入门资料整理:1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作,包括LLM, Agent, benchmark(evaluation), etc.
$ npx skills add Barca0412/Introduction-to-Quantitative-FinanceAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
QuantMind is an intelligent knowledge extraction and retrieval framework for quantitative finance.
入门资料整理:1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作,包括LLM, Agent, benchmark(evaluation), etc.
$ npx skills add Barca0412/Introduction-to-Quantitative-FinanceLLM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_analysisPortfolio analytics for quants, written in Python
$ npx skills add ranaroussi/quantstats150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
$ npx skills add shashankvemuri/FinanceBuild your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.
$ npx skills add The-Swarm-Corporation/AutoHedge基于深度强化学习的开源自动因子工厂。
$ npx skills add imbue-bit/AlphaGPTModular reinforcement learning framework for algorithmic trading
$ npx skills add TorchTrade/torchtradeThis is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
$ npx skills add jmfernandes/robin_stocksQlib 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/qlibA beginner-friendly yet powerful Python toolkit for financial analysis and automation — built to make modern investing accessible to everyone
$ npx skills add thinh-vu/vnstockPython wrapper for TA-Lib (http://ta-lib.org/).
$ npx skills add TA-Lib/ta-lib-pythonFinancial data platform for analysts, quants and AI agents.
$ npx skills add OpenBB-finance/OpenBBThe QuantLib C++ library
$ npx skills add lballabio/QuantLibModular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.
$ npx skills add quarkfin/qf-libA package that lets you create TradingView screeners in Python
$ npx skills add shner-elmo/TradingView-Screenerstock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
$ npx skills add myhhub/stockHow 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 Mind 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.