Sometimes huge events, are tough to predict only based on numeric value analytics. Those usually don't follow the recurrent pattern (such as huge deals, are kind of regular). For example a ban of Bitcoin in China was such an event. This affected the market value - but only after a certain amount of time, after people got to know about it. This takes time, and we can inform you first. We are analysing social media streams, a major one is the twitter API, and running every minute natural language processing algorithms on those. Utilizing sentiment analysis we can get a numeric picture of the current event. Our model learns, which patterns are 'odd' and when to contact you via notification.