gopalkalpande / stock-rnn

stock-rnn

1. Run python3 data_cleaning.py {ticker} to fetch the historical prices from Yahoo! Finance.
2. Run python3 main.py train {ticker} {MODEL} to train a save a RNN model.
3. Run python3 main.py test {ticker} {MODEL} to test a saved RNN model.

For examples,

• To download from Apple prices

python3 data_cleaning.py AAPL

• To train Apple's price by an LSTM model and save the model

python3 main.py train AAPL LSTM

• To test the performance of the model

python3 main.py test AAPL LSTM