PREDICTION OF STOCK MARKET USING MACHINE LEARNING AND DASH

PREDICTION OF STOCK MARKET USING MACHINE LEARNING AND DASH

Sakshi Kesharwani

M.Tech

Shikha Singh

Assistant Professor

Saurabh Mitra

Head Of Department

Dept Of Digital Communications, Dr. C.V.Raman University Kota, Bilaspur Chhattisgarh

ABSTRACT:

Stock market is a place where you can buy and sell shares for publicly listed companies. Stocks which are also known as equities represent the ownership in the company. Stock exchange is the mediator that allow buying and selling of shares. Stock market prediction is the act of trying to determine future value of a company stock. Stock market prediction is made possible with the help of machine learning. It allows you to analyze and predict the future values of company stocks. Most of the stock prediction techniques make use of linear regression model of machine learning. It is simple and easy to handle, but the main limitation of linear regression is that, linear regression is the assumption of linearity between the dependent and independent variables which can be incorrect many times. Also it is very sensitive to the outliers and cause over-fitting of the data. This project is about the prediction of the stock market price by using the LSTM model which will overcome the limitation of the method that is implemented using the linear regression. Along with plotting the graphical representation using LSTM model, I also built a dashboard in this project to analyse the stock. By using dash it is possible to view the graphical analysis of the stock market which will be very effective

Keywords: Stock market, LSTM model, Dash, Machine learning, Python