A multi-stage machine learning approach for stock price prediction: Engineered and derivative indices

In this paper, a machine learning approach is proposed to predict the next day's stock prices. The methodology involves comprehensive data collection and feature generation, followed by predictions utilizing Multi-Layer Perceptron (MLP) networks. We selected 5,283 records of daily historical da...

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Bibliographic Details
Main Authors: Shaghayegh Abolmakarem, Farshid Abdi, Kaveh Khalili-Damghani, Hosein Didehkhani
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Intelligent Systems with Applications
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305324001236
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