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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
Downloads:
000205198
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