Insist on Margin of Safety - Prompt d'Analyse IA

Use this Duan Yongping rule prompt to apply “Insister sur la Marge de Sécurité” to a specific company. It turns a vague opinion into a repeatable checklist: what facts you must verify, which assumptions matter most, what would invalidate the thesis, and the common misreads that create false certainty. Expect a written output you can save: a thesis summary, key risks, and next-step questions for filings and earnings calls. If a claim matters, require primary-source citations before you act. Educational only — not investment advice.

Prompt Complet

Vous êtes un analyste d'investissement formé au principe de Duan Yongping : « Insist on Margin of Safety ». Votre tâche est d'analyser {Nom de l'Entreprise} à travers cette perspective spécifique.

## Contexte
Duan Yongping enseigne : « Never pay more than a business is worth. Wait for prices that provide a significant margin of safety. Being patient for the right price is more important than finding great businesses. »

## Cadre d'Analyse

### 1. Évaluation de l'Application du Principe
- Comment ce principe s'applique-t-il spécifiquement à {Nom de l'Entreprise} ?
- Quels aspects de l'entreprise sont les plus pertinents pour « Insist on Margin of Safety » ?
- Évaluez l'alignement : Fort / Modéré / Faible
- Sur quoi Duan Yongping se concentrerait-il en premier ?

### 2. Preuves Quantitatives
- Identifiez 3-5 métriques financières clés pertinentes
- Analysez ces métriques sur les 5-10 dernières années
- Comparez avec les pairs et les benchmarks historiques
- Les chiffres s'améliorent-ils, sont-ils stables ou se détériorent-ils ?

### 3. Analyse Qualitative
- Évaluez les facteurs non quantifiables que Duan Yongping examinerait
- Qualité de la gestion et alignement avec ce principe
- Dynamique de l'industrie et position concurrentielle
- Durabilité du modèle d'affaires selon cette perspective

### 4. Évaluation des Risques
- Quels risques ce principe met-il en évidence pour {Nom de l'Entreprise} ?
- Quels signaux d'alarme Duan Yongping identifierait-il ?
- Test de résistance : comment l'entreprise performerait-elle en conditions adverses ?
- Quel est le pire scénario selon cette perspective ?

### 5. Identification des Opportunités
- Quelles opportunités cette analyse révèle-t-elle ?
- Y a-t-il des forces cachées sous-évaluées par le marché ?
- Quels catalyseurs pourraient libérer de la valeur ?

### 6. Duan Verdict
- {Nom de l'Entreprise} passe-t-elle le test de « Insist on Margin of Safety » ?
- Note : 1-10
- Recommandation claire : Acheter / Conserver / Éviter
- Résumé en un paragraphe

## Format de Sortie
Présentez des données spécifiques dans chaque section. Terminez par un verdict décisif.

Related reading (close the loop)

Pick one path below to turn the output into a checkable, repeatable decision policy.

Educational only. Verify facts with primary sources and apply your own constraints.

ℹ️Ce contenu n'est disponible qu'en chinois et en anglais pour le moment.

Basic Questions

How does Duan Yongping practice margin of safety in China's market?
Core idea: only buy when price is far below value — leave room for error

✅ Using this AI prompt, you can systematically analyze any company or investment opportunity from this principle's perspective.

The prompt guides you to:
1. Assess whether the investment target meets this principle's core requirements
2. Identify key risks and blind spots
3. Provide a 1-10 comprehensive rating

Start by analyzing companies you know well for practice, then apply the framework to new investment decisions.

Usage Tips

Is the AI's 1-10 rating reliable?
⚠️ The rating is not equivalent to a margin of safety assessment.

The rating's value:
- Can initially assess company quality, but margin of safety is a 'price vs. value' question, not just quality
- A perfect 10-point quality company with an overpriced stock has no margin of safety
- The score combined with valuation data determines whether safety margin exists

Key limitations:
- Duan emphasizes 'a good company doesn't equal a good investment' — a high score means the company is good, not that the price is right
- AI can't accurately estimate intrinsic value, so it can't truly judge margin of safety magnitude
- Margin of safety requires conservative future cash flow estimates, but AI may default to consensus expectations (not conservative enough)

✅ Right approach: Combine the AI's quality score with your own valuation analysis. Good company (high score) + Good price (30%+ below conservative valuation) = a truly margin-of-safety investment.

Getting started

Does this prompt give investment advice or buy/sell calls?
No. It is a research helper that turns your thinking into checkable inputs and constraints: what evidence you must verify, what would prove the thesis wrong, and what common misreads to avoid. Treat the output as a draft, not a signal. Validate every material number against primary sources (filings, earnings releases, investor presentations, transcripts), and do not act unless you can write down (1) position-size limits and (2) explicit invalidation triggers.
What inputs should I provide for a reliable result?
At minimum: a 1-sentence business model summary, your current thesis (why it wins/loses), time horizon, and risk constraints; a valuation/price range; and the latest financial statements (profit quality, cash flow, debt/liquidity). Add context that reduces hallucinations: the exact filing period, known one-offs, key competitors, and what you do NOT know yet. If an input is missing, label it as missing evidence instead of letting the model guess.

Validation and boundaries

How do I validate the output?
Validate falsifiable claims one by one. Rewrite each key statement into something you can check: the metric, the period, and the source. Numbers must match filings; management claims must be traceable to transcripts/guidance; and “moat” claims need observable evidence (pricing power, retention, switching costs, cost structure). Anything you cannot verify becomes a follow-up task, not a decision trigger. If the model cites dates, confirm they are not beyond its knowledge cutoff.
When should I NOT act on the output?
If you cannot write down invalidation triggers, a position-size cap, or primary-source evidence for the key claims behind “Insister sur la Marge de Sécurité”, do not act. The safer move is usually to reduce size, slow down, and schedule the next review.

Plus de Prompts de Règles

Explorez d'autres principes d'investissement de ce maître.