This is an experimental study combining the Kaufman Adaptive Moving Average (KAMA) and basic trigonometry to calculate the average angular change of price.
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Updates:
Calculation Updates: -> The previous version of this script was lacking in responsiveness due to the dampened response of Kaufman's Adaptive Moving Average. Due to this, the filter type has been switched to EMA. -> The filtration method is now applied after the angular change is calculated rather than before. The results are a bit more responsive to price movements when applied this way. -> The thresholds are no longer based on arbitrary choices. Instead, they are based on a cumulative average of the AAC's distance from 0.
Decluttering: -> Cleaned up the script. Reduced clutter and removed variables that didn't serve any purpose.
Changed the the aesthetics: -> AAC is now displayed as columns. -> The color scheme has been altered. Easily discern trend direction and whether the market is pulling back or reinforcing the trend. -> Bar colors have been added to the script. The color scheme is the same as the oscillator's color scheme.
Great work. I've not looked at it properly yet but from the description it sounds like a very very useful bit of code.
Thanks very much for posting it.