A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques

被引：41

作者：

Obthong, Mehtabhorn ^{[1
]}

Tantisantiwong, Nongnuch ^{[2
]}

Jeamwatthanachai, Watthanasak ^{[1
]}

Wills, Gary ^{[1
]}

机构：

[1] Univ Southampton, Sch Elect & Comp Sci, Southampton, Hants, England

[2] Nottingham Trent Univ, Nottingham Business Sch, Nottingham, England

来源：

FEMIB: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON FINANCE, ECONOMICS, MANAGEMENT AND IT BUSINESS | 2020年

关键词：

Machine Learning; Deep Learning; Finance; Stock Price Prediction; Time Series Analysis; ARTIFICIAL NEURAL-NETWORKS; RECOGNITION;

D O I：

10.5220/0009340700630071

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Stock market trading is an activity in which investors need fast and accurate information to make effective decisions. Since many stocks are traded on a stock exchange, numerous factors influence the decision-making process. Moreover, the behaviour of stock prices is uncertain and hard to predict. For these reasons, stock price prediction is an important process and a challenging one. This leads to the research of finding the most effective prediction model that generates the most accurate prediction with the lowest error percentage. This paper reviews studies on machine learning techniques and algorithm employed to improve the accuracy of stock price prediction.

引用

页码：63 / 71

页数：9

共 50 条

[21] Poster:Stock Price Prediction using Machine Learning
Chen, Kuan-Yu
Lee, Pei-Ju
Liu, Shang-Chien
2023 IEEE 43RD INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS, ICDCS, 2023, : 1067 - 1068
[22] Advancing Financial Forecasts: Stock Price Prediction Based on Time Series and Machine Learning Techniques
Yang, Cheng-Ying
Hwang, Min-Shiang
Tseng, Yu-Wei
Yang, Chou-Chen
Shen, Victor R. L.
APPLIED ARTIFICIAL INTELLIGENCE, 2024, 38 (01)
[23] Machine learning techniques and use of event information for stock market prediction: A survey and evaluation
Yoo, Paul D.
Kim, Maria H.
Jan, Tony
INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 2, PROCEEDINGS, 2006, : 835 - +
[24] House Price Prediction Using Machine Learning Algorithms
Vineeth, Naalla
Ayyappa, Maturi
Bharathi, B.
SOFT COMPUTING SYSTEMS, ICSCS 2018, 2018, 837 : 425 - 433
[25] Cryptocurrency price prediction using traditional statistical and machine-learning techniques: A survey
Khedr, Ahmed M.
Arif, Ifra
Raj, Pravija P., V
El-Bannany, Magdi
Alhashmi, Saadat M.
Sreedharan, Meenu
INTELLIGENT SYSTEMS IN ACCOUNTING FINANCE & MANAGEMENT, 2021, 28 (01): : 3 - 34
[26] Prediction of the direction of stock prices by machine learning techniques
Kim, Yonghwan
Song, Seongjoo
KOREAN JOURNAL OF APPLIED STATISTICS, 2021, 34 (05) : 745 - 760
[27] Stock Market Prediction Using Machine Learning Techniques
Usmani, Mehak
Adil, Syed Hasan
Raza, Kaman
Ali, Syed Saad Azhar
2016 3RD INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCES (ICCOINS), 2016, : 322 - 327
[28] A Survey of Forex and Stock Price Prediction Using Deep Learning
Hu, Zexin
Zhao, Yiqi
Khushi, Matloob
APPLIED SYSTEM INNOVATION, 2021, 4 (01)
[29] Car Price Prediction using Machine Learning Techniques
Gegic, Enis
Isakovic, Becir
Keco, Dino
Masetic, Zerina
Kevric, Jasmin
TEM JOURNAL-TECHNOLOGY EDUCATION MANAGEMENT INFORMATICS, 2019, 8 (01): : 113 - 118
[30] Comparing Machine Learning Techniques for House Price Prediction
Fourkiotis, Konstantinos Panagiotis
Tsadiras, Athanasios
ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2023, PT II, 2023, 676 : 292 - 303

← 1 2 3 4 5 →