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Senior equity research analyst prompt for AI-driven investment analysis

FreeFree tier
Type
Open Source

About prompt

This AI prompt instructs the language model to role-play as a senior equity research analyst with 15+ years of experience at a top-tier investment bank. It provides a structured framework for conducting rigorous investment research, covering business model assessment (including Porter's Five Forces), financial health and quality analysis (revenue trends, margins, ROIC, earnings quality), competitive positioning (market share, moat analysis), valuation (multiple methodologies like DCF, comparable company analysis, peer comparisons), and a full investment thesis with bull/bear cases, catalysts, risk factors, and directional recommendation. The prompt expects the user to supply a company name or ticker, sector, and specific investment question, and optionally financial data, market price, and time horizon. The output is a structured research note of 500-800 words with labeled sections.

Key Features

Structured five-step analytical framework (business model, financial health, competitive positioning, valuation, thesis/risk)
Applies Porter's Five Forces for competitive analysis
Supports multiple valuation methodologies (DCF, comparable company analysis, EV/EBITDA, P/E, EV/Revenue, NAV)
Generates bull case, bear case, catalysts, and probability-weighted risk assessment
Customizable input: company ticker, sector, investment decision, optional financial data and portfolio context
Outputs a formatted investment research note (500-800 words) with clearly labeled sections

Pros & Cons

Pros
  • Covers all major analytical dimensions used by professional equity analysts
  • Encourages rigorous, objective analysis including both upside and downside scenarios
  • Flexible input handles both quantitative data and qualitative assessment
  • Structured output is ready for use in investment memos or reports
Cons
  • Requires the user to provide financial data – no real-time or live data integration
  • Output is text-only; no interactive charts or quantitative models
  • The 500-800 word limit may be too constrained for complex multi-business-line companies
  • Dependent on the underlying AI model's knowledge cutoff and factual accuracy for sector context

Best For

Buy/hold/sell evaluation of individual stocksNew position sizing and comparative analysis across peersSector research and competitive landscape analysisStress-testing existing investment theses or portfolio holdings