Volatile Crypto Trading with Deep RL

This project tries to build a robust algorithmic trading model that can accurately maximize profit despite volatile market conditions. It references features from other deep learning trading systems that we deem necessary to implement a robust model. The main focus when developing the model will be accuracy in predicting price and to maximize profit in the form of calculating reward using Deep Q-Learning (DQN). The model will try to find a correlation between training volume and improved profit and loss.

Link to Project: https://github.com/cjcokubo/Crypto-Trading-using-Deep-RL/tree/main