Abstract
Financial markets are quite sensitive to unanticipated news and events. Identifying the effect of news on the market is a challenging task. In this demo, we present Forex-foreteller (FF) which mines news articles and makes forecasts about the movement of foreign currency markets. The system us- es a combination of language models, topic clustering, and sentiment analysis to identify relevant news articles. These articles along with the historical stock index and curren- cy exchange values are used in a linear regression model to make forecasts. The system has an interactive visualizer de- signed specifically for touch-sensitive devices which depicts forecasts along with the chronological news events and fi- nancial data used for making the forecasts.
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