#33 · Primary category: Financial Data & Analytics Platforms

Finance

algorithmic-trading data-science finance machine-learning pandas python quantitative-finance stock stock-market stocks technical-indicators trading-strategies

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

Project last updated:03/26/26

GitHub Stars

4.2K

Forks

361

Contributors

3

License

MIT

Why we included this project

This is a practical collection of more than 150 standalone Python scripts for anyone working with stock market data. Each program does one specific job, whether that means pulling price and company data through APIs, computing indicators like Bollinger Bands and RSI, screening stocks on fundamentals, or simulating trading and portfolio strategies. Because every script runs on its own, you can reach for just the piece that fits your current problem instead of adopting a whole framework. The short, clearly labeled programs also make this a useful place to learn how common quant workflows are actually coded, from handling financial data with pandas to building simple classification models. Beginners get a guided tour, and more experienced users can cherry-pick utilities to adapt or extend. Just keep in mind this is educational material rather than a production system: treat the scripts as reference implementations and validate them against your own data before relying on the outputs.

Articles for this project

No articles for this project yet.

To suggest a topic or contribute an article, contact us.

Related projects in this category