This dataset accompanies the paper CryptoGAT: Are Time Series Models Effective for Cryptocurrency Forecasting? by Yu Peng, Matloob Khushi, and Josiah Poon.
CryptoGAT studies cryptocurrency forecasting from a cross-asset perspective: instead of relying only on temporal patterns within each coin, it treats the market as a graph of interacting assets and learns relationships across cryptocurrencies. This Hugging Face dataset provides… See the full description on the dataset page:
https://huggingface.co/datasets/CharlieYPeng/cryptogat-crypto-1d.
