---
license: cc-by-4.0
language:
  - en
tags:
  - finance
  - cryptocurrency
  - ohlcv
  - candles
  - trading
  - time-series
  - bitcoin
  - btc
pretty_name: BTC-USDT 4-Hour Candles (2017-08-17 to 2026-08-13)
size_categories:
  - 10K<n<100K
task_categories:
  - time-series-forecasting
dataset_info:
  features:
    - name: timestamp
      dtype: int64
    - name: open
      dtype: float64
    - name: high
      dtype: float64
    - name: low
      dtype: float64
    - name: close
      dtype: float64
    - name: volume
      dtype: float64
  splits:
    - name: train
      num_examples: 19686
  download_size: 2176974
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/*.jsonl
---

# BTC-USDT 4-Hour Candles

Full-history 4-Hour-resolution OHLCV candlestick data for the **BTC-USDT**
trading pair (Bitcoin), from **2017-08-17T04:00:00Z** to **2026-08-13T20:00:00Z** (19,686 candles, UTC).
Covers the pair's entire listed history from first traded candle to the most
recent completed daily session.

## Columns

| Column | Type | Description |
|---|---|---|
| `timestamp` | int64 | Candle open time, Unix epoch **milliseconds** (UTC) |
| `open` | float | Open price |
| `high` | float | High price |
| `low` | float | Low price |
| `close` | float | Close price |
| `volume` | float | Base asset volume (BTC) |

Each row is one 4h candle. Prices are quoted in USDT.

## Data Quality

- Timestamps normalized to millisecond precision (UTC), strictly increasing, deduplicated.
- OHLC sanity-checked: `high >= max(open, close, low)` and `low <= min(open, close, high)`.
- Missing candles correspond to periods with no traded activity (no candle was
  produced for those intervals).

## Load

```python
from datasets import load_dataset

ds = load_dataset("humblefool06/btc-usdt-4h-candles", split="train")
```

Or directly from the JSONL file:

```python
from datasets import load_dataset

ds = load_dataset("json", data_files="data/btc_usdt_4h.jsonl", split="train")
```

## License

Released under the Creative Commons Attribution 4.0 International license
(**CC-BY-4.0**). You are free to share and adapt this data for any purpose,
including commercially, provided you give appropriate credit. Provided as-is,
without warranty of any kind.