Parameters may mean revert very quickly, very slowly or not at all. In case of 
the latter two, you can have some serious losses before realizing that the old 
parameters are no longer valid and re-optimization is needed. Limited 
re-optimization would allow the parameters to drift away from the old "global" 
values if the change is persistent but would not cause any harm if they mean 
revert. So it is a form of parameter monitoring and insurance. 

By limited re-optimization I mean searching not the entire range of the 
parameter values, but only the values within 5% of the most recent value. This 
way, on any of the re-optimizations parameters will not change more than five 
percent from the prior value, - which should not hurt even if the parameters 
quickly mean revert. On the other hand, if there is a sustained change in 
parameter values, after 10 or more re-optimizations the new parameters will be 
far closer to reality than the old global ones.

Perhaps the class could use a call something like:  
addParam(addParam(SLOW_PERIOD, .95*Old_SlowValue, 1.05*Old_SlowValue, 
.01*Old_SlowValue, Old_SlowValue)FAST_PERIOD, .95*Old_FastValue, 
1.05*Old_FastValue, .01*Old_FastValue, Old_FastValue)

This would only require evaluating 10 combinations for each parameter or 100 
for 
both, so it could run very fast and remain within 5% of the prior value.


________________________________
From: Eugene Kononov <[email protected]>
To: [email protected]
Sent: Sat, December 4, 2010 11:51:57 AM
Subject: Re: [JBookTrader] Dynamic Parameter Optimization


On Sat, Dec 4, 2010 at 11:22 AM, Astor <[email protected]> wrote:

Yes. This discussion thread is exactly what I am thinking.
>

Ok, yes, nothing stops us from experimenting. One thing which makes me 
reluctant 
to put my time and efforts into coding it is what I consider a very weak 
hypothesis on which the walk-forward optimization is based. That hypothesis is 
that the best optimization parameters for the recent market period are superior 
to the more "global" optimization parameters, when applied to the future 
period. 
Markets do change, indeed, but is there any evidence that these new formations 
of behavior persist, rather than revert back to what they have been in the past?


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