Trend MA Strategy Using Trend State and Fast-MA Pullback Signals

Summary

This strategy combines a slow moving average based trend state with a faster EMA used to identify potential entries during pullbacks. In the supplied implementation, the trend state is based on consecutive bars remaining on one side of the selected slow average; entry signals then require price to reach the fast EMA and a configurable run of opposite-color candles. This differs from a basic system that enters solely when fast and slow averages cross. The slow average can use several calculation methods, including a price channel midpoint, while stop orders are optional.

The document describes a short BTC/USDT futures backtest window, using a three-hour strategy period and fifteen-minute base data, but reports no returns or other performance statistics. It highlights lag, tight stops, absent volume confirmation, false signals, and parameter selection as concerns. Those are general cautions rather than evidence that the proposed filters improve results; testing across longer periods and market conditions would be needed to assess robustness.

Key ideas

• The implementation defines trend from price remaining above or below a selectable slow average across recent bars.
• Entry signals combine the trend state, interaction with a fast EMA, and a configurable sequence of candle colors.
• The slow average can use multiple methods, including a channel midpoint, and stop orders are optional.
• The stated backtest covers a brief BTC/USDT futures interval and provides no performance metrics.
• The document identifies lag, false signals, stop placement, and parameter choice as limitations.

Tags

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