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Expert Systems With Applications: Yakup Kara, Melek Acar Boyacioglu, Ömer Kaan Baykan by Soleiman Hashemi is a document available to read on EtoBox.

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This study investigates the prediction of stock price index movement using artificial neural networks (ANN) and support vector machines (SVM) on the Istanbul Stock Exchange. The research compares the performance of both models, finding that the ANN model outperforms the SVM model with an accuracy of 75.74% compared to 71.52%. The study emphasizes the challenges of predicting stock movements due to the complexity and noise in financial time series data.

Author

Soleiman Hashemi

Language

EN