access-policies
Build the access_policies value — the granular, IAM-shaped way to allow or deny add-in features
Generate a comprehensive equity research snapshot with consensus estimates, fundamentals, and price performance
> /plugin marketplace add anthropics/financial-servicesHow it fires
How this command gets triggered: by you, by Claude, or both.
/research-equityContext preview
What this command does when you run it.
Generate a comprehensive equity research snapshot with consensus estimates, fundamentals, and price performance
description: Generate a comprehensive equity research snapshot with consensus estimates, fundamentals, and price performance argument-hint: "<ticker e.g. AAPL> [period e.g. FY2024-FY2026]"
> This command uses LSEG quantitative analytics, historical pricing, and macroeconomic data tools. See [CONNECTORS.md](../CONNECTORS.md) for available tools.
Generate a comprehensive equity research snapshot combining analyst consensus estimates, historical financials, price performance, and macroeconomic context.
See the **equity-research** skill for domain knowledge on fundamental analysis and estimate interpretation.
Ask the user for:
Call `qa_ibes_consensus` with the ticker for FY1 and FY2 estimates.
Extract: median/mean estimate, analyst count, high/low range, dispersion.
Call `qa_company_fundamentals` for the last 3-5 fiscal years.
Extract: revenue growth, margin trends, leverage, earnings trajectory.
Call `qa_historical_equity_price` for 1Y history.
Compute: YTD return, 1Y return, 52-week range, beta.
Call `tscc_historical_pricing_summaries` with `interval: "P1D"`, `tenor: "3M"`.
Extract: daily OHLCV, volume trends, recent momentum.
Call `qa_macroeconomic` for GDP, CPI, and policy rate in the company's primary market.
Summarize: economic environment as tailwind or headwind for the sector.
Present: consensus estimates table, historical financials summary, valuation metrics (forward P/E = price / consensus EPS), price performance, macro backdrop, and investment thesis summary.
Present as a structured research note. Lead with the investment thesis summary (1-2 sentences), then detail supporting sections with tables.
Reference agents, skills, and data connectors for the financial-services workflows we see most — investment banking, equity research, private equity, and wealth management.
Build the access_policies value — the granular, IAM-shaped way to allow or deny add-in features
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