Crypto QC clean AI-training-safe

BTC Digital

Is Bitcoin trading as DIGITAL GOLD or as a RISK ASSET right now - the whole thesis in one daily panel. Gold and 'digital-gold' BTC trade INVERSELY to real yields (a monetary-debasement hedge); a risk asset instead co-moves with nominal yields. We roll BTC daily returns against US real yields (10Y + 5Y - the digital-gold signal) and the nominal 10Y (the risk-asset check), then add BTC realized volatility, a composite DIGITAL-GOLD SCORE (= -correlation with real yields; higher = more gold-like) and a discrete REGIME label (+1 digital-gold / 0 neutral / -1 risk-asset). Seven signals, daily, over the full BTC history. Cross-source: Hyperliquid BTC mark price × US Treasury real + nominal yields.

5K
rows
1
zones
2023-2026
coverage
0.1 MB
download
Source
derived
Licence
Redistributable open data
Updates
Daily
Data through
2026-06-29
Quality
QC clean · 0 failures
Format
Apache Parquet + dictionary

Safe to train on

Built only from a named, redistributable official source under a documented open licence - not scraped web data. No copyright grey zone, no personal data. Ships machine-readable Croissant metadata (ML Commons - loads in Hugging Face / Kaggle / Google), an AI training-licence manifest documenting source, licence and provenance for your model's data governance, and a machine-readable data dictionary (drop it into an agent / RAG prompt so the model knows every column) - all inspectable before you buy.

What's included

  • 7 daily signals: BTC-vs-real-yield correlation (10Y 30d/90d, 5Y 90d), BTC-vs-nominal-10Y correlation, BTC realized vol (30d), a composite digital-gold score, and a regime label
  • Digital-gold regime = BTC moves INVERSELY to real yields (debasement hedge); risk-asset = co-moves
  • regime: +1 digital-gold / 0 neutral / -1 risk-asset - a ready-to-use classifier per day
  • Daily, over the full HL BTC history 2023-05 → present
  • Cross-source analytic; aggregate market data, no wallets, no CEX
  • Sources: Hyperliquid asset-context data + US Treasury real + nominal yield curves - derived

Schema

ColumnTypeDescriptionFilledDistinct
zone str BTC 100.0% 1
ts timestamp (UTC) Day 100.0% 774
metric str corr_realyield10_30d / _90d, corr_realyield5_90d, corr_nominal10_90d, realized_vol_30d, digital_gold_score, regime 100.0% 7
value float Correlation [-1,1], annualized vol %, score, or regime (+1/0/-1) 100.0% 4,260
unit str unit 100.0% 1
res_min int Native resolution (daily = 1440) 100.0% 1

Sample & preview

Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: derived (redistributable open data; attribution passes through - see our Licence).

Don't trust screenshots - drop the sample into your notebook right now.

import pandas as pd
df = pd.read_parquet("hyperliquid-btc-real-yield-regime_sample.parquet")
df.info()   # typed columns, gap-aware, ready to join
⬇ Download free Parquet sample or CSV for Excel
Coverage: 1 zones

BTC

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