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Fractal Dimension Adaptive Moving Average (D-AMA)

http://etfhq.com/blog/2012/01/21/fractal...

Overall the D-AMA produced results that were near identical to that of the FRAMA but the D-AMA is a slightly faster average.
It is very difficult to pick between the FRAMA and the D-AMA but becuase the FRAMA offers a slightly longer trade duration it the best Moving Average we have tested so far.
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//@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[1]))
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[1])+SC*(price-nz(out[1]))

plot(out,color=teal,title="D-AMA",linewidth=2)

Kommentarer

fast=input(defval=1,minval=1), better if use value between 4 and 8 and for slow no more then 24 (same as ema 300) ,value are power by 2
+1 Svara
Hi , i think have to change line 18 with this // dimen1 = (log(N1+N2)-log(N3))/log(len/len1) //
+1 Svara
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