Name		Name	Last commit message	Last commit date
parent directory ..
csv-results		csv-results
data		data
logs/2020-12-11_AMZN-sh-1-sc-1-sbd-0-huber_loss-adam-LSTM-seq-50-step-15-layers-2-units-256		logs/2020-12-11_AMZN-sh-1-sc-1-sbd-0-huber_loss-adam-LSTM-seq-50-step-15-layers-2-units-256
results		results
README.md		README.md
parameters.py		parameters.py
requirements.txt		requirements.txt
stock_prediction.ipynb		stock_prediction.ipynb
stock_prediction.py		stock_prediction.py
test.py		test.py
train.py		train.py

README.md

How to Predict Stock Prices in Python using TensorFlow 2 and Keras

To run this:

pip3 install -r requirements.txt
Please read the tutorial before using this, edit parameters.py for your needs and run train.py. This will start training using the parameters you specified, you can use tensorboard on logs folder to visualize your training process.
Once you trained your model, use test.py to evaluate and test your model.