AUTHOR=Dikovitsky Vladimir 

TITLE=Short-term cryptocurrency price forecasting based on news headline analysis

JOURNAL=Frontiers in Blockchain

VOLUME=Volume 8 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/blockchain/articles/10.3389/fbloc.2025.1627769

DOI=10.3389/fbloc.2025.1627769

ISSN=2624-7852

ABSTRACT=IntroductionThis article presents a method for short-term cryptocurrency price forecasting utilizing news headlines.MethodsThe study analyzes the impact of news on asset prices within one hour of publication, employing machine learning-based classification with BERT and GPT models, as well as GloVe vector representations.ResultsThe proposed cascade classifier model enhances prediction accuracy by initially assessing the strength of a news item and subsequently forecasting the direction of price movement. Experimental results demonstrate the effectiveness of the developed classification model.DiscussionThe model achieves an accuracy of 79% in predicting price movements, confirming the potential of leveraging news headlines to improve short-term forecasts in cryptocurrency markets.