Investigation for Relationship Between Trading Volume and News Articles

Abstract

This paper reports our research in progress on relations between volume of transactions and related news articles. Our current goal is to make a system to predict vlolume of transactions of a brand from the news articles related to the brand. Our algorithm clusters news articles by LDA and predicts whether the volume of transactions at a target day will increase or decrease.