Trexquant Investment LP
Yanghyun Yoo is an accomplished alpha researcher at Trexquant Investment LP since February 2017, focusing on the development of statistical arbitrage trading strategies for global equity markets. Prior experience includes a data analyst internship at The Veloz Group, where Yanghyun constructed a stepwise regression model of house prices and conducted factor analysis using Python. At MIRAE ASSET SECURITIES, Yanghyun served as a research associate, specializing in the Korean tech sector and semiconductor industry while providing investment advice to institutional clients. Earlier in the career, Yanghyun worked as an actuarial programmer, developing a pension actuarial system. Yanghyun holds a Master’s Degree in Financial Engineering from UCLA Anderson School of Management and a Bachelor of Science degree in Mathematics and Computer Engineering from Sungkyunkwan University.
Trexquant Investment LP
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Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.