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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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