reinforcement_learning_financial_trading
Trading strategy simulator
This project demonstrates a reinforcement learning approach to developing a financial trading model in MATLAB.
MATLAB example on how to use Reinforcement Learning for developing a financial trading model
156 stars
17 watching
41 forks
Language: MATLAB
last commit: about 1 year ago
Linked from 1 awesome list
algorithmic-tradingdeep-learningexamplematlabmatlab-deep-learningreinforcement-learning
uhub/awesome-matlabRelated projects:
| Repository | Description | Stars |
|---|---|---|
 liamconnell/deep-algotrading | A project demonstrating the application of deep learning techniques to financial data and algorithmic trading | 234 |
 thedimlebowski/trading-gym | A reinforcement learning framework for developing trading strategies | 550 |
 ai4finance-foundation/finrl-trading | Develops an AI-based trading strategy using supervised and deep reinforcement learning techniques to select stocks and allocate assets for investment. | 2,132 |
 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 |
 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 | 607 |
 deependersingla/deep_trader | An agent learns to trade stocks using reinforcement learning | 1,464 |
 yvictor/tradinggym | A toolkit for training and backtesting reinforcement learning algorithms in trading environments. | 1,610 |
 pnecchi/thesis | This thesis applies reinforcement learning to automate trading decisions in financial markets. | 85 |
 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 |
 kkuette/tradzqai | An environment and framework for training reinforcement learning agents to make trading decisions on cryptocurrency markets. | 165 |
 matyama/deep-rl-hands-on | A collection of examples and exercises from a deep reinforcement learning book | 2 |
 jjakimoto/dqn | Reinforcement learning-based algorithm for optimizing stock trading and portfolio management | 182 |
 robcarver17/systematictradingexamples | A collection of code examples focused on systematic trading strategies and related algorithms using Python. | 375 |