Global crypto market signals (daily volatility, momentum, anomalies, forecasts, drawdowns)
Daily crypto market signals derived from CoinGecko's keyless free API for the 10 largest cryptocurrencies by market capitalization: 30-day annualized volatility, 3-month momentum, 3-sigma anomaly flags, naive-drift 1-month forecasts, a per-day cross-crypto volatility rank and the trailing-365-day drawdown gauge. Keyed to WLD (World); raw prices: CoinGecko (keyless free tier).
Qualité
Attribution
Powered by CoinGecko. Crypto Market Signals are derived ML-enriched signals by Frontier Data Hub; raw price data: CoinGecko.
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Observation date in UTC (CoinGecko /coins/{id}/market_chart prices array: [timestamp (ms), price]; date derived from the timestamp). |
| country | string | |
| country_code | string | |
| series_id | string | CoinGecko coin id (e.g. bitcoin, ethereum; CoinGecko /coins/markets field id). |
| series_label | string | Coin name and symbol as published by CoinGecko (/coins/markets fields name and symbol, e.g. Bitcoin (BTC)). |
| value | float | Daily USD closing price (CoinGecko /coins/{id}/market_chart prices value, vs_currency=usd, interval=daily). |
| volatility_30d | float | |
| momentum_3m | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer | |
| drawdown_1y | float | |
| market_cap_usd | integer | Coin USD market capitalization quoted in the CoinGecko /coins/markets listing at ingest time (field market_cap). |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | volatility_30d | momentum_3m | anomaly_flag | forecast_1m | rank | drawdown_1y | market_cap_usd |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-09-22 | World | WLD | binancecoin | BNB (BNB) | 1048.5669705107362 | — | — | 0 | — | — | 0 | 106338182423 |
| 2025-09-22 | World | WLD | bitcoin | Bitcoin (BTC) | 115255.84820116172 | — | — | 0 | — | — | 0 | 1736604693783 |
| 2025-09-22 | World | WLD | ethereum | Ethereum (ETH) | 4445.964686087343 | — | — | 0 | — | — | 0 | 338281719134 |
| 2025-09-22 | World | WLD | figure-heloc | Figure Heloc (FIGR_HELOC) | 0.9873458 | — | — | 0 | — | — | 0 | 23076390246 |
| 2025-09-22 | World | WLD | ripple | XRP (XRP) | 2.971498698499136 | — | — | 0 | — | — | 0 | 96361288270 |
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/crypto_signals/global_crypto_market_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/crypto_signals/global_crypto_market_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/crypto_signals/global_crypto_market_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.