matlab-deep-learning/reinforcement_learning_financial_trading
MATLAB example on how to use Reinforcement Learning for developing a financial trading model
This project offers a MATLAB-based example for financial professionals to explore how Reinforcement Learning can be applied to develop automated trading models. It takes historical or simulated stock data and outputs trading decisions (buy, sell, hold) to manage a stock portfolio. Traders, quantitative analysts, and financial researchers can use this to understand and build AI-driven trading strategies.
178 stars.
Use this if you are a financial professional with MATLAB experience and want to experiment with Reinforcement Learning to automate stock trading decisions based on historical data.
Not ideal if you are looking for a plug-and-play solution for live trading or do not have access to MATLAB and its specialized toolboxes.
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178
Forks
46
Language
MATLAB
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Last pushed
Feb 13, 2026
Commits (30d)
0
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