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Winning by Following the Winners: Mining the Behaviour of Stock Market Experts in Social Media

  • Wenhui Liao
  • Sameena Shah
  • Masoud Makrehchi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8393)

Abstract

We propose a novel yet simple method for creating a stock market trading strategy by following successful stock market expert in social media. The problem of “how and where to invest” is translated into “who to follow in my investment”. In other words, looking for stock market investment strategy is converted into stock market expert search. Fortunately, many stock market experts are active in social media and openly express their opinions about market. By analyzing their behavior, and mining their opinions and suggested actions in Twitter, and simulating their recommendations, we are able to score each expert based on his/her performance. Using this scoring system, experts with most successful trading are recommended. The main objective in this research is to identify traders that outperform market historically, and aggregate the opinions from such traders to recommend trades.

Keywords

Stock Market Social Medium Trading Strategy Trading Cost Sentiment Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Wenhui Liao
    • 1
  • Sameena Shah
    • 1
  • Masoud Makrehchi
    • 2
  1. 1.Thomson ReutersUSA
  2. 2.University of Ontario Institute of TechnologyCanada

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