Can we actually predict the price of Google stock based on a dataset of price history? I’ll answer that question by building a Python demo that uses an underutilized technique in financial market prediction, reinforcement learning. The specific technique we’ll use in this video is a subset of RL called Q learning. Using a combination of code, animations, and theory i’ll explain how we can let our AI learn a policy for when to buy and sell google stock to maximize profit.
Code for this video:
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