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Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.
npx skill4agent add tradermonty/claude-trading-skills us-market-bubble-detector□ Put/Call Ratio (CBOE Equity P/C)
- Source: CBOE DataShop or web_search "CBOE put call ratio"
- Collect: 5-day moving average
□ VIX (Fear Index)
- Source: Yahoo Finance ^VIX or web_search "VIX current"
- Collect: Current value + percentile over past 3 months
□ Volatility Indicators
- 21-day realized volatility
- Historical position of VIX (determine if in bottom 10th percentile)□ FINRA Margin Debt Balance
- Source: web_search "FINRA margin debt latest"
- Collect: Latest month + Year-over-Year % change
□ Breadth (Market Participation)
- % of S&P 500 stocks above 50-day MA
- Source: web_search "S&P 500 breadth 50 day moving average"□ IPO Count & First-Day Performance
- Source: Renaissance Capital IPO or web_search "IPO market 2025"
- Collect: Quarterly count + median first-day returnScoring Criteria:
- 2 points: P/C < 0.70 (excessive optimism, call-heavy)
- 1 point: P/C 0.70-0.85 (slightly optimistic)
- 0 points: P/C > 0.85 (healthy caution)
Rationale: P/C < 0.7 is historically characteristic of bubble periodsScoring Criteria:
- 2 points: VIX < 12 AND major index within 5% of 52-week high
- 1 point: VIX 12-15 AND near highs
- 0 points: VIX > 15 OR more than 10% from highs
Rationale: Extreme low volatility + highs indicates excessive complacencyScoring Criteria:
- 2 points: YoY +20% or more AND all-time high
- 1 point: YoY +10-20%
- 0 points: YoY +10% or less OR negative
Rationale: Rapid leverage increase is a bubble precursorScoring Criteria:
- 2 points: Quarterly IPO count > 2x 5-year average AND median first-day return +20%+
- 1 point: Quarterly IPO count > 1.5x 5-year average
- 0 points: Normal levels
Rationale: Poor-quality IPO flood is characteristic of late-stage bubblesScoring Criteria:
- 2 points: New high AND < 45% of stocks above 50DMA (narrow leadership)
- 1 point: 45-60% above 50DMA (somewhat narrow)
- 0 points: > 60% above 50DMA (healthy breadth)
Rationale: Rally driven by few stocks is fragileScoring Criteria:
- 2 points: Past 3-month return exceeds 95th percentile of past 10 years
- 1 point: Past 3-month return in 85-95th percentile of past 10 years
- 0 points: Below 85th percentile
Rationale: Rapid price acceleration is unsustainableBefore adding ANY qualitative points:
□ Do I have concrete, measurable data? (not impressions)
□ Would an independent observer reach the same conclusion?
□ Am I avoiding double-counting with Phase 2 scores?
□ Have I documented specific evidence with sources?+1 point: ALL THREE criteria must be met:
✓ Direct user report of non-investor recommendations
✓ Specific examples with names/dates/conversations
✓ Multiple independent sources (minimum 3)
+0 points: Any criteria missing
⚠️ INVALID EXAMPLES:
- "AI narrative is prevalent" (unmeasurable)
- "I saw articles about retail investors" (not direct report)
- "Everyone is talking about stocks" (vague, unverified)
✅ VALID EXAMPLE:
"My barber asked about NVDA (Nov 1), dentist mentioned AI stocks (Nov 2),
Uber driver discussed crypto (Nov 3)"+1 point: BOTH criteria must be met:
✓ Google Trends showing 5x+ YoY increase (measured)
✓ Mainstream coverage confirmed (Time covers, TV specials with dates)
+0 points: Search trends <5x OR no mainstream coverage
⚠️ CRITICAL: "Elevated narrative" without data = +0 points
HOW TO VERIFY:
1. Search "[topic] Google Trends 2025" and document numbers
2. Search "[topic] Time magazine cover" for specific dates
3. Search "[topic] CNBC special" for episode confirmation
✅ VALID EXAMPLE:
"Google Trends: 'AI stocks' at 780 (baseline 150 = 5.2x).
Time cover 'AI Revolution' (Oct 15, 2025).
CNBC 'AI Investment Special' (3 episodes Oct 2025)."
⚠️ INVALID EXAMPLE:
"AI/technology narrative seems elevated" (unmeasurable)+1 point: ALL criteria must be met:
✓ P/E >25 (if NOT already counted in Phase 2 quantitative)
✓ Fundamentals explicitly ignored in mainstream discourse
✓ "This time is different" documented in major media
+0 points: P/E <25 OR fundamentals support valuations
⚠️ SELF-CHECK QUESTIONS (if ANY is YES, score = 0):
- Is P/E already in Phase 2 quantitative scoring?
- Do companies have real earnings supporting valuations?
- Is the narrative backed by fundamental improvements?
✅ VALID EXAMPLE for +1:
"S&P P/E = 35x (vs historical 18x).
CNBC article: 'Earnings don't matter in AI era' (Oct 2025).
Bloomberg: 'Traditional metrics obsolete' (Nov 2025)."
⚠️ INVALID EXAMPLE:
"P/E 30.8 but companies have real earnings and AI has fundamental backing"
(fundamentals support = +0 points)Final Score = Phase 2 Total (0-12 points) + Phase 3 Adjustment (0 to +3 points)
Range: 0 to 15 points
Judgment Criteria (with Risk Budget):
- 0-4 points: Normal (Risk Budget: 100%)
- 5-7 points: Caution (Risk Budget: 70-80%)
- 8-9 points: Elevated Risk (Risk Budget: 50-70%) ⚠️ NEW in v2.1
- 10-12 points: Euphoria (Risk Budget: 40-50%)
- 13-15 points: Critical (Risk Budget: 20-30%)□ Have you collected all Phase 1 data?
□ Did you apply each indicator's threshold mechanically?
□ Did you keep qualitative evaluation within +5 point limit?
□ Are you NOT assigning points based on news article impressions?
□ Does your final score align with other quantitative frameworks?1. Weekly chart shows lower highs
2. Volume peaks out
3. Leverage indicators drop sharply (margin debt decline)
4. Media/search trends peak out
5. Weak stocks start to break down first
6. VIX surges (spike above 20)
7. Fed/policy shift signals# [Market Name] Bubble Evaluation Report (Revised v2.1)
## Overall Assessment
- Final Score: X/15 points (v2.1: max reduced from 16)
- Phase: [Normal/Caution/Elevated Risk/Euphoria/Critical]
- Risk Level: [Low/Medium/Medium-High/High/Extremely High]
- Evaluation Date: YYYY-MM-DD
## Quantitative Evaluation (Phase 2)
| Indicator | Measured Value | Score | Rationale |
|-----------|----------------|-------|-----------|
| Put/Call | [value] | [0-2] | [reason] |
| VIX + Highs | [value] | [0-2] | [reason] |
| Margin YoY | [value] | [0-2] | [reason] |
| IPO Heat | [value] | [0-2] | [reason] |
| Breadth | [value] | [0-2] | [reason] |
| Price Accel | [value] | [0-2] | [reason] |
**Phase 2 Total: X/12 points**
## Qualitative Adjustment (Phase 3) - STRICT CRITERIA
**⚠️ Confirmation Bias Check:**
- [ ] All qualitative points have measurable evidence
- [ ] No double-counting with Phase 2
- [ ] Independent observer would agree
### A. Social Penetration (0-1 points)
- Evidence: [REQUIRED: Direct user reports with dates/names]
- Score: [+0 or +1]
- Justification: [Must meet ALL three criteria]
### B. Media/Search Trends (0-1 points)
- Google Trends Data: [REQUIRED: Measured numbers, YoY multiplier]
- Mainstream Coverage: [REQUIRED: Specific Time covers, TV specials with dates]
- Score: [+0 or +1]
- Justification: [Must have 5x+ search AND mainstream confirmation]
### C. Valuation Disconnect (0-1 points)
- P/E Ratio: [Current value]
- Fundamental Backing: [Yes/No - if Yes, score = 0]
- Narrative Analysis: [REQUIRED: Specific media quotes ignoring fundamentals]
- Score: [+0 or +1]
- Justification: [Must show fundamentals actively ignored]
**Phase 3 Total: +X/3 points (max reduced from +5 in v2.0)**
## Recommended Actions
**Risk Budget: X%** (Phase: [Normal/Caution/Elevated Risk/Euphoria/Critical])
- [Specific action 1]
- [Specific action 2]
- [Specific action 3]
**Short-Selling: [Not Allowed/Consider Cautiously/Active/Recommended]**
- Composite conditions: X/7 met
- Minimum required: [0/2/3/5] for current phase
## Key Changes in v2.1
- Stricter qualitative criteria (max +3, down from +5)
- Added "Elevated Risk" phase for 8-9 points
- Confirmation bias prevention checklist
- All qualitative points require measurable evidencereferences/implementation_guide.mdreferences/bubble_framework.mdreferences/historical_cases.mdreferences/quick_reference.mdreferences/quick_reference_en.mdimplementation_guide.mdbubble_framework.mdhistorical_cases.mdquick_reference.mdquick_reference_en.md"In God we trust; all others must bring data." - W. Edwards Deming