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Dataset · Hugging Face

CharlieYPeng/cryptogat-crypto-1d

CryptoGAT Cryptocurrency Daily OHLCV Dataset 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.

Author / organizationCharlieYPeng
License (as declared)other
Downloads168 (as reported by Hugging Face)
Likes1
Created6 July 2026
Last updated at source10 July 2026
cryptocurrencycryptofinancequantitative-financeai-for-financetime-seriestimeseriestabulargraph-neural-networksgraph-attention-networkcross-asset-modelingcryptocurrency-forecastingdatasetspandas
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