Finance shortlist
A real-skill shortlist for Codex users who want market research, stock news analysis, filings review, portfolio checks, and quant workflows with audit and trust signals.
Decision prompt
I need Codex skills to analyze stock news, market data, SEC filings, portfolio risk, and finance research sources.
Recommended shortlist
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
$ npx skills add StockSharp/StockSharpLLM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_analysisFinancial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
$ npx skills add PyPortfolio/PyPortfolioOptTrack stocks, crypto, and derivatives prices and positions in real time from your terminal
$ npx skills add achannarasappa/tickerHow to use this guide
Use a concrete task such as analyze stock news, summarize an earnings release, or compare portfolio risk.
Check license, recent maintenance, README/SKILL.md completeness, dependency risk, and installability.
Ask Codex to show sources, assumptions, data transformations, and a concise risk summary.
Evaluation notes
A useful finance skill should help a coding agent gather evidence, separate facts from interpretation, and make assumptions visible before producing analysis.
Codex can pair finance analysis with reproducible code: scrape source data, clean CSVs, build notebooks, compare tickers, and generate a reviewed summary.
FAQ
No. Treat these as research and workflow automation skills. Human review is required before any financial decision.
Start with a research or data-analysis skill that can cite sources and produce reproducible outputs, then add filing or portfolio-specific skills as needed.
More candidates
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
Hikyuu Quant Framework 基于C++/Python的超高速开源量化交易研究框架，同时可基于策略部件进行资产重用，快速累积策略资产。
stock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。
Qlib 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.
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
A comprehensive collection of ready-to-use scientific and research skills for AI agents.
MyTT将通达信,同花顺,文华麦语言等指标公式,最简移植到Python中,核心库单个文件，仅百行代码,十几个核心函数，神奇的实现所有常见技术指标算法（不依赖talib库）的纯python实现和转换通达信MACD,RSI,BOLL,ATR,KDJ,CCI,PSY等公式,全部基于pandas函数计算方法封装，简洁且高性能，能非常方便的应用在股票指标公式,股市期货量化框架分析,自动程序化交易,数字货币量化等领域,它是您最精练的股市量化工具。Python library with most stock market indicators.
Next guides
Platform shortlist
A focused guide for builders using Codex-style coding agents: repository inspection, issue triage, implementation planning, testing, and browser verification skills.
Use-case shortlist
Find skills for document ingestion, retrieval, embeddings, source-grounded answers, and agent workflows that need reliable private knowledge.
Installation guide
A step-by-step workflow for adding install-ready skills to a Codex-style agent setup while keeping validation, permissions, and rollback in mind.