Crypto fear & greed index signals (sentiment momentum, extreme-regime flags, contrarian z-scores)
Daily market-sentiment signals derived from the alternative.me Crypto Fear & Greed Index (0-100, keyless free API, history from 2018-02-01): 7-day and 30-day sentiment momentum, 30-day change volatility, 3-sigma anomaly flags, extreme fear/greed regime flags (<=15 / >=85), consecutive-days regime streaks, a 90-day contrarian z-score and naive-drift 1-month forecasts. The sentiment companion to the price-based crypto market signals — no price data here. All rows are normalized to country_code WLD (World). Raw index: alternative.me (free keyless API).
Qualité
Attribution
alternative.me Crypto Fear & Greed Index; derived signals by Frontier Data Hub
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Index date (alternative.me API field timestamp, converted to YYYY-MM-DD, UTC). |
| country | string | |
| country_code | string | |
| series_id | string | Series identifier; always FNG for the Crypto Fear & Greed Index. |
| series_label | string | Provider label: Crypto Fear & Greed Index (alternative.me). |
| value | integer | Index value as published by alternative.me (API field value): 0 = extreme fear, 100 = extreme greed. |
| sentiment_score | integer | |
| sentiment_label | string | Provider classification for the day (alternative.me API field value_classification): Extreme Fear, Fear, Neutral, Greed or Extreme Greed. |
| momentum_7d | float | |
| momentum_30d | float | |
| volatility_30d | float | |
| anomaly_flag | integer | |
| extreme_flag | integer | |
| regime_streak | integer | |
| sentiment_z_90d | float | |
| forecast_1m | float |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | sentiment_score | sentiment_label | momentum_7d | momentum_30d | volatility_30d | anomaly_flag | extreme_flag | regime_streak | sentiment_z_90d | forecast_1m |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-02-01 | World | WLD | FNG | Crypto Fear & Greed Index | 30 | 30 | Fear | — | — | — | 0 | 0 | 1 | — | — |
| 2018-02-02 | World | WLD | FNG | Crypto Fear & Greed Index | 15 | 15 | Extreme Fear | — | — | — | 0 | 1 | 1 | — | — |
| 2018-02-03 | World | WLD | FNG | Crypto Fear & Greed Index | 40 | 40 | Fear | — | — | — | 0 | 0 | 1 | — | — |
| 2018-02-04 | World | WLD | FNG | Crypto Fear & Greed Index | 24 | 24 | Extreme Fear | — | — | — | 0 | 0 | 1 | — | — |
| 2018-02-05 | World | WLD | FNG | Crypto Fear & Greed Index | 11 | 11 | Extreme Fear | — | — | — | 0 | 1 | 2 | — | — |
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/fng_signals/crypto_fear_greed_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/fng_signals/crypto_fear_greed_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/fng_signals/crypto_fear_greed_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.