READMEmain

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

Install the required dependencies:
```
pip install -r requirements.txt
```
Set up your environment variables (if required)
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]

mcp-trading-system