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Hi Preston:
Thank for your link, the rescaling indicators are the issue to
combine indicators together, such as
Simple MA Osc norm to Std Dev
S:=OscP(4,8,S,$)/Stdev(C,8); Before Normalization
T:=S/Highest(S); After Normalization, range will be between -1 and 1
I can use the Highest(S) for scaling in this case, however,
when I use the function Highest(), then it will pick the maximum
value based on the available loaded data in Metastock, which cause
the problem on the value of T, since the maximum value keeps changing
according to different length of loaded periods. Then I think of
using a fixed length period to determine the Maximum value of S for
scaling. At this point, I get no idea how to choose the period
length, do you have any suggestion please?
On the other hand, in term of combining different indicators into one,
do you have any idea on how to determine the weighting factor for
each indicators? I understand the neural network will determine it,
but in my case, I need to combine indicators manually,
such as 4 indicators together, do you have any idea please?
Thank you
Eric
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