Stanley Druckenmiller Investment

This is a meta-skill that reads JSON outputs from eight other market analysis tools and synthesizes them into a single conviction score from 0 to 100, inspired by Stanley Druckenmiller's investment approach. It weighs seven components including market breadth, distribution risk, and macro regime to classify the current market into one of four patterns (policy pivot, unsustainable distortion, extreme sentiment contrarian, or wait and observe) and spits out target allocation percentages. You'd run this after executing the five required upstream skills when you want a unified positioning recommendation instead of juggling separate breadth, top detection, and macro signals. The scoring is quantitative but the pattern labels lean heavily on Druckenmiller philosophy references, so it sits somewhere between systematic and discretionary.

skills.sh installs: 3.7K
GitHub stars: 3.7K
last updated: Aug 21, 2026

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Install

$ npx -y skills add tradermonty/claude-trading-skills --skill stanley-druckenmiller-investment --agent claude-code

Installs into .claude/skills of the current project.

Files

Druckenmiller Strategy Synthesizer

Purpose

Synthesize outputs from 8 upstream analysis skills (5 required + 3 optional) into a single composite conviction score (0-100), classify the market into one of 4 Druckenmiller patterns, and generate actionable allocation recommendations. This is a meta-skill that consumes structured JSON outputs from other skills — it requires no API keys of its own.

When to Use This Skill

English:

User asks "What's my overall conviction?" or "How should I be positioned?"
User wants a unified view synthesizing breadth, uptrend, top risk, macro, and FTD signals
User asks about Druckenmiller-style portfolio positioning
User requests strategy synthesis after running individual analysis skills
User asks "Should I increase or decrease exposure?"
User wants pattern classification (policy pivot, distortion, contrarian, wait)

Japanese: