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[EquisMetaStock Group] Re: Adaptive Moving Average



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Hi grizz

Yes that's exactly the same formula I'm using. I got mine originally 
from a book called "New Trading Dimensions" by Florek but I'm not 
sure at the moment wether it exists in english language or not.The 
AMA-Formula I posted earlier was with periods set as 10 according to 
the original rules in Kaufmans book "Smarter trading". Also the 
periods for filtering the buy and sell signals is set to 20 for the 
same reason. 

In my opinion the idea of Kaufman souds quite logical to me and he 
mentions to only adjust the filter. The worst that you can do to such 
a system is overfitting the whole thing (guess what: I know what I'm 
talking about 'cause I lost "some" money with a system that was close 
to the "grail". Unfortunately just in one timeframe - the one it was 
(over)optimised.

Got MS8.0 Pro on a second computer and I got different results than 
with 7.02 EOD on the same data. Seems that I have tho check things 
like order bias ect. 

Happy trades

praktikus

 

--- In equismetastock@xxxx, "grizz003" <grizz002@xxxx> wrote:
> TO: Prakticus
> 
> 
> >For my own small piece of fortune I trade a moving average System 
as 
> >explained by Perry Kaufman in "Smarter Trading" (the adaptive 
moving 
> >average) with European bonds 
> 
> Prakticus,
> I was able find the AMA formula at: 
> http://www.guppytraders.com/Metastock%20Formulas/formula%20index.htm
> 
> Is this what you are using with good success?  How are you using 
it? 
> This formula does look impressive...
> Grizz
> 
> {Adaptive Moving Average by Perry Kauffman}
> {Described in S&C 06/1995 - Metastock ver 6.5 or higher}
> 
> Periods := 10;  Direction := CLOSE - Ref(CLOSE,-periods);
> Volatility := Sum(Abs(ROC(CLOSE,1,$)),periods);
> ER := Abs(Direction/Volatility);
> FastSC := 2/(2 + 1);  SlowSC := 2/(30 + 1);
> SSC := ER * (FastSC - SlowSC) + SlowSC;
> Constant := Pwr(SSC,2);
> AMA := If(Cum(1) = periods +1, Ref(CLOSE,-1) + constant * (CLOSE - 
Ref
> (CLOSE,-1)),
> PREV + constant * (CLOSE - PREV));
> AMA;


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