Euro-area ECB balance-sheet & liquidity signals (QE/QT regimes)
Weekly euro-area ECB liquidity signals from the ECB's total assets (FRED ECBASSETSW, 1999 ->, millions of euros): 13-week momentum, year-on-year change, 30-week change volatility, 3-sigma anomaly flags, naive-drift forecasts, a quantitative-tightening regime flag, a 5-year balance-sheet z-score, and an aggressive-expansion flag. The ECB-side companion to fed-liquidity-signals (WALCL) — balance-sheet expansion (QE) and contraction (QT) drive euro-area financial conditions, sovereign spreads, and the euro. Series covers the changing euro-area composition (11 to 20 countries); rows carry the stable EA20 aggregate code. Raw series: European Central Bank via FRED.
Qualité
Attribution
European Central Bank via FRED (Copyright, European Central Bank, reprinted with permission); signals by Frontier Data Hub
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Observation date (FRED API field date; YYYY-MM-DD, weekly). |
| country | string | |
| country_code | string | |
| series_id | string | ECBASSETS: Central Bank Assets for Euro Area (FRED ECBASSETSW), the ECB's balance-sheet footprint. |
| series_label | string | Central Bank Assets for Euro Area (millions of euros): total assets of the Eurosystem, covering the changing euro-area composition (11 to 19 countries over the series history). |
| value | float | ECB total assets in millions of euros (weekly). Rises with asset-purchase (QE) programs; falls with quantitative tightening and maturing operations. |
| momentum_3m | float | |
| yoy_change | float | |
| volatility_30d | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| qt_flag | integer | |
| balance_sheet_z_5y | float | |
| expanding_fast_flag | integer |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | momentum_3m | yoy_change | volatility_30d | anomaly_flag | forecast_1m | qt_flag | balance_sheet_z_5y | expanding_fast_flag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1999-01-01 | Euro area (20 countries) | EA20 | ECBASSETS | Central Bank Assets for Euro Area (millions of euros) | 697160 | — | — | — | 0 | — | 0 | — | 0 |
| 1999-01-08 | Euro area (20 countries) | EA20 | ECBASSETS | Central Bank Assets for Euro Area (millions of euros) | 685128 | — | — | — | 0 | — | 0 | — | 0 |
| 1999-01-15 | Euro area (20 countries) | EA20 | ECBASSETS | Central Bank Assets for Euro Area (millions of euros) | 686992 | — | — | — | 0 | — | 0 | — | 0 |
| 1999-01-22 | Euro area (20 countries) | EA20 | ECBASSETS | Central Bank Assets for Euro Area (millions of euros) | 667622 | — | — | — | 0 | — | 0 | — | 0 |
| 1999-01-29 | Euro area (20 countries) | EA20 | ECBASSETS | Central Bank Assets for Euro Area (millions of euros) | 694638 | — | — | — | 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/ecb_liquidity_signals/euro_area_ecb_liquidity_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/ecb_liquidity_signals/euro_area_ecb_liquidity_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/ecb_liquidity_signals/euro_area_ecb_liquidity_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.