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Adaptive Wilders Smoothing for Metastock
Rating:
5 / 5 (Votes 1)
Tags:
metastock
Just Advanced wilders M.A but effective
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Indicator / Formula
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method:=Input("Method (1=Cycle, 2=Volatility, 3=Combined): ", 1,3,1); {-----Begin Cycle Method----------} plot:=Zig(MESASineWave(70),10,%); top:=plot<Ref(plot,-1) AND Ref(plot,-1)>Ref(plot,-2); NumberOfPeaks:=Cum(top); BarsBetweenPeaks:=If(top,Ref(BarsSince(top),-1),0); TotalBarsBetPeaks:=Cum(BarsBetweenPeaks); AvgBarsBetweenPeaks:=TotalBarsBetPeaks/NumberOfPeaks; LookBackMethod1:=Int(Rnd(AvgBarsBetweenPeaks/2)); {-----Begin Normalized Volatility Method----------} Volatility:=(LinRegSlope((STE(C,20)/C)*100 ,9)/If(STE((STE(C,20)/C)*100,9)=0,.0001,STE((STE(C,20)/C)*100,9))) *100; divisor:=If(volatility<=0,1-(Abs(volatility)/1000),1+(Abs(volatility)/1000)); {the smaller the divisor(i.e., higher volatility) the shorter the lookback periods} LookbackMethod2:=20/(1.5*divisor); Lookbackmethod3:=LookbackMethod1/(1.5*divisor); {-----Final Calculation and Plot------} If(method=1, Wilders(C, LastValue(Rnd(LookbackMethod1)+PREV-PREV)), If(method=2, Wilders(C, LastValue(Rnd(LookbackMethod2)+PREV-PREV)), If(method=3, Wilders(C, LastValue(Rnd(LookbackMethod3)+PREV-PREV)),0)))
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its error in 1 line
Nice 1