Combining 123 Reversal Signals with Historical Volatility Filters

Summary

This combined strategy pairs a 123-style reversal signal with a statistical volatility regime signal. The reversal component uses recent closes and a stochastic oscillator to assign a bullish or bearish state. The volatility component estimates historical volatility over 30 periods with an extreme-value method. The strategy enters only when both components indicate the same direction; otherwise, it closes positions. The documented thresholds are 0.5% for a bullish volatility state and 0.16% for a bearish one.

The document argues that agreement between the two signals may filter trades, but it supplies no performance results. Its published configuration is a short BTC/USDT futures backtest, so it does not establish results across assets or market regimes. The method depends on tuned thresholds and historical price data, can miss signals when components disagree, and may react poorly to abrupt volatility changes. The written signal description and source implementation do not align perfectly on the stochastic conditions, so the exact reversal rule merits verification before use.

Key ideas

• The strategy requires agreement between a stochastic-based reversal signal and a historical volatility signal.
• The volatility estimate uses a 30-period lookback and separate upper and lower thresholds.
• When the component signals disagree, the strategy takes no directional position and closes existing positions.
• The document identifies parameter sensitivity, false reversals, and sudden volatility shifts as risks.
• A brief BTC/USDT futures backtest configuration is provided without reported performance results.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.