Forecasting and Visualization using Dash for Improved Stock Analysis

Since stock market is a dynamic, transforming, and sophisticated investment system, one of the important financial considerations is to make a long-term investment. In this perspective, financial market analysis plays an important role in determining a new strategy to outline and visualize the stock market forecasts to maximize the profit from investments. Stock investment gives best returns when compared to other investment approaches. Despite their volatility, share prices and other statistical elements can be visualized to carefully select the stock to invest. The proposed concept includes the Dash (Dynamic Adaptive Streaming Hypertext) module in python language to create dynamic charts of financial data analysis, which is strongly supported by the in-built finance Python library package. To forecast the future stock values, this research study employs a machine learning system.