This page offers a curated selection of Traders@SMU Slide decks, Online Python resources, books, and trading tools to help students develop their skills in trading and investment analysis.
To be a competitive applicant, we expect a strong foundation in the concepts covered in these decks. They’re designed to be more than surface-level review—focus on how the topics connect and how they show up in real strategies. Furthermore, Python proficiency is a key differentiator, as our projects rely on programmatic model development, prior coding experience is strongly preferred.
These resources will get you from basic Python syntax to writing code for real trading strategies. Start with the core Python tutorials, then work your way through NumPy, pandas, and quant-focused examples.