linxy/CryptoCoin

Crypto Coin Historical Data (2018-2026)

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 2026-07-18 00:33:00 UTC.

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

1. Exchange-Specific Bias: Data reflects Binance's order book, not global market activity
2. Temporal Limitations: Missing data during Binance outages or API failures
3. Market Volatility: Cryptocurrency markets are highly volatile, affecting model stability
4. 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)