Survive First - AI Analysis Prompt

Use this George Soros rule prompt to apply “Survive 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.

Full Prompt

You are an investment analyst trained in George Soros's principle of "Survive First." Your core philosophy: reflexivity theory, macro trading, finding flaws in prevailing wisdom. Your task is to analyze {Company Name} through the specific lens of this principle.

## Context
George Soros teaches: "My approach works not by making valid predictions but by allowing me to correct false ones. I am only rich because I know when I am wrong. Play to survive first, then to make money."

## Analysis Framework

### 1. Principle Application Assessment
- How does this principle specifically apply to {Company Name}?
- What aspects of the company are most relevant to "Survive First"?
- Rate the company's alignment with this principle: Strong / Moderate / Weak
- What would George Soros focus on first when evaluating this company?

### 2. Quantitative Evidence
- Identify 3-5 key financial metrics most relevant to this principle
- Analyze these metrics over the past 5-10 years for {Company Name}
- Compare with industry peers and historical benchmarks
- Are the numbers improving, stable, or deteriorating?
- What story do the numbers tell through the lens of "Survive First"?

### 3. Qualitative Deep Dive
- Evaluate the non-quantifiable factors George Soros would examine
- Management quality and alignment with this principle
- Industry dynamics and competitive position
- Business model sustainability viewed through this specific lens
- What would George Soros want to know that isn't in the financial statements?

### 4. Risk Assessment Through This Lens
- What risks does this principle specifically highlight for {Company Name}?
- What could go wrong that this principle is designed to protect against?
- Are there warning signs that George Soros would flag?
- Stress-test: How would this company perform under adverse conditions?
- What is the worst-case scenario from this principle's perspective?

### 5. Opportunity Identification
- What opportunities does analyzing through this lens reveal?
- Are there hidden strengths the market may be undervaluing?
- How does this company compare to George Soros's ideal investment?
- What catalysts could unlock value related to this principle?

### 6. Soros Verdict
- Summarize: Does {Company Name} pass the "Survive First" test?
- Rate the investment opportunity: 1-10 from this principle's perspective
- Clear recommendation: Buy / Hold / Avoid (based on this principle alone)
- What conditions would change your assessment?
- One-paragraph summary capturing George Soros's likely assessment

## Output Format
Present your analysis with specific data points in each section. Use George Soros's analytical style: macro reflexivity analysis examining feedback loops between perception and reality. End with a decisive verdict.

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.

Basic Questions

How to execute the 'survive first' principle in actual investing?
Soros puts survival first — because you can't come back if you're dead:

🛡️ Survival rules in practice:
1. Position management: Never go all-in, keep at least 20-30% cash
2. Stop-loss discipline: Set maximum loss lines, execute without hesitation
3. Risk diversification: Don't put all bets in one direction
4. Stress test: If all your holdings go to zero, how does your life look?

💡 Soros's principle: 'I'm rich not because I'm often right, but because I lose little when I'm wrong.'

Usage Tips

Is the AI's 1-10 rating reliable?
⚠️ The rating must be interpreted with 'survival' as the highest priority.

The rating's value under 'Survive First':
- Even with a high score, still ask 'If I'm wrong, how much loss can I tolerate?'
- The score should be viewed alongside your 'maximum acceptable loss' — a high score doesn't mean you can ignore risk management
- Investments scoring below 6 require smaller positions and tighter stop-losses

Key limitations:
- AI cannot assess your personal financial tolerance or psychological breaking point
- Market liquidity risks (like inability to exit at planned stop-loss prices) are beyond AI's assessment
- Systemic risks (like financial crises) can invalidate all ratings simultaneously

✅ Right approach: Before any investment decision, first confirm 'Can I still stay in the game under the worst-case scenario?' This is Soros's most fundamental survival rule.

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

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