{{company_asset}}
Company or Asset
Example: Example: Meridian Renewable Infrastructure
Identify the investment being reviewed.
Stress-test an investment thesis by evaluating assumptions, catalysts, valuation, risks, vulnerabilities, disconfirming evidence, and explicit exit conditions.
This prompt has variables that can be replaced with your own information. Copy and use it with your preferred LLM, or try it out in the LearnerBox Prompt Playground.
Act as a senior investment analyst and skeptical investment-committee reviewer.
Stress-test the investment thesis described below.
Company or asset:
{{company_asset}}
Investment thesis:
{{investment_thesis}}
Financial and valuation evidence:
{{financial_valuation_evidence}}
Catalysts:
{{catalysts}}
Risks and counterevidence:
{{risks_counterevidence}}
Positioning, time horizon, and decision context:
{{position_context}}
Analysis requirements:
1. Restate the thesis in one concise, falsifiable sentence.
2. Break the thesis into explicit assumptions.
3. Classify each assumption as:
- verified;
- supported but uncertain;
- speculative;
- contradicted; or
- missing evidence.
4. Evaluate:
- business quality;
- growth;
- margins;
- cash flow;
- balance sheet;
- competitive advantage;
- management;
- governance;
- capital allocation;
- industry structure;
- valuation; and
- expectations.
5. Identify the valuation and earnings assumptions required for the thesis to work.
6. Assess catalysts by:
- probability;
- timing;
- magnitude;
- market awareness;
- dependence;
- reversibility; and
- evidence.
7. Identify risks by:
- probability;
- impact;
- velocity;
- detectability;
- controllability; and
- correlation.
8. Identify vulnerabilities, including:
- leverage;
- liquidity;
- customer concentration;
- supplier concentration;
- regulation;
- technology;
- cyclicality;
- accounting quality;
- management credibility;
- valuation;
- crowded positioning; and
- thesis dependence on terminal value or multiple expansion.
9. Develop bull, base, bear, and thesis-break scenarios.
10. Identify disconfirming evidence and alternative explanations.
11. Define leading indicators and monitoring thresholds.
12. Define explicit thesis-failure and exit conditions.
13. Separate investment quality from current valuation.
14. Identify which assumptions are already priced into the market, if evidence is supplied.
15. Do not invent market prices, forecasts, positioning, catalysts, probabilities, or company facts.
16. Do not present the output as personalized investment advice.
Present the result as:
{{output_format}}
Include:
- one-sentence thesis;
- assumption register;
- business and financial review;
- valuation dependence;
- catalyst matrix;
- risk matrix;
- vulnerability map;
- bull, base, bear, and thesis-break scenarios;
- disconfirming evidence;
- leading indicators;
- thesis-failure conditions;
- unanswered questions; and
- overall thesis robustness assessment.
Replace each variable shown in double curly brackets with accurate information from your own professional context.
{{company_asset}}
Example: Example: Meridian Renewable Infrastructure
Identify the investment being reviewed.
{{investment_thesis}}
Example: State why the asset is expected to outperform, underperform, or preserve capital.
Write the thesis in a way that can be tested and disproved.
{{financial_valuation_evidence}}
Example: Provide historicals, forecasts, valuation, balance sheet, cash flow, peers, and expectations.
Use current, sourced, and internally consistent information.
{{catalysts}}
Example: List potential events, timing, dependencies, evidence, and expected financial effect.
Distinguish genuine catalysts from events already expected by the market.
{{risks_counterevidence}}
Example: Provide bear arguments, contrary data, structural risks, execution risks, and thesis contradictions.
Strong review requires credible disconfirming evidence.
{{position_context}}
Example: Describe time horizon, portfolio role, benchmark, liquidity, position size, and decision required.
This context affects which risks and catalysts matter most.
{{output_format}}
Choose the format appropriate for research, committee challenge, or monitoring.
A rigorous investment-thesis stress test containing assumptions, business quality, valuation dependence, catalysts, risks, vulnerabilities, scenarios, disconfirming evidence, leading indicators, and explicit thesis-break conditions.
These characteristics describe the type of thinking, customization, and output structure involved in using this prompt effectively.
This breakdown explains how the prompt’s major components work together to guide the AI toward a useful, reliable, and well-structured response.
Positions the AI as a skeptical investment analyst and committee reviewer.
Defines the thesis, financial evidence, catalysts, risks, counterevidence, horizon, and decision context.
Requires a structured pre-mortem and stress test of thesis robustness.
Prevents invented market data, forecasts, catalysts, probabilities, positioning, and advice.
Requires assumptions, catalysts, risks, vulnerabilities, scenarios, indicators, and failure conditions.
Company or asset, thesis, financial evidence, catalysts, risks, context, and output format.
AI-generated responses can contain errors, omissions, unsupported assumptions, outdated information, or recommendations that do not reflect your jurisdiction or professional context.
Verify calculations, evidence, regulations, standards, policies, and professional recommendations before relying on the result. The qualified professional remains responsible for the final decision.
Return to the specialization page to explore additional professional workflows and prompt templates.
Customize the template for your professional context or open it directly in the Prompt Playground for guided AI practice.