Big Data Research ›› 2018, Vol. 4 ›› Issue (5): 94-102.doi: 10.11959/j.issn.2096-0271.2018053

• APPLICATION • Previous Articles     Next Articles

DeepEye:a deep learning-based method of recognition and classification of program trading

Guangbin XU1,Wei ZHANG2   

  1. 1 Capital Market Institute of Shanghai Stock Exchange,Shanghai 200120,China
    2 Product Innovation Center of Shanghai Stock Exchange,Shanghai 200120,China
  • Online:2018-09-15 Published:2018-12-10

Abstract:

Program trading behavior in A-share market has been systematically analyzed based on the Shanghai Stock Exchange’s latest trading data and a feature indictor system has thus been built up for characterizing and classifying the program trading in the market.Furthermore,based on the deep learning technology,the A-share program trading intelligentized recognition and classification method,DeepEye,has been proposed,which enables program trading behavior in the market to be recognized and classified.The accuracy of the pilot implementation got about 70% which verified the feasibility and effectiveness of the new method.The proposed method can serve as an auxiliary measure to existing investor portraits and behavior supervision analysis for market regulation and can be a reference for improving the existing program trading regulatory rules.

Key words: investor behavior, program trading, behavior supervision, deep learning, classification

CLC Number: 

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