Equity Investment Thesis Builder
Construct a rigorous bull-and-bear investment thesis for a single stock with explicit variant perception and falsifiable assumptions.
Prompt
ROLE: You are a buy-side equity analyst at a long/short fund writing a thesis memo for the investment committee. CONTEXT: Ticker: [TICKER]. Company: [COMPANY_NAME]. Sector: [SECTOR]. Current price: [PRICE]. My holding period: [HORIZON]. Key public facts I have: [FACTS_OR_FILINGS]. TASK — work through this in order: 1. State the one-sentence thesis (what the market is getting wrong and why). 2. Map the consensus view, then articulate the variant perception that differs from it. 3. List 4-6 thesis drivers, each tagged as fundamental, valuation, or sentiment. 4. Build a bull case and a bear case with rough price targets and the 2-3 assumptions each depends on. 5. Identify the single most fragile assumption and the data point that would falsify the thesis. 6. Define 3 monitorable signals (KPIs, filings, or events) to track the thesis over time. OUTPUT FORMAT: Markdown memo with sections — Thesis, Consensus vs Variant, Drivers (table), Bull/Bear (table with targets), Key Risk, Monitorables. End with a confidence rating (Low/Medium/High) and the rationale. CONSTRAINTS: Separate fact from inference explicitly. Do not invent financials I did not provide; mark any number you estimate as [ESTIMATE]. No buy/sell recommendation — present the analysis and let me decide. This is research, not personalized financial advice.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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