Covid-19 was undoubtedly one of the main factors in year 2020 to have affected the stock market in a very large scale.All five sectors were influenced by the pandemic.
Some other factors other than Covid-19 to change stock prices were volatile currency and change in oil prices(Mostly airlines industry was affected by change in oil prices).
Company's net profit and loss over a period of time also played a vital role in the stock market change.
A python model was made for stock price prediction.Overfitting was observed in decision tree model so we implemented a simple neural network model.
Tweets related to stock market were extracted using rapid miner tool, to perform sentiment analysis.An overall of negative sentiment was analysed in the results.
Dashboard of each sector was prepared for forecast visualisation.Forecast of next two quaters was visualised, there was not much deflection obseved in the forecast.
Video demonstrating the running of sentiment analysis and python model.