VISUALISING AND FORECASTING THE STOCK PRICE

Abstract

Stock investments provide one of the highest returns in the market. Even though they are volatile in nature, one can visualize share prices and other statistical factors which helps the keen investors carefully decide on which company they want to spend their earnings on. Developing this simple project idea using the Dash (a Python framework) to create web application, we can make dynamic plots of the financial data of a specific company by using the tabular data provided by yfinance python library and some machine learning models which will show company information and stock plots based on the user input stock code. On top of it, we can use a machine learning algorithm-Support Vector Regression (SVR) module from the sklearn library and then train the SVR model with the training dataset to predict the upcoming stock prices for the date inputted by the user.