Introduction Stock price variabilities are nowadays even more affected by positive and negative news. New media channels like Twitter, Facebook, Finance Pages and News Pages, make the news rapidly available and accessible for everybody. It is an enormous amount of distributed data (Big Data), which could no longer be evaluated by a single individual. Powerful and lots of hardware along with suitable systems are needed to gather and interpret this mass of data. With Spring XD (Extreme Spring Data), such a system for big data interpretation and analytics is available. The aim of Spring XD is to facilitate the development of big data applications and to provide an architecture for data acquisition, data processing, data analysis and data export. This article illustrates how positive and negative messages can influence the stock price variability’s implemented with the help of Spring XD.