Astrai is a quantitative research startup founded with the mission of bringing clarity, practicality, and openness to modern financial research. We explore the space where theory meets implementation — replicating academic papers, building tools, and sharing insights along the way.

Our work centers around quantitative finance, with a strong focus on systematic strategies, factor models, risk modeling, and machine learning applications. We believe that rigorous research should not only be reproducible but also accessible — and that great ideas deserve to be tested, questioned, and evolved.

At Astrai, we build lightweight tools, write about experiments and failures, and dive deep into the mechanics of financial models. We're not a fund or a consultancy — we're an independent initiative driven by curiosity and a desire to contribute meaningfully to the quant ecosystem.

Whether you're a researcher, a developer, or someone who just enjoys exploring ideas at the intersection of data and finance, we hope our work offers something insightful. We’re just getting started — and we’re excited to share the journey.