Yining (Coco) Qu
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Yining (Coco) Qu Email & Phone Number

Hardware Trading Analyst at Luxor Technology
Location: Chicago, Illinois, United States 8 work roles 3 schools
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✓ Verified August 2026 3 data sources Profile completeness 86%

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Current company
Role
Hardware Trading Analyst
Location
Chicago, Illinois, United States

Who is Yining (Coco) Qu? Overview

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Quick answer

Yining (Coco) Qu is listed as Hardware Trading Analyst at Luxor Technology, based in Chicago, Illinois, United States. AeroLeads shows a matched LinkedIn profile for Yining (Coco) Qu.

Yining (Coco) Qu previously worked as Quantitative Research Analyst Intern at Innealta Capital and Quantitative Researcher - University of Chicago Project Lab at Manteio Capital. Yining (Coco) Qu holds Master'S Degree, Financial Mathematics Program, 3.8 from University Of Chicago.

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Email format at Luxor Technology

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Luxor Technology

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Profile bio

About Yining (Coco) Qu

I'm currently a graduate student at the University of Chicago in Financial Mathematics program with expected graduation in Dec 2024. I earned Bachelor's degrees in Applied Mathematics and Economics from Emory University in May 2023. I am dedicated to further enhancing my skill set in quantitative finance, as I aim to establish a career within this domain. At present, I am actively pursuing full time opportunities.

Current workplace

Yining (Coco) Qu's current company

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Luxor Technology
Luxor Technology
Hardware Trading Analyst
Los Angeles, CA, US
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8 roles

Yining (Coco) Qu work experience

A career timeline built from the work history available for this profile.

Quantitative Research Analyst Intern

Austin, Texas, United States

• Developed and executed SQL queries to extract investment strategy data into Python, generating comprehensive performance summaries and visualizing economic data from FRED to enhance the daily portfolio management report• Utilized Fama MacBeth regression to assess the risk premium and significance of an existing signal• Identified and resolved ad hoc problems, provided actionable insights for research meetings focused on discovering potential investment strategies and integrating recent academic advancements

Jun 2024 - Aug 2024

Quantitative Researcher - University Of Chicago Project Lab

Chicago, Illinois, United States

• Utilizing Reinforcement Learning frameworks with Decision Transformers to develop and refine long-short equity statistical arbitrage strategies, and conducting quantitative analysis for return forecasting to reinforce the robustness and profitability of trading strategies

Mar 2024 - May 2024

Quantitative Researcher - University Of Chicago Project Lab

Chicago, Illinois, United States

• Conceived and drafted a research proposal on asset pricing, constructing factors and employing regression models to assess factor significance, with robustness checks via bootstrapping and Cowles tests.• Employ SQL for effective data management and integrated Git for version control, enhancing collaborative investment strategy development

Jan 2024 - Mar 2024

Quantitative Research Intern

Hangzhou, Zhejiang, China

• Researched investment strategies to develop the most suitable investment targets for conservative investors• Created corresponding investment strategies using specific grid trading and market timing approaches in Python to improve 47% returns and reduce risk by 20%• Engaged in high-frequency trading of oil futures; contributed to daily meetings for market analysis, trade evaluation, and strategy formulation; applied risk management and market analysis techniques to enhance trading skills

Jul 2023 - Aug 2023

Undergraduate Research Assistant

Georgia, United States

• Conducted explosive behavior and multiple structural break tests using STATA to identify specific copper price fluctuation period, generated the abnormal return to determine the impact of winning the Minnie Healy lawsuit on copper stock prices• Utilized fuzzy matching algorithm in Python to merge the trust companies’ daily stock exchange data in 1904 and 1905-1910• Managed research assistants by assigning tasks and checking completion progress, and organized weekly meetings with professor

Jan 2022 - May 2023

Investment Banking Summer Intern

Shanghai, China

• Assisted in assembling due diligence report for private placement of a listed company and writing the basic situation and company’s position in the TV and film industry• Developed customer and supplier interview syllabi and conducted interviews; collated the shareholder penetration and the official announcements of two IPO projects

Jul 2021 - Aug 2021

Industry Research Intern

Golden Ant Equity Investment Management Co., Ltd

Hangzhou, Zhejiang, China

• Investigated Kinggrid Technology to analyze its industry status in the electronic contract industry• Studied artificial intelligence foreign merger and acquisition cases and identified profitability, industry scale, and popularity for each AI category to assist in assembling the industry analysis report

Sep 2020 - Jan 2021
3 education records

Yining (Coco) Qu education

Bachelor'S Degree, Economics (Financial Economics Concentration) And Applied Mathematics, 3.9

Dean’s List: Fall 2021

FAQ

Frequently asked questions about Yining (Coco) Qu

Quick answers generated from the profile data available on this page.

What company does Yining (Coco) Qu work for?

Yining (Coco) Qu works for Luxor Technology.

What is Yining (Coco) Qu's role at Luxor Technology?

Yining (Coco) Qu is listed as Hardware Trading Analyst at Luxor Technology.

Where is Yining (Coco) Qu based?

Yining (Coco) Qu is based in Chicago, Illinois, United States while working with Luxor Technology.

What companies has Yining (Coco) Qu worked for?

Yining (Coco) Qu has worked for Luxor Technology, Innealta Capital, Manteio Capital, Alpha Squared Capital, and Emory University.

How can I contact Yining (Coco) Qu?

You can use AeroLeads to view verified contact signals for Yining (Coco) Qu at Luxor Technology, including work email, phone, and LinkedIn data when available.

What schools did Yining (Coco) Qu attend?

Yining (Coco) Qu holds Master'S Degree, Financial Mathematics Program, 3.8 from University Of Chicago.

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