tf_deep_rl_trader
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why do you add 4 states in the environement?
I went deeper in the code but their is something i cant understand. In the file TFTraderEnv.py I found this line inside the OhlcvEnv() class: self.shape = (self.window_size, self.n_features+4)
I cant find those 4 features you add just before the training. Where are they in the code? Thank you for your awesome work. greg