News

Sign up for the Qminers Quant Hackathon 2025

For students For applicants

Do you enjoy mathematics and machine learning? Have you ever heard of algo trading and found it interesting? Would you like to test your skills in a competition where the winning teams can win a total of CZK 100,000 and measure their strength against students from all over the country? Then the fourth annual Qminers Quant Hackathon 2025 is just for you – a competition that connects the world of data, algorithms, and technology with real-world challenges.

Instead of data from financial markets, this time the contestants will work with sports match results. However, the goal remains the same – to design a winning investment strategy using machine learning methods and beat the virtual bookmaker. You can participate alone or put together a team and work together to fine-tune models and predictive strategies. Attractive financial rewards await the best teams – the three winning teams will share CZK 60,000, CZK 30,000, and CZK 10,000.

The hackathon is divided into two parts. The first phase will take place online from November 7 to 28, 2025. Participants will gain access to validation data and will be able to test their betting strategies in the online environment. The solution will be implemented in Python, and evaluation will be based on the virtual profit achieved. This part serves primarily to familiarize participants with the data, test approaches, and improve models.

The twenty most successful individuals or teams will advance to the final round, which will take place on Saturday, December 6, 2025, from 9 a.m. to 6 p.m. at the Faculty of Electrical Engineering of the Czech Technical University in Prague. In the final, competitors will receive a new test dataset and will fine-tune their solutions in real time, monitor results, and compare themselves with others. They can look forward to a day full of programming, data analytics, excitement, and inspiration—and, of course, the announcement of the winners.

"Machine learning and mathematical modeling are among the key skills that our students develop during their studies. The hackathon gives them the opportunity to apply this knowledge to real-world problems," says Gustav Šír from the Department of Computer Science at the Faculty of Electrical Engineering of the Czech Technical University in Prague.

From Qminers' perspective, the competition is a great opportunity to introduce students to the world of cutting-edge technology and rapid decision-making. "Our trading systems operate in microseconds, which requires accurate mathematical models and efficient programming. The hackathon allows students to experience how such systems actually work," adds Petr Zahradník, CEO and owner of Qminers.

No advanced knowledge is required to participate, but strong teams usually combine skills in mathematics, machine learning, Python programming, and a certain amount of stress resistance, which definitely comes in handy in the intense final.

Registration for the competition is open until November 6, 2025, at qqh.fel.cvut.cz. Teams of two to four members as well as individuals can register. The event is organized by the algorithmic trading company Qminers in cooperation with the Intelligent Data Analysis group from the Faculty of Electrical Engineering at the Czech Technical University in Prague.

Last year's Qminers Quant Hackathon attracted more than a hundred teams from Czech universities. Twenty of them made it to the finals, and the winning team, SHAQ & KOBE from the Faculty of Information Technology at CTU, took home the grand prize of CZK 60,000.

If you enjoy data, modeling, and a competitive atmosphere, don't miss this year's event. Take on the challenge, test your skills, and discover a world where numbers rule.

Qminers is a Czech technology and investment company specializing in algorithmic trading and big data processing. It is dedicated to the development of advanced predictive models and automated trading strategies. The company is a long-term partner of the Faculty of Electrical Engineering at CTU, where it acts as a silver partner and actively supports education and talent development in the fields of data analysis, mathematics, and artificial intelligence.

Responsible person Ing. Mgr. Radovan Suk