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Super hedge fund skill

Skill StanleyChanH/super-hedge-fund-skill/super-hedge-fund-skill

Claude Code Skill that transforms Claude into a multi-agent hedge fund analyst with 8 AI agents for comprehensive stock analysis

Install

npx -y skills add StanleyChanH/super-hedge-fund-skill --skill super-hedge-fund-skill

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Multi-agent stock analysis system with Claude-powered investor personas. Use when user mentions stock tickers (AAPL, TSLA, NVDA, GOOGL, MSFT), asks about stock analysis/investment decisions/trading signals, or uses keywords like stock analysis, investment decision, trading advice, hedge fund, bullish/bearish. Triggers on stock ticker symbols and investment-related questions.

SKILL.md

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Super Hedge Fund Skill

Multi-agent stock analysis system combining rule-based analytics with Claude-powered investor personas.

⚠️ Educational purposes only - NOT investment advice

Workflow

digraph workflow {
    rankdir=TB;
    node [shape=box, style="filled,rounded", fillcolor="#f0f0f0"];

    input [label="1. Parse Input\nExtract tickers"];
    data [label="2. Fetch Data\nPrice/Financials/News"];
    agents [label="3. Run Agents\nRule + Claude"];
    risk [label="4. Risk Analysis\nVolatility/Position"];
    output [label="5. Generate Report\nMarkdown"];

    input -> data -> agents -> risk -> output;
}

Agents Quick Reference

Agent	Type	Focus
Fundamental	Rule	ROE, margins, debt, growth
Technical	Rule	EMA, RSI, MACD, momentum
Valuation	Rule	DCF, Owner Earnings
Sentiment	Rule+Claude	News, insider trades
Buffett	Claude	Moat, ROE, intrinsic value
Wood	Claude	Disruptive tech, growth
Burry	Claude	Deep value, contrarian
Lynch	Claude	PEG, understandable biz

Execution

Step 1: Parse Input

Extract: ticker symbols, date range, capital
Mode: full (default) or brief

Step 2: Fetch Data

Use WebSearch for:
- Current price & 52-week range
- Financial metrics (ROE, P/E, margins, debt)
- Recent news headlines

Step 3: Run Agents

Rule-based (deterministic):
- Fundamental analysis → signal + confidence
- Technical analysis → signal + confidence
- Valuation analysis → signal + confidence

Claude-powered (interpretive):
- For each investor persona, analyze with their philosophy
- Return: {signal, confidence, reasoning}

Step 4: Risk Analysis

Calculate: annual volatility from price data
Determine: risk level → position limit
  - Low (<15%): 25% max
  - Medium (15-30%): 20% max
  - High (30-50%): 15% max
  - Very High (>50%): 10% max

Step 5: Aggregate & Output

Count signals: bullish / bearish / neutral
Determine consensus by majority
Generate Markdown report

Signal Icons

Signal	Icon
Bullish	🟢
Bearish	🔴
Neutral	🟡

Common Mistakes

Mistake	Fix
Giving real investment advice	Always add disclaimer
Missing data errors	Use fallback estimates
Single-agent reliance	Must aggregate 8+ signals
Overconfident signals	Show confidence %, acknowledge uncertainty

References

references/investor-agents.md - Investor persona prompts and frameworks
references/analysis-methods.md - Detailed scoring and calculation methods
assets/report-template.md - Markdown report template

Scripts

scripts/analysts.py - Rule-based analyst implementations
scripts/investor_prompts.py - Claude investor persona prompts
scripts/report_generator.py - Markdown report generation
scripts/data_fetcher.py - Data fetching utilities

Keep looking

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