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