Year: 2025
Type: review
Abstract: This paper provides a comprehensive review of the use of machine learning (ML) models in stock market prediction, focusing on the effectiveness of various approaches and the integration of external data sources. The review covers widely used ML models, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Long Short-Term Memory (LSTM) networks, and hybrid models. It compares the performance of these models, highlighting key metrics such as accuracy, precision, and Root Mean Square Error (RMSE).
Author: Divyansh Bhardwaj
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409764858