基于SPSS Modeler的股票走势预测建模及应用研究

Modeling and Application of Stock Forecast Based on SPSS Modeler

随着信息化技术的迅速发展,社会生活中产生的数据在近年来呈现出指数式的增长,这些数据也对当前社会生产和生活产生了越来越重要的活动。在股市中采取大数据建模的方法来分析未来股票走势也越来越显得重要。鉴于此,提出使用大数据中时间序列模型的方法来分析预测股票走势。实验结果表明,所提方法能较准确地反映出股票的走势,可作为股票分析的有效依据。

With the rapid development of information technology in recent years, the data generated in social life grow exponential-ly. These data become more and more important for social production and life. The big data modeling approach on analyzing futuretrend of stock is also increasingly important in the stock market. Base on this, a kind of time series model in big data is proposed toforecast the stock trend. The experimental results show that the proposed method can reflect the stock trend, can be considerate asan effective way for stock analysis.