This document discusses using Twitter data to predict breakpoints in financial markets. It describes an experiment that analyzed tweets to measure context change, which correlates to market volatility. When a trading algorithm stopped trading after Twitter alerts, its profits increased from 0.56% to 1.27%, showing Twitter can predict breakpoints 4-6 minutes before they occur. The results demonstrate a link between social media information on Twitter and upcoming changes in foreign exchange rates.