Three Reasons to Sell - Prompt d'Analyse IA

Use this Philip Fisher rule prompt to apply “Trois Raisons de Vendre” 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 Philip Fisher : « Three Reasons to Sell ». Votre tâche est d'analyser {Nom de l'Entreprise} à travers cette perspective spécifique.

## Contexte
Philip Fisher enseigne : « Sell only when: 1) You made a mistake in original analysis, 2) The company no longer meets the fifteen points, or 3) A clearly better opportunity exists. »

## 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 « Three Reasons to Sell » ?
- Évaluez l'alignement : Fort / Modéré / Faible
- Sur quoi Philip Fisher 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 Philip Fisher 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 Philip Fisher 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. Fisher Verdict
- {Nom de l'Entreprise} passe-t-elle le test de « Three Reasons to Sell » ?
- 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

When does Fisher think you should sell a stock?
Fisher's selling criteria are very strict — he believed frequent selling means wrong buying:

🔴 Fisher's three reasons to sell:
1. Original judgment was wrong: Deeper research reveals the company isn't as good as thought
2. Company no longer qualifies: Management deterioration, competitive advantage lost, market saturated
3. Found clearly better opportunity: But this should be extremely rare

🟢 Should NOT sell:
- Just because stock dropped short-term
- Just because overall market declined
- Just because it's up a lot and you want to 'lock in profits'

Fisher held Motorola and similar companies for over 20 years.

Usage Tips

Is the AI's 1-10 rating reliable?
⚠️ Sell assessment isn't a simple yes/no — it's an ongoing dynamic judgment.

The rating's unique value:
- Fisher would sell only in three situations: the original buy thesis was wrong, the company no longer meets standards, or a clearly better opportunity is found
- The score helps distinguish "genuine sell signals" from "short-term noise" — price drops aren't sell reasons; fundamental deterioration is
- Most valuable is comparing the current state against your original buy reasons one by one — if core reasons still hold, don't sell

Core reminders:
- Fisher believed the biggest selling mistake is "selling excellent companies too early" — far more common and fatal than selling too late
- AI may over-recommend selling due to short-term negative news; apply your long-term perspective as correction
- Don't sell just because you've made a lot — "I've profited enough" is not a sell reason Fisher would endorse

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 “Trois Raisons de Vendre”, do not act. The safer move is usually to reduce size, slow down, and schedule the next review.

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