Dual Exponential Moving Average Trend Signals

Summary

This trend-following strategy compares price with a short exponential moving average and that average with a longer one. Its example uses periods of 5 and 21, applying each EMA twice. When price is above the short average and the short average is above the long one, the strategy enters long; when both relationships turn negative, it exits. It mirrors those rules for short positions and limits new entries to a stated time session.

The document presents BTC/USDT Binance futures backtest settings for December 2023, using hourly strategy data and a 15-minute base period, but gives no performance results. The explanation identifies delayed signals, whipsaws in ranging markets, and difficulty choosing periods as limitations. It proposes volume checks, dynamic stops, and other filters, but the supplied rules do not show a stop-loss or volume confirmation. The stated periods are examples, not evidence of optimal settings, and the short test window cannot establish robustness across regimes.

Key ideas

• The strategy uses price-to-short-EMA and short-to-long-EMA relationships to classify direction.
• The example applies double-smoothed exponential averages with periods of 5 and 21.
• It enters long or short when both comparisons align and exits when both reverse.
• New entries are restricted to a specified time session.
• The published backtest setup reports no results, and the described method may lag or whipsaw.

Tags

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