Adaptive MA Difference constructor [lastguru]

2022年3月27日

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.

2022年3月27日

發行說明

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

2022年4月16日

發行說明

• 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
  

2022年4月17日

發行說明

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!