Update README.md and index.qmd with new resources for portfolio optimization and convex research

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Wilson Freitas
2026-03-21 12:43:14 -03:00
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- [RoughVolatilityWorkshop](https://github.com/jgatheral/RoughVolatilityWorkshop) - 2024 QuantMind's Rough Volatility Workshop lectures.
- [AFML](https://github.com/boyboi86/AFML) - All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.
- [AlgoTradingLib](https://github.com/usdaud/algotradinglib.github.io) - A catalog of algorithmic trading libraries, frameworks, strategies, and educational materials.
Add Prop Trader Compass to Risk Management tools
- [Portfolio Optimization Book](https://portfoliooptimizationbook.com/) - Prof. Daniel Palomar's Portfolio Optimization Book
## Related Lists
- [awesome-sec-filings](https://github.com/vibeyclaw/awesome-sec-filings) - A curated list of tools, data sources, libraries, and resources for working with SEC filings (13F, 10-K, 10-Q, 8-K).
- [CONVEXFI](https://github.com/convexfi) - Official GitHub organization for the convex research group at the Hong Kong University of Science and Technology (HKUST).
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- [RoughVolatilityWorkshop](https://github.com/jgatheral/RoughVolatilityWorkshop) - 2024 QuantMind's Rough Volatility Workshop lectures.
- [AFML](https://github.com/boyboi86/AFML) - All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.
- [AlgoTradingLib](https://github.com/usdaud/algotradinglib.github.io) - A catalog of algorithmic trading libraries, frameworks, strategies, and educational materials.
Add Prop Trader Compass to Risk Management tools
- [Portfolio Optimization Book](https://portfoliooptimizationbook.com/) - Prof. Daniel Palomar's Portfolio Optimization Book
## Related Lists
- [awesome-sec-filings](https://github.com/vibeyclaw/awesome-sec-filings) - A curated list of tools, data sources, libraries, and resources for working with SEC filings (13F, 10-K, 10-Q, 8-K).
- [CONVEXFI](https://github.com/convexfi) - Official GitHub organization for the convex research group at the Hong Kong University of Science and Technology (HKUST).