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DOI Prefix: 10.47001/IRJIET
Vol 7 No (2023): Volume 7, Special Issue of ICRTET- 2023 | Pages: 245-247
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 16-07-2023
Stock Market Prediction is a challenging and trending topic for researchers in recent years. Although it contains significant risk, it is frequently utilized in investment schemes that promise big returns. The returns on stocks are quite erratic. They are influenced by a number of variables, including prior stock prices, current market trends, financial news, social media, etc. There are many methods used to forecast stock value, including technical analysis, fundamental analysis, time series analysis, and statistical analysis, however none of these methods has been demonstrated to be a reliable forecasting method. In order to improve the accuracy of stock price prediction, a variety of machine learning approaches and algorithms are examined in this study.
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Amol Jeewanrao Shewalkar, Dr. Bijendra Gupta, “Survey Paper on Stock Prediction Using Machine Learning Algorithms” in proceeding of International Conference of Recent Trends in Engineering & Technology ICRTET - 2023, Organized by SCOE, Sudumbare, Pune, India, Published in IRJIET, Volume 7, Special issue of ICRTET-2023, pp 245-247, June 2023.
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