Sage Trading is a quantitative trading firm built on a simple conviction: markets are among the most complex systems humans have ever created, and understanding them demands the same rigor we bring to the hardest problems in science.
We treat trading as a research discipline. Every strategy we deploy begins as a hypothesis, is tested against evidence, and survives only if the data holds up. We pair deep quantitative modeling with modern machine learning and artificial intelligence to find signal in noise, to adapt as markets evolve, and to make decisions at a speed and scale no human could match alone.
At Sage Trading, we revere the culture of academia and the discipline of rigorous science. We ask hard questions, we challenge our own assumptions, and we let results — not opinions — settle the debate. We believe the best ideas can come from anyone, and that the pursuit of truth is a collaborative one.
Hard questions are the starting point of every strategy. We would rather sit with an open problem than settle for a comfortable answer.
We challenge our own assumptions and let results — not opinions — settle the debate. A hypothesis survives only if the data holds up.
We prize the elegant solution over the expedient one — systems built to be understood, maintained, and trusted.
The same standards that govern great research govern how we build.
Sage Trading was founded by Yuan Fang, Liang Tang, and Eric Li — a team united by a shared belief that the frontier of trading lies at the intersection of mathematics, science, and artificial intelligence.
Together, they set out to build a firm where world-class researchers and engineers could do their best work: solving genuinely hard problems, held to the highest standards, and free to follow the science wherever it leads.
We hire for one thing: the ability to find truth in data. Hover over a role to see the full description.
Log in to the investor desk to view strategies, research, and live portfolio performance.