README.md

---
license: other
tags:
- macroeconomics
- finance
- time-series
- parquet
- market-data
pretty_name: Resonance Macro and Market 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:

```text
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

```python
from datasets import load_dataset

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

```python
import pandas as pd

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

## Package Manifest

```json
{
  "generated_at_utc": "2026-06-06T00:00:47+00:00",
  "package_type": "huggingface_long_parquet",
  "symbols_configured": 1542,
  "symbols_materialized": 1347,
  "rows": 813987,
  "start_date": "1854-12-01",
  "end_date": "2026-06-08",
  "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.