Trend Tracking with Hull Moving Averages and Kalman Filtering

Summary

This strategy tracks trends by comparing a Hull moving average with a triple Hull moving average. A bullish cross produces a long entry and a bearish cross produces a short entry. The described setup uses a 24-period lookback and offers Kalman smoothing for both averages; smoothing is described as optional, though the published parameter list enables it by default. The Kalman filter repeatedly predicts and adjusts its estimate to reduce noise.

The document explains the indicators and outlines risks, but supplies no performance results. Moving-average signals can lag reversals and generate false trades near turning points, while short lookbacks may react to noise and long ones may respond too slowly. The write-up cautions that choppy conditions may be unsuitable and notes that the strategy can remain out of the market between signals. It suggests tuning filter and period settings, adding volatility checks or stops, and testing supplementary confirmation indicators; these are proposals, not evaluated improvements.

Key ideas

• A cross between the Hull and triple Hull averages defines long and short signals.
• The strategy specifies a 24-period lookback and an optional Kalman smoothing step.
• The filter is intended to smooth the moving-average signals by reducing random noise.
• Moving-average lag and choppy markets can lead to missed reversals or false signals.
• The document provides no backtest performance results.

Tags

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