You are making a dangerous assumption that the distribution of
wins/losses in time is random. If losses tend to happen sequentially,
that's a recipe for an account blowup - one that obviously can be
mitigated by trading smaller sizes.

Just trying to make a point.

I think the larger issue is the fact that JBT has no notion of
instantaneous draw-down.

On Sat, Jan 12, 2013 at 4:27 PM, Eugene Kononov
<[email protected]> wrote:
>
>>
>> Do you have an idea of the maximum draw down of your system while trading
>> all strategies simultaneously? From a risk management perspective, this
>> would be the figure to look at. Of course I could sum up all individual draw
>> downs but the actual maximum draw down is probably much less.
>>
>
> I don't pay much attention to the Max DD metric. I think the entire measure
> is misleading. For example, consider two strategies, A and B, and here are
> the respective trades:
>
> A: {+200, -100, +200, -100, +200, -100, +200}
> B: {+200, -100, -100, -100, +200, +200, +200}
>
> Notice that the distribution of trades is exactly the same, and so are the
> profit factors, expectancy, net profit, standard deviation, and Kelly. The
> only thing that is different is Max DD, which is $100 for strategy A, and
> $300 for strategy B. Does that make strategy A better than strategy B? No,
> they are the same strategy where the sequence of trades is shuffled.
>
> In my optimization runs, I rely almost exclusively on the PI, and the CPI
> (which is a new performance measure, to be introduced in the next JBT
> release).
>
>
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