Short-term bitcoin market prediction via machine learning
We analyze the predictability of the bitcoin market across prediction horizons ranging from 1 to 60 min. In doing so, we test various machine learning models and find that, while all models outperform a random classifier, recurrent neural networks and gradient boosting classifiers are especially wel...
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| Principais autores: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
KeAi Communications Co., Ltd.
2021-11-01
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| Serier: | Journal of Finance and Data Science |
| Fag: | |
| Online adgang: | http://www.sciencedirect.com/science/article/pii/S2405918821000027 |
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