The YOLOv8s Stock Market Pattern Detection model is an object detection model based on the YOLO (You Only Look Once) framework. It is designed to detect various chart patterns in real-time from screen-captured stock...
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The YOLOv8s Stock Market Pattern Detection model is an object detection model based on the YOLO (You Only Look Once) framework. It is designed to detect various chart patterns in real-time from screen-captured stock...
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2 extraits--- tags: - ultralyticsplus - yolov8 - ultralytics - yolo - vision - object-detection - pytorch - finance - stock market - candlesticks - pattern recognition - option trading - chart reader library_name: ultralytics library_version: 8.3.94 inference: false model-index: - name: foduucom/stockmarket-pattern-detection-yolov8 results: - task: type: object-detection metrics: - type: precision value: 0.61355 name: [email protected](box) language: - en pipeline_tag: object-detection --- <div align="center"> <img width="500" alt="foduucom/stockmarket-pattern-detection-yolov8" src="https://huggingface.co/foduucom/stockmarket-pattern-detection-yolov8/resolve/main/thumbnail.jpg"> </div> # Model Card for YOLOv8s Stock Market Real Time Pattern Detection from Live Screen Capture ## Model Summary The YOLOv8s Stock Market Pattern Detection model is an object detection model based on the YOLO (You Only Look Once) framework. It is designed to detect various chart patterns in real-time from screen-captured stock market trading data. The model aids traders and investors by automating the analysis of chart patterns, providing timely insights for informed decision-making. The model has been fine-tuned on a diverse dataset and achieves high accuracy in detecting and classifying stock market patterns in live trading scenarios. ## Model Details ### Model Description The YOLOv8s Stock Market Pattern Detection model enables real-time detection of crucial chart patterns within stock market screen captures. As stock markets evolve rapidly, this model's capabilities empower users with timely insights, allowing them to make informed decisions with speed and accuracy. The model is designed to work with screen capture of stock market trading charts. It can detect patterns such as 'Head and shoulders bottom,' 'Head and shoulders top,' 'M_Head,' 'StockLine,' 'Triangle,' and 'W_Bottom.' Traders can optimize their strategies, automate trading decisions, and respond to market trends in real-time. To integrate this model into live trading systems or for customization inquiries, please contact us at [email protected]. - **Developed by:** FODUU AI - **Model type:** Object Detection - **Task:** Stock Market Pattern Detection from Screen Capture ### Supported Labels ``` ['Head and shoulders bottom', 'Head and shoulders top', 'M_Head', 'StockLine', 'Triangle', 'W_Bottom'] ``` ## Uses ### Di...
Source context: 9 downloads · 1 likes · Pipeline object-detection · Library ultralytics · Repo aoiandroid/stockmarket-pattern-detection-yolov8