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Objective functions (was RE: [amibroker] Re: Optimization -- again)



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That IS what I was trying to say.  I suspect because equity feed back 
is like looking in a rear view mirror, great for letting us know  
where we were and how we could have adjusted the past to make it 
better, but that's about it.  

--- In amibroker@xxxxxxxxxxxxxxx, "Dave Merrill" <dmerrill@xxxx> 
wrote:
> don't think I get what you mean here fred.
> 
> you can't be saying that metrics on the equity curve of a trading 
strategy
> or its parameters aren't useful, right? that's the only thing we 
have to
> judge the effectiveness of our methods and settings.
> 
> so you must be saying that equity feedback isn't a useful concept,
> regardless of how you measure "good" equity. do I have that right?
> 
> if so, as I've said, my experience agrees -- none of the indicators 
I've
> tried are wonderfully profitable when auto-optimized this way. I 
just cannot
> for the life of me understand why that's the case, if backtests 
tell us
> anything useful about future performance.
> 
> if I've misunderstood completely, my apoligies (:-)
> 
> dave
>   Like a lot of other things that sound like they SHOULD work, I 
have
>   never found metrics related to equity curve feedback to be of much
>   value in the determination of system parameter values.
> 
>   --- In amibroker@xxxxxxxxxxxxxxx, "Dave Merrill" <dmerrill@xxxx>
>   wrote:
>   > interesting as usual howard (:-). one piece I wanted to drill 
into
>   a bit.
>   >
>   > I wonder what the effect of using performance measures that
>   concentrate on
>   > certain things at the expense of others actually is.
>   >
>   > for example, my auto-optimization stuff currently uses simple
>   profit per bar
>   > to choose parameter values. my gut-level assumption was that 
since
>   it was
>   > ignoring drawdown (among other things), the resulting systems 
might
>   have
>   > higher drawdown than I was comfortable with, but that profit per
>   bar should
>   > be as good as the trading method could produce.
>   >
>   > maybe that's not the case. maybe by choosing a more balanced
>   success metric,
>   > not only would the other factors not considered by my simplistic
>   first pass
>   > metric be improved, but profitability might be improved as well.
>   >
>   > is this something you've investigated or thought about? anyone 
else?
>   >
>   > dave
>   >   Note ? it is perfectly valid to have different objective
>   functions for
>   > different purposes.  For example, I might be modeling the 
behavior
>   of a
>   > sector, say oil services, with the intent of trading individual
>   stocks based
>   > on what I learn.  In this case, I want to identify periods of
>   rising prices
>   > with careful attention to turning points, but without much 
interest
>   in
>   > overall profit.  On the other hand, I might be modeling 
individual
>   high beta
>   > tech stocks, in which case my model includes several stop loss
>   techniques
>   > and I care most about avoiding drawdowns.
>   >
>   >
>   >
>   >   Thanks,
>   >
>   >   Howard
> 
> 
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