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This paper provides further evidence on the predictive power of online community traffic with regard to stock prices. Using the largest dataset to date, spanning 8 years and almost the complete set of SP500 stocks, we train a classifier using a set of features entirely extracted from web-traffic data of financial online communities. The classifier is shown to outperform the predictive power of a baseline classifier solely based on price time-series, and to have similar performances as thedoi:10.1109/hicss.2013.498 dblp:conf/hicss/Dondio13 fatcat:bklgious45bthd7v5dconuq2ma