QLearning_Trading
Trading agent
An adaptive learning model to trade a single stock using reinforcement learning
Learning to trade under the reinforcement learning framework
498 stars
27 watching
181 forks
Language: Jupyter Notebook
last commit: about 8 years ago
Linked from 1 awesome list
agent-based-modelingmachine-learningreinforcement-learningtrade
grananqvist/awesome-quant-machine-learning-tradingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 kkuette/tradzqai | An environment and framework for training reinforcement learning agents to make trading decisions on cryptocurrency markets. | 165 |
 samre12/deep-trading-agent | A Deep Reinforcement Learning framework for trading Bitcoin | 751 |
 miroblog/tf_deep_rl_trader | A trading agent implemented using reinforcement learning and deep neural networks to make optimal stock market trades. | 241 |
 deependersingla/deep_trader | An agent learns to trade stocks using reinforcement learning | 1,458 |
 sachink2010/automatedstocktrading-deepq-learning | A project implementing a reinforcement learning-based automated trading system to optimize stock portfolio management. | 263 |
 yvictor/tradinggym | A toolkit for training and backtesting reinforcement learning algorithms in trading environments. | 1,596 |
 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 |
 hackthemarket/gym-trading | An environment for testing and training reinforcement learning models to make trading decisions based on historical market data | 704 |
 kismuz/btgym | A framework for running reinforcement learning experiments in real-world algorithmic trading environments | 988 |
 matlab-deep-learning/reinforcement_learning_financial_trading | This project demonstrates a reinforcement learning approach to developing a financial trading model in MATLAB. | 154 |
 pskrunner14/trading-bot | An implementation of a stock trading bot using Deep Q-Learning to predict and make trades based on historical market data. | 983 |
| 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 |
 kh-kim/stock_market_reinforcement_learning | Provides a general environment for stock market trading simulation using OpenAI Gym and reinforcement learning algorithms | 791 |
 albert-z-guo/deep-reinforcement-stock-trading | An open-source framework for training deep reinforcement learning models to optimize stock portfolio management | 597 |
 6-billionaires/trading-gym | A platform for training reinforcement learning agents to trade in financial markets. | 230 |