DataSynthis_ML_JobTask β€” LSTM (Multivariate)

This repo hosts a PyTorch LSTM with attention for multivariate stock forecasting (OHLCV + technicals).

Included artifacts:

  • pytorch_model.bin
  • config.json
  • training_stats.json
  • preprocessing.json

Quick usage:

  1. Recreate the LSTM architecture from the notebook and load pytorch_model.bin into it
  2. Use config.json for feature list and seq_length
  3. Apply scaling with the parameters in preprocessing.json:
    • Transform: X_scaled = X * scale_ + min_
    • Inverse: X = (X_scaled - min_) / scale_
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