VISUALIZING AND FORECASTING STOCKS USING DASH

Abstract

In the modern financial market, the most crucial problem is to find an essential
approach to outline and visualize the predictions in stock markets to be made by
individuals in order to attain maximum profit by investments. The stock market is a
transformative, non-straight dynamical and complex system. Long-term investment is
one of the major investment decisions. Though, evaluating shares and calculating
elementary values for companies for long-term investment is difficult. Stock price
forecasting is a popular and important topic in financial and academic studies. 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
help the keen investors to carefully decide on which company they want to spend their
earnings on. In this project, we have created a single-page web application using the
Dash library (of Python), we have made dynamic plots of the financial data of a
specific company by using the tabular data provided by the yfinance Python library.
On top of it, we have used machine learning algorithms to predict the upcoming stock
prices.