Machine learning-based approach for predicting the altcoins price direction change from a high-frequency data of seven years based on socio-economic factors, Bitcoin prices, Twitter and news sentiments
Anamika Gupta, Gaurav Pandey, Rajan Gupta, Smaran Das, Ajmera Prakash, Kartik Garg, Shreyan Sarkar
| Year of publication: |
2024
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|---|---|
| Authors: | Gupta, Anamika ; Pandey, Gaurav ; Gupta, Rajan ; Das, Smaran ; Prakash, Ajmera ; Garg, Kartik ; Sarkar, Shreyan |
| Published in: |
Computational economics. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9974, ZDB-ID 1477445-8. - Vol. 64.2024, 5, p. 2981-3026
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| Subject: | Altcoins | Artificial Intelligence | High-frequency | Lag | Machine learning | News sentiments | Socio-economic factors | Twitter sentiments | Künstliche Intelligenz | Artificial intelligence | Social Web | Social web | Prognoseverfahren | Forecasting model | Börsenkurs | Share price | Volatilität | Volatility | Mediale Berichterstattung | Media coverage | Anlageverhalten | Behavioural finance |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10614-023-10538-5 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015144102