mindesbunister 19d4020622 feat: Implement real-time monitoring for Drift trading
 Features Added:
- Real-time event subscription using Drift SDK EventSubscriber
- Periodic fallback monitoring for position changes
- Interactive UI controls for starting/stopping monitoring
- Comprehensive data source status tracking
- Multi-source trade aggregation and deduplication

🔧 Backend Implementation:
- EventSubscriber integration with OrderActionRecord events
- Fallback to periodic monitoring (30s intervals) if events fail
- Real-time trade cache management (last 100 trades)
- Enhanced data availability status with monitoring state
- Improved trade history from 5+ different API sources

🎨 Frontend Enhancements:
- Live monitoring toggle button (🔴 Start Live / 🟢 Live)
- Real-time status panel showing active monitoring state
- Trade counter and last activity timestamps
- Clear cache functionality for real-time trades
- Enhanced status modal with monitoring details

🔗 API Endpoints:
- POST /api/drift/realtime-monitoring - Control monitoring
- GET /api/drift/realtime-monitoring - Check status
- GET /api/drift/data-status - Enhanced with monitoring state

🐳 Docker Integration:
- Updated container configuration for persistent monitoring
- Environment variable support for real-time features
- Database persistence for captured trades

💾 Database & Storage:
- Automatic storage of real-time detected trades
- Deduplication logic to prevent synthetic/duplicate trades
- Persistent cache across container restarts

🚀 Usage:
- Click 'Start Live' button in Trading History panel
- Monitor will attempt EventSubscriber, fallback to periodic checks
- All future trades automatically captured and stored
- Status panel shows monitoring state and trade statistics

This implements comprehensive real-time trading monitoring for Drift Protocol with robust fallback mechanisms and professional UI integration.
2025-07-13 13:29:10 +02:00

Trading Bot v3

This project is a Next.js 15 App Router dashboard for automated trading, AI-powered analysis, and developer tools. It uses TypeScript, Tailwind CSS, Prisma, and provides API endpoints for trading, analysis, and automation.

Features

  • Modern Next.js 15 App Router architecture
  • TypeScript, Tailwind CSS, ESLint, Turbopack
  • API routes for trading, analysis, screenshots, and automation
  • Ready for integration with Prisma, OpenAI, TradingView, and Solana/Drift

Getting Started

  1. Install dependencies:
    npm install
    
  2. Run the development server:
    npm run dev
    
  3. Open http://localhost:3000 in your browser.

Customization

  • Add your business logic, UI components, and database schema as needed.
  • See .github/copilot-instructions.md for Copilot guidance.

This project is ready for migration of your trading bot logic and UI from v2.

Description
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