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I have
stated my views on this board relating to whether or I use an individual
set of parameters for each stock. May I suggest a method that anyone
interested can use to prove to themselves whether the concept works or
not?
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Try
something like this:
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Pick a
system... your favourite system. For sake of conversation, I'll use
a simple moving average crossover system with two parameters. One for each
moving average period.
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Now,
select the 100 stocks that you think really work well with that
system.
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Then,
optimize that system over those 100 stocks over any period you like, leaving at
least one following year of historical data.
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Set
your parameters and trade those individual parameters for one year
out-of-sample.
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Then,
optimize that same system to find the single best parameter set over the same
optimization period.
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Apply
that single parameter set to all stocks and trade forward one year
out-of-sample.
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Which
method gives your the best out-of-sample results?
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If you
get crappy results using BOTH approaches (as I think you would with a moving
average crossover system), then the system sucks and you should move on to
something that works a bit better. If the "individual parameters"
works best, then continue to use that approach... if that's what you are
doing.
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Just
my thoughts...
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