Bitcoin network-health signals
Daily Bitcoin on-chain network-health signals from Blockchain.com's keyless charts (full history, 2011 ->): hash rate (TH/s), confirmed transactions per day, transaction fees (USD/day), mining difficulty, and total miner revenue (USD/day), with 90-day momentum, year-on-year change, 30-day change volatility, 3-sigma anomaly flags, naive-drift forecasts, a 5-year network z-score, a miner-capitulation drawdown flag, and a fee-congestion flag. The network-fundamentals companion to crypto-price-signals (what the market says) and crypto-fear-greed-index-signals (what it feels) — this watches what the chain does. All rows normalized to country_code WLD (global network). Raw data: Blockchain.com charts API.
Qualité
Attribution
Blockchain.com charts statistics; derived signals by Frontier Data Hub
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Day of observation (Blockchain.com charts API, daily granularity, UTC). |
| country | string | |
| country_code | string | |
| series_id | string | HASH_RATE (estimated network hash rate), N_TX (confirmed transactions per day), FEES_USD (total transaction fees in USD), DIFFICULTY (mining difficulty), MINER_REV (total miner revenue in USD). |
| series_label | string | Chart statistic as labeled by Blockchain.com, e.g. 'Bitcoin network hash rate (estimated TH/s, daily)'. |
| value | float | Daily value of the chart statistic in its native unit: TH/s for HASH_RATE, transactions for N_TX, USD for FEES_USD and MINER_REV, relative units for DIFFICULTY. |
| momentum_3m | float | |
| yoy_change | float | |
| volatility_30d | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| network_z_5y | float | |
| hashrate_drawdown_flag | integer | |
| congestion_flag | integer |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | momentum_3m | yoy_change | volatility_30d | anomaly_flag | forecast_1m | network_z_5y | hashrate_drawdown_flag | congestion_flag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-01-03 | World | WLD | DIFFICULTY | Bitcoin mining difficulty (relative units, daily) | 1 | — | — | — | 0 | 1 | — | 0 | 0 |
| 2009-01-04 | — | — | DIFFICULTY | Bitcoin mining difficulty (relative units, daily) | 1 | — | — | — | 0 | 1 | — | 0 | 0 |
| 2009-01-05 | — | — | DIFFICULTY | Bitcoin mining difficulty (relative units, daily) | 1 | — | — | — | 0 | 1 | — | 0 | 0 |
| 2009-01-06 | — | — | DIFFICULTY | Bitcoin mining difficulty (relative units, daily) | 1 | — | — | — | 0 | 1 | — | 0 | 0 |
| 2009-01-07 | World | WLD | DIFFICULTY | Bitcoin mining difficulty (relative units, daily) | 0 | — | — | — | 0 | — | — | 0 | 0 |
Télécharger un échantillon
Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).
Utiliser avec un LLM
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/btc_network_signals/btc_network_health_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/btc_network_signals/btc_network_health_signals").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)Point d’accès API: https://datazimuts.com/v1/datasets/btc_network_signals/btc_network_health_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.