Kaufman Adaptive Moving Average

The Kaufman Adaptive Moving Average was created, not surprisingly, by Perry Kaufman. The KAMA takes into consideration the noise of the market. This version of KAMA uses smoothing constants of 2 and 30 for the periods of the shortest and longest moving averages respectively. The user may change the input (close), period length and shift number. This indicator’s definition is further expressed in the condensed code given in the calculation below.

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How To Trade Using the Kaufman Adaptive Moving Average

The Kaufman Adaptive Moving Average is a lagging trend indicator and may be used in conjuction with other studies. No trading signals are calculated.

How To Access in MotiveWave

Go to the top menu, choose Study>Moving Average>Kaufman Adaptive Moving Average

or go to the top menu, choose Add Study, start typing in this study name until you see it appear in the list, click on the study name, click OK.

Important Disclaimer: The information provided on this page is strictly for informational purposes and is not to be construed as advice or solicitation to buy or sell any security. Please see our Risk Disclosure and Performance Disclaimer Statement.


//input = price, user defined, default is close
//period = user defined, default is 20
//shift = user defined, default is 0
//kama = kaufman adaptive moving average
//index = current bar number

kama = kama(index+shift,period,input);