Examples for Photon ML

Photon ML Framework: https://github.com/sequenzia/photon

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Notebooks

• Deep Ensemble (Colab Notebook)

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Python Scripts

• Deep Ensemble (Python run script and config files)

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Datasets

Sample Market Data: (Apache Arrow Parquet File)

• SPY ETF market data in 1M resolution (2 years: 2016-2017)
• Includes some predefined features that are based of off some standard technical price indicators
• Includes predefined label groups (1,2,3,4,5,6 & 7 days in the future)
  • Discrete price movements with rate of change; used for regression inferences
  • 5 predefined classes for each label group; for used for classification inferences