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Re: [EquisMetaStock Group] Triple Moving Average



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Paul,
Thanks heaps for your input, I had another crack at the problem and 
solved it with the formula ((colC-colB)-(colB-colA))<c/1000. In this 
way the difference in the averages is allowed a 0.1% variance of the 
closing price. Seneitivity can be adjusted by changing the divisor.

Regards,
Tom



> Tom,
> Is this what you want:
> colB-colA<(colC-colB)*0.99 and colB-ColA<(colC-colB)*1.01  ?
> Regards
> Paul
>   ----- Original Message ----- 
>   From: tomhernach 
>   To: equismetastock@xxxxxxxxxxxxxxx 
>   Sent: Tuesday, March 15, 2005 1:13 AM
>   Subject: [EquisMetaStock Group] Triple Moving Average
> 
> 
> 
> 
>   I've been working on Dawn Balton Smith's triple moving
>   average, 
>   which is a five, fifteen, thirty simple moving average based on 
the 
>   close. Now one characteristic of this set of averages is that 
when 
>   the averages are equidistant from each other or if they are 
>   clustered, this is supposed to be a strong indication for a 
trend 
>   reversal.
>   I'm trying to write a Metastock exploration to find when the 
>   averages are both clustered or equidistant. 
>   So far I have set each average in column A, B, and C 
respectively 
>   ie. Mov(close,5,s) in column A, Mov(close,15,s) in column B and 
Mov
>   (close,30,s) in column C.
>   In the filters column I have ColB-ColA=ColC-ColB.
>   This works but the problem is that the averages are calculated 
to 
>   four decimal places, which is too exact and the exploration
>   doesn't 
>   come out with enough results. I need to adjust it to get say a 
0.5% 
>   margin for error, which would give the averages a couple of 
ticks 
>   leeway.
>   Does anyone have any idea how I can loosen up the criteria a bit 
to 
>   get more results out of the exploration. Any tips would be 
greatly 
>   appreciated.
> 
>   Regards, Tom 
> 
> 
> 
> 
> 
> 
> 
> 
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