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<record>
  <title>Stock Market Models using the Trend Using Support Vector Machines</title>
  <journal>Journal of Information Organization</journal>
  <author>Ivana Markovic, Jelena Stankovic, MiloÅ¡ Stojanovic, MiloÅ¡ Bozic</author>
  <volume>11</volume>
  <issue>2</issue>
  <year>2021</year>
  <doi>https://doi.org/10.6025/jio/2021/11/2/41-47</doi>
  <url>https://www.dline.info/jio/fulltext/v11n2/jiov11n2_2.pdf</url>
  <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.</abstract>
</record>
