Our research focuses on engineering a system that can autonomously explore and evaluate the space of trading ideas.
We study how signals, features, model architectures, and market regimes interact — applying machine learning and optimization to extract structure from noisy data.
The goal is not prediction alone, but a deeper understanding of why and when a strategy works.