rmcmillan34 / algorithmic-trading-learning-roadmap
A comprehensive learning roadmap for mastering the core disciplines necessary for successful sole algorithmic trading. This repository serves as a structured template, guiding users through essential topics in software engineering, data science, machine learning, and finance. It combines certifications, curated resources, and hands-on projects.
Why this job: says: learning roadmap, roadmap; topics: roadmap
What it does
Welcome to the Algorithmic Trading Learning Roadmap repository! This repository provides a structured, comprehensive roadmap for developing expertise in the core skills needed to become a proficient algorithmic trader. It includes resources, certifications, and project ideas across various fields that intersect in the world of algorithmic trading, such as AI, data science, finance, software engineering, cloud computing, and more.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 9 months ago
- Stars
- 258
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Shell
- 52% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 0% closed
- 1 still open
- Pull requests
- 6 merged
- 1 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Shell 52%
- Mermaid 48%
Topics
- algo-trading
- algorithmic-trading
- artificial-intell
- computer-science
- data-science
- education
- education-project
- machine-learning
- mathematics
- maths
- quant
- quantiative-finance
Project record
- JobLists and guides
- StatusListed
- Commits67
- Forks31
- Watching5
- Stars in 28 days+7
- CreatedNov 14, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026