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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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