Triple EMA Crossover Trading with Session Filters

Summary

This strategy uses fast, standard, and slow exponential moving averages to identify directional crossovers. The specified periods are 25, 50, and 100 bars; the fast line crossing both slower lines generates a long or short signal. The method also restricts entries to London or New York trading sessions and describes sizing risk as a percentage of account equity. Its implementation applies a second smoothing step to the EMA series, with take-profit and stop-loss inputs. Although the narrative frames the approach around major currency pairs on a one-minute chart, the published backtest settings instead specify BTC/USDT futures on a 15-minute chart over a brief period. No performance figures are supplied.

The system is a trend-following crossover strategy, and session filters are intended to focus activity during major market hours. Crossovers can lag or whipsaw, and the document notes exposure to event-driven moves, transaction costs, and the limitations of fixed-percentage sizing. It also points out that the stated strategy lacks an effective standalone loss-control mechanism in its conceptual description, despite stop inputs in the implementation. The suggested EMA changes, additional filters, and dynamic sizing remain untested proposals; the short published test cannot establish reliability.

Key ideas

• The fast EMA crosses above or below two slower EMAs to signal direction.
• The stated EMA periods are 25, 50, and 100 bars, with an additional smoothing step.
• Entry signals are restricted to London and New York sessions, and sizing is tied to account equity.
• Crossover lag, whipsaws, costs, and fixed sizing are important limitations.
• The narrative and backtest settings describe different markets and timeframes, and no results are reported.

Tags

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