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Manudecara/Algo-Trading
Trading strategies, tutorials and research in R, C++ and Python
What it is
A personal repository of trading strategies, tutorials and quantitative finance research written in R, C++ and Python. Topics include machine learning and high-frequency trading, presented as code with accompanying write-ups. Developers and investors who learn from worked research examples will find a range of material to study. It is one author's research collection, so quality and depth vary from project to project.
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 | R, C++, Python |
| Learning curve | Steep learning curve |
| 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 2026-09-28 (up to 30 days): +1 over the period, now 151. Gaps mean no snapshot was taken that day.
This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequen
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