Mean-Reversion Signals from RSI and Linear Regression Bands

Summary

This indicator method applies a linear regression channel to RSI values and treats excursions beyond the channel as potential mean-reversion signals. When RSI rises above the upper band, it marks a possible sell; when RSI falls below the lower band, it marks a possible buy. The underlying premise is that unusually high or low RSI readings may revert toward their fitted mean. The indicator plots the RSI, regression center line, and upper and lower bands, with markers at crossings.

The calculation uses adjustable RSI length, regression lookback, and band-width multiplier; the document supplies example defaults of 21, 200, and 2.0 respectively. These settings control the smoothing horizon and how far RSI must move from the regression line before a signal appears. No market, timeframe, transaction-cost assumptions, or historical results are provided. The mean-reversion premise is not validated here, and RSI movements do not guarantee corresponding price reversals, so the signals require independent testing and risk controls.

Key ideas

• The method builds a linear regression channel around RSI values.
• An RSI move above the upper band is interpreted as a potential sell signal.
• An RSI move below the lower band is interpreted as a potential buy signal.
• RSI length, regression lookback, and band width are adjustable parameters.
• The document provides no evidence that the signals predict price reversals reliably.

Tags

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