Stochastic Return Processes

Model

These processes function as the foundational mathematical framework for quantifying the probabilistic evolution of asset valuations over defined intervals within crypto markets. They characterize the non-deterministic nature of price movements by integrating continuous time series data with specific drift and diffusion components. Quantitative analysts utilize these structures to map the inherent randomness observed in high-frequency trading environments, effectively transforming raw market noise into actionable analytical insight.