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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

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Paper Title: Fundamental analysis of stock trading systems using classification techniques
Authors Name: Sahil Mane , Dhawal Shah , Ishika Diwan , Manoj Dhande
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IJRTI_182704
Published Paper Id: IJRTI2206240
Published In: Volume 7 Issue 6, June-2022
DOI:
Abstract: There are numerous companies that are listed on the stock market and experts or portfolio managers usually pick them up using their expertise and fundamental analysis for picking long term stock holdings. But IT has made processing large datasets of companies easy and a layman can use it. Our paper gives an analysis of the company’s stock on the basis of its fundamental indicators ie.by basically classifying stocks on the basis of fundamental analysis. It is important for investors to pick the right stock to buy as it will grow in the long term. This paper proposes a process to identify which company’s stocks have strong fundamentals and those that have weak fundamentals. This paper uses a dataset that has been created using FinViz which contains many stocks from the S&P 500 and Indian Stock markets.
Keywords: Fundamental Analysis, Fundamental Indicators and Ratios, Random Forest Algorithm.
Cite Article: "Fundamental analysis of stock trading systems using classification techniques", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.1615 - 1618, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206240.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2206240
Registration ID:182704
Published In: Volume 7 Issue 6, June-2022
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Page No: 1615 - 1618
Country: Mumbai, Maharashtra, India
Research Area: Computer Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2206240
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2206240
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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