https://github.com/hackthemarket/gym-trading

Environment for reinforcement-learning algorithmic trading models
https://github.com/hackthemarket/gym-trading

Last synced: about 2 months ago
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Environment for reinforcement-learning algorithmic trading models

• Host: GitHub
• URL: https://github.com/hackthemarket/gym-trading
• Owner: hackthemarket
• License: mit
• Created: 2016-12-09T20:46:19.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2018-02-26T23:31:29.000Z (over 6 years ago)
• Last Synced: 2024-04-11T00:04:08.531Z (6 months ago)
• Language: Jupyter Notebook
• Size: 664 KB
• Stars: 694
• Watchers: 55
• Forks: 252
• Open Issues: 6
• Metadata Files:
  • Readme: Readme.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-ai-in-finance - gym-trading - Environment for reinforcement-learning algorithmic trading models. (Strategies & Research / Time Series Data)

README

        

## [OpenAI Gym](https://gym.openai.com/) Environment for Trading

### Environment for reinforcement-learning algorithmic trading models

The Trading Environment provides an environment for single-instrument trading

using historical bar data.

See

[here](https://github.com/hackthemarket/gym-trading/blob/master/gym_trading/envs/TradingEnv.ipynb)

for a jupyter notebook describing basic usage and illustrating a

(sometimes) winning strategy based on policy gradients implemented on

tensorflow.