Poster:Stock Price Prediction using Machine Learning

被引：0

作者：

Chen, Kuan-Yu ^{[1
]}

Lee, Pei-Ju ^{[1
]}

Liu, Shang-Chien ^{[1
]}

机构：

[1] Natl Chung Cheng Univ, Dept Informat Management, Chiayi, Taiwan

来源：

2023 IEEE 43RD INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS, ICDCS | 2023年

关键词：

stock price trend prediction; text mining; data mining; machine learning; deep learning; news-based analysis;

D O I：

10.1109/ICDCS57875.2023.00123

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Many research highlights the incorporation of various dimensions in stock price prediction, encompassing fundamental, technical, float, and news/community-based information analysis. However, differing opinions may hinder rapid investment decision-making. Therefore, this research aims to utilize stock price trend prediction models to assist investors in making more effective decisions upon receiving news/community-based information since it is more accessible and comprehensible to many investors. This research gathers stock and technical data from Yahoo Finance!, fundamental data from Macro Trends, text data for employee reviews from Glassdoor for various companies in the analysis. The study employs Random Forest, Extreme Gradient Boosting, Recurrent Neural Network, and Long Short-Term Memory to develop stock price trend prediction models, aiming to provide future guidance for investors' decision-making processes.

引用

页码：1067 / 1068

页数：2

共 50 条

[1] Stock Closing Price Prediction Using Machine Learning
Werawithayaset, Pawee
Tritilanunt, Suratose
[J]. 2019 17TH INTERNATIONAL CONFERENCE ON ICT AND KNOWLEDGE ENGINEERING (ICT&KE), 2019, : 10 - 17
[2] STOCK PRICE PREDICTION USING MACHINE LEARNING TECHNIQUES
Sarode, Sumeet
Tolani, Harsha G.
Kak, Prateek
Lifna, C. S.
[J]. PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON INTELLIGENT SUSTAINABLE SYSTEMS (ICISS 2019), 2019, : 177 - 181
[3] Stock Closing Price Prediction using Machine Learning Techniques
Vijh, Mehar
Chandola, Deeksha
Tikkiwal, Vinay Anand
Kumar, Arun
[J]. INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE, 2020, 167 : 599 - 606
[4] A Machine Learning Approach for Stock Price Prediction
Leung, Carson Kai-Sang
MacKinnon, Richard Kyle
Wang, Yang
[J]. PROCEEDINGS OF THE 18TH INTERNATIONAL DATABASE ENGINEERING AND APPLICATIONS SYMPOSIUM (IDEAS14), 2014, : 274 - 277
[5] Machine Learning Models for Stock Price Prediction
Nassif, Ali Bou
AlaaEddin, Maha
Sahib, Amna Akram
[J]. 2020 SEVENTH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY TRENDS (ITT 2020), 2020, : 67 - 71
[6] Stock Price Prediction Based on Machine Learning Algorithms
Wang, Hanchen
[J]. MODERN INDUSTRIAL IOT, BIG DATA AND SUPPLY CHAIN, IIOTBDSC 2020, 2021, 218 : 111 - 118
[7] Stock price prediction using reinforcement learning
Lee, JW
[J]. ISIE 2001: IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS PROCEEDINGS, VOLS I-III, 2001, : 690 - 695
[8] A Proposal of a Method to Determine the Appropriate Learning Period in Stock Price Prediction Using Machine Learning
Shirata, Ryuya
Harada, Taku
[J]. IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2024, 19 (05) : 726 - 732
[9] Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms
Nikou, Mahla
Mansourfar, Gholamreza
Bagherzadeh, Jamshid
[J]. INTELLIGENT SYSTEMS IN ACCOUNTING FINANCE & MANAGEMENT, 2019, 26 (04): : 164 - 174
[10] Stock Price Prediction Using Time Series, Econometric, Machine Learning, and Deep Learning Models
Chatterjee, Ananda
Bhowmick, Hrisav
Sen, Jaydip
[J]. 2021 IEEE Mysore Sub Section International Conference, MysuruCon 2021, 2021, : 289 - 296

← 1 2 3 4 5 →