Stock market prediction analysis by incorporating financial industry using machine learning

Market Limit Trading value analysis is the increasing concern of the stock exchange. This paper presents the ensemble algorithm of Random Forest, Support Vector Machine and Linear Regression has used to analyze the stock price position between the sectors of Finance, and Utilities. The results were...

Full description

Saved in:
Bibliographic Details
Main Authors: Rajeswar, Surya, Ramalingam, Pon, SudalaiMuthu, T.
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Machine learning
Stock exchanges
Support vector machines
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Market Limit Trading value analysis is the increasing concern of the stock exchange. This paper presents the ensemble algorithm of Random Forest, Support Vector Machine and Linear Regression has used to analyze the stock price position between the sectors of Finance, and Utilities. The results were compared with Actual data. SVM yielded better performance with mean square error rate of 0.73 using technical indicators of relative strength index, exponential moving average, money flow index, and Stochastic Oscillator.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0071072