Method for Automatically Identifying Bond Quotes

Abstract

The invention belongs to the field of financial information technology, and provides a method for automatically identifying bond quotations, including the following steps: a customer logs in to the system, performs price data recognition operations on all opened texts through a quotation identification module in the system, generates valid quotations, and stores them in the bond In the database; request the server to view and operate the full amount of bond data through the bond data synchronization module; the server stores the bond data in the internal cache and provides it to the client at the same time; when changing, adding, or deleting the full amount of bond data, the server will Automatically monitor the changes in the bond database and store the changed data in the internal cache. The invention has the characteristics of being able to accurately identify bond products, quotation prices, transaction quantities, buying and selling directions, and specific product transaction descriptions, and automatically fill them in related forms without manual operation, high accuracy, fast and efficient.

Description

technical field [0001] The invention belongs to the technical field of financial information, in particular to a method for automatically identifying bond quotations. Background technique [0002] With the continuous deepening of financial market reforms, the volume of financial transactions, especially bond OTC transactions, has grown rapidly. However, chat tools are still used in the market to publish and trade product quotations. Users need to filter out useful product information and quotation data from the chaotic chat content. Product information and quotation data are accurately screened out, and errors will occur when artificially filling them in the form, so the accuracy rate is low. [0003] Therefore, in the field of financial information technology, there is an urgent need for information that can accurately identify bond products, quotation prices, transaction quantities, buying and selling directions, and specific product transaction descriptions, and automati...

AI Technical Summary

Problems solved by technology

However, chat tools are still used in the market to publish and trade product quotations. Users need to filter out useful product information and quotation data from the chaotic chat content. Accurately screen out product information and quotation data, and errors will occur when filling them in the form artificially, so the accuracy rate is low

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