Discover new Data Worlds
Explore untouched data sources and make them harvestable for the financial world.
The biggest opportunity for actors in the financial sector in this decade comes from the signals buried in the data generated by the digital economy. That so-called alternative data is the deepest, least utilized source of alpha in the world today. But, the data is often not readily accessible and less structured than traditional sources of data. Novel data-driven approaches using artificial intelligence and machine learning enable market participants to automatically collect, normalize, and analyze the data sets on a greater scale. As participant in our challenge of the F10 Fintech Hackathon in Zurich, you can build cutting-edge tools for businesses to integrate poorly structured data in a fully automated manner. Run your sophisticated Natural Language Processing algorithm, test your dark Random Forest or do a fancy Sentiment Analysis. The ultimate goal is a better understanding of alternative data and to make it ready for its usage in the financial sector. Such gained insights may help market participants to understand e.g. the relationship between the formulation of investment risks or stock market trends. This could reduce information asymmetries and thus contribute to the efficiency and stability of markets.