Transcription of Stock Market Forecasting Using Machine Learning …
{{id}} {{{paragraph}}}
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 .
Economic data, political perturbation and any other oversea affairs could cause dramatic fluctuation in domestic markets. Therefore, in this project, we propose to use world major stock indices as input features for our machine learning based predictor. ... normalized as following: (6) and the normalization can be implemented as: (7)
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}