Deep Learning and Machine Learning Are Being Used to Forecast the Stock Market

Predicting stock market fluctuations has traditionally been one of the most challenging tasks. Physical or psychological elements, as well as rational or irrational behavior, all play a role in this predictive behavior. Because all of these elements are present in the stock price at the same time, making a good prediction is challenging. In this paper, we will look at historical stock price data for publicly traded corporations. To forecast a company’s future stock price, we will use a combination of machine learning methods, ranging from simple averaging or linear regression algorithms to complex models like auto-ARIMA or LSTM.