Markov Chains are a foundational tool in probability and quantitative finance, often used to model regime changes such as trending, mean-reverting, high-volatility, and low-volatility market states.
MIT lecture covering the fundamentals of Markov processes and discuss how these concepts can be applied to trading system design, regime classification, and probabilistic forecasting.
