Video summary

Watch Me Backtest My 71% Win Rate Strategy LIVE

Main summary

Key takeaways

Finance

Overview

The presenter runs a live backtest / replay of a discretionary mean-reversion trading strategy, claiming an improvement toward a ~70–71% win rate approach.

Trades follow a repeated rhythm:

  • Price moves within a range
  • It overextends into a range extreme
  • Then it reverts back toward the midpoint (“50%”)
  • Targets may be extended further depending on whether the setup is:
    • Pro-direction (trend-following within the range), or
    • Counter-direction

Markets / Instruments Mentioned

  • Gold futures (explicitly stated as the traded instrument)

No other asset classes were mentioned (no equity ETFs, stocks, bonds, or crypto tickers).

Key Numbers & Performance Metrics Cited

Random date selection (backtest setup)

  • End date chosen: 30 May 2025
  • Randomization window: 2023 to 2026

Session sizing (as stated)

  • Starting account: $100K

Win rate claim and observed results during the run

  • At one point: 83% win rate (during the session)
  • Final session results:
    • 24 trades
    • Average win rate: 70.8%
    • Win/loss ratio: 1.2R

In-trade targets (typical behavior)

  • Often targets ~50% reversion of the measured extension back toward the midpoint
  • Sometimes targets ~1.0 to 1.5R or “around 75% correction”
    • Framed as dependent on pro-direction vs counter-direction behavior

Core Methodology / Step-by-Step Framework

1) Choose a trading window/date

  • Select a randomized date from 2023–2026
  • Then pick the end day (e.g., the example end date used)

2) Identify the “overall condition” on higher timeframes

  • Prefer a rangebound / “rangy” environment
  • Determine whether price is in the:
    • upper half or lower portion of the range
  • If price takes out a prior high and extends, the expectation is a correction back toward the 50% level (mid-range / mean) before continuation.

3) Define directional logic from the “range condition”

Preferred mean-reversion behavior:

  • Sell near range highs
  • Buy near range lows

Bias note:

  • When trading inside a high-timeframe range after bullish extension into the upper half, bias may shift bearish for a pullback.

4) Break down “What / Where / When”

  • What: A clear range plus a high-volume extension into the range extreme
  • Where: Enter near the extreme:
    • Sell near range highs
    • Buy near range lows
  • When: Wait for structure and extensions, especially:
    • High-volume movement that does not instantly mean-revert to the 50% level

5) Entry triggers

The presenter repeatedly favors sequences such as:

  • Breaker structure:
    • take out high → revert to mean → take out low → revert to mean (described as improving trade “quality”)

Execution style notes:

  • Often uses aggressive execution when:
    • lower timeframe (e.g., one-minute) structure forms
    • then breaks
    • with rejection near the extreme

6) Stop-loss placement

  • Emphasizes giving the stop some “breathing room”
  • Wider stops may be used to avoid early stop-outs.

7) Target selection

Base case:

  • Target ~50% inversion / reversion back toward the extension’s mean

Adjustment logic:

  • Pro-direction (trend-following within a trending range):
    • can target more than 50% (e.g., ~75% correction)
    • characterized as “hold longer”
  • Counter-direction:
    • prefer more conservative 50% reversion

8) Risk management and execution style

  • The presenter states the most important part is entry location (range extremes).
  • The “strength of the entry model” is described as secondary.
  • Aggressive entries are acknowledged as a cause of stop-outs (framed as “deserved” in at least one instance), followed by moving on to the next trade.

Recommendations / Cautions Mentioned

  • Not financial advice
    • The transcript does not clearly include a “not financial advice” line, though the video contains a funding/prop-firm promotion.
  • Discretion and correct range identification are required
    • The strategy depends on the ability to properly spot the range.
  • Preference for quality extensions
    • Low-quality setups when extensions lack high volume (the presenter emphasizes “only want like nice high volume extension”).
  • Avoid waiting too long
    • Waiting for “market structure shift” can cause entries near the midpoint, which the presenter dislikes.
    • Preference is to enter at the range extremes.

Overall: the model is fundamentally price-action + structure + volume + mean reversion, applied discretely with emphasis on getting the entry location right.

Additional Context (Not Covered)

  • No macroeconomic context (rates, inflation, macro indicators)
  • No company fundamentals or valuation discussions

Presenter / Sources

  • Presenter: lone speaker; no name provided in the subtitles
  • Referenced link/promotion: “Work one-on-one with me” / prop-firm funding assistance mentioned, but no specific firm name or sponsor/ticker was shown in the subtitles.

Original video