I'll make a few points:

1. The "net profit" is probably the worst measure of performance,
because it does not account for risk whatsoever. Max DD is also
misleading, because it relies on the certain sequence of trades which
is really irrelevant. In a Monte Carlo simulation, the trades are
shuffled. On this shuffled sequence of trades, Max DD will be
different every time, yet the trading strategy is the same.

2. I use Profit Factor and PI almost exclusively, and Kelly once in a
while. All three (Profit Factor, PI, and Kelly) normally go together.
That is, the strategy with a high PI tends to have a high profit
factor and high Kelly.

3. The larger the number of trades and the smaller the number of
strategy parameters, the more statistically significant are the
results. Also, PI by its very definition acts as a statistical
significance test.

4. To evaluate the robustness of the strategy, look at its performance
when the best strategy parameters are changed by 15% or so. Is the
strategy still profitable, or has it lost all of its merits?


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