We construct a decision support system for intraday investment recommendations. The system is used to evaluate the joint informativeness of news and market data. We employ various modeling and analysis improvements to enable unbiased evaluation. Combining the two data sources significantly improves stock purchase decisions. We suggest a new method–‘sentiment calibration’ to improve sentiment scoring.
