rogerdehe/klines-binance

Binance USDT OHLCV Klines (spot + perpetual futures)

Historical OHLCV candlestick (kline) data for Binance USDT markets — both spot and USDT-margined perpetual futures — stored as zstd-compressed Parquet.

Coverage

	spot	futures (USDT perp)
Pairs	~490	~791 (includes delisted — survivorship-bias-free)
Timeframes	1m · 3m · 5m · 15m · 1h · 4h · 1d	1m · 3m · 5m · 15m · 1h · 4h · 8h · 1d
History	2017-08 → 2025-05	2020-05 → 2026-07
Extras	—	sparse mark price & funding_rate for some pairs

• Spot seeded from the DigiTuccar HistoricalDataForTradeBacktest snapshot (static, ~2025-05).
• Futures is fresh to 2026-07 and retains delisted symbols, so it can be used for point-in-time / survivorship-bias-free backtests.

File layout

{market}/{timeframe}/{PAIR}.parquet

Examples:

• spot/1d/BTC_USDT.parquet
• futures/1m/BTC_USDT_USDT.parquet
• futures/1h/BTC_USDT_USDT-mark.parquet (mark price, where available)
• futures/8h/BTC_USDT_USDT-funding_rate.parquet (funding rate, where available)

Spot pairs are BASE_USDT; futures pairs are BASE_USDT_USDT (USDT-margined perp).

Each OHLCV Parquet has columns:

column	type	description
date	datetime (UTC)	candle open time
open	float	open price
high	float	high price
low	float	low price
close	float	close price
volume	float	base-asset volume

Usage

from huggingface_hub import hf_hub_download
import pandas as pd

path = hf_hub_download("rogerdehe/klines-binance",
                       "futures/1d/BTC_USDT_USDT.parquet", repo_type="dataset")
df = pd.read_parquet(path)

Subset / whole dataset:

from huggingface_hub import snapshot_download
snapshot_download("rogerdehe/klines-binance", repo_type="dataset",
                  allow_patterns=["futures/1d/*"])   # e.g. daily futures only

Notes

• Timestamps are UTC. Timeframe coverage varies slightly per pair (some newer listings have shorter history; 1h futures is a partial subset).
• mark / funding_rate files exist only for a subset of futures pairs.
• The HF dataset viewer is disabled (custom per-pair layout); load files directly as above.
• Data provided as-is for research; no warranty of accuracy or completeness.