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2004A Q-Learning Based Approach To Design of Intelligent Stock Trading Agents by official wwfem is a document available to read on EtoBox.
This paper presents Q-Trader, an intelligent stock trading system that utilizes a Q-learning based approach with four cooperative agents to optimize trading strategies and predict stock prices. The framework addresses the complexities of stock market predictions by employing a novel data structure for long-term price dependencies and demonstrates superior performance compared to traditional supervised learning methods. Experimental results indicate that Q-Trader effectively maximizes profits while managing
- Author
- official wwfem
- Language
- EN