Predicting short-term stock prices using ensemble methods and online data sources.

•A financial expert system for predicting the monthly stock price.•“Knowledge base” captures the impact of traditional and online sources.•The “engine” uses four ensemble machine learning methods.•The error for most ensembles considered is  < 1%.•The system is hosted online and freely available.