计算机科学 ›› 2020, Vol. 47 ›› Issue (6A): 612-615.doi: 10.11896/JsJkx190600007

• 交叉&应用 • 上一篇    下一篇

基于BigQuant 大数据平台的股票投资策略开发

李泳   

  1. 中国政法大学商学院 北京 102249
  • 发布日期:2020-07-07
  • 通讯作者: 李泳(yongli@cupl.edu.cn)
  • 基金资助:
    教育部人文社科基金(19YJA790046)

Stock Investment Strategy Development Based on BigQuant Platform

LI Yong   

  1. Business School,China University of Political Science and Law,BeiJing 102249,China
  • Published:2020-07-07
  • About author:LI Yong, born in 1964, Ph.D, professor, Ph.D supervisor, is a member of China Computer Federation.Her main research interests include financial engineering and risk management.
  • Supported by:
    This work was supported by the General ProJect of Humanities and Social Sciences of Ministry of Education of China (19YJA790046).

摘要: 文中基于BigQuant平台股票投顾系统,利用 StockRanker算法和回测机制,对中国股市在整个样本期2010年1月1日至2019年2月5日具有正常交易的全部A股中剔除沪深300指数成份股后的1848只股票特征数据进行分析,给出最有投资价值的股票排序,从而为具有不同风险偏好的投资者提供智能化、个性化的资产配置建议。文中基于标准指数基金中证500指数,通过策略判断,用业绩优异的非成份股代替业绩较差的成份股,开发出一款D产品,它具有超越标准指数基金更好、更稳定的投资收益。

关键词: BigQuant平台, StockRanker算法, 大数据, 投资策略

Abstract: Based on BigQuant platform,a stock investment consulting system,using its StockRanker algorithm and back-test mechanism,this paper analyzed the characteristic data of 1848 stocks in China’s stock market after deducting CSI 300 index component stocks from all A shares with normal trading during the sample period from January 1,2010 to February 5,2019,and ranked the stocks with the greatest investment value so as to provide intelligent and personalized asset allocation proposal for investors with different risk preferences.Based on the CSI Smallcap 500 index,through strategic Judgment,this study developed product D with better and more stable investment returns than the standard index fund by substituting the poor performance component stocks with excellent performance non-component stocks,which has shown.

Key words: Big data, BigQuant platform, Investment strategy, Stock Ranker algorithm

中图分类号: 

  • TP399
[1] ZHAO L M.Inheritance and Innovation of Information Resource Management Theory:Big Data and Data Science Perspective .Journal of China library,2019(2):26-42.
[2] LIANG J.Democratize AI to empower investors.2019.
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