Tweets Can Predict Stock Market Days In Advance (IU Informatics)

According to Johan Bollen at Indiana University's Informatics Department, mood on Twitter can predict stock market moves 4 days in advance, 87.6% of the time. Here is the research paper by Johan Bollen, Huina Mao, Xiao-Jun Zeng (University of Manchester). According to Bloomberg, the Derwent Absolute Return Fund just raised $39 million to capitalize on this. Read more at Bloomberg.com and IDS (Indiana Daily Student). *I embedded a Bloomberg clip featuring Bollen from 10/20 after the jump.




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