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International Conference on Information Technology & Systems

ICITS 2019: Information Technology and Systems pp 539–547Cite as

Stock Market Data Prediction Using Machine Learning Techniques

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 918)

Abstract

This paper studies the possibilities of making prediction of stock market prices using historical data and machine learning algorithms. We have experimented with stock market data of the Apple Inc. using random trees and multilayer perceptron algorithms to perform the predictions of closing prices. An accuracy analysis was also conducted to determine how useful can these types of supervised machine learning algorithms could be in the financial field. These types of studies could also be researched with data from the Ecuadorian stock market exchanges i.e. Bolsa de Valores de Quito (BVQ) and Bolsa de Valores de Guayaquil (BVG) to evaluate the effectiveness of the algorithms in less liquid markets and possibly help reduce inefficiency costs for market participants and stakeholders.

Keywords

  • Machine learning
  • Stock market
  • Artificial intelligence
  • Prediction

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Author information

Authors and Affiliations

  1. Facultad de Ingeniería de Sistemas, Escuela Politécnica Nacional, Quito, Ecuador

    Edgar P. Torres P., Myriam Hernández-Álvarez & Sang Guun Yoo

  2. Facultad de Ciencias Administrativas, Pontificia Universidad Católica del Ecuador, Quito, Ecuador

    Edgar A. Torres Hernández

Authors
  1. Edgar P. Torres P.
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  2. Myriam Hernández-Álvarez
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  3. Edgar A. Torres Hernández
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  4. Sang Guun Yoo
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Corresponding author

Correspondence to Edgar P. Torres P. .

Editor information

Editors and Affiliations

  1. DEI/FCT, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. Facultad de Geografía, Universidad de Santiago de Compostela, Santiago Compostela, La Coruña, Spain

    Prof. Dr. Carlos Ferrás

  3. Departamento de Eléctrica, Electrónica y Telecomunicaciones, Universidad de las Fuerzas Armadas “ESPE”, Sangolqui, Ecuador

    Manolo Paredes

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Torres P., E.P., Hernández-Álvarez, M., Torres Hernández, E.A., Yoo, S.G. (2019). Stock Market Data Prediction Using Machine Learning Techniques. In: Rocha, Á., Ferrás, C., Paredes, M. (eds) Information Technology and Systems. ICITS 2019. Advances in Intelligent Systems and Computing, vol 918. Springer, Cham. https://doi.org/10.1007/978-3-030-11890-7_52

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