Who We Are
A proprietary trading firm led by traders and machine-learning researchers.
The Firm
Our methods range from large-scale machine learning to classical statistics, chosen by the problem rather than by preference.
Every strategy is tested rigorously before capital is committed, and only a small fraction reach production.
A focused firm, built on rigorous research and measured by long-term results.
Our history
Aris Capital was founded in 2011 by Dr. Seth Huang, shortly after he completed his Ph.D. in financial economics at Cornell University. The firm began with a narrow purpose: to apply methods from machine learning, then largely confined to academic research, to the problem of forecasting markets.
Since then, the firm’s research has progressed from early statistical models to large-scale machine learning and, more recently, to language models that read filings, transcripts, and macroeconomic data. Its structure has remained the same. Aris trades only its own capital, which allows it to take a long view and to hold every strategy to the same standard of evidence.
The firm values intellectual honesty, careful measurement, and the patience to let research mature before capital is committed.