The OptiverTrading Game 2026
Optiver will be launching the Tilburg Trading games, a course open to Tilburg University students. Led by Optiver industry expert Robbert Pullen, the course introduces students to the foundations of financial markets and options theory, progressing to hands-on algorithm development and testing in Python. Participants will work on Optiver’s simulated exchange, Optibook, combining academic concepts with practical industry application.
Please note that this course is purely educational and not linked to any recruitment process. Participation will not affect future applications to Optiver.
You’ll walk away with:
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A deep understanding of financial markets, options theory and algorithmic trading – no financial background required!
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Direct experience on a simulated market exchange, offering a glimpse into what it’s like to work as a trader at a leading global market maker.
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The skill to design and optimise a Python trading algorithm based on real financial market data.
Course overview
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Market making theory: Foundations of market making, including options theory, evolving to practical data analysis and Python algorithm design.
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Hands-on practice: Build and optimise Python-based trading algorithms in Optibook, our real-time simulated exchange.
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Competitive challenges: The course concludes in a competitive event where you’ll deploy your Optibook algorithms against those of your peers. This event replicates the high stakes and rewards of real trading, giving you insights into the day-to-day life of a trader. An exciting prize awaits the winning team!
Eligibility criteria
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A registered student at Tilburg University
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A strong aptitude in mathematics
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Basic coding proficiency – participants will use Python for this challenge
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No prior backgrounds in financial markets is required
Application procedure
After you submit your registration, you will hear back about your application decision by April 7th.
Key dates
►Dates: 17 and 24 April and 1 May
►Time: 11:00 to 14:30
Application deadline: 3 April, 12:00 CET
Apply below for this incredible opportunity to enhance your knowledge and get practical skills in the world of algorithmic trading.