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Quantum information feature extraction method based on CTP financial data

A quantum information and financial data technology, applied in finance, data processing applications, instruments, etc., can solve problems such as high computational complexity, obvious response delay, unfavorable data feature extraction and classification analysis

Active Publication Date: 2015-04-08
上海卡方信息科技有限公司
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  • Summary
  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

At present, the order generation algorithms of most algorithmic transactions have high computational complexity and obvious response delays, which are very unfavorable for feature extraction and classification analysis of data

Method used

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  • Quantum information feature extraction method based on CTP financial data
  • Quantum information feature extraction method based on CTP financial data
  • Quantum information feature extraction method based on CTP financial data

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Embodiment Construction

[0060] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0061] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0062] Those skilled in the art can understand that, unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It should also be understood that terms such as those defined in commonly used dictionaries should be understood to have a meaning consistent with the ...

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Abstract

The invention discloses a quantum information feature extraction method based on CTP financial data. Data issued by an exchange is processed by means of a quantum information algorithm model, a superposed-state quantum information presentation mode is firstly adopted to effectively describe the diversity of transaction data, description and processing by means of a quantum algorithm are facilitated on the basis, the data processing capacity of a quantum information algorithm model established on the basis of a quantum quick-calculation strategy and a quantum high-speed fuzzy hash method is improved remarkably, the calculation complex of the model is reduced remarkably, response delay is effectively reduced, the calculation complex of the algorithm is reduced, the response delay is reduced, and feature extraction and feature classification of the CTP financial data are achieved on the basis of the quantum information algorithm model.

Description

technical field [0001] The invention relates to a data feature extraction method of a quantum information algorithm model, and belongs to the technical field of computer data processing. Background technique [0002] Quantitative investment methods are widely adopted as mainstream investment methods in the international professional investment field and are still in a period of rapid development. The use of high-frequency trading technology makes investment methods and strategies more colorful. High-frequency trading technology refers to fast electronic transactions in IT facilities of financial transactions. The current price information generated on the transaction site is a continuous flow of electronic data information available. The trading system monitors these data streams, reconstructs relevant stock, futures, options and currency market prices and demand to determine when and what kind of trade, buy / sell orders are then sent to the exchange as quickly as possible. ...

Claims

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Application Information

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IPC IPC(8): G06Q40/04G06Q40/06
Inventor 曹东
Owner 上海卡方信息科技有限公司
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