All-Weather Strategy - AI Analysis Prompt
Use this Ray Dalio rule prompt to apply “All-Weather Strategy” 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 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.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.
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")
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 “All-Weather Strategy”, do not act. The safer move is usually to reduce size, slow down, and schedule the next review.
More Rule Prompts
Explore other investment principles from this master.
Big Picture Thinking
Don't get lost in the details. Always keep the big picture in mind and prioritize accordingly.
→Mistakes as Learning
Every time you make a mistake, you should be grateful because you have an opportunity to learn from it and improve.
→The Economic Machine
The economy works like a simple machine. Three main forces drive it: productivity growth, short-term debt cycle, and long-term debt cycle.
→Five-Step Process
Use the 5-Step Process to get what you want: 1) Set clear goals, 2) Identify problems, 3) Diagnose root causes, 4) Design solutions, 5) Execute.
→