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Adaptive RSI Thresholds Using Bollinger Bands

Article MQL5 code base

Summary

The expert advisor compares two ways to define overbought and oversold RSI readings. Its first trigger uses fixed RSI thresholds, typically 70 and 30. Its second trigger calculates an average RSI and standard deviation from past bars, then sets upper and lower thresholds by applying an adjustable standard-deviation multiplier. The described setup defines zones across M15, H1, and H4 timeframes and executes on EURUSD M15.

The document reports Strategy Tester comparisons over February 2005 through January 2016. It says the adaptive trigger had stronger and more uniform performance than the fixed-threshold trigger, while requiring fewer external parameters. However, the reports themselves and their metrics are not included in the text, so the claim cannot be independently assessed here. The results are historical tests of one currency pair and setup; they do not establish that the approach will generalize to other markets or future conditions.

Key ideas

  • The advisor compares fixed RSI thresholds with thresholds that adapt to the recent RSI distribution.
  • The adaptive method centers its overbought and oversold levels on average RSI and scales them using standard deviation.
  • The described configuration uses several timeframes to define RSI zones and EURUSD M15 for execution.
  • The text reports better and more uniform historical test performance for the adaptive trigger, but supplies no underlying metrics.

Tags

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