A multi-agent investment simulation that leverages the philosophies of 16+ legendary investors to provide comprehensive stock market analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-hedge-fund
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-hedge-fund using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AI Hedge Fund Simulation?
The AI Hedge Fund skill is a sophisticated financial analysis tool designed for the Openclaw Skills ecosystem. It simulates a professional investment committee by deploying a fleet of AI agents, each programmed with the unique investment philosophy of world-renowned investors like Warren Buffett, Cathie Wood, and Michael Burry.
By integrating seamlessly with Openclaw, this skill automates the process of gathering market data via yfinance and processing it through multiple logical lenses. It eliminates the need for manual model configuration by auto-detecting your active session parameters, making it a powerful asset for developers and traders looking to experiment with agentic financial workflows.
AI Hedge Fund Simulation Use Cases
- Conducting deep-dive fundamental and technical analysis on specific stock tickers.
- Simulating how different investment legends would react to current market conditions.
- Generating automated buy/sell/hold recommendations backed by transparent reasoning.
- Testing multi-agent orchestration within the Openclaw Skills environment.
How AI Hedge Fund Simulation Works
- The system triggers the run script which identifies the target stock tickers and date ranges.
- Openclaw Skills environment variables are scanned to auto-detect the preferred LLM model (e.g., Minimax or GPT-4).
- Real-time market data is fetched using the yfinance API for the specified period.
- Data is distributed to over 16 specialized agents, including personas for Value, Growth, and Quant investing.
- Each agent generates a signal (bullish/bearish/neutral) with a confidence score and detailed reasoning.
- A Portfolio Manager agent aggregates all inputs to provide a final consolidated investment decision.
AI Hedge Fund Simulation Setup
To get started with this skill within your environment, follow these steps:
# Clone the project into your workspace
git clone https://github.com/virattt/ai-hedge-fund /data/workspace/ai-hedge-fund
# Install the package and dependencies
pip install -e /data/workspace/ai-hedge-fund --break-system-packages --quiet
pip install yfinance --break-system-packages --quiet
To execute a simulation using the Openclaw Skills auto-detection script:
python3 /data/workspace/skills/skills/ai-hedge-fund/scripts/run.py --tickers NVDA --analysts-all --show-reasoning
AI Hedge Fund Simulation Data Schema & Taxonomy
The skill organizes its output through a hierarchical agent structure and structured financial data:
| Data Component | Description |
|---|---|
| Input Tickers | List of equity symbols (e.g., AAPL, TSLA) |
| Agent Signals | JSON-like objects containing signal, confidence, and reasoning |
| Model Config | Automatically pulled from /root/.openclaw/openclaw.json |
| Financial Data | Raw OHLCV and fundamental data sourced from yfinance |
AI Hedge Fund Simulation Advanced Features
- Model Auto-Detection: Dynamically switches between models like Claude, GPT, or free tiers like Minimax based on the active Openclaw Skills session.
- Persona Diversity: Includes 16+ distinct agent archetypes ranging from Margin of Safety (Graham) to Antifragility (Taleb).
- Asymmetric Analysis: Specialized Quant agents handle technical and sentiment analysis to complement the fundamental personas.
- Reasoning Transparency: Use the
--show-reasoningflag to audit the internal logic of every agent in the simulation.
SKILL.md
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