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

Mehtabhorn Obthong; Nongnuch Tantisantiwong; Watthanasak Jeamwatthanachai; Gary Wills

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Paper

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

Topics: Business for AI and Deep Learning; Business for Big Data, Internet of Things and Cloud Computing; Financial Analysis; Stock, Currency and Bonds; Technological Forecasting and Social Change; Technologies for Finance, Economics, Management And/Or IT Business

In Proceedings of the 2nd International Conference on Finance, Economics, Management and IT Business FEMIB - Volume 1, 63-71, 2020

Authors: Mehtabhorn Obthong ¹ ; Nongnuch Tantisantiwong ² ; Watthanasak Jeamwatthanachai ¹ and Gary Wills ¹

Affiliations: ¹ School of Electronics and Computer Science, University of Southampton, Southampton, U.K. ; ² Nottingham Business School, Nottingham Trent University, Nottingham, U.K.

Keyword(s): Machine Learning, Deep Learning, Finance, Stock Price Prediction, Time Series Analysis.

Abstract: 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.

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Paper citation in several formats:

Obthong, M.; Tantisantiwong, N.; Jeamwatthanachai, W. and Wills, G. (2020). A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques. In Proceedings of the 2nd International Conference on Finance, Economics, Management and IT Business - FEMIB; ISBN 978-989-758-422-0, SciTePress, pages 63-71. DOI: 10.5220/0009340700630071

@conference{femib20,
author={Mehtabhorn Obthong. and Nongnuch Tantisantiwong. and Watthanasak Jeamwatthanachai. and Gary Wills.},
title={A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques},
booktitle={Proceedings of the 2nd International Conference on Finance, Economics, Management and IT Business - FEMIB},
year={2020},
pages={63-71},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009340700630071},
isbn={978-989-758-422-0},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Finance, Economics, Management and IT Business - FEMIB
TI - A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques
SN - 978-989-758-422-0
AU - Obthong, M.
AU - Tantisantiwong, N.
AU - Jeamwatthanachai, W.
AU - Wills, G.
PY - 2020
SP - 63
EP - 71
DO - 10.5220/0009340700630071
PB - SciTePress