Chaotic Transformers for Deep Reinforcement Learning in Algorithmic Trading

Tohid Abedini, Samin Heydarian, Moein Heidari, Alireza Morsali

Keywords: Chaotic Transformers, Chaotic Neural Networks, Transformers, Deep Reinforcement Learning, Algorithmic Trading

Abstract: Chaotic Transformers for Deep Reinforcement Learning can be applied in algorithmic trading to improve the efficiency and effectiveness of trading strategies. In algorithmic trading, deep reinforcement learning can be used to learn trading policies that maximize the expected reward. However, due to the highly complex and nonlinear nature of financial markets, it can be challenging to identify profitable trading opportunities and avoid overfitting to historical data.