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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: A survey on fundamental and technical analysis used in stock market prediction
Authors Name: Shobhita Singh , Dr. Divya Khanna
Unique Id: IJSDR2209052
Published In: Volume 7 Issue 9, September-2022
Abstract: In any rising and prospering economy, every stock market investment aims to increase profit while reducing associated investment risk. As a consequence, multiple studies utilizing different soft-computing methodologies and algorithms on stock-market prediction using technical or fundamental analysis or both have been conducted. Fundamental analysis is the process of determining a company's fair market value by examining all the company's components, as well as the industry, market, and local and global environment, with the goal of long-term investment. Technical analysis looks for patterns in data, such as historical returns and price movements, that may be utilized to anticipate future price movement for securities and the market for short-term active traders. When evaluating a company's growth and profitability potential, investors and analysts often combine fundamental, technical, and quantitative analysis. The purpose of this study is to conduct a systematic and critical examination of about fifty relevant research articles published in academic journals over a seven-year period (2015–2021) around machine and deep learning-based stock market prediction. Three categories of techniques are identified in these publications: technical, fundamental, and combination analysis through input data types utilized. 50% of the reviewed literature used quantitative data (structured data) generally contain historical stock data (open, close, high, low, volume) employed in technical analysis. 24% is qualitative data (unstructured data) normally includes sentimental analysis, tweets, blogs, social media etc. The combination analysis 26% reviewed literature uses both quantitative and qualitative data.
Keywords: stock-market prediction, fundamental analysis, technical analysis, machine-learning, quantitative data, qualitative data.
Cite Article: "A survey on fundamental and technical analysis used in stock market prediction", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 9, page no.327 - 340, September-2022, Available :http://www.ijsdr.org/papers/IJSDR2209052.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2209052
Registration ID:201578
Published In: Volume 7 Issue 9, September-2022
DOI (Digital Object Identifier):
Page No: 327 - 340
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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