1a7bdb4109
- Add TECHNICAL_ANALYSIS_BASICS.md with complete indicator explanations - Add TA_QUICK_REFERENCE.md for quick lookup - Enhance AI analysis prompts with TA principles integration - Improve JSON response structure with dedicated analysis sections - Add cross-layout consensus analysis for higher confidence signals - Include timeframe-specific risk assessment and position sizing - Add educational content for RSI, MACD, EMAs, Stochastic RSI, VWAP, OBV - Implement layout-specific analysis (AI vs DIY layouts) - Add momentum, trend, and volume analysis separation - Update README with TA documentation references - Create implementation summary and test files
312 lines
10 KiB
Markdown
312 lines
10 KiB
Markdown
# 🚀 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)
|
||
|
||
```bash
|
||
# 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 v2
|
||
docker compose up --build
|
||
|
||
# Access the dashboard
|
||
open http://localhost:3000
|
||
```
|
||
|
||
### Option B: Node.js Development
|
||
|
||
```bash
|
||
# 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
|
||
|
||
```env
|
||
# 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 build
|
||
- **`docker-compose.yml`** - Development setup
|
||
- **`docker-compose.prod.yml`** - Production deployment
|
||
- **`.dockerignore`** - Optimized build context
|
||
|
||
## 🎯 Usage Examples
|
||
|
||
### Quick Multi-Timeframe Analysis
|
||
|
||
1. **Select Trading Style Preset**:
|
||
- 🕒 Scalping: 5m, 15m, 1h
|
||
- 📊 Day Trading: 1h, 4h, 1d
|
||
- 📈 Swing: 4h, 1d, 1w
|
||
- 🎯 Position: 1d, 1w, 1m
|
||
|
||
2. **Click Any Coin** for instant analysis across all selected timeframes
|
||
|
||
3. **View Results** with consensus, divergences, and individual timeframe setups
|
||
|
||
### API Usage
|
||
|
||
```bash
|
||
# 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
|
||
|
||
```bash
|
||
# 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
|
||
|
||
1. Fork the repository
|
||
2. Create a feature branch: `git checkout -b feature/amazing-feature`
|
||
3. Commit changes: `git commit -m 'Add amazing feature'`
|
||
4. Push to branch: `git push origin feature/amazing-feature`
|
||
5. Open a Pull Request
|
||
|
||
## <20> Technical Analysis Documentation
|
||
|
||
This project includes comprehensive Technical Analysis (TA) documentation:
|
||
|
||
- **`TECHNICAL_ANALYSIS_BASICS.md`** - Complete guide to all indicators used
|
||
- **`TA_QUICK_REFERENCE.md`** - Quick reference for indicator interpretation
|
||
- **AI Analysis Integration** - TA fundamentals built into AI analysis prompts
|
||
|
||
### Indicators Covered:
|
||
- **RSI & Stochastic RSI** - Momentum oscillators
|
||
- **MACD** - Trend and momentum indicator
|
||
- **EMAs** - Exponential Moving Averages (9, 20, 50, 200)
|
||
- **VWAP** - Volume Weighted Average Price
|
||
- **OBV** - On-Balance Volume
|
||
- **Smart Money Concepts** - Institutional flow analysis
|
||
|
||
The AI analysis system uses established TA principles to provide accurate, educational trading insights based on proven technical analysis methodologies.
|
||
|
||
## <20>📜 License
|
||
|
||
This project is licensed under the MIT License - see the [LICENSE](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!**
|