Who We Are
Our Mission
PolQuant exists to challenge market beliefs using evidence, not narratives - and to make that evidence accessible to serious market participants. We combine quantitative finance, computer science, and economics to test what markets think is true against what data actually shows.
We publish what doesn't work - even when it costs us. Our research follows four pillars: identify the belief, test it against data, report the result honestly, and frame the implication for practitioners. Institutional-grade thinking, communicated clearly.
Our Approach
Every hypothesis we explore is subjected to exhaustive out-of-sample testing with realistic transaction cost models and market impact estimates. We don't publish strategies built on overfitted, frictionless simulations - if an idea doesn't survive rigorous validation, we say so.
Our research infrastructure enables rapid iteration across equities and related markets, built on proprietary data pipelines, machine learning frameworks, and execution technology. We are practitioners first - researchers who operate in live markets, not theorists working in isolation.
