Using Symbolic Regression to Describe Order Book Dynamics

Uses symbolic regression to discover interpretable equations for order-book dynamics from high-frequency market data.

We employ symbolic regression methods to derive interpretable models of order book dynamics, revealing fundamental patterns in trading behavior. This project is a collaboration with S. Koch, J.E. Senn, and M. Bleher.