Stock data acquisition and storage method, device and system based on cloud computing technology

Abstract

The embodiment of the invention provides a stock data acquisition and storage method, device and system based on a cloud computing technology. The method comprises the following steps: extracting a label of a stock held by a user, determining a user portrait based on the label, and determining a plurality of target stocks based on the user portrait; collecting stock data of a plurality of target stocks according to a set period, and storing the collected stock data to a local storage area of a user terminal; and if the stock data transaction request is received, returning the stock data read from the local storage area of the user terminal to an initiator of the stock data transaction request according to the stock data transaction request. By using the method, when the stock data transaction request is received, the stock data corresponding to the request does not need to be temporarily collected, and the stock data can be directly read from the local storage area of the user terminal, so that the stock data feedback speed and efficiency are improved, and the stock transaction efficiency of the user can be improved.

Description

technical field [0001] The present invention relates to the technical field of stock trading, in particular, to a method, device and system for collecting and storing stock data based on cloud computing technology. Background technique [0002] With the improvement of people's income level, more and more people use their deposits to invest in financial products. At present, the way to provide stock data acquisition services is mainly that the data access terminal initiates a request for data acquisition, and the system's stock data acquisition service provides each stock data acquisition service to each stock. Pull the real-time stock data of the stock (such as the daily profit and loss of the stock, trading volume, etc.), wait for the real-time stock data acquisition, and return it to the data access terminal. However, there is a lot of information about a single stock (including but not limited to stock K-line charts, shareholdings, corporate quarterly reports, etc.), whic...

AI Technical Summary

Problems solved by technology

However, there is a lot of information about a single stock (including but not limited to stock K-line charts, shareholding status, corporate quarterly reports, etc.), which makes it take longer for the system to obtain stock data in real time, which makes it impossible for the data access terminal to receive the returned data in time Stock data, which reduces the trading efficiency of stocks

Images