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RE: [EquisMetaStock Group] Phased MA for MetaStock



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Really now, just consider the context in which a word/acronym appears.

Lionel 

-----Original Message-----
From: equismetastock@xxxxxxxxxxxxxxx [mailto:equismetastock@xxxxxxxxxxxxxxx]
On Behalf Of Ron Berlin
Sent: Tuesday, January 16, 2007 8:06 AM
To: equismetastock@xxxxxxxxxxxxxxx
Subject: RE: [EquisMetaStock Group] Phased MA for MetaStock

Not sure that change is a good one.

Produce Marketing Association
Photo Marketing Association
Precision Metalforming Association
Pacific Maritime Association
Promotion Marketing Association
Pilates Method Alliance
Philippine Military Academy
Property Management Association

Just for a start...

;-)


>From: "Jose Silva" <josesilva22@xxxxxxxxx>
>Reply-To: equismetastock@xxxxxxxxxxxxxxx
>To: equismetastock@xxxxxxxxxxxxxxx
>Subject: [EquisMetaStock Group] Phased MA for MetaStock
>Date: Mon, 15 Jan 2007 23:13:31 -0000
>
>My last posted code may have generated some confusion - better to 
>change "JMA" for "PMA" just in case some of these good people get upset:
>
>JMA Inc.
>JMA Forensics
>JMA Groups
>JMA Graphics
>JMA Software
>JMA Legal
>JMA Consulting
>JMA Engineering
>Japan Medical Association
>Japan Meteorological Agency
>Japan Management Association
>Japan Marketing Association
>Jamaica Manufacturers' Association
>John Mitchell & Associates
>Jurik Moving Average
>
>
>MetaStock -> Tools -> Indicator Builder -> New
>-> copy & paste complete formula between "---8<---" lines.
>
>===========
>MA - phased
>===========
>---8<-----------------------------------------
>
>{ PMA v1.0 -- Phased Moving Average.
>   As suggested by Mark Jurik of Jurik Research,
>   http://www.jurikres.com
>
>  CCopyright 2007 Jose Silva.
>   For personal use only.
>   http://www.metastocktools.com }
>
>{ User inputs }
>pds:=Input("PMA periods",1,2600,21);
>factor:=Input("Lag reduction scaling factor  [-1 = Auto]",-1,1000,-1); 
>x:=Input("use  [1]Open [2]High [3]Low [4]Close [5]WCl [6]Vol",1,6,4); 
>type:=Input("[1]EMA [2]SMA [3]TmSr [4]Tri [5]Var [6]Vol 
>[7]Wght",1,7,2); shift:=Input("PMA bands spread %",0,100,5)/100; 
>plot:=Input("[1]PMA,  [2]PMA+Bands,  [3]Band crossover Signals",1,3,1);
>
>{ Data array }
>x:=If(x=1,O,
>  If(x=2,H,
>  If(x=3,L,
>  If(x=4,C,
>  If(x=5,WC(),
>  V)))));
>
>{ MovAvg type:
>   1 - Exponential MA
>   2 - Simple MA
>   3 - Time Series MA
>   4 - Triangular MA
>   5 - Variable MA
>   6 - Volume adjusted MA
>   7 - Weighted MA }
>ma:=
>  If(type=1,Mov(x,pds,E),
>  If(type=2,Mov(x,pds,S),
>  If(type=3,Mov(x,pds,T),
>  If(type=4,Mov(x,pds,TRI),
>  If(type=5,Mov(x,pds,VAR),
>  If(type=6,Mov(x,pds,VOL),
>  Mov(x,pds,W)))))));
>
>{ PMA approximation }
>factor:=If(factor>=0,factor,pds/4);
>PMA:=(ma+LinRegSlope(x,pds)*factor);
>
>{ PMA % bands }
>upper:=PMA*(1+shift);
>lower:=PMA*(1-shift);
>
>{ PMA bands crossover signals }
>entry:=Cross(C,upper);
>exit:=Cross(lower,C);
>
>{ Clean signals }
>init:=Cum(IsDefined(entry+exit))=1;
>bin:=ValueWhen(1,entry-exit<>0 OR init,entry);
>long:=bin*(Alert(bin=0,2)
>  OR entry*Cum(entry)=1);
>short:=(bin=0)*(Alert(bin,2)
>  OR exit*Cum(exit)=1);
>signals:=long-short;
>
>{Plot PMA on price chart, signals in own window} 
>If(plot=1,PMA,If(plot=2,upper,0));
>If(plot=1,PMA,If(plot=2,lower,0));
>If(plot=3,signals,PMA)
>
>---8<-----------------------------------------
>
>
>jose
>http://www.metastocktools.com
>
>
>
>
> > --- In equismetastock@xxxxxxxxxxxxxxx, "Mark Jurik" 
> > <mark_yahoo_equismetastock@> wrote:
> >
> > The code is simply a combination of a simple moving average and one 
> > way of approximating overall slope:
> >
> > Result = SMA + slope
> >
> > You can get the desired slope calc in MS by using the built-in 
> > linear regression slope function. This way, ...
> >
> > Result = mov( data array, periods, simple )
> >                      +
> >          linregslope( data array, periods ) * scaling_factor
> >
> > You set the scaling factor as in input parameter, which allows you 
> > to adjust the amount of lag reduction. This approach to achieving 
> > low lag smoothing is NOT adaptive and has a significant overshoot 
> > penalty in proportion to the amount of lag reduction you request.
> >
> > This formula poorly approximates JMA, which is adaptive, non-linear 
> > and has better lag/overshoot tradeoff properties. If you want the 
> > real thing, go to http://www.jurikres.com .
> >
> > Mark Jurik
> > Jurik Research
>
>
>




 
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