Stock trade volume prediction with Yahoo Finance user browsing behavior

Ilaria Bordino,Nicolas Kourtellis,Nikolay Laptev,Youssef Billawala

Data Engineering（2014）

引用 40|浏览25

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摘要

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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关键词

portals,stock markets,Web search volumes,Web traffic,Yahoo Finance user browsing behavior,domain-specific portal,investor sentiment,positive correlation,stock trade volume prediction

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