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Which strategies actually work

All 34 strategies, scored on real outcomes from every analysis you have run. Nothing here is a claim from a textbook.

StrategyFamilySetups Hit rateRawKept Instruments
Squeeze breakout breakout 912 29.1% +0.055 +0.045 27
Volume confirmation volume 1,688 29.8% +0.042 +0.032 27
Aroon trend trend 10,399 28.2% +0.035 +0.025 27
Adx di cross trend 3,709 28.7% +0.033 +0.023 27
Market structure structure 10,759 28.4% +0.033 +0.023 27
Tsi trend trend 8,146 27.8% +0.026 +0.016 27
Obv divergence volume 5,952 27.9% +0.026 +0.018 27
Trend stack trend 10,538 27.9% +0.024 +0.014 27
Donchian breakout breakout 5,163 27.3% +0.024 +0.015 27
Pin bar pattern 2,380 27.9% +0.024 +0.014 27
Momentum thrust pattern 1,042 27.1% +0.023 +0.014 27
Linreg channel trend 6,703 27.2% +0.021 +0.012 27
Roc momentum trend 9,627 27.7% +0.018 +0.009 27
Accumulation trend volume 10,063 27.4% +0.018 +0.008 27
Ichimoku cloud trend 10,765 27.6% +0.017 +0.007 27
Bollinger fade mean reversion 3,656 26.9% +0.016 +0.007 27
Parabolic sar flip trend 10,765 27.7% +0.015 +0.005 27
Gap behaviour structure 6,834 27.7% +0.014 +0.009 26
Vwap position structure 9,705 27.2% +0.014 +0.004 27
Macd momentum trend 7,174 27.2% +0.014 +0.004 27
Supertrend follow trend 10,765 27.6% +0.014 +0.004 27
Pivot levels structure 9,532 27.3% +0.010 0.000 27
Vwap band fade mean reversion 5,931 27.6% +0.005 -0.004 27
Volatility expansion breakout 1,460 28.2% +0.003 -0.007 27
Mfi extremes volume 8,540 27.2% 0.000 -0.010 27
Stochastic reversal mean reversion 7,576 27.4% 0.000 -0.010 27
Cci reversion mean reversion 8,374 27.0% -0.002 -0.012 27
Zscore reversion mean reversion 9,298 27.2% -0.003 -0.012 27
Williams reversal mean reversion 9,147 27.3% -0.005 -0.014 27
Rsi reversion mean reversion 9,212 27.0% -0.006 -0.016 27
Inside bar break breakout 898 27.5% -0.011 -0.022 27
Engulfing pattern pattern 1,026 27.4% -0.025 -0.037 27
Keltner reversion mean reversion 2,847 26.5% -0.026 -0.035 27
How to read this

Raw is expectancy before trading costs, which answers one question: does the strategy predict direction at all? Kept is what would actually have ended up in your account once fees and spread came out.

A wide gap between the two columns means the strategy works but the instrument or interval is too expensive to trade that way. That gap is the most common reason retail day trading loses money. It is also why the default ranking is raw skill: sorting by what you keep across many instruments mostly sorts by which symbols are cheap, not by which strategies are good.

Analysis software, not financial advice. Every figure here is measured from historical price data and can stop describing the future at any moment. Day trading loses money for the large majority of retail participants, and this tool's own measurements agree with that. Never risk money you cannot afford to lose.
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Analysing
Fetching data, running 34 strategies, and back-testing each one against this instrument's own history.