Could computation based stock data analysis system

Abstract

The application discloses a cloud computation based stock data analysis system. The system is constructed on a stock analysis platform system built in advance and comprises a system management module, a data management module, an investment analysis module and a resource management module, wherein the system management module is used for managing user information, the data management module is used for storing all stock data in a cloud server cluster and carrying out unified management on the stock data stored in the cloud server cluster; the investment analysis module is used for carrying out big data analysis on a target stock needed to be inquired by a user according to the stock data stored in the cloud server cluster and calculation resources of the cloud server cluster to obtain a stock predicted trend of the target stock, and the resource management module is used for monitoring the usage conditions of system resources of the stock analysis platform system in real time. The process for stock analysis is developed on the basis of a cloud computation technology, manual analysis is not needed, the difficulty of an investor on the stock analysis is reduced, and thus, the real-time requirement of the investor for the stock analysis is met.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to a stock data analysis system based on cloud computing. Background technique [0002] At present, with the development of China's market economy, China's stock market is also constantly developing. Now there are more and more stocks for investors to choose from in the market. In order to let investors understand their own financial status, each listed company provides investors with dozens of financial indicators correspondingly. These financial indicators provide a comprehensive understanding of listed companies, but obviously also increase the difficulty for investors to analyze stocks. Moreover, investors often need to select stocks that are suitable for their own investment level from a large number of stocks. Faced with massive stock data, the workload of manual selection is very huge, and it is far from satisfying users' expectations for stocks. The real-time require...

AI Technical Summary

Problems solved by technology

Now there are more and more stocks for investors to choose from in the market. In order to let investors understand their own financial status, each listed company provides investors with dozens of financial indicators correspondingly. These financial indicators provide a comprehensive understanding of listed companies, but obviously also increase the difficulty for investors to analyze stocks

Moreover, investors often need to select stocks that are suitable for their own investment level from a large number of stocks. Faced with massive stock data, the workload of manual selection is very huge, and it is far from satisfying users' expectations for stocks. Real-time requirements for analysis

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