Applying Data Processing Method for Relationship Discovery in the Stock Market

  • Mouataz Zreika
  • Jie Hua
  • Guohua Wang
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)


Decision making in the stock market is often made based on current events and the historical data analysis. In addition, related stock trends may affect investors’ future decisions. To extract such relationship between stocks, a proposed methodology applies data processing techniques on raw data collected from the Australian Stock Market, to provide investors another angle of view, comes with initiative potential connections analysis between listed corporations, which is based on pure mathematics computing.


Data processing The stock market Relationship analysis Time-series chart 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Western Sydney UniversitySydneyAustralia
  2. 2.University of Technology SydneySydneyAustralia
  3. 3.South China University of TechnologyGuangzhouChina

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