Home / Factor research
leoncuhk/awesome-quant-ai
Curated resources on AI and machine learning for quant investing
What it is
A curated list of resources on applying artificial intelligence and machine learning to quantitative investment and trading. It gathers papers, open-source projects, datasets and learning material, organised around AI-driven strategies and factor research. Quant researchers and developers looking for a reading list in this area can use it as a starting map. As a link collection it contains no runnable framework of its own, and entries vary in depth and quality.
At a glance
Research onlyOur rating, based on popularity, maintenance and how ready it is for real use.
| Best for | Professional quants |
|---|---|
| Used for | Strategy research, Data analysis |
| Markets | Multi-market |
| Stack | Jupyter Notebook |
| Learning curve | Easy to start |
| Practical value | Medium practical value |
| Cost | Free and open source |
| Hardware | No GPU needed |
| Maintenance | Last commit 3 days ago |
GitHub stars, last 30 days
Daily snapshots since 2026-09-28 (up to 30 days): +26 over the period, now 648. Gaps mean no snapshot was taken that day.
A curated list of awesome resources for quantitative investment and trading strategies focusing on artificial intelligence and machine learning applications in finance.
Similar tools
Portfolio analytics and performance tear sheets for quants
Financial function library for quantitative analysis in Python
Three-way sentiment labels for Japanese financial text
Three-way sentiment labels for Chinese financial text
Jupyter notebooks companion to Machine Learning for Trading
Additive time series forecasting with automatic seasonality handling