Algorithmic trading
We develop, backtest, and discuss trading strategies in Python. Focus on clean data, signals, risk, and robustness.
We’re UIO Quant Society, a student-run community for anyone curious about quantitative finance, algorithmic trading, and data-driven investing.
UIO Quant Society brings together students who enjoy math, computer science, economics, and statistics. We build skills used in finance: data analysis, modelling, optimisation, and risk management. Just as important, we keep the vibe friendly and low-pressure so it’s easy to learn and share.
Our motto is “a bridge between campus and work life.” You’ll get practice building and testing strategies, working in teams, and presenting results.
Workshops, talks, and small projects across quant, data analysis, and programming.
Sparring and discussion across disciplines. Share experiences, build competence, learn from each other.
Company meetups, case evenings, and concrete tips for CVs and interviews — a direct link to relevant employers.
We develop, backtest, and discuss trading strategies in Python. Focus on clean data, signals, risk, and robustness.
Brain teasers, probability, statistics, financial math, and coding — the type of problems you’ll meet in quant interviews.
Open discussion, share progress and ideas, socialize with other quants.
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We’ll share projects as we build them. The first ones will be ready soon.
Want to join, or represent a company that wants to collaborate? Send us an email, we will reply quickly.