[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
$ npx skills add UFund-Me/QbotAlternatives
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Quantitative Interview Preparation Guide, updated version here ==>
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
$ npx skills add UFund-Me/QbotQlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
$ npx skills add microsoft/qlibThe backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
$ npx skills add polakowo/vectorbtCode for Machine Learning for Algorithmic Trading, 2nd edition.
$ npx skills add stefan-jansen/machine-learning-for-trading150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
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$ npx skills add PyPortfolio/PyPortfolioOpt基于深度强化学习的开源自动因子工厂。
$ npx skills add imbue-bit/AlphaGPTQuantitative analysis, strategies and backtests
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$ npx skills add enzoampil/fastquant量化研究-券商金工研报复现
$ npx skills add hugo2046/QuantsPlaybookLLM驱动的 A/H/美股智能分析:多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送,零成本定时运行,纯白嫖. LLM-powered stock analysis system for A/H/US markets.
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$ npx skills add myhhub/stockCollection of notebooks about quantitative finance, with interactive python code.
$ npx skills add cantaro86/Financial-Models-Numerical-MethodsHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Quant Notes if it already passes your workflow test and repository review.
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Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.