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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