Object Detection
ultralytics
TensorBoard
PyTorch
English
v8
ultralyticsplus
yolov8
yolo
vision
finance
stock market
candlesticks
pattern recognition
option trading
chart reader
Eval Results (legacy)
Instructions to use foduucom/stockmarket-pattern-detection-yolov8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use foduucom/stockmarket-pattern-detection-yolov8 with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("foduucom/stockmarket-pattern-detection-yolov8", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
New here, anyone used this recently? Is it any good?
#8 opened 6 months ago
by
Makweb
Stock Market Query
#7 opened about 1 year ago
by
kalashshah19
add AIBOM
#6 opened over 1 year ago
by
RiccardoDav
Request: DOI
#5 opened over 1 year ago
by
gjin10969
Update README.md
#4 opened almost 2 years ago
by
Skmula93
How would you compare performance / use cases of this model relative to the 'Up' / 'Down' model (from foduucom/stockmarket-future-prediction)?
#2 opened over 2 years ago
by
phxps
Update to AGPL-3.0 License
#1 opened over 2 years ago
by
glenn-jocher