Big data market platform system

Abstract

The invention discloses a big data market information platform system, which simplifies market information reception of an exchange, reduces docking cost and market information delay, and enables investors to analyze market conditions more comprehensively. According to the technical scheme, through the design of a user API interface, the difficulty of accessing multiple markets by a user is reduced. Lower system delay is brought to the low-delay optimized simple binary coding SBE and the internal high-performance UDP communication framework. Diversified data such as K lines, time sharing. Indexes, other public market data, public opinion data and other analysis data are further provided. Investors can be helped to know the capital market more thoroughly, and more reference bases are provided for transactions of vast investors. From a plurality of nodes and fens technology, a user can be connected to different prepositions according to load balancing, and the prepositions can acquire data from different nodes according to load balancing, so that investors can obtain top-speed experience.

Description

technical field [0001] The invention relates to the field of big data, in particular to a market platform system with big data processing capabilities applicable to financial securities and futures scenarios. Background technique [0002] In the field of financial transactions, market data plays a vital role in driving various strategies, and the market speed determines the transaction speed. [0003] However, at present, there are technical and entry barriers for market customers to obtain the quotations of various exchanges. At the same time, their own maintenance costs are high and reliability is low, which leads to large delays in the existing quotation platforms. In 2005, the International Financial Information Exchange Organization (FIX Protocol Limited, referred to as FPL) released a FAST (FIX Adapted for STreaming) encoding method that supports high-throughput data communication between financial institutions. Exchanges that use FAST codes mainly include New York St...

AI Technical Summary

Problems solved by technology

At present, most of the quotations in the market are based on FAST encoding. Its main goal is to highly compress data, thereby reducing bandwidth usage, which also leads to increased delay.

[0004] In recent years, with the rapid development of big data, AI (Artificial Intelligence) and smart financial technology applications, the existing system has been unable to support historical massive data query functions, large-scale batch computing services, and real-time computing services, and cannot satisfy users' analysis of other public markets. Data, public opinion data and other needs

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