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.
US Market Bubble Detector
The US Market Bubble Detector provides a quantitative risk framework based on the Minsky/Kindleberger credit and valuation cycle model. It evaluates market risk across leverage, sentiment, volatility, and market breadth indicators.
Understanding Market Cycles & Extremes
Equity markets experience cyclical expansions and contractions driven by credit availability, valuation expansion, and investor sentiment. During extended bull markets, rising valuations and elevated leverage can increase systemic fragility.
Identifying market risk levels requires evaluating objective metrics rather than relying on sentiment or headlines alone. Selling exposure prematurely during healthy bull markets incurs opportunity cost, while ignoring structural leverage and breadth anomalies increases downside exposure.
The US Market Bubble Detector evaluates multi-factor quantitative indicators to categorize market risk levels objectively and help investors adjust risk exposure systematically.
How Pierce AI Executes It
When you request a market risk check, Pierce AI evaluates quantitative and qualitative risk parameters:
Phase 1: Quantitative Indicator Sweep
Pierce evaluates six core structural market indicators:
- Put/Call Ratio: Options market volume ratios tracking hedging activity vs. bullish speculative volume.
- Volatility Compression (VIX): Evaluates implied volatility relative to historical ranges to identify low-volatility complacency.
- Margin Debt Escalation: Tracks FINRA margin debt expansion relative to market capitalization growth.
- IPO Activity & Pricing: Evaluates debut pricing premiums and new issuance volume.
- Market Breadth Divergence: Measures the percentage of S&P 500 components trading above their 50-day moving average relative to broad index highs.
- Price Velocity: Measures price acceleration relative to long-term moving averages.
Phase 2: Structural Risk Scoring
Pierce synthesizes the quantitative metrics into a composite risk framework, evaluating whether structural disconnects exist between market valuations and underlying fundamental earnings.
Key Metrics & Deliverables
By running the Bubble Detector, you receive a structured macroeconomic risk assessment:
- Composite Risk Score: A composite score (0–15) measuring market fragility.
- Market Phase Categorization: Labels the market environment into five risk regimes: Normal, Caution, Elevated Risk, Euphoria, or Critical.
- Risk Exposure Guidance: Provides systematic risk management guidelines (e.g., tightening trailing stops or reducing portfolio risk allocation as scores rise).
- Hedging & Tactical Context: Evaluates whether market conditions favor defensive hedging or capital preservation strategies.
Example Prompts & Use Cases
You can evaluate market risk levels using prompts such as:
- "The tech sector has advanced rapidly. Run the US Market Bubble Detector."
- "Run a US Market Bubble check. Evaluate systemic risk across broad equity indices."
- "Evaluate the current AI market rally using the Minsky financial instability framework."
- "The S&P 500 is reaching new highs. Score current market leverage and breadth metrics."
Methodology Notes & Limitations
Macroeconomic risk scoring provides broad regime context rather than short-term market timing:
- Timing Limitations: Elevated risk scores indicate structural market vulnerability, not the exact timing of market pullbacks. Extended valuation expansions can persist over long periods.
- Gradual Risk Adjustments: Phase shifts reflect broad regime shifts. Risk adjustments should be implemented gradually rather than through sudden portfolio liquidation.
- Data Lag: Indicators such as FINRA margin debt data carry monthly reporting lags and represent macro context rather than real-time trading signals.
Objective Market Risk Assessment
The US Market Bubble Detector provides a disciplined, data-driven framework to help investors evaluate market extremes, manage risk allocation, and navigate market cycles objectively.
Note: The US Market Bubble Detector executes a complex multi-variable macroeconomic framework and is included exclusively in the Preferred tier.
Try this skill in the app
Execute the recommended prompt directly in the Pierce app using market data and filings.