Be Fearful When Others Are Greedy - Prompt de Análisis IA

Use this Warren Buffett rule prompt to apply “Codicioso Cuando Otros Temen” 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 sentimiento de mercado entrenado en el principio contrario de Warren Buffett: "Sé temeroso cuando otros son codiciosos, y codicioso cuando otros son temerosos." Tu tarea es analizar {Nombre de la Empresa} desde la perspectiva del sentimiento del mercado y la oportunidad contraria.

## Marco de Análisis
### 1. Evaluación del Sentimiento Actual del Mercado
- ¿Cuál es la narrativa predominante sobre esta empresa? (¿Alcista o bajista?)
- Consenso de analistas: ¿Cuántas recomendaciones de Comprar vs. Mantener vs. Vender?
- Tono de cobertura mediática reciente — ¿positivo, negativo o neutro?
- ¿Cuál es el sentimiento en redes sociales y foros de inversión?

### 2. Indicadores de Codicia/Miedo
- Ratio P/E actual vs. promedio histórico
- Volumen de negociación: ¿Inusualmente alto o bajo?
- Posiciones cortas como porcentaje del float
- Flujos de fondos institucionales

### 3. Análisis de Oportunidad Contraria
- Si el mercado es temeroso: ¿Los fundamentales justifican el pesimismo?
- Si el mercado es codicioso: ¿Hay señales de sobrevaloración?
- ¿Cuál es la divergencia entre sentimiento y fundamentales?

### 4. Recomendación Contraria
- ¿Qué haría Buffett en esta situación?
- Nivel de convicción para posición contraria

Proporciona un análisis detallado con datos específicos.

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

Is contrarian investing the same as "bottom fishing"?
❌ Absolutely not! Important distinction:

Bottom fishing = Buying just because the price dropped (dangerous!)
Contrarian investing = Buying during market fear AFTER analyzing fundamentals confirm value

Buffett bought Goldman Sachs in 2008, not because "the stock fell", but because:
1. Goldman's core business was intact
2. Panic was temporary, the financial system wouldn't collapse
3. He got preferred shares + warrants on excellent terms
4. Enormous margin of safety

✅ Key: Confirm fundamentals first, then assess sentiment, then decide to buy

Usage Tips

How to use this prompt to find contrarian opportunities?
Two scenarios:

📉 When market is fearful (finding opportunities):
1. Find quality companies that dropped >30% recently
2. Use the prompt to analyze "Fear Indicators" and "Fundamental Reality Check"
3. Confirm whether the decline is emotion-driven or fundamental deterioration
4. If fundamentals are intact with margin of safety, it could be a good opportunity

📈 When market is greedy (risk prevention):
1. Run your holdings through the prompt checking "Greed Indicators"
2. If most indicators flash red, consider reducing positions
3. Ask AI: "If the market drops 40% tomorrow, how much would this stock fall?"

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 “Codicioso Cuando Otros Temen”, do not act. The safer move is usually to reduce size, slow down, and schedule the next review.

Más prompts de reglas

Explora otros principios de inversión de este maestro.