Dual Moving Average Signals Filtered by RSI

Summary

This strategy combines a fast and a slow simple moving average with an RSI filter. A fast-average crossover above the slow average can open a long when RSI is below its overbought threshold; a downward crossover can open a short when RSI is above its oversold threshold. Longs close when RSI rises above the upper threshold, and shorts close when it falls below the lower threshold. The document frames this combination as machine-learning inspired, but the described rules use standard technical indicators rather than a machine-learning model.

The write-up gives default indicator settings and a BTC/USDT futures backtest period, but no performance results. It cautions that moving averages lag and can whipsaw in sideways markets, that outcomes may depend on parameter choices, and that the rules lack an explicit stop loss. It proposes possible extensions such as trend-strength or volume filters, adaptive parameters, and ATR-based stops. These are suggestions rather than tested improvements, so the strategy’s effectiveness remains unestablished by the evidence provided.

Key ideas

• The strategy uses fast and slow simple moving averages to signal possible trend changes.
• RSI conditions filter crossover entries and define exits at overbought or oversold thresholds.
• The method is described as machine-learning inspired but does not use a machine-learning algorithm.
• Moving-average lag and sideways-market crossovers can cause delayed trades and whipsaws.
• No explicit stop loss or backtest performance results are provided.

Tags

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