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Forex-foreteller

Published 11 August 2013
Fang Jin, Nathan Self, Parang Saraf, P. J. Butler, Wei Wang, Naren Ramakrishnan
Citations42

TL;DR

Forex-foreteller is presented which mines news articles and makes forecasts about the movement of foreign currency markets and has an interactive visualizer designed specifically for touch-sensitive devices which depicts forecasts along with the chronological news events and financial data used for making the forecasts.

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 uses a combination of language models, topic clustering, and sentiment analysis to identify relevant news articles. These articles along with the historical stock index and currency exchange values are used in a linear regression model to make forecasts. The system has an interactive visualizer designed specifically for touch-sensitive devices which depicts forecasts along with the chronological news events and financial data used for making the forecasts.

Keywords

Computer ScienceDecision SciencesEconomics, Econometrics and Finance