KAMA Trend Following with Volatility Filters and Optional Stops

Summary

This strategy uses Kaufman Adaptive Moving Average (KAMA) to identify direction: it enters long when the fastest KAMA rises beyond a volatility-based threshold and closes when that measure reverses beyond an exit threshold. KAMA adjusts its responsiveness to recent price efficiency, aiming to follow directional moves while smoothing choppy action. The source also offers optional exits based on KAMA reversal, Parabolic SAR, or an ATR trailing stop, which can be combined.

The document describes configurable KAMA periods and filters, but supplies no performance results. Its published backtest settings cover BTC/USDT futures on an hourly strategy period over one month, which is too limited to establish robustness. The notes warn that parameters may need instrument- and timeframe-specific tuning, extreme moves can exceed the protection described, and KAMA-only exits may whipsaw in sideways markets. Suggested filters and optimization are proposals, not demonstrated improvements.

Key ideas

• The fastest KAMA slope determines direction, with a volatility threshold intended to filter weak changes.
• KAMA adapts its smoothing to recent price movement and noise.
• Exits can use KAMA reversal, Parabolic SAR, an ATR trailing stop, or a combination.
• The document gives no performance statistics, and its stated backtest window is limited.
• Parameter choices and choppy markets can materially affect signals and outcomes.

Tags

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