This repository contains my project conducted as part of the "Databases" course during my Master's program. It focuses on analyzing the correlation between real-world football performances and trading behaviors of Sorare NFT cards.
- Data collection via API requests from Sorare and football statistics sources
- Database modeling with PostgreSQL
- Analysis using Python to uncover trading trends and performance correlations
For a comprehensive understanding of the project, including methodologies and detailed insights, please visit my portfolio page or take a closer look at the final paper in this repository for an in-depth analysis.