This formulation is in every algebra book and used in school often
because it is quicker even for human to calculate that way.

Best regards,
Tomasz Janeczko
amibroker.com
----- Original Message ----- 
From: "brian_z111" <[email protected]>
To: <[email protected]>
Sent: Monday, June 15, 2009 12:06 AM
Subject: [amibroker] Re: How to code a Adaptive StDev()


> Nice work Bruce.
> 
> I was trying to make up my own algebraic equivalent in lieu of a reference 
> source, or sources.
> 
> 
> Did you get 'your' version of StDev from a reference of is it your own work?
> 
> --- In [email protected], "bruce1r" <bru...@...> wrote:
>>
>> Herman, Mike, all - just checking in and think I can offer a quick
>> suggestion and some code that I have handy.
>> 
>> 1.  StDev() is a function that is not implemented as a variable period
>> function, but can be with a slight caveat.  Because this uses an
>> alternative, but algebraically equivalent formulation, that employs a
>> "data^2" term, it loses precision at about the 5th significant digit. 
>> That is close enough for most work, though.  So, anyway, this one liner
>> function will give a fast, variable period StDev ( IOW, vper can be a
>> varying array) -
>> 
>> function StDevVarPer( data, Vper )
>> {
>> return  sqrt( MA( data ^ 2, vper ) - MA( data, vper ) ^ 2 );
>> }
>> 
>> 2.  This is fast even with large numbers of 1 minute bars, but it is
>> usually best to control QuickAFL with a statement like the following as
>> the LAST STATEMENT in the program to yield maximum performance -
>> 
>> SetBarsRequired( 500, 0 );
>> 
>> Remember that with QuickAFL in an indicator, the first execution after
>> an edit or insert passes the entire array to set the bar requirement,
>> then QuickAFL is in force on a subset.
>> 
>> -- BruceR
>>
> 
> 
> 
> 
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