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
214 forks
Language: Jupyter Notebook
last commit: over 6 years ago
Linked from 1 awesome list
georgezouq/awesome-ai-in-financeRelated projects:
| Repository | Description | Stars |
|---|---|---|
 thedimlebowski/trading-gym | A reinforcement learning framework for developing trading strategies | 550 |
 yvictor/tradinggym | A toolkit for training and backtesting reinforcement learning algorithms in trading environments. | 1,596 |
 kismuz/btgym | A framework for running reinforcement learning experiments in real-world algorithmic trading environments | 988 |
 kh-kim/stock_market_reinforcement_learning | Provides a general environment for stock market trading simulation using OpenAI Gym and reinforcement learning algorithms | 791 |
 6-billionaires/trading-gym | A platform for training reinforcement learning agents to trade in financial markets. | 230 |
 nkaz001/hftbacktest | A framework for simulating high-frequency trading and market-making strategies with realistic latency and order book simulations. | 1,991 |
 matlab-deep-learning/reinforcement_learning_financial_trading | This project demonstrates a reinforcement learning approach to developing a financial trading model in MATLAB. | 154 |
 liamconnell/deep-algotrading | A project demonstrating the application of deep learning techniques to financial data and algorithmic trading | 234 |
 tradingstrategy-ai/getting-started | A repository providing examples and tools for developing and backtesting algorithmic trading strategies in Python. | 59 |
 kkuette/tradzqai | An environment and framework for training reinforcement learning agents to make trading decisions on cryptocurrency markets. | 165 |
 constverum/quantdom | Framework for testing and evaluating trading strategies using Python | 717 |
 edouardpoitras/nowtrade | A Python library for creating and backtesting algorithmic trading strategies using machine learning and technical indicators. | 104 |
 shenyichen105/deep-reinforcement-learning-in-stock-trading | An implementation of a deep reinforcement learning algorithm to learn optimal strategies in pair trading by analyzing stock market data. | 309 |
 ucaiado/qlearning_trading | An adaptive learning model to trade a single stock using reinforcement learning | 498 |
 robcarver17/systematictradingexamples | A collection of code examples focused on systematic trading strategies and related algorithms using Python. | 370 |