Predicting stock market price by applying regression to the Yahoo! Finance data. The data set contains stock information between the years 2000 and 2017, daily.
The implemented neural net has 2 hidden layers. The input has the shape of (2993, 3), hidden layers have 10 nodes in each, and the output layer has one node which is the predicted value.