Moving Average Difference Crossovers for Trend Following

Summary

This strategy generates directional entries from a smoothed difference between two moving averages. It calculates a faster and a slower average, doubles their difference in a MACD-like construction, then smooths that series with another moving average. A crossover of the constructed series above its smoother triggers a long entry; a downward cross triggers a short entry. The selected average type can be weighted, exponential, or ALMA, and the period is configurable.

The document explains the intended use of smoothing to reduce noise and describes the approach as a trend follower. It supplies BTC/USDT futures backtest settings for a short interval, but no return, drawdown, or trade statistics, so its performance claims cannot be assessed. The stated limitations include lag in fast markets, whipsaws in ranges, and overtrading from very short periods. Possible extensions include volatility-based stops, multiple timeframes, and rolling parameter adjustment, none of which are evaluated here.

Key ideas

• The strategy compares a fast and slow moving average and doubles their difference to form a trend signal series.
• A smoothed version of that series filters some movement before crossover entries are generated.
• The moving average mode can be weighted, exponential, or ALMA, with a configurable period.
• The method can lag during rapid moves and generate losing signals in sideways markets.
• Published BTC/USDT futures settings are provided without performance statistics.

Tags

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