Vishnu Lakshmanan, Samyak Thapa, Aditi Shastri
To analyze historical stock prices and give an accurate prediction about future prices with the use of a Recurrent Neural Network (RNN) and optimization functions.
Phase 1 of the project aims to use a Recurrent Neural Network (RNN) to provide an accurate prediction of the price of securities in the near future.
Phase 2 of the project utilizes Other optimization functions in order to calculate how risky the stock is along with the overall portfolio risk.