Quantum Computing, Finance, Refinitiv.
steps, with a 50% up or down probability: initial_value = 0 steps = 12 epochs = range(1000) random_walk_endpoints = [] for shot in epochs: random_walk_endpoints.append(random_walk(initial_value,steps)[-1]) If we plot the resulting collection of 1000 random walks we get something like this: Quantum