But you don't need a PhD from MIT to understand what we do:

True Positive Technologies estimates fair values for securities with more scientific confidence than those generated by traditional methods.

This requires

  • access to differentiated unstructured data sources

  • superior big-data analytical tools

  • novel financial machine learning (ML) methods

  • vast super-computing power

  • solving some of the most intractable problems in Finance

  • and ML-informed execution capabilities

 

Click on the video below to see a fast-clock demonstration of our predictive capabilities:


Marcos López de Prado

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Dr. Marcos López de Prado founded Guggenheim Partners’ Quantitative Investment Strategies (QIS) business, where he developed high-capacity machine learning (ML) strategies that consistently delivered superior risk-adjusted returns. After managing up to $13 billion in assets, Marcos acquired QIS and spun-out that business from Guggenheim in 2018.

Since 2011, Marcos has been a research fellow at Lawrence Berkeley National Laboratory (U.S. Department of Energy, Office of Science). One of the top-10 most read authors in finance (SSRN's rankings), he has published dozens of scientific articles on ML and supercomputing in the leading academic journals, and he holds multiple international patent applications on algorithmic trading. Among several books, Marcos is the author of "Advances in Financial Machine Learning" (Wiley, 2018).

Marcos earned a PhD in Financial Economics (2003), a second PhD in Mathematical Finance (2011) from Universidad Complutense de Madrid, and is a recipient of Spain's National Award for Academic Excellence (1999). He completed his post-doctoral research at Harvard University and Cornell University, where he teaches a Financial ML course at the School of Engineering. Marcos has an Erdős #2 and an Einstein #4 according to the American Mathematical Society.


A selection of recent SCIENTIFIC publications

For more journal articles, visit our research website at www.QuantResearch.org