The Kaufman Adaptive Moving Average is a version of the adaptive moving average based on the exponentially smoothed moving average combined with the original methods of detecting and applying volatility as a dynamically changing smoothing constant.
Indicator named Adaptive Moving Average was developed by Perry J. Kaufman and primarily presented in his book titled Smarter Trading: Improving Performance in Changing Markets in 1995.
The indicator has two input parameters:
Period – calculation period;
Applied price – price used for calculations.
Calculations:
KAMA[i] = KAMA[i-1] + sc * (Price[i] - KAMA[i-1])
where:
sc = (er * 0.6015 + 0.0645) * (er * 0.6015 + 0.0645),
er = Abs(Price[i] - Price[i-Period+1]) / Sum1, and
Sum1 = Sum(Abs(Price[i] - Price[i-1])) from (i-Period+1) to i
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