Video summary

The EXACT Trading Strategy That Made Me $1,600,000 From Prop Firms

Main summary

Key takeaways

Finance

Finance-focused summary of the video’s trading strategy

Presenter / claimed results

  • Speaker: JJ
  • Claim:$1.6 million” profit from prop firms using the described method.
  • Performance claim: 57.5% win rate on 1.5 risk-to-reward (RR).

Instruments / markets mentioned

  • Trading is framed around the New York session open (primary reference point).
  • No specific asset ticker (e.g., SPY, ES, NQ, BTC) is explicitly named in the subtitles.
  • “Fair pricing theory” is applied at the market/index level and treated as applicable to “trading companies” / underlying pricing.

Prop firms / account payouts shown (tied to proof)

These are mentioned as examples of funded account progress (no tickers provided):

  • Topep: $292,000 payouts + about $50,000 on an “old dashboard”
  • E8: $222,000 payouts; about $580,000 in payouts (also referenced)
  • My Funded Futures: $92,000
  • Funded Next: $129,500 (shown as “right now”)
  • Lucid: ~$105,000 total
  • Apex: $60,000 total (with a note “might be a little more”)
  • Alpha Futures: $75,000 total
  • Ola Prime: $55,000 total
  • Mentions “smaller sites” but says they aren’t worth showing.

Core methodology / step-by-step framework (as described)

1) Session timing & trade windows

  • Primary reference: New York session open (best; though “works with any session open”).
  • Trade structure by time:
    • First 5 minutes: look for continuation (continuation from the open)
    • After first 5 minutes: look for mean reversion for ~5 to 90 minutes
  • Hard stop: “90 minutes and I’m done” (explicitly ends trading at ~11:00 a.m. in examples).

2) Fair Pricing Theory (why the strategy works)

  • The NY open is treated as the first major intraday reference for “fair auction.”
  • Moves at/around the open are described as “unfair” due to:
    • opening flow
    • liquidity imbalances
    • stops / hedging
    • momentum participation
  • Therefore, the strategy targets reversion back toward “fair price,” usually tied to the open price (and adjusted when regime/news changes it).

3) Entry signal: “Displacement candle”

Rule-driven criteria:

  • Displacement entry criteria:
    • The body of the current candle is larger than the body of the previous candle.
    • Can combine multiple candles for displacement over a prior candle (discretionary option).

Less strict / discretionary add-ons:

  • Use discretion if conditions are “almost” displacement or if there is structural confluence.

4) Structure confirmation: A+ / A / B setups

  • A setup: displacement
  • A+ setup: break of structure
    • Described as stronger confirmation (stronger win rate in general)
    • Used more when scaling is not the constraint
  • B setup: explicitly says do not take B setups

5) Fair price targeting & adjustments

  • Default “fair price”:
    • Pre-open / 9:30 a.m. open is treated as fair most of the time.
    • Fair price is 95% of the time going to be the market open.”
  • Adjust fair price when price behavior implies the open is no longer fair:
    • Example reason: consolidation followed by break of structure continues (volume impact is cited).
  • For news days, fair price is treated as changed by news:
    • Expected news is “priced in” → fair price tends to revert toward the forecast/premove level
    • Unexpected news changes fair price → targets become the post-news consolidation level

6) Trade frequency / scaling approach (prop-firm specific)

  • Aggressive scaling goal:
    • ~10 trades per day during NY AM
    • No maximum amount of trades
  • Scaling rules:
    • Trade each account one at a time
    • Must go through all accounts every day
    • Copy-trading is discouraged (threshold): don’t copy trade until making about $20K/month.

Risk management & order parameters (explicit numbers)

Stop-loss and take-profit (evaluation / prop-firm configuration)

For “every single trade in this video” on prop firm evaluations:

  • Stop-loss: 25 points
  • Take-profit: 38 points
  • Implied RR: ~1 to 1.5 (speaker calls it “1 to 1.5 risk-to-reward”)

Disclosed rationale:

  • Prop firm evaluations: $2,000 drawdown and $3,000 profit target
  • Strategy is aligned to that ratio to improve evaluation pass rate.

Special handling for the opening candle:

  • For the first entry: use 38 TP / 25 SL unless the opening candle is larger than 25 points.
  • When opening candle body is larger:
    • example given: 50-point SL and 76-point TP (maintains similar RR profile)

Layering trades (“when to add another entry”)

  • Layering is used only sometimes:
    • If an initial trade is midway to take profit and break of structure occurs in your favor, add another entry.
  • Main goal: keep accounts “active” and let edge play out across many attempts.

Prop-firm vs live account caution (disclaimer embedded in strategy)

  • Speaker repeatedly warns:
    • This specific risk/targets approach is “prop firms only.”
    • Live accounts differ: evaluation-style constraints and drawdown structure are not the same.
  • Conceptual live adjustment:
    • Would target fair price more directly (e.g., TP at fair price rather than fixed 38-point TP) and manage stops differently.

Handling news days (framework + key rule)

Expected vs unexpected news

  • Expected news (e.g., shown as a “red folder” on Forex Factory):
    • Treated as priced in
    • The unfair move is expected to revert back to the pre-news fair price
  • Unexpected news:
    • Changes fair price
    • Fair price becomes the post-news consolidation level

News trading mechanics

  • Still based on displacement / structure, but:
    • fair price target is updated to reflect post-news equilibrium.
  • On prop firms, trades are split into separate 38.25-point “bias segments” on news-day examples (instead of one big move).
    • Speaker references marking out 38.25 for all entries on those examples.

Key results and statistics stated

  • 80 trades over 8 days:
    • Eight days, 10 trades per day” → should be 80 trades
  • Win rate claim:
    • 57.5% win rate” (mentioned alongside 1.5 RR early)
  • Behavioral stats (implied):
    • With 10 trades, variance increases and results “even out” across many accounts
    • Contrast: taking 1 trade/day is too variant.

Recommendations / explicit cautions

Recommendations

  • Trade prop firms (speaker argues they are “more profitable” and for “generational wealth building”).
  • Be aggressive with displacement entries to reach ~10 trades/day per account set.
  • Use ~1:1.5-ish RR with 25/38 points or 50/76 points.
  • Use break of structure as stronger confirmation when possible (A+), without slowing scaling too much.

Cautions

  • Don’t copy trade until a high income threshold is reached (~$20K/month).
  • Don’t take B setups
  • Don’t use live-account profit-taking rules on prop firms (prop evaluations/drawdown make it different).

Disclosures / disclaimers present

  • No formal “not financial advice” disclaimer appears in the subtitles provided.
  • However, the speaker repeatedly states the method is prop-firm-only and warns it won’t translate directly to live accounts.

Presenters / sources mentioned

  • Presenter: JJ
  • Source mentioned: Forex Factory (used as an example for “red folder” expected news)

Original video