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Download README.md from humblefool06/SOL_USDT_1m_candles: direct link, hf CLI and curl.
- Browser
- Download file 1.54 kB
-
https://huggingface.co/datasets/humblefool06/SOL_USDT_1m_candles/resolve/main/README.md
- Command line
-
hf download hf://datasets/humblefool06/SOL_USDT_1m_candles/README.md
-
curl -L -o README.md https://huggingface.co/datasets/humblefool06/SOL_USDT_1m_candles/resolve/main/README.md
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.