Hybrid Crow Search Algorithm–LSTM System for Enhanced Stock Price Forecasting

Hybrid Crow Search Algorithm–LSTM System for Enhanced Stock Price Forecasting

This study presents a hybrid crow search algorithm–long short-term memory (CSLSTM) system for forecasting stock prices. This system allows investors to effectively avoid risks and enhance profits by predicting the closing price the following day. This method utilizes a stacking ensemble of long shor...

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Bibliographic Details
Main Authors:	Chang-Long Jiang, Yi-Kuang Tsai, Zhen-En Shao, Shih-Hsiung Lee, Cheng-Che Hsueh, Ko-Wei Huang
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Series:	Applied Sciences
Subjects:	metaheuristic algorithm long short-term memory (LSTM) crow search algorithm (CSA) stock-price forecasting time-series forecasting
Online Access:	https://www.mdpi.com/2076-3417/14/23/11380
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