Trend Following with Fast and Slow Moving Average Crossovers

Summary

This trend-following strategy compares a faster and a slower moving average. A bullish crossover is treated as a long signal and a bearish crossover as a short signal, with each direction independently enabled. Users can choose from seven average types, set lookback lengths and price sources, and optionally apply a candle-color condition. The published configuration uses a BTC/USDT futures market and covers January 2024, but reports no return, drawdown, or trade statistics; it is not evidence of profitability.

The document notes that moving averages lag and can generate false signals in choppy markets. It proposes testing different lengths and average types, adding filters such as volume or Bollinger Bands, and revisiting position sizing. The strategy’s simplicity makes its signal logic easy to inspect, but the source also contains implementation details that do not perfectly match the prose description, so the exact entry behavior should be checked before relying on it.

Key ideas

• The strategy uses crossovers between fast and slow moving averages to indicate trend direction.
• It supports seven average methods and configurable lengths and price inputs.
• Long and short entries can be enabled separately, with an optional candle-color condition.
• The stated limitations include lag, whipsaws, and false signals in ranging markets.
• The published one-month backtest settings include no reported performance metrics.

Tags

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