| Document Date: 2014-10-02 20:05:14
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City Vienna / / Company IBM / Amazon / Chicago Board Options Exchange / Standard and Poor / Twitter / Google / Goldman Sachs / Apple / / Country Austria / United States / / IndustryTerm web data sources / search engine data / machine learning algorithm / search queries / microblogging services / / MarketIndex S&P 100 / Dow 30 / / OperatingSystem Linux / / Organization Foundation for Statistical Computing / / Person Lasse Heje Pedersen / Anne B Koehler / Rob J Hyndman / Yakov Amihud / Leonard J Tashman / Haim Mendelson / / Position major US index / Rt / representative / / Product StockTwits / M-16 / / ProgrammingLanguage R / Python / / PublishedMedium Review of Financial Studies / The Journal of Behavioral Finance / / Technology neuroscience / t-1 / JSON / machine learning algorithm / Linux / search engine / / URL http /
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On the Predictability of Stock Market Behavior using StockTwits Sentiment and Posting Volume Abstract. In this study, we explored data from StockTwits, a microblogging platform exclusively dedicated to the stock market.