makecindy
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cindy
Cindy is an open-source AI agent that runs locally on your machine, integrates multiple AI harnesses and models, and provides memory, skills, and automation to perform real work in your projects and apps.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It provides an automated quality score based on GitHub activity and package-manager stats, helping users quickly identify high-quality, actively maintained projects without manual research.
Who it is for
- Algorithmic traders and quant developers
- Open-source contributors exploring trading tools
- Students and educators in quantitative finance
- Crypto and traditional market enthusiasts
Use cases
- Discovering production-ready crypto trading bots (e.g., Freqtrade, Hummingbot)
- Comparing exchange API libraries (e.g., CCXT, python-binance)
- Finding technical analysis libraries (e.g., TA-Lib) for backtesting or live trading
- Locating books, YouTube channels, and courses to learn algorithmic trading
Strengths
- Covers 7 distinct categories with 109 projects, offering a comprehensive overview
- Uses an automated quality score that combines GitHub stars, contributors, package downloads, and recent activity
- Clearly indicates stale or dead projects with warning icons (💤, 💀) and license risks (❗️)
- Actively maintained and accepts community contributions via issues and pull requests
Considerations
- Leans heavily toward cryptocurrency-focused projects; traditional finance representation is sparse
- The ranking score is based on public signals, which may not fully capture a project's reliability or suitability for production use
- Some listed projects may be inactive or have restrictive licenses, requiring users to verify individually
README quick start
Best-of Algorithmic Trading
Repository: https://github.com/kazelad/algo-trading-agent.git
🏆 A ranked list of open-source algorithmic trading projects—bots, frameworks, APIs, indicators, books, courses, and communities—kept up to date on a regular schedule.
What you get: 109 curated projects across 7 categories, with roughly 310K combined GitHub stars. Rankings use an automated quality score built from GitHub activity, package-manager stats, and other public signals (see the best-of generator ecosystem for details).
How to use this list: Browse by category below, follow the links to projects you care about, and always verify licenses and activity before depending on something in production.
Want to suggest a project? Open an issue, send a pull request, or edit projects.yaml directly. Contributions are welcome.
Discover more best-of lists or create your own.
Contents
- Bots & Frameworks 23 projects
- Libraries & API 28 projects
- Technical analysis & Indicators 10 projects
- Books 19 projects
- Youtube 10 projects
- Courses 8 projects
- Communities 3 projects
Explanation
- 🥇🥈🥉 Combined project-quality score
- ⭐️ Star count from GitHub
- 🐣 New project (less than 6 months old)
- 💤 Inactive project (6 months no activity)
- 💀 Dead project (12 months no activity)
- 📈📉 Project is trending up or down
- ➕ Project was recently added
- ❗️ Warning (e.g. missing/risky license)
- 👨💻 Contributors count from GitHub
- 🔀 Fork count from GitHub
- 📋 Issue count from GitHub
- ⏱️ Last update timestamp on package manager
- 📥 Download count from package manager
- 📦 Number of dependent projects
- Python projects
- NodeJS projects
- JavaScript proje
Description
algo trade agent - bot, framework, API, indicator, book, course, community
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