For that you need Fourier transform and FFT is coming as a built in function in 
4.86

Best regards,
Tomasz Janeczko
amibroker.com
----- Original Message ----- 
From: "Fred" <[EMAIL PROTECTED]>
To: <[email protected]>
Sent: Friday, October 06, 2006 3:48 AM
Subject: [amibroker] Re: Polynomial Trendlines


> Now if someone can take this method and/or AFL or at least provide a 
> how to that takes us into Trigometric curve fitting and extrapolation 
> i.e. the solution of simultaneous equations in the generalized format 
> of a spectral model i.e. ...
> 
> S ~ (a1 cos w1t + b1 sin w1t) + ... + (Am cos wm + bm sin wmt)
> 
> Then we might have something fairly useful ...
> 
> I suspect Gaussian Elimiation can be used for this as well, but I 
> don't have the skill level to calculate the necessary matrix entries 
> to get it down ...
> 
> Any mathematicians out there ?
> 
> 
> --- In [email protected], "Fred" <[EMAIL PROTECTED]> wrote:
>>
>> When stretch over enough data almost any order will become a pseudo 
>> straight line ...
>> 
>> By their nature a first order IS a straight line, 2nd U shape, 3rd 
>> order sine wave etc ...
>> 
>> Try highlighting a SMALLER segment of data by using the beginning 
> and 
>> ending range markers ...
>> 
>> 
>> --- In [email protected], "d_hanegan" <dhanegan@> wrote:
>> >
>> > Fred:
>> > 
>> > Thanks for your posts and all of the information concerning the 
>> > Polynomial Trendlines.  When I run the code, I pretty much just 
> get 
>> > a straight green line; it does not fit my data.  I thought I had 
>> > read all of the posts.  Am I missing something? 
>> > 
>> > Thanks.
>> > 
>> > Dan
>> > --- In [email protected], "Fred" <ftonetti@> wrote:
>> > >
>> > > Be AWARE ... that was a hand picked image ... if you play with 
>> > > PolyFit you will see that sometimes data fits the 
> extrapolations, 
>> > > sometimes it doesn't.
>> > > 
>> > > The higher the order, the flakier the extrapolations are likely 
>> to 
>> > > become ...
>> > > 
>> > > So ... Remember what it is ... a generator of an equation in 
> the 
>> > form 
>> > > 
>> > > Y = a + bx + cx^2 + ... + nx^(n-1)
>> > > 
>> > > Where the coeeficients were pick to fit the data.
>> > > 
>> > > IMHO what PolyFit is, epecially with very high orders is a very 
>> > good 
>> > > detrender of IN SAMPLE data, nothing more, nothing less ... 
> That 
>> > in 
>> > > and of itself is a useful tool ... Gaussian Elimination can 
> also 
>> > be 
>> > > the basis for some other things that are pretty decent when the 
>> > order 
>> > > is kept fairly low i.e. 3 or 4 ...
>> > > 
>> > > --- In [email protected], "Ara Kaloustian" <ara1@> 
> wrote:
>> > > >
>> > > > Polynomial TrendlinesFred,
>> > > > 
>> > > > There have been a lot of posting on this subject.  Your one 
>> > image 
>> > > however is a very powerful message of its potential.
>> > > > 
>> > > > Now I have to go back and review all the post ... hoping to 
>> find 
>> > a 
>> > > good reference to study.
>> > > > 
>> > > > Anyone using it succesfully now?
>> > > > 
>> > > > Ara
>> > > >   ----- Original Message ----- 
>> > > >   From: Fred Tonetti 
>> > > >   To: [email protected] 
>> > > >   Sent: Tuesday, October 03, 2006 3:32 PM
>> > > >   Subject: [amibroker] RE: Polynomial Trendlines
>> > > > 
>> > > > 
>> > > >   Oops .
>> > > > 
>> > > >    
>> > > > 
>> > > >   Meant to include this visual .
>> > > > 
>> > > >    
>> > > > 
>> > > >   Green is calculated . White is extrapolated .
>> > > > 
>> > > >    
>> > > > 
>> > > >    
>> > > > 
>> > > > 
>> > > > 
>> > > > --------------------------------------------------------------
> --
>> -
>> > ---
>> > > ----------
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>> > >
>> >
>>
> 
> 
> 
> 
> 
> 
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> To get support from AmiBroker please send an e-mail directly to 
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