Crypto Fear & Greed signals (crypto sentiment regimes)
Daily crypto-sentiment signals from the alternative.me Crypto Fear and Greed Index (2018-02 ->, 0–100): 7-day and 30-day momentum, 30-day change volatility, 3-sigma anomaly flags, naive-drift forecasts, extreme-fear (<=25) and extreme-greed (>=75) regime flags, a 90-day sentiment z-score, and the provider's own classification. The crypto-sentiment companion to fng-signals (CNN stock-market Fear & Greed) — crypto runs its own sentiment cycle, often leading equities. Keyless JSON API; commercial redistribution not explicitly granted (marked unclear). Global market, rows labeled WLD. Raw series: alternative.me (tobieskrambs GmbH).
Qualité
Attribution
Crypto Fear and Greed Index by alternative.me (tobieskrambs GmbH); signals by Frontier Data Hub
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Observation date derived from the API's timestamp field (Unix seconds, UTC; YYYY-MM-DD, daily). |
| country | string | |
| country_code | string | |
| series_id | string | CFG: the Crypto Fear and Greed Index from alternative.me. |
| series_label | string | Crypto Fear and Greed Index (alternative.me): aggregates volatility, market momentum and volume, social media, surveys, Bitcoin dominance, and Google Trends into one gauge; 0 = extreme fear, 100 = extreme greed. |
| value | float | Index value on the 0–100 scale from the API's value field: 0 = extreme fear, 100 = extreme greed. Extreme fear has historically signalled buying opportunities for contrarians; extreme greed warns the market may be overheating. |
| sentiment_score | float | |
| sentiment_label | string | The API's value_classification field: one of Extreme Fear, Fear, Neutral, Greed, Extreme Greed. |
| momentum_3m | float | |
| momentum_7d | float | |
| volatility_30d | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| extreme_fear_flag | integer | |
| extreme_greed_flag | integer | |
| sentiment_z_90d | float |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | sentiment_score | sentiment_label | momentum_3m | momentum_7d | volatility_30d | anomaly_flag | forecast_1m | extreme_fear_flag | extreme_greed_flag | sentiment_z_90d |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-02-01 | World | WLD | CFG | Crypto Fear and Greed Index (alternative.me, 0-100) | 30 | 0.3 | Fear | — | — | — | 0 | — | 0 | 0 | — |
| 2018-02-02 | World | WLD | CFG | Crypto Fear and Greed Index (alternative.me, 0-100) | 15 | 0.15 | Extreme Fear | — | — | — | 0 | — | 1 | 0 | — |
| 2018-02-03 | World | WLD | CFG | Crypto Fear and Greed Index (alternative.me, 0-100) | 40 | 0.4 | Fear | — | — | — | 0 | — | 0 | 0 | — |
| 2018-02-04 | World | WLD | CFG | Crypto Fear and Greed Index (alternative.me, 0-100) | 24 | 0.24 | Extreme Fear | — | — | — | 0 | — | 1 | 0 | — |
| 2018-02-05 | World | WLD | CFG | Crypto Fear and Greed Index (alternative.me, 0-100) | 11 | 0.11 | Extreme Fear | — | — | — | 0 | — | 1 | 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/crypto_fear_greed_signals/crypto_fear_greed_index_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/crypto_fear_greed_signals/crypto_fear_greed_index_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_fear_greed_signals/crypto_fear_greed_index_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.