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.
Privalux offers two flagship investment vehicles — available as Actively Managed Certificates (AMCs) — providing immediate and seamless access to our iRIS strategies. These instruments, backed by BNP Paribas, are designed for investors seeking rigorous, signal-driven exposure to equity markets without the complexity of traditional fund structures. Download our factsheets below to explore each strategy in detail.
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.

