ralphbrodriguez / trading-gym

The repository for reinforcement learning agent to train with stock market simulator based on historical Korea stock market data

Trading Gym for Quantitative trading

Intro

Architecture

Reference

Trading Gym already built by others on github

Trading gym followed by OpenAI Gym architecture, spread trading

• https://github.com/Prediction-Machines/Trading-Gym

Trading gym followed by OpenAI Gym architecture, easy to look around with ipython example

• https://github.com/hackthemarket/gym-trading
• https://github.com/hackthemarket/gym-trading/blob/master/gym_trading/envs/TradingEnv.ipynb

Trading gym using API of Interative Broker It is such a good reference for us.

• https://doctorj.gitlab.io/sairen/
• edemo / demouser

• TWS configuration . TWS session will be set for socket port 7496 (live), . a paper account session will listen on socket port 7497 (paper) . https://interactivebrokers.github.io/tws-api/initial_setup.html#gsc.tab=0 best article to make trading gym on Discourse

• https://discuss.openai.com/t/gym-and-agent-for-algorithmic-stock-and-cryptocurrency-trading/519/23

deep trader

• https://github.com/deependersingla/deep_trader

Python

gave good idea to structure project frame

• http://docs.python-guide.org/en/latest/writing/structure/
• https://jeffknupp.com/blog/2014/02/04/starting-a-python-project-the-right-way/

Reinforcement learning

Algorithms collections based on OpenAI Gym

• https://github.com/rll/rllab