📈 Stock Pattern Detector Pro

A modern, professional desktop application for real-time stock pattern detection using YOLO11. This application provides a beautiful GUI interface for monitoring your screen and detecting stock chart patterns in real-time.

✨ Features

🎨 Modern Professional UI

• Dark theme with professional styling
• Real-time video feed with live pattern detection
• Interactive controls for model and monitor selection
• Performance monitoring with FPS counter
• Detection logging with timestamps and confidence scores

🔧 Advanced Controls

• Model selection - Choose your trained YOLO model
• Monitor selection - Select which monitor to monitor
• Confidence threshold - Adjust detection sensitivity
• Real-time settings - Change settings while running

📊 Detection Features

• Live pattern detection with bounding boxes
• Detection counting and statistics
• Screenshot saving with timestamps
• Export detection logs to text files
• Pattern confidence tracking

🚀 Standalone Executable

• No Python required on target machines
• Pre-loaded model - Your trained model is bundled
• One-click installation with desktop shortcut
• Cross-platform Windows executable

🛠️ Installation & Setup

For Development

# Install dependencies
pip install -r requirements_gui.txt

# Run the application
python stock_detector_app.py

For Building Executable

# Run the build script
python build_exe.py

The build script will:

1. Install PyInstaller if needed
2. Create a professional icon
3. Bundle your trained model
4. Build a standalone executable
5. Create an installer script

📁 File Structure

YOLO_11_Stocks/
├── stock_detector_app.py      # Main GUI application
├── realtime.py                # Original command-line version
├── build_exe.py              # Build script for executable
├── requirements_gui.txt       # GUI app dependencies
├── runs/detect/train/weights/
│   └── best.pt               # Your trained YOLO model
└── dist/
    └── StockPatternDetector.exe  # Built executable

🎮 Usage

Starting Detection

1. Launch the app - Run stock_detector_app.py or the executable
2. Select model - Choose your trained YOLO model file
3. Select monitor - Pick which monitor to monitor
4. Adjust settings - Set confidence threshold
5. Start detection - Click "Start Detection"

Controls

• ▶ Start Detection - Begin real-time monitoring
• ⏹ Stop Detection - Stop monitoring
• 📸 Save Screenshot - Capture current detection
• 📊 Export Log - Save detection history
• 🗑️ Clear Log - Clear detection log

Keyboard Shortcuts

• 'q' - Quit application (when focused on video)
• 's' - Save screenshot (when focused on video)
• 'r' - Reset FPS counter (when focused on video)

🔧 Configuration

Model Requirements

• YOLO11 format (.pt files)
• Trained for stock patterns - Your custom trained model
• Confidence threshold - Adjustable from 0.1 to 1.0

Monitor Selection

• Automatic detection - Finds all available monitors
• Resolution display - Shows monitor specs
• Position tracking - Monitors can be positioned anywhere

Performance Settings

• FPS monitoring - Real-time performance display
• Auto-resizing - Optimizes for performance
• Error handling - Robust error recovery

📊 Output Files

Screenshots

• Format: JPG
• Naming: detection_screenshot_YYYYMMDD_HHMMSS.jpg
• Content: Annotated frame with detection boxes

Detection Logs

• Format: TXT
• Naming: detection_log_YYYYMMDD_HHMMSS.txt
• Content: Timestamp, count, confidence for each detection

Settings

• File: settings.json
• Auto-saved: Model path and confidence settings
• Persistent: Remembers your preferences

🚀 Building Executable

Prerequisites

• Python 3.8+ installed
• Your trained YOLO model in runs/detect/train/weights/best.pt
• All dependencies installed

Build Process

# Install build dependencies
pip install -r requirements_gui.txt

# Run build script
python build_exe.py

Output

• Executable: dist/StockPatternDetector.exe
• Installer: install.bat (creates desktop shortcut)
• Size: ~200-300MB (includes model and dependencies)

🎯 Use Cases

Day Trading

• Real-time monitoring of multiple charts
• Pattern alerts for trading opportunities
• Screenshot capture for analysis

Research & Analysis

• Pattern logging for backtesting
• Confidence tracking for model validation
• Export capabilities for further analysis

Education

• Visual learning of chart patterns
• Real-time feedback on pattern recognition
• Historical tracking of detection accuracy

🔍 Troubleshooting

Common Issues

1. Model not found - Ensure model path is correct
2. No monitors detected - Check display settings
3. Low FPS - Reduce confidence threshold or resize window
4. Detection errors - Check model compatibility

Performance Tips

• Close unnecessary applications for better FPS
• Use lower confidence for more detections
• Monitor single screen for best performance
• Update graphics drivers for optimal performance

📝 License

This project is for educational and research purposes. Please ensure you have proper licensing for any commercial use of the YOLO model and training data.

🤝 Contributing

Feel free to submit issues, feature requests, or pull requests to improve the application.

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Stock Pattern Detector Pro - Professional real-time pattern detection for traders and analysts.