Short-term cryptocurrency price forecasting based on news headline analysis
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...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Blockchain |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fbloc.2025.1627769/full |
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| _version_ | 1850075527701856256 |
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| author | Vladimir Dikovitsky |
| author_facet | Vladimir Dikovitsky |
| author_sort | Vladimir Dikovitsky |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-401b7563d2e94b139011c8e090dce428 |
| institution | DOAJ |
| issn | 2624-7852 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Blockchain |
| spelling | doaj-art-401b7563d2e94b139011c8e090dce4282025-08-20T02:46:17ZengFrontiers Media S.A.Frontiers in Blockchain2624-78522025-07-01810.3389/fbloc.2025.16277691627769Short-term cryptocurrency price forecasting based on news headline analysisVladimir DikovitskyIntroductionThis 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.https://www.frontiersin.org/articles/10.3389/fbloc.2025.1627769/fullcryptocurrencyshort-term forecastingmachine learningGlobal Vectors for word representation (GloVe)bidirectional encoder representations from transformers (BERT)Generative Pre-trained Transformer (GPT) |
| spellingShingle | Vladimir Dikovitsky Short-term cryptocurrency price forecasting based on news headline analysis Frontiers in Blockchain cryptocurrency short-term forecasting machine learning Global Vectors for word representation (GloVe) bidirectional encoder representations from transformers (BERT) Generative Pre-trained Transformer (GPT) |
| title | Short-term cryptocurrency price forecasting based on news headline analysis |
| title_full | Short-term cryptocurrency price forecasting based on news headline analysis |
| title_fullStr | Short-term cryptocurrency price forecasting based on news headline analysis |
| title_full_unstemmed | Short-term cryptocurrency price forecasting based on news headline analysis |
| title_short | Short-term cryptocurrency price forecasting based on news headline analysis |
| title_sort | short term cryptocurrency price forecasting based on news headline analysis |
| topic | cryptocurrency short-term forecasting machine learning Global Vectors for word representation (GloVe) bidirectional encoder representations from transformers (BERT) Generative Pre-trained Transformer (GPT) |
| url | https://www.frontiersin.org/articles/10.3389/fbloc.2025.1627769/full |
| work_keys_str_mv | AT vladimirdikovitsky shorttermcryptocurrencypriceforecastingbasedonnewsheadlineanalysis |