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wallstreet's Introduction

WallStreet(华尔街)

爬取金融变化，进行风险预测，价格走势预测的大数据系统，中文名“华尔街”

停止维护

参考新版：New-WallStreet

部署

基本工具

  • MySQL数据库
  • Node.js 9.0+
  • python3
  • pip3

安装

  1. 将项目中wallstreet.sql导入MySQL数据库 （注意视图可能导致The user specified as a definer (”@’%') does not exist错误，详见博客：http://blog.handone.com/index.php/archives/137
  2. 修改dbconfig.json配置数据库连接参数
  3. 安装python项目所需基本库tensorflow，keras，pandas，pymysql，sklearn(已废弃)，matplotlib，tensorflowjs

后记和发展方向

  1. 目前项目运行需要安装node.js和python，同时维护两门语言，过于繁杂，本人正在研究google最新发布的tensorflow.js，尝试使用JavaScript统一项目语言
  2. 目前只对最高价进行深度学习，未来将考虑加入更多交易参数，学习过程将变复杂，预测结果将更有参考价值
  3. 当前只能对期货进行爬虫和预测，未来将加入股票和电商网站实体商品

wallstreet's People

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