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@jwesleye jwesleye released this 07 Aug 00:03
· 3 commits to main since this release
v1.0.0
0875140

🎉 Open Paper Trading MCP v1.0.0 - Production Ready Quality

This major release establishes production-ready quality for the Open Paper Trading MCP platform, delivering a comprehensive paper trading simulator with dual interfaces for both web clients and AI agents.

🚀 Major Features

Dual Server Architecture

  • FastAPI Server (port 2080): Complete REST API with 49 endpoints
  • MCP Server (port 2081): Independent MCP server with 43 AI agent tools
  • Service Layer Unity: Both interfaces access identical TradingService functionality

Multi-Asset Trading Support

  • Stocks, Options, ETFs: Full trading simulation across asset classes
  • Advanced Options Trading: Professional spread builder with 15+ strategies
  • Real-time P&L Analysis: Breakeven calculations and win probability analysis
  • Live Market Data: Real-time integration with Robinhood API

AI Agent Integration

  • 43 MCP Tools: Complete interface for AI agent training and interaction
  • ADK Validation: 42/42 evaluations completed with live agent testing
  • Multi-step Workflows: Agents correctly execute complex trading sequences
  • Live Data Integration: All tools validated with real market data

✅ Technical Excellence

Code Quality Standards

  • 99.8% Test Success: 580/581 tests passing with comprehensive coverage
  • 100% Code Compliance: Full ruff linting and mypy type checking
  • AsyncIO Infrastructure: Fully stabilized with zero event loop conflicts
  • Database Integration: PostgreSQL with proper async session management

Frontend Core (95% Complete)

  • Options Trading Interface: Live options chains with professional display
  • Market Data Integration: Real-time quotes, search, company information
  • Chart Components: Professional price history with proper styling
  • Account Management: Complete portfolio display and order history
  • Responsive Design: Mobile-friendly interface across all components

🏗️ Architecture Highlights

Split Architecture Benefits

  • Independent Deployment: Servers run separately eliminating conflicts
  • Dual Interface Access: Web clients (REST) + AI agents (MCP) = same functionality
  • Database-First Design: All trading state persisted with async operations
  • Type Safety: Full Pydantic validation across all interfaces

Development Patterns

  • Service Layer Consistency: Unified TradingService for both interfaces
  • Testing Infrastructure: Journey-based testing with real database operations
  • Documentation Complete: Comprehensive guides and auto-generated API docs
  • Quality Automation: Integrated linting, formatting, and type checking

📋 What's Next

The v1.0.0 foundation enables rapid development of advanced features:

  • Portfolio Analytics: Performance charts, risk metrics, asset allocation
  • Advanced Order Management: Enhanced workflow and automation
  • Research & Discovery: Comprehensive market research tools

🔧 Getting Started

# Clone and start with Docker
git clone https://github.com/Open-Agent-Tools/open-paper-trading-mcp.git
cd open-paper-trading-mcp
docker-compose up --build

# Services available at:
# - Frontend & API: http://localhost:2080/
# - MCP Server: http://localhost:2081/
# - API Docs: http://localhost:2080/docs

🙏 Acknowledgments

This release represents a significant milestone in creating a production-quality paper trading platform suitable for algorithmic development, strategy backtesting, and AI agent training.

Full Changelog: https://github.com/Open-Agent-Tools/open-paper-trading-mcp/commits/v1.0.0

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