A novel approach for candlestick technical analysis using a combination of the support vector machine and particle swarm optimization

HIGHLIGHTS

• who: Banking and collaborators from the Department of Aerospace Engineering, Carleton University, Ottawa, Canada have published the article: A novel approach for candlestick technical analysis using a combination of the support vector machine and particle swarm optimization, in the Journal: (JOURNAL)
• what: In this research the main purpose is to use a suitable structure to predict the trading signals of the stock market with high accuracy. Two models for the analysis of technical adaptation were used in this study. As there is not enough literature done in this area, in this study hybrid SVM along . . .
  

   

  

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