SOL_USDT_1m_candles / README.md
humblefool06's picture
Upload folder using huggingface_hub
6a0be47 verified
|
Raw History Blame Contribute Delete
1.54 kB
metadata
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

from datasets import load_dataset

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

Or directly from the JSONL file:

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.