Dual Moving Average and RSI Signals with ATR Stops

Summary

The described approach uses a fast and slow moving average to identify direction, then applies RSI thresholds as a momentum filter. A fast average crossing above the slow average permits a long when RSI is above its overbought threshold; a downward cross permits a short when RSI is below its oversold threshold. The text describes reversals as opportunities to switch position and proposes trailing stops and position sizing as possible controls. It also outlines parameter tuning for the averages and RSI.

The document supplies a BTC/USDT Binance futures test configuration for a short stated period, but includes no performance measures or conclusions from that test. There is a material mismatch between the prose and source: the code uses a converging adaptive average and QQE-style smoothed RSI thresholds, not the stated 10-day weighted and 100-day linear adaptive averages with conventional RSI cross rules. The code also calculates ATR stop levels. The strategy is parameter-sensitive, and the provided test window is too limited to establish robustness.

Key ideas

• The described entry logic combines a fast and slow average crossover with an RSI threshold filter.
• The text proposes switching direction when the opposite signal occurs and suggests trailing stops and position sizing.
• The source uses adaptive average and QQE-style conditions that differ from the prose description.
• ATR-derived stop levels appear in the source, but no backtest performance results are reported.
• Parameter sensitivity and the short stated test window limit conclusions about robustness.

Tags

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