Projects
Student-led quantitative finance projects including backtesting tools, research publications, and competition entries.
Projects start when someone has an idea and others are interested. You pitch it, people join, and you start building together.
What People Are Building
These are active projects that members are currently working on. Each one started as someone’s idea.
Platform
Backtesting platform for strategy development
Easy-to-learn tool with frictionless data loading and report compilation for strategy hypothesis testing.
Python Docker Library Development
View ProjectResearch Publications
Student-led research papers
Supporting students in conducting original research and publishing findings in quantitative finance and algorithmic trading.
Python Research
View ProjectDurak Reinforcement Learning
RL agents for the card game Durak
Training agents via self-play to master the imperfect-information card game Durak. C++ game engine with Python RL training.
C++ Python Reinforcement Learning
View ProjectCompetition Projects
German Electricity
Energy market prediction
Forecasting German electricity prices and consumption patterns for the Ensimag IF competition.
Python Time Series ML
View ProjectStart Something New
Have an idea for a project? Here’s how it works:
- Pitch it. Share your idea with the community, even if it’s rough.
- Find people. Others who are interested will join.
- Start building. Meet up, figure out the approach, and learn as you go.
It doesn’t need to be polished or original. If you’re curious about something, chances are someone else is too. Reach out on the Join page or talk to any community member.