Time series analysis of stock price movements: Insights from data mining using machine learning

The effective prediction system in stock market helps to the traders and investors by providing the helpful information for the upcoming guidelines about stock market. Machine learning was the recent trend in prediction of stock market technologies, it makes the predictions depends on the values of...

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Bibliographic Details
Main Authors: Raju, N Santha, Kumar, JMSV Ravi, Sujatha, B.
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Data mining
Machine learning
Recurrent neural networks
Regression models
Support vector machines
Online Access:Get full text
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Summary:The effective prediction system in stock market helps to the traders and investors by providing the helpful information for the upcoming guidelines about stock market. Machine learning was the recent trend in prediction of stock market technologies, it makes the predictions depends on the values of stock market. To predict stock market indices, in this paper we have used recurrent neural network and long-short-term memory. We have analyzed various parameters used for stock market with the help of three algorithms which are random forest, support vector machine, regression models.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0117417