Researchers have developed a model that uses data from Twitter to help predict the volume and value of a stock in an upcoming trading session.
The model was created by three researchers at Yahoo! In Spain, Vagelis Hristidis, an associate professor at the Bourns College of Engineering, at the Unviersity of California in Riverside and one of his graduate students. A trading stragegy based on the model outperformed other baseline strategies by between 1.4 percent and nearly 11 percent, the researchers said.
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