---
license: cc-by-4.0
language:
  - en
tags:
  - finance
  - cryptocurrency
  - ohlcv
  - candles
  - solana
  - sol
  - trading
  - time-series
pretty_name: SOL-USDT 1-Minute Candles (2026-01-01 to 2026-07-20)
size_categories:
  - 100K<n<1M
task_categories:
  - time-series-forecasting
dataset_info:
  features:
    - name: timestamp
      dtype: int64
    - name: open
      dtype: float64
    - name: high
      dtype: float64
    - name: low
      dtype: float64
    - name: close
      dtype: float64
    - name: volume
      dtype: float64
  splits:
    - name: train
      num_examples: 289334
---

# SOL-USDT 1-Minute Candles

Minute-resolution OHLCV candlestick data for the **SOL-USDT** trading pair, from
**2026-01-01T00:00:00Z** to **2026-07-20T23:59:00Z** (289,334 candles, UTC).

## Columns

| Column | Type | Description |
|---|---|---|
| `timestamp` | int64 | Candle open time, Unix epoch milliseconds (UTC) |
| `open` | float | Open price |
| `high` | float | High price |
| `low` | float | Low price |
| `close` | float | Close price |
| `volume` | float | Base asset volume (SOL) |

Each row is one 1-minute candle. Prices are quoted in USDT.

## Load

```python
from datasets import load_dataset

ds = load_dataset("<your-username>/sol-usdt-1m-candles", split="train")
```

Or directly from the JSONL file:

```python
from datasets import load_dataset

ds = load_dataset("json", data_files="data/sol_usdt_1m.jsonl", split="train")
```

## License

Released under CC-BY-4.0. Provided as-is, without warranty of any kind.