Paper Key : IRJ************152
Author: Malhar Kulkarni,Aditya Dhumal,Manohar Dudhat,Mrs. S. S. Gadekar
Date Published: 17 Apr 2024
Abstract
This research paper presents a Smart Financial Decision Support System aimed at helping investors make informed decisions in the stock market and mutual fund investments. The system consists of five key components: Option Chain Analysis, Undervalued Stock Identifier, Intrinsic Value Calculator, Mutual Fund Design and Stock Design. Option Chain Analysis uses Python with Flask and React for visualization and offers insights into Nifty, FinNifty and BankNifty through graphical representations. Stock valuation uses a formulaic approach to categorize stocks as overvalued, fairly valued, undervalued or very undervalued based on future growth value, dividend yield value and PE ratio. The intrinsic value calculator uses EPS, growth rate and corporate bond rate to determine the intrinsic value of stocks. Stock suggestions are generated using strategies such as the 100-day moving average strategy vs. 200 day moving average and Prophet Python library for stock prediction. Mutual fund suggestions are provided based on sorting parameters like 1-year, 3-year and 5-year return. This research paper aims to provide investors with a comprehensive decision support system to effectively navigate the complexities of financial markets.