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Duke University Trains the Next Generation of Quants on QuantConnect

QuantConnect empowered Duke University's algorithmic trading program with powerful backtesting, live trading capabilities, and seamless support for cutting-edge finance research.

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Overview | Opportunity | Challenge | Results

Next: Boston University (Academia) | Read Story

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>$3M

Deployed to Market

>$50,000

Infrastructure Savings

10+ Team

Hired and collaborates on QuantConnect

Overview

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overview

"In our MA585 Algorithmic Trading course students learn how to develop an algorithm, and track how it interacts with live markets to see how their strategies perform. To design a viable algorithm we need a robust backtesting engine, we explored many options and found QuantConnect is the most suitable for our class needs. QuantConnect is easy to use, has a wide variety of instruments and asset classes, and supports an extensive library of python packages students can use." .

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Dr. David Ye

Faculty Member - Duke University

Opportunity

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  • QuantConnect extends discounts to educational institutions, demonstrating continuous support for the academic community.
  • Professor David Ye was able to avoid the costly process of creating his own platform, considering the expenses involved in both initial build and ongoing maintenance.

Challenge

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Results

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Technologies Used

  • Backtesting

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  • Datasets

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  • GPU Nodes

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