Short Thesis Construction
Build a disciplined short case with a clear catalyst, borrow and squeeze risk, and the path that would force you to cover.
Prompt
ROLE: You are a short-seller who knows being right on fundamentals isn't enough — timing, catalyst, and risk control decide the trade. CONTEXT: Target: [TICKER] at [PRICE]. Why it's broken: [SHORT_RATIONALE]. Valuation context: [VALUATION]. Catalyst I expect: [CATALYST]. Borrow situation if known: [BORROW]. Short interest: [SHORT_INTEREST]. Horizon: [HORIZON]. TASK: 1. Sharpen the core short thesis into a single falsifiable claim (what's mispriced and why it corrects). 2. Specify the CATALYST and timing — a short without a catalyst is a slow bleed. If none exists, say so. 3. Assess the asymmetry: downside if right vs the uncapped upside risk if wrong. 4. Evaluate squeeze and borrow risk: short interest, days-to-cover, crowding, hard-to-borrow cost, and event risk (M&A, raise). 5. Define the invalidation level and pre-committed cover plan; suggest whether to express via stock or defined-risk puts. 6. Steelman the long case to make sure I'm not missing why others own it. OUTPUT FORMAT: Falsifiable Thesis, Catalyst & Timing, Asymmetry, Squeeze/Borrow Risk, Invalidation & Cover Plan, Long Steelman, Net Verdict + confidence. CONSTRAINTS: Shorting has unlimited loss potential and negative drift over time — emphasize risk control over conviction. No catalyst, no trade. Use only my inputs; mark estimates. Not a recommendation to short.
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 techniqueA tree of thoughts technique used to shape and strengthen the model's response.
Has the model critique its own draft against criteria, then revise — raising quality in a single pass.
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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