stanley-druckenmiller-workflowA thesis-driven market analysis workflow using liquidity, rates, credit, and internals to form and test macro hypotheses in a live PM memo style.
Install via ClawdBot CLI:
clawdbot install luckycatL/stanley-druckenmiller-workflowGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://query1.finance.yahoo.com/v8/finance/chart/{encoded}Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Generates a pre-market macro-to-execution analysis for Chinese equities, focusing on regime identification, thesis formation, and actionable positioning language based on upstream conditions like liquidity and rates.
Produces a pre-market decision memo for U.S. markets, tracing transmission from macro factors to equity expression, with clear falsification conditions and probabilistic language.
Provides real-time analysis during trading hours, updating on regime shifts, divergence flags between upstream and downstream actions, and validation signals for thesis testing.
Conducts a comprehensive weekly review to reset market regime views, incorporating evidence anchors from rates, credit, and equity breadth to guide portfolio bias.
Offers a final macro environment judgment before execution, ensuring alignment with current thesis, falsification conditions, and avoiding false certainty in trade decisions.
Provides AI-driven macro analysis tools via a subscription service, targeting hedge funds and asset managers to enhance decision workflows with structured memos and evidence protocols.
Offers basic morning briefs for free to attract users, with advanced features like intraday alerts and detailed regime resets available through paid upgrades, monetizing depth and real-time insights.
Licenses the skill as an integrated component within larger trading platforms or research suites, providing customized outputs and API access for institutional clients.
💬 Integration Tip
Integrate with real-time data feeds for evidence anchors and ensure language resolution aligns with user preferences to maintain depth parity across outputs.
Scored Jun 19, 2026
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