Money order matchmaking trading robot based on artificial intelligence

Abstract

The invention provides a money order matchmaking trading robot based on artificial intelligence. The money order matchmaking trading robot based on the artificial intelligence comprises a publisher, used for receiving money order relevant information, and sending the information to an identifier; the identifier, used for identifying the money order relevant information and organizing into text information and sending to an analyzer; the analyzer, used for processing and classifying the text information, pushing the classified buying information to a storage for storing, sending the selling information and a calculation instruction to a calculator; the calculator, according to the stored data, used for calculating the received selling information; a matcher, used for summarizing calculatingresults of the calculator, screening an optimized quotation, and pushing to both the buyer and the seller; an interactor, used for re-communicating with a bill robot or the buyer of the correspondingprice by the seller, and pushing an optimal matching party result to a matchmaking device; and the matchmaking device, used for generating a standard trading contract. A traditional mode can be replaced by the trading robot, so the information rapid identification and calculation, storage, matching, matchmaking, contracting and trading of the buyer and the seller are realized.

Description

technical field [0001] The invention mainly relates to the technical field of artificial intelligence in bill of exchange transactions, in particular to a bill of exchange matching transaction robot based on artificial intelligence. Background technique [0002] At present, information matching of bills of exchange is mainly carried out on WeChat, QQ and other instant messaging software. Bill dealers (buyers and sellers) exchange their bills of exchange inventory and bill rate tables, calculate their respective selling prices, negotiate transaction methods, and realize bills of exchange transactions. Due to the need to calculate the number of interest-bearing days in the calculation of the bill of exchange price, each quotation must be combined with the face elements and the interest rate table for mixed calculations. Tapping the electronic calculator to quote and trade bills of exchange is time-consuming, laborious, and error-prone; each quotation must be combined The cred...

AI Technical Summary

Problems solved by technology

Due to the need to calculate the number of interest-bearing days in the calculation of the bill of exchange price, each quotation must be combined with the face elements and the interest rate table for mixed calculations. Tapping the electronic calculator to quote and trade bills of exchange is time-consuming, laborious, and error-prone; each quotation must be combined The credit status of the bill acceptor and the transaction methods of different quotations are difficult for the human brain to remember for a long time, and traders have to repeatedly inquire, which increases transaction obstacles; the default rate of transaction dialogue between draft dealers is high, and the transaction dialogue cannot form a standardized contract, which increases transaction risks and cost

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