Defense First - Prompt d'Analyse IA
Use this Paul Tudor Jones rule prompt to apply “Defense First” 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 Paul Tudor Jones : « Defense First ». Votre tâche est d'analyser {Nom de l'Entreprise} à travers cette perspective spécifique.
## Contexte
Paul Tudor Jones enseigne : « Dont focus on making money; focus on protecting what you have. Playing great defense means youll be around to play offense. »
## 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 « Defense First » ?
- Évaluez l'alignement : Fort / Modéré / Faible
- Sur quoi Paul Tudor Jones 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 Paul Tudor Jones 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 Paul Tudor Jones 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. Tudor Jones Verdict
- {Nom de l'Entreprise} passe-t-elle le test de « Defense First » ?
- 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.
- Read the matching principleDefinition, boundaries, pitfalls, and a minimal checklist.
- Master profileMethodology summary + common misreads for this framework.
- Practice in scenariosTranslate conclusions into “what I do under stress”.
- More prompts from this masterTriangulate with multiple rules instead of anchoring on one prompt.
Educational only. Verify facts with primary sources and apply your own constraints.
Ce contenu n'est disponible qu'en chinois et en anglais pour le moment.
Basic Questions
How to execute the 'defense first' trading philosophy in practice?
Core idea: defense first — controlling losses is more important than chasing profits
✅ 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 downside risk assessment reliable?
⚠️ AI risk assessment is a useful starting point but cannot replace strict risk management discipline.
Value:
- Systematically identifies overlooked risk factors (liquidity risk, correlation risk)
- Quantifies potential losses under different stop-loss strategies
- Builds a clear "worst-case scenario" framework
Limitations:
- Cannot predict sudden events (flash crashes, policy shocks)
- Historical backtesting doesn't guarantee future performance
- Jones's "intuition" and "market feel" cannot be replicated by AI
✅ Best approach: Use AI risk analysis as a "checklist" for your defense system, but set stop-loss discipline in advance and execute strictly.
Value:
- Systematically identifies overlooked risk factors (liquidity risk, correlation risk)
- Quantifies potential losses under different stop-loss strategies
- Builds a clear "worst-case scenario" framework
Limitations:
- Cannot predict sudden events (flash crashes, policy shocks)
- Historical backtesting doesn't guarantee future performance
- Jones's "intuition" and "market feel" cannot be replicated by AI
✅ Best approach: Use AI risk analysis as a "checklist" for your defense system, but set stop-loss discipline in advance and execute strictly.
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 “Defense First”, do not act. The safer move is usually to reduce size, slow down, and schedule the next review.
Plus de Prompts de Règles
Explorez d'autres principes d'investissement de ce maître.
Control Your Emotions
Every day I assume every position I have is wrong. This removes the ego from trading. Never fall in love with a position.
→Timing Matters
Being right about direction is not enough; you must be right about timing. A great idea at the wrong time is a losing trade.
→Price Action is Truth
At the end of the day, the market tells you whether youre right or wrong. Listen to price action, not your thesis.
→Asymmetric Bets
Look for trades where the upside is many times the downside. 5:1 reward-to-risk ratios mean you can be wrong most of the time and still profit.
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