Adaptive Laguerre Filter with Smoothing, Trend Colors, and Higher Timeframes

Summary

This document describes an adaptive Laguerre filter based on a method attributed to John Ehlers. It says the implementation supports Laguerre polynomials of different orders, with order four as the default. Adaptation can be controlled through a smoothing period and a smoothing-mode setting, for which median is the default. These parameters determine how the filter responds to changing conditions, though the text does not define the underlying calculation in detail.

The indicator can also be configured as a non-adaptive Laguerre filter by using a bar-length setting and disabling adaptive mode. Additional options allow the filter to highlight trend direction with colors and to be built from higher-timeframe data. The document gives no entry or exit rules, market examples, backtest, or performance evidence. It therefore outlines configuration choices rather than validating the filter as a trading signal; users would need to test its behavior and settings on their own instruments and timeframes.

Key ideas

• The indicator uses an adaptive Laguerre filter method attributed to John Ehlers.
• Users can set the polynomial order and choose how the adaptive smoothing factor is smoothed.
• A length setting and disabled adaptive mode allow a non-adaptive version.
• Optional settings provide trend coloring and higher-timeframe construction.
• The description gives no trading rules or performance evidence.

Tags

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