Datasets:
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README.md
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pretty_name: 加密货币数据集
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size_categories:
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- 10M<n<100M
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---
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pretty_name: 加密货币数据集
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size_categories:
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- 10M<n<100M
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---
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# Crypto Coin Historical Data (2018-2025)
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A cryptocurrency dataset containing Bitcoin (BTC/USDT) historical price data across multiple timeframes.
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Designed to provide a standardized, easily accessible dataset for cryptocurrency research and algorithmic trading development.
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## Dataset Details
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### Dataset Description
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This dataset provides high-frequency historical price data for Bitcoin (BTC/USDT) from January 1, 2018, to the present. It includes four timeframes:
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- 15-minute (15M)
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- 1-hour (1H)
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- 4-hour (4H)
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- 1-day (1D)
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Each timeframe contains 12 fields per record:
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| Field | Description |
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|---------------------------|-----------------------------------------------------------------------------|
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| Open time | Timestamp marking the start of the interval |
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| Open | Opening price of Bitcoin for the interval |
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| High | Highest price during the interval |
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| Low | Lowest price during the interval |
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| Close | Closing price of Bitcoin for the interval |
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| Volume | Trading volume of Bitcoin during the interval |
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| Close time | Timestamp marking the end of the interval |
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| Quote asset volume | Total quote asset (USDT) volume traded during the interval |
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| Number of trades | Number of trades executed within the interval |
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| Taker buy base asset volume| Volume of Bitcoin bought by takers |
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| Taker buy quote asset volume| Volume of USDT spent by takers |
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| Ignore | Placeholder column from Binance API (unused in analysis) |
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### Dataset Structure
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The dataset consists of four CSV files:
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1. `btc_15m_data_2018_to_2025.csv`
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2. `btc_1h_data_2018_to_2025.csv`
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3. `btc_4h_data_2018_to_2025.csv`
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4. `btc_1d_data_2018_to_2025.csv`
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### Dataset Sources
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- **Repository:** [GitHub Dataset Auto-Updater](https://github.com/LinXueyuanStdio/crypto-coin-dataset-auto-updater)
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- **Data Source:** Binance API
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- **Processing:**
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- Automated daily updates using Python scripts
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- Basic error handling and rate limiting
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- Raw API responses converted to CSV format
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## Uses
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```python
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from datasets import load_dataset
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d = load_dataset("linxy/CryptoCoin", "BTCUSDT/1d")
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```
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## Bias, Risks, and Limitations
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1. **Exchange-Specific Bias:** Data reflects Binance's order book, not global market activity
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2. **Temporal Limitations:** Missing data during Binance outages or API failures
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3. **Market Volatility:** Cryptocurrency markets are highly volatile, affecting model stability
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4. **Latency:** Data updates occur ~15 minutes after interval closure
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## Citation
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```bibtex
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@misc{LinXueyuanStdio2025,
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title = {Crypto Coin Historical Data},
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author = {Xueyuan Lin},
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year = {2025},
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publisher = {GitHub},
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journal = {GitHub repository},
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howpublished = {\url{https://github.com/LinXueyuanStdio/crypto-coin-dataset-auto-updater}}
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}
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```
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## Author
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- LinXueyuanStdio (GitHub: [@LinXueyuanStdio](https://github.com/LinXueyuanStdio))
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