stock_market_reinforcement_learning
Stock Trading Simulator
Provides a general environment for stock market trading simulation using OpenAI Gym and reinforcement learning algorithms
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
791 stars
75 watching
320 forks
Language: Python
last commit: almost 9 years ago
Linked from 2 awesome lists
georgezouq/awesome-ai-in-finance
grananqvist/awesome-quant-machine-learning-tradingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 kismuz/btgym | A framework for running reinforcement learning experiments in real-world algorithmic trading environments | 988 |
 hackthemarket/gym-trading | An environment for testing and training reinforcement learning models to make trading decisions based on historical market data | 704 |
 albert-z-guo/deep-reinforcement-stock-trading | An open-source framework for training deep reinforcement learning models to optimize stock portfolio management | 607 |
 thedimlebowski/trading-gym | A reinforcement learning framework for developing trading strategies | 550 |
 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. | 310 |
 yvictor/tradinggym | A toolkit for training and backtesting reinforcement learning algorithms in trading environments. | 1,610 |
 jjakimoto/dqn | Reinforcement learning-based algorithm for optimizing stock trading and portfolio management | 182 |
 liamconnell/deep-algotrading | A project demonstrating the application of deep learning techniques to financial data and algorithmic trading | 234 |
 miroblog/deep_rl_trader | A reinforcement learning-based trading system that uses Deep Q-Networks to make optimal trading decisions based on historical stock prices. | 411 |
 matlab-deep-learning/reinforcement_learning_financial_trading | This project demonstrates a reinforcement learning approach to developing a financial trading model in MATLAB. | 156 |
 kkuette/tradzqai | An environment and framework for training reinforcement learning agents to make trading decisions on cryptocurrency markets. | 165 |
 sachink2010/automatedstocktrading-deepq-learning | A project implementing a reinforcement learning-based automated trading system to optimize stock portfolio management. | 263 |
 deependersingla/deep_trader | An agent learns to trade stocks using reinforcement learning | 1,464 |
 pskrunner14/trading-bot | An implementation of a stock trading bot using Deep Q-Learning to predict and make trades based on historical market data. | 997 |
 ceruleanacg/personae | A repository of implements and environments for implementing deep reinforcement learning and supervised learning methods in quantitative trading. | 1,374 |