skills/tradermonty/claude-trading-skills/stanley-druckenmiller-investment

stanley-druckenmiller-investment

SKILL.md

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:

  • 「総合的な市場判断は?」「今のポジショニングは?」
  • ブレッドス、アップトレンド、天井リスク、マクロの統合判断
  • 「エクスポージャーを増やすべき?減らすべき?」
  • 「ドラッケンミラー分析を実行して」
  • 個別スキル実行後の戦略統合レポート

Input Requirements

Required Skills (5)

# Skill JSON Prefix Role
1 Market Breadth Analyzer market_breadth_ Market participation breadth
2 Uptrend Analyzer uptrend_analysis_ Sector uptrend ratios
3 Market Top Detector market_top_ Distribution / top risk (defense)
4 Macro Regime Detector macro_regime_ Macro regime transition (1-2Y structure)
5 FTD Detector ftd_detector_ Bottom confirmation / re-entry (offense)

Optional Skills (3)

# Skill JSON Prefix Role
6 VCP Screener vcp_screener_ Momentum stock setups (VCP)
7 Theme Detector theme_detector_ Theme / sector momentum
8 CANSLIM Screener canslim_screener_ Growth stock setups + M(Market Direction)

Run the required skills first. The synthesizer reads their JSON output from reports/.


Execution Workflow

Phase 1: Verify Prerequisites

Check that the 5 required skill JSON reports exist in reports/ and are recent (< 72 hours). If any are missing, run the corresponding skill first.

Phase 2: Execute Strategy Synthesizer

python3 skills/stanley-druckenmiller-investment/scripts/strategy_synthesizer.py \
  --reports-dir reports/ \
  --output-dir reports/ \
  --max-age 72

The script will:

  1. Load and validate all upstream skill JSON reports
  2. Extract normalized signals from each skill
  3. Calculate 7 component scores (weighted 0-100)
  4. Compute composite conviction score
  5. Classify into one of 4 Druckenmiller patterns
  6. Generate target allocation and position sizing
  7. Output JSON and Markdown reports

Phase 3: Present Results

Present the generated Markdown report, highlighting:

  • Conviction score and zone
  • Detected pattern and match strength
  • Strongest and weakest components
  • Target allocation (equity/bonds/alternatives/cash)
  • Position sizing parameters
  • Relevant Druckenmiller principle

Phase 4: Provide Druckenmiller Context

Load appropriate reference documents to provide philosophical context:

  • High conviction: Emphasize concentration and "fat pitch" principles
  • Low conviction: Emphasize capital preservation and patience
  • Pattern-specific: Apply relevant case study from references/case-studies.md

7-Component Scoring System

# Component Weight Source Skill(s) Key Signal
1 Market Structure 18% Breadth + Uptrend Market participation health
2 Distribution Risk 18% Market Top (inverted) Institutional selling risk
3 Bottom Confirmation 12% FTD Detector Re-entry signal after correction
4 Macro Alignment 18% Macro Regime Regime favorability
5 Theme Quality 12% Theme Detector Sector momentum health
6 Setup Availability 10% VCP + CANSLIM Quality stock setups
7 Signal Convergence 12% All 5 required Cross-skill agreement

4 Pattern Classifications

Pattern Trigger Conditions Druckenmiller Principle
Policy Pivot Anticipation Transitional regime + high transition probability "Focus on central banks and liquidity"
Unsustainable Distortion Top risk >= 60 + contraction/inflationary regime "How much you lose when wrong matters most"
Extreme Sentiment Contrarian FTD confirmed + high top risk + bearish breadth "Most money made in bear markets"
Wait & Observe Low conviction + mixed signals (default) "When you don't see it, don't swing"

Conviction Zone Mapping

Score Zone Exposure Guidance
80-100 Maximum Conviction 90-100% Fat pitch - swing hard
60-79 High Conviction 70-90% Standard risk management
40-59 Moderate Conviction 50-70% Reduce position sizes
20-39 Low Conviction 20-50% Preserve capital, minimal risk
0-19 Capital Preservation 0-20% Maximum defense

Output Files

  • druckenmiller_strategy_YYYY-MM-DD_HHMMSS.json — Structured analysis data
  • druckenmiller_strategy_YYYY-MM-DD_HHMMSS.md — Human-readable report

API Requirements

None. This skill reads JSON outputs from other skills. No API keys required.

Reference Documents

references/investment-philosophy.md

  • Core Druckenmiller principles: concentration, capital preservation, 18-month horizon
  • Quantitative rules: daily vol targets, max position sizing
  • Load when providing philosophical context for conviction assessment

references/market-analysis-guide.md

  • Signal-to-action mapping framework
  • Macro regime interpretation for allocation decisions
  • Load when explaining component scores or allocation rationale

references/case-studies.md

  • Historical examples: 1992 GBP, 2000 tech bubble, 2008 crisis
  • Pattern classification examples with actual market conditions
  • Load when user asks about historical parallels

references/conviction_matrix.md

  • Quantitative signal-to-action mapping tables
  • Market Top Zone x Macro Regime matrix
  • Load when user needs precise exposure numbers for specific signal combinations

When to Load References

  • First use: Load investment-philosophy.md for framework understanding
  • Allocation questions: Load market-analysis-guide.md + conviction_matrix.md
  • Historical context: Load case-studies.md
  • Regular execution: References not needed — script handles scoring

Relationship to Other Skills

Skill Relationship Time Horizon
Market Breadth Analyzer Input (required) Current snapshot
Uptrend Analyzer Input (required) Current snapshot
Market Top Detector Input (required) 2-8 weeks tactical
Macro Regime Detector Input (required) 1-2 years structural
FTD Detector Input (required) Days-weeks event
VCP Screener Input (optional) Setup-specific
Theme Detector Input (optional) Weeks-months thematic
CANSLIM Screener Input (optional) Setup-specific
This Skill Synthesizer Unified conviction
Weekly Installs
66
GitHub Stars
242
First Seen
Jan 26, 2026
Installed on
gemini-cli60
opencode60
cursor59
codex58
kimi-cli56
amp56