๐Ÿ”ฌ ADVANCED QUANTITATIVE ยท STRATEGY TEMPLATE

Z-Score Mean Reversion (Hurst
Filter)

When price deviates 2+ standard deviations from its mean, reversion is statistically likely. Use Z-Score to measure deviation and time entries.

Quantitative1Hโ€“Daily1.5:1 R:RLow Risk
66%
Win Rate
1.4:1
Avg R:R
6-12
Trades/Week

Rules & Configuration

The full rule set, required indicators, suggested configuration, execution flow, and performance parameters for the Z-Score Mean Reversion (Hurst Filter) setup.

When price deviates 2+ standard deviations from its mean, reversion is statistically likely. Use Z-Score to measure deviation and time entries.

Z-Score (20)Bollinger BandsRSI (14)Hurst Exponent
๐Ÿ“ˆ Long (Oversold)
  • Z-Score drops below -2.0
  • Price at or below lower Bollinger Band
  • RSI below 25
  • Hurst Exponent < 0.5 (mean-reverting regime)
  • Enter long, target Z-Score = 0 (mean)
๐Ÿ“‰ Short (Overbought)
  • Z-Score rises above +2.0
  • Price at or above upper Bollinger Band
  • RSI above 75
  • Enter short, target mean
66%
Win Rate
1.4:1
Avg R:R
6-12
Trades/Week
๐Ÿ’ก Pro Tip

Check the Hurst Exponent first. If H > 0.5, the market is trending and mean reversion will fail. Only trade mean reversion when H < 0.5.

More Advanced Quantitative Strategies

๐Ÿ”— Statistical Pairs Trade ๐Ÿ”ฌ Multi-Timeframe Confluence ๐Ÿ“ Z-Score Mean Reversion (ADX Filter) ๐ŸŽฒ Connors RSI(2) ETF Reversion ๐Ÿข Turtle System Rule 1 (Donchian Breakout)