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.
Why use this skill?
Assess market risk using the revised Minsky/Kindleberger framework v2.1. Perform objective, data-driven analysis of US market bubbles.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/veeramanikandanr48/us-market-bubble-detectorWhat This Skill Does
The us-market-bubble-detector is a sophisticated, data-driven analytical tool designed to assess market risk using the revised Minsky/Kindleberger framework v2.1. Unlike traditional sentiment analysis, this agent skill prioritizes quantitative objectivity over subjective narrative. It follows a rigorous two-phase evaluation process: first, it mandates the collection of critical market data including Put/Call ratios, VIX, FINRA margin debt, market breadth metrics, and IPO performance. Second, it executes a mechanical scoring system that filters out confirmation bias through strictly defined qualitative adjustment criteria. By leveraging this framework, users can move beyond guesswork and gain a structured view of market health, specifically identifying whether the environment suggests a speculative bubble or a healthy correction.
Installation
You can install this skill directly into your OpenClaw agent by running the following command in your terminal or command-line interface:
clawhub install openclaw/skills/skills/veeramanikandanr48/us-market-bubble-detector
Use Cases
This skill is designed for investors, portfolio managers, and analysts who require objective evidence for decision-making. Key use cases include:
- Determining optimal timing for profit-taking during an extended bull market.
- Evaluating the risk of new capital entry when market narratives become hyperbolic.
- Assessing the credibility of media claims regarding "bubble" conditions.
- Managing risk for existing portfolios by monitoring leverage and market participation breadth.
- Validating hypotheses when a user observes signs of speculative frenzy such as an IPO boom or non-investor retail participation.
Example Prompts
- "Analyze current market conditions—are we showing signs of a bubble based on the Minsky framework?"
- "I'm considering liquidating my tech holdings. Can you run the bubble detector and check current margin debt and put/call ratios?"
- "Is the current IPO market activity normal, or does it signal an overheated state of the US economy?"
Tips & Limitations
- Mandatory Data: Always ensure the agent has access to real-time market data APIs. The skill will refuse to score if Phase 1 data is missing.
- Qualitative Constraints: The qualitative adjustments are strictly capped at +3 points to prevent the user or agent from over-emphasizing narrative over data.
- Not Financial Advice: While the tool provides data-driven insights, it should be used as a component of a broader investment strategy, not as a standalone financial advisor. Always cross-reference findings with your long-term investment horizon and risk tolerance.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-veeramanikandanr48-us-market-bubble-detector": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: data-collection, external-api
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