Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q-Learning.
#Packages numpy keras+tensorflow
Steps to run:
- python dl-agent.py -> One run of 500 episodes
- python plot_reward.py -> Plots the reward time series
Blog: https://medium.com/@gaurav1086/machine-learning-for-algorithmic-trading-f79201c8bac6