Welcome to GPT-Augmented Momentum Strategy!

This course documents an end-to-end, audit-first workflow for developing a momentum-based stock selection strategy using a GPT-augmented research process.

What You'll Learn:

- Build a complete quantitative trading strategy from scratch

- Use GPT as a research copilot (not an oracle)

- Implement walk-forward validation to prevent data leakage

- Compare Long-Cash vs Long-Short strategy variants

- Create reproducible, auditable research workflows

What's Included:

- 8 production-ready Jupyter notebooks

- Complete dataset for backtesting

- GPT Strategy Book (80+ pages)

- All code templates and utilities

Prerequisites:

- Python programming experience

- Basic understanding of financial markets

- Familiarity with pandas and numpy