Algorithmic Trading, Reinforcement Learning, Investing, Deep Learning, Technical Analysis.
is an area of machine learning that involves running an agent through an environment that returns rewards for each time step. The agent’s goal is to maximize the cumulative reward. Basic interaction loop of RL: S is the state of the environment, A is the agent’s action, R is the given reward and