Innovation meets discipline

Sibylla brings together a world-class research team and experienced investment professionals.

Alex Bronstein
Apostolos Katsaris
Damon Mannion
Ernesto Schmitt
Khan Baykaner
Lara Visentin
Neil Moles
Roger-Marc Noirot

The research team leverages advanced machine learning to build a dynamic trading engine that leads to a robust, repeatable investment process that delivers low correlation.

The investment team provides a robust institutional framework – enforcing risk controls and delivering transparency for investors.

The story behind the name

The name Sibylla is rooted in ancient history. In Greek and Roman tradition, a sibyl was a prophetess – a figure believed to possess the power of foresight, interpreting signs and offering glimpses of the future.

In modern markets, we are surrounded by noise. Our platform is designed to uncover faint but meaningful patterns in data, and our research process seeks to bring insight to this complex landscape.

Just as the sibyls of antiquity were sought for insight into the unknown, the Sibylla research process seeks to bring insight to the complexity of financial markets.

A bold step forward in research capability

Sibylla represents a shift in how we understand financial markets. Advanced machine learning transforms raw technical, fundamental, macro and alternative data into investment signals beyond human analytical capabilities.

Emotionless, evidence-led decisions

Proven and transparent investment process

Powered by people and technology

Not hype, but science

75,000+
hours’ research
20+
team members
500,000+
lines of code
70%
of team members hold advanced degrees

Our latest insights

Exploring systematic investing trends and technological innovations