Datasets:
Crypto OHLCV 1-Minute Dataset
Description
1-minute OHLCV (Open, High, Low, Close, Volume) candle data for 1 cryptocurrency trading pairs on Binance spot, covering 90 days of history.
Generated on 2026-03-17.
Symbols
1000CHEEMS/USDT
Schema
| Column | Type | Description |
|---|---|---|
| timestamp | datetime64[ns, UTC] | Candle open time |
| open | float64 | Opening price (USDT) |
| high | float64 | Highest price in interval |
| low | float64 | Lowest price in interval |
| close | float64 | Closing price (USDT) |
| volume | float64 | Base asset volume |
| symbol | string | Trading pair (e.g. BTC/USDT) |
Usage
from datasets import load_dataset
# Load all symbols
ds = load_dataset("parquet", data_dir="data")
# Load specific symbol
import pandas as pd
df = pd.read_parquet("data/BTC_USDT.parquet")
Cleaning Applied
- Duplicates removed by timestamp
- Dead candles dropped (all OHLC identical with zero volume)
- Invalid rows removed (NaN, non-positive prices, negative volume)
- Small gaps (< 5 consecutive minutes) forward-filled
- Large gaps logged but not filled
- Downloads last month
- 9