Design Andimplementation of the Stock Data Analysis System based on Django

Abstract

In order to facilitate stock market browsing and data analysis for shareholders, a stock data analysis system is designed and implemented. This system can obtain daily stock data information and enable shareholders to conduct preliminary screening according to the trend of visual data. It can also browse shareholders' consultation for exchange comments, and users can add their own stocks to observe and wait for the best trading opportunity. The system is divided into two roles, administrator user and general user. The system includes four modules: the information module of individual accounts of shareholders, the real-time stock market module, the management module of self selected shares and the advisory forum module. The development of this system adopts Python technology, B/S framework, and Django framework. Because the stock market contains massive stock data, it uses Doris to store stock market data to improve efficient and highly available queries. For the visualization part of stock history data, ECharts is used for chart display.