Einstein Research — Market Bubble Risk Detector
by @clawdiri-ai
Evaluates market bubble risk through quantitative, data-driven analysis using a revised Minsky/Kindleberger framework. Prioritizes objective metrics over sub...
clawhub install einstein-research-bubble-dv📖 About This Skill
id: 'einstein-research-bubble' name: 'Einstein Research — Market Bubble Risk Detector' description: 'Evaluates market bubble risk through quantitative, data-driven analysis using a revised Minsky/Kindleberger framework. Prioritizes objective metrics over subjective impressions to prevent confirmation bias and support practical investment decisions.' version: '1.0.0' author: 'DaVinci' last_amended_at: null trigger_patterns: [] pre_conditions: git_repo_required: false tools_available: [] expected_output_format: 'natural_language'
Market Bubble Risk Detector
Overview
This skill evaluates market bubble risk through a quantitative, data-driven analysis based on a revised Minsky/Kindleberger framework. It prioritizes objective metrics over subjective impressions to prevent confirmation bias and support practical investment decisions.
Core Principles:
When to Use This Skill
Explicit Triggers:
Implicit Triggers:
Workflow
Step 1: Execute the Data Collection and Analysis Script
The bubble-detector CLI tool automates the entire process.
bubble-detector run
The script performs the following actions: 1. Fetches Data: Collects data for each of the 7 quantitative indicators. - Put/Call Ratio (CBOE) - VIX Index (CBOE) - Margin Debt (FINRA) - Market Breadth (% Stocks > 200d MA) - IPO Issuance (e.g., from a public data source) - Retail Volume as % of Total - Forward P/E Ratio vs. Historical Average 2. Normalizes Indicators: For each indicator, it calculates a percentile rank over the last 5 years. A rank of 100 means the indicator is at its most "bubbly" level in 5 years. 3. Calculates Composite Score: A weighted average of the normalized indicator scores. - Sentiment (Put/Call, VIX, Retail Volume): 40% - Leverage (Margin Debt): 20% - Market Structure (Breadth): 20% - Valuation & Issuance (P/E, IPOs): 20% 4. Generates Report: Outputs a JSON file and a Markdown summary.
Step 2: Analyze the Report
JSON Output (bubble_report_YYYY-MM-DD.json):
Markdown Report (bubble_report_YYYY-MM-DD.md):
Interpretation & Recommended Actions
The composite score maps to specific risk postures: