Project that uses a Neural Network developed with TensorFlow to predict stocks
This model is trained to predict bullish stock price movements of 1% or greater. So the idea is that if the model predicts a "1" or true, the stock price should increase by at least 1% the following day.
DataCaptureHistorical.py - Downloads historical market data used for training the model
DataCaptureDaily.py - Downloads daily market data for making predictions
TrainModelAndPredict.py - Trains the model and makes predictions