2nd Indian International Conference on Industrial Engineering and Operations Management

Ascertain Of Rank For (NSE) Nifty 500 By Using Various Financial Filters With The Help Of Python, Data from April 2021 to April 2022

Seema Sahai, Sharad Khattar, Namita Sahay, Doredla Radha Krishna & Abhishek Kumar
Publisher: IEOM Society International
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Track: Business Analytics
Abstract

National Stock Exchange(NSE) is on the list of the TOP 10 stock exchange markets in the world. NSE builds trust among customers to invest in the companies which are listed with them. In India, NSE has a list of companies that are from distinct sectors like Financial, Health, Information Technology, Retail consumers, Real estate, Fast-moving consumer goods, etc. NSE has categorized the companies into Nifty 50, Nifty 100, Nifty 200, and Nifty 500. In this article, we developed a machine-learning algorithm for Nifty 500 companies that helps to create a better portfolio within the top 500 companies for the customers or clients by using various Python libraries and tools, packages which finally results to find out the rank. Lastly, this rank helps the user to figure out whether to invest in that particular company or not even though they were belongs to the top 500 in the nation.

Keywords:- National Stock Exchange, Python, Nifty, India, Sectors, Rank

Published in: 2nd Indian International Conference on Industrial Engineering and Operations Management, Warangal, India

Publisher: IEOM Society International
Date of Conference: August 16-18, 2022

ISBN: 978-1-7923-9160-6
ISSN/E-ISSN: 2169-8767