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.

Trading & Exchanges

Trexquant Investment LP

Trexquant Investment LP's headquarters in Stamford, CT, United States

Tyger Park

Ben Morof

Shiwen C.

Taranjit Singh

Saurabh Agarwal

Cara C.

Peng Gong

Denis Lapitski

Michael Marinic

Isabelle Chan

Kyle Nemchek Cfa

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People (27)

Kyle Nemchek Cfa

Elizabeth Drew

Isabelle Chan

Armstrong Park

Michael Marinic

Sophia Park

Zhen Yan

Denis Lapitski

Ting Qiao

Peng Gong

Longtao Han

Sihao Liang

Tsz Chun Wu

Zhu Jinhui

Sujay Prasad Srivastava

Yan Chen (Jonathan)

Junyi Zhang

Nange Li

Shunhuai Yao

Tanmay Pradhan

Wenjun Deng

Xia du

Yanghyun Yoo

Zehua Yu

Zizhuo Liu Ph.D.

Reetahan Mukhopadhyay

Gage Sanchez

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