Poisson Process Modeling

Poisson Process Modeling is a statistical method used to describe the occurrence of events over time, such as the arrival of trades or order book updates. In high-frequency trading, it is used to estimate the frequency and timing of market activity.

By modeling the arrival rate of orders, analysts can better predict the liquidity landscape. This helps in optimizing execution strategies and managing inventory risk.

It is a fundamental tool for understanding the stochastic nature of market flow. In the context of digital assets, this modeling helps account for the bursty nature of trading activity.

It provides a structured way to handle the randomness inherent in financial markets.