https://github.com/Kismuz/btgym

Scalable, event-driven, deep-learning-friendly backtesting library
https://github.com/Kismuz/btgym

a3c advantage-actor-critic algorithmic-trading-library algoritmic-trading backtesting-trading-strategies backtrader deep-reinforcement-learning gym-environment hacktoberfest openai-gym policy-gradient policy-optimisation quantitive-finance reinforcement-learning statistical-arbitrage tensorflow time-series unreal

Last synced: about 2 months ago
JSON representation

Scalable, event-driven, deep-learning-friendly backtesting library

• Host: GitHub
• URL: https://github.com/Kismuz/btgym
• Owner: Kismuz
• License: lgpl-3.0
• Created: 2017-05-24T16:35:17.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2021-08-28T22:13:14.000Z (over 3 years ago)
• Last Synced: 2024-08-01T10:22:01.144Z (4 months ago)
• Topics: a3c, advantage-actor-critic, algorithmic-trading-library, algoritmic-trading, backtesting-trading-strategies, backtrader, deep-reinforcement-learning, gym-environment, hacktoberfest, openai-gym, policy-gradient, policy-optimisation, quantitive-finance, reinforcement-learning, statistical-arbitrage, tensorflow, time-series, unreal
• Language: Python
• Homepage: https://kismuz.github.io/btgym/
• Size: 124 MB
• Stars: 982
• Watchers: 99
• Forks: 259
• Open Issues: 11
• Metadata Files:
  • Readme: README.md
  • Contributing: docs/CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-deep-rl - BTGym - Scalable event-driven RL-friendly backtesting library. Build on top of Backtrader with OpenAI Gym environment API. (Environments)
• awesome-ai-in-finance - btgym - Scalable, event-driven, deep-learning-friendly backtesting library. (Exchange API / GYM Environment)