Stock Market Forecasting Using Machine Learning …

Stock Market Forecasting Using Machine Learning Algorithms Shunrong Shen, Haomiao Jiang Tongda Zhang Department of Electrical Engineering Department of Electrical Engineering Stanford University Stanford University Abstract Prediction of Stock Market is a long-time attractive is to our belief that data of oversea Stock and other financial topic to researchers from different fields. In particular, markets, especially those having strong temporal correlation numerous studies have been conducted to predict the movement with the upcoming US trading day, should be useful to of Stock Market Using Machine Learning algorithms such as Machine Learning based predictor, and our speculation is support vector Machine (SVM) and reinforcement Learning . In verified by numerical results. this project, we propose a new prediction algorithm that exploits the temporal correlation among global Stock markets and various The rest of the report is organized as following.

financial products to predict the next-day stock trend with the aid of SVM. Numerical results indicate a principle of our algorithm, data collection and prediction accuracy of 74.4% in NASDAQ, 76% in S&P500 and 77.6% Numerical results are shown in …

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  Product, Using, Machine, Market, Learning, Financial, Forecasting, Financial product, Market forecasting using machine learning

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