| name | us-market-bubble-detector |
| description | 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. |
Market: US only. This skill depends on US-specific data sources that have no KR equivalent.
Market: US only. This skill depends on US-specific data sources that have no KR equivalent.
US Market Bubble Detection Skill (Revised v2.1)
Key Revisions in v2.1
Critical Changes from v2.0:
- ✅ Mandatory Quantitative Data Collection - Use measured values, not impressions or speculation
- ✅ Clear Threshold Settings - Specific numerical criteria for each indicator
- ✅ Two-Phase Evaluation Process - Quantitative evaluation → Qualitative adjustment (strict order)
- ✅ Stricter Qualitative Criteria - Max +3 points (reduced from +5), requires measurable evidence
- ✅ Confirmation Bias Prevention - Explicit checklist to avoid over-scoring
- ✅ Granular Risk Phases - Added "Elevated Risk" phase (8-9 points) for nuanced risk management
Market: US only. This skill depends on US-specific data sources that have no KR equivalent.
When to Use This Skill
Use this skill when:
English:
- User asks "Is the market in a bubble?" or "Are we in a bubble?"
- User seeks advice on profit-taking, new entry timing, or short-selling decisions
- User reports social phenomena (non-investors entering, media frenzy, IPO flood)
- User mentions narratives like "this time is different" or "revolutionary technology" becoming mainstream
- User consults about risk management for existing positions
Japanese:
- ユーザーが「今の相場はバブルか?」と尋ねる
- 投資の利確・新規参入・空売りのタイミング判断を求める
- 社会現象(非投資家の参入、メディア過熱、IPO氾濫)を観察し懸念を表明
- 「今回は違う」「革命的技術」などの物語が主流化している状況を報告
- 保有ポジションのリスク管理方法を相談
Market: US only. This skill depends on US-specific data sources that have no KR equivalent.
Evaluation Process (Strict Order)
Phase 1: Mandatory Quantitative Data Collection
CRITICAL: Always collect the following data before starting evaluation
1.1 Market Structure Data (Highest Priority)
□ 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)
1.2 Leverage & Positioning Data
□ 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"
1.3 IPO & New Issuance Data
□ IPO Count & First-Day Performance
- Source: Renaissance Capital IPO or web_search "IPO market 2025"
- Collect: Quarterly count + median first-day return
⚠️ CRITICAL: Do NOT proceed with evaluation without Phase 1 data collection
Market: US only. This skill depends on US-specific data sources that have no KR equivalent.
Phase 2: Quantitative Evaluation (Quantitative Scoring)
Score mechanically based on collected data using the following criteria:
Indicator 1: Put/Call Ratio (Market Sentiment)
Scoring 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 periods
Indicator 2: Volatility Suppression + New Highs
Scoring 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 complacency
Indicator 3: Leverage (Margin Debt Balance)
Scoring 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 precursor
Indicator 4: IPO Market Overheating
Scoring 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 bubbles
Indicator 5: Breadth Anomaly (Narrow Leadership)
Scoring 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 fragile
Indicator 6: Price Acceleration
Scoring 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 unsustainable
Market: US only. This skill depends on US-specific data sources that have no KR equivalent.
Phase 3: Qualitative Adjustment (REVISED v2.1)
Limit: +3 points maximum (REDUCED from +5 in v2.0)
⚠️ CONFIRMATION BIAS PREVENTION CHECKLIST:
Before 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?
Adjustment A: Social Penetration (0-1 points, STRICT CRITERIA)
+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)"
Adjustment B: Media/Search Trends (0-1 points, REQUIRES MEASUREMENT)
+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)
Adjustment C: Valuation Disconnect (0-1 points, AVOID DOUBLE-COUNTING)
+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)
Phase 3 Total: Maximum +3 points
Market: US only. This skill depends on US-specific data sources that have no KR equivalent.
Phase 4: Final Judgment (REVISED v2.1)
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%)
Key Change in v2.1:
- Added "Elevated Risk" phase (8-9 points) for more nuanced positioning
- 9 points is no longer extreme defensive zone (was 40% risk budget)
- Now allows 50-70% risk budget at 8-9 point level
- More gradual transition from Caution to Euphoria phases
Market: US only. This skill depends on US-specific data sources that have no KR equivalent.
Data Sources (Required)
US Market
Japanese Market
Market: US only. This skill depends on US-specific data sources that have no KR equivalent.
Implementation Checklist
Verify the following when using:
□ 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?
Market: US only. This skill depends on US-specific data sources that have no KR equivalent.
Important Principles (Revised)
1. Data > Impressions
Ignore "many news reports" or "experts are cautious" without quantitative data.
2. Strict Order: Quantitative → Qualitative
Always evaluate in this order: Phase 1 (Data Collection) → Phase 2 (Quantitative) → Phase 3 (Qualitative Adjustment).
3. Upper Limit on Subjective Indicators
Qualitative adjustment has a total limit of +5 points. It cannot override quantitative evaluation.
4. "Taxi Driver" is Symbolic
Do not readily acknowledge mass penetration without direct recommendations from non-investors.
Market: US only. This skill depends on US-specific data sources that have no KR equivalent.
Common Failures and Solutions (Revised)
Failure 1: Evaluating Based on News Articles
❌ "Many reports on Takaichi Trade" → Media saturation 2 points
✅ Verify Google Trends numbers → Evaluate with measured values
Failure 2: Overreaction to Expert Comments
❌ "Warning of overheating" → Euphoria zone
✅ Judge with measured values of Put/Call, VIX, margin debt
Failure 3: Emotional Reaction to Price Rise
❌ 4.5% rise in 1 day → Price acceleration 2 points
✅ Verify position in 10-year distribution → Objective evaluation
Failure 4: Judgment Based on Valuation Alone
❌ P/E 17 → Valuation disconnect 2 points
✅ P/E + narrative dependence + other quantitative indicators for comprehensive judgment
Market: US only. This skill depends on US-specific data sources that have no KR equivalent.
Recommended Actions by Bubble Stage (REVISED v2.1)
Normal (0-4 points)
Risk Budget: 100%
- Continue normal investment strategy
- Set ATR 2.0× trailing stop
- Apply stair-step profit-taking rule (+20% take 25%)
Short-Selling: Not Allowed
- Composite conditions not met (0/7 items)
Caution (5-7 points)
Risk Budget: 70-80%
- Begin partial profit-taking (20-30% reduction)
- Tighten ATR to 1.8×
- Reduce new position sizing by 50%
Short-Selling: Not Recommended
- Wait for clearer reversal signals
Elevated Risk (8-9 points) ⚠️ NEW in v2.1
Risk Budget: 50-70%
- Increase profit-taking (30-50% reduction)
- Tighten ATR to 1.6×
- New positions: highly selective, quality only
- Begin building cash reserves for future opportunities
Short-Selling: Consider Cautiously
- Only after confirming at least 2/7 composite conditions
- Small exploratory positions (10-15% of normal size)
- Strict stop-loss (ATR 2.0×)
Rationale for NEW phase:
This zone represents heightened caution without extreme defensiveness.
Market shows warning signs but not imminent collapse.
Maintain exposure to quality positions while building flexibility.
Euphoria (10-12 points)
Risk Budget: 40-50%
- Accelerate stair-step profit-taking (50-60% reduction)
- Tighten ATR to 1.5×
- No new long positions except on major pullbacks
Short-Selling: Active Consideration
- After confirming at least 3/7 composite conditions
- Small positions (20-25% of normal size)
- Defined risk only (options, tight stops)
Critical (13-15 points)
Risk Budget: 20-30%
- Major profit-taking or full hedge implementation
- ATR 1.2× or fixed stop-loss
- Cash preservation mode - prepare for major dislocation
Short-Selling: Recommended
- After confirming at least 5/7 composite conditions
- Scale in with small positions, pyramid on confirmation
- Tight stop-loss (ATR 1.5× or higher)
- Consider put options for defined risk
Market: US only. This skill depends on US-specific data sources that have no KR equivalent.
Composite Conditions for Short-Selling (7 Items)
Only consider shorts after confirming at least 3 of the following:
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: US only. This skill depends on US-specific data sources that have no KR equivalent.
Output Format
Evaluation Report Structure (v2.1)
# [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 evidence
Market: US only. This skill depends on US-specific data sources that have no KR equivalent.
Reference Documents
references/implementation_guide.md (English) - RECOMMENDED FOR FIRST USE
- Step-by-step evaluation process with mandatory data collection
- NG examples vs OK examples
- Self-check quality criteria (4 levels)
- Red flags during review
- Best practices for objective evaluation
references/bubble_framework.md (Japanese)
- Detailed theoretical framework
- Explanation of Minsky/Kindleberger model
- Behavioral psychology elements
references/historical_cases.md (Japanese)
- Analysis of past bubble cases
- Dotcom, Crypto, Pandemic bubbles
- Common pattern extraction
references/quick_reference.md (Japanese)
references/quick_reference_en.md (English)
- Daily checklist
- Emergency 3-question assessment
- Quick scoring guide
- Key data sources
When to Load References
- First use or need detailed guidance: Load
implementation_guide.md
- Need theoretical background: Load
bubble_framework.md
- Need historical context: Load
historical_cases.md
- Daily operations: Load
quick_reference.md (Japanese) or quick_reference_en.md (English)
Market: US only. This skill depends on US-specific data sources that have no KR equivalent.
Summary: Essence of v2.1 Revision
v2.0 Problem (Identified Nov 2025):
- Qualitative adjustment too loose (+5 max)
- "AI narrative elevated" → +1 point (no data)
- "P/E 30.8" → +1 point (double-counting with quantitative)
- Result: 11/16 points - overly bearish without evidence
v2.1 Solution:
- Qualitative adjustment stricter (+3 max)
- "AI narrative elevated" → 0 points (unmeasured)
- "P/E 30.8 but AI has fundamental backing" → 0 points (fundamentals support)
- Result: 9/15 points - balanced, data-driven assessment
Key Improvements:
- Confirmation Bias Prevention: Explicit checklist before adding qualitative points
- Measurable Evidence Required: No points without concrete data (Google Trends, media coverage)
- Double-Counting Prevention: Valuation must not duplicate Phase 2 quantitative
- Granular Risk Phases: Added "Elevated Risk" (8-9 points) for nuanced positioning
- Balanced Risk Budgets: 9 points = 50-70% (not 40% extreme defensive)
Core Principle:
"In God we trust; all others must bring data." - W. Edwards Deming
2025 Lesson:
Even data-driven frameworks can be undermined by subjective qualitative adjustments.
v2.1 requires MEASURABLE evidence for ALL qualitative points.
Independent observers must be able to verify each adjustment.
Market: US only. This skill depends on US-specific data sources that have no KR equivalent.
Version History:
- v2.0 (Oct 27, 2025): Mandatory quantitative data collection
- v2.1 (Nov 3, 2025): Stricter qualitative criteria, confirmation bias prevention, granular risk phases
Reason for v2.1 Revision:
Prevent over-scoring through unmeasured "narrative" assessments and double-counting.
Ensure all bubble risk evaluations are independently verifiable and free from confirmation bias.
