Stock price prediction of chinese company using support vector machine

HIGHLIGHTS

• who: Hasee from the Shanghai University, Shanghai, China have published the Article: Stock price prediction of Chinese company using support vector machine, in the Journal: (JOURNAL)
• what: In this paper, the stock price prediction of regression has applied SVM with Pearson VII functionbased universal kernel and compared them with different models using algorithms such as random forest and multilayer perception.
• how: In this paper SVM is used to predict the price of stocks base on the previous data from some companies in the stock market. In this section the correlation of each feature . . .
  

   

  

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