Building a Data-Proven FVG Trading Plan
Detected components (auto-read from transcript)
Claims it makes (quotes pulled from the transcript)
- “5% in this sample size again understanding that we are dealing with 2 weeks of trading right here the more data we have the more reliable the data is also going”
- “31% a little bit lower than the holding rate that we had of fair value gaps this then creates a profit and a return if you were to risk 1% on all of these trade”
- “23% and a total profit of 10% or in other words 10 RR so now we understand that if we take every single fair value Gap right there as a trading ID within that d”
- “43% which is a little bit higher than the previous trading plan and the profit is a little bit lower which is 8% so we take less trades we make a little bit les”
Verdict
Not backtestable — no mechanical strategy to test. Educational framework on building a trading plan using fair-value gaps and context; no mechanical, backtestable entry rules—discretionary price-action pattern recognition.
We only score videos that teach a rule-based strategy (a defined entry trigger, stop and exit a computer could follow). This one doesn't contain one, so there is nothing to backtest — we show no number rather than a made-up one.
Full transcript (3721 words)
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