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> > Some feedback about results would be very nice ... which generic
> > numbers would be considered "excelent", "good" or "acceptable" (or
> > any aditional criteria you want) in:
> > Average Profit per month: ???
> > Winnin/Losing trades: ??/??
> > AvgWin/AvgLoss
> >
> > Thanks a lot.
>
I don't know the short answer to your question. Two possibilities are; it
depends or it is relative.
A system should be judged based on expectancy. Expectancy is simply the
amount of profit that a system can extract from a given security over a
selected period of time. Expectancy is a function of the number of trades
signalled, the percentage of those trades that are winners and the size of
the winners relative to loosers. All three factors are important and a
system cannot be judged without considering all of them. For example, a
system might have a high percentage of winners and winners that are much
larger than loosers but have a low expectancy because it triggers a small
number of trades. On the other hand, another system might have only small
advantages in terms of percentage of winners and relative size of winners to
loosers but have a high expectancy because the system triggers a very large
number of trades. Las Vegas was built on the second type of system.
Personally, I calibrate my systems on one data set and test them against
another. My calibration set is very large and I am fairly confident that I
am not over-optimizing. I test all of my systems against the same data so I
can compare my bottom lines on each system and judge their relative
performance.
Just me,
Dan
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