A survey on fundamental and technical analysis used in stock market prediction
Shobhita Singh
, Dr. Divya Khanna
stock-market prediction, fundamental analysis, technical analysis, machine-learning, quantitative data, qualitative data.
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.
"A survey on fundamental and technical analysis used in stock market prediction", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 9, page no.327 - 340, September-2022, Available :https://ijsdr.org/papers/IJSDR2209052.pdf
Volume 7
Issue 9,
September-2022
Pages : 327 - 340
Paper Reg. ID: IJSDR_201578
Published Paper Id: IJSDR2209052
Downloads: 000347239
Research Area: Commerce
Country: Chandigarh, Chandigarh, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
