Dual-Timeframe EMA Trend Filter with Hourly Entries

Summary

This strategy uses daily exponential moving averages to define the broader trend and hourly EMA crossovers to time trades. It enters a long position when the daily fast average is above the slow average and the hourly fast average crosses above its counterpart. It closes that position on an hourly downward crossover while the daily trend condition remains bullish. The published parameter set uses separate fast and slow periods for each timeframe.

A BTC/USDT Binance futures backtest configuration is provided for roughly one year, but the document gives no performance statistics or evidence that the approach was profitable. It notes that an incorrect daily trend reading can expose the strategy to losses and that hourly volatility can generate false signals. Parameter tuning, added filters, and adaptive stops are suggested as possible improvements, though no results for those changes are presented.

Key ideas

• Daily fast and slow EMAs define the permitted long-trend regime.
• Hourly EMA crossovers provide long entries and exits within that regime.
• The described rules do not specify a short-entry strategy.
• Hourly noise and incorrect higher-timeframe trend classification can produce losses or false signals.
• The published backtest setup reports no performance results.

Tags

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