Stock Market Pattern Detection YOLOv8
| Property | Value |
|---|---|
| Model Type | Object Detection (YOLOv8) |
| Training Data | 9000 training / 800 validation images |
| Performance | mAP@0.5: 0.61355 |
| Developer | FODUU AI |
What is stockmarket-pattern-detection-yolov8?
This is a specialized implementation of YOLOv8 designed for real-time detection of stock market patterns in live trading video data. The model can identify six crucial trading patterns: Head and shoulders bottom/top, M_Head, StockLine, Triangle, and W_Bottom. It's built to help traders and investors automate their technical analysis process with real-time pattern recognition capabilities.
Implementation Details
The model is implemented using the Ultralytics YOLOv8 framework and operates on live video feeds. It employs advanced bounding box techniques and pattern-specific feature extraction, running on PyTorch backend. The system is optimized for real-time processing with configurable confidence thresholds and IoU parameters.
- Built on YOLOv8s architecture with specialized modifications for stock pattern detection
- Incorporates self-attention mechanisms for improved pattern recognition
- Trained on NVIDIA GeForce RTX 3080 hardware
- Achieves 61.355% mAP@0.5 on validation data
Core Capabilities
- Real-time pattern detection in live trading videos
- Detection of 6 distinct chart patterns
- Configurable detection parameters for different trading scenarios
- Integration capabilities with existing trading systems
- Support for automated trading strategy implementation
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its ability to process live trading video data in real-time, making it particularly valuable for active traders. Its specialization in six specific pattern types and integration capabilities with trading systems make it a practical tool for automated technical analysis.
Q: What are the recommended use cases?
The model is ideal for automated trading systems, real-time market analysis, pattern-based alert generation, and technical analysis automation. It's particularly useful for day traders and algorithmic trading systems that rely on chart pattern recognition.
