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- Title
SVM-BASED STOCK MARKET PRICE PREDICTION METHODS: AN ADVANCED REVIEW.
- Authors
VISHWAKARMA, VIJAY KUMAR; BHOSALE, NARAYAN P.
- Abstract
This paper offers a concise analysis of the strategies currently in use for stock price prediction by retail investors. The price may increase or decrease according to the quarterly results, financial news flow, technical behavior, or market sentiment resulting from recent developments worldwide. This paper discussed the accuracy of many proposed approaches and methodologies for predicting stock price movement. The Support Vector Machine (SVM) is the foundation of the approaches, with additional parameters and variables.
- Subjects
MARKET prices; STOCK exchanges; MARKET pricing; MARKET sentiment; SUPPORT vector machines
- Publication
i-Manager's Journal on Computer Science, 2022, Vol 10, Issue 3, p13
- ISSN
2347-2227
- Publication type
Article
- DOI
10.26634/jcom.10.3.19183