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title: MCP app_file: app.py sdk: gradio sdk_version: 5.31.0

MCP Trading System

A sophisticated multi-agent trading simulation system that allows multiple AI traders to operate in a simulated market environment. The system provides real-time visualization of trading activities, portfolio performance, and market interactions.

Features

• Multiple AI traders operating simultaneously
• Real-time portfolio value tracking and visualization
• Detailed transaction history and holdings management
• Live trading logs with color-coded events
• Interactive web interface built with Gradio
• Market simulation and price updates
• Account management and transaction tracking

System Components

• Trading Interface: Web-based UI showing trader performance, holdings, and transactions
• Market Simulation: Real-time market data and price updates
• Account Management: Portfolio tracking and transaction history
• Trading Agents: AI-powered trading strategies
• Logging System: Comprehensive activity logging and monitoring

Dependencies

• gradio
• pandas
• plotly
• python-dotenv
• openai
• asyncio
• requests
• openai-agents
• polygon-api-client

Getting Started

1. Install the required dependencies:

   pip install -r requirements.txt
   

2. Set up your environment variables (if required)

3. Run the application:

   python app.py
   

The web interface will be launched in your default browser, showing the trading dashboard.

Project Structure

• app.py: Main application and UI components
• trading_floor.py: Trading environment and agent management
• market.py: Market simulation and price updates
• accounts.py: Account management and portfolio tracking
• database.py: Data persistence and logging
• traders.py: Trading agent implementations
• util.py: Utility functions and helpers

Monitoring

The system provides real-time monitoring of:

• Portfolio values
• Trading activities
• Market movements
• Agent decisions
• Transaction history

License

[Add your license information here]

Contributing

[Add contribution guidelines here]