With access to intraday stock market quotes of the past decade, provided by our project partner Lenz+Partner AG, we created a “big data” platform for algorithmic data analysis. Systematically, we not only evaluated common methods used in the financial domain but also applied modern data mining techniques to predict and analyze trends and patterns.

To complement these purely quote-based approaches, we also implemented various web- and sentiment-mining methods. With data from web pages, news sites and social networks, we are able to identify trends in text based data, as well. Combining these two fields, our platform can be used to test, simulate and visualize different methods of analysis with regard to the stock market.