Us Market Bubble Detector

US Market Bubble Detection Skill (Revised v2.1)

Key Revisions in v2.1

Critical Changes from v2.0: 1. ✅ Mandatory Quantitative Data Collection - Use measured values, not impressions or speculation 2. ✅ Clear Threshold Settings - Specific numerical criteria for each indicator 3. ✅ Two-Phase Evaluation Process - Quantitative evaluation → Qualitative adjustment (strict order) 4. ✅ Stricter Qualitative Criteria - Max +3 points (reduced from +5), requires measurable evidence 5. ✅ Confirmation Bias Prevention - Explicit checklist to avoid over-scoring 6. ✅ Granular Risk Phases - Added "Elevated Risk" phase (8-9 points) for nuanced risk management

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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

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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

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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

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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

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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

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Data Sources (Required)

US Market

• Put/Call: https://www.cboe.com/tradable_products/vix/
• VIX: Yahoo Finance (^VIX) or https://www.cboe.com/
• Margin Debt: https://www.finra.org/investors/learn-to-invest/advanced-investing/margin-statistics
• Breadth: https://www.barchart.com/stocks/indices/sp/sp500?viewName=advanced
• IPO: https://www.renaissancecapital.com/IPO-Center/Stats

Japanese Market

• Nikkei Futures P/C: https://www.barchart.com/futures/quotes/NO*0/options
• JNIVE: https://www.investing.com/indices/nikkei-volatility-historical-data
• Margin Debt: JSF (Japan Securities Finance) Monthly Report
• Breadth: https://en.macromicro.me/series/31841/japan-topix-index-200ma-breadth
• IPO: https://www.pwc.co.uk/services/audit/insights/global-ipo-watch.html

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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?

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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.

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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

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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

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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

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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

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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)

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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: 1. Confirmation Bias Prevention: Explicit checklist before adding qualitative points 2. Measurable Evidence Required: No points without concrete data (Google Trends, media coverage) 3. Double-Counting Prevention: Valuation must not duplicate Phase 2 quantitative 4. Granular Risk Phases: Added "Elevated Risk" (8-9 points) for nuanced positioning 5. 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.

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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.

US Market Bubble Detector - Changelog

Version 2.1 (November 3, 2025)

Critical Issue Fixed

Problem Identified: v2.0 allowed excessive qualitative adjustments based on unmeasured "narratives" and subjective impressions, leading to inflated bubble risk scores.

Example Case (Nov 3, 2025):

• Quantitative Score (Phase 2): 9 points (objective, data-driven)
• Qualitative Adjustment (v2.0): +2 points
• Media Narrative: +1 (based on "elevated AI narrative" - NO DATA)
• Valuation: +1 (P/E 30.8 - DOUBLE COUNTED, ignored fundamental backing)
• Result: 11/16 points → Euphoria phase → 40% risk budget (overly defensive)

Root Cause: Confirmation bias - analyst had bearish conclusion first, then adjusted qualitative points to match expectation.

Changes in v2.1

1. Stricter Qualitative Criteria (MAX +3, down from +5)

A. Social Penetration (0-1 points)

• v2.0: Loose criteria, "general awareness" acceptable
• v2.1: ALL three required:
• Direct user report of non-investor recommendations
• Specific examples with dates/names
• Multiple independent sources (minimum 3)

B. Media/Search Trends (0-1 points)

• v2.0: Subjective "many reports" acceptable
• v2.1: BOTH required:
• Google Trends 5x+ YoY (measured data)
• Mainstream coverage confirmed (Time covers, TV specials with dates)
• Critical: "Elevated narrative" without data = 0 points

C. Valuation Disconnect (0-1 points)

• v2.0: P/E >25 alone sufficient
• v2.1: ALL required AND avoid double-counting:
• P/E >25 (if NOT in Phase 2)
• Fundamentals explicitly ignored in discourse
• "This time is different" documented in major media
• Self-check: If companies have real earnings supporting valuations → 0 points

2. Confirmation Bias Prevention

New mandatory 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?

3. Granular Risk Phases

New "Elevated Risk" Phase (8-9 points)

• v2.0: 9 points = Euphoria = 40% risk budget (extreme defensive)
• v2.1: 9 points = Elevated Risk = 50-70% risk budget (balanced caution)

Updated Risk Budget Matrix:

4. Maximum Score Reduction

• v2.0: 0-16 points (Phase 2: 12, Phase 3: -1 to +5)
• v2.1: 0-15 points (Phase 2: 12, Phase 3: 0 to +3)

Impact on Nov 3, 2025 Analysis

Under v2.0:

• Score: 11/16 → Euphoria phase
• Risk Budget: 40%
• Positioning: Extreme defensive

Under v2.1 (corrected):

• Quantitative: 9/12 (unchanged, data-driven)
• Qualitative:
• Media Narrative: 0 points (no Google Trends data)
• Valuation: 0 points (AI has fundamental backing, double-counting)
• Score: 9/15 → Elevated Risk phase
• Risk Budget: 50-70%
• Positioning: Cautious but not extreme

Key Learnings

1. Data > Impressions: "Elevated narrative" is not measurable evidence 2. Avoid Double-Counting: Valuation in Phase 2 quantitative ≠ add again in Phase 3 3. Check Internal Consistency: If report admits "AI has fundamental backing," then valuation disconnect score must be 0 4. Independent Verification: All qualitative points must be verifiable by independent observers

Documentation Updates

• SKILL.md: Updated to v2.1 with strict criteria
• references/implementation_guide.md: Enhanced Phase 3 with bias prevention checklist
• references/quick_reference.md: Updated action matrix with new Elevated Risk phase
• references/bubble_framework.md: Updated risk budget table

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Version 2.0 (October 27, 2025)

Initial Major Revision

• Introduced mandatory quantitative data collection
• Eliminated reliance on impressions and speculation
• Established clear threshold settings for each indicator
• Two-phase evaluation process: Quantitative → Qualitative

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Version Control:

• v1.x: Original framework (deprecated)
• v2.0: Data-driven quantitative focus
• v2.1: Strict qualitative criteria + confirmation bias prevention

Detailed Bubble Theory Framework

Table of Contents

1. Core Concept 2. Minsky/Kindleberger Model 3. Behavioral Psychology Elements 4. Quantitative Indicators for Detection 5. Practical Response Strategies

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Core Concept

The Essence of Bubbles: Social Norm Inversion Through Social Contagion

True bubbles are determined not by price levels but by the phase of crowd psychology.

Core Characteristics

1. Critical Information Cascade

• Spread to all layers (including non-investors) is complete
• FOMO (Fear of Missing Out) becomes social norm
• Social cost of being skeptical is maximized

2. Social Calculation Inversion

   Normal state: Conformity pressure < Value of independent judgment
   Bubble state: Conformity pressure > Value of independent judgment

Completion is near when "pain of not conforming < pain of holding contrarian views"

3. Institutionalized Confirmation Bias

• Media, experts, and laypeople repeat the same narrative
• Counterevidence is ignored or excluded
• "This time is different" becomes the mantra

Signal Example: Taxi Driver Investment Talk

Modern version of Joe Kennedy selling before the 1929 crash after hearing a shoeshine boy talk stocks.

Why this is a decisive signal:

• Information reaches the final tier = cascade complete
• "Last buyer" cohort enters = demand exhaustion near
• "Sure to profit" perception without expertise = peak risk ignorance

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Minsky/Kindleberger Model

5-stage bubble progression model (Hyman Minsky / Charles Kindleberger)

1. Displacement (Trigger)

Characteristics:

• Structural changes like new technology, institutional reform, monetary easing
• Legitimate investment opportunities emerge
• Rational price rises

Real Examples:

• 1990s: Internet revolution
• 2010s: Mobile/cloud
• 2020-21: Pandemic-response ultra-easing + remote work technology

2. Boom (Expansion)

Characteristics:

• Self-reinforcing loop: price rise → media exposure → new participants → liquidity expansion
• Positive expert views increase
• Valuations high but "explainable by growth expectations"

Psychology:

• Availability bias: Success stories dominate
• Herding: Even institutional investors feel pressure to join

Detection Indicators:

• Sustained trading volume increase
• Accelerating new account openings
• Annual returns in 75-90th percentile

3. Euphoria (Exuberance)

Characteristics:

• Narrative becomes "common sense," dissent labeled "outdated"
• Leverage increases (margin trading, futures, derivatives)
• New issuances proliferate (IPO/ICO/SPAC)
• Even low-quality stocks rally

Psychology:

• Overconfidence: "I'm special"
• Confirmation bias: Accept only favorable information
• Regret aversion: Overly fear "missing gains after selling"

Detection Indicators:

• VIX falls (risk dismissal)
• Extreme Put/Call ratio bias
• Margin balances at all-time highs
• Proliferation of "XX-related" products

4. Profit Taking (Exit Begins)

Characteristics:

• Early participants (smart money) begin taking profits
• But crowd continues chasing with FOMO
• Volatility (price fluctuation) increases

Psychological Divergence:

• Smart money: Loss aversion (prioritize securing gains)
• Crowd: FOMO peaks ("don't miss out")

Detection Indicators:

• Volume surges + increased price swings
• Insider selling increases
• Short interest rises (sophisticated skepticism)

5. Panic (Reversal)

Characteristics:

• Objective confirmation of trend breakdown (failure to make new highs, MA breaks)
• Forced liquidations → liquidation cascade
• Liquidity evaporates

Psychology:

• Loss aversion reverses: "don't want to realize loss" → "must avoid further loss by panic selling"
• Herding reverses: buying crowd → selling crowd

Detection Indicators:

• Circuit breakers triggered
• Chain of margin calls
• Mark-to-market losses at all-time worst levels

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Behavioral Psychology Elements

1. FOMO (Fear of Missing Out)

Mechanism:

• Social proof: "Everyone's buying → must be right"
• Regret aversion: "regret of missing out" > "regret of losing money"

Bubble Condition: FOMO elevates from individual psychology to social norm → non-conformity becomes professional/social risk

2. Confirmation Bias

Bubble-Period Amplification:

• Media echo chambers
• Social media algorithm filter bubbles
• Expert conformity pressure (contrarianism = career risk)

3. Overconfidence

Bubble-Period Characteristics:

• "Only I can sell at the top"
• "This time is different"
• Risk management neglect

4. Dangerous Combination: Loss Aversion × Regret Aversion

Most Dangerous Phase: Investors who experienced "rapid rise after early profit-taking"

1. Take profit → price rises further → regret 2. Re-enter → buy high → can't cut loss due to loss aversion 3. Further rise → illusion of being "right" reinforces 4. Miss exit when reversal comes

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Quantitative Indicators for Detection

Category 1: Social Penetration

Category 2: Price Dynamics

Category 3: Leverage & Positioning

Category 4: New Issuance & Entry

Category 5: Valuation

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Practical Response Strategies

Offense: Profit-Taking Strategy

1. Mechanical Stair-Step Profit-Taking

Target Return    Profit %    Remaining Position
+20%             25%         75%
+40%             25%         50%
+60%             25%         25%
+80%             25%         0%

Benefits:

• Eliminates psychological pressure
• Mitigates "post-sale rise" regret
• Guarantees partial profit capture

2. Time-Diversified Exit

NG Pattern: Concentrate profit-taking on specific events (earnings, product launch, index inclusion)

Recommended:

• Sell 10% daily over 2 weeks
• Distribute before/during/after events

3. Trailing Stop (Volatility-Adjusted)

stop_price = current_price - (ATR × coefficient)
# ATR: Average True Range (20-day average fluctuation)
# Coefficient: 2.0 (normal), 1.5 (bubble zone, tightened)

Defense: Risk Management

1. Pre-Determined Drawdown Tolerance

Expected Max DD    Position Size
-10%               100% (full position)
-20%               50%
-30%               33%
-40%               25%

2. Risk Budget by Bubble Stage (REVISED v2.1)

Key Changes in v2.1:

• Added "Elevated Risk" phase (8-9 points) for more granular risk management
• Adjusted risk budgets to be less extreme at 9-point level
• Maximum score reduced to 15 (Phase 2: 12 max, Phase 3: 3 max with strict criteria)

3. Short-Selling Timing (Critical)

NG Pattern:

• Early shorts based on subjective "too high"
• Bubbles "last longer than expected" ("Markets can remain irrational longer than you can remain solvent")

Recommended Conditions (Composite): 1. Weekly chart shows clear lower highs 2. Volume peaks out (enters declining trend) 3. Funding rate drops sharply (crypto) / margin balance declines (stocks) 4. Media/search trends peak out 5. Weak stocks within sector start breaking down first

Consider starting when minimum 3 conditions met.

4. Separate Cash Accounts

• Long-term investment account: Buy & hold, dividend reinvestment, rebalancing only
• Trading account: Short-term trading, bubble profit-taking, reversal shorts

Purpose: Prevent decision confusion, maintain psychological stability

Practical Daily Checklist

Check every morning before market open:

• [ ] Update Bubble-O-Meter (score 8 indicators)
• [ ] Update ATR trailing stops for held positions
• [ ] Verify planned new entries are appropriate given bubble stage
• [ ] Check for sudden media/social media trend changes
• [ ] Confirm major indices' distance from 52-week highs
• [ ] Check leverage indicators (margin balance, funding rate)
• [ ] Check VIX level and Put/Call ratio
• [ ] Check sector breadth (broad rally or selective)

---

Summary: Golden Rules for Practice

1. "See process, not price" Evaluate bubbles not by levels but by crowd psychology phase transitions

2. "When taxi drivers talk stocks, exit" Last buyer cohort entry = demand exhaustion near

3. "'This time is different' is always the same" When "This time is different" becomes the mantra, be very cautious

4. "Mechanical rules protect psychology" When conformity pressure peaks, strict adherence to pre-determined rules is lifeline

5. "Short after confirmation, take profits early" Bubble collapses come late but suddenly. Contrarian shorts dangerous. Profits mechanically.

6. "When skepticism hurts, the end begins" The moment social cost exceeds independent judgment is the critical point

Historical Bubble Cases and Pattern Analysis

Table of Contents

1. Late 1990s: Dotcom Bubble 2. Late 2017: Crypto Bubble 3. 2020-21: Pandemic Bubble Complex 4. Common Patterns and Lessons

---

Dotcom Bubble (1995-2000)

Timeline

1995-1997: Displacement (Trigger)

• Netscape IPO (August 1995): More than doubled on first day
• Internet penetration: US 5% → 20%
• Legitimate technological innovation and investment opportunities

1998-Early 1999: Boom (Expansion)

• NASDAQ 100: Sustained +40% annual growth
• Adding ".com" to name alone drove stock prices up ("the .com effect")
• IPO first-day returns averaged +70%

Late 1999-March 2000: Euphoria (Exuberance)

• "Old Economy vs New Economy" binary opposition
• "Clicks vs Bricks" (online is invincible)
• Valuation metrics ignored: "P/E is outdated"

March 10, 2000: Peak (NASDAQ 5,048.62)

March 2000-October 2002: Panic & Crash

• NASDAQ: -78% (5,048 → 1,114)
• Many bankruptcies: Pets.com, Webvan, eToys, etc.

Bubble-O-Meter Score Estimate (March 2000)

Total: 15/16 points (Critical Zone)

Lessons

1. The Magic of the ".com" Suffix Name change alone drove +50%+ stock price gains (e.g., Zapata → Zap.com)

2. IPO Mania Danger First-day returns of +100%+ becoming normal = abnormal demand overheating

3. "Growth Without Profits" Limits Many "Get Big Fast" strategies failed, ignoring cash flow consequences

4. Fed Rate Hikes as Trigger Consecutive rate hikes 1999-2000 → funding cost rise → valuation justification impossible

---

Crypto Bubble (2017)

Timeline

2016-Early 2017: Displacement & Boom

• Bitcoin: $1,000 → $3,000 (June 2017)
• Emergence of ICO (Initial Coin Offering)
• Rise of altcoins like Ethereum, Ripple

August-November 2017: Accelerating Boom

• Bitcoin: $3,000 → $10,000
• Coinbase app #1 on US App Store
• "Blockchain revolution" narrative spreads

December 2017: Euphoria Peak

• Bitcoin: $10,000 → $19,783 (December 17 peak)
• Taxi drivers preaching crypto (iconic episode from text)
• University lectures producing "instant experts"
• Family gatherings dominated by investment talk

December 18, 2017-December 2018: Crash

• Bitcoin: $19,783 → $3,200 (-84%)
• ICO scams exposed, regulatory crackdown

Bubble-O-Meter Score Estimate (Mid-December 2017)

Total: 16/16 points (Critical Zone - Perfect Score)

Lessons

1. "Most Dangerous Phase: Rapid Rise After Selling" Example from text: Took profit at $8k→$13k → 10 days later approaching $20k → regret and re-entry impulse

2. Leverage Destructive Power 100x leverage = total loss on 5% adverse move, liquidation cascade accelerates crash

3. ICO Scam Proliferation Raised billions with only whitepapers → many absconded

4. Regulatory Risk Underestimation "Impossible to regulate" narrative → collapse when China/Korea closed exchanges

---

Pandemic Bubble (2020-2021)

Timeline

March-June 2020: Displacement

• COVID-19 panic → historic monetary easing
• Fed asset purchases, zero rates, fiscal support
• "TINA" (There Is No Alternative): No investment alternative to stocks

July 2020-Early 2021: Boom

• NASDAQ 100: +50% (2020 full year)
• Work-from-home/DX stocks lead (Zoom, Peloton, Shopify)
• Robinhood account openings surge, "Stonks" meme culture

Early 2021: Euphoria

• Meme stocks (GME, AMC) wild swings
• SPAC boom (Q1 2021: 298 formations)
• NFT mania (Beeple artwork $69M, "Bored Ape" etc.)
• Crypto resurgence (BTC $64k, "DeFi Summer")

November 2021: Peak (NASDAQ 16,057)

2022: Reversal

• Fed hawkish pivot (inflation response)
• Interest rate rises → growth stock plunge
• NASDAQ: -33% (2022 full year)
• Crypto bubble collapse (Luna, FTX failures)

Bubble-O-Meter Score Estimate (November 2021)

Total: 14/16 points (Critical Zone)

Special Factors

1. Composite Bubble Stocks, crypto, NFTs, SPACs simultaneously erupting, capital swirling

2. Memeification Investment decisions shift from "fundamentals" to "memes" and "community" (GME, DOGE)

3. Zero-Rate Side Effects "Risk-free rate = 0" → illusion that theoretical price of all assets approaches ∞

Lessons

1. End of Monetary Easing = Bubble Collapse Trigger Reversal moment Fed turned hawkish (November 2021)

2. Multi-Asset Simultaneous Bubbles Amplify Danger Correlation approaches 1.0 → diversification benefit vanishes

3. Meme Investment Limits Short-term crowd frenzy unsustainable, fundamental reversion inevitable

---

Common Patterns

Pattern 1: Trigger Always "Monetary Policy Shift"

Pattern 2: Bubble Stage Time Allocation

Typical Bubble Cycle (total 18-36 months):
Displacement:   20% of duration (tech innovation, policy change)
Boom:           40% of duration (rational expansion)
Euphoria:       30% of duration (exuberance)
Profit Taking:  5% of duration (caution period)
Panic:          5% of duration (crash)

Important: Euphoria occupies 1/3 of total = source of "lasts too long" impression

Pattern 3: Staged Social Penetration Expansion

Phase 1: Experts, early adopters (institutional investors, tech enthusiasts)
    ↓ 1-2 years
Phase 2: Educated class, white-collar workers (doctors, lawyers, salarymen)
    ↓ 6-12 months
Phase 3: General public (taxi drivers, housewives, students)
    ↓ 1-3 months
Peak reached

Lesson: When Phase 3 detected, 1-3 months remaining

Pattern 4: Media Role

Boom Period:

• Cautiously optimistic "expert views"
• Risks also mentioned

Euphoria Period:

• FOMO incitement: "Don't miss out"
• Over-exposure of success stories
• Risk warners labeled "outdated"

Panic Period:

• Flip to pessimism
• "Who's to blame" witch hunt

Pattern 5: Price Patterns

Uptrend:

Stage 1: Gradual rise (+15-25% annual)
Stage 2: Acceleration (+40-60% annual)
Stage 3: Parabolic (100%+ in months)
         ↑ Public entry here

Downtrend:

Stage 1: Correction (-10-15%) → "buying opportunity" perception
Stage 2: Failed bounce, double top forms
Stage 3: Collapse (-50%+) → Panic

Pattern 6: "This Time Is Different" Excuse Patterns

Lesson: When "this time is different" becomes the mantra, historical repetition is near

---

Application to Practice

Case Study: Ideal Response During 2017 Crypto Bubble

Premise: Purchased Bitcoin in January 2017 at $1k with $1,000

Actual Price Progression:

• June: $3k (+200%)
• August: $5k (+400%)
• November: $10k (+900%)
• December 17: $19.8k (+1,880%, peak)
• December 2018: $3.2k (-84% from peak)

Scenario A: "Perfect Timing" Illusion (Impossible to Execute)

Sell everything at $19.8k = $19,800 profit

Problem: Cannot predict peak in advance, pure luck

Scenario B: Stair-Step Profit-Taking (Executable)

$3k   → Sell 25% = $750 (remaining $2,250 invested)
$5k   → Sell 25% = $1,250 (remaining $1,500 invested)
$10k  → Sell 25% = $2,500 (remaining $750 invested)
$15k  → Sell 25% = $3,750 (position fully closed)

Total Profit: $8,250 vs Peak: 42% (less than half of perfect) But: Reliably executable, psychologically stable

Scenario C: ATR Trailing Stop (Executable + Upside Capture)

• Early December 2017, ATR (20-day) ≈ $1,500
• Using coefficient 1.5: Stop = $10,000 - ($1,500 × 1.5) = $7,750
• December 17 peak $19,800 → Stop updated: $19,800 - $2,250 = $17,550
• Decline starts → Sell all at $17,550

Total Profit: $16,550 (-11% from peak exit) Benefits: Maximum upside capture, early decline exit

Integrated Lessons

1. Abandon "Perfection" Peak selling impossible. Aim for "satisfaction" with stair-step profit-taking

2. Mechanical Rule Superiority ATR trailing eliminates emotion, exits early in bubble collapse

3. Flexibility by Bubble Stage

• Boom period: Stair-step profit-taking (conservative)
• Euphoria period: ATR trailing (aggressive)
• Panic signs: Immediate exit (defensive)

4. Managing Post-Hoc Regret Evaluation criterion: "secure profit capture" not "could have made more"

Bubble Detector Implementation Guide (Revised v2.0)

Required Checklist Before Use

Pre-verification

□ User is asking "Is it a bubble?"
□ Objective evaluation is requested (not impressions)
□ You have time to collect measured data

---

Step-by-Step Evaluation Process

Step 1: Identify Market and Verify Data Sources

For US Market:

Required Data Sources:
1. CBOE - Put/Call ratio, VIX
2. FINRA - Margin debt balance
3. Renaissance Capital - IPO statistics
4. Barchart/TradingView - Breadth indicators

For Japanese Market:

Required Data Sources:
1. Barchart - Nikkei Futures Options P/C
2. Investing.com - JNIVE (Nikkei VI)
3. JSF - Margin debt balance
4. MacroMicro - TOPIX Breadth
5. PwC - Global IPO Watch

Step 2: Quantitative Data Collection (MANDATORY)

Use web_search to collect the following in order:

# US Market Example
queries = [
    "CBOE put call ratio current",  # P/C ratio
    "VIX index current level",       # VIX
    "FINRA margin debt latest",      # Margin debt
    "S&P 500 breadth 50 day MA",     # Breadth
    "Renaissance IPO market 2025",   # IPO statistics
]

# Japanese Market Example
queries_japan = [
    "Nikkei 225 futures options put call ratio",
    "Nikkei Volatility Index JNIVE current",
    "JSF margin trading balance latest",
    "TOPIX constituent stocks 200 day moving average",
    "Japan IPO market 2025 statistics",
]

Important: Collect specific numerical values for each search

• ❌ "VIX is at low levels" → Insufficient
• ✅ "VIX is 15.3" → OK

Step 3: Organize and Verify Data

Organize collected data in table format:

| Indicator | Collected Value | Source | Collection Date |
|-----------|----------------|---------|----------------|
| Put/Call | 0.95 | CBOE | 2025-10-27 |
| VIX | 15.3 | Yahoo Finance | 2025-10-27 |
| Margin YoY | +8% | FINRA | 2025-09 |
| Breadth (50DMA) | 68% | Barchart | 2025-10-27 |
| IPO Count | 45/Q3 | Renaissance | 2025 Q3 |

Verification Points:

• □ All indicators have specific numerical values
• □ Sources are reliable
• □ Data is recent (within 1 week)

Step 4: Mechanical Scoring

Score mechanically by referring to threshold tables:

Indicator 1: Put/Call = 0.95
  → 0.95 > 0.85 → 0 points

Indicator 2: VIX = 15.3 + near highs
  → VIX > 15 → 0 points

Indicator 3: Margin YoY = +8%
  → +8% < +10% → 0 points

Indicator 4: IPO = 45 count (5-year average 35)
  → 45/35 = 1.29x < 1.5x → 0 points

Indicator 5: Breadth = 68%
  → 68% > 60% → 0 points

Indicator 6: Price Acceleration (requires calculation)
  → Past 3 months +12%, 75th percentile in 10-year distribution → 0 points

Phase 2 Total: 0 points

Step 5: Qualitative Adjustment (Upper limit +3 points, STRICT CRITERIA)

⚠️ CRITICAL: Qualitative adjustments require MEASURABLE evidence. Subjective impressions are NOT allowed.

Confirmation Bias Prevention Checklist:

Before adding any qualitative points, verify:
□ Do you have concrete, measurable data? (not impressions)
□ Would an independent observer reach the same conclusion?
□ Are you avoiding double-counting with Phase 2 quantitative scores?
□ Have you documented the specific evidence?

A. Social Penetration (0-1 points):

REQUIRED EVIDENCE (all three must be present for +1 point):
✓ Direct user report: "Non-investor asked me about [asset]"
✓ Specific examples: Names, dates, conversations
✓ Multiple independent sources (minimum 3)

Scoring:
+1 point: All three criteria met (taxi driver/barber investment advice)
+0 points: Any criteria missing

Example of VALID evidence:
"User reported: 'My barber asked me about NVDA stock on Nov 1.
My dentist mentioned AI stocks on Nov 2.
My Uber driver discussed crypto on Nov 3.'"

Example of INVALID evidence:
"AI narrative is prevalent" (too vague, unmeasurable)

B. Media/Search Trends (0-1 points):

REQUIRED EVIDENCE (measurable data only):
✓ Google Trends data showing 5x+ increase YoY
✓ Mainstream media coverage count (Time/Newsweek covers, TV specials)
✓ Web search data from multiple sources confirming saturation

Scoring:
+1 point: Search trends 5x+ baseline AND mainstream coverage confirmed
+0 points: Search trends <5x OR no mainstream coverage confirmation

⚠️ CRITICAL: "Elevated narrative" without data = +0 points

How to verify:
1. Use Google Trends API or web search for "[topic] search volume 2025"
2. Search for "[topic] Time magazine cover" or "[topic] CNBC special"
3. Document specific numbers and dates

Example of VALID evidence:
"Google Trends shows 'AI stocks' at 780 (baseline 150 = 5.2x).
Time Magazine cover 'The AI Revolution' (Oct 15, 2025).
CNBC aired 'AI Investment Special' (3 episodes in Oct 2025)."

Example of INVALID evidence:
"AI/technology narrative seems elevated" (unmeasurable)

C. Valuation Disconnect (0-1 points):

⚠️ WARNING: Avoid double-counting with Phase 2 quantitative scores

REQUIRED EVIDENCE:
✓ P/E ratio >25 (if not already counted in Phase 2)
✓ Narrative explicitly ignores fundamentals
✓ "This time is different" reasoning documented in mainstream media

Scoring:
+1 point: P/E >25 AND fundamentals actively ignored in public discourse
+0 points: High P/E but fundamentals support valuation

Self-check questions:
- Is this already captured in Phase 2 quantitative scoring? If yes, +0 points
- Do companies have real earnings supporting valuations? If yes, +0 points
- Is the narrative backed by fundamental improvements? If yes, +0 points

Example of VALID evidence for +1 point:
"S&P 500 P/E = 35x (vs. historical 18x).
Mainstream articles: 'Earnings don't matter in AI era' (CNBC, Oct 2025).
'Traditional valuation metrics obsolete' (Bloomberg, Nov 2025)."

Example of INVALID evidence:
"P/E 30.8 but AI has fundamental backing" (fundamentals support valuation = +0)

Phase 3 Adjustment Calculation:

Maximum possible: +3 points (1+1+1)

Common mistakes to avoid:
❌ Adding points based on "feeling" or "sense"
❌ Double-counting valuation already in Phase 2
❌ Accepting narrative claims without measuring data
✅ Require concrete, independently verifiable evidence
✅ Document specific sources and dates
✅ Apply strict interpretation standards

Step 6: Final Judgment and Report

# [Market Name] Bubble Evaluation Report (Revised v2.0)

## Overall Assessment
- Final Score: 0/16 points
- Phase: Normal
- Risk Level: Low
- Evaluation Date: 2025-10-27

## Quantitative Data (Phase 2)

| Indicator | Measured Value | Score | Rationale |
|-----------|----------------|-------|-----------|
| Put/Call | 0.95 | 0 pts | > 0.85 healthy |
| VIX + Highs | 15.3 | 0 pts | > 15 normal |
| Margin YoY | +8% | 0 pts | < +10% normal |
| IPO Heat | 1.29x | 0 pts | < 1.5x |
| Breadth | 68% | 0 pts | > 60% healthy |
| Price Accel | 75th %ile | 0 pts | < 85th %ile |

**Phase 2 Total: 0 points**

## Qualitative Adjustment (Phase 3)

- Social Penetration: No user reports (+0 pts)
- Media: Google Trends 1.8x (+0 pts)
- Valuation: P/E 21x (+0 pts)

**Phase 3 Adjustment: +0 points**

## Recommended Actions

**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: 0/7 met

---

NG Examples vs OK Examples

NG Example 1: No Data Collection

❌ Bad Evaluation:
"Many Takaichi Trade reports"
"Experts warn of overheating"
→ Media saturation 2 points

✅ Good Evaluation:
[web_search: "Google Trends Japan stocks Takaichi"]
Result: 1.8x year-over-year
→ Google Trends adjustment +0 points (below 3x)

NG Example 2: Scoring Based on Impressions

❌ Bad Evaluation:
"VIX seems to be at low levels"
→ Volatility suppression 2 points

✅ Good Evaluation:
[web_search: "VIX current level"]
Result: VIX 15.8
→ VIX > 15 = 0 points

NG Example 3: Emotional Reaction to Price Rise

❌ Bad Evaluation:
"2,100 yen rise in one day is abnormal"
→ Price acceleration 2 points

✅ Good Evaluation:
[Verify daily return distribution over past 10 years]
4.5% rise = 80th percentile over past 10 years (rare but not extreme)
→ Price acceleration 0 points

---

Self-Check: Quality of Evaluation

After completing evaluation, verify the following:

□ Did you collect data for all indicators in Phase 1?
  - Put/Call: [  ]
  - VIX: [  ]
  - Margin: [  ]
  - Breadth: [  ]
  - IPO: [  ]
  - Price Distribution: [  ]

□ Does each score have measured value basis?
  - Have you excluded impressions like "many reports"?

□ Did you keep qualitative adjustment within +5 point limit?
  - Adjustment A: [  ] points
  - Adjustment B: [  ] points
  - Adjustment C: [  ] points
  - Total ≤ 5 points?

□ Is the final score reasonable?
  - Compare with other quantitative frameworks
  - Re-verify if there is a difference of 10+ points

---

Evaluation Quality Judgment Criteria

Level 1: Failed (Insufficient Data)

- Quantitative data collection for 3 or fewer of 6 indicators
- Scoring based on impressions
- No source documentation

Level 2: Pass Minimum (Needs Improvement)

- Quantitative data collection for 4-5 of 6 indicators
- Some impression-based evaluation mixed in
- Source documentation present but incomplete

Level 3: Good (Recommended Level)

- Quantitative data collection for all 6 indicators
- Mechanical scoring implemented
- Source and date for all data
- Qualitative adjustment is conservative (+2 points or less)

Level 4: Excellent (Best Practice)

- Perfect quantitative data collection
- Comparative analysis with historical data
- Cross-check with multiple sources
- Consistency check with quantitative frameworks
- Explicit statement of uncertainties

---

Evaluation Report Template

# [Market Name] Bubble Evaluation Report v2.0

**Evaluation Date:** YYYY-MM-DD
**Evaluator Confidence:** [0-100]
**Data Completeness:** [0-100]%

---

## Executive Summary

**Conclusion:** [One-sentence conclusion]
**Score:** X/16 points ([Normal/Caution/Euphoria/Critical])
**Recommendation:** [Concise action]

---

## Quantitative Evaluation (Phase 2)

[Table of 6 indicators]

**Phase 2 Total:** X points

---

## Qualitative Adjustment (Phase 3)

[3 adjustment items]

**Phase 3 Adjustment:** +Y points

---

## Final Judgment

**Final Score:** X + Y = Z points
**Risk Budget:** [0-100]%
**Recommended Actions:**
1. [Specific action 1]
2. [Specific action 2]
3. [Specific action 3]

---

## Data Quality Notes

**Collected Data:**
- [Indicator name]: [value] ([source], [date])
- ...

**Limitations:**
- [Document if there are data constraints]

**Confidence Level:**
- Confidence in this evaluation: [reason]

---

Red Flags During Review

If any of the following are observed, redo the evaluation:

🚩 "Many reports" → No numbers
🚩 "Experts are cautious" → No quantitative data
🚩 "Obviously too high" → Subjective judgment
🚩 Score 10+ points but Put/Call > 1.0
🚩 Score 10+ points but VIX > 20
🚩 Score 10+ points but Margin YoY < +15%
🚩 No data source documentation
🚩 No collection date documentation

---

Reference Materials

Data Analysis Principles

• "In God we trust; all others must bring data." - W. Edwards Deming
• "Without data, you're just another person with an opinion." - W. Edwards Deming

Guarding Against Biases

• Confirmation bias: Collecting only information that supports your hypothesis
• Availability bias: Overweighting recently seen information
• Narrative fallacy: Oversimplifying causal relationships with stories

---

Final Check

Before submitting evaluation:

□ All quantitative data have numerical values
□ All data have sources and dates
□ Excluded impressions and emotional expressions
□ Scored mechanically
□ Qualitative adjustment is conservative (+2 points or less recommended)
□ Consistency verified with other quantitative frameworks
□ Uncertainties explicitly stated

If all of these are ✓, you are ready to report.

---

Last Updated: 2025-10-27 Next Review: Reflect feedback after actual evaluation implementation

Bubble Detection Quick Reference (English)

Daily Checklist (5 minutes)

Morning Routine (Before Market Open)

□ Step 1: Update Bubble-O-Meter (2 min)
   - Score 8 indicators (0-2 points each)
   - Check risk budget based on total score

□ Step 2: Position Management (2 min)
   - Update ATR trailing stops
   - Check stair-step profit targets
   - Evaluate new entry eligibility

□ Step 3: Signal Check (1 min)
   - Media/Social trends (Google Trends, Twitter)
   - Major indices distance from 52-week highs
   - VIX & Put/Call ratio

---

Emergency Assessment: 3 Questions

When uncertain about an investment decision, answer these 3 questions:

Q1: "Are non-investors recommending it?"

• YES → Mass penetration complete, likely late stage
• NO → Still early to mid stage

Q2: "Has the narrative become 'common sense'?"

• YES → Euphoria stage, contrarian views socially unacceptable
• NO → Healthy skepticism still functions

Q3: "Is 'this time is different' the catchphrase?"

• YES → Classic historical bubble signal
• NO → Healthy caution still present

All 3 YES → Critical zone, prioritize profit-taking/exit

---

Action Matrix by Bubble Phase

---

8 Indicators Quick Scoring

1. Mass Penetration

0 pts: Investors only
1 pt: General awareness but investment limited
2 pts: Taxi drivers/family recommending

2. Media Saturation

0 pts: Normal coverage
1 pt: Search trends 2-3x normal
2 pts: TV specials/magazine covers, 5x+ search spike

3. New Accounts & Inflows

0 pts: Normal account openings
1 pt: 50-100% YoY increase
2 pts: 200%+ YoY, first-time investor flood

4. New Issuance Flood

0 pts: Normal IPO volume
1 pt: IPO/SPAC/ETFs up 50%+
2 pts: Low-quality IPO flood, "theme" fund proliferation

5. Leverage Indicators

0 pts: Margin debt in normal range
1 pt: Margin debt 1.5x average
2 pts: All-time high margin, funding rates elevated, extreme positioning

6. Price Acceleration

0 pts: Annualized returns near historical median
1 pt: Returns exceed 90th percentile
2 pts: Returns at 95-99th percentile, or positive second derivative

7. Valuation Disconnect

0 pts: Fundamentally explainable
1 pt: High valuation but "growth expectations" provide cover
2 pts: Pure "narrative" dependent, fundamentals ignored

8. Breadth & Correlation

0 pts: Only leader stocks rising
1 pt: Sector-wide participation
2 pts: Low-quality/zombie companies rising (last buyers in)

---

Profit-Taking Strategy Templates

Template 1: Stair-Step (Conservative)

Position: $10,000 initial investment
Targets: +20%, +40%, +60%, +80%

+20% ($12,000) → Sell 25% = $3,000 secured
+40% ($14,000) → Sell 25% = $3,500 secured
+60% ($16,000) → Sell 25% = $4,000 secured
+80% ($18,000) → Sell 25% = $4,500 secured

Total profit secured: $15,000 (+50% equivalent)

Template 2: ATR Trailing (Aggressive)

def calculate_trailing_stop(current_price, atr_20d, bubble_phase):
    """
    Calculate trailing stop based on bubble phase

    bubble_phase: 'normal', 'caution', 'euphoria', 'critical'
    """
    multipliers = {
        'normal': 2.0,
        'caution': 1.8,
        'euphoria': 1.5,
        'critical': 1.2
    }
    multiplier = multipliers.get(bubble_phase, 2.0)
    stop_price = current_price - (atr_20d * multiplier)
    return stop_price

Template 3: Hybrid (Recommended)

Stage 1 (Boom):
  → Stair-step reduces 50% of position

Stage 2 (Euphoria):
  → Apply ATR trailing to remaining 50%, ride upside

Stage 3 (Panic signals):
  → Exit immediately when ATR stop hit

---

Short-Selling Timing Decision (Critical)

❌ Absolutely Avoid: Early Contrarian

Reason: Often 2-3x further rise after "obviously too high"
Risk: "Markets can remain irrational longer than you can remain solvent"

✅ Recommended: After Composite Conditions Met

Need at least 3 of 7 conditions before considering:

1. □ Weekly chart shows clear lower highs 2. □ Volume peaked out (3 weeks declining) 3. □ Leverage metrics drop sharply (margin debt -20%+) 4. □ Media/search trends peaked out 5. □ Weak stocks in sector breaking down first 6. □ VIX spike (+30%+) 7. □ Fed or policy reversal signals

Execution example:

Conditions check:
[✓] 1. Weekly lower highs
[✓] 2. Volume declining 3 weeks
[×] 3. Margin debt still elevated
[✓] 4. Google trends -40%
[×] 5. Still broad rally
[✓] 6. VIX +35% spike
[×] 7. No policy change

→ 4/7 met, short consideration OK
→ Small size (25% of normal) test entry

---

Common Failure Patterns & Solutions

Failure 1: "Too late" mentality, perpetual waiting

Psychology: Regret aversion (FOMO about missing out) Solution:

• Run Bubble-O-Meter when feeling too late
• If score ≤8, small entry OK
• If score ≥9, correct to wait

Failure 2: Re-entry after taking profits (buying high)

Psychology: Hindsight bias ("I knew it would go up") Solution:

• 72-hour re-entry ban after profit-taking
• Re-entry only after Bubble-O-Meter check

Failure 3: "Still going up" paralysis on profit-taking

Psychology: Greed + Overconfidence Solution:

• Automate stair-step (preset limit orders)
• Target "satisfaction" not "perfection"

Failure 4: Premature short selling

Psychology: Subjective "obviously too high" Solution:

• Mechanically check composite conditions
• Wait for minimum 3 conditions

---

Emergency Response Flowchart

Market shock detected
    ↓
Q: Have positions?
    ↓YES
Q: Down -5%+ ?
    ↓YES
Q: ATR stop hit?
    ↓YES
→ Sell immediately (no debate)

    ↓NO (stop not hit)
Q: Bubble-O-Meter 13+?
    ↓YES
→ Consider 75%+ profit-taking

    ↓NO (score ≤12)
Q: VIX spike +30%+?
    ↓YES
→ Take 50% profits, tighten stops on rest

    ↓NO
→ Normal monitoring, stay calm

---

Golden Rules (Post on Your Wall)

1. Watch the process, not the price

2. When taxi drivers talk stocks, exit

3. "This time is different" is the same every time

4. Mechanical rules protect your psychology

5. Short after confirmation, take profits early

6. When skepticism hurts socially, the end begins

7. Aim for satisfaction, abandon perfection

8. Bubbles last longer than expected, crashes faster

9. Leverage is an express ticket to ruin

10. "Markets can remain irrational longer than you can remain solvent"

---

Key Data Sources

Instantly Accessible Indicators

API-Accessible for Automation

# Example: Google Trends (pytrends)
from pytrends.request import TrendReq
pytrends = TrendReq()
pytrends.build_payload(['SPY', 'stock market'])
data = pytrends.interest_over_time()

# Example: VIX (yfinance)
import yfinance as yf
vix = yf.Ticker('^VIX')
current_vix = vix.history(period='1d')['Close'].iloc[-1]

---

Further Learning

Books

• "Manias, Panics, and Crashes" - Charles Kindleberger
• "Irrational Exuberance" - Robert Shiller
• "The Alchemy of Finance" - George Soros

Research

• Hyman Minsky's Financial Instability Hypothesis
• Behavioral Finance classics

Data & Tools

• TradingView: Charts & technical indicators
• FRED (Federal Reserve): Economic time series
• Finviz: Screening & heatmaps
• Google Trends: Social trends

---

Last Updated: 2025 Edition License: Educational/personal use only

Bubble Detection Quick Reference

Daily Checklist (Complete in 5 Minutes)

Morning Routine (Before Market Open)

□ Step 1: Update Bubble-O-Meter (2 minutes)
   - Score 8 indicators on 0-2 scale
   - Confirm risk budget based on total score

□ Step 2: Position Management (2 minutes)
   - Update ATR trailing stops
   - Check if stair-step profit-taking targets reached
   - Determine new entry eligibility

□ Step 3: Signal Confirmation (1 minute)
   - Media/social media trends (Google Trends, Twitter)
   - Major indices' distance from 52-week highs
   - VIX & Put/Call ratio

---

Emergency Assessment: 3 Questions

When uncertain about investment decisions, answer these 3 questions:

Q1: "Are non-investors recommending?"

• YES → Mass penetration complete, likely late stage
• NO → Still early-to-mid stage

Q2: "Has the narrative become 'common sense'?"

• YES → Euphoria stage, dissent socially unacceptable
• NO → Skeptical views still tolerated, healthy state

Q3: "Is 'this time is different' the mantra?"

• YES → Historically typical bubble sign
• NO → Healthy caution still functioning

All 3 YES → Critical zone, prioritize profit-taking/exit

---

Action Matrix by Bubble Stage (REVISED v2.1)

Note: Maximum score reduced from 16 to 15 points (Phase 2: max 12, Phase 3: max 3)

---

Quick Scoring for 8 Indicators

1. Mass Penetration

0 points: Investors only
1 point: General awareness but investment still limited
2 points: Taxi drivers/family recommending

2. Media Saturation

0 points: Normal coverage level
1 point: Search trends 2-3x
2 points: TV specials/magazine covers, searches 5x+

3. New Entrants

0 points: Normal account opening pace
1 point: 50-100% YoY increase
2 points: 200%+ YoY, beginner flood

4. Issuance Flood

0 points: Normal IPO count
1 point: 50% increase in IPOs/related products
2 points: Low-quality IPOs, theme ETF proliferation

5. Leverage

0 points: Normal range
1 point: Margin balance 1.5x
2 points: All-time high, funding rates elevated

6. Price Acceleration

0 points: Near historical median
1 point: Exceeds 90th percentile
2 points: 95-99th percentile or accelerating

7. Valuation Disconnect

0 points: Explainable by fundamentals
1 point: High valuation but explained by growth expectations
2 points: Completely "narrative"-dependent, fundamentals ignored

8. Correlation & Breadth

0 points: Only some leaders rising
1 point: Sector-wide spread
2 points: Even low-quality/zombie companies rallying

---

Key Data Sources

Instantly Checkable Indicators

API-Accessible Auto-Retrieval

# Example: Google Trends (pytrends)
from pytrends.request import TrendReq
pytrends = TrendReq()
pytrends.build_payload(['SPY', 'stock market'])
data = pytrends.interest_over_time()

# Example: VIX (yfinance)
import yfinance as yf
vix = yf.Ticker('^VIX')
current_vix = vix.history(period='1d')['Close'].iloc[-1]

---

Profit-Taking Strategy Templates

Template 1: Stair-Step Profit-Taking (Conservative)

Position: $10,000 initial investment
Targets:  +20%, +40%, +60%, +80%

+20% ($12,000) → Sell 25% = $3,000 secured
+40% ($14,000) → Sell 25% = $3,500 secured
+60% ($16,000) → Sell 25% = $4,000 secured
+80% ($18,000) → Sell 25% = $4,500 secured

Total profits: $15,000 (+50% equivalent)

Template 2: ATR Trailing (Aggressive)

def calculate_trailing_stop(current_price, atr_20d, bubble_phase):
    """
    Calculate trailing stop based on bubble stage

    bubble_phase: 'normal', 'caution', 'euphoria', 'critical'
    """
    multipliers = {
        'normal': 2.0,
        'caution': 1.8,
        'euphoria': 1.5,
        'critical': 1.2
    }
    multiplier = multipliers.get(bubble_phase, 2.0)
    stop_price = current_price - (atr_20d * multiplier)
    return stop_price

# Usage example
current_price = 450.0
atr_20d = 10.0  # Average True Range over 20 days
bubble_phase = 'euphoria'

stop = calculate_trailing_stop(current_price, atr_20d, bubble_phase)
print(f"Trailing Stop: ${stop:.2f}")
# Output: Trailing Stop: $435.00

Template 3: Hybrid (Recommended)

Stage 1 (Boom period):
  → Reduce 50% of position via stair-step profit-taking

Stage 2 (Euphoria period):
  → Apply ATR trailing to remaining 50%, follow upside

Stage 3 (Panic signs):
  → Exit immediately when ATR stop hit

---

Short-Selling Timing Assessment (Critical)

❌ Absolutely NG: Early Contrarian

Reason: Normal for prices to rise 2-3x more after feeling "too high"
Risk: "Markets can remain irrational longer than you can remain solvent"

✅ Recommended: After Composite Conditions Clear

Consider starting when at least 3 apply:

1. □ Weekly chart shows clear lower highs 2. □ Volume peaks out (3 consecutive weeks declining) 3. □ Sharp drop in leverage indicators (margin balance -20%+) 4. □ Media/search trends peak out 5. □ Weak stocks within sector start breaking down first 6. □ VIX surges (+30%+) 7. □ Fed/policy shift signals

Execution Example:

Condition Check:
[✓] 1. Weekly lower highs forming
[✓] 2. Volume declining 3 weeks straight
[×] 3. Margin balance still elevated
[✓] 4. Google search trends -40%
[×] 5. Still broad rally continuing
[✓] 6. VIX +35% surge
[×] 7. No policy changes

→ 4/7 met, shorts consideration OK
→ Small position (25% of normal) for test entry

---

Common Failure Patterns & Solutions

Failure 1: "Too late" paralysis, missing opportunities

Psychology: Regret aversion (fear of being late) Solution:

• Conduct Bubble-O-Meter when feeling "too late"
• Score ≤8: Small position entry OK
• Score ≥9: Correct to stay out

Failure 2: Re-entry after profit-taking (buying high)

Psychology: Hindsight bias ("knew it would go higher") Solution:

• 72-hour no re-entry rule after profit-taking
• Re-entry decisions only after Bubble-O-Meter check

Failure 3: Can't take profits due to "still rising"

Psychology: Greed + Overconfidence Solution:

• Automate stair-step profit-taking (pre-set limit orders)
• Aim for "satisfaction," abandon "perfection"

Failure 4: Too-early shorts

Psychology: Subjective "obviously too high" judgment Solution:

• Mechanically verify composite conditions
• Wait for minimum 3 conditions to clear

---

Emergency Response Flowchart

Detect market volatility
    ↓
Q: Have positions?
    ↓YES
Q: Down -5% or more?
    ↓YES
Q: ATR stop reached?
    ↓YES
→ Sell immediately (no debate)

    ↓NO (Stop not reached)
Q: Bubble-O-Meter score 13+?
    ↓YES
→ Consider 75%+ profit-taking

    ↓NO (Score ≤12)
Q: VIX surge +30%+?
    ↓YES
→ 50% profit-taking, tighten remaining stops

    ↓NO
→ Business as usual, continue calm observation

---

Golden Rules (10 Commandments to Post on Wall)

1. See process, not price

2. When taxi drivers talk stocks, exit

3. "This time is different" is always the same

4. Mechanical rules protect psychology

5. Short after confirmation, take profits early

6. When skepticism hurts, the end begins

7. Aim for satisfaction, abandon perfection

8. Bubbles last longer than expected, collapses are faster

9. Leverage is an express ticket to ruin

10. "Markets can remain irrational longer than you can remain solvent"

---

Resources for Further Learning

Books

• "Manias, Panics, and Crashes" - Charles Kindleberger
• "Irrational Exuberance" - Robert Shiller
• "The Alchemy of Finance" - George Soros

Research

• Hyman Minsky's Financial Instability Hypothesis
• Classic papers in Behavioral Finance

Data & Tools

• TradingView: Charts and technical indicators
• FRED (Federal Reserve): Economic indicator time series
• Finviz: Screening and heatmaps
• Google Trends: Social trends

---

Last Updated: 2025 Edition License: Educational and personal use only, redistribution prohibited