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Computer Intelligent Stock Prediction Model with Mathematical Statistics and Machine Learning Techniques

As we look into the financial markets, or more straightforwardly, the stock market, the unstable stock price is always a problem existing in the stock market. Whether the price will go up or down and by how much, has always been an unavoidable issue for the investors. Although the price is relatively unstable, many people come up with methods to predict the future stock prices in order to make the price more predictable and hence make a huge number of profits. A relatively successful prediction on the stock price can help you earn a large amount of money from it, increasing the attention and motivation to find different methods of predicting price. The objective of this paper is to summarize and review some of the popular methods of stock price forecasting both in a traditional statistical method and the machine learning or deep learning methods as well as the more favored approach adopted today and the relevant research on them.