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🏦 AI Hedge Fund Agent

A sophisticated AI-powered hedge fund trading agent built with Agentuity and LangGraph orchestration, delivering professional-grade trading decisions through comprehensive market analysis and intelligent portfolio management.

✨ Key Features

• 🧠 Enhanced LLM Query Parsing - Single smart call extracts portfolio context, risk signals, and trade intent
• 📊 Multi-Modal Analysis - Technical indicators (RSI, MACD, EMA) + sentiment analysis + real-time news
• 🎯 Intelligent Routing - LangGraph workflow adapts based on query complexity and user intent
• 💼 Portfolio Decision Engine - Makes concrete BUY/SELL/HOLD decisions with specific quantities
• ⚡ Real-Time Data - Live market data from yfinance and CoinGecko APIs
• 🛡️ Risk Management - Comprehensive risk assessment with position sizing recommendations
• 📋 Actionable Output - Concrete trading tables with entry/exit prices, stop losses, and position sizes
• 🚀 Agentuity Native - Built for seamless deployment on Agentuity platform

🔄 How It Works

The agent uses a 6-step LangGraph workflow: query parsing → asset search → technical analysis → risk assessment → portfolio decisions → response generation. It combines technical indicators (RSI, MACD, EMA) with sentiment analysis to make actionable trading recommendations.

📖 View Detailed Architecture

🚀 Quick Start with Agentuity

Prerequisites

• Python: 3.10+
• UV: 0.5.25+ (Documentation)
• Agentuity CLI: Install from agentuity.dev

Authentication

agentuity login

Development Mode

Set up your .env with these keys:

NEWSAPI_KEY=[Make one here: https://newsapi.org/]
FRED_API_KEY=[Make one here: https://fred.stlouisfed.org/docs/api/api_key.html]
AGENTUITY_SDK_KEY=
AGENTUITY_PROJECT_KEY=

Start the agent in development mode for real-time testing:

agentuity dev

This launches the Agentuity Console where you can test queries and see responses in real-time.

Production Deployment

Deploy your agent to the Agentuity cloud platform:

agentuity deploy

Example Queries

The agent handles various types of trading queries with intelligent routing:

🔹 Trade Decisions: "Should I buy Apple stock?" → Full analysis + BUY/SELL table
🔹 Portfolio Context: "I own 100 shares of Tesla, should I buy more?" → Risk assessment
🔹 Market Analysis: "How is Bitcoin doing today?" → Technical + sentiment analysis  
🔹 Risk Assessment: "Is my portfolio too risky?" → Portfolio risk evaluation

🏗️ Deployment with Agentuity

Local Development

# Start development server with hot reload
agentuity dev

# Test specific queries
curl -X POST http://localhost:8000/agent \
  -H "Content-Type: application/json" \
  -d '{"message": "Should I buy Apple stock?"}'

Production Deployment

# Deploy to Agentuity cloud
agentuity deploy

# View deployment status
agentuity status

# View logs
agentuity logs

Environment Configuration

# Set API keys for production
agentuity env set NEWSAPI_KEY your_news_api_key # https://newsapi.org/
agentuity env set FRED_API_KEY your_openai_key # https://fred.stlouisfed.org/docs/api/api_key.html

🤝 Contributing

This is a production-ready hedge fund agent built with Agentuity and LangGraph. For detailed architecture and implementation principles, see the architecture documentation.

📚 Documentation

• Agentuity Documentation
• Agentuity Python SDK
• LangGraph Documentation
• Technical Analysis Library

🆘 Support

• Agentuity Discord Community
• Agentuity Support

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Built with ❤️ using Agentuity, LangGraph, and advanced AI techniques