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Has anyone done quantitative testing to pick the best fitness
function?
Car/mdd seems to work well, better than k-ratio or sharpe in my
personal testing.
Haven't tried Ulcer performance index.
I just woundered what others have found.
Since the fitness function has such a major impact on the system that
results, it seems that a good fitness function should help the system
perform well in walk forward testing. This could be measured by walk
forward testing the same system with different fitness functions and
comparing how they do in the out of sample data.
I have been experimenting with a new fitness function I
call "pessimistic car/mdd". It uses a dll to resample the trade list
after each run 10,000 times, similar to a bootstrap method. It finds
the histogram of the resampled car and mdd values, then calculates
car/mdd based on average car - 1 stdev and mdd + 1 stdev.
The goal of this fitness function is to minimize the impact of data
mining.
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