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------} {Note: Longer moving average is FIXED at twice the shorter MA} If(method=1, OscP(LastValue(Rnd(0.25*LookbackMethod1)+PREV-PREV),LastValue(Rnd(LookbackMethod1)+PREV-PREV),E,$), If(method=2, OscP(LastValue(Rnd(0.25*LookbackMethod2)+PREV-PREV),LastValue(Rnd(LookbackMethod2)+PREV-PREV),E,$), If(method=3, OscP(LastValue(Rnd(0.25*LookbackMethod3)+PREV-PREV),LastValue(Rnd(LookbackMethod3)+PREV-PREV),E,$),0))) ====================================== The above formula is of MS 11 Adaptive Volume Oscillator. Can any one add the required code where in I can change the color when the indicator oscillates below and above 0.

As discussed in Decemeber 2009 and two subsequent MSTT issues, the Adaptive indicators released with MetaStock version 11 are suspect in several ways.

Firstly as I recall, most adaptive indicators have 6 PREV functions, and some as many as 12 PREV functions. Two thirds of these can be easily eliminated simply by rearranging the "Final Calculation and Plot" section of code shown below...



then becomes...



Secondly, results from either of the PREV layouts shown above generate irregular but persistent anomalies that are clearly not the correct value. These anomalies appear in all adaptive functions and are not confined to just rSquared().

Thirdly, PREV can be eliminated from most adaptive functions simply by repacing the standard MetaStock function with the Forum DLL version or by recreating the function with a combination of MFL and the Forum DLL. By eliminating PREV the above mentioned anomalies disappear and the shackles are removed in terms of execution speed.

Finally, the Cycle method of generating an adaptive lookback range, as used in methods 1 and 3, is fundamentally flawed. It can be easily demonstrated that the cycle method's "adaptive" ability progressively reduces as the amount of data loaded increases. Therefore, it would seem that only method 2 is of any practical use.

Roy