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Showing 3 of 3 academic articles
Tomislav Kovacevic, Andro Mercep, Stjepan Begusic, Zvonko Kostanjcar • IEEE Access
(2023)
Predicting asset price trends is often posed as a classification problem, where trends are classified as positive or negative. Since asset price series are noisy and volatile, it is difficult to distinguish true trends from short-term fluct...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3303283
Albert Ntumba Nkongolo, Yae Olatoundji Gaba, Kafunda Katalay Pierre, Esther Matendo Mabela et al. • Journal of Innovation Information Technology and Application
(2025)
This study explores the application of natural language processing (NLP) techniques in financial time series forecasting, specifically in predicting stock prices. Historical stock price data and textual data from financial news articles and...
DOAJ
Open Access (DOAJ)
DOI: 10.35970/jinita.v7i1.2290
Wu Huiyong, Zunlong Wang • PLoS ONE
(2025)
With the increasing complexity and prosperity of global financial markets, stock market forecasting plays a critical role in investment decision-making, market regulation, and economic planning. This study proposes a hybrid prediction model...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0330324