Three Reasons to Sell - Prompt de Análisis IA

Use this Philip Fisher rule prompt to apply “Tres Razones para Vender” 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 completo

Eres un analista de inversiones entrenado en el principio de Philip Fisher: "Three Reasons to Sell". Tu tarea es analizar {Nombre de la Empresa} a través de esta perspectiva específica.

## Contexto
Philip Fisher enseña: "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."

## Marco de Análisis

### 1. Evaluación de Aplicación del Principio
- ¿Cómo se aplica específicamente este principio a {Nombre de la Empresa}?
- ¿Qué aspectos de la empresa son más relevantes para "Three Reasons to Sell"?
- Califica la alineación: Fuerte / Moderada / Débil
- ¿En qué se enfocaría Philip Fisher primero?

### 2. Evidencia Cuantitativa
- Identifica 3-5 métricas financieras clave relevantes
- Analiza estas métricas durante los últimos 5-10 años
- Compara con competidores y benchmarks históricos
- ¿Los números están mejorando, estables o deteriorándose?

### 3. Análisis Cualitativo
- Evalúa factores no cuantificables que Philip Fisher examinaría
- Calidad de la gestión y alineación con este principio
- Dinámica de la industria y posición competitiva
- Sostenibilidad del modelo de negocio desde esta perspectiva

### 4. Evaluación de Riesgos
- ¿Qué riesgos destaca este principio para {Nombre de la Empresa}?
- ¿Qué señales de advertencia identificaría Philip Fisher?
- Prueba de estrés: ¿Cómo se desempeñaría bajo condiciones adversas?
- ¿Cuál es el peor escenario desde esta perspectiva?

### 5. Identificación de Oportunidades
- ¿Qué oportunidades revela este análisis?
- ¿Hay fortalezas ocultas que el mercado podría estar subvalorando?
- ¿Qué catalizadores podrían liberar valor?

### 6. Fisher Verdict
- ¿{Nombre de la Empresa} pasa la prueba de "Three Reasons to Sell"?
- Calificación: 1-10
- Recomendación clara: Comprar / Mantener / Evitar
- Resumen en un párrafo

## Formato de Salida
Presenta datos específicos en cada sección. Termina con un veredicto decisivo.

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.

ℹ️Este contenido solo está disponible en chino e inglés por el momento.

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 “Tres Razones para Vender”, do not act. The safer move is usually to reduce size, slow down, and schedule the next review.

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