Hull-Smoothed ATR Trend Signals with Fixed Stops and Targets

Summary

This trend-following method smooths true range with a Hull moving average and compares the resulting series across bars. The source enters long when the smoothed value rises relative to its prior value and short when it falls. It also attaches fixed stop-loss and take-profit distances to each position. The accompanying explanation describes comparing price with an ATR average, but the code's actual entry conditions compare consecutive ATR-derived values, so the implementation and prose do not fully agree.

The document explains the intended benefit of smoothing volatility data to reduce noise and lists risks including false signals, stops that are too tight, fixed targets that exit trends early, and reversals. It proposes parameter tuning, dynamic exits, trend filters, and event handling. No performance evidence is reported. Published settings indicate a BTC futures backtest spanning roughly a year, but the strategy source's position sizing and fixed exit distances do not establish risk-adjusted results or general suitability across markets.

Key ideas

• The source smooths true range with a Hull moving average.
• Entries are triggered by the smoothed series rising or falling versus its prior value.
• Fixed stop and target distances define exits in the supplied implementation.
• The written explanation's price-crossing description differs from the source's entry logic.
• False signals, fixed exits, and market-specific parameter choices limit the method.

Tags

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