Kalman-Filtered Relative Price Mean Reversion with Volume Confirmation

Summary

This strategy compares a stock price with a market benchmark through a relative price measure, then applies a Kalman-style filter to smooth the signal. It treats unusually low filtered readings as potential long entries and unusually high readings as potential short entries, using bands two standard deviations from the filter as thresholds. A volume condition requires current volume to meet or exceed its short moving average before entries are taken.

The document presents the method as a way to identify short-term relative-price extremes and notes parameter estimation, changing market conditions, slippage, and benchmark shocks as risks. It includes a short BTC/USDT futures configuration, but no reported performance evidence. The source materially differs from the prose: it calculates a ratio of one-period returns rather than a stock-to-index price ratio, and its benchmark input references the same BTC instrument shown in the backtest settings. The supplied source therefore does not demonstrate the described stock-versus-market implementation.

Key ideas

• The stated approach filters a security's relative price against a benchmark and looks for mean reversion at extreme readings.
• The described thresholds are two standard deviations above and below the filtered value.
• Trades are gated by volume being at least its short exponential moving average.
• Model parameters, slippage, and benchmark volatility can undermine the signal.
• The source instead divides one-period returns and its displayed benchmark matches the BTC instrument in the backtest settings.

Tags

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