Adaptive Moving Average Channel Breakout Strategy

Summary

This strategy uses an adaptive moving average (AMA) to track price and a channel around it to signal directional breakouts. A volatility-sensitive smoothing factor makes the average more responsive when price moves farther from its prior value and smoother when moves are smaller. The described rules enter long above the upper channel and short below the lower channel, remaining flat otherwise.

The document explains the intended mechanics and lists adjustable inputs, including the SNR factor, lookback, and channel beta. It provides published backtest settings for BTC/USDT futures, but reports no performance figures, so it does not establish profitability. The source’s channel width is derived from smoothed positive and negative price changes; the prose’s channel equations are abbreviated and do not fully describe that calculation. The document also identifies false breakouts and parameter sensitivity as risks, and notes that it lacks position sizing and stop-loss rules.

Key ideas

• The AMA changes its smoothing response according to price movement relative to its previous value.
• The strategy enters long above the upper adaptive channel and short below the lower channel.
• Channel width depends on beta and smoothed positive and negative price changes in the implementation.
• False breakouts and parameter choices can lead to missed trends or repeated trades.
• The described system does not include explicit position sizing or stop-loss rules.

Tags

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