Reinforcement Learning for Adaptive Market-Making with Inventory-Aware Risk Constraints
It is essential for market-making strategies to optimally capture the spread, balance their inventory, and adjust to changing order-book dynamics. In this paper, we explore the use of Proximal Policy Optimization (PPO) to perform adaptive market making in a simulated limit-order-book setting using the MSFT data from th...