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]net>
To:
<[EMAIL PROTECTED]ps.com>
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]ps.com,
"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]ps.com,
"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]ps.com,
"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]ps.com,
"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]ps.com
>> > > > 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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not have this message in their emails.
>> > > > Try
SPAMfighter for free now!
>> > > >
>> >
>
>> >
>>
>
>
>
>
>
>
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