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noahchalifour/simple-stocks-deep-learning

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Predicting Stock Prices with Deep Learning

This is a very simple project that is used to predict future prices of stocks (NOTE: This uses Python 3.6)

Requirements

  • pandas_datareader
  • keras
  • sklearn
  • h5py (for model saving)

Usage

  1. Download the repository via git clone https://github.com/noahchalifour/stocks_deep_learning
  2. Change into the directory cd stocks_deep_learning
  3. Install required packages via pip install -r requirements.txt
  4. Edit params.py to the desired settings
  5. Execute python train.py
  6. Test python test_history -m <model_name> --start_date=<YYYY-MM-DD> --end_date=<YYYY-MM-DD> OR python test_live -m <model_name>

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