Call For Paper - Upcoming Conferences

Research Article | Open Access
Volume 7 | Issue 1 | Year 2020 | Article Id. IJCSE-V7I1P102 | DOI : https://doi.org/10.14445/23488387/IJCSE-V7I1P102

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

Ibuomo R. Tebepah

Citation :

Ibuomo R. Tebepah, "Digital Signal Processing for Predicting Stock Prices Using IBM Cloud Watson Studio," 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

[1] Shashanklyer, Komdar, N.R., and Soparka, B. (2015), Stock Market Prediction Using Digital Signal Processing Models, ICCT
[2] Sharma, S., and Kaushik, B., (2018), Quantitative Analysis of Stock Market Prediction For Accurate Investment Decisions in Future, Journal of Artificial Intelligence, 11
[3] Wanjawa, B.W., and Muchemi, L. (2014), ANN Model to Predict Stock Prices at Stock Exchange Markets,ResearchGate
[4] Basak, S., Kar, S., Saha, S., Khanidem, L., and Dey, S.R, (2019), Predicting the Direction of Stock Market Prices Using Tree-Base Classifers, The North American Journal of Economics and Finance, 47
[5] Granger, C.W.J, (1992) Forecasting Stock Market Prices: Lessons for Forecasters, International Journal of Forecasting, 8
[6] Singh, A (2018), Stock Prices Prediction Using Machine Learning and Deep Learning Techniques (with Python Codes),
https://www.analyticsvidhya.com/blog/2018/10/predictingstock-price-machine-learningnd-deep-learning-techniquespython/, viewed on 5th November, 2019
[7] Bhat, A., and Kamath, S. (2013), Automated Stock Price Prediction and Framework for Nifty Intraday Trading, Semantic Scholar.