  In the framework of evidence theory, data fusion combines the confidence
functions of multiple different information sources to obtain a combined
confidence function. Stock price prediction is the focus of economics. Stock
price forecasts can provide reference data. The Dempster combination rule is a
classic method of fusing different information. By using the Dempster
combination rule and confidence function based on the entire time series fused
at each time point and future time points, and the preliminary forecast value
obtained through the time relationship, the accurate forecast value can be
restored. This article will introduce the prediction method of evidence theory.
This method has good running performance, can make a rapid response on a large
amount of stock price data, and has far-reaching significance.
