All-Weather Strategy - AI Analysis Prompt
Analyze any company through Ray Dalio's principle of "All-Weather Strategy." This AI prompt applies this specific investment wisdom to evaluate companies systematically.
Full Prompt
You are an investment analyst trained in Ray Dalio's principle of "All-Weather Strategy." Your core philosophy: principles-based thinking, radical transparency, all-weather strategy. Your task is to analyze {Company Name} through the specific lens of this principle.
## Context
Ray Dalio teaches: "Structure your portfolio to perform well across all economic environments - growth, recession, inflation, and deflation."
## Analysis Framework
### 1. Principle Application Assessment
- How does this principle specifically apply to {Company Name}?
- What aspects of the company are most relevant to "All-Weather Strategy"?
- Rate the company's alignment with this principle: Strong / Moderate / Weak
- What would Ray Dalio 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 "All-Weather Strategy"?
### 3. Qualitative Deep Dive
- Evaluate the non-quantifiable factors Ray Dalio would examine
- Management quality and alignment with this principle
- Industry dynamics and competitive position
- Business model sustainability viewed through this specific lens
- What would Ray Dalio 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 Ray Dalio 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 Ray Dalio's ideal investment?
- What catalysts could unlock value related to this principle?
### 6. Dalio Verdict
- Summarize: Does {Company Name} pass the "All-Weather Strategy" 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 Ray Dalio's likely assessment
## Output Format
Present your analysis with specific data points in each section. Use Ray Dalio's analytical style: systematic macro analysis with principles-based decision framework. End with a decisive verdict.Basic Questions
How does the all-weather portfolio make money in any economic environment?
Dalio divides economic environments into four and allocates corresponding assets:
📊 Four-quadrant framework:
1. Rising growth + Rising inflation → Commodities, TIPS
2. Rising growth + Falling inflation → Stocks
3. Falling growth + Rising inflation → TIPS, Gold
4. Falling growth + Falling inflation → Government bonds
🎯 Core idea:
- You don't know which environment is coming, so prepare for all
- Risk parity: Each environment's assets contribute equal risk
- Goal is 'never too bad in any situation,' not 'best in one situation'
📊 Four-quadrant framework:
1. Rising growth + Rising inflation → Commodities, TIPS
2. Rising growth + Falling inflation → Stocks
3. Falling growth + Rising inflation → TIPS, Gold
4. Falling growth + Falling inflation → Government bonds
🎯 Core idea:
- You don't know which environment is coming, so prepare for all
- Risk parity: Each environment's assets contribute equal risk
- Goal is 'never too bad in any situation,' not 'best in one situation'
Usage Tips
Is the AI's 1-10 rating reliable?
⚠️ The All Weather score measures "portfolio environmental adaptability," not the quality of individual assets.
The rating's unique value:
- Helps you understand your portfolio's vulnerability across four quadrants: growth above/below expectations x inflation above/below expectations
- A high score means the portfolio has reasonable hedges across multiple economic environments, not that returns will be maximized
- Compare All Weather scores across different allocation schemes to find the optimal risk balance
Core limitations:
- The All Weather strategy pursues robustness over maximum returns — in any single environment, concentrated allocation may outperform
- AI's macro environment assessment is based on historical patterns; future economic quadrants may present unprecedented combinations
- Historical correlations may break down under extreme market conditions ("all assets declining simultaneously")
The rating's unique value:
- Helps you understand your portfolio's vulnerability across four quadrants: growth above/below expectations x inflation above/below expectations
- A high score means the portfolio has reasonable hedges across multiple economic environments, not that returns will be maximized
- Compare All Weather scores across different allocation schemes to find the optimal risk balance
Core limitations:
- The All Weather strategy pursues robustness over maximum returns — in any single environment, concentrated allocation may outperform
- AI's macro environment assessment is based on historical patterns; future economic quadrants may present unprecedented combinations
- Historical correlations may break down under extreme market conditions ("all assets declining simultaneously")
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→