150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
$ npx skills add shashankvemuri/FinanceAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Machine Learning in Asset Management (by @firmai)
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
$ npx skills add shashankvemuri/FinancecuFOLIO is a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling modern investment workflows with NVIDIA cuOpt and CUDA-X Data Science.
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$ npx skills add microsoft/qlibA list of online resources for quantitative modeling, trading, portfolio management
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$ npx skills add UFund-Me/QbotPortfolio analytics for quants, written in Python
$ npx skills add ranaroussi/quantstatsUsing python and scikit-learn to make stock predictions
$ npx skills add robertmartin8/MachineLearningStocksmodular quant framework.
$ npx skills add zvtvz/zvtFinancial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
$ npx skills add PyPortfolio/PyPortfolioOptResources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms, HFTs and Hedge Funds
$ npx skills add cybergeekgyan/Quant-Developers-Resourcesfastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
$ npx skills add enzoampil/fastquant量化研究-券商金工研报复现
$ npx skills add hugo2046/QuantsPlaybookDocker image with IB Gateway/TWS and IBC
$ npx skills add gnzsnz/ib-gateway-dockerRust library for quantitative finance.
$ npx skills add avhz/RustQuantLLM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.
$ npx skills add ZhuLinsen/daily_stock_analysisHow 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 Machine Learning Asset Management if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.