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Multiple transaction account identification method based on local distance measuring and learning

A technology of distance measurement and recognition method, which is applied in the direction of sale/lease transaction, character and pattern recognition, computer parts, etc., and can solve problems such as low work efficiency, heavy workload, and tediousness

Active Publication Date: 2015-01-28
SUZHOU CHENCHUAN COMM TECH
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Ordinary algorithmic entrustment platforms support the operation of a single trading account. This method causes scattered operations and affects the efficiency of transactions. In the case of a single trading account, it is impossible to set flexible and reliable trading, stop loss and other strategies, which limits the ability of automatic algorithmic trading.
However, the current multi-trading account management method still requires a lot of manual operations. This method is not only cumbersome, but also has a large workload and low work efficiency.

Method used

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  • Multiple transaction account identification method based on local distance measuring and learning
  • Multiple transaction account identification method based on local distance measuring and learning
  • Multiple transaction account identification method based on local distance measuring and learning

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Embodiment Construction

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0025] see figure 1 , is a flowchart of an embodiment of a multi-transaction account identification method based on distance metric learning in the present invention. Specifically, the multi-transaction account identification method in this embodiment specifically includes steps:

[0026] S11, collecting multiple transaction account historical data as a training sample set, and performing type labeling on each training sample. In this embodiment, the sample data s...

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Abstract

The invention discloses a multiple transaction account identification method based on local distance measuring and learning. The method comprises the steps: collecting historical data of a plurality of multiple transaction accounts to serve as a training sample set, and marking the type of each training sample; extracting the operating characteristics and the essential characteristics of the multiple transaction accounts corresponding to each training sample after marking is carried out; training a local distance measurement model for judging whether two samples are of the same type according to the marked training sample set; identifying the types of the multiple transaction accounts to be identified according to the local distance measurement model. By means of the multiple transaction account identification method based on local distance measuring and learning, the preferences of users corresponding to the multiple transaction accounts can be automatically obtained, namely the users are classified and marked, it is favorable for arranging behaviors of the users in the transaction process more flexibly, and it is possible to evaluate the risk tolerance of different users by analyzing the behaviors of different users.

Description

technical field [0001] The invention relates to a pattern recognition and artificial intelligence technology, in particular to a multi-trading account recognition method based on local distance metric learning. Background technique [0002] Algorithmic trading, which uses computer platforms to input trading orders, has become one of the mainstream trading methods. Ordinary algorithmic entrustment platforms support the operation of a single trading account. This method causes scattered operations and affects the efficiency of trading. In the case of a single trading account, it is impossible to set flexible and reliable trading, stop loss and other strategies, which limits the ability of automatic algorithmic trading. However, the current multi-trading account management method still requires a lot of manual operations. This method is not only cumbersome, but also has a large workload and low work efficiency. Contents of the invention [0003] The technical problem to be s...

Claims

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Application Information

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IPC IPC(8): G06K9/66G06Q30/06
CPCG06Q20/4016G06Q20/405G06V30/194
Inventor 詹德川周尚晨
Owner SUZHOU CHENCHUAN COMM TECH