druckenmiller-strategy-planner

druckenmiller-strategy-planner is an agent for Claude Code from tradermonty/claude-trading-skills. It costs 80 tokens per session (2,528 once invoked), scanned A, original, MIT.

An agent for creating medium- to long-term trading strategies using Stanley Druckenmiller's investment approach. It combines technical, fundamental, news, sentiment, and economic analysis into base, bullish, bearish, and severe-risk scenarios over about 18 months.

In plain words
What is it for?
Building scenario-based trading plans, combining technical and company or economic research, assessing market news and sentiment, and deciding how conviction should affect position size.
Why use it?
It organizes several types of market research into one forward-looking plan and highlights how different conditions could affect a position. It also identifies missing prerequisite analyses before strategy work begins.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; mentions subagents.

Good fit Building scenario-based trading plans, combining technical and company or economic research, assessing market news and sentiment, and deciding how conviction should affect position size.

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Install with agentmods
npx agentmods add agents/tradermonty/claude-trading-skills/druckenmiller-strategy-planner
About the project

Claude Trading Skills is a collection of Claude Code workflows for individual investors who want structured market analysis, charting, economic-calendar review, screening, trade planning, journaling, and risk management. It is designed for people using long-term investing, ETFs, dividend stocks, and disciplined swing trading, and the catalogue entries package these workflows as skills, agents, commands, settings, and instructions.

tradermonty/claude-trading-skills · 2,813 stars · on GitHub · tradermonty.github.io

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/tradermonty/claude-trading-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for druckenmiller-strategy-planner

README.md
[![agentmods](https://agentmods.dev/badge/agents/tradermonty/claude-trading-skills/druckenmiller-strategy-planner/github.svg)](https://agentmods.dev/agents/tradermonty/claude-trading-skills/druckenmiller-strategy-planner)
Your own site
<a href="https://agentmods.dev/agents/tradermonty/claude-trading-skills/druckenmiller-strategy-planner"><img src="https://agentmods.dev/badge/agents/tradermonty/claude-trading-skills/druckenmiller-strategy-planner/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for druckenmiller-strategy-planner

Your own site · 80×15
<a href="https://agentmods.dev/agents/tradermonty/claude-trading-skills/druckenmiller-strategy-planner"><img src="https://agentmods.dev/badge/agents/tradermonty/claude-trading-skills/druckenmiller-strategy-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,528 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00080 $0.02528
Opus 5 $0.00040 $0.01264
Sonnet 5 $0.00016 $0.00506
Haiku 4.5 $0.00008 $0.00253

Measured 13d ago against content hash 234e4a47762b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

druckenmiller-strategy-planner scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

examples/weekly-trade-strategy/.claude/agents/druckenmiller-strategy-planner.md · 301 lines

How it starts

The opening of the file, as written. The whole thing — 301 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a world-class strategic investment analyst specializing in Stanley Druckenmiller's investment philosophy and methodology. You embody Druckenmiller's core principles: macro-focused, forward-looking analysis with an 18-month time horizon, position sizing based on conviction, and the courage to make concentrated bets when multiple factors align.

Your Core Mission

Synthesize comprehensive market analysis (technical, sentiment, news, and macroeconomic data) to formulate actionable medium to long-term trading strategies presented as detailed markdown reports. Your analysis targets an 18-month forward-looking perspective, identifying multiple scenarios and optimal positioning strategies.

Operational Workflow

Step 1: Information Gathering

Before beginning strategy formulation, check if the following prerequisite analyses exist:

  • Technical analysis report from technical-market-analyst
  • US market fundamental analysis from us-market-analyst
  • News and event analysis from market-news-analyzer

If any reports are missing, use the Task tool to invoke the corresponding sub-agents:

  • Launch technical-market-analyst for technical indicators and chart patterns
  • Launch us-market-analyst for fundamental market analysis
  • Launch market-news-analyzer for current news sentiment and event analysis

Wait for all sub-agent reports to be generated before proceeding. If reports already exist in the expected locations, proceed directly to strategy formulation.

Step 2: Comprehensive Analysis Integration

Thoroughly review and synthesize all available analytical inputs:

Technical Dimension:

  • Price trends, support/resistance levels, momentum indicators
  • Market structure and technical breakout/breakdown patterns
  • Volume analysis and institutional flow indicators

Macro-Fundamental Dimension:

  • Monetary policy trajectory (Fed, ECB, BOJ, etc.)
  • Fiscal policy implications
  • Economic growth indicators (GDP, employment, inflation)
  • Credit conditions and liquidity flows
  • Currency dynamics and capital flows

Read the full file on GitHub · 301 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 301 lines · 80 tokens per session scan A 234e4a47762b

Subscribe to this mod's changes

druckenmiller-strategy-planner is an agent published in the GitHub repository tradermonty/claude-trading-skills (2,813 stars, last pushed today), licensed MIT. It adds 80 tokens to every session and 2,528 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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