Dual Moving Average Crossover for Trend Following

Summary

This document describes a dual moving average strategy that uses a fast average and a slow average to identify trend changes. A bullish crossover opens a long position, while a bearish crossover opens a short position. The example uses 10-period and 50-period averages and includes percentage-based stop settings. It also gives a one-month backtest configuration for BTC_USDT futures, but reports no performance results, so it provides no evidence that the strategy was profitable.

The approach is simple to implement and may capture sustained moves, but moving averages lag and can generate repeated false signals in sideways markets. The document recommends testing parameter choices, adding filters, and applying position sizing and risk controls. It also notes that sudden news events are not covered. Its suggested improvements are proposals rather than validated findings.

Key ideas

• A fast moving average crossing above a slow average triggers a long entry, while a downward crossover triggers a short entry.
• The example uses 10-period and 50-period averages with a percentage-based stop setting.
• The document gives a BTC_USDT futures backtest period but does not report performance results.
• Sideways markets can produce whipsaws, and moving average signals may arrive late.
• Position sizing, additional filters, and further backtesting are suggested as possible improvements.

Tags

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