Research|
Deep Q-Learning Techniques for Forex Trading
Deep Reinforcement Learning has attracted significant interest in recent years, achieving remarkable results in domains such as gaming and robotics, where previously adopted methods had failed. Although games have largely driven the growing relevance of Reinforcement Learning, this thesis investigates and applies a specific algorithm from this family, namely Deep Q-Learning, with the aim of identifying potentially profitable strategies for the Foreign Exchange Market.