[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': "Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:def stock_monte_carlo(start_price,days,mu,sigma):\n''' This function takes in starting stock price, days of simulation,mu,sigma, and returns simulated price array'''\nprice = np.zeros(days)\nprice[0] = start_price\nshock = np.zeros(days)\ndrift = np.zeros(days)\nfor x in range(1,days):\nshock[x] = np.random.normal(loc=mu * dt, scale=sigma * np.sqrt(dt))\ndrift[x] = mu * dt\nprice[x] = price[x-1] + (price[x-1] * (drift[x] + shock[x]))\nreturn price"}, {'role': 'assistant', 'content': 'modelling'}]