Open-source investment research platform for financial analysis agents.
$ npx skills add OpenBB-finance/OpenBBFinance 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.
Published by OpenAgentSkill. Candidates are matched to this guide from available registry metadata. Repository stars describe popularity, not task success or safety. Check each source, license and current review before installing.
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Open-source investment research platform for financial analysis agents.
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$ npx -y skills add himself65/finance-skills --skill earnings-previewHow 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
Look up A-share, Hong Kong, and US stock tickers and retrieve historical OHLCV price data for research.
Create a global market conditions report spanning equities, rates, FX, commodities, risk appetite, and sector rotation.
Rank recent market-moving news and explain likely effects on equities, commodities, monetary policy, and earnings.
Research a US equity across fundamentals, valuation, technical context, peers, and current market data.
Evaluate systematic strategy ideas through signal testing, statistical validation, decay, execution costs, and model-risk review.
Audit concentration, factor exposure, correlation, liquidity, and stress-test risks in an existing portfolio.
Screen equities with systematic value, momentum, quality, volatility, size, and growth factor frameworks.
Measure portfolio returns, risk, drawdowns, benchmarks, rolling metrics, and strategy performance from approved data.
Next guides
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