CoolFace
Datasetpublic

humblefool06/bnb-usdt-1m-candles

BNB-USDT 1-Minute Candles Full-history minute-resolution OHLCV candlestick data for the BNB-USDT trading pair (BNB), from 2017-11-06T03:54:00Z to 2026-08-13T23:59:00Z (4,603,944 candles, UTC). Covers the pair's entire listed history from first traded minute 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… See the full description on the dataset page: https://huggingface.co/datasets/humblefool06/bnb-usdt-1m-candles.

sourceHugging Facecc-by-4.0updated 1mo agoView on Hugging Face
0likes15downloads
Dataset Card

BNB-USDT 1-Minute Candles

Full-history minute-resolution OHLCV candlestick data for the BNB-USDT trading pair (BNB), from 2017-11-06T03:54:00Z to 2026-08-13T23:59:00Z (4,603,944 candles, UTC). Covers the pair's entire listed history from first traded minute to the most recent completed daily session.

Columns

ColumnTypeDescription
timestampint64Candle open time, Unix epoch milliseconds (UTC)
openfloatOpen price
highfloatHigh price
lowfloatLow price
closefloatClose price
volumefloatBase asset volume (BNB)

Each row is one 1-minute 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 minutes correspond to periods with no traded activity (no candle was produced for those minutes).

Load

python
from datasets import load_dataset

ds = load_dataset("humblefool06/bnb-usdt-1m-candles", split="train")

Or directly from the JSONL file:

python
from datasets import load_dataset

ds = load_dataset("json", data_files="data/bnb_usdt_1m.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.