jalvart/ethereum-ohlcv-pack-free-sample
Ethereum OHLCV Pack — Full 6.5-Year Dataset (Free) 6 timeframes · 3.5M candles (1m) · 2020–2026 · Free, no email required Complete Ethereum OHLCV dataset built from audited tick-level trade data by The Glitch List. What's Included 6 Parquet files: 1m, 5m, 15m, 1h, 4h, 1d Coverage: 2020-01-01 → 2026-07-04 (6.5 years) Zero look-ahead bias — verified Format: Apache Parquet (ZSTD compressed) Built from audited ETH/USDT tick-level trades Quick Start… See the full description on the dataset page: https://huggingface.co/datasets/jalvart/ethereum-ohlcv-pack-free-sample.
Ethereum OHLCV Pack — Full 6.5-Year Dataset (Free)
6 timeframes · 3.5M candles (1m) · 2020–2026 · Free, no email required
Complete Ethereum OHLCV dataset built from audited tick-level trade data by The Glitch List.
What's Included
- 6 Parquet files: 1m, 5m, 15m, 1h, 4h, 1d
- Coverage: 2020-01-01 → 2026-07-04 (6.5 years)
- Zero look-ahead bias — verified
- Format: Apache Parquet (ZSTD compressed)
- Built from audited ETH/USDT tick-level trades
Quick Start
import polars as pl
df = pl.read_parquet("ETH_OHLCV_1m.parquet")
print(df.shape)
print(df.head())Need Tick-Level Data?
The OHLCV pack is built from raw tick data. For HFT simulation, order flow imbalance, and market microstructure research, you need the tick-level dataset.
ETH/USDT Last Year — Rolling 12-Month Tick Data ($9): https://whop.com/checkout/ch_1NzGnpXhSJVXb15/
Includes a free Strategy Starter Kit (Jupyter notebook): VWAP, realized volatility, and Order Flow Imbalance — pre-built analysis ready to run. OFI can only be calculated with tick-level data, not OHLCV.
License
Personal research and trading bot development only. No commercial redistribution, resale, or public API deployment.
Citation
If you use this dataset, please credit The Glitch List and link to theglitchlist.com.