BNP Paribas is our quantitative investment solutions provider.

Privalux Management offers a range of quantitative investment strategies based on AI statistical pattern recognition processes. This systematic approach can be used alone or combined with conviction-based asset management, providing an innovative and robust approach to risk management.

Through various investment vehicles (AMC, SMA…), we develop a quantitative investment process built on proven scientific theories. We couple this with algorithms to identify investment opportunities.

Statistical pattern recognition

Statistical pattern recognition is the branch of statistics that deals with the identification and classification of patterns in data. It is a type of supervised learning, where the data is labeled with class labels that indicate which class a particular instance belongs to. The goal of statistical pattern recognition is to learn a model that can accurately classify new data instances based on their features.

https://www.complexica.com/

Privalux Management – 2025 – Catch THEMES ©