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. © 2014 Springer International Publishing Switzerland.
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CITATION STYLE
Liao, W., Shah, S., & Makrehchi, M. (2014). Winning by following the Winners: Mining the behaviour of stock market experts in social media. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8393 LNCS, pp. 103–110). Springer Verlag. https://doi.org/10.1007/978-3-319-05579-4_13
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