Stay Curious - موجّه تحليل بالذكاء الاصطناعي
Use this Charlie Munger rule prompt to apply “ابق فضولياً” 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.
الموجّه الكامل
أنت محلل استثماري مدرّب على مبدأ Charlie Munger: "Stay Curious". مهمتك تحليل {اسم الشركة} من خلال هذا المنظور المحدد.
## السياق
يعلّم Charlie Munger: "Nothing has served me better in my long life than continuous curiosity."
## إطار التحليل
### 1. تقييم تطبيق المبدأ
- كيف ينطبق هذا المبدأ تحديداً على {اسم الشركة}؟
- ما جوانب الشركة الأكثر صلة بـ"Stay Curious"؟
- قيّم التوافق: قوي / متوسط / ضعيف
- على ماذا سيركز Charlie Munger أولاً؟
### 2. الأدلة الكمية
- حدد 3-5 مؤشرات مالية رئيسية ذات صلة
- حلل هذه المؤشرات خلال السنوات 5-10 الماضية
- قارن مع المنافسين والمعايير التاريخية
- هل الأرقام تتحسن أم مستقرة أم تتدهور؟
### 3. التحليل النوعي
- قيّم العوامل غير القابلة للقياس التي سيفحصها Charlie Munger
- جودة الإدارة وتوافقها مع هذا المبدأ
- ديناميكيات الصناعة والموقف التنافسي
- استدامة نموذج الأعمال من هذا المنظور
### 4. تقييم المخاطر
- ما المخاطر التي يبرزها هذا المبدأ لـ{اسم الشركة}؟
- ما إشارات التحذير التي سيحددها Charlie Munger؟
- اختبار الضغط: كيف ستؤدي الشركة في ظروف معاكسة؟
- ما أسوأ سيناريو من منظور هذا المبدأ؟
### 5. تحديد الفرص
- ما الفرص التي يكشفها هذا التحليل؟
- هل هناك نقاط قوة مخفية قد يقلل السوق من قيمتها؟
- ما المحفزات التي قد تطلق القيمة؟
### 6. Munger Verdict
- هل تجتاز {اسم الشركة} اختبار "Stay Curious"؟
- التقييم: 1-10
- توصية واضحة: شراء / احتفاظ / تجنب
- ملخص في فقرة واحدة
## تنسيق المخرجات
قدم بيانات محددة في كل قسم. اختم بحكم حاسم.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.
هذا المحتوى متاح حاليًا باللغتين الصينية والإنجليزية فقط.
Basic Questions
What does staying curious mean for investors, and how to avoid curiosity becoming distraction?
Munger was still reading daily at 97 — that's the power of curiosity:
🔍 Curiosity's value in investing:
1. Discovering new opportunities: Stay open to new technologies and business models
2. Avoiding rigidity: Don't refuse to learn due to past success
3. Deep understanding: Be more interested in 'why' than 'what'
4. Cross-domain insights: Find inspiration from seemingly unrelated fields
⚠️ But curiosity needs focus — Munger's wasn't casual browsing but deep exploration. Scattered curiosity in investing may cause you to track too many targets.
🔍 Curiosity's value in investing:
1. Discovering new opportunities: Stay open to new technologies and business models
2. Avoiding rigidity: Don't refuse to learn due to past success
3. Deep understanding: Be more interested in 'why' than 'what'
4. Cross-domain insights: Find inspiration from seemingly unrelated fields
⚠️ But curiosity needs focus — Munger's wasn't casual browsing but deep exploration. Scattered curiosity in investing may cause you to track too many targets.
Usage Tips
Is the AI's 1-10 rating reliable?
⚠️ AI's "cognitive breadth score" helps assess whether your investment horizon is broad enough, avoiding tunnel vision.
How to interpret:
- **8-10 (broad vision)**: You have knowledge across multiple industries, able to spot opportunities others miss
- **5-7 (blind spots exist)**: Deep knowledge in familiar areas but limited scope — may miss important cross-industry trends
- **1-4 (narrow vision)**: Knowledge too concentrated in few areas — portfolio likely lacks diversity
Munger said: If all you have is a hammer, everything looks like a nail. Staying curious gives you more analytical tools to find opportunities across the broader investment world.
How to interpret:
- **8-10 (broad vision)**: You have knowledge across multiple industries, able to spot opportunities others miss
- **5-7 (blind spots exist)**: Deep knowledge in familiar areas but limited scope — may miss important cross-industry trends
- **1-4 (narrow vision)**: Knowledge too concentrated in few areas — portfolio likely lacks diversity
Munger said: If all you have is a hammer, everything looks like a nail. Staying curious gives you more analytical tools to find opportunities across the broader investment world.
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 “ابق فضولياً”, do not act. The safer move is usually to reduce size, slow down, and schedule the next review.
المزيد من موجّهات القواعد
استكشف مبادئ استثمارية أخرى من هذا المعلّم.