Overview of Advanced Deep Learning based Models for Stock Market Price Predictions
Article No.: 28, Pages 1 - 9
Abstract
As observed in numerous sectors, forecasting of stock price is one of the most complicated machine learning tasks. According to the study, there are a huge number of elements that influence supply and demand. The technical analysis of numerous tactics utilized. The emphasis of this research is on how to anticipate the price of a stock in the past, as well as how to analyze for optimization. Time-series data is used to represent stock values while, neural networks are employed to gain patterns from trend. In addition to the numerical study of stock movement, public sentiment is being studied by analyzing textual content from blogs and online news outlets. This study illustrates the use of machine and deep learning models for predicting stock values by analyzing past data.
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November 2023
1215 pages
ISBN:9798400709418
DOI:10.1145/3647444
Copyright © 2023 ACM.
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Association for Computing Machinery
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Publication History
Published: 13 May 2024
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ICIMMI 2023
ICIMMI 2023: International Conference on Information Management & Machine Intelligence
November 23 - 25, 2023
Jaipur, India
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