Processed datasets used in CARROT: Simultaneous Prediction of Anomalies from Groups of Correlated Cryptocurrency Trends for the experiments.
The collection consists of 17 datasets, each related to a specific cryptocurrency from 21 January 2020 to 31 December 2021.
Each dataset contains the preprocessed and normalized sequences of 30 hour of data related to a given crytpocurrency. These sequences where constructed by adding for each hour the 48 financial indicators and the sentiment indicator.
Authors:
Antonio Pellicani, orcid 0000-0002-4193-3486
Gianvito Pio, orcid 0000-0003-2520-3616
Michelangelo Ceci, orcid 0000-0002-6690-7583
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Pellicani, Antonio (2024). Processed 17S Cryptocurrency datasets. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.7359985.v2