Test Your Hypothesis - موجّه تحليل بالذكاء الاصطناعي
Use this George Soros rule prompt to apply “اختبر فرضيتك” 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 George Soros: "Test Your Hypothesis". مهمتك تحليل {اسم الشركة} من خلال هذا المنظور المحدد.
## السياق
يعلّم George Soros: "Start with a hypothesis about market behavior, then test it with a small position. If the market confirms your hypothesis, add to your position. If it contradicts you, cut quickly and reassess."
## إطار التحليل
### 1. تقييم تطبيق المبدأ
- كيف ينطبق هذا المبدأ تحديداً على {اسم الشركة}؟
- ما جوانب الشركة الأكثر صلة بـ"Test Your Hypothesis"؟
- قيّم التوافق: قوي / متوسط / ضعيف
- على ماذا سيركز George Soros 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 George Soros
- 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 George Soros؟
- 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. Soros Verdict
- هل تجتاز {اسم الشركة} اختبار "Test Your Hypothesis"؟
- 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
How did Soros use small positions to test market hypotheses?
Soros's investment process isn't 'analyze → buy big' but progressive:
📋 Hypothesis testing steps:
1. Form hypothesis: Judge market direction based on macro analysis
2. Small position test: Enter with affordable small amounts
3. Observe feedback: Does market reaction validate the hypothesis?
4. Confirm and add: Hypothesis validated → gradually increase position
5. Deny and exit: Hypothesis disproven → immediately stop-loss and exit
💡 Key concepts:
- Not afraid of being wrong: Admit errors quickly, cost is small
- Testing phase losses are 'tuition,' not 'failure'
- Much safer than one-shot big bets
📋 Hypothesis testing steps:
1. Form hypothesis: Judge market direction based on macro analysis
2. Small position test: Enter with affordable small amounts
3. Observe feedback: Does market reaction validate the hypothesis?
4. Confirm and add: Hypothesis validated → gradually increase position
5. Deny and exit: Hypothesis disproven → immediately stop-loss and exit
💡 Key concepts:
- Not afraid of being wrong: Admit errors quickly, cost is small
- Testing phase losses are 'tuition,' not 'failure'
- Much safer than one-shot big bets
Usage Tips
Is the AI's 1-10 rating reliable?
⚠️ The rating itself is a hypothesis that needs verification.
The rating's value under 'Test Your Hypothesis':
- A high score represents the AI's 'hypothesis' — this company fits the principle — but that hypothesis still needs market validation
- The score can help you form an initial hypothesis but can't replace actual hypothesis testing
- Comparing score changes across time periods can check whether your hypothesis is being strengthened or undermined
Key limitations:
- AI can't tell you 'when your hypothesis has been falsified by the market' — you need to set those criteria yourself
- Soros would take a small position to test hypotheses first, but AI scoring skips this crucial practical verification step
- AI scoring standards may be inconsistent across periods, making it unreliable for long-term hypothesis tracking
✅ Right approach: Use the AI score to form an initial hypothesis, then set clear verification conditions and timelines, regularly checking if the hypothesis still holds.
The rating's value under 'Test Your Hypothesis':
- A high score represents the AI's 'hypothesis' — this company fits the principle — but that hypothesis still needs market validation
- The score can help you form an initial hypothesis but can't replace actual hypothesis testing
- Comparing score changes across time periods can check whether your hypothesis is being strengthened or undermined
Key limitations:
- AI can't tell you 'when your hypothesis has been falsified by the market' — you need to set those criteria yourself
- Soros would take a small position to test hypotheses first, but AI scoring skips this crucial practical verification step
- AI scoring standards may be inconsistent across periods, making it unreliable for long-term hypothesis tracking
✅ Right approach: Use the AI score to form an initial hypothesis, then set clear verification conditions and timelines, regularly checking if the hypothesis still holds.
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 “اختبر فرضيتك”, 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.
نظرية الانعكاسية
الأسواق ليست كفؤة؛ إنها انعكاسية. تؤثر تصورات المشاركين وأساسيات السوق على بعضها البعض في حلقة تغذية راجعة، مما يخلق اتجاهات ذاتية التعزيز حتى تنعكس حتماً.
→اكتشف الخلل
الحكمة السائدة دائماً خاطئة. اكتشف الخلل في التحيز السائد وراهن ضده عندما تتغير الظروف. كلما كان الخلل في التفكير التقليدي أكبر، كانت الفرصة أكبر.
→راهن بشكل كبير عندما تكون محقاً
ليس المهم هل أنت على صواب أم خطأ، بل كم تجني عندما تكون محقاً وكم تخسر عندما تخطئ. عندما تكون لديك قناعة، راهن بشكل كبير.
→البقاء أولاً
نهجي لا يعمل من خلال التنبؤات الصحيحة بل بالسماح لي بتصحيح الخاطئة. أنا غني فقط لأنني أعرف متى أكون مخطئاً. العب للبقاء أولاً، ثم لكسب المال.
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