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In traditional asset classes alternative data is defined as every piece of information that comes on top of standard financial market and reporting data. Machine learning techniques help to identify non-obvious patterns in both kind of data sources. In the crypto space, however, it’s not even clear what kind of data can be seen as “standard” or “alternative”. In the following reports QI lifts the fog and lays out an investor framework how to assess data-driven investments – be it in traditional finance or the crypto sphere.
A strong network of established partners is a solid foundation for sustainable growth. QI Investment’s products and services are supported by long-standing partners that are closely located to QI’s offices in Munich and Luxembourg. From there a team of quant analysts is working on innovative solutions for a like-minded investor audience.
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We combine new data sources with machine learning techniques to reveal nonlinear relationships and identify new pathways in investing.
