HPotter

Kaufman Moving Average Adaptive (KAMA)

Everyone wants a short-term, fast trading trend that works without large
losses. That combination does not exist. But it is possible to have fast
trading trends in which one must get in or out of the market quickly, but
these have the distinct disadvantage of being whipsawed by market noise
when the market is volatile in a sideways trending market. During these
periods, the trader is jumping in and out of positions with no profit-making
trend in sight. In an attempt to overcome the problem of noise and still be
able to get closer to the actual change of the trend, Kaufman developed an
indicator that adapts to market movement. This indicator, an adaptive moving
average (AMA), moves very slowly when markets are moving sideways but moves
swiftly when the markets also move swiftly, change directions or break out of
a trading range.
즐겨찾기 스크립트에서 빼기 즐겨찾기 스크립트에 넣기
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//  Copyright by HPotter v1.0 11/07/2014
// Everyone wants a short-term, fast trading trend that works without large
// losses. That combination does not exist. But it is possible to have fast
// trading trends in which one must get in or out of the market quickly, but
// these have the distinct disadvantage of being whipsawed by market noise
// when the market is volatile in a sideways trending market. During these
// periods, the trader is jumping in and out of positions with no profit-making
// trend in sight. In an attempt to overcome the problem of noise and still be
// able to get closer to the actual change of the trend, Kaufman developed an
// indicator that adapts to market movement. This indicator, an adaptive moving
// average (AMA), moves very slowly when markets are moving sideways but moves
// swiftly when the markets also move swiftly, change directions or break out of
// a trading range.
////////////////////////////////////////////////////////////
study(title="Kaufman Moving Average Adaptive (KAMA)", shorttitle="Kaufman Moving Average Adaptive (KAMA)", overlay = true)
Length = input(21, minval=1)
xPrice = close
xvnoise = abs(xPrice - xPrice[1])
nfastend = 0.666
nslowend = 0.0645
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")
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Great Job As Usual,


Thanks A Million HPotter of the Codes

All The Best...
응답
@ZAQDA, You are welcome
응답
For those that want to use with pinescript v3:

nAMA = 0.0
nAMA := nz(nAMA) + nsmooth * (xPrice - nz(nAMA))
+3 응답
HPotter hexelbyte
@hexelbyte, Thank you. It will very helpful for other.
+1 응답
Many Thanks !
+1 응답
HPotter Mirandole
You are welcome.
응답
홈으로 스탁 스크리너 포렉스 스크리너 크립토 스크리너 이코노믹 캘린더 사용안내 차트 특징 프라이싱 하우스룰(내부규정) 파인 위저드 모더레이터 웹사이트 & 브로커 솔루션 위젯 차팅 솔루션 라이트웨이트 차팅 라이브러리 헬프 센터 프렌드 리퍼하기 기능 개발/개선 요청 블로그 & 뉴스 트위터
프로화일 프로화일설정 계정 및 빌링 프렌드 리퍼하기 나의 서포트 티켓 헬프 센터 공개아이디어 팔로어 팔로잉 비밀메시지 채팅 로그아웃