Markov Chains, Markov Process, Python, Discrete Time Markov, Probability.
closing_prices = [closing_price] P_mul=P.copy() T=365 #now repeat this procedure 365 times for i in range(T): #calculate the i-step transition matrix P^i P_mul=np.matmul(P_mul,P) #multiply it by pi_0 to get the state probability for time i pi_t = np.matmul(pi_0,P_mul) # create a random delta in the