Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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.
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.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Critical Changes from v2.0: โ Mandatory Quantitative Data Collection - Use measured values, not impressions or speculation โ Clear Threshold Settings - Specific numerical criteria for each indicator โ Two-Phase Evaluation Process - Quantitative evaluation โ Qualitative adjustment (strict order) โ Stricter Qualitative Criteria - Max +3 points (reduced from +5), requires measurable evidence โ Confirmation Bias Prevention - Explicit checklist to avoid over-scoring โ Granular Risk Phases - Added "Elevated Risk" phase (8-9 points) for nuanced risk management
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: ใฆใผใถใผใใไปใฎ็ธๅ ดใฏใใใซใ?ใใจๅฐใญใ ๆ่ณใฎๅฉ็ขบใปๆฐ่ฆๅๅ ฅใป็ฉบๅฃฒใใฎใฟใคใใณใฐๅคๆญใๆฑใใ ็คพไผ็พ่ฑก(้ๆ่ณๅฎถใฎๅๅ ฅใใกใใฃใข้็ฑใIPOๆฐพๆฟซ)ใ่ฆณๅฏใๆธๅฟตใ่กจๆ ใไปๅใฏ้ใใใ้ฉๅฝ็ๆ่กใใชใฉใฎ็ฉ่ชใไธปๆตๅใใฆใใ็ถๆณใๅ ฑๅ ไฟๆใใธใทใงใณใฎใชในใฏ็ฎก็ๆนๆณใ็ธ่ซ
CRITICAL: Always collect the following data before starting evaluation 1.1 Market Structure Data (Highest Priority) โก Put/Call Ratio (CBOE Equity P/C) - Source: CBOE DataShop or web_search "CBOE put call ratio" - Collect: 5-day moving average โก VIX (Fear Index) - Source: Yahoo Finance ^VIX or web_search "VIX current" - Collect: Current value + percentile over past 3 months โก Volatility Indicators - 21-day realized volatility - Historical position of VIX (determine if in bottom 10th percentile) 1.2 Leverage & Positioning Data โก FINRA Margin Debt Balance - Source: web_search "FINRA margin debt latest" - Collect: Latest month + Year-over-Year % change โก 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 โก IPO Count & First-Day Performance - Source: Renaissance Capital IPO or web_search "IPO market 2025" - Collect: Quarterly count + median first-day return โ ๏ธ CRITICAL: Do NOT proceed with evaluation without Phase 1 data collection
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
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
Verify the following when using: โก Have you collected all Phase 1 data? โก Did you apply each indicator's threshold mechanically? โก Did you keep qualitative evaluation within +5 point limit? โก Are you NOT assigning points based on news article impressions? โก Does your final score align with other quantitative frameworks?
Ignore "many news reports" or "experts are cautious" without quantitative data.
Always evaluate in this order: Phase 1 (Data Collection) โ Phase 2 (Quantitative) โ Phase 3 (Qualitative Adjustment).
Qualitative adjustment has a total limit of +5 points. It cannot override quantitative evaluation.
Do not readily acknowledge mass penetration without direct recommendations from non-investors.
โ "Many reports on Takaichi Trade" โ Media saturation 2 points โ Verify Google Trends numbers โ Evaluate with measured values
โ "Warning of overheating" โ Euphoria zone โ Judge with measured values of Put/Call, VIX, margin debt
โ 4.5% rise in 1 day โ Price acceleration 2 points โ Verify position in 10-year distribution โ Objective evaluation
โ P/E 17 โ Valuation disconnect 2 points โ P/E + narrative dependence + other quantitative indicators for comprehensive judgment
Risk Budget: 100% Continue normal investment strategy Set ATR 2.0ร trailing stop Apply stair-step profit-taking rule (+20% take 25%) Short-Selling: Not Allowed Composite conditions not met (0/7 items)
Risk Budget: 70-80% Begin partial profit-taking (20-30% reduction) Tighten ATR to 1.8ร Reduce new position sizing by 50% Short-Selling: Not Recommended Wait for clearer reversal signals
Risk Budget: 50-70% Increase profit-taking (30-50% reduction) Tighten ATR to 1.6ร 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 2.0ร) 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.
Risk Budget: 40-50% Accelerate stair-step profit-taking (50-60% reduction) Tighten ATR to 1.5ร 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)
Risk Budget: 20-30% Major profit-taking or full hedge implementation ATR 1.2ร 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 1.5ร or higher) Consider put options for defined risk
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
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
Detailed theoretical framework Explanation of Minsky/Kindleberger model Behavioral psychology elements
Analysis of past bubble cases Dotcom, Crypto, Pandemic bubbles Common pattern extraction
Daily checklist Emergency 3-question assessment Quick scoring guide Key data sources
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)
v2.0 Problem (Identified Nov 2025): Qualitative adjustment too loose (+5 max) "AI narrative elevated" โ +1 point (no data) "P/E 30.8" โ +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" โ 0 points (unmeasured) "P/E 30.8 but AI has fundamental backing" โ 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. 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.
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