade. Uh one is a long triple leveraged uh NASDAQ 100. The other one is a short triple leveraged NASDAQ 100. Um so if I need to short I uh the the algorithm chooses SQQ. If I need to be long it chooses TQQQ. Um so that's the only thing that it does. It doesn't trade individual stocks. it doesn't do anything else. roughly the last three years uh since I went into production uh means I started uh

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this algorithm into the actual brokerage accounts my annual rate is around 40% uh return with uh uh there were a couple times where I hit a 33% draw down almost 30% draw downs and u my I I put my uh strategy signals at collective too uh so that everybody like anybody can actually take them and consume it um either they get emails SMS uh messages uh messages uh messages uh text messages. Whenever I put a trade in my account, it automatically sends all those signals in real time uh through collective. through collective. through collective. >> I may be contacting you for that after. I may be having a quick chat with about getting those signals.

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>> No. Um yeah, this this a few a few people have subscribed to those signals. If you go to collective 2 and uh check my uh strategy there, um they have live accounts like they have live brokerage money assigned to my strategy. So, right now there's $50,000 of uh money that's um uh where these signals are being applied. Um that's real uh people. >> I'll put a link I'll put a link in the description so people can link directly to it. Don't worry about it. So, there's a link in the description below. >> Cool. All right. Uh let's uh keep going. Um and then my journey um I I categorized it as into three phases

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here. Uh exploratory phase, a discovery phase, and then a growth phase. Um I'm pretty sure like most of the successful traders when you look at them these are the uh phases that they usually go through. Um and exploratory uh phase is mainly uh starting in 2016 I would say it lasted for 3 years. Um the key thing here is that I would say uh it's a strategy hopping right I'm trying to figure out what is my niche. So I tried with day trading um stocks in play uh pretty much quickly in one year I lost like 30% of my 20K. So it was just more of like putting your toes in the water and trying

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to get a feel for what the market does and how the market moves. Then I realized that okay day trading is not my cup of tea because um it needs basically you need to sit in front of the computer all day and u um looking for opportunities and that is definitely not going to be possible for me because I um I'm a full-time uh software engineer. I have a job and definitely it doesn't suit my uh the way that I live right. So I started looking for a different style of um trading when to swing trading a discretionary. So here uh it helped me quite a bit to figure out like hey how does the

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market move? Does it move like does it go up every day or how when does it go up? How does it go up? Uh I started learning about the market structure itself. uh the way that uh the market moves in terms of like consolidations and then breakouts and then huge push and then again a consolidation trends all that stuff I learned it here again I didn't make a whole lot of money break even for the most part um still again no consistent processor setup but in uh after 2 three years of doing this I I started with like a pullback and breakout setups just like anybody else I used to be a uh boom and

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bust trader where I used to make money and then when the market pulled back. I used to give it everything back and then it caused a lot of frustration because oh man like I made ton of money here but then I lost it in the next one month. Then I started realizing that okay I need a process to sell not just buying and then there was no risk management so it's all discretionary like uh I didn't I didn't know how much to buy u so all that stuff so the second phase is the discovery phase where the frustration was getting bigger and bigger cuz there's no it's a there's no progress so I was making

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money losing money making money and losing money all the time at this point I felt like okay I No, I have a lot of knowledge but there is no profits to show for it. So then I took a step back. I mean it was a very tough time like where uh I feel like I have done a lot of work here but there's nothing to show for. There was points where like okay maybe I should just quit and uh do something else right cuz it was a lot of frustration but then I started doing a hard retrospection like okay what am I doing wrong here? Uh am I really progressing or just like wasting time

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here? Then I started realizing that I am trying to play somebody else's game here. Like for example, Warren Buffett, right? Like we take his example, he does he doesn't do charting, technical analysis or day trading or swing trading or anything. He has his own thing like where he sits probably on a desk and reads a bunch of um company earnings and reports and all that. So based on that he is able to basically he created his own game where he does uh some things that he uh is good at and that's how he makes money. So then I realized okay I I need to look at what I'm good at and I need to play

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play my own game not somebody else's game. Uh I need to make my own rules and play that game because I'm good at it. Right. That's the way to make money. And stock market is awesome because it lets you play any game you want but you have to be really good at that game. So >> yeah, I think I think just to come in, I think that's an excellent point by the way because like there's a a common quote that everyone knows that's like excel at your strengths, but figure out what you're best at and just go all in on it. Don't try and fix your weaknesses because you're never going to ever be able

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to really fix your weaknesses sufficiently to be the best at it and and it's exactly what you've done here. >> Yep. So um then I realized that if you want to really make money or if I want I wanted to make money, I need three things here. one is edge uh conviction and then a process around that. I mean some people say psychology is a major thing but to me that doesn't make any sense like it's absolutely nothing for me. Edge is something very different for everybody but once you have an edge which is like edge I I define usually as something that you are good at uh you can do better than somebody else

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that's your edge in the market. It can manifest in different ways. For Warren Buffett, it is the edges figuring out the companies that where he knows uh they are going to raise in value over time and right now they are undervalued and he can uh stay with that right. So everybody has that edge that they need to figure out and then the conviction is also a big deal. Like just having that edge uh doesn't make you money. You need to have a strong conviction in your edge. Edge doesn't mean that you're going to make money every day, right? Day in and day out. There will be periods where your strategy or your edge is not

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going to make money. You will have a draw down and this conviction is going to make sure that you are still going to use that edge and when the market regime or when the conditions turn in your favor then you'll make money. So the edge is something like hey I have a sword but then the conviction is uh when you can actually use it like it'll make it'll help you stick to that edge when the things are not in your favor. And the process is something that you need to use that edge over and over and over and make consistent money. So all these three are very very essential. In the discovery phase, what I

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did was I looked at all my strengths. Again, my strength is analyzing data, creating strategies. I have a uh because of all the um manual discretionary trading that I did even though it didn't make any money I still have a really good understanding of the market structure uh what works what doesn't work in the market um and then I have coding skills because I'm a software engineer I can write code and I can build systems and then I also looked at my weaknesses if you look at a lot of discretionary traders they can make these decisions day in and day out for a long periods of time um it's really hard for me to do

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uh I that's my limitation and that's my weakness. That's why I was not able to consistently take a strategy and apply it day in and day out. Um and then I can't tra I can't sit in front of a computer all day and consistently make those buys and sells at the right time uh without those emotions because emotional emotions are a huge part of discretionary trading. So um that was a very difficult thing for me to do and that's again my weakness. uh time commitment again um I have family and then I have a full-time job. So, so what I did was um I looked at what I cannot do after the looking at my

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strengths and limitations. I derived okay I cannot do day and swing trading or discretionary trading. I can't do individual stocks because you need to understand the um technicals and fundamentals and you need to do a lot of market uh like a sector analysis and all that stuff to actually trade the individual stocks which I don't have time and I don't even have interest to uh trade those uh trade like that uh cannot do fundamental analysis because I don't have the background in that. uh most of the technical analysis um I read later on when I actually back tested a lot of that um none of that uh actually worked. I would say most of the

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technical analysis like a traditional patterns and um um the uh candle patterns and all those things they don't have a whole lot of edge in the market. Some people make it work but uh that's because of something else that they have not just from a uh pure uh uh systematic perspective. So I I figured out that the systematic trading through the index ETFs is my uh best way forward. Again I wanted to do leverage because I'm not scared of draw downs like 10 20 30 40% uh draw downs don't scare me. Uh I'm okay to stick through those draw downs and let the uh system run its course. NDX is my top choice because of

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the uh again I'm I have a background in tech very I can correlate with the um NASDAQ 100 because of all the exposure to the tech and the biotech. So I figured out TQQ and SQQQ are the trading vehicles to go along and short. So once I figured out all these things then I went back and say okay what is my edge here? uh again uh don't want to repeat here but developing robust and simple strategies based on timeless market tendencies like momentum and mean reversion these are the two uh anomalies in the market that you can say they existed for hundreds of years decades and they are going to continue because of uh human

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behavior right the human psychology people tend to have greed and fear and that's manifests in momentum and mean reversion so I wanted to use my systematic uh use systematic trading couple that with my coding skills and uh with my uh skills that I have and that's my edge personally I gained the conviction through data through rigorous back testing when I understood like uh how my uh strategies behave in different regimes what is the expected behavior that gives me a strong conviction of okay this is what's expected and right now uh is my uh strategy doing the uh is it working the same way it's supposed to work, right? And uh as I said, the conviction

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prepares you to continue to grind through the tough draw downs. Everybody will have draw downs, right? I'm I'm sure like there's no 100% sure that there's no trader without a big draw down. This conviction is really needed during those times. And if you don't have that, you're going to abandon that and go back to strategy hopping and all those bad habits. And also, I need a process. I need infrastructure to consistently back test and execute strategies. uh and white light is my tool that I uh wrote like developed and designed and wrote from scratch. Um it is a back testing as well as it does real time uh trading for me. I I write my

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strategies in there. I deploy them, test them. I did I test and deploy. Um and that's where this tool is born from. Right now I would say when I started this there were not many options to back test and uh deploy your uh strategies. Right now there are lots of tools. You don't have to write them from scratch. There are lots of tools available in the market um like a real test I haven't personally used it but I heard a lot of good things about that uh that new traders can u directly go there all they have to do focuses on um uh essentially the the the strategy part of it and everything else is

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done by uh those tools my tool the code name for my tool is white light uh because it was so dark during that time and then this was the tool that gave me hope so I named it as white light uh it has back test engine. You can test multiple strategies at once. Um, it does when you run the uh test, it uh shows you your equity curve over a long period of time, the draw downs associated with those and all the it spits out all the trades. So, you can manually look at all those trades and uh gain some insights if you want. And it also has the capability to run these strategies in

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real time. It can connect to my brokerage accounts, Fidelity and Alpaca. And it gets all the data from polygon.io. polygon.io. polygon.io. uh it also caches all that data locally in case polygon is down or some something happened right so it has some uh robustness and uh um fall tolerance built into it the biggest improvement that I did in the last one to two years is sending telemetry like alerts directly to my phone so that I don't have to really babysit anything there so if something whatever it is doing it will send me alerts like hey I this is this is a strategy this is our uh uh positions right Now the this is what I'm

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going to do and it will once it does the order placements and everything it sends me data and if there is some uh issue with any of these uh uh uh steps here it will alert me uh it will send me high alert so then I can go and uh take an action uh on that. Yeah I mean initially yeah there were lots of hiccups back and forth I fixed all all of the stuff and right now it's pretty smooth. It's been like couple years since I have any I had any issue with uh um execution or uh running these algorithms. So it's been pretty smooth the last two years. Uh but it took me

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a few years to get to this point. And then I'm going to quickly do a demo here uh talking about what does a real edge look like for me and the conviction and all all the process in action. action. action. >> I think what you're about to do now that no one else has ever done before is is actually show the process of systematic trading and how it's done. So I don't want to I don't want to hold you back from it. from it. from it. >> Awesome. So um the first thing is I uh from an operational perspective I run uh all this strategy in the cloud AWS cloud. So I have a virtual

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machine there. This is my virtual machine. I remoted into that. And the cool thing is I even automated when it should run because my strategy only runs the last in the last 10 minutes of the day. It only has to make two decisions. Basically it has to know should I buy TQQ? how much to buy, uh what is the position size per SQ only two decisions it has to uh make and then based on that it'll connect to my brokerage and then places the right orders and stuff. >> Just stop there one second just to understand it only runs 10 minutes of the day. Did you say >> that's it? Uh because my >> 10

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minutes a day, >> 10 minutes a day. Um even that is automated. Um I have resource scheduling everything set up so that it automatically starts um 15 to 20 minutes before the market close and um it just on boot it does this. >> If you're enjoying this level of transparency from million-doll traders, hit like, hit subscribe. Helps the channel more than you know to get more guests like this and more guests like this verified on Kinfo. So like it first step is it is going to uh let me see if I can zoom in a little bit. Yeah, cool. So first step is it's downloading the data for the tickets um SQQQ, TQQQ and the

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NASDAQ 100 NDX. It is running my strategy right now. Um the it's called dual strategy because it can do both short and long. I used to run only the long couple of years ago, two two and a half years ago. it was only long long based long biased but now I added uh in the last I would say uh one year I have added a couple of short strategies also into this so it's running all those strategies against some of the data that I have I'll show you uh while it is running uh I'll show you the data that I have so if you look at this folder like it's caching all the data uh

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let's look at the NASDAQ 100 here NDX NDX is the index for NASDAQ 00. So you can see um it's just a simple um date open, high, low, close and the volume volume is zero because it's an index, right? So it is caching all the data from 1985. That's when the index actually started and uh it knows it already has data till uh yesterday. So it all it is looking for is data real-time data right now and um it got it from uh polygon.io. So okay let's go step by step. Um so it got the data it run it ran my strategy here here here and these are the two critical pieces. It determined that

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today my TQQ position size should be 30% of my portfolio. uh SQ position size should be 0%. So these are the two critical pieces that's it like those are the only two things that are important uh at this point for for my uh for me right so um if I need to tell somebody that hey uh uh or to myself how much TQQ should I be holding today 30%. So let's say I come in with 100% of TQQ today. In the last 10 minutes of today, it is going to sell 70%, to make sure that I only have 30% >> uh exiting the close of the day. Um this is some extra information for me

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to know okay why 30%, but not super interesting for other people. Um so now what it is the next step it's connecting to my brokerage accounts. Uh as I said I have uh Fidelity uh a lot of accounts on Fidelity and Alpaca. So it basically said on this account uh I have to buy 42 shares of TQQQ. Um it knew it knew how many shares I already have and it said to be 30 at 30% you need to buy it 42 shares. Same thing for the next account. Um and then same account it says no changes needed for SQ current share count is zero because the today's uh share count uh for SQ is zero

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and I already have zero which I don't have. It says no changes needed for that position. Same thing it it goes to the next account um and then determines how many shares I uh it needs to buy. Now it didn't buy because it's still during the middle of the trading day. So the last 10 to 15 minutes it knows like okay this is the time and then it just goes and puts in orders for them and uh uh make sure that um I am closing that day with 30% of TQQ um in that in those accounts. So in a nutshell that's what it that's what my process is. I don't like as I said I

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don't babysit this one. It just boots itself on boot it runs this a lot of fault tolerance is also built into it. So if let's say polygon is down it can um it can fall back to different source of data. The only thing is like sometimes my fidelity accounts like sometimes the fidelity broker itself there were two instances where due to like in the bare market conditions the there it couldn't put in orders because broker uh was rejecting those orders but it could retry and then the last like it retried for 5 to 10 minutes and then at the end of the like the last minute it was able to put in the trades. So

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it can do a lot of uh recovery and uh from any disaster that that you have. Even if you shut down this machine, if you let's say if you shut down this machine right now, 10 minutes before the market close, it's going to automatically boot itself and uh do all these things. It won't let me set shut set shut my own um strategy down. No, it's it's crazy because it it to me it looks like I haven't seen anything like this since MS DOS in 1993, but uh it's it's clearly significantly uh more powerful and and more sophisticated, but the the premise of what it's built on. Looks quite simple. It's not uh any it's

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not something that needs um a billion gigabyte computer to run it. It looks fairly simple. fairly simple. fairly simple. >> All it needs is this data. That's it. uh it it only needs uh um this simple uh data this file and then SQ and TQQ that's it um and the rest it does everything uh these are the only inputs to it price right like the price is the only input here there's no news it doesn't do any ML or machine learning or AI or anything it's just pretty simple and the strategies as I said there are seven strategies it's running all together and uh based on the strategy uh output It figures out how much

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uh position says I need to have during that time. time. time. >> Yeah, I know. It looks it looks extremely simple. I don't think you're going to have any power outs or anything like that from overpowering the electricity in your house running those systems. It don't need too many servers. But I mean, so how I guess how are you following the process to think, okay, I want to look into this pattern. I want to look into that pattern. Maybe this pattern is going to work. How how do you do that first part? And then I suppose after you've got something in your head, you back test it for 42 years and see if it works

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and start tweaking with the settings. But can you just walk us through that part of how you do it? >> Yeah. All right. Let's let's jump jump to that one. Yeah. So, uh, every this is a process that I follow for every strategy that I create. I go write model that code. Um like for example if you say trend following uh it would be as simple as um let me bring up this uh let's see um NDX a lot of people make it super complicated but let me change into see uh you can see I don't look at charts or anything anymore so I don't even have the right charting um settings here but if

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you look at the NASDAQ 100 right a lot of people ask this question like hey uh is it a bottom yet? Is it the bottom yet? right? On Twitter, this is the most common question like, "Oh, is it are we at a bottom right now?" Right? But if you just all you have to do is like add a moving average, a 50-day moving average um and then add like a 2 uh 50-day moving average on top of it. Well, let's say so it's a simple um uh strategies like when when you think of a strategy, all all I'm thinking is like how can I model this trend? So uh if I represent my um 250day

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moving average in green here, all I can say is as long as this price is above this 250day moving average, I say this is a nice trend here. I want to capture this chunk of money here, right? Like if I start my position here on the 250day moving average, when it breaks, breaks out, I don't have to exit until the end here. And I made like a quite a bit of money here, right? So, if you look at my um Kinfo, the reason I don't have it's flat from here to here is because I just held this trade like as long as I could until the trend broke. Same thing um uh here the this

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year once the trend broke and once we came above this 200 day 250day moving average, this is when I got in and then this is where I exited. Right? So this three to three month period has netted me like almost half a million dollars here. I didn't do anything special here. All I did was all the strategy did was as soon as I as soon as we jumped above this 50-day moving average, it just went with 100% TQQ and NASDAQ jumped almost I would say uh uh 15 uh 15 uh 15 maybe 20% roughly 20% from here to here and TQQ went 60% in that time in just 2 3 months 3 months 3 months

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>> and my in these times I didn't have a single trade. All I did was just holding on to TQQQ and uh boom, that's it. And then it exited um around this time here due to basically the shorts and the mean reversions and other strategies also kicked in at that time. They basically figured out that the the trend has been slowing down here. So we need to get out of here. Right? That's in a nutshell like even before the last um bull market or from here to here as I said 2023 simple. So you don't have to ask a question like hey when do I enter is it the bottom yet? No you don't have

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to ask that question. As soon as you are above the 50-day moving average or 50day moving average you just go in. Right. Yeah. Yeah. Yeah. >> Um, one one thing that I one thing that's going to blow people's mind is none of these big runs have started without the price getting above the 50 and the 250day moving average. >> That's a huge edge, right? Like >> none of these like if you look at the history of NASDAQ mathematically, it's impossible for a rally to sustain and be huge rally without it being above the 50-day or the 250day moving average. It's impossible like you cannot have a 30 40 50% rallies below these moving averages averages

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averages uh a sustainable averages sustainable rallies um 100% right like that's your edge a huge edge people that's simple like it's just staring right in your face you don't have to have a fancy RSI or some kind of a um Ichimoki cloud or something right like you don't need anything it's just as simple as this all you have to do is like look at the history and then see oh like boom if I enter here I don't have to do anything until here for two years here and you make a ton of money without doing anything. anything. anything. Yeah I think on the surface your strategy anyone who doesn't uh do software engineering might think

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that your strategy is really complicated but I have a feeling that it's not as complicated as people might think. >> Yeah. Okay. Okay. So when let's say you write some strategy simple as simple as that right and right now my strategy as I said like it has seven different sub strategies in them they are all very very simple strategies like mean reversion like when when your speed of the velocity of your um uh of the trend is slowing down you need to basically take some of the money out right that's a simple concept how do you model that there are multiple ways to model that you can do rate of change right you can just

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all you have to is like let's say you are going in the car at 40 mph. If you're going to 50 now 60 then you know that you're you're uh you are accelerating. You're going above the speed limit and you are going faster now. All you have to do is look at the rate of change from 40 to 50 to 60 you're accelerating. But when it when you go from 40 to 30 to 20 then it's decelerating. You're going down right? So it's a simple math like all you have to do is like do a rate of change and you will um have a mean reversion strategy right there. So simple concepts like those you

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can take and model them and then back test and see how that looks like. So this is this is the data that I'm um so first let's talk about the edge right. So if you this is my edge like this is my strategy equity curve starting 1985. If I apply the same set of rules shorting in 1985 and do nothing, I didn't do anything for 45 years, this is where I will end up. This has 80% return per year compared to buy and hold of QQQ, which is also super great. Like I think it it's like roughly 12% or something since 1985. And again, like it goes through draw downs and all that stuff, but

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buy and hold of QQQ is this red line. If you instead if you let's say you bought TQQQ which is a triple leverage ETF you bought that it done really well until 2000 and then because of this crash it came back and it never came back to those previous size but it still beats QQQ for the most part the only problem is you have a ton of draw downs here 80 90 95% draw downs in this TQQ and it's very impossible to hold right so um that's it and then my strategy if you look at this because it's a combination of long and short. This.com when this crash happened almost 80% of NASDAQ crashed. I

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am actually making money here still. Um I have still ups and downs but I am actually making money here. Same thing with 2008. My strategies actually made money here in 2008. Uh if it were run right like if it were if I if I if I knew it. So the same way like now I know I have in 2020 you can see the 2020 look it actually made a ton of money here in 2020. Um I know where it struggles like where the market is going sideways. It actually struggles uh a little bit here. So I know the weaknesses of my strategy. Uh let's say if the NASDAQ is uh flat for the next one

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year, I know my strategy is going to struggle. But that's by design, right? Like you have to take the good with the bad. So this is the edge and the conviction behind it. Now I know I don't have to abandon this strategy. I know just I'm know keep uh letting it play out like let it run right now. Other data points that it spits out is when you run this back test the monthly monthly um returns how does they look like yearly returns how do they look like as I said like it does really well in these volatile times but if you look at 1997 to 2000 those were blockbuster years right it was making

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180% a year 300% 200% 169% even during the crash.com 2000 crash it it actually made 200% profit profit profit that year and 152% the next year. During the 2008 year, um it made 83 and 2009 was 155. The years it struggled like 2004 and 2005 were flat >> and it didn't make any money because it's just supposed to be flat, right? Um it gives you a good understanding of like in 2020 again it's 469% in that one year >> and the year after 2021 is 81%. So, I mean, >> yeah, go ahead. >> You you you could have only in my head, you could have only um looked at the market over the last as

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long as it existed and you've looked for the signs of the change in the change in direction or where the crashes have come and what's what's led to the crashes and you've figured it out to predict any future crashes or volatile price movements. Am I right? Well, I mean you don't have to predict at all with this. So, um like look at example of this year, right? I uh there was a tariff crash like 20% crash in NASDAQ. My strategy also crashed when NASDAQ crashed but it only crashed 20%. But I knew okay um I don't have to panic because that's by design because I have seen so many of these 20% crashes before right

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uh this is one of the but look at what happened after that. uh May was 23%, June was 20%, July was four and then uh August is five. So I know how it recovers. As soon as the market recovers, I'm going to make all that money back. So there is no need of prediction and if there is like another crash in the next 2 months, I know how it is going to behave. I know what it is going to do. So I just let it do its thing and I don't interrupt. I basically in a nutshell I just took myself out of this entire uh trading and let the system do its thing. That's when

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the the the trading is uh consistent and it actually reads the entire edge. If I come into the middle and panic and let's say I stop my um uh strategy here, then I'm going to lose all these big profits that come after that, right? Which is a huge thing. huge thing. huge thing. So I'm not scared of these draw downs like you know yeah bring me 20 30 40% draw downs I'm not worried about it because I have seen a lot of these even though I didn't personally experience it I know from the past studying like the data here there were crashes draw downs and then the next one okay let's go to the draw

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downs here this is a picture like a visual representation of the draw down so if you have a 10% draw down you'll see something like this here right and then this is the uh duration of the draw um uh I plotted basically across the entire 40 years of data here. In 1992 there's a 50% draw down here and it lasted for almost 1 and a half year but if you were able to withstand that uh look what happened after that like there was a big draw down in the 90 it looks like a little blip but you have missed out on all this big huge upside which is almost like thousand times your um or

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100 times your money in the next decade. Draw downs are uh nasty and nobody likes them, right? But it is part of the game like you have to withstand the draw down otherwise you won't be able to um get the profit after that. So right after the draw down is when you actually make money. So let the draw down go through and then you'll make money after that. So these are all the list of all the draw downs like uh all the 40 years in the last 40 years and like this is a nasty draw down. I think in 2014 to 2016 when the market was flat and it was like stuck in a range

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uh I had almost like a 30% draw down here in my strategy personally I didn't again like I didn't trade my strategy at that time I started trading in the last 3 years if you look at the last 3 years I had two 30% draw downs uh on in my accounts which you can see uh even like when you go to my uh Fidelity uh account even though it looks smooth here there was this 20% draw down here uh there was another 15% draw down this was a huge 24 25% draw down here and even though this looks small here this was a 30% draw down right here so you endure the draw downs I

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think that's the thing like when you have the conviction you can uh go back and uh you can you can endure that uh uh uh uh uh uh >> uh can I ask a question >> you have a lot of conviction in your system I can see um it's back tested for 42 years 42 years 42 years >> or you taking profits uh as you go or do you have so much conviction in your system that you're just going all in to make as much money as possible by compounding the profits? >> 100%. >> 100%. >> 100%. >> You're all in compounded. >> Yeah. >> Yeah. >> Yeah. >> Cuz you can never predict the

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future. Something could happen that's never happened in the in the last 50 years. But you feel still confident with conviction. conviction. conviction. >> Yeah. I might hit a 50% draw down, but if you look at it, this is all the money I made, right? like, yeah, even if it goes back to 50%, all I'm going all I'm going back is like 3 months ago because I went from 560 to almost a million dollars here in just like 3 months. Even if it even if I have a 50% draw down, yeah, I'm just going back to 3 months ago. It's not a huge deal. This is all bonus for me. I already made a lot of

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money uh in this strategy, right? So, I'm just going to let it continue. And I know how because um this is built on um very simple concepts like these. I know it is going to work. Uh because that's how the market behaves. That's there is no um other way that the market like the market tendencies cannot change, right? It's all fear and greed. Like when the people are uh fearful, they sell and then you go below the 250 moving average and when they're greedy, it comes back up and then you you participate in that. So it's based on simple concepts like that that makes it uh act to the conviction. But if I have a

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strong like if I have a very complex strategy with like oh like if the moon aligns with the earth and then Jupiter is here uh in this in this formation then go by TQQ then that's not a good strategy. It's not going to work because it's not made on the timeless market tendencies right. Um so that's why I feel very confident and I have a lot of conviction in here. >> Now Malik it's a fantastic fantastic presentation. I think you've given an excellent insight way more value than you ever than uh you ever needed to but like this is kin for this is transparency. I don't really have much else to say because I think

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you've covered everything. It's just mostly if uh to summarize if someone wants to get started in doing this other than clicking the link below to find out more information about you. How would you recommend they even started in the process that you've gone through? >> If somebody is interested in uh systematic trading, I would recommend first of all like spending time in the market doing manual trading just like how I did. Uh if you don't trade, you won't know these market tendencies. um you have to be in the uh trenches to actually feel and experience that. So the first thing is like uh start with less money like 5,000 10,000 whatever it is like you

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know very small very small money you don't care about try out all these things like swing trading if you're interested in uh position trading go try all these things and uh uh experience that pain and uh that uh happiness of when you make money right like all that thing you need first experience that then go and see uh model like during that time you'll get your own ideas and thoughts you'll be able to create your own strategies uh from your market experience. That's when you'll have a strong conviction. But if you borrow an idea from somebody else, you won't have that conviction and you're going to abandon that strategy when it is in a drawup.

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So that's my recommendation like spend some time figure out who you are. um figure out what are the what makes sense to you and then see if you can model that like learn some coding uh either Python or something like that C# or whatever that you are uh Java or whatever language you are comfortable with uh learn and then um go and model that back test keep back testing I have back tested almost 300 to 350 strategies only seven of them actually worked the rest of them are all like people say Oh, buy the dip or uh do this, right? Like breakouts or breakdowns, supports and resistance. None of them actually uh have an edge.

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Uh they don't work. They might they look like they work on the chart, but when you take all the 40 years of data and uh run that uh uh model against that, uh they don't make money. They don't they can't beat QQQ. They can't beat beat TQQQ. Uh they'll make money, but they're not as good as buy and hold of QQQ, right? So right? So right? So um you can't believe everything whatever is there uh especially on Twitter most of those strategies look like good good on maybe some specific periods of time but uh they don't look great over a long period of time like they don't have that they don't because they're not based

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on actual market like the how the market goes u and they also don't believe in the complexity like don't think that your strategy has to be super complex to make money uh I I the seven strategies that have worked for me are the simplest of the simplest strategies and uh they just work. Yeah. I mean there are some people like you know uh Jim Simons and all those guys like you know big hedge fund guys they thrive on the complexity and they have made money but I'm not them right like again as I said I have to play my own game and I let everybody else play their own game. So >> no I think

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that's the >> go on do you have any final word? I thought that was the perfect way to close out but go if you have a final final words. Um yeah, reach out to me on uh you can reach out to me on Twitter. Um my handle is uh real TQQQ trader. Um and um yeah, initially I started with TQQQ, so I just kept it as that and um I don't see a whole reason like I don't see a reason why I'll be um moving away from this strategy uh at all. So I plan to run this for the next decade, two decades. And uh yeah, right now it's a seven figure strategy and uh

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I don't see why it can be a 10igure strategy because it can scale um huge um millions and even to billions. So yeah, I'll I'll keep running this. >> We'll be I'll be following. I'm sure everyone else will be following. I'm going to be looking for the updates and I'll be seeing the updates on Kinfo, which is which is beautiful. But two two things that really stuck out to me is uh play your own game. Play to your own strengths. Um don't play someone else's game. Play your own game. I think couldn't have been said more beautifully. And the other thing is that you've tested was it 350 strategies and only seven of them. You've

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decided to look at 350 strategies that you think had a chance at working and only seven. Only seven. So you've got to do your work. Malik, thank you so much for your time. It's the probably the most informative episode we've ever done. I think it definitely delivers on the promise that we made at the start and uh check the questions and the comments in a in a in a in a week or so because I'm sure it's going to be fun. >> Awesome. Uh again, thank you very much for reaching out to me and uh it's a blast to uh share my journey and uh everything else. So um yeah, really thankful and I appreciate

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that. [Music]

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This Trader's Profits Started To EXPLODE (Kinfo's Next Millionaire)

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📅 Uploaded: 2025-05-08

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⏱️ Duration: 0:45:43

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👁️ Views: 4,366 (Rank #1 of 1)

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💬 Comments: 14

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📼 Playlist Progress: 1:31:26 of 0:45:43 (200.0%)

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👉 Check Strati's performance on Kinfo: https://kinfo.com/portfolio/27093/performance

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👉 Learn live with Strati (Inner Circle): https://bit.ly/43kVfrG

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👉 Learn more about Strati: https://www.youtube.com/watch?v=IOvfqax61q0

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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Strati went from teaching gym class to banking over $770K in trading, and he’s just getting started...

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In this episode of #UndiscoveredTraders, he breaks down the trading setups that finally clicked, and why doing the opposite to everyone else, made everything work.

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Strati gets real about his early failures, why ego nearly wrecked him, and how he studies losing trades to reverse-engineer his wins. Plus, he shares the moment it all clicked: at Jack Kellogg’s house watching top traders all get stopped out.

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If you’re curious how someone turns frustration, community, and raw self-awareness into a high-six-figure performance, this is the episode to watch.

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📖 Chapters:

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00:00 – Meet Strati: From gym teacher to full-time trader

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03:45 – COVID and the moment everything changed

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11:00 – Emotional awareness as a trading edge

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18:00 – Learning from Jack, Kyle, Tim & the community

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21:00 – Longing the squeeze: $26K on a “bad short”

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27:00 – Low volume, high conviction: how he spots winners

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38:45 – Thoughts for new traders

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🔑 Key Learnings:

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- Emotion and psychology can be stronger edges than technicals

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- Simplifying strategies often beats reinventing the wheel

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- Trading losses reveal more about your personality than the charts

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- Networking pays off (when you bring value first)

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- “Bad” short setups often offer the best long opportunities

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- Losing money teaches more than paper trading ever will

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- The best trades often work immediately, no need to “hope”

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✔️ Follow kinfo: https://x.com/Kinfo

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✔️ Follow Strati: https://x.com/Stratataaa

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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🔴 Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal

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What is your why? It kind of is to prove people wrong. Welcome to undiscovered traders. This guy is going on seven figure traders. I feel like a lot of traders fall in love with their trades and the especially penny stocks. They don't love you back. So, just be careful. It has this big red day. It has the second red day. It has the third red day. Okay. So, in my brain, I'm thinking who would wake up and think, let's short the fourth red day into support. Welcome to Undiscovered Traders, the podcast that focuses on the charts, stats, and edge of the latest six figure. And this guy is going on seven figure traders. Today we're

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talking to I don't know how to pronounce your kimp name. I'm going to go go go strata. I strata. I strata. I don't how would you say it? This was stratey and then a stratata, I guess. But I don't even like that. I might change it one day. I'm kind of over it. All right, we're going to go stratti, not strata from uh how do I say wora like Worcester? Yeah, Massachusetts. Yeah, Worcester. But yeah, I'm from near there. I don't know. Kinfo just automatically puts a place. It's way weird based on IP or something. I don't know. We'll But you're from the the state of Massachusetts. Yeah. Yeah. All right. Cool. This stuff doesn't

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matter. What does matter is this guy is up 762,000 and a cool 34.6k in the last 30 uh days. And this is on a bad this is on a bad stretch. You're you've just told us that you're going through a bad period. Amplar and you're up 34 grand in the last uh in the last 30 days and you're going through a bad patch. So tell me a little bit about that. that. that. I mean, it's it's tough to talk about money like that because I'll sound like an by like I'm only up 34K, but like if like as five red days in a row this week, okay, and still it's so that's been a struggle

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and I feel like it depends on like the opportunities in the market. This is how you should judge how much you're up. So like C has just gone from like 5 to 60 in 3 days, 4 days. You know, kids just went from a dollar to 89 bucks. So I feel like there's a lot of opportunity. So I just wish I was doing better in that regard. But in like a slower market there, that's when I'd be like, "Oh, 34K, like that's amazing." But like where I'm at now, it depends more on the market conditions. And the market's hot right now. I feel like I could be doing better. That's all. That's all I mean.

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No, no, it's totally it's totally cool. And you're you're only I heard Kyle Williams talking about something on Instagram the other day. It's like you're only as good as your most recent trades where like if you'd had say seven red trades in a row and then you just made made all that money back plus 30k, you'd be like, I'm doing great. But the fact that you made 80k and then you lost 50 of it, that's that's the bummer, right? That's the bummer. Yeah. But I just want to jump back a little bit with you. you. you. Um you were a gym teacher. Uh, how was that? It was good. I loved it. I have a

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problem with it. I always wanted to be in a school. So, not necessarily a teacher. I wanted to be like a guidance counselor, the athletic director managing the sports, but to do that, you have to start as a teacher. Like, you have to kind of work your way up. So, I said like, what's kind of how do I get into the school without having to teach kids like math or English class, right? So, that's like a gym. That's perfect for me. So I did that for a year and then co happened. So got sent home and then that's how trading kind of got its way got going that way. It's weird. Yeah. Do you think

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like you would have been trading if CO hadn't hit? No, I wouldn't I don't think it would have ever happened. So I would do it I would trade on the side like a little bit. So in like 2020, I would get home at 2:30 cuz the school day is short and I try to trade like the last hour of the day and that I had like a $1,000 account. Like I really lose 100 bucks, lose make 50 bucks. Like 2 to 4:00 was my time. Then when COVID happened, I got a chance to be full-time 8 to 4:00. I reached out to Jack Kellogg cuz I kind of knew him outside the market. So I

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have Jack and then I have being home all day. So that's when it took off. But if CO didn't happen, I don't see how I would have been here to be honest. So as bad as CO was, that's kind of selfish of me, but it was kind of a blessing in disguise, but I can't really say that. But it's kind of crazy. So So how did you get your start? Was uh did Jack those kind of low price OTC's or something like that? What were you Oh, everyone. How many times have you heard that story? Too many times. Too many times. I'm I'm one example of probably thousands where in 2020 you discovered the stock

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market and you're like I want to trade and then I traded every OTC that mentioned COVID. So a COVID stock would be like hey we're going to cure COVID or we're going to make the testing kits and they'd go two three 400%. And it's like oh this is easy. You just wait till the press release comes out and you just buy it. So I did that 2020 2021 and I probably made like 50,000 over the two years and that was I didn't for not knowing anything like I never even experienced losing at the beginning because having good mentorship in a hot market it was really hard to screw up kind of. So it's it started

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off hot and you know then it slowed down. All right. So, I've got a I read that um you made your first 10K around August September 2020 and then you lost it again. It was like I didn't I don't think I lost the whole thing. I think I drew down cuz I think it slowed down in the summer and I didn't know any better. So, like everyone says slow down in August. So, losing in August makes sense. Everything cools off but you don't know any better. So, you log on, you still try to do the same trades and then before you know it, you're losing. So that was a that was a good learning lesson

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I guess. Yeah. I mean my my biggest failure like my biggest failure in all time in trading was not adapting to markets. Not adapting when a when a pattern doesn't work. That's the number one thing that that killed me in trading. But I've got two questions for you. Uh reflecting back on that period. Uh the first one is what clicked for you to make the money. And the second one a little bit deeper is what did you learn that you could have only learned by losing? So the do you want the money for like that first run or like what we've done now? Yeah. So what what clicked for you to make the money on

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the when it first clicked? clicked? clicked? I would say just kind of learning what everybody else was doing. So like I have an a kind of an ego. So I'm always trying to do my own thing or like I want to call Jack and be like, "Hey, I have this new strategy or Tim like why don't you try this?" And like once I realized you don't have to reinvent the wheel, I think that's that was very important for me. So I just started doing all the basic strategies and like keeping it super simple cuz I always try to make things complex. Everybody used to be in a trade and it was going well and I'd

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be over here in a trade that nobody's talking about, no one's mentioned and I'd be like but if this one goes up I'm the only one in it. So that was kind of a realization is like everything in trading has already pretty much been discovered at this point. Like I started to keep it really simple and just go kind of go that route if that makes sense. No dude, it makes it makes false sense. And uh my ego is probably even worse than yours because when a position goes against me, I would think the whole market's wrong. So nah, the whole market's wrong. And and then I took a massive loss and so you've got

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your ego on both sides, right? That's it. But uh second question, what what what what uh what did you learn when you lost on that initial draw down that you could only learn from losing? Honestly, it's like you kind of got to take that pain to deal with it. Like people always say to paper trade to learn and I I just never I feel like you just learn a lot about yourself. Like forget the charts. Like I learned how I handle losing. I learned how I handle winning if that does that make sense? Like you don't really know yourself until you get kind of put in that fire like that. So I learned how to

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deal with losing as a whole. Like how do I react after I was up in a trade and then it came all the way back on me? How do I react when I've won six trades in a row? How do I what kind of person do I become when I've lost five days in a row? So I just took time to learn about myself and kind of grow on that. You know what I mean? Ah, mean? Ah, mean? Ah, hers 100% understand what you mean and it's it's really important, right? Because I think everyone always says who you are in your trading is kind of a mirror of of who we are in real life.

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So if you handle five red days pretty bad, you're probably going to not handle other things of similar stress level. Say you had like four bad days at work, you're probably going to react the same bad way of thinking like, "Fuck this I'm sick of it." You know what I mean? It it mirrors who you are in real life. life. life. Trading exposes all your real life problems with me go outside the market. Like I'm not I wouldn't say cocky, but I like to play basketball and tennis. So if I make four threes in a row in basketball, the fifth time down, I'm going to take like a half court shot. Not out of like

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cockiness, but just to push and see like what I can do because that's just kind of what my ego will say. Or in tennis, like if I'm doing well, I'll try to hit the ball between my legs. Okay. So, I've had I've been like that since I was 10 years old. So, when I start trading, right, when I start to have a little bit of success, what do I do? I I don't get cocky, but I kind of try to do stuff I shouldn't be doing just to kind of push. So, it never felt like a problem growing up until trading. So, now I've spent the last couple years dealing with that. So, I'm trying

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to grow as a person and the market kind of lets me do that, which it's really cool. Yeah. Well, if I could summarize that, it sounds like you like to you like to feel good and you're feeling good cuz when you do well good in the market, you feel good. But then you want to feel great. You want as soon as you can push it. I want to see how far I can take the good. Yeah. You want to see how great. So I like coming back down to earth and then starting over from scratch. Like the best work I do in the market is during draw down and losing. Like I study the hardest

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when things aren't going well. When things go good, I go with the flow. And then couple red days, like this weekend, I'm going to study. Like I'm not leaving my house this weekend. Like figure out what just went wrong. And then I guarantee like I'll have a good few weeks soon. And then the cycle starts over. You know, you go go and then you pull back. Okay, reset. So that's kind of been my cycle for a while. That's just how it goes. That's the I suppose that's the edge edge and technical and adapting to the market kind of side of it. But how how's your psychology when you're saying that you've noticed flaws in your

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personality that needed to grow with the market or you needed to adapt for the market? Have you felt that you could make those adaptations or do you feel like you can't can't change who you are? I think that's literally what I'm going through right now. I think I can change. I think you don't have to change yourself as a whole. You just have to find ways to use it to your advantage, right? So, what if in the future I study harder when I'm winning, right? What if when I'm losing I cool off and take a break? What if I flipped it? Like, how good would I do? So, I'm kind of just taking the energy

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that I have and trying to transform it into a good thing like outside the market. if I do good in tennis instead of trying to do some move, why don't I double down and use that energy to do a smart move and then I'm winning even more. So, I think it's all possible. I think I like what I have, but if with some tweaks, it can be a lot better. So, not changing yourself completely, but just using your energy in better places, if that makes sense. No, I mean, and and we all work on and we all need to. I mean, for me as well, when I used to take a big loss, I used

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to just drink a bottle of whiskey and and now I think like now I think why don't I drink half a bottle of whiskey maybe 6 months ago and now now now I think don't drink any whiskey. Just figure out what you did wrong and try and fix it. Do you know what I mean? But um I read somewhere that you you're not interested in Lambo money. Um I read on an Instagram post that you're not interested in making the Lambo money. money. money. Um, are you you is that is that correct or I don't like I don't see I don't know everyone's different so everyone's chasing something different like Lambo money like I listen

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let's be clear if I got Lambo money I wouldn't be mad about it okay and that if my trading gets better maybe I can get in that conversation I don't feel like I need it like it I'm just trying to have like a happy life like I have European parents who come from a village right like We're very down to earth. We don't grew up middle class like but I I also didn't grow up like super or po or either. So I don't have this like killer motivation to like make it big. I just want to like have a comfortable life and like in trading you can create any life you want. So I don't

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wake up and try to make Lambo money, but I try to build a process or a system that I'll have my whole life that I can rely on so I can just kind of cruise. You know what I mean? Yeah. I know I want to I want to let me rephrase that question. Um I was talking to some people in Argentina and uh and I was asking people what their why was why they got into trading. And if you said the reason that you wanted to get into trading was to make money to buy a Lambo, then you're not going to have the fortitude to make it. So, but I wanted to ask you what

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what what was what is your why? It would be it kind of is to prove people wrong. I feel like that's kind of why I did it. And you can also make money while doing that. So, I got into trading and I at this point I'm four or five years in and I used to tell my friends back in like 2019 2020 guys like we should check this out like who wants to do some trading with me and everyone just shot me down and I'm like I don't know like I feel like there's something here and then on top of that I'd love to help people and that's what I was in the beginning I

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told you I wanted to be a guidance counselor like an athletic director so trading kind of gave me that too cuz if I can learn how to trade in depth, I can help other traders who might be struggling. So 90% of traders lose and I wish I had like more help in the beginning. Like I had Jack, I wish I had even more. So if I can learn how to trade, I can help other people how to trade and make money at the same time. It's like a win-win win-winwin. No. And I think uh let's let's bring up your Kinfo chart and look at your overall profit chart now because what I found interesting is

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like I think your first five years you made like 100k. So you weren't one of these uh guys who did like in two years all of a sudden you were like 500k up or something like that. that. that. No it's it's very progressive. So if we go through it this was when I was trading while teaching right? So it was right around co right around here I was home. So this is when I got to learn about OTC's a little bit and you can see like there was never really any drawback because it was at that point like I said if you found a co PR or something like it wasn't hard to do. Okay,

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especially if you were surrounded by other good traders basically calling it out like at that point I was taking calls from people. Anything Jack said I was trying to buy, right? Like I feel like that's what everyone was doing at the time. And then what happened is you start to realize that that's not reality. So January 2022, everything cools off. So OTC's died out. A bunch of new rules came out about OTC's. And at this point, what have I done? I'm not going back to my gym teaching job. I have just enough profits to keep me in the game. You know, I'm still living at home. So what do we do now? We have to

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adapt. So I tried I spent a year here just trying everything. This is when I learned from as many new people as I could. So like along this journey I've learned like I'm a big Tim Sykes guy. I've spent years learning in the challenge program. But I've also taken time to learn from all the big people on Twitter. Like the short bear has amazing videos on YouTube. I go through his whole library. You know, I worked with Dan Irish for a couple months, so I learned his strategy about structures. I would talk to Bryce Tui before, Matt Monaco, like uh there's a guy on Twitter I wanted to shout out JD Trades. Like he is

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one of the most consistent traders on Twitter. Kais is a big name too. So I've taken time especially in that period to learn from a lot of people and even now. So that happened and at the end of the day you have to make your own connection. So you can learn from whoever you want but when you're sitting in your room alone at night like and there's no one there's no chat rooms there's nothing going on you have to still be able to make your own connections and kind of tie everything together. So towards the end of 2022, I spent 12 months, no profit, just breaking even, staying alive, right? And then I kind of

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had a revelation. So it's a funny story. I was at Giant Kellogg's house. He was on the phone with Kyle Williams, who's a goat in my eyes. I should have shouted him out, too. It was him, Kyle Williams, and my good friend Ben Jamon that a few people know. and the three of them were in a short together. Okay, it was a very standard first red. I don't remember what exactly the setup was. It was something that you should short and I'm watching it. I'm not in a trade and the thing it's just not breaking down. Okay, every time it goes to crack low of day, they're like, "This is the moment. This is the

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moment." And it didn't. Okay. And I love them to death, but I was laughing. So at by the end the thing swiped up to high a day, right? So one after another, Ben's like, "Eh, I'm going to stop out." And then Jack's like, "You know, this. I'm going to stop out." Then Kyle stops out. And it was that day, I'll never forget that day where I was like, "There could be some What if you can identify like bad not not like I don't want to call it bad short setups, but short setups that aren't working that day?" and can you just capitalize on the the momentum and the shift and just take advantage of those

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emotions. So that was around January 23 and once I kind of figured out emotion trading a lot more that's kind of when I had my jump and then it's been pretty much cruising since then. since then. since then. That's absolutely wild. But I mean so what's interesting I've got two I've got a lot of questions for you. The first one is kind of how I'm scared I'm going to forget them because I've got I've got a few things. But the first one is like how how do you approach the like a lot of people are going to think like there's a thing with there's a thing with networking in general that everyone wants to know

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someone better than them and people don't really everyone wants to get ahead and not many people want to help others unless you're right at the top then you might reach out to a couple of people. So like how are you reaching out and making the connections because like are people not just being like off basically or no I don't have time or it depends on the specific situation. So I was always willing to pay like uh JD had a room a year ago I was in the there Kyle and Dom and had their conference so I went to Arizona and just paid for it and sat at the Dom and Huddy conference. I think it

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was like three years ago. I've been in the Tim Sykes challenge so paid for that. So, I had no problem like ever paying for that experience. And then when you start to get friendly, like all these guys were down to earth, too. So, once you start providing value, they'll provide value back. So, like the worst thing you could do is get to know some of these traders and ask a ton of questions and then like don't say thank you or don't offer anything back, right? Don't be transparent. Be honest. Like I feel like a lot of people on Twitter will tweet a big trader like Nate or something and they'll be like, "Hey, what do

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you think about this?" And they'll give you an answer. They they're like they don't answer back and say they just tell you to off. So I've always just tried to be like personable and try to relate to them and give them my opinions on trades or like I could tell Jack all the time now, hey, I kind of don't like your short. I kind of want to long it. Why don't you be careful with your short? Right. And this is Jack Kellogg we're talking here. But I if he does if I can save him from getting squeezed one time, maybe then he'll offer me something, you know? So just the circle of life, you know.

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The trading community is already pretty violent and like people are always mean to each other and fighting like just just be like yourself and be down to earth, you know, have a conversation. I think that's actually fantastic advice. Um because I always saw people like trying to get to know people online and get things from people and I just I was never felt comfortable with that being the way and I was thinking how do you do it and it it is a case of just going to people's conferences meeting them face to face paying for it paying for the first experience and just saying and and getting to know them and then you can say

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look I was at your conference I'm paying for your room show that you show that you're driven and they'll think this guy I've met him in person he's driven there's not that many other people like that so they'll start to help you a little bit more I think just something like like Big Kyle. I love that guy. Like I went they happened to come to Boston for the Dom and not Clover. They're Clover now. And they had a Clover conference in Boston and I had no problem going to that, you know, posting on Instagram. I'm at the Clover helping them out. You know, what whatever you can do in any community. Like I love shouting

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out Tim Sykes. My Twitter is like all Tim Sykes cuz he helped me get started and now we're just cruising. So, I I'll shout out anyone who helps me and I'll try to give them what they can, too. It's equal. No, that that's exactly right. And and the irony is um the strategy that made you this 600k in the last two years. Like it did you you said that you came across this on a youa moment. So, you spent a lot of time learning everyone else's strategy, but in the end, you kind of figured your own out. Is that is that it? the everybody else's strategies created this ball of stratey and that's kind of

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how it happened. So yeah, I like I said, I spent six months with like each person, not even talking to them every day. Just just say I could go study Kyle's tweets from the last month. He does a a monthly review every month on YouTube. They get a ton of hits. You can just see what he's trading and then you can kind of start to guess like, all right, he's in this, he's in that. um learning what Jack traded, learning what Tim trades, learning what Nate traded. I love Nate, too. And then, yeah, you put it all together. So, what I used to do is I would see Nate's watch list on IU, okay? And

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he would have all the short setups that he's watching that day. And I wouldn't be an and be like, I'm just going to wake up and try to long these cuz you're just fighting the trend. You're asking for pain. But you can say, "Hey, let's just keep an eye on it, right? Let's see how Nate's trades are doing, right? Let's see how Jack's doing." And then that's kind of how I got my edge cuz, and the reality is 90% of traders lose. So if you can find their setups and you just see how it's going, like more times than not, like the average trader is going to lose. So you just kind of have to

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bet against it. That makes sense. Yeah. But it's like that poker analogy where they're kind of probably already in the trade. It's like the poker player like who is closest to the button knows knows the most information. Like all these traders have already made their trades and you're sitting here thinking with all of this extra information I can see that this might be the one that doesn't work. But I don't want to I I always feel weird talking about it because I feel like it comes off like an But there are plenty of times when I try to do something like that and my trades fade. A lot of my losses come from uh light

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volume or no squeezes happening and you're caught with the size and then nothing happens. So there's plenty of times when they're laughing at me. Okay. So it it's a back and forth game, but it's just riskreward. So you take a shot and if you're wrong, you cut it quickly and if you're right, you let it ride. So it ends up working out. But I feel bad being like, "Oh, I I look at people's watches and squeeze them because it's not how it is." But, you know, traders get stubborn, too. So, if they're on the short and, you know, your short should be fading by 10:00, right? 10:30 and it's still not, who's going to be

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stubborn enough to hold and who's going to get caught on on an uphalt? You know what I mean? I mean, at the end of the day, trading is ultimately a zero sum game except worse because brokers are taking cuts of locates and commissions out of it, making it worse than a zero sum game. you are in battle against others. So, I don't think there's any problem. You're not an at all to look to exploit another trader's weakness. As long as you're not going like, "Hey, you." Like, as long as you're not doing that to people's faces, which obviously you're not. You just playing the game. Oh, no. Cuz the majority of the time, those squeezes

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have a lot of clues beforehand. So, like like I said, not breaking down after a certain amount of times. Like every time a stock goes to break low of day, it breaks it by a penny and comes back up. and people get more frustrated, right? So, and the way I learned that too besides watching them go through the ups and downs is your own trades. So, if I'm a long biased trader, it works that way too. I almost think these are the best shorts. If I long something and my friends long and my other friends long and my other friends long and we're all big size and it goes to break high a day by

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a penny, okay? And it doesn't. And then it goes to break high a day by a penny again and it doesn't. And now it's like two hours into the trading day. So now we have all these ads. We've gotten big and it won't break down. One of us is going to blink and sell it. And then eventually the next guy and the next guy and we roll over to low of day. Okay? So a short seller could have did the same thing to us and said, "I'm going to watch you trade this first green day or this breakout and it better freaking break out because if it doesn't, all you people with size are going

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to get caught up." And that's it. That's the game we play. You know, you have to have uh a bias and then who can lose the bias if it's wrong or not have an ego about it. You know, You know, You know, you never think about playing at both sides, both sides of the coin. How you doing? I'm not I'm not ready yet to start splitting. I still like I said, I still have my problems. So, I'm no perfect trader either. What problems? I would say like these draw downs are still too big like you said like the 30 40K I feel like to uh to be shorting you really have to be on your

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game. I do a lot of oversizing so because I'm kind of confused. I'm still this is my next question for the next year coming up is a lot of the big traders say the good trades just work right away. Okay, that's been my and I'm like yeah that makes sense. When I buy a stock and it perks it should just go. Dan Irish was always big on that too. He was like, "When I buy this perk out of consolidation, there's no looking back." Okay, so in theory, what I think is, okay, why wouldn't you go overload your size because it's not supposed to come back, so just get it in, you know? But when it

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doesn't work, you're caught with the size and then you have to sell and you start to take slippage. So I'm kind of tripped up on how much size do I take if the trade isn't supposed to come back. So, I'm starting to learn new size for worst case scenario. So, if I already have an oversizing issue and I'm not confident on it yet, the last thing I feel like I should be doing is trying to short tops. God, I don't think I'm ready yet. And that's just me being honest with myself. So, it is what it is. Uh I mean, how many short sellers have got a problem with not cutting losses on the way

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up? It's it's the main reason these squeezes happen. But, have you got any charts? I'd like to see uh do you have any examples of of some of these these these trades? I I think I think your strategy is unique. It it it makes a I think I heard possibly I heard Tang Do you remember Tango Baker? I know the name. I never trade with him or anything. Yeah. H he's called Tango Baker because he dances Tango and he's got a bakery. So that's a fun fact about him. He he at some times I think mentioned something similar to looking for squeeze points and and taking them long. But you're the first person I've spoke

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to on Ken for any podcast that specifically has this as a strategy. So be curious to to show a couple of examples to help people. So there's a couple ways you can do it. So this was uh one of my biggest trades of April. I think I nailed I think it was like 26,000. So it's not it's just a game we play, right? So AR I love trading the the Tim Sykes framework. So it's like the number one the big day of consolidation. uh sorry the big day where it pops up there's a little consolidation day I traded this breakout a little bit the one the two but this is where I'm the most comfortable

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trading and it's a little I don't know if it's unique but this is when I'm comfortable so it has this big red day it has the second red day it has the third red day okay so in my brain I'm thinking who would wake up and think let's short the fourth red day into support. So that's the little lens that I build for myself to give me some conviction. So if it's a bad short in theory, wouldn't it be a good long, right? So who is waking up and still short? Or if you're swing short for 4 days, like you're already up 14 $15 a share like now I think you're getting greedy, right? So

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there's there's two kinds of squeezes in my opinion. There's the fear squeeze and the greed squeeze. So, the fear squeeze is when the stock is already up a lot. You're trying to short it and you cover and you stop out. But then there's the greed squeeze where you're up a lot and you've won fair and square. I'm not trying to squeeze you for a loss. You you've done the job and now your ego or your greediness is keeping you in too long. So, if you're short from we'll give you 18. We'll give you maybe even 20. Uh average trader right here 16 bucks. If you're short 16 bucks a share, one day, two day, three

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day, you've gotten $11 a share. If you have not covered, what do you what more do you really want? Right? So that's when I come in and right into this day, I'm like, the second I have some riskreward, anyone who's still short, I feel like this is could be a good shot on top of being your standard bounce first green day pattern. So there's a lot of things going for this one. So, I got along right into here when this volume comes in and my risk was just on this little level. So, you're only risking, you know, 30 40 cents with that upside like we talked about to go all the way back up here.

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And this day, yeah, I was right here. I think I made about 26,000 just selling into strength. But you kind of see the thesis is, well, if you if it's a bad short, then what's left to do? And this is one of the biggest runners of April. So that's kind of where my game comes in. comes in. comes in. Yeah. It's what I what I like about this is uh everyone's so focused on on the day ones like the day ones longs, the day one shorts, the hot stock, and you're looking at something that everyone else everyone else everyone else is most of the crowd have forgotten about. And that volume looks like nothing. The

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volume almost looks scary to me to take a big position in. Right. Well, that's where I have to that's where my slippage comes in. So, my win rate's very low. So, like a 38% win rate and these draw downs do happen. So, that's why I'm trying to tweak it a little more. So, this isn't my I think if we were to talk again in a year, like I'm hoping to clean it up a little bit. But, if it's scary volume for me, wouldn't it in theory be more scary volume for someone who's short with a 100,000 shares? Yeah, it's a fantastic more more more who's more scared. So, yeah, I'll lose 30 cents if I'm

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wrong, but the upside is a lot bigger. So, we're trying to find trades where the volume has dried up. Like, most people say low volume is a bad thing. I would say it's bad for someone. Who is it really bad for at the time, but like I said, 40% win rate, if not like 38. And I take slippage sometimes. And I have my draw downs, too. So, I can't sit here and be like I'm perfect or anything, but when these trades work and you're on the right side, they the upside's insane. And when $6 a share in 20 minutes, you can't beat that. That must be one of the best feelings in the world when

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you see a live volume stock skipping a halting time after time just knowing that shorts have got massive size. There's not much better feeling than that. than that. than that. But like I said, they're they they're not getting squeezed for a loss that they're just it's time to it's time to cover. I think T+1 is a big term in uh shorting or the the broker will give you one to two days to cover. So if it hasn't hasn't hasn't faded within two or three days that they're going to buy you back in, but that's a part of the game I'm I'm still learning myself, too. So there's a lot to it. No, but yeah, the

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thing with you is you you say things that sound like complete common sense that most people haven't thought about until they hear it. Uh, which is one thing that one reason why I think this podcast will be will will do well. Um, do you have a do you have a second setup? And then I want to leave people with just these two because I think the lessons that you've gi like I don't want to dilute them anymore. Oh yeah, I see. that doesn't bother me cuz like I I just read uh best loser wins by Tom Hoggart and he was like now you people can share charts they can study edges like they they the

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brokers offer the best resources in the world yet still 90% of people lose so like diluting charts it doesn't really bother me like 90% of traders lose because of psychology so you could share I think I'm pretty convinced you could share your whole ledge And Paul Maggie shares his stuff on YouTube. Shorebear shares a lot on YouTube. And no, a lot of the big names don't really care about being transparent because people can learn it as much as they want. They're still going to screw it up because of psychology. So I don't mind. But uh the second one, I sounded like an because I say I try to squeeze George. Sometimes there's just really good

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long setups, too. And I don't want to over complicate things either. So was this month. Um this was the first green day and then we had a breakout a very simple daily chart breakout. So this is when you know take the long just be cautious that's all. So it was this day uh we're breaking out. We're breaking out on the daily chart. Massive volume has come back back back in. And so this is where I could be an and be like let me try to short it. But no like don't short the first day of a breakout. Let's see if we can find like a long position. So I think I bought it into here

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into the close risking 73. So I think yeah it was right around 80. So I was risking 7 cents. I think I sold like a dollar a $110 made like 3:1 4 to one on my money. And I didn't even I missed this whole move too. So I have a lot of work to do. But I I do it based off riskreward. So I was only risking 67 cents and like I said I got 20 25 cents. So that was plenty for me and that's that's good money. So took that. But uh one of the questions I wanted to ask you before was uh when you're buying these say it's like a dramatic volatile move

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to the upside. It has three days red. Are you taking into account dilution to think ah is this heavily diluted? Maybe I don't want to dip by it or you know not bothered. I probably should. Yeah. So, you're not even looking at dilution and still doesn't matter cuz overwhelming people are short. No, because the way I perceive I think listen and in a year or two I could have a different answer for you. We're just going with what I have now. And I'm I just think everything is a game. It's like a video game. So if there is a lot of dilution, right, there's going to be a lot of shorts in it and the

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market makers know that and can still drive price up. So I'd almost kind of argue very skeptical that you want to trade stocks with some dilution because there are big money players were short for that reason and that's going to cause squeezes too. Now, I'm not telling someone to go on dilution tracker and find the most worst company in the world and long it, but I wouldn't be scared if I know there's a lot of shorts involved in potential dilution. It's not going to stop me from taking a chance. But that could be different in a couple years. So, we'll see. Now, you said something really interesting before. You said that um you could show

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all of your charts in Quo Magi. Quoam McGee. Quoam Magi does as well. and Shaw Bear shows a lot of his stuff and uh still people wouldn't be able to exploit the edge because it's a psychology thing. So what I want to ask you is why do you succeed when 90% fail? What's different about you? I don't like talking about I myself but I feel like I understand emotion very well. well. well. So like I I that example I used with my friends all being long the same thing. Like I've felt pain from losing when I was oversized in a trade and questioning why things didn't work. And instead of getting mad about it, I

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feel like I'm open to learning how it worked out, what hap what went wrong, what happened instead of just raging off and being mad about it. So I feel like people who are successful, they ask like why a lot. So you ask why, you find whatever answers you can and then you try to use it to your advantage. So I used to lose on longs all the time and they were perfect first green days and they were perfect breakouts and they had catalysts and they had everything and they would break Kai day by a penny and they would fail and I felt that pain for years. So what did I do? I started to learn

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other setups and see how they go. So when I see the chart where it breaks low of day by a penny, breaks low of day by a penny, I I can relate to the pain that they might be feeling and you have to take advantage of it. So I I feel like I just I'm emotionally aware of other people if I had to say something. And in terms of a breakout are you're looking for I also hear a lot of people talking about like it's often to be successful in trading it's not the common things that you like it's not because sometimes you can say you just need to do the basics right you just

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need to do the the right setup the first green day trade the breakout make sure it's got a cat list make sure it's got a low float some people will say trade the basics and you'll get it right but then someone like you is saying nah you've got to look for this part of the price action that's quite unique and if that level doesn't hold and then it pops back Well, you have a bias, right? So, if you see a first green day, trade the first green day that don't complicate it. You're not no one's trying to be cheeky and short. Don't short first green days. Okay? But you should study how they work, how

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good first green days look. Good first green days make fresh highs, just like good first red days make fresh slows. And you when you see a lot of people convicted in something and it's not doing that, you have to react before they do. So when I'm in my first green days and all my friends are in it, like not for nothing, if it's failed to break Kai day four times and it's now midday, I'm just bailing. I'm not waiting till my stop. I This isn't working because two days ago, ARB that I just showed you swiped up six bucks in 10 minutes. Those that's a good one. That worked, right? So you have to you

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have to have experience with your work your you have to study your winners and study your losers and find the common denominators. You know my winners kept going and just kept working. My losers stuff stuff stuff. So shorts when they're when they're loser stuff stuff stuff stuff stuff I just buy it. But if there's a stock just fading all day no I'm not stepping in front of it. No I'm not trying to question it. They won. They deserve it. They studied and that that's it. No no no ego. Yeah, know it make it makes a lot of sense. Uh I can't help but relate it a lot to my to my trading as well, but

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it's like for you it's a case of learn a lot of different setups, monitor which ones are working in any market environment and and go with it without bias or emotion. Basically, that there's no bias. No mo just know what should be happening versus what's actually happening. That's a big one, too. Everyone wait goes to bed at night and they're like, "This breakout's going to gap up. this breakout is the best breakout I've ever seen. It's going to gap up. And then they wake up and it hasn't gapped up and there's no volume, but they'll still call you and tell you it's going to go. It's going to go. They're so like in denial about

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their trade plan. And then it rolls over and they're like, "How did this go so wrong? I don't understand." So just just know what what's happening versus what you your perception. And I feel like a lot of traders fall in love with their trades and the especially penny stocks. They don't love you back. So just be careful. Yeah. No, it's it's great advice. I think the entire the entire podcast has been fantastic. It's something people should probably watch twice. You you said earlier that um you did some a lot of kind of events. Uh, is it NSA builds that you did and you've done some stuff with a lot of people on Ken for with

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Kyle Laptop Legend? Yeah. So, I've I've done I've been to all of them. Tim conferences. The Tom and Huddy was a big one. Clover I've been to. So, now we have Inner Circle and I work a lot with Tim Sykes. So, Inner Circle we travel around. So, there's like these like uh private challenge students and we go four places a year. So, like we're going to Mexico next week. We were just in Tampa. We have Positano in June. So Tim basically rents out these like sick places and these students come and we all hang out. So I kind of run that but not being a millionaire trader like I try to help them with psychology

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and stuff but all the time we get like I have Jack come and David come like a laptop legend comes and helps out a lot. Mari comes, uh JCP comes. So, we've built like this inner circle where we talk every day and help out and then four times a year we all just hang out and it's that's been really cool to meet new traders that way. So, that's what I've been up to lately. N sounds cool. Uh I'll put a link in the in the description for that. So, if anyone's interested, they can check it out. But other than that, uh it's been fascinating to talk to you. We actually knew each other before, but

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we didn't fully know that we knew each other. But we've actually been in chat rooms back in the Dan Irish days. Have you got any uh final final words of wisdom or to close out? I would just tell people like try everything and just try to make some kind of connection. Like everything I just said could be gibberish to you and you're going to teach me something and it's gibberish to me. Like I still don't understand what some people do, but if it works for you, it works for you. Like I could have pulled up that ARB chart and somebody else out there could give me a completely different lens and thesis for that trade

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and that's cool. You just have to take the time to find what works for you and make it make sense in your head and you'll you'll do all right. Nice. Uh I have no doubt that I don't want to jinx anything or touch but uh I want to get you back on when you pass 2 million because I think it's uh it's not going to be too far in the future. But thanks for your time. Thank you.

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Trader turned $280 → $500K - Then Kicked Out of U.S. Investing Championship

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📅 Uploaded: 2026-01-15

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⏱️ Duration: 0:48:34

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👁️ Views: 83,978 (Rank #1 of 1)

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💬 Comments: 290

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📼 Playlist Progress: 1:37:08 of 0:48:34 (200.0%)

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👉 Check Trader YC's performance on Kinfo: https://kinfo.com/portfolio/86064/performance

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👉 Learn more about YC: https://chill-trading.com/

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👉 Get 1 month free kinfo PRO and PRO+ here: https://kinfo.com/kinfo-pro/

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YC, also known as Chill Trading, joins Undiscovered Traders after completing one of the most extreme small account challenges we’ve ever seen.

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Starting with just $280, YC scaled his account to nearly half a million dollars in six months, with every trade fully verified on Kinfo. In this episode, he walks through the challenge step by step, sharing live trading recordings, month-by-month performance, and the decision-making process behind trading under constant pressure - where a single bad day could have ended everything.

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YC also shares what happened after he entered the United States Investing Championship using the same account. After breaking the competition’s return record and ranking first for multiple months, his results were suddenly questioned and he was removed from the standings. YC explains why he believes the competition lacks a real verification process, how results are handled, and why his performance became a problem.

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📖 Chapters:

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00:00 - Intro

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02:01 - YC’s background and previous small account challenge

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03:27 - Trading style

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05:38 - The $280 small account challenge

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07:15 - First trading day: live breakdown and execution

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10:42 - Scaling the account and entering the US Investing Championship

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14:14 - Live breakdown: $YOUL

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23:04 - Completing the $280 challenge and final results

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24:21 - Advice for beginners

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31:22 - What happened at the US Investing Championship

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✔️ Follow YC: https://x.com/ChillTrading_YC

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✔️ Follow Kinfo: https://x.com/Kinfo

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✔️ Follow Stephen Johnson: https://x.com/Jonk87

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🔴 Review important disclosure information before watching this video: https://kinfo.com/risk-disclosure

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how to verify my trades, what is kinfo, what are verified trades, who are verified traders, third party verification, verify millionaire traders, why trading verification, can verification on kinfo be gamed, is kinfo legit, can kinfo be cheated, can i see performance breakdown of, how to trade, verified day trading, verified swing trading, verified option trading, can trade verification be trusted, transparent trader, millionaire transparent trader, what is furu, why is my furu not on kinfo, trade journal, trade journaling, how to write a trading journal #UndiscoveredTraders #DayTrading #SmallAccountChallenge #VerifiedTrading #TradingPodcast #Kinfo #MomentumTrading #Transparency #chatwithtraders #jonk87

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This trader turned $280 into nearly half a million dollars in 6 months, completing the ultimate small account challenge. His results were so impressive that he broke the United States investing championship records. He was literally removed from first place in the competition after achieving a return of investment of 178,000%. But all of his results are verified on Kimo. and he's going to walk us through his live recordings to explain how he did it. And he won't stop there because he's exposing the US investing championship and its founder. Removing me is the easiest way for him to continue his business. Welcome to Undiscovered Traders, where we unveil the upcoming 7 figure traders. Today we're actually with Trader

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YC from Hong Kong who has completed something extraordinary. A verified small account challenge starting with $280. Yes, $280 and he's grown it into almost half a million and that is in verified profits. Uh YC also recently took part in the United States Investing Championship where he turned an ROI of a trading account. He grew by 1,967%. Uh, I'm gonna let Trader YC talk us through a PowerPoint he's prepared, which is going to be full of his performance, his month-by-month growth, uh, some tips and tricks and and an insight to the truth about the United States Investing Championship. But first of all, YC, how are you? >> Hi, Stephen. Thanks for having me today. How are

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you? >> I'm very good. So, look, I think everyone's going to be wanting to know your knowledge of how to grow a $280 account into half a million. You you've you've you've you've achieved the dream that a lot of people want to to to achieve. So, I'm going to let you just go into it. Start when you're ready. >> Okay. It's a pleasure to be here. So, uh these are the topic that I'm going to talk about today. So um to start with my trading profit, I am at seven figures all time right now and I have posted two small account challenge publicly and the first was in 2020. I turned 1,000 to 50,000 in

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two months and the second time is this year I turned $280 to half a million in five months. So I will share a bit of my story. Uh back in university, I randomly came across day trading on the internet and I thought the lifestyle was so cool. I start getting interested and watch a lot of YouTube videos about day trading. So in the beginning in 2017, I was just trying things out on and off by myself because I was still in school and I was using my own saving and I and I actually lost around total of 15,000 which was painful but part of the process at that time. After a lot of practice and

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adjusting then I finally become stable and profitable in around 2018. So back in the trading results, um I'm at seven figures right now, but not everyone feels comfortable share everything publicly. So my small account challenge is what I usually choose to show that I'm profitable to the public. Um in terms of my trading style, when I first started, I focus only in US stock, one minute chart, and long bias. And I use candlestick pattern, level two, hot keys, and indicators. After I became more stable and understand the markets better, I slowly add short setup and some longer holding trade into my trading style. And right now around 60 to 70% of my trades are on

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the long side and the rest are shorts. And it also depends on the market condition. For holding times, most of my longs are under 5 minute on the short side. They are usually less than an hour. I also use very tight stop-loss. I don't like holding losing trades. If a trade doesn't move in the direction I expect, I get out quickly. So, that's pretty much my trading style. >> How did you How did you choose long or short? I'll learn both. >> I actually start with uh long bias. So most of my trades in the in my early years are long bias and I only add in more short uh maybe recent 3 to four

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years. years. years. >> And and what types of trades are you taking long? Is it kind of hot sector momentum? momentum? momentum? >> Yeah, for my long is usually momentum uh like breakout and more high volume and high volatility uh stock. So I'm usually doing a uh in a very short time frame. So I'm using one minute chart >> like whatever's got volume, whatever's hot. Is it generally more small cap than large cap? large cap? large cap? >> Yeah, usually small cap because the fault is uh lower. So usually their volatility is much higher. >> Beautiful. And just one more question. How do you identify a good setup, a good long setup? Those will be

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based on my strategy and some of the candlestick pattern that's showing on the chart and when I try to end entered the trade I will look at the level two. >> Perfect. We'll see some examples. So I'll let you continue. >> Uh so now I'm going to talk about my small account challenge. Uh in May I happen to open a trading account with a new broker. I only put in a small amount of money like about 2,000 to test out the execution speed and the short. Okay. So during that period when I was uh still trying things out so I lose some money and the account dropped to under $300. Then I suddenly have an

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idea. I decide to turn the remaining $280 into a new small account challenge. I want to prove myself again and also respond to the stereotype online that you need a lot of money to make a profit. But starting with only $280 is pretty tight. There's almost no room for the mistake uh at the beginning. So, but to speed it up, I use some leverage in the early stage, which also meant I could only trade setup that I am very confident about cuz one bad day can end the entire challenge. For the broker, I use a broker that doesn't have a PDD rules and there is a six time leverage. It is very common for day

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trader to use leverage, but I only use some of it when my account was still small. Some people say that leverage is very dangerous, but if you truly understand how to use it, it is just a tool to help you reach your goal faster. And as the account grows, I do not need to use it anymore because I don't need to be in a full-size position all the time. time. time. So now I will show uh a short of the first day of the challenge. You can see that uh it's May 28th and it's around 700 a.m. And this are the stock that I'm trading as PO and this is the chart. This is the

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level two time and sales and these are the trades. the trades. the trades. So in this trade, I'm trying to enter a dip by in the reward area. So I just got in with 200 shares. The number is not that excited because the account is still pretty small. The account is just at around 280 bucks at that day. So I bought in 200 shares at around 1.45. 45 1.45. 45 1.45. 45 and I'm looking for it to break uh the high of the day. So I can see that the reversal happened. So I added more. I'm now putting 400 shares shares shares and right now it's 500 and I want to see it to break

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the high of the day around 1.8. Uh is there any reason you end this stock? Is there any like outside reason other than the price action? >> Uh there is a breaking news on the stock. Usually if they start to gapping up in pre-market usually they have a breaking news and I would I usually trade those stock. Yeah. So it's like the first pullback on break news. break news. break news. >> Yeah. And I will just wait for it to break around 1.8. eight and I usually will sell it into the strength. So it actually broke 1.8 and it squeezed to 1.9 to 1.9 to 1.9 and I took profit at 1.9 and I did

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a quick sculp quick sculp quick sculp for 100 shares on the next candle. So I made around uh 160 bucks on that trade. So you can see the daily P&L right now is 272. So I almost double the account double my uh 280 uh 280 uh 280 small account. So because there's a leverage on the next day my buying power will also double. So I can take a much bigger size the next day. So this is how uh a small account with lef can go pretty fast. pretty fast. pretty fast. Beautiful. Uh does the daily matter much for you? Does the uh do you take into account the daily chart much or if it's got

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volume and it's running and it's got news that's what matters? >> I usually look at the daily chart and uh one minute chart. I try to find resistance and support in the daily chart and I usually draw it out on the charts so I can look look at it when I'm trading. trading. trading. >> Nice. >> Nice. >> Nice. >> But I don't trade on day chart. I just uh use it for looking at resistance and support. So in about two weeks I had already turned the account to $20,000. That was when I took this account and enter enter enter um the um the um the uh U United States Investing Championship Championship Championship uh

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which I'm going to talk about talk about later. about later. about later. As the account grows, I was gradually adding size. So the account actually reached 200,000 by the end of July. And here is the pullback. So August was pretty slow for me. there was not much going on in the small cap market which is pretty normal in the summer. So maybe I should have taken a break and so by the end of August my balance was 164,000 and you can see this is my monthly P&L and in September we can see there is a very big upswing in my P&L because the day trading market hits up again. There is this stock called OCTO

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actually went up 6,000% in a single day. I only caught a small part of it and made around $18,000 on that stock cuz the market has been cold at that time and I had low expectation going into that day. But then I was well prepared the next day knowing the market would definitely heat up after that stock. So, I made 50,000 the next day trading CWD and a few others ticker. And CWD actually went up 2,500% in premarket with huge volume. And the next day, we had WLDS going up 1,000%. 1,000%. 1,000%. And as a day trader, we hunt for volatility and volume, and that's exactly what we want to see. So, I end up

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making $240,000 in a month. I got some more clips to share with you as well. >> Incredible. H can I just ask like most traders don't know when to slow down and when to speed it up in the market. How do you know? How do you know? >> Um >> Um >> Um sometimes it it it actually takes time. So in August I did really bad on the first day first day first day and so going into the next week I did bad again on Monday. So I actually kind of feel that oh this month is kind of slow. So I actually uh take a smaller size and be more careful about what trade I

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takes. So for the next for the whole months I have been more um try to be more careful so I didn't lose in some uh big tray and for September um because there is a holiday on Monday so it is still very slow but on September 8th uh because I saw the stock OCTO went up 6,000% then and I got that the next day people are going to be very formal of what they missed yesterday. So I know that the market is going to heat up. Uh so in pre-market I try to be more aggressive and take some larger size and be more aggressive. So right here is a trade in September when the markets

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heat up again. And I'm trading this stock called YUL. called YUL. called YUL. And let's take a look. So, this stock is squeezing higher, but I don't want to take a trade at the top. I don't want to risking buying at the top, and it certainly dropped a lot. So, I'm waiting for a pullback. So, right here, I saw a pullback and I got in for 6,000 shares. You can see my size is is bigger than my last trade because the account has grown uh bigger. So right here I'm looking for it to break uh fall and squeeze higher. And because I know the market is really hot and the momentum is going uh is

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trending up on this stock after breaking fall, I will still look for more. So I just saw a big order in level two in the bit. So I think there's a support downstairs downstairs downstairs and I know that some short seller may short in like this candle and you can see the volume is spiking up. So the short seller will get squeezed out at this time. And at this time I tried to add more but I didn't get to fill the whole position. So I tried to bought in another six another 2,000 shares at 4.41 but it only do a partial fill and it breaks out again and I sold my whole position at around

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4.6. six, which makes about 5,000 bucks on this tree. It's uh it's beautiful, but I'm just curious if a beginner trader tried to do that, they would definitely lose and it would and they would be chasing. >> So, >> So, >> So, >> yeah. You think they would buy at the top of this candle? >> No, but you're buying a stock that's went from two to three and you're buying it at three and taking it to four. So if I saw a beginner do this and I didn't know the chart, I would say the beginner is chasing. So how are you not chasing and how is this an A++ setup on the first candle is

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kind of extended. The price action is kind of extended. I I wouldn't buy right I wouldn't buy it right here because in a one minute chart this is kind of extended extended extended and if you bought it right here is considered a top for me at that moment. So I'm looking for a pullback at least a small pullback so I can get in in a uh spot that is have a lower risk. So I wait for another uh candlestick to appear and I wait for a pullback. So I got in got in got in at a lower risk price. So maybe ideally I can divide until it reach uh 3.5 but because the momentum is

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uh really hot on that day I just got in a bit early. >> Yeah. So you can see it almost uh pull back to 3.5 but because the momentum is still there and I know that on this day the market going to be hot because the day before this day is where there's a stock go up 6,000%. So my guess is that on this day whatever local stock that has a good catalyst, good news, good breaking news, they might spy up a lot and because uh some short uh seller maybe they short it in the previous candle when the uh price actually go up that much with high volume it will squeeze out some short

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seller. So I'm looking for more after it breaks four. breaks four. breaks four. >> Yeah. So, cuz 99% of the time you can't do this, but you can do it if there's a 6,000% runner the day before. So, it's really time specific. Not only that day, but because September the whole month is really hot, there more opportunity. So, I did very well in September. Ah, beautiful. Right here is another on CWD. CWD. CWD. Uh you can see the previous candle have a rejection a rejection a rejection but as it is the momentum is still very upside. So I'm actually looking for a deep buy instead of thinking it will drop again. drop again. drop again.

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So, I actually bought in 2,000 shares at around uh 12.5 and I want to see a reversal. And we can see that the price action is showing is likely going to be a reversal after I uh bought in. So, I'm pretty confident about this trade. So, I will add more on the way up. You can see I just added another thousand shares at this area this area this area and it went up to 14 and and and the new candle cames up and I want to add another thousand shares right here before it breaking the high of the day price level. price level. price level. So after I bought in the thousand shares, it break

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out and I tried to sold all of them at 15, but I only got a partial feel. So I uh immediately got out at 14.7. And this trade uh makes around 6,000 bucks. bucks. bucks. And right here, I am looking for a uh trade that's actually on the short side. So, I'm looking for shorting this EMC after it breaks two. So, right here it breaks two and I am in a short right now for 6,500 shares at around around two and now it's 7,500. And the uh profit taking area I am aiming for around this area around 1.7. And on this kind of trade I sometimes took profit on the way down. I might take

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some partial profit on the way down. Uh, we need to look at the right side right now because I switch to another ticker on the left side. Right side is the one that I'm trading. So, I take around a partial profit around 1.83 for 2,000 shares and I'm still holding around 5,000 shares. And I want to see it drop to around this 1.7 area. 1.7 area. 1.7 area. So what what would you say is the main difference between the long trades you've shown me and the this short trade now? What's the main difference? I would say they are actually kind of similar once you get the price action and you know that when is long

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buyer taking their profit and doing their entries and once you understand how short seller they got in their entry and you know their stop loss. I think they have actually very similar in price action. But for some of the uh short side position, I usually might hold it longer than my long position because sometimes the momentum is not that fast. For this trade is pretty fast, but sometimes you need to wait around half an hour for it to drop to the profit area that you you would like. And it also take me sometimes to learn both of them because when I first got into trading I usually do long but sometimes when you you will

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get into some price action that there will be a for so I would think why don't I just short at the four per hour. So I develop another skills which is shorting the stock when there's a force per hour. So on November 12th, the $280 has grown to half a million in 5 months. Then I decide to end the challenge. The highest point was $517,000. But then December is holiday season, so there's not much opportunity. So there's right now a 10% pullback right now. And I'm currently taking a holiday break for myself till January uh and see if the market hits up again. And my goal was to see how fast I could scale the

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small account in a short period of time since it had hit half a million in November and I'm taking a break right now. So I feel like feels like that this is the right moment to wrap it up and I honestly don't want to keep posting update about this forever. I've been documenting this small account challenge on YouTube, but I'm a bit behind on updates. Uh the video I only post up to July so far. Yeah. So, that's it for my small account challenge. >> Nice. And uh I'll put the link to your ch to your channel below so anyone can watch the updates and the videos uh when they want. they want. they want.

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>> So, here are some tips for beginners. The first tips that I got is that when you start, you should pick one thing to focus on. It can be stock, option, crypto, or whatever. But once you choose one, just stick to it and go deep. I've seen so many people jumping around. They start with stock and then they see something some someone posting profit from option and they switch to that. The next week they see some crypto post and they switch to that again. On honestly this is the fastest way to fail. Every instrument has it own price action logic and rules. If you keep switching uh you will never become good at any of

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them. And when you pick an instrument, you better choose a trading style and commit to it as well. So the key point is to choose one path and learn everything about it. If you don't stay long enough in one lane, you will never master it. And you actually don't need to learn everything to make money. >> When you say go deep, uh what does that mean? How much did you study uh to to get to the level that you are at? I would say you need to spend every single day doing that specific things for around at least half a year. That's the very basic timing for for for trading. I think I spend around

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half a year to become a break even trader. So because you need to beat the commission rate, you need to develop your own strategy. You need to learn how to read level two, read the chart and you need to understand uh where is the support and resistance candlestick pattern. So I would say if you trade every day and spend all the hours looking at the chart, I would say at least you need around at least half a year to be able to be a break even trader. And that's what I did at that time. >> Yeah. But you you were not you were working or you were not working. You were just all in every

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day all day and looking at charts. >> I was just all in at that time. >> The next tip is that for beginners, you can start with modeling after a successful trader. I don't mean copying trace, but I mean understand how they think and why their strategy works. If you can read books, go online or find a mentor. It is very common for beginners to get lost or give up before they see any progress. With some direction, it helps you avoid quitting too early. And when I look back at my own journey, there's many tough moment. If I had decide to quit on any of those day, I wouldn't been where I am today. So

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looking at my whole path, I if you ask me whether I would invest a bit more early on in a better tool, uh paid content or anything that helps me learn faster, my answer is yes, cuz day trading was life-changing to me. I don't want to mess it up. And once you know the basic and know the proven strategies, just practice as much as you can. After you keep adjusting and improving, you will naturally find what's fit your personality. And over time you will create your own system and your edge. For example, in my academy there's a long strategy, short strategy, fast trace and slower trace. But in the end, everyone choose the style they

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perform best in and that become their main focus. Eventually you build something that is truly yours even if you start by taking inspiration from others. So right here is the last tip. Um, I would say start with a small amount or use a demo account first. When you know nothing about the market, your first priority is to protect your wallet. So, no rush. Don't think about getting rich fast. For example, if you can't consistently make money on a demo account, it is going to going it's only going to be harder when you use real money. And if you can't turn $1,000 into 2,000 in a non-gambling way, even though you put in a million in

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your account, you can't still you still can't turn it into 2 millions. The size or the starting balance doesn't fix the problem when you want to make money trading. Uh your skill does. I think my small account challenge is a good example of that. When your skills are ready, it really doesn't matter what number you start with. even only 280 bucks can become half a million in around five months. So, I know this tip sounds very general, but a lot of beginners traders still can't follow them. When people get desperate to make money fast, trading can easily easily turn into gambling. And most of the time, people only learn this in the hard way by

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blowing up their first account. So yeah, So yeah, So yeah, >> the specific strategy that you do requires a huge amount of discipline at all times. all times. all times. >> Yeah. >> Yeah. >> Yeah. >> How did you learn that discipline? >> Again, I wake up and look at the chart and trade for the whole day in the beginning of my career. At that time I start trading at 9:30 and I just keep trading until 4 pm. It was kind of crazy to take that many trade in a single day. But I just want to learn faster. So I keep participating in every price action in any stock that is moving. So as my

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experience has and as there's more experience emotion size also getting better I feel that my knowledge is getting more I am feeling comfortable looking at the chart and taking trade and reading the level two and tapes and that's how I actually learn everything. So practice make perfect. >> Yeah. In terms of your lifestyle do you do anything like run, meditate? Do you not do anything like do you drink alcohol, anything like that to keep the discipline? discipline? discipline? >> I actually I do everything you just mentioned. So I would say yeah pretty much everything. I wouldn't say I can't do anything. Maybe I shouldn't break my left arm. I was playing volleyball and I breaks

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my pinky fingers which kind of affect me like typing on the keyboard. So now I'm going to talk about the United State Investing Championship that I joined in June. So, some people might say that this competition isn't that big, but a YouTuber from Hong Kong won the first place last year, which brought a lot of attention to it in Hong Kong and the media in influencer were talking about this. So, it kind of became familiar within the Hong Kong trading community. community. community. So, at first I believe it was a legit competition tool, but after going through it myself, I realized it wasn't. A lot of people, even some media were misled by the name

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of this competition. And the truth behind it is really shocking. So I entered the competition in June with around $22,000 using the same account for my small account challenge. I was in the first place in June, July, and August. And everything was fine during those months. But in September, I did very well and broke the competition record. The record was 912% was 912% was 912% for the division that I was in. And my return reached 1,700% by the end of that month. That was when he suddenly start questioning my result without giving any evidence. I was later removed from the standing with no official notice and no explanation about what rule I violated. From what

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I saw, the entire competition uh is run by one person, Norman Zeta. He's reveal he he reveals PDF statement on his own and decide everything based on that. I originally thought this competition would be a legit way to verify my small account challenge. But during our communication, the whole thing seems very unprofessional and I'm not talking about other participant. I'm only talking about what happened to me. I talked to him for more than two months, almost a hundred of emails back and forth trying to sort it out. But his explanation keep changing and sometimes they even contradict themselves. One big example was when he suddenly said that only result from a specific broker would count

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and my re my result is not accept because I wasn't using that broker. But there's no such requirement in the written rules. According to the rules, anyone using any brokage can participate. If being report on the standing required using a specific broker, it should be written in the rules from day one. And my name appear on the standing in June, July and August without any issue. All the problem start only after I broke the record. record. record. So I explained to him that the broker he wants is fine but it's not ideal for active day trader. the execution are slower and there are fewer small cap short short short so broker simply doesn't make any

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sense for my trading style but he couldn't understand even after I try to explain everything in details to him and to follow his request I eventually move my funds to another broker he wants and trade there for a period of time and using the same strategy and the share size I make and around 80 returns 80% returns in two weeks even though the platform is not favorable for my trading style and this clearly proved my consistency but he ignored that as well. So when I asked him about where is the broker requirement in your rules he just said that we cannot predict everything in advance I reserve the right to make my decision. So honestly

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this was the worst excuse I ever heard like how can you forget to set a broker requirement in a competition that is open to everyone around the world and claims to verify trading result. So back to his verification method, participant are only required to submit PDF files, but I have provide every piece of ED evidence that could exist. Uh full full trade history, deposit and withdrawal record, monthly statement, live trading crypts and kinfo verification, and even an official document from the broker confirming my profits are real. I also told him that I'm willing to do a CP CPA audit at any time, but he ignored all of that. To him, the only thing that matters

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was a PDF. And we all know that PDF files are editable. You don't even need AI. You don't need Photoshop. I can quickly show how easy it is it is to manipulate a PDF file. So, here is a random PDF broker statement that I export from a broker. And you can just click edit and you can do whatever you want. You can edit your profit, add your percentage. percentage. percentage. So if I want the first place right now, I can just put in whatever percentage I like and boom, I just got the first place of the championship. the championship. the championship. And that's how he verified profit for this competition. >> Yeah, you can explain

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more, but it sounds to me that like the United States Investing Championship, you you performed too well and and then um he didn't like it, so he banned you from the position for performing too well. It's crazy, you know. >> Yeah. And he doesn't have any evidence to prove my result. He's crazy. So, like he just he doesn't believe your performance. He doesn't this guy doesn't think that it's possible. I don't understand. understand. understand. In his email, he actually said he believes my gain, but he's under a a lot of pressure to report my gain. But I think it's come with that uh he doesn't actually have a verification method. So, he's in a lot

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of pressure. So I don't understand why he treat PDF file as the highest level of authenticity which honestly doesn't make sense to me. So after I already gave him all the proofs, he couldn't find anything to question anymore. He start to making up something to accuse me. He accused me for cheating as a market maker with zero evidence. And the broker and software that I use don't even have that kind of function. All my trades and clips are showing that I was only using normal retail limit orders. And that was when I realized he was just trying to find excuse. And it also shows that he doesn't understand how trading actually works. works. works. And

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you know what? Before he removed me, he even said that he didn't know what percentage he would use to report my result. I was up 1,700% in the competition in September, but he said maybe he would use 600% that I achieved in August or maybe much less if I don't do well from now on. I still can't believe how a competition can just manipulate participants result like that. Why do we need to bargain about what number should be report? That's crazy. At another point his excuse was that he wants an investing competition and he didn't consider day trading as investing but he never restrict trading style anywhere in his rules and there are other day

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trader currently on his standing who are not using that broker either. That's double standard and it make me feel that participant is like a cash cow for him as long as you are not breaking the record. record. record. And if he truly didn't want to include day trading, then why does the exact same day trading strategy suddenly become investing just because he's done on the broker that he prefers? So he keep contradicting himself and never publish consistent rules that apply to everyone. everyone. everyone. And here's the logic. So if my result were fake, how could I stay in first place for three months with zero issue? And that means that he doesn't have ability to

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verify the results. And if my results were real, then why was I removed from the competition? That still mean that he has no ability to verify results. So no matter how you look at it, it just doesn't make sense at all. So as for right now in December, um my gain was around 2,000% in return and ranking number one in the competition. And now I'm removed. So after all this back and forth communication with him, I start to think that there's might be another reason behind why he was act acting this way. So it almost $500 per person to enter and even a,000 bucks for in other division. So there's hundreds of participant every year

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and there's no prize money at all. So even if you win, so he's making millions of dollars from the entry fees. and adding more restriction to the rules mean there will be less entries. So removing me is the easiest way for him to continue his business without adding any rules for other participants. And since there's no prize money, the whole point of joining this competition and paying the entry fee is to have a fair and verified result. But it turns out he doesn't have any sort of ability to verify anything. verify anything. verify anything. and he told me that he is under a lot of pressure reporting my numbers. He said it was risking his

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whole business which is worth million of dollars. So the difference is very obvious compared to Kinvo. You guys have zero pressure reporting my numbers because your system just pull data directly from the broker and I can't modify any of the numbers. But what you see on the screen so what you can see on the screen is the truth. You don't need to feel uncomfortable about my numbers. A fact is a fact, right? That that is why you can talk about my return with confidence, but he couldn't because he doesn't have any real verification system. He just look at a editable PDF. So, which is very ironic because the whole purpose of his competition is to

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verify and report result. But he even he he can't even tell what is real and what is fake. And right now he quietly removed me from the standing without any official document and he said that he will give me a refund. But by the way I didn't receive that right now. So the whole experience was like a scam to me and this is so unfair because this is very misleading to my audience. People are asking me on social media why am I removed it and I need to explain to them. So thanks for thanks thank you for thanks Kinfo for saving me from this and allow me to speak up today. So imagine if there's

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no such a platform like you guys. Everyone might just assume I I was cheating or I blew up the account but that's not the truth. So my experience with this competition is extremely disappointing. It did teach me that what real verification should look like. >> Yeah. But I mean this is terrible because you you paid that money to be verified. verified. verified. >> You thought that it was credible. You paid that money only for that reason. And then you >> and I know I won the competition. >> The first phase right now is like 1300%. And I'm almost 2,000%. >> Yeah. But it's it's not such a crazy difference either. It's not like it's not

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like someone's 1300% and you're 20,000%. Like it's there's only 600 difference between the two of you. So, how is the other guy not under pressure to be removed? >> I think he is using the broker that >> Norman likes. So, he's still there. >> Yeah. But it just >> it's not on the rules, right? No, it just sounds like you performed too well and people other people got jealous and complained and you performed too well and broke the system. But [laughter] >> yeah, I broke broke the competition, right? right? right? >> You broke it broke it with too much profits. profits. profits. >> But uh but look, no, I mean that's what Kimo is there

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for because there's a leaderboard, but there's no profit or loss or monetary value to enter. It's just it's just there to to verify directly from the broker and that's it. Yeah. Yeah. Yeah. >> But uh yeah, without something like Kimo, it's what do you do? Do you know what I mean? Because that's your reputation could could be questioned. >> Yeah. Because for you guys, you know, my profit is all real. It's on the system. >> Yeah. >> Yeah. >> Yeah. >> Yeah. You just export from the broker. >> Even now there we don't know what will happen next. You just have to see. Uh so what are your thoughts on the on the industry verification?

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Tell So right now there's lots of mixed information on social media. There are fake profits. There's a screenshot or demo account everywhere. It's getting harder and harder to tell what's real or what's not. Especially for those who don't know that much about trading. And this happened a lot on Chinese social media too. Some people post and verify profit screenshot and collect money to give financial advice. And at the and at the end of the day, they might just blow up their account or just disappear. It's so irresponsible. And the reason this gray area exists is because their profit are not verified. So even a competition that sounds this legit turn out to be a scam.

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At least based on my experience. This is also kind of ironic that since the market is too messy, trader like us who provide tons of proof still get questioned as fake by some people while some real scammer can just use a few fake screenshot to trade people and take their money. So I do think platform like Kinfos are very useful. You guys raise the verification standard much higher and provide much more of transparency. And my message to everyone is that especially if you are paying to learn, don't just believe a profit curve or some profit screenshot. Try to look at how those results are verified. >> Yeah, absolutely. And it it's it's that's one of

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the main reasons Kimble exists because it's I mean 5 or 10 years ago I think it used to be much worse. But if someone has if someone in the past had a big following you just assume that yeah knew how to trade. If they posted screenshots and had a big following must must be a good trader. >> The world is wiser now because there's been so many so many scammers in the last 10 years. >> Yeah. I would say like 80% of people like posting this kind of stuff might be a scammer at the end. >> Yeah. But the the fact that you did a the fact that you've you've you've managed to achieve $250

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to to to half a million and it's all publicly verified is is absolutely incredible. And then we've saw some nice screen some videos of how you've done it exactly as well today as well. But um one of the main questions I get when someone says I've made half a million is well what what is their account balance? Is it 10 million? Because if it's 10 million it's very easy to make a million but but your return on investment is incredible. incredible. incredible. >> Yeah. The percentage actually sound pretty ridiculous. pretty ridiculous. pretty ridiculous. It's it's in five months as well, right? >> Yeah. I don't think we've ever had anyone on Kimo with that good

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return on investment ever. investment ever. investment ever. >> Thank you. You you do you have an academy? You do you teach? >> Yeah. Yeah, I teach in I teach in Chinese. So it's a Chinese course because I don't have many English speaking audience right now. But if I got a lot maybe I can teach in English in the futures. But English is not my first language. So yeah maybe in the futures. Yeah. futures. Yeah. futures. Yeah. >> But today went well. I think you you did a good job. But no, it's unless you have any other any other uh goal any other hints or tips or final advice. I think you've provided more than enough

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value. >> No, I I I think I'm good. I've talked about everything I want to cover today. >> Amazing. Well, thank you so much for your time on today. Uh sorry about your experience with the American investors. That sucks. That sucks. That sucks. >> But we say you get huge value. you give huge value and so thank you very much for coming on and sharing. >> Thank you. Thank you very much. Thank you for inviting me.

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Coverage means complete processing of the supplied readable text with documented uncertainty. It does not mean every possible interpretation is captured. No broker, product, tax or regulatory statement was refreshed externally. No performance outcome is treated as independently demonstrated by a transcript.

The source title and description may advertise verification. Those claims remain publisher statements. Captions lack reliable speaker labels, so confidence is assessed per insight. Brief opening teasers are reconciled with later explanations.

Em dash typography is rendered as a hyphen; underlying source mappings and JSON retain provenance. Metadata has not been invented to create video links.

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