Thanks, Ed.  I was hoping to find something that was not quite as 
jumpy as a linear regression line.  I had typed Closing prices into 
Excel and charted Poly Lines and it looks like it has SOME promise.  
I also checked out the threads on Sigma Bands and they too SEEM to 
have some viability.  I am not sure how helpful it would truly be to 
have either.  I'm just after the cat and looking for other ways to 
skin it.  Thanks again for your input.

Dan


--- In [email protected], "Ed Hoopes" <[EMAIL PROTECTED]> 
wrote:
>
> I have written a least squares fit to a quadratic equation.  It was
> quite difficult due to the computation of the coefficient of the 
x^2
> term.  The problem is that AB uses single precision math, and the
> computation would 'blow up' every so often because the coeff of 
x^2 is
> the difference between two very large numbers.  
> 
> I used the technique of Gaussian Elimination and had to create a
> separate time base to prevent the 'blow up's.  
> 
> Then, if you want to do backtesting, it is necessary to extract 
arrays
> of price data n-days back, then align and load them in with the
> artificial time base array before you start the Gauss. It is really
> quite messy, but I was able to make it work eventually.
> 
> So of course the REAL question is if it works better than - say - a
> linear regression which Tomasz has kindly pre-programmed for us. 
> Being slightly 'bendy' because it is a section of a parabola, 
entries
> occur a bar or two earlier, and exits are similarly.  Whipsaws are
> also a little increase because of the flexability.  In all, it 
works
> better than a linear regression, but not a lot better.
> 
> The code is not available - as it is used commercially.
> 
> ReefBreak
> 
> --- In [email protected], "d_hanegan" <dhanegan@> wrote:
> >
> > Hello All:
> > 
> > Sigma Bands aside, has anyone seen or done any work on nth order 
> > Polynomial Trendlines?
> > 
> > Thanks.
> > 
> > Dan
> >
>







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