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Stock_Analysis_For_Quant
Stock analysis across Excel, Matlab, Python, R, and Tableau
What it is
A multi-language collection of notebooks and scripts covering stock analysis in Excel, Matlab, Power BI, Python, R, and Tableau. It implements data, technical, fundamental, and quantitative analysis, candlestick pattern identification, and assorted trading strategies across stocks, options, bonds, mutual funds, and ETFs. Learners and quant researchers who want to reproduce classic analytical methods in multiple tools will find it useful. As a research and educational codebase rather than a product, it requires adapting the code to your own data sources and production needs.
At a glance
Research onlyOur rating, based on popularity, maintenance and how ready it is for real use.
| Best for | Beginners |
|---|---|
| Used for | Strategy research, Data analysis |
| Markets | Multi-market |
| Stack | Python, R, Matlab |
| Learning curve | Easy to start |
| Practical value | Low practical value |
| Cost | Free and open source |
| Hardware | No GPU needed |
| Maintenance | No commits in over six months |
GitHub stars, last 30 days
Daily snapshots since 2026-09-12 (up to 30 days): +5 over the period, now 2,063. Gaps mean no snapshot was taken that day.
Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau.
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