文章基本信息

标题：Forecast the Stock Market Using Time Series and Regression Models
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作者：K.Lalitha ; R.Indhumitha ; N.Indra 等
期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2020
卷号：2
期号：1
页码：503-506
语种：English
出版社：IJAEM JOURNAL
摘要：Stock Market prediction is a complex and burdensome task but it is of great advantage for all the stock market investors. The main reason behind this difficulty in stock market prediction is that the price of the stock keeps fluctuating with respect to time on the basis of various parameter like economics, politics, natural disasters, man-made disasters and market psychology. In order to predict we try to analyze the future value of the stock of each company. Now we are in an attempt to predict the stock using Machine learning algorithms like Time Series algorithms and Regression algorithm on the bases of the historical stock data. The factor we have taken into consideration is close price of the stock market. In this project we forecast the best prediction value using ensemble techniques over all the algorithms applied.
关键词：Stock price;prediction;machine learning algorithm