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JonusNattapong
/
romeo-v8-super-ensemble-trading-ai

Scikit-learn
English
trading
finance
xauusd
gold
forex
machine-learning
ensemble
super-ensemble
xgboost
lightgbm
catboost
neural-network
tensorflow
Model card Files Files and versions
xet
Community

Instructions to use JonusNattapong/romeo-v8-super-ensemble-trading-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Scikit-learn

    How to use JonusNattapong/romeo-v8-super-ensemble-trading-ai with Scikit-learn:

    from huggingface_hub import hf_hub_download
    import joblib
    model = joblib.load(
    	hf_hub_download("JonusNattapong/romeo-v8-super-ensemble-trading-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
romeo-v8-super-ensemble-trading-ai
6.86 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
JonusNattapong's picture
JonusNattapong
Upload V5_DESIGN.md with huggingface_hub
2b5698f verified 11 months ago
  • backtest_results_romeo_v8
    Upload backtest_results_romeo_v8/romeo_summary_15m.json with huggingface_hub 11 months ago
  • data_xauusd_v3
    Upload data_xauusd_v3/daily_data_v3.csv with huggingface_hub 11 months ago
  • v8
    Upload v8/models_romeo_v8/trading_model_romeo_15m.pkl with huggingface_hub 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    14.7 kB
    Upload README.md with huggingface_hub 11 months ago
  • V5_DESIGN.md
    1.54 kB
    Upload V5_DESIGN.md with huggingface_hub 11 months ago