Next: Median-Average Adaptive Filter, Previous: Kaufman Adaptive Moving Average, Up: Averages [Index]

http://www.mesasoftware.com/technicalpapers.htm

http://www.mesasoftware.com/Papers/TIME%20WARP.pdf

The Laguerre Filter by John Elhers is a smoothing filter based on Laguerre polynomials. Its first term is an EMA (see Exponential Moving Average), followed by certain feedback terms. The smoothing is controlled by an alpha factor which is the alpha for the EMA and also damps the further terms. Alpha can range from 1 to follow prices almost exactly, down to 0 for a very slow response.

The result is still a weighted average of past prices. The weights for
example for the default *alpha=0.2* are as follows.

The adaptive laguerre filter is a variation on the laguerre filter using a variable alpha factor which is based on how well the filter is tracking a past N days prices. The effect is to follow sustained moves quite closely, but to change little when prices chop back and forwards in a range.

The raw alpha values can be viewed as “Adaptive Laguerre Alpha” in the lower indicator window, under “Low Priority” near the end of the indicator lists. High values mean closely tracking prices, low values mean only slow response.

Copyright 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2014, 2015, 2016, 2017 Kevin Ryde

Chart is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3, or (at your option) any later version.