Error code:   ConfigNamesError
Exception:    ReadTimeout
Message:      (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 4499f841-30ac-4d7a-8722-4e4a62ac46be)')
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
                  ).get_module()
                    ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 598, in get_module
                  standalone_yaml_path = cached_path(
                                         ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 180, in cached_path
                  ).resolve_path(url_or_filename)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 198, in resolve_path
                  repo_and_revision_exist, err = self._repo_and_revision_exist(repo_type, repo_id, revision)
                                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 125, in _repo_and_revision_exist
                  self._api.repo_info(
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2816, in repo_info
                  return method(
                         ^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2673, in dataset_info
                  r = get_session().get(path, headers=headers, timeout=timeout, params=params)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 602, in get
                  return self.request("GET", url, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 589, in request
                  resp = self.send(prep, **send_kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 703, in send
                  r = adapter.send(request, **kwargs)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 96, in send
                  return super().send(request, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/requests/adapters.py", line 690, in send
                  raise ReadTimeout(e, request=request)
              requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 4499f841-30ac-4d7a-8722-4e4a62ac46be)')

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Crypto Coin Historical Data (2018-2025)

A dataset containing cryptocurrency historical price data across multiple timeframes.

Designed to provide a standardized, easily accessible dataset for cryptocurrency research and algorithmic trading development.

This dataset is automatically updated daily using the Binance API, ensuring that it remains current and relevant for users.

Last updated on 2026-03-31 01:11:57.

Usage

>>> from datasets import load_dataset
>>> dataset = load_dataset("linxy/CryptoCoin", data_files=["BTCUSDT_1d.csv"], split="train")
Dataset({
    features: ['Open time', 'open', 'high', 'low', 'close', 'volume', 'Close time', 'Quote asset volume', 'Number of trades', 'Taker buy base asset volume', 'Taker buy quote asset volume', 'Ignore'],
    num_rows: 2649
})

Dataset Details

Dataset Description

This dataset provides high-frequency historical price data for various cryptocurrencies from January 1, 2018, to the present.

It includes cryptocurrency pairs:

available_pairs = [
    "BTCUSDT", "ETHUSDT", "BNBUSDT", "XRPUSDT", "LTCUSDT",
    "BCHUSDT", "EOSUSDT", "TRXUSDT", "ETCUSDT", "LINKUSDT",
    "DOTUSDT", "ADAUSDT", "SOLUSDT", "MATICUSDT", "AVAXUSDT",
    "FILUSDT", "XLMUSDT", "DOGEUSDT", "SHIBUSDT", "LUNAUSDT",
    "UNIUSDT", "AAVEUSDT", "SANDUSDT", "MANAUSDT", "FTMUSDT",
    "ALGOUSDT", "MATICUSDT", "XEMUSDT", "ZRXUSDT", "BATUSDT",
    "CHZUSDT", "SUSHIUSDT", "CRVUSDT", "YFIUSDT", "COMPUSDT",
    "SNXUSDT", "1INCHUSDT", "LDOUSDT", "RUNEUSDT", "KSMUSDT",
    "ZILUSDT", "HBARUSDT", "MATICUSDT", "FTTUSDT", "WAVESUSDT",
    "HNTUSDT", "ICPUSDT", "FILUSDT", "XEMUSDT", "ZRXUSDT",
    "BATUSDT", "CHZUSDT", "SUSHIUSDT", "CRVUSDT", "YFIUSDT",
    "COMPUSDT", "SNXUSDT", "1INCHUSDT", "LDOUSDT", "RUNEUSDT",
    "KSMUSDT", "ZILUSDT", "HBARUSDT", "MATICUSDT", "FTTUSDT",
    "WAVESUSDT", "HNTUSDT", "ICPUSDT", "FILUSDT", "XEMUSDT",
    "ZRXUSDT", "BATUSDT", "CHZUSDT", "SUSHIUSDT", "CRVUSDT",
    "YFIUSDT", "COMPUSDT", "SNXUSDT", "1INCHUSDT", "LDOUSDT",
    "RUNEUSDT", "KSMUSDT", "ZILUSDT", "HBARUSDT", "MATICUSDT",
    "FTTUSDT", "WAVESUSDT", "HNTUSDT", "ICPUSDT", "FILUSDT",
    "XEMUSDT", "ZRXUSDT", "BATUSDT", "CHZUSDT", "SUSHIUSDT",
    "CRVUSDT", "YFIUSDT", "COMPUSDT", "SNXUSDT", "1INCHUSDT",
    "LDOUSDT", "RUNEUSDT", "KSMUSDT", "ZILUSDT", "HBARUSDT",
    "MATICUSDT", "FTTUSDT", "WAVESUSDT", "HNTUSDT", "ICPUSDT",
    "FILUSDT", "XEMUSDT", "ZRXUSDT", "BATUSDT", "CHZUSDT",
    "SUSHIUSDT", "CRVUSDT", "YFIUSDT", "COMPUSDT", "SNXUSDT",
    "1INCHUSDT", "LDOUSDT", "RUNEUSDT", "KSMUSDT", "ZILUSDT",
    "HBARUSDT", "MATICUSDT", "FTTUSDT", "WAVESUSDT", "HNTUSDT",
    "ICPUSDT", "FILUSDT", "XEMUSDT", "ZRXUSDT", "BATUSDT",
    "CHZUSDT", "SUSHIUSDT", "CRVUSDT", "YFIUSDT", "COMPUSDT",
    "SNXUSDT", "1INCHUSDT", "LDOUSDT", "RUNEUSDT", "KSMUSDT",
    "ZILUSDT", "HBARUSDT", "MATICUSDT", "FTTUSDT", "WAVESUSDT",
]

It includes timeframes:

1-minute (1M)
3-minute (3M)
5-minute (5M)
15-minute (15M)
30-minute (30M)
1-hour (1H)
2-hour (2H)
4-hour (4H)
6-hour (6H)
8-hour (8H)
12-hour (12H)
1-day (1D)

available_timeframes = [
    "1m", "3m", "5m", "15m", "30m",
    "1h", "2h", "4h", "6h", "8h",
    "12h", "1d"
]

Each timeframe contains 12 fields per record:

Field	Description
Open time	Timestamp marking the start of the interval
open	Opening price of Bitcoin for the interval
high	Highest price during the interval
low	Lowest price during the interval
close	Closing price of Bitcoin for the interval
volume	Trading volume of Bitcoin during the interval
Close time	Timestamp marking the end of the interval
Quote asset volume	Total quote asset (USDT) volume traded during the interval
Number of trades	Number of trades executed within the interval
Taker buy base asset volume	Volume of Bitcoin bought by takers
Taker buy quote asset volume	Volume of USDT spent by takers
Ignore	Placeholder column from Binance API (unused in analysis)

columns = [
    "Open time", "open", "high", "low", "close", "volume",
    "Close time", "Quote asset volume",
    "Number of trades", "Taker buy base asset volume",
    "Taker buy quote asset volume", "Ignore"
]

Dataset Sources

Repository: GitHub Dataset Auto-Updater
Data Source: Binance API
Processing:
- Automated daily updates using Python scripts
- Basic error handling and rate limiting
- Raw API responses converted to CSV format

Bias, Risks, and Limitations

Exchange-Specific Bias: Data reflects Binance's order book, not global market activity
Temporal Limitations: Missing data during Binance outages or API failures
Market Volatility: Cryptocurrency markets are highly volatile, affecting model stability
Latency: Data updates occur ~15 minutes after interval closure

Citation

@misc{LinXueyuanStdio2025,
  title = {Crypto Coin Historical Data},
  author = {Xueyuan Lin},
  year = {2025},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/LinXueyuanStdio/crypto-coin-dataset-auto-updater}}
}

Author

LinXueyuanStdio (GitHub: @LinXueyuanStdio)

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