Open–Close Moving Average Crossover for Crypto Trend Following

Summary

This strategy compares moving averages of bar opens and closes to generate long entries and exits. It offers five average types—EMA, SMA, RMA, WMA, and VWMA—and a configurable lookback. A close-price average crossing above the open-price average signals entry; crossing below signals exit. The document describes this as a way to follow price trends across cryptocurrency pairs.

The strategy discussion says results can vary substantially by pair and parameter choice, and claims that some combinations perform well, but it provides no performance figures or comparative test evidence. The published backtest configuration covers BTC_USDT futures over one month on a two-hour period, which is too limited to establish broader performance. The author notes that the method can lag short-term moves, may fare poorly on highly volatile coins, and uses subjective period selection. Longer chart intervals and systematic or adaptive parameter selection are suggested, but not evaluated.

Key ideas

• The strategy compares moving averages of open and close prices using one of five selectable average types.
• A crossover of the close average above the open average opens a long position, while a downward crossover closes it.
• Lookback and average type can be tuned, but their effects may differ across crypto pairs.
• The document warns that lag and subjective parameter choices can limit performance, especially in volatile markets.
• The included BTC_USDT futures backtest settings do not provide performance results.

Tags

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