The paper proposes the use of Bayesian online change-point detection (BOCPD) methods to identify regime shifts in real-time and enable online predictions of order flow and...

The paper investigates the application of Double Deep Q-Learning, a neural network-based Reinforcement Learning approach, to derive optimal trading policies in the presence of...