Moving Average Crossovers with Trend Filtering and Position Controls

Summary

This note explains a price moving average crossover strategy that uses a faster average for shorter moves and a slower average to represent the broader trend. A change from below to above the slower line signals a long position; a cross below signals a short position. The described implementation allows seven average types, adjustable lengths and offsets, a filter intended to reduce whipsaws, date limits, and position sizing based on equity.

The document gives no performance results. It identifies lagging signals and excessive turnover as key risks, and suggests stop losses, added filters, parameter checks across market conditions, and pausing during extreme volatility. The source describes a BTC/USDT futures backtest setup, but the article does not report its outcome. Its claims about robustness and suitability are therefore not supported by comparative results, and crossover parameters may behave differently across markets and timeframes.

Key ideas

• A faster average crossing above or below a slower average changes the strategy’s directional bias.
• The implementation offers several average types and adjustable lengths, sources, and offsets.
• A filter based on price relative to the average is intended to reduce whipsaw signals.
• Lagging crosses and frequent trades can increase losses and transaction costs.
• The document recommends testing parameters and risk controls across different market conditions.

Tags

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