Global sovereign yield signals (10y bond yields, momentum, spreads, anomalies)
Signals derived from the OECD's harmonized 10-year government bond yields (monthly, as published on FRED) for 17 economies: 30-month annualized volatility of monthly yield changes, 3-month momentum, 12-month change, 3-sigma anomaly flags vs a trailing 12-month baseline, naive-drift 1-month forecasts, a per-month cross-country volatility rank, and the euro-area periphery spread — each euro member's 10y yield minus Germany's on the same month (the core-vs-periphery gauge). All rows carry canonical country_code so they join cleanly with country-keyed macro data. Raw series: Federal Reserve Bank of St. Louis (FRED), underlying data OECD Main Economic Indicators.
Qualité
Attribution
Federal Reserve Bank of St. Louis (FRED; OECD; derived signals by Frontier Data Hub)
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Observation date (FRED API field date; YYYY-MM-DD). |
| country | string | |
| country_code | string | |
| series_id | string | FRED series ID, e.g. IRLTLT01USM156N; resolves to the series page at https://fred.stlouisfed.org/series/<id>. |
| series_label | string | Official FRED series title as published for the series (OECD long-term government bond yield, 10-year, monthly). |
| value | float | 10-year government bond yield in percent per annum, as published by FRED/OECD for this series; see the series notes for methodology and revisions. |
| volatility_30d | float | |
| momentum_3m | float | |
| yoy_change | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer | |
| spread_vs_de_pp | float |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | volatility_30d | momentum_3m | yoy_change | anomaly_flag | forecast_1m | rank | spread_vs_de_pp |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1953-04-01 | United States | USA | IRLTLT01USM156N | Interest Rates: Long-Term Government Bond Yields: 10-Year: Main (Including Benchmark) for United States | 2.83 | — | — | — | 0 | — | — | — |
| 1953-05-01 | United States | USA | IRLTLT01USM156N | Interest Rates: Long-Term Government Bond Yields: 10-Year: Main (Including Benchmark) for United States | 3.05 | — | — | — | 0 | — | — | — |
| 1953-06-01 | United States | USA | IRLTLT01USM156N | Interest Rates: Long-Term Government Bond Yields: 10-Year: Main (Including Benchmark) for United States | 3.11 | — | — | — | 0 | — | — | — |
| 1953-07-01 | United States | USA | IRLTLT01USM156N | Interest Rates: Long-Term Government Bond Yields: 10-Year: Main (Including Benchmark) for United States | 2.93 | — | 0.10000000000000009 | — | 0 | — | — | — |
| 1953-08-01 | United States | USA | IRLTLT01USM156N | Interest Rates: Long-Term Government Bond Yields: 10-Year: Main (Including Benchmark) for United States | 2.95 | — | -0.09999999999999964 | — | 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/yield_signals/global_sovereign_yield_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/yield_signals/global_sovereign_yield_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/yield_signals/global_sovereign_yield_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.