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
- ✅ 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
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
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)
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1.2 Leverage & Positioning Data
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1.3 IPO & New Issuance Data
CODEBLOCK2
⚠️ CRITICAL: Do NOT proceed with evaluation without Phase 1 data collection
Phase 2: Quantitative Evaluation (Quantitative Scoring)
Score mechanically based on collected data using the following criteria:
Indicator 1: Put/Call Ratio (Market Sentiment)
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Indicator 2: Volatility Suppression + New Highs
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Indicator 3: Leverage (Margin Debt Balance)
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Indicator 4: IPO Market Overheating
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Indicator 5: Breadth Anomaly (Narrow Leadership)
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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
Phase 3: Qualitative Adjustment (REVISED v2.1)
Limit: +3 points maximum (REDUCED from +5 in v2.0)
⚠️ CONFIRMATION BIAS PREVENTION CHECKLIST:
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Adjustment A: Social Penetration (0-1 points, STRICT CRITERIA)
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Adjustment B: Media/Search Trends (0-1 points, REQUIRES MEASUREMENT)
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Adjustment C: Valuation Disconnect (0-1 points, AVOID DOUBLE-COUNTING)
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Phase 3 Total: Maximum +3 points
Phase 4: Final Judgment (REVISED v2.1)
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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
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
Implementation Checklist
Verify the following when using:
CODEBLOCK14
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.
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
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
Composite Conditions for Short-Selling (7 Items)
Only consider shorts after confirming at least 3 of the following:
CODEBLOCK15
Output Format
Evaluation Report Structure (v2.1)
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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 INLINECODE5
- Need theoretical background: Load INLINECODE6
- Need historical context: Load INLINECODE7
- Daily operations: Load
quick_reference.md (Japanese) or quick_reference_en.md (English)
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
- 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.
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.
美国市场泡沫检测技能(修订版 v2.1)
v2.1 主要修订内容
v2.0 关键变更:
- 1. ✅ 强制量化数据收集 - 使用测量值,而非印象或推测
- ✅ 明确阈值设定 - 每项指标均有具体数值标准
- ✅ 两阶段评估流程 - 量化评估 → 定性调整(严格顺序)
- ✅ 更严格的定性标准 - 最高+3分(从+5分下调),需可测量证据
- ✅ 确认偏差预防 - 明确检查清单,避免过度评分
- ✅ 细化风险阶段 - 新增风险升高阶段(8-9分),实现精细化风险管理
何时使用本技能
在以下情况下使用本技能:
英文:
- - 用户询问市场是否处于泡沫?或我们是否在泡沫中?
- 用户寻求关于获利了结、新入场时机或做空决策的建议
- 用户报告社会现象(非投资者入场、媒体狂热、IPO泛滥)
- 用户提及这次不一样或革命性技术等叙事成为主流
- 用户咨询现有持仓的风险管理
日文:
- - 用户询问现在的行情是泡沫吗?
- 寻求投资获利了结、新入场、做空的时机判断
- 观察社会现象(非投资者入场、媒体过热、IPO泛滥)并表达担忧
- 报告这次不一样革命性技术等叙事成为主流的情况
- 咨询持有仓位的风险管理方法
评估流程(严格顺序)
第一阶段:强制量化数据收集
关键:在开始评估前务必收集以下数据
1.1 市场结构数据(最高优先级)
□ 看跌/看涨比率(CBOE股票P/C)
- 来源:CBOE DataShop 或 web_search CBOE put call ratio
- 收集:5日移动平均线
□ VIX(恐惧指数)
- 来源:雅虎财经 ^VIX 或 web_search VIX current
- 收集:当前值 + 过去3个月百分位
□ 波动率指标
- 21日已实现波动率
- VIX历史位置(判断是否处于最低10%百分位)
1.2 杠杆与持仓数据
□ FINRA保证金债务余额
- 来源:web_search FINRA margin debt latest
- 收集:最新月份 + 同比百分比变化
□ 广度(市场参与度)
- 标普500指数中高于50日移动平均线的股票百分比
- 来源:web_search S&P 500 breadth 50 day moving average
1.3 IPO与新发行数据
□ IPO数量及首日表现
- 来源:Renaissance Capital IPO 或 web_search IPO market 2025
- 收集:季度数量 + 首日回报中位数
⚠️ 关键:未完成第一阶段数据收集,不得进入评估
第二阶段:量化评估(量化评分)
根据收集的数据,按以下标准机械评分:
指标1:看跌/看涨比率(市场情绪)
评分标准:
- - 2分:P/C < 0.70(过度乐观,看涨期权偏多)
- 1分:P/C 0.70-0.85(略微乐观)
- 0分:P/C > 0.85(健康的谨慎)
理由:P/C < 0.7 历史上是泡沫时期的特征
指标2:波动率抑制 + 创新高
评分标准:
- - 2分:VIX < 12 且 主要指数距52周高点5%以内
- 1分:VIX 12-15 且 接近高点
- 0分:VIX > 15 或 距高点超过10%
理由:极低波动率 + 高点表明过度自满
指标3:杠杆(保证金债务余额)
评分标准:
- - 2分:同比+20%或以上 且 创历史新高
- 1分:同比+10-20%
- 0分:同比+10%或以下 或 负增长
理由:杠杆快速上升是泡沫前兆
指标4:IPO市场过热
评分标准:
- - 2分:季度IPO数量 > 5年均值2倍 且 首日回报中位数+20%以上
- 1分:季度IPO数量 > 5年均值1.5倍
- 0分:正常水平
理由:低质量IPO泛滥是泡沫后期特征
指标5:广度异常(窄幅领涨)
评分标准:
- - 2分:创新高 且 低于45%的股票高于50日移动平均线(窄幅领涨)
- 1分:45-60%高于50日移动平均线(略窄)
- 0分:超过60%高于50日移动平均线(健康广度)
理由:少数股票驱动的上涨是脆弱的
指标6:价格加速
评分标准:
- - 2分:过去3个月回报率超过过去10年第95百分位
- 1分:过去3个月回报率处于过去10年第85-95百分位
- 0分:低于第85百分位
理由:价格快速加速不可持续
第三阶段:定性调整(修订版 v2.1)
限制:最高+3分(从v2.0的+5分下调)
⚠️ 确认偏差预防检查清单:
在添加任何定性分数之前:
□ 我是否有具体、可测量的数据?(而非印象)
□ 独立观察者是否会得出相同结论?
□ 我是否避免了与第二阶段评分重复计算?
□ 我是否记录了带有来源的具体证据?
调整A:社会渗透(0-1分,严格标准)
+1分:必须满足全部三项标准:
✓ 用户直接报告非投资者的推荐
✓ 具体示例,包含姓名/日期/对话
✓ 多个独立来源(至少3个)
+0分:任何标准缺失
⚠️ 无效示例:
- - AI叙事很普遍(不可测量)
- 我看到关于散户投资者的文章(非直接报告)
- 每个人都在谈论股票(模糊,未验证)
✅ 有效示例:
我的理发师问起NVDA(11月1日),牙医提到AI股票(11月2日),
优步司机讨论加密货币(11月3日)
调整B:媒体/搜索趋势(0-1分,需测量)
+1分:必须满足两项标准:
✓ 谷歌趋势显示同比增长5倍以上(已测量)
✓ 主流媒体报道确认(《时代》封面、电视特别节目,附日期)
+0分:搜索趋势<5倍 或 无主流媒体报道
⚠️ 关键:无数据的叙事升温 = +0分
如何验证:
- 1. 搜索[主题] Google Trends 2025并记录数据
- 搜索[主题] Time magazine cover获取具体日期
- 搜索[主题] CNBC special确认节目信息
✅ 有效示例:
谷歌趋势:AI stocks 为780(基线150 = 5.2倍)。
《时代》封面AI革命(2025年10月15日)。
CNBC AI投资特别节目(2025年10月共3集)。
⚠️ 无效示例:
AI/技术叙事似乎升温(不可测量)
调整C:估值脱节(0-1分,避免重复计算)
+1分:必须满足全部标准:
✓ 市盈率 >25(若未在第二阶段量化中计算)
✓ 基本面在主流讨论中被明确忽视
✓ 这次不一样在主要媒体中有记录
+0分:市盈率 <25 或 基本面支持估值
⚠️ 自我检查问题(若任一答案为是,得分为0):
- - 市盈率是否已在第二阶段量化评分中?
- 公司是否有真实盈利支持估值?
- 叙事是否有基本面改善支撑?
✅ +1分有效示例:
标普500市盈率 = 35倍(对比历史18倍)。
CNBC文章:AI时代盈利不重要(2025年10月)。
彭博社:传统指标已过时(2025年11月)。
⚠️ 无效示例:
市盈率30.8,但公司有真实盈利,AI有基本面支撑
(基本面支持 = +0分)
第三阶段总分:最高+3分
第四阶段:最终判断(修订版 v2.1)
最终得分 = 第二阶段总分(0-12分)+ 第三阶段调整(0至+3分)
范围:0至15分
判断标准(含风险预算):
- - 0-4分:正常(风险预算:100%)
- 5-7分:谨慎(风险预算:70-80%)
- 8-9分:风险升高