Founder
Dmitry Sabanin
Fund director, multidisciplinary research lead, and architect of the core platform. CEO of Supersolid, with 25 years of experience building products and leading engineering teams.
The research behind the portfolio.
Mathematical modeling, fundamental analysis, and custom AI inform a connected view of markets. Risk management and diversification shape how that research becomes a portfolio.
Mathematical modeling & econophysics
We study markets as interacting systems. Probability, statistics, and ideas from physics help us examine collective behavior, liquidity dynamics, and transitions between market regimes.
Fundamental analysis
We examine the economic drivers behind assets and businesses. Fundamental analysis gives context to quantitative signals, connecting market prices with the forces that influence value.
Correlation engine
Our correlation engine investigates relationships across financial markets and the wider world, from regional temperatures and commodity prices to world events and market behavior. Environmental, economic, and other diverse datasets help us explore signals, shared drivers, and hidden exposures.
Custom ML pipelines & AI models
We build machine-learning pipelines and proprietary AI models for pattern recognition, signal discovery, and strategy research. Reproducible experiments and validation connect model development to practical trading decisions.
Generative AI
Generative AI supports the analysis of unstructured information, research synthesis, and the development of new hypotheses. Its outputs feed a broader process of modeling, testing, and evaluation.
Risk management & diversification
We evaluate strategies together: their shared exposures, concentration, liquidity, and behavior under stress. Diversification is assessed through underlying risks and changing correlations, with regime independence and crash resilience as design objectives.
