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Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q-Learning

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dl-algo-trader

Training an Agent to make automated long/short trading decisions in a simulated stochastic market environment using Deep Q-Reinforcement Learning.

#Dependencies Python version 3.7.5

Packages: pip install tensorflow keras pandas matplotlib

Steps to run:

  1. python dl-agent.py #One run of 500 episodes
  2. python plot_reward.py #Plots the reward time series

Blog: https://medium.com/@gaurav1086/machine-learning-for-algorithmic-trading-f79201c8bac6

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Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q-Learning

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  • Python 100.0%