jacobnie2008

Kaufman Adaptive Moving Average

From Stockcharts.com:
"Developed by Perry Kaufman, Kaufman's Adaptive Moving Average ( KAMA ) is a moving average designed to account for market noise or volatility . KAMA will closely follow prices when the price swings are relatively small and the noise is low. KAMA will adjust when the price swings widen and follow prices from a greater distance. This trend-following indicator can be used to identify the overall trend, time turning points and filter price movements."

This is different from other users' KAMA's because it allows the user to adjust more parameters that can adjust the indicator in more precise ways without needing to change the source code.
Remove from Favorite Scripts Add to Favorite Scripts
study(title="Kaufman Adaptive Moving Average", shorttitle="Kaufman Adaptive Moving Average", overlay = true)
Length = input(10, minval=1)
xPrice = close
xvnoise = abs(xPrice - xPrice[1])
Fastend = input(4)
Slowend = input(30)
nfastend = 2/(Fastend + 1)
nslowend = 2/(Slowend + 1)
nsignal = abs(xPrice - xPrice[Length])
nnoise = sum(xvnoise, Length)
nefratio = iff(nnoise != 0, nsignal / nnoise, 0)
nsmooth = pow(nefratio * (nfastend - nslowend) + nslowend, 2) 
nAMA = nz(nAMA[1]) + nsmooth * (xPrice - nz(nAMA[1]))
plot(nAMA, color=blue, title="KAMA")
Ideas Scripts Chart
United States
United Kingdom
India
España
France
Italia
Polska
Brasil
Россия
Türkiye
Indonesia
日本
한국
Home Stock Screener Forex Signal Finder Economic Calendar How It Works Chart Features House Rules Moderators For the WEB Widgets Stock Charting Library Priority Support Feature Request Blog & News FAQ Help & Wiki Twitter
Private Messages Chat Ideas Published Followers Following Priority Support Public Profile Profile Settings Account and Billing Sign Out