Patient Opportunism - Prompt de Análisis IA

Use this Howard Marks rule prompt to apply “Oportunismo Paciente” 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 Howard Marks: "Patient Opportunism". Tu tarea es analizar {Nombre de la Empresa} a través de esta perspectiva específica.

## Contexto
Howard Marks enseña: "The key to investment success is waiting for the fat pitch - the opportunity that offers exceptional value with limited risk."

## 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 "Patient Opportunism"?
- Califica la alineación: Fuerte / Moderada / Débil
- ¿En qué se enfocaría Howard Marks 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 Howard Marks 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 Howard Marks?
- 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. Marks Verdict
- ¿{Nombre de la Empresa} pasa la prueba de "Patient Opportunism"?
- 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

What does 'patient opportunism' mean and how to avoid anxiety while waiting?
Marks uses this concept to separate great investors from average ones:

🎯 Patient opportunism means:
1. Don't settle for mediocre opportunities — prefer holding cash
2. Act decisively when excellent opportunities appear
3. Most time is spent waiting — good opportunities aren't daily

💡 Combating waiting anxiety:
- Understand that 'not investing' is also an investment decision
- Only 2-3 truly great opportunities may appear per year
- Study and research during waiting periods, rather than sitting idle

Usage Tips

Is the AI's 1-10 rating reliable?
⚠️ The "opportunity score" must be understood with the time dimension — don't evaluate it in isolation from the cost of waiting.

The rating's special meaning:
- A high score means "now is a good time to act," but this doesn't mean you must act now — patience itself is a strategy
- A low score doesn't mean a bad company, but rather "the current price doesn't offer sufficient margin of safety"
- The most valuable insight is how the score trends over time — a gradual decline from high scores may signal the opportunity window is closing

Core reminder:
- Marks emphasizes "don't swing when there's no good pitch" — holding cash patiently during low-score periods is the right strategy
- AI cannot predict when the next "good pitch" will come, but it can help you judge whether the current pitch is worth swinging at

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 “Oportunismo Paciente”, do not act. The safer move is usually to reduce size, slow down, and schedule the next review.

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