---
license: mit
task_categories:
  - time-series-forecasting
language:
  - en
tags:
  - crypto
  - cryptocurrency
  - finance
  - ohlcv
  - klines
  - binance
  - futures
  - trading
pretty_name: Binance USDT OHLCV Klines (spot + futures)
size_categories:
  - 1B<n<10B
---

# 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

```python
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:
```python
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.