CUATS

Cambridge University
Algorithmic Trading Society

Recent Events

CUATS Industry-Sponsored Workshop : Da Vinci
Have you always been curious about a career in trading? Da V...
CUATS Industry-Sponsored Workshop : Citadel Securities
Join Citadel Securities for an interactive workshop to showc...
CUATS Introductory Coding Session
CUATS will be holding its first Introductory Coding Session ...
CUATS Hackathon 2024
CUATS is pleased to launch its inaugural Hackathon!   A 24...
Construction of Arbitrage-Free Volatility Surfaces
CUATS is excited to host a Speaker Series talk titled "Pract...
CUATS Gala 2024
Welcome to the CUATS Gala 2024, our flagship event of the ye...

About Us

The Cambridge University Algorithmic Trading Society (CUATS) is the first student society in Cambridge to promote the understanding of algorithms and their applications in financial trading. CUATS aims to provide interdisciplinary education on algorithm development and the basics of financial investment strategies.

Active Members

Yearly Events

Years of History

Hours of

Coding Lessons

What We Do

Speaker Series

 

We host outstanding, accomplished individuals across industry and academia. Experts in algorithmic trading share their experiences and successful strategies with students in talks.

 

Coding Sessions

 

Join our bi-weekly Sunday coding sessions where students get introduced to mathematical concepts behind algorithmic trading, learn strategies, and how to implement them in their code.

CV Consulting/Careers 

 

Join our career events with top industry employers and many networking opportunities

Contact Us

 

If you have any questions or suggestions, feel free to reach out to us

Address:

Cambridge University Algorithmic Trading Society

SU Building, 17 Mill Lane

Cambridge, CB2 1RX

United Kingdom

 

Phone:
+44 (0)1223 333 313

 

E-mail:

president@cuats.co.uk

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E-Mail: ____@cuats.co.uk

 

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Cambridge University Algorithmic Trading Society

SU Building, 17 Mill Lane

Cambridge, CB2 1RX

 

 

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© Cambridge University Algorithmic Trading Society

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Years of History

Hours of Coding Lessons

Major Sponsors

Societal and intersocetal events

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CUATS in stats

Meet the Committee

Farouk Hadeed

President

Farouk is the president of the society

Christos Antonopoulos

Vice President

Christos is a second year enginneering student in Homerton College

Alex ...

Description

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Description

About us 

 

The Cambridge University Algorithmic Trading Society (CUATS) is the first student society in Cambridge to promote the understanding of algorithms and their applications in financial trading. CUATS aims to provide interdisciplinary education of algorithm development and the basics of financial investment strategies. In the forms of workshops, networking sessions and tutorials (code writing of your own investment strategies), we wish to provide our members the necessary skills and the many opportunities to pursue a career in the financial industry as well as in the big data industry.

Vision

 

The Cambridge University Algorithmic Trading Society  is the first student society in Cambridge to promote the understanding of algorithms and their applications in financial trading. CUATS aims to provide interdisciplinary education of algorithm development and the basics of financial investment strategies. In the forms of workshops, networking sessions and tutorials (code writing of your own investment strategies), we wish to provide our members the necessary skills and the many opportunities to pursue a career in the financial industry as well as in the big data industry.

Mission

 

The Cambridge University Algorithmic Trading Society (CUATS) is the first student society in Cambridge to promote the understanding of algorithms and their applications in financial trading. CUATS aims to provide interdisciplinary education of algorithm development and the basics of financial investment strategies. In the forms of workshops, networking sessions and tutorials (code writing of your own investment strategies), we wish to provide our members the necessary skills and the many opportunities to pursue a career in the financial industry as well as in the big data industry.