Reinforcement-learning-algorithm-Deep-Q-learning-for-cryptocurrency-trading

Deep Q learning algorithm for cryptocurrency trade deployed with Tensorflow (keras) in python
This codde is a single Agent DQN for cryptocurrency stock trade.
this project can be applied for !any stock market! to trade with reinforcement learning and its not limited to only use in cryptocurrency trading
this project is a research project and owners have no responsibility of any loss for deploying this project in real environmentn WRITTEN BY MOHAMMAD ASADOLAHI [feel free to ask any question in Issues or just email me] Mohammad.E.Asadolahi@gmail.com
https://github.com/mohammadAsadolahi

this code is not implemented with Pytorch this project has been written in TensorFlow using Keras! for Pytorch version look up my Github repositories

to do:

• [Done!] write the ReplayBuffer code [Done!]
• [Done!] deploy Action space generation code [Done!]
• [Done!] deploy the Agnet in tensorflow [Done!]
• [Done!] deploy the Environmetn class [Done!]
• [Done!] deploy the main learning looop [Done!]
• [Done!] Deploy the test loop [Done!]