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Stockmarket Pattern Detection Yolov8

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...

KindOtherVersionRevision 8c3d6c3

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Kind
Other
File size
83.6 MB
Version
vRevision 8c3d6c3
Updated
Sep 27, 2026
Downloads
9
Tasks
Object detection
Source
Hugging Face

Source excerpt

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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1 source
Hugging FacePrimaryVersion 8c3d6c32551c357b84b6358e53e469b9de233859
huggingface.co/aoiandroid/stockmarket-pattern-detection-yolov8/tree/8c3d6c32551c357b84b6358e53e469b9de233859

Verified Sep 27

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1 artifact

model.pt

pt · 83.6 MB · SHA-256 3c93ebc30b60…51d0 · Hugging Face

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Source excerpts

2 excerpts

--- 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: mAP@0.5(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 info@foduu.com. - **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