COMPARISON OF FRUIT FLY OPTIMIZATION ALGORITHM (FOA) AND PARTICLE SWARM OPTIMIZATION (PSO) FOR SUPPORT VECTOR REGRESSION (SVR) IN UNITED TRACTORS STOCK PRICES FORECASTING

Stock price forecasting is one of the analytical approaches used by capital market participants to identify future price movement patterns. This study evaluates the performance of the Support Vector Regression (SVR) model in predicting the stock price of United Tractors (UNTR) by optimizing the mod...

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Autors principals:	Belva Hadaya Wibowo, Iut Tri Utami, Masithoh Yessi Rochayani
Format:	Artigo
Idioma:	Inglês
Publicat:	Universitas Pattimura 2026-01-01
Col·lecció:	Barekeng
Matèries:	Fruit Fly Optimization Particle Swarm Optimization Stock price prediction Support Vector Regression
Accés en línia:	https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/19304
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