Stock Market Models using the Trend Using Support Vector Machines |
Ivana Markovic, Jelena Stankovic, Miloš Stojanovic, Miloš Bozic University of Nis Trg Kralja Aleksandra Ujedinitelja 11 Niš, Serbia., Aleksandra Medvedeva 20 18000 Niš, Serbia |
Abstract: For generating model for stock markets, we have basically deployed the Least Squares Support Vector Machines (LS-SVMs) through which the classification is made. It also supports the trend prediction. We used the web based technical indications for the feature selection. We have conducted the experimentation and the results indicate that the suggested model is suitable for short-term prediction of changes in the stock market trend index. |
Keywords: Stock Market Trend Prediction, The Least Squares Support Vector Machines (LS-SVMS), Classification Stock Market Models using the Trend Using Support Vector Machines |
DOI:https://doi.org/10.6025/jio/2021/11/2/41-47 |
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References: [1] Huang, W., Nakamori, Y., Wang, S. Y. (2005). Forecasting stock market movement direction with support vector machine, Computers & Operations Research, 32 (10) 2513– 2522. |