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.

In addition to the correlation of daily market movements, it is also worth investigating the correlation of market trends in longer term, which may also offer valuable information for predicting future price [4-5]. To study this, δ in Eq. (3) is varied from 1 day to 50 days, and part of the results are plotted in Figure 3.

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