Comparing Fixed and RSI-Adaptive Bollinger Thresholds for Signals

Summary

This expert advisor generates buy and sell signals from overbought and oversold readings across the M15, H1, and H4 timeframes. It compares two ways to set those thresholds. The conventional approach uses fixed RSI levels of 70 and 30. The alternative places Bollinger-style bands around the RSI average, using its recent standard deviation to set adaptive upper and lower boundaries. An RSI value above the calculated upper boundary is described as an overbought condition.

The document reports that strategy tester results for EURUSD on M15 over more than 11 years favored the adaptive-band trigger, with more even results and lower dispersion than the fixed-threshold trigger. However, the reports and detailed statistics are not included in the text, and no transaction costs, parameter sensitivity, out-of-sample validation, or risk-adjusted comparisons are described. The claimed advantage is therefore limited to the cited test setup and cannot establish that the approach generalizes to other markets or periods.

Key ideas

• The advisor compares fixed RSI thresholds with thresholds adapted to the recent RSI distribution.
• The fixed approach uses 70 for overbought and 30 for oversold.
• The adaptive method sets RSI bands around its average using standard deviation.
• The document reports better and more even tester results for the adaptive trigger on EURUSD M15, without providing detailed statistics or robustness checks.

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