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Table · dataset · 2026

CryptoGAT Cryptocurrency Daily OHLCV Dataset

Listed in Hugging Face Datasets

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.

Description

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: huggingface.co/datasets/CharlieYPeng/cryptogat-crypto-1d.

Links

Documentation and papers

Catalogue records · 1

Topics

Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsCharlieYPeng/cryptogat-crypto-1d7 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:timeseriessource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:tabularmapping · Hugging Facevocabulary-mapper@1.0.0keywords['tabular']
concepts[task].hf_task:time-series-forecastingsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
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updated_datesource · Hugging Faceconnector:huggingface@1.0.0