Overall the D-AMA produced results that were near identical to that of the but the D-AMA is a slightly faster average.
It is very difficult to pick between the and the D-AMA but becuase the offers a slightly longer trade duration it the best Moving Average we have tested so far.
In true TradingView spirit, the author of this script has published it open-source, so traders can understand and verify it. Cheers to the author! You may use it for free, but reuse of this code in a publication is governed by House Rules. You can favorite it to use it on a chart.
//@version=2 study("Fractal Dimension Adaptive Moving Average",shorttitle="D-AMA",overlay=true) price=input(hl2) len=input(defval=126,minval=1) fast=input(defval=1,minval=1) slow=input(defval=30,minval=1) change=abs(price-price[len]) len1 = len/2 H1 = highest(high,len1) L1 = lowest(low,len1) N1 = (H1-L1)/len1 H2 = highest(high,len)[len1] L2 = lowest(low,len)[len1] N2 = (H2-L2)/len1 H3 = highest(high,len) L3 = lowest(low,len) N3 = (H3-L3)/len dimen1 = (log(N1+N2)-log(N3))/log(2) diff = iff(N1>0 and N2>0 and N3>0,dimen1,nz(dimen1)) volatility=sum(diff,len) ER=change/volatility fastestSC=(2/(fast+1)) slowestSC=(2/(slow+1)) SC=pow(ER*(fastestSC-slowestSC)+slowestSC,2) out=nz(out)+SC*(price-nz(out)) plot(out,color=teal,title="D-AMA",linewidth=2)