Skill 詳細
research-equity-workflow
Direct equity research snapshot workflow using consensus, fundamentals, pricing, and macro data.
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SKILL.md
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--- name: "research-equity-workflow" description: "Generate a comprehensive equity research snapshot with consensus estimates, fundamentals, and price performance" --- <!-- Converted from an upstream slash-command workflow. --> # Research Equity > 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. ## Workflow ### 1. Gather Input Ask the user for: - Ticker symbol (required) — IBES ticker format (e.g., AAPL, MSFT, VOD) - Forward period of interest (optional, default: next 2 fiscal years) - Any specific focus areas (e.g., earnings, revenue, dividends) ### 2. Gather Consensus Estimates Call `qa_ibes_consensus` with the ticker for FY1 and FY2 estimates. - Measures: EPS, Revenue, EBITDA, DPS - Period type: "A" (annual) Extract: median/mean estimate, analyst count, high/low range, dispersion. ### 3. Pull Historical Fundamentals Call `qa_company_fundamentals` for the last 3-5 fiscal years. Extract: revenue growth, margin trends, leverage, earnings trajectory. ### 4. Assess Price Performance Call `qa_historical_equity_price` for 1Y history. Compute: YTD return, 1Y return, 52-week range, beta. ### 5. Recent Price Action Detail Call `tscc_historical_pricing_summaries` with `interval: "P1D"`, `tenor: "3M"`. Extract: daily OHLCV, volume trends, recent momentum. ### 6. Macro Context 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. ### 7. Synthesize the Report Present: consensus estimates table, historical financials summary, valuation metrics (forward P/E = price / consensus EPS), price performance, macro backdrop, and investment thesis summary. ## Output Format Present as a structured research note. Lead with the investment thesis summary (1-2 sentences), then detail supporting sections with tables.GitHub で全文を読む (外部ページ)