CoolFace
Datasetpublic

jalvart/xrp-tick-level-trade-data-free-sample

XRP Tick-Level Trade Data — Free 1-Week Sample Free sample of tick-level trade data for XRP/USDT, covering February 19–26, 2025. This is a 1-week excerpt from a fully audited historical dataset, part of The Glitch List — a data engineering lab based in Barcelona producing institutional-grade crypto trade datasets. Dataset Summary Rows in this sample: 14,953,863 (verified) Format: Apache Parquet (ZSTD compressed) Period: February 19–26, 2025… See the full description on the dataset page: https://huggingface.co/datasets/jalvart/xrp-tick-level-trade-data-free-sample.

sourceHugging Faceotherupdated 19d agoView on Hugging Face
0likes78downloads
Dataset Card

<p align="center"> <img src="banner.png" alt="XRP Tick-Level Trade Data — Free Sample" width="100%"> </p>

<p align="center"> <img src="https://img.shields.io/badge/format-Apache%20Parquet-blue" alt="parquet"> <img src="https://img.shields.io/badge/audited-row%20by%20row-brightgreen" alt="audited"> <img src="https://img.shields.io/badge/license-personal%20research-orange" alt="license"> </p>

XRP Tick-Level Trade Data — Free 1-Week Sample

Free sample of tick-level trade data for XRP/USDT, covering February 19–26, 2025.

This is a 1-week excerpt from a fully audited historical dataset, part of The Glitch List — a data engineering lab based in Barcelona producing institutional-grade crypto trade datasets.

Dataset Summary

  • —Rows in this sample: 14,953,863 (verified)
  • —Format: Apache Parquet (ZSTD compressed)
  • —Period: February 19–26, 2025
  • —Schema: 7 columns — trade_id, price, qty, quote_qty, time, is_buyer_maker, is_best_match
  • —Quality: Row-by-row audited — no interpolated or synthetic data. Timestamp normalization applied and documented.

Quick Start

python
import pandas as pd
df = pd.read_parquet("data/sample_XRP.parquet")
print(df.shape)
print(df.head())

Or via datasets:

python
from datasets import load_dataset
ds = load_dataset("jalvart/xrp-tick-level-trade-data-free-sample")

Strategy Starter Kit (Free Jupyter Notebook)

The full dataset includes a free Jupyter notebook with pre-built analysis ready to run:

  • —VWAP (Volume Weighted Average Price) — hourly buckets
  • —Realized volatility — rolling 24h window
  • —Order Flow Imbalance (OFI) — buy vs sell taker pressure, tick by tick
⚠️ Order flow imbalance can only be calculated with tick-level data — it cannot be reconstructed from OHLCV candles.

Full Dataset

This sample is a 1-week excerpt from the Last Year rolling dataset — the most recent 12 months of XRP (XRP/USDT) tick-level trade data, updated every quarter.

Full dataset ($9 — rolling 12 months, updated quarterly): https://whop.com/checkout/ch_gVhGdSJ4LMC3ACE/

More assets and full catalog: [theglitchlist.com](<https://theglitchlist.com?utm_source=huggingface&utm_medium=referral&utm_campaign=free_sample>)

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?utm_source=huggingface&utm_medium=referral&utm_campaign=free_sample.