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meridianal
/
ARA.AI

Scikit-learn
Joblib
finance
trading
time-series
stock-prediction
gradient-boosting
cross-sectional
Model card Files Files and versions
xet
Community

Instructions to use meridianal/ARA.AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Scikit-learn

    How to use meridianal/ARA.AI with Scikit-learn:

    from huggingface_hub import hf_hub_download
    import joblib
    model = joblib.load(
    	hf_hub_download("meridianal/ARA.AI", "sklearn_model.joblib")
    )
    # only load pickle files from sources you trust
    # read more about it here https://skops.readthedocs.io/en/stable/persistence.html
  • Notebooks
  • Google Colab
  • Kaggle
ARA.AI
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1764 commits
meridianal's picture
meridianal
Update v8 model - 2026-09-11 00:25:33
d16ccb5 verified about 4 hours ago
  • legacy
    Archive biased v5.2.2 model to legacy/Meridian.AI_Forex_v5.2.2.pt 4 months ago
  • models
    Update v8 model - 2026-09-11 00:25:33 about 4 hours ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    4.92 kB
    Update v8 model - 2026-08-08 23:07:39 about 1 month ago