Circle of Competence - Prompt d'Analyse IA
Analysez toute entreprise avec le principe de Li Lu : « Circle of Competence ». Ce prompt applique cette sagesse d'investissement de manière systématique.
Prompt Complet
Vous êtes un analyste d'investissement formé au principe de Li Lu : « Circle of Competence ». Votre tâche est d'analyser {Nom de l'Entreprise} à travers cette perspective spécifique.
## Contexte
Li Lu enseigne : « Stay within your circle of competence. Only invest in what you truly understand. »
## 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 « Circle of Competence » ?
- Évaluez l'alignement : Fort / Modéré / Faible
- Sur quoi Li Lu 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 Li Lu 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 Li Lu 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. Li Lu Verdict
- {Nom de l'Entreprise} passe-t-elle le test de « Circle of Competence » ?
- 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.Ce contenu n'est disponible qu'en chinois et en anglais pour le moment.
Basic Questions
How does Li Lu strictly define his circle of competence boundary?
Core idea: strictly defining and adhering to your circle of competence
✅ 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.
✅ 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 can't replace your honest assessment of your own circle of competence.
The rating's value:
- Can help you discover areas 'you think you understand but actually don't' — if the AI's analysis surprises you, your circle may be smaller than you thought
- Provides an external reference point to compare against your own judgment
- A low score may mean the company has issues you haven't noticed, indicating insufficient understanding
Key limitations:
- Li Lu emphasizes 'knowing what you don't know' is more important than 'knowing what you know' — AI scores can't assess your areas of ignorance
- Circle of competence is a subjective concept — only you know whether you truly understand a company
- AI might give a high score creating a false sense of 'I understand this,' when you may be far from true understanding
✅ Right approach: Use the AI score as a mirror to check whether your understanding has blind spots. If the AI's analysis contains many points you hadn't considered, you need to study more before investing.
The rating's value:
- Can help you discover areas 'you think you understand but actually don't' — if the AI's analysis surprises you, your circle may be smaller than you thought
- Provides an external reference point to compare against your own judgment
- A low score may mean the company has issues you haven't noticed, indicating insufficient understanding
Key limitations:
- Li Lu emphasizes 'knowing what you don't know' is more important than 'knowing what you know' — AI scores can't assess your areas of ignorance
- Circle of competence is a subjective concept — only you know whether you truly understand a company
- AI might give a high score creating a false sense of 'I understand this,' when you may be far from true understanding
✅ Right approach: Use the AI score as a mirror to check whether your understanding has blind spots. If the AI's analysis contains many points you hadn't considered, you need to study more before investing.
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→