Monte Carlo Simulation, Quantitative Finance, Python, Data Science, Data Visualization.
between 0 and 1. number_of_simulations = 10000 # 10,000 simulations trading_costs = 0.001 # 0.1% of cost per trade # Creating coins numpy array coins = np.random.randint(0, 2, size = (len(spy), number_of_simulations)) # Displaying coins numpy array coins array([[1, 0, 1, ..., 0, 0, 0], [0, 0, 0,