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From lseg
Generates equity research snapshot for a ticker with consensus estimates, historical fundamentals, price performance, and macro context.
How this command is triggered — by the user, by Claude, or both
Slash command
/lseg:research-equity <ticker e.g. AAPL> [period e.g. FY2024-FY2026]The summary Claude sees in its command listing — used to decide when to auto-load this command
# 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 interes...
This command uses LSEG quantitative analytics, historical pricing, and macroeconomic data tools. See 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.
npx claudepluginhub yuping322/financial-services-plugins-new --plugin lseg/research-equityGenerates equity research snapshot for a ticker with consensus estimates, historical fundamentals, price performance, and macro context.
/earnings-previewBuilds a pre-earnings analysis for a company ticker with consensus estimates, key metrics to watch, and bull/base/bear scenarios.
/compsBuilds comparable company analysis with operating metrics, valuation multiples, peer benchmarks, and statistical summaries for a given company or ticker. Produces Excel file and insights summary.
/analyzeAnalyzes a stock ticker's fundamentals, key metrics, news, price action, institutional holders, and synthesizes actionable insights including valuation, risks, catalysts, and recommendation.
/earningsAnalyzes latest quarterly earnings for a stock code: detects revenue/net income beats/misses vs consensus, shows YoY growth, and assesses investment logic impact.