To build a Deep Q-Learning agent to predict whether to buy a stock, sell a stock, or remain neutral at a given point of time, based on the trends of the market, so as to maximize total profits at the end of the trading window.
Using 5 different ML regression models, predict the Adjusted Closed Stock Price of 3 firms, provided their closing prices of the previous n days
Build the final Q-Learning agent that will make decisions in the stock market that will maximize its profits over a time frame.