2023
DOI: 10.22214/ijraset.2023.50170
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Quantitative Trading using Deep Q Learning

Abstract: Reinforcement learning (RL) is a branch of machine learning that has been used in a variety of applications such as robotics, game playing, and autonomous systems. In recent years, there has been growing interest in applying RL to quantitative trading, where the goal is to make profitable trades in financial markets. This paper explores the use of RL in quantitative trading and presents a case study of a RLbased trading algorithm. The results show that RL can be a powerful tool for quantitative trading, and th… Show more

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