This is a very simple project that is used to predict future prices of stocks (NOTE: This uses Python 3.6)
- pandas_datareader
- keras
- sklearn
- h5py (for model saving)
- Download the repository via
git clone https://github.com/noahchalifour/stocks_deep_learning
- Change into the directory
cd stocks_deep_learning
- Install required packages via
pip install -r requirements.txt
- Edit
params.py
to the desired settings - Execute
python train.py
- Test
python test_history -m <model_name> --start_date=<YYYY-MM-DD> --end_date=<YYYY-MM-DD>
ORpython test_live -m <model_name>