| AminHP/gym-anytrading |
1,751 |
|
0 |
0 |
over 2 years ago |
0 |
|
4 |
mit |
Python |
| The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym) |
| letianzj/QuantResearch |
1,410 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Quantitative analysis, strategies and backtests |
| Yvictor/TradingGym |
1,190 |
|
0 |
0 |
over 2 years ago |
0 |
|
7 |
mit |
Python |
| Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo. |
| Ceruleanacg/Personae |
1,034 |
|
0 |
0 |
over 7 years ago |
0 |
|
8 |
mit |
Python |
| 📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading. |
| Kismuz/btgym |
825 |
|
0 |
0 |
over 4 years ago |
0 |
|
11 |
lgpl-3.0 |
Python |
| Scalable, event-driven, deep-learning-friendly backtesting library |
| pskrunner14/trading-bot |
758 |
|
0 |
0 |
over 2 years ago |
0 |
|
16 |
mit |
Jupyter Notebook |
| Stock Trading Bot using Deep Q-Learning |
| ucaiado/QLearning_Trading |
383 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| Learning to trade under the reinforcement learning framework |
| evgps/a3c_trading |
378 |
|
0 |
0 |
about 3 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Trading with recurrent actor-critic reinforcement learning |
| AminHP/gym-mtsim |
327 |
|
0 |
0 |
over 2 years ago |
0 |
|
9 |
mit |
Python |
| A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym) |
| golsun/deep-RL-trading |
248 |
|
0 |
0 |
almost 5 years ago |
0 |
|
3 |
mit |
Python |
| playing idealized trading games with deep reinforcement learning |
