Stock market process is full of uncertainty; hence stock price forecasting is very important in finance and business. COVID-19 has had a significant influence on the global economy, as well as an impact on the financial markets. The challenge of this project is to accurately predict the future stock price of the given stock across a given period of time in the future considering the impact of COVID- 19 on the economy.
In this project, we are trying to investigate the impact of COVID-19(Confirmed cases data) on the stock prices of companies like Amazon, Netflix, Delta Airlines, and United Airlines on NASDAQ index. We will be making use of Long Short Term Memory networks, Regression models to predict the future stock price of these companies on the NASDAQ using a data-set of past prices with and without COVID-19 data.