Adaptive MA Difference constructor [lastguru]

A complimentary indicator to my Adaptive MA constructor. It calculates the difference between the two MA lines (inspired by the Moving Average Difference (MAD) indicator by John F. Ehlers). You can then further smooth the resulting curve. The parameters and options are explained here:

The difference is normalized by dividing the difference by twice its Root mean square (RMS) over Slow MA length. Inverse Fisher Transform is then used to force the -1..1 range.

Same Postfilter options are provided as in my Adaptive Oscillator constructor:

Stochastic - Stochastic
Super Smooth Stochastic - Super Smooth Stochastic (part of MESA Stochastic ) by John F. Ehlers
Inverse Fisher Transform - Inverse Fisher Transform
Noise Elimination Technology - a simplified Kendall correlation algorithm "Noise Elimination Technology" by John F. Ehlers
Momentum - momentum (derivative)

Except for Inverse Fisher Transform, all Postfilter algorithms can have Length parameter. If it is not specified (set to 0), then the calculated Slow MA Length is used.

版本注释

If MA Difference Filter/MA Length is less than 2 or Postfilter Length is less than 1, they are calculated as a multiplier of Slow MA length

版本注释

Library update: fixed vidyaRS calculation
In case Length Adaptation is enabled, but Slow or Fast Cycle is 0, use static Length for that Moving Average instead
Two Postfilters can now be used

版本注释

New MA added: Relative Strength Super Smoother based on Vitali Apirine's RS EMA, but with Super Smoother. Looks like an excellent dynamic MA, deserving its own place in the collection!