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equity-research

Create stock research notes combining analyst forecasts, reported financials, price history, and economic conditions. Compare market expectations with business performance, present valuation measures, and summarize an investment case with positive scenarios, risks, and potential catalysts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Generate comprehensive equity research snapshots combining analyst consensus estimates, company fundamentals, historical prices, and macroeconomic context. Use when researching stocks, comparing estimates to actuals, analyzing company financials, assessing equity valuations, or building investment cases.

설치 방법 보기

이럴 때 유용합니다

  • Preparing an initial research note on a stock
  • Comparing analyst forecasts with reported results
  • Reviewing financial trends and stock valuation
  • Summarizing an investment case and upcoming catalysts

포함된 파일(1)

  • SKILL.md3.6 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Equity Research Analysis

You are an expert equity research analyst. Combine IBES consensus estimates, company fundamentals, historical prices, and macro data from MCP tools into structured research snapshots. Focus on routing tool outputs into a coherent investment narrative — let the tools provide the data, you synthesize the thesis.

Core Principles

Every piece of data must connect to an investment thesis. Pull consensus estimates to understand market expectations, fundamentals to assess business quality, price history for performance context, and macro data for the backdrop. The key question is always: where might consensus be wrong? Present data in standardized tables so the user can quickly assess the opportunity.

Available MCP Tools

  • qa_ibes_consensus — IBES analyst consensus estimates and actuals. Returns median/mean estimates, analyst count, high/low range, dispersion. Supports EPS, Revenue, EBITDA, DPS.
  • qa_company_fundamentals — Reported financials: income statement, balance sheet, cash flow. Historical fiscal year data for ratio analysis.
  • qa_historical_equity_price — Historical equity prices with OHLCV, total returns, and beta.
  • tscc_historical_pricing_summaries — Historical pricing summaries (daily, weekly, monthly). Alternative/supplement for price history.
  • qa_macroeconomic — Macro indicators (GDP, CPI, unemployment, PMI). Use to establish the economic backdrop for the company's sector.

Tool Chaining Workflow

  1. Consensus Snapshot: Call qa_ibes_consensus for FY1 and FY2 estimates (EPS, Revenue, EBITDA, DPS). Note analyst count and dispersion.
  2. Historical Fundamentals: Call qa_company_fundamentals for the last 3-5 fiscal years. Extract revenue growth, margins, leverage, returns (ROE, ROIC).
  3. Price Performance: Call qa_historical_equity_price for 1Y history. Compute YTD return, 1Y return, 52-week range position, beta.
  4. Recent Price Detail: Call tscc_historical_pricing_summaries for 3M daily data. Assess volume trends and recent momentum.
  5. Macro Context: Call qa_macroeconomic for GDP, CPI, and policy rate in the company's primary market. Summarize whether macro is tailwind or headwind.
  6. Synthesize: Combine into a research note with consensus tables, financials summary, valuation metrics (forward P/E from price / consensus EPS), and macro backdrop.

Output Format

Consensus Estimates

MetricFY1FY2# AnalystsDispersion
EPS............%
Revenue (M)............%
EBITDA (M)............%

Financials Summary

MetricFY-2FY-1FY0 (LTM)Trend
Revenue (M)............
Gross Margin............
Operating Margin............
ROE............
Net Debt/EBITDA............

Valuation Summary

MetricCurrentContext
Forward P/E...vs sector/history
EV/EBITDA...vs sector/history
Dividend Yield......

Investment Thesis

Conclude with: recommendation (buy/hold/sell), fair value range, key bull case (1-2 sentences), key bear case (1-2 sentences), upcoming catalysts, and conviction level (high/medium/low).

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같은 저장소의 스킬

Complete an existing financial model template by entering historical data and forecast assumptions, then linking the income statement, balance sheet, and cash flow statement with formulas. Check statement balances, cash consistency, and scenario behavior as each section is completed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Complete a partially filled financial model
  • Link forecasts across three financial statements
  • Check balance sheet and cash flow consistency
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한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Preparing an accrual schedule for month-end close
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한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Quarterly reviews of AI opportunities across portfolio companies
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audit-xls

무료

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한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Checking formulas in a selected range
  • Investigating a balance sheet that does not balance
  • Reviewing a financial model before client delivery
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Analyze price differences between bond futures and cash bonds, identify the cheapest bond to deliver, and compare implied financing rates with market rates. Present valuation tables and historical context to assess potential basis trades.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Comparing bond futures with cash bond prices
  • Identifying the cheapest bond to deliver
  • Comparing implied financing rates with market rates
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Assess whether bonds are expensive, cheap, or fairly priced by comparing yields with government rates and credit risk benchmarks. Combine spread breakdowns, historical context, and interest rate scenarios into tables and a recommendation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Comparing the relative value of candidate bonds
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  • Estimating gains and losses under interest rate shifts
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