An Approach to Find the Point of Buying Stock Based on Big Data

作     者：Yao Fu Congdian Cheng Lizhu Wang 

作者机构：College of Mathematics and Systems ScienceShenyang Normal UniversityShenyang110034China 

出 版 物：《Journal of Business Administration Research》 (工商管理研究（英文）)

年 卷 期：2020年第3卷第2期

页      面：38-42页

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the Natural Science Foundation of Liaoning province under Great 20170540821 

主　　题：Stock Big data Weighted moving average Algorithm profit 

摘      要：It is a research subject that has attracted a wide concern and study for a long time to find a suitable trading point of *** the views of big data and quantization technique,the paper tries to propose an approach,through the form of algorithm,based on big data analysis and linear weighted moving average curve,to find the point of buying stock,so that the trader would like to achieve the expected profit with a higher probability;and makes the digital experiment to further explain the approach and verify its *** work can promote the development of big data research and quantization technique,and can also provide a certain reference method for the trader making the technology analysis of the trade.