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@@ -632,7 +632,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [Nova-TradingAgent](https://github.com/rufeng0411/Nova-TradingAgent) - `Python` `A-shares` - Self-hosted 15-agent research desk (debate graph, optional Tushare L2 and Qlib). Does not place trades.
- [QFO Quant Platform](https://www.qfo-quant-platform.com/) - `Python` `React` `A-shares` - Local-first quantitative research and backtesting platform with data synchronization, multi-asset screening, factor analysis, portfolio optimization, risk analysis, and optional LLM-assisted news analysis. [GitHub](https://github.com/yeh2017/QFO-Quant-Platform)
- [dsh-quant](https://github.com/pengpengyi92/dsh-quant) - `TypeScript` `DeepSeek Harness` - Agent-native quantitative research toolkit for DeepSeek Harness: 46 tools across data, alpha, ML, risk, execution and ecosystem domains, with an end-to-end research pipeline.
- [Jupyter Quant](https://github.com/gnzsnz/jupyter-quant) - `Python` - A dockerized Jupyter quant research environment with preloaded tools for quant analysis, statsmodels, pymc, arch, py_vollib, zipline-reloaded, PyPortfolioOpt, etc.
- [Jupyter Quant](https://github.com/quantbelt/jupyter-quant) - `Python` - A dockerized Jupyter quant research environment with preloaded tools for quant analysis, statsmodels, pymc, arch, py_vollib, zipline-reloaded, PyPortfolioOpt, etc.
## Cross-Language Frameworks