Integration of technical analysis and machine learning to improve stock price prediction accuracy

HIGHLIGHTS

• What: Revised: 18 October 2024 Accepted: 24 October 2024 Available online: 29 November 2024 This study examines the application of machine learning methods to improve the of stock price prediction by integrating technical analysis. The authors evaluate machine learning algorithms such as Support Vector Machine (SVM) Random Forest Neural Networks and Logistic Regression in the context of stock price prediction by utilizing technical indicators such as Moving Average Relative Strength Index (RSI) and MACD. While this approach provides a useful foundation, reliance on historical data can limit the model`s ability to anticipate unexpected market events . This . . .
  

   

  

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