/research-equity

Research Equity

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.

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.