JrVillabona/resonance-data

Resonance Macro and Market Data

Daily-normalized macro, economic, market, crypto, on-chain, DeFi, derivatives, and ETF time series for research and model training.

This Hugging Face dataset package is generated from the Resonance data collector. The primary table is long-format Parquet:

data/train.parquet

Columns

• symbol: canonical series name from config/symbols.json
• date: normalized observation date
• open, high, low, close, volume: canonical OHLCV-compatible values
• source, ticker, category, data_type, frequency, description: series metadata

For single-value macro/economic series, open = high = low = close and volume = 0.

Quick Start

from datasets import load_dataset

ds = load_dataset("JrVillabona/resonance-data", split="train")
btc = ds.filter(lambda row: row["symbol"] == "BTC")

import pandas as pd

url = "hf://datasets/JrVillabona/resonance-data/data/train.parquet"
df = pd.read_parquet(url)

Package Manifest

{
  "generated_at_utc": "2026-06-04T23:54:59+00:00",
  "package_type": "huggingface_long_parquet",
  "symbols_configured": 1542,
  "symbols_materialized": 1347,
  "rows": 813827,
  "start_date": "1854-12-01",
  "end_date": "2026-06-05",
  "parquet_file": "data/train.parquet",
  "skipped_unconfigured_files": []
}

Documentation

• DATA_DICTIONARY.md: researcher-friendly series descriptions by category.
• DATA_CATALOG.md: source, endpoint, unit, materialization status, and quality notes.
• USAGE_GUIDE.md: loading and alignment guidance.

Important Notes

This dataset aggregates third-party public data sources. Check each upstream source's terms before commercial redistribution or regulated use.