RSI Mean Reversion Filtered by Trend Strength and Volatility

Summary

This document describes an RSI mean-reversion strategy that seeks reversals at overbought and oversold readings, while filtering trades according to trend strength and recent volatility. It uses a moving average to assess market direction and avoids trading when the measured trend is too strong; a minimum volatility condition is also required. The described risk controls include fixed stop and profit levels, equity-based trade sizing, and limited pyramiding. Entries require both an extreme RSI reading and suitable market conditions, with exits based on an opposite RSI extreme or the risk limits.

The document gives specific indicator thresholds and sizing examples, but the provided text contains no verified performance statistics or comparative test results. It highlights parameter sensitivity, lagging trend assessments, over-filtering, and slippage during extreme markets. The suggested dynamic thresholds, ATR stops, partial exits, multiple timeframes, and machine-learning filters are proposals for future testing, not established improvements. The framework is presented as most suitable for sufficiently volatile, ranging or weak-trend conditions.

Key ideas

• RSI extremes provide the basic reversal signals, while trend and volatility checks determine whether to trade.
• The strategy avoids conditions where trend strength exceeds its stated limit.
• Risk controls include stop and profit levels, equity-based sizing, and capped pyramiding.
• Slippage can cause realized losses to exceed planned stops during extreme moves.
• The document proposes enhancements but does not provide verified performance evidence.

Tags

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