I made $1.5M prop firm trading and learned this

Finance-focused summary (prop firm trading lessons)

The speaker describes prop-firm trading as less about predicting market direction and more about survival, risk management, and disciplined execution under evaluation rules (e.g., max loss / profit target).

Key recommendations / cautions

• Optimize for survival, not “being right.” On prop firms, the goal is to reduce the chance of hitting max drawdown so you can benefit from your edge over time.

• Do not watch the P&L (“dollars”) during trades. Instead, follow the process: setup validity, expected value (EV), and how the trade affects your pass probability.

• Stop or avoid discretionary exits. For example, don’t exit early due to wicks or emotions near the target—let the trade play out per the plan.

• Prioritize expectancy (expected value) over win rate.

• Use position sizing tied to “prop firm evaluation math.”

  • Stops/targets should be static (pre-defined) and chosen to maximize pass probability under the firm’s rules.
  • Avoid discretionary stops; tie execution strictly to strategy, win rate, and evaluation constraints.

• Don’t force trades. If the setup isn’t present, skip it to protect both survival and EV.

• Psychology matters—specifically when it causes plan deviations. Examples include tilting, FOMO, greed, and overtrading.

• Maintain a trading journal tracking pass/fail-relevant metrics and psychological deviations.

Instruments / tickers mentioned

• No specific market tickers (stocks/ETFs) or macro assets are named.
• The speaker uses general price concepts such as:
  • “fair price” (pre-open price)
  • displacement
  • structure breaks
  • wicks
  • take-profit and stop-loss
• No explicit commodities/crypto/bonds tickers are mentioned.

Key numbers & metrics explicitly stated

• $1.5M: total withdrawn from prop firms over “the last couple years.”

• Example risk/reward mechanics (points-based):

  • 50-point stop loss (example)
  • Losing sequence: -50 points, -50 points (two entries)
  • Then a winning entry reaching about +250 points
  • Net referenced: 150 points × 3 contracts = $9,000 (as stated by the speaker)

• Prop firm evaluation targets and limits (explicit):

  • +$3,000 profit target
  • -$2,000 max loss
  • Implies roughly 1:1.5 risk-to-reward (described as “This in and of itself is a 1 to 1.5”)

• Suggested risk-to-reward for their strategy:

  • Trade ~1 to 1.5 (personal advice: “try and trade a 1 to 1.5 at least”)

• Monte Carlo / simulation-style numbers:

  • Example simulation: $500 stop loss with $4,000 drawdown
  • “It takes eight in a row to blow the account.”
  • “Simulated this 6,000 times”
  • “100 trades, you’re pretty much 50/50 to blow.”
  • Risk framing: risk small per trade if you have an edge, because it reduces the statistical impact of losing streaks.

• Trading calendar:

  • Mentions 252 trading days in a year to support the idea that there’s usually another setup—don’t force trades.

• Psychology/tilt suggestion:

  • If tilting, “gamble some evals” worth about one-tenth of your funded account.

Step-by-step / methodology frameworks

Lesson 1: “Stop trying to be right” (survival framework)

• Treat each trade as something that should not risk max drawdown.
• Aim to avoid hitting max loss so your edge can compound across evaluation cycles.
• Rationale: prop firms reward your edge over time, not correctness of individual entries.

Lesson 2: “Watch the process, not the dollars” (execution framework)

• Evaluate the setup math: did you take it correctly, is EV favorable, and how does it impact pass odds?
• Prevent discretionary early exits when P&L fluctuates.

Lesson 3: Expectancy > win rate + size to evaluation math

• Choose risk-to-reward that’s optimal under prop rules (win rate and R:R can trade off inversely).
• Use a target like ~1 to 1.5 R:R for the speaker’s stated rules (+$3,000 / -$2,000).

Lesson 4: “Don’t force trades” (decision framework)

• If the setup isn’t there, skip it (even “not trading” is a decision).
• Predefine how a “bad trade” affects EV; don’t override the plan.

Lesson 5: “Your psychology is the strategy”

• Keep execution step-by-step to reduce behavioral drift.
• Avoid deviations: tilting, FOMO, greed, overtrading.
• If tilted, reduce exposure (“gamble some evaluations”) rather than risking the funded account.

Lesson 6: Journal metrics to prove profitability

Track:

• Win rate by fixed (static) risk-to-reward
• Eval spend
• Payouts received
• Chance of payout on funded accounts
• Payout size
• Psychological mistakes (tilt/FOMO/greed) for correction

If the journal/backtest confirms profitability under predetermined risk management, then implement and scale.

Disclosures / disclaimers

• No explicit “not financial advice” disclaimer appears in the provided subtitles.

Presenters / sources

• Single presenter (unnamed): the author/speaker describing their own prop-firm performance and lessons.
• No external sources or co-presenters are cited in the subtitles.