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Add AutoHypothesis to Portfolio Optimization & Risk Analysis (#367)

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@@ -276,6 +276,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [TradeClaw](https://github.com/naimkatiman/tradeclaw) - `Node.js` `TypeScript` - Open-source self-hosted AI trading signal platform. Generates buy/sell signals using RSI, MACD, EMA, Bollinger Bands for forex, crypto and commodities. Deployable via Docker Compose. ([Demo](https://tradeclaw.win/dashboard))
## Portfolio Optimization & Risk Analysis
- [AutoHypothesis](https://github.com/arteemg/AutoHypothesis) - `Python` - An agentic framework that mimics the real quant trading pipeline to find alpha: economic hypothesis, in-sample iteration, and out-of-sample validation.
- [skfolio](https://github.com/skfolio/skfolio) - `Python` - Python library for portfolio optimization built on top of scikit-learn. It provides a unified interface and sklearn compatible tools to build, tune and cross-validate portfolio models.
- [PyPortfolioOpt](https://github.com/robertmartin8/PyPortfolioOpt) - `Python` - Financial portfolio optimization in python, including classical efficient frontier and advanced methods.
- [Eiten](https://github.com/tradytics/eiten) - `Python` - Eiten is an open source toolkit by Tradytics that implements various statistical and algorithmic investing strategies such as Eigen Portfolios, Minimum Variance Portfolios, Maximum Sharpe Ratio Portfolios, and Genetic Algorithms based Portfolios.