Digital Signal Processing for Predicting Stock Prices Using IBM Cloud Watson Studio

International Journal of Computer Science and Engineering

© 2020 by SSRG - IJCSE Journal

Volume 7 Issue 1

Year of Publication : 2020

Authors : Ibuomo R. Tebepah

10.14445/23488387/IJCSE-V7I1P102

How to Cite?

Ibuomo R. Tebepah, "Digital Signal Processing for Predicting Stock Prices Using IBM Cloud Watson Studio," SSRG International Journal of Computer Science and Engineering , vol. 7,  no. 1, pp. 7-11, 2020. Crossref, https://doi.org/10.14445/23488387/IJCSE-V7I1P102

Abstract:

Research on automated systems for stock market price prediction has gained much momentum in recent years due to its potentials to yield profits. As it
is shown in the review of related works, researchers have experimented different algorithms in Artificial intelligence with the aim of achieving greater accuracy rate. In this work, the research presents a review trading systems and demonstrates how it works using Neural Network algorithm and Linear
predicting algorithm embedded in IBM cloud Watson studio.

Keywords:

machine learning, IBM Cloud, digital signal processing, artificial intelligence

References:

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