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Regression Channels and Adaptive Stop-and-Reversal Levels

Article MQL5 code base

Summary

This indicator combines a straight-line regression to estimate trend direction with a curved regression channel to represent changing support and resistance. It measures price dispersion using root-mean-square deviation, then applies Fibonacci coefficients to construct channel boundaries and adaptive stop and stop-reversal levels. The displayed levels switch sides after a bar closes beyond a stop threshold, which the author treats as a possible short-term trend change or retracement.

The described interpretations include watching the curved channel cross the trend line for signs of trend exhaustion or strengthening, and judging price excursions relative to channel boundaries alongside readings from higher and lower timeframes. The channel is recalculated as new bars arrive, so historical lines can change. The document offers conceptual rules and parameter suggestions, including regression degree and a deviation multiplier, but provides no backtest, measured predictive accuracy or explicit transaction rules. Its signals therefore remain interpretive and may be sensitive to timeframe, parameter choices and recalculation.

Key ideas

  • A straight regression line estimates the current trend, while a curved regression channel depicts dynamic support and resistance.
  • Root-mean-square price deviation and Fibonacci coefficients are used to derive channel boundaries and adaptive stop levels.
  • A close beyond a stop level causes the displayed levels to reverse sides and may signal a short-term change.
  • Crossings between the curved channel and trend line are interpreted as possible trend exhaustion or strengthening.
  • The document supplies interpretation guidance but no performance testing, and its channel redraws with each new bar.

Tags

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