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- Interactive chat interface to ask questions about active trades - Automatic position detection and context-aware responses - Fresh screenshot capture with updated market analysis - Smart conversation flow with trade-specific insights - Quick action buttons for common trade management questions - TradeFollowUpPanel.tsx: Full-featured chat interface with position tracking - /api/trade-followup: GPT-4o mini integration with screenshot analysis - Enhanced AIAnalysisPanel with Follow-up button integration - 'Should I exit now?' - Real-time exit recommendations - 'Update my stop loss' - SL adjustment guidance based on current conditions - 'Move to break even' - Risk-free position management - 'Current market analysis' - Fresh chart analysis with updated screenshots - 'Risk assessment' - Position risk evaluation - 'Take profit strategy' - TP optimization recommendations - Enter trade based on AI analysis → Use Follow-up for ongoing management - Ask specific questions: 'Is this still a valid setup?' - Get updated analysis: 'What do the charts look like now?' - Risk management: 'Should I move my stop loss?' - Exit timing: 'Is this a good time to take profits?' The assistant provides context-aware guidance by: Tracking your current position details (entry, size, P&L) Capturing fresh screenshots when needed for updated analysis Combining position context with current market conditions Providing specific price levels and actionable advice Maintaining conversation history for continuity Perfect for traders who want ongoing AI guidance throughout their trades!
🚀 AI-Powered Trading Bot Dashboard v3
A professional-grade Next.js trading dashboard with AI-powered chart analysis, dual-session screenshot capture, and multi-timeframe analysis. Built for institutional-quality trading insights with cost-effective OpenAI integration.
✨ Key Features
🤖 AI-Powered Analysis
- Professional Trading Assistant - Behaves like a top proprietary desk trader
- Multi-Layout Analysis - AI + DIY TradingView layouts for comprehensive insights
- Cost-Effective - Using GPT-4o mini (~$0.006 per analysis)
- Timeframe Risk Assessment - Automatic leverage and position sizing recommendations
- Cross-Layout Consensus - Compare insights from multiple chart layouts
📊 Multi-Timeframe Analysis
- Quick Presets: Scalping (5m,15m,1h), Day Trading (1h,4h,1d), Swing (4h,1d,1w), Position (1d,1w,1m)
- 1-8 Timeframes simultaneously for broader market outlook
- Consensus Detection - Identify when multiple timeframes agree
- Individual Analysis - Detailed breakdown for each timeframe
🎯 Professional Trading Setups
- Precise Entry Levels with ±buffers and technical rationale
- Smart Stop Losses with exact reasoning (above VWAP, failed breakout zones)
- Enhanced Take Profits with RSI/OBV expectations for TP1/TP2
- Risk/Reward Ratios with specific R:R calculations
- Confirmation Triggers - Exact signals to wait for before entry
🖼️ Enhanced Screenshot Service
- Dual-Session Capture - Parallel AI and DIY layout screenshots
- Docker Optimized - Full CPU utilization for faster processing
- Robust Error Handling - Individual layout failures don't break analysis
- Production Ready - Automated browser management and session persistence
🎨 Beautiful UI/UX
- Modern Design - Gradient backgrounds, smooth animations, responsive layouts
- Quick Analysis - One-click coin + timeframe combination analysis
- Visual Indicators - Clear selection states, progress indicators, success/failure states
- Professional Display - Bloomberg terminal-style result presentation
🚀 Quick Start
Option A: Docker (Recommended)
# Clone the repository
git clone <your-repo-url> trading_bot_v3
cd trading_bot_v3
# Create environment file
cp .env.example .env.local
# Add your OpenAI API key to .env.local
# Start with Docker Compose
docker-compose up --build
# Access the dashboard
open http://localhost:3000
Option B: Node.js Development
# Clone and install dependencies
git clone <your-repo-url> trading_bot_v3
cd trading_bot_v3
npm install
# Configure environment
cp .env.example .env.local
# Add your OpenAI API key
# Start development server
npm run dev
# Access the dashboard
open http://localhost:3000
⚙️ Configuration
Required Environment Variables
# OpenAI API Key (Required for AI analysis)
OPENAI_API_KEY=your_openai_api_key_here
# TradingView Credentials (Optional - for automation)
TRADINGVIEW_USERNAME=your_username
TRADINGVIEW_PASSWORD=your_password
# Layout Configuration (Optional)
NEXT_PUBLIC_TRADINGVIEW_LAYOUTS=ai,diy
Docker Configuration
The system includes optimized Docker configurations:
Dockerfile- Production-optimized builddocker-compose.yml- Development setupdocker-compose.prod.yml- Production deployment.dockerignore- Optimized build context
🎯 Usage Examples
Quick Multi-Timeframe Analysis
-
Select Trading Style Preset:
- 🕒 Scalping: 5m, 15m, 1h
- 📊 Day Trading: 1h, 4h, 1d
- 📈 Swing: 4h, 1d, 1w
- 🎯 Position: 1d, 1w, 1m
-
Click Any Coin for instant analysis across all selected timeframes
-
View Results with consensus, divergences, and individual timeframe setups
API Usage
# Test the enhanced screenshot API
curl -X POST http://localhost:3000/api/enhanced-screenshot \
-H "Content-Type: application/json" \
-d '{
"symbol": "BTCUSD",
"timeframe": "240",
"layouts": ["ai", "diy"],
"analyze": true
}'
# Run included test script
node test-enhanced-screenshot.js
Professional Trading Analysis Output
💰 TRADING SETUP:
📍 Entry: $162.5 ±0.25
💡 Rejection from 15 EMA + VWAP confluence near intraday supply
🛑 Stop Loss: $160
💡 Above VWAP + failed breakout zone
🎯 TAKE PROFIT TARGETS:
🥉 TP1: $164
📋 Target based on resistance level observed in both layouts
📊 RSI: Should reach 60-65 zone
📈 OBV: Confirming upward momentum
🥈 TP2: $166
📋 Target aligns with upper resistance in AI layout
📊 RSI: Approaching 70+ overbought
📈 OBV: Making new highs with price
⚖️ Risk/Reward: 1:2.5
⏰ TIMEFRAME RISK ASSESSMENT:
📊 Risk Level: Medium (4H timeframe)
💼 Position Size: Larger position appropriate for swing trade
🎚️ Leverage: 3-5x recommended for 4H timeframe
🛠️ Tech Stack
- Frontend: Next.js 15, TypeScript, Tailwind CSS
- AI: OpenAI GPT-4o mini (cost-optimized)
- Automation: Puppeteer, Playwright
- Database: Prisma (optional)
- Deployment: Docker, Docker Compose
- Testing: Custom API test suites
📂 Project Structure
trading_bot_v3/
├── app/ # Next.js app router
│ ├── api/enhanced-screenshot/ # Screenshot & AI analysis API
│ ├── globals.css # Global styles
│ ├── layout.tsx # Root layout
│ └── page.tsx # Main dashboard
├── components/ # React components
│ ├── AIAnalysisPanel.tsx # Multi-timeframe analysis UI
│ ├── Dashboard.tsx # Main dashboard
│ └── ... # Other trading components
├── lib/ # Core services
│ ├── ai-analysis.ts # OpenAI integration
│ ├── enhanced-screenshot-simple.ts # Dual-session capture
│ ├── auto-trading.ts # Trading automation
│ └── ... # Other services
├── docker-compose.yml # Development setup
├── docker-compose.prod.yml # Production setup
├── Dockerfile # Optimized container
└── test-enhanced-screenshot.js # API testing
🧪 Testing
Run Test Suite
# Test enhanced screenshot service
node test-enhanced-screenshot.js
# Test with curl
./test-simple-screenshot.js
# Test Docker setup
docker-compose up --build
Expected Test Output
🚀 Testing Enhanced Screenshot Service with Dual Sessions (API)
✅ API endpoint available
🎯 SUCCESS: Both AI and DIY layouts captured successfully!
📊 Test Summary: 100% success rate
🎯 Features in Detail
AI Analysis Capabilities
- Market Sentiment Analysis - BULLISH/BEARISH/NEUTRAL with confidence scores
- Technical Indicator Analysis - RSI, VWAP, OBV, MACD with specific action triggers
- Entry/Exit Strategy - Precise levels with technical rationale
- Risk Management - Position sizing based on timeframe and volatility
- Alternative Scenarios - Backup plans and invalidation levels
Screenshot Service Features
- Dual-Session Architecture - Parallel AI and DIY layout capture
- Smart Navigation - Automatic symbol/timeframe selection
- Error Recovery - Robust handling of navigation failures
- Performance Optimized - Full CPU utilization, optimized for i7-4790K
- Session Persistence - Avoid repeated logins and captchas
Multi-Timeframe Analysis
- Cross-Timeframe Consensus - Identify alignment across timeframes
- Divergence Detection - Spot conflicts between timeframes
- Risk-Adjusted Positioning - Different strategies for different timeframes
- Comprehensive Outlook - From scalping to position trading
📊 Performance & Costs
- Analysis Speed: ~30-60 seconds for dual-layout capture + AI analysis
- AI Cost: ~$0.006 per analysis (GPT-4o mini)
- Screenshot Performance: Optimized for multi-core CPUs
- Memory Efficient: Docker optimizations for production deployment
🔒 Security & Best Practices
- Environment Variables - Secure API key management
- Input Validation - Sanitized user inputs
- Error Handling - Graceful degradation
- Rate Limiting - Built-in delays between requests
- Production Ready - Docker security best practices
🤝 Contributing
- Fork the repository
- Create a feature branch:
git checkout -b feature/amazing-feature - Commit changes:
git commit -m 'Add amazing feature' - Push to branch:
git push origin feature/amazing-feature - Open a Pull Request
📜 License
This project is licensed under the MIT License - see the LICENSE file for details.
🙏 Acknowledgments
- OpenAI for providing cost-effective GPT-4o mini API
- TradingView for comprehensive charting platform
- Next.js team for excellent React framework
- Docker for containerization capabilities
📞 Support
For support, please open an issue in the GitHub repository or contact the development team.
Built with ❤️ for professional traders who demand institutional-quality analysis at startup costs.
🚀 Ready to deploy and start trading with AI-powered insights!