ghaffari903

I think the step function has a bug: `def step(self, actions): actions = (actions * self.max_stock).astype(int) self.day += 1 price = self.price_ary[self.day] self.stocks_cool_down += 1 if self.turbulence_bool[self.day] == 0: min_action...

FinRL_Compare_ElegantRL_RLlib_Stablebaseline3.ipynb

@Athe-kunal 2.472023e+41 is very high in one year!

> Please share your result, I am working on it any discussion and comment appreciated.

after select only one stock the result is:   But more than one stock, the training finish only after few times!

@mpflederer do you have any code to use other features?

Hi @windowshopr , I hope you are here, Could you please share your solution to evolution agent overfitting problem?

wooooow

Do you have any other social network group to add me? @windowshopr do you apply these models to real trading? and how about profitability?

evolutionary model trade