'Future state in Deep Q learning in stock trading
In Q-learning, Q(S,a)is updated by the Bellman equation. Q(S,a) = r + max(Q(S',a')) where S' is the future state. Let's say S denotes the price of the stock, does it mean we are using future information (S') in the Q-learning process? After the training process and bringing into implementation, how is it possible to apply the strategy without knowing the future price (the future state)?
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