Publication | Closed Access
Stock trade volume prediction with Yahoo Finance user browsing behavior
28
Citations
7
References
2014
Year
Unknown Venue
Search Engine OptimizationEngineeringSearch Engine MarketingCommunicationBusiness AnalyticsVolume PredictionWeb AnalyticsJournalismComputational Social ScienceSocial MediaInformation RetrievalData ScienceWeb Search VolumesManagementPrediction MarketPredictive AnalyticsWebometricsTrading ModelWeb TrafficForecastingYahoo Finance UserMarketingWeb TrendFinanceAutomated TradingInteractive MarketingStock Market PredictionFinancial ForecastPowerful Mirror
Web traffic represents a powerful mirror for various real-world phenomena. For example, it was shown that web search volumes have a positive correlation with stock trading volumes and with the sentiment of investors. Our hypothesis is that user browsing behavior on a domain-specific portal is a better predictor of user intent than web searches.
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