This project exploits a huge dataset containing stock prices for the S&P 500 Index and its constituents from April 2017 to August 2017 to precisely predict the next minute stock price of the S&P 500 Index. As the neural network is training and testing, a graph of the actual stock price and the predicted stock price will be plotted, moreover the error and accuracy will be calculated and displayed.
PDF report contains project details. The following is the content of the report:
- Problem Description
- Data Description
- Method Description