Hi forum.. I’m trying to create a breadth index using Jose Adp (Extfml("ASI.Stoch"), the problem is how do I create so it goes between 0-100, or any other good ideas to get I work better.. regards mike :) {Adaptive Stochastic Breadth Index} Prds:=40; LenMin:=5; LenMax:=25; v1:=Stdev(C,Prds); v2:=HHV(v1,Prds); v3:=LLV(v1,Prds); v4:=If((v2-v3)>0,(v1-v3)/(v2-v3),0); currlen:=Int(LenMin+(LenMax-Lenmin)*(1-v4)); ABC:=Security("C:\\MetaStock Data\\MetaStock Data DDE\\stock1",C); ABD:=Security("C:\\MetaStock Data\\MetaStock Data DDE\\stock2",C); ABE:=Security("C:\\MetaStock Data\\MetaStock Data DDE\\stock3",C); ABF:=Security("C:\\MetaStock Data\\MetaStock Data DDE\\stock4",C); ABG:=Security("C:\\MetaStock Data\\MetaStock Data DDE\\stock5",C); Sto:=(ABC+ABD+ABE+ABF+ABG/5)+Mov(ExtFml("ASI.Stoch",currlen),5,E); Sto;

Hi Stockman... I agree with you It isn’t pretty, still the same whit your code :? ...I don’t know if this is really possible. I’m using a folder with 1min data to create this index and my thoughts was that to add the stocks together and use Stochastic to give a quicker reaction to a normal Stock index. The 5 stocks make the higher turnover and are highest weight in a index... Regards mike

There you go... the perfect answer. You've posted that before, I forgot. :oops:

I'm thinking something along this line (original code and concept by Jose Silva): [code:1:d71d012ba0]pds:=Input("Normalizing lookback periods (1= historical Hi/Lo)",1,2600,126); Prds:=40; LenMin:=5; LenMax:=25; v1:=Stdev(C,Prds); v2:=HHV(v1,Prds); v3:=LLV(v1,Prds); v4:=If((v2-v3)>0,(v1-v3)/(v2-v3),0); currlen:=Int(LenMin+(LenMax-Lenmin)*(1-v4)); ABC:=Security("C:\\MetaStock Data\\MetaStock Data DDE\\stock1",C); ABD:=Security("C:\\MetaStock Data\\MetaStock Data DDE\\stock2",C); ABE:=Security("C:\\MetaStock Data\\MetaStock Data DDE\\stock3",C); ABF:=Security("C:\\MetaStock Data\\MetaStock Data DDE\\stock4",C); ABG:=Security("C:\\MetaStock Data\\MetaStock Data DDE\\stock5",C); PriceX:=(ABC+ABD+ABE+ABF+ABG/5)+Mov(ExtFml("ASI.Stoch",currlen),5,E); { Choose x pds or historical Price High/Low } Hi:=If(pds>1,HHV(PriceX,pds),Highest(PriceX)); Lo:=If(pds>1,LLV(PriceX,pds),Lowest(PriceX)); { Price normalized to 0~100% } PriceNorm:=(PriceX-Lo)/Max(Hi-Lo,.000001)*100; PriceNorm[/code:1:d71d012ba0]