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Louis,
in the IS period your system is optimized, then the best values from the
optimization are used to perform a test over the IS and OOS periods.
If the OOS results are worse than the IS results, this means that the
system doesn't generalize well enough. BTW: This topic is very well
explained in chapter 20 of Howard's book. I also suggest to look at
http://www.amibroker.com/kb/2008/02/12/getting-started-with-automatic-walk-forward-optimization/ .
I must say, that walk forward testing has completely changed my way of
thinking. It's much easier to see now if a trading system is worth a
second look.
Greetings,
Thomas
> Hi,
>
> I've been experimenting with walking-forward, and I have some
> questions regarding how it works.
>
> I ran a complete random optimization or buying/selling using the
> variables I set (a MCS in fact), and systematically OOS results were
> worst than IS. I don't understand how it works, because whatever if
> the sampling is IS or OOS it is always the same variables that are in
> place.
>
> Anyone could explain how this work?
>
> Thanks,
>
> Louis
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