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Super Hedge Fund Skill

skill-stanleychanh-super-hedge-fund-skill-super-hedge-fund-skill · by StanleyChanH

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.

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Install

$ agentstack add skill-stanleychanh-super-hedge-fund-skill-super-hedge-fund-skill

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
5mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

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 (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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.