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Adaptive Laguerre Filter with In-Core Smoothing

Article MQL5 code base

Summary

This indicator modifies an adaptive Laguerre filter by applying smoothing within the filter’s calculation rather than adding a separate moving average. The stated aim is to keep lag low while allowing the smoothing strength to be adjusted independently. Its smoothing coefficient can range from zero upward, subject to platform limits, so users can experiment with stronger smoothing settings as well as lighter ones.

The document also notes support for 22 price inputs, alerts, and multiple timeframes. It provides no formula, parameter guidance, chart examples, or performance tests, so it does not show how the filter behaves across different markets or settings. Traders would need to evaluate responsiveness and signal quality themselves; the description alone does not establish that reduced lag or added flexibility improves trading results.

Key ideas

  • Smoothing is incorporated into the adaptive Laguerre filter calculation rather than applied through a separate average.
  • The design is intended to limit lag while allowing the smoothing coefficient to vary widely.
  • The indicator supports multiple price inputs, alerts, and multi-timeframe use.
  • The document provides no empirical evidence or detailed guidance for selecting parameters.

Tags

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