This monitors physical ETFs like SLV and GLD for a specific divergence pattern: when commodity prices climb but ETF holdings drop, which might signal physical supply stress or just redemption flows. It calculates a 0-100 stress score by comparing price returns against inventory drawdowns over configurable windows (default 180 days), checks if holdings hit decade lows, and crucially presents two competing hypotheses rather than assuming one narrative. The Python scripts scrape ETF holdings via Selenium, pull prices from Yahoo Finance, and generate JSON plus visual reports. You'd run this if you're tracking precious metals markets and want systematic alerts when price and inventory move opposite directions, though you still need to interpret which hypothesis fits the broader data.
npx -y skills add fatfingererr/macro-skills --skill monitor-etf-holdings-drawdown-risk --agent claude-codeInstalls into .claude/skills of the current project.
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