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Adaptive Laguerre filter

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Adaptive Laguerre: Indicator Documentation

Syntax

DataSeries AdaptiveLaguerre( DataSeries ds, int period );

Parameter Description

bars Bars object
ds Data Series
period Lookback period

Description

The Adaptive Laguerre filter is a variation on the Laguerre filter using a variable gamma factor, based on how well the filter is tracking a past Lookback bars prices. Like other adaptive moving averages, it will track trending moves closely but will change less in range-bound markets.

References:

  • The Laguerre RSI indicator created by John F. Ehlers is described in his book "Cybernetic Analysis for Stocks and Futures". It's a pretty responsive RSI successor constructed using only 4 bars of data, but compared to the regular RSI it has way less noise (whipsaws) considering its fast reaction speed.
  • MESA Software: "Time Warp – Without Space Travel" (by John F. Ehlers; Word document inside an EXE archive) illustrates the LaguerreRSI construction.


Note:

Do not try to apply AdaptiveLaguerre to itself with the same period; it will cause chart to be stuck in an endless loop. If you need to smooth the AdaptiveLaguerre with itself, use a different period.

Example

This example illustrates how to create the Adaptive Laguerre series and plot them:


using System;
using System.Collections.Generic;
using System.Text;
using System.Drawing;
using WealthLab;
using WealthLab.Indicators;
using Community.Indicators; // Adaptive Laguerre here

namespace WealthLab.Strategies { public class AdaptiveLaguerreDemo : WealthScript { protected override void Execute() { // Create a 30-period adaptive Laguerre series on closing price AdaptiveLaguerre al = AdaptiveLaguerre.Series( Bars,Close,30 ); PlotSeries( PricePane, al, Color.Blue, WealthLab.LineStyle.Solid, 2 ); } } }

And here is how another good adaptive moving average, KAMA, compares to Adaptive Laguerre in a short squeeze environment (Volkswagen, daily):

Adaptive Laguerre vs. KAMA

Adaptive Laguerre vs. KAMA

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