us-market-bubble-detector
Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.
npx skills add BaggaT236/AI-Trading-Skills --skill us-market-bubble-detector --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 --- ## 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
- Key Revisions in v2.1
- When to Use This Skill
- Evaluation Process (Strict Order)
- Phase 1: Mandatory Quantitative Data Collection
- Phase 2: Quantitative Evaluation (Quantitative Scoring)
- Phase 3: Qualitative Adjustment (REVISED v2.1)
- Phase 4: Final Judgment (REVISED v2.1)
- Data Sources (Required)
- US Market
- Japanese Market
- Implementation Checklist
- Important Principles (Revised)
- 1. Data > Impressions
- 2. Strict Order: Quantitative → Qualitative
What does the us-market-bubble-detector skill do?
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.
How do I install it?
Run `npx skills add BaggaT236/AI-Trading-Skills --skill us-market-bubble-detector --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BaggaT236/AI-Trading-Skills, a repository with 118 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.