---
license: mit
task_categories:
  - time-series-forecasting
language:
  - en
tags:
  - crypto
  - finance
  - 1s-klines
  - binance
pretty_name: 1-Second Crypto OHLCV Data (Binance)
size_categories:
  - 1B<n<10B
---

# 1-Second Crypto OHLCV Data (Binance)

Historical 1-second kline (OHLCV) data for 6 major cryptocurrencies
downloaded from [Binance Vision](https://data.binance.vision/).
Updated daily — never more than 24h behind.

## Assets

| Symbol   | Start      | Updated    |
|----------|------------|------------|
| BTCUSDT  | 2019-01    | daily      |
| ETHUSDT  | 2019-01    | daily      |
| BNBUSDT  | 2019-01    | daily      |
| XRPUSDT  | 2019-01    | daily      |
| DOGEUSDT | 2019-07    | daily      |
| SOLUSDT  | 2020-10    | daily      |

## File Structure

```
data/{SYMBOL}_1s.parquet        ← full history, one file per asset
scripts/daily_update.py         ← run to append latest daily data
```

## Schema

| Column       | Type    | Description                   |
|--------------|---------|-------------------------------|
| open_time_s  | int64   | Unix timestamp in **seconds** |
| open         | float64 | 1-second open price           |
| high         | float64 | 1-second high price           |
| low          | float64 | 1-second low price            |
| close        | float64 | 1-second close price          |
| volume       | float64 | Base asset volume             |

## Usage

```python
import pandas as pd

# Load one asset (full history, ~200M rows for BTC)
df = pd.read_parquet(
    "hf://datasets/commanderzee/1s-crypto-data/data/BTCUSDT_1s.parquet"
)

# Load all assets
SYMBOLS = ["BTCUSDT","ETHUSDT","BNBUSDT","XRPUSDT","DOGEUSDT","SOLUSDT"]
frames = {
    sym: pd.read_parquet(
        f"hf://datasets/commanderzee/1s-crypto-data/data/{sym}_1s.parquet"
    )
    for sym in SYMBOLS
}
```

## Daily Auto-Update

The `scripts/daily_update.py` checks the latest timestamp in each asset's
Parquet, downloads any missing days from Binance Vision's
[daily 1s endpoint](https://data.binance.vision/?prefix=data/spot/daily/klines/),
appends new rows, and re-uploads.

```bash
# Run manually (requires HF_TOKEN with write access):
HF_TOKEN=<your_token> python scripts/daily_update.py

# Dry-run (shows what would be fetched, no upload):
HF_TOKEN=<your_token> python scripts/daily_update.py --dry-run

# Update specific symbols only:
HF_TOKEN=<your_token> python scripts/daily_update.py --symbols BTCUSDT ETHUSDT
```

Binance publishes daily files roughly 2–4h after UTC midnight.

## Source

All data from [Binance Vision](https://data.binance.vision/) public archives.
Timestamps normalised to Unix seconds (integer division from raw ms/μs timestamps).
Duplicate bars removed; rows sorted ascending by `open_time_s`.