Markov Chain State Prediction

Methodology

Markov chain state prediction functions as a probabilistic framework for estimating the likelihood of future market conditions based solely on current price behavior. It operates on the principle that the next state of a crypto asset depends exclusively on the present state rather than its historical path. Traders utilize this transition matrix to model discrete shifts between volatility regimes or trend directions within decentralized finance protocols.