gym-trading
Trading simulator
An environment for testing and training reinforcement learning models to make trading decisions based on historical market data
Environment for reinforcement-learning algorithmic trading models
704 stars
54 watching
213 forks
Language: Jupyter Notebook
last commit: almost 7 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| A reinforcement learning framework for developing trading strategies | 550 |
| A toolkit for training and backtesting reinforcement learning algorithms in trading environments. | 1,610 |
| A framework for running reinforcement learning experiments in real-world algorithmic trading environments | 988 |
| Provides a general environment for stock market trading simulation using OpenAI Gym and reinforcement learning algorithms | 791 |
| A platform for training reinforcement learning agents to trade in financial markets. | 230 |
| A framework for simulating high-frequency trading and market-making strategies with realistic latency and order book simulations. | 2,066 |
| This project demonstrates a reinforcement learning approach to developing a financial trading model in MATLAB. | 156 |
| A project demonstrating the application of deep learning techniques to financial data and algorithmic trading | 234 |
| A repository providing examples and tools for developing and backtesting algorithmic trading strategies in Python. | 76 |
| An environment and framework for training reinforcement learning agents to make trading decisions on cryptocurrency markets. | 165 |
| Framework for testing and evaluating trading strategies using Python | 718 |
| A Python library for creating and backtesting algorithmic trading strategies using machine learning and technical indicators. | 104 |
| An implementation of a deep reinforcement learning algorithm to learn optimal strategies in pair trading by analyzing stock market data. | 310 |
| An adaptive learning model to trade a single stock using reinforcement learning | 503 |
| A collection of code examples focused on systematic trading strategies and related algorithms using Python. | 375 |