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stockpredict's Introduction

#Stock trend prediction system 这是一个股票趋势预测系统,前后端分离架构。

  • 前端单页面响应式设计,用的Angular
  • 后端使用Django + Django ReST Framework 提供Api供前端调用
  • 后端R语言实现预测算法,通过Python调用。使用ANN,SVM等机器学习算法,随机森林选择参数,时间序列预测

#Introduction

########(The front is very simple)

  • Provide hot stocks
  • Predict stock trends(Support high concurrency, Asynchronous execution, Not repeat the calculation using redis cache)
  • Perform a task when the market closed calculate the predicted results
  • CORS support
  • User System(Follow stock, Registration and login)

#Requirement

  • Redis
  • Django, Django ReST Framework
  • djcelery
  • corsheaders (Provided CORS)
  • MySQL
  • Nginx(Non-essential)
  • npm, bower

#How to Start

  • cd FRONT && bower install && npm install
  • cd BACK && (With virtualenv and pip install requirement.txt)

#Demo

  • you can see the DemoPic directory

#Todo

  • Security

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