Chandan Maka

There are lots of stocks that are listed in various stock exchanges and that number can reach in thousands. For most of the investors, investment firms and analysts the main challenge is to find out the stocks that can be classified as fundamentally strong companies within the market. With an attempt to find the solution to the above problem, previously multiple works have been done to classify the stocks or select the stocks of a companies whose financial status is strong. This practicum project seeks to classify the stocks with machine learning models and plenty of the fundamental metrics associated with those stocks collectively. This approach utilizes the fundamental financial metrics related to profitability, liquidity, leverage, cash flow quality, efficiency, capital investment, cost structure and shareholder-related measures derived from publicly disclosed financial reports. The goal is to find out the stock’s financial status with the help of machine learning model that has been trained under supervision of collected and prepared data. This practical approach will find its potential in the financial domain of equity, portfolio and risk.

Need to be decided