US GDP and output-gap signals (growth, slack, investment/consumption shares)
Quarterly US national-accounts signals derived from FRED: real GDP growth (QoQ annualized and YoY), the CBO output gap (actual vs potential GDP) with its 10-year z-score, investment and consumption shares of GDP, the GDP-deflator inflation gauge, plus 30-quarter annualized change volatility, 1-quarter momentum, 3-sigma anomaly flags vs a trailing 12-quarter baseline, naive-drift 1-quarter forecasts and a per-quarter cross-series volatility rank. All rows are normalized to country_code USA so they join cleanly with US macro data. Raw series: Federal Reserve Bank of St. Louis (FRED); underlying data: U.S. Bureau of Economic Analysis and the Congressional Budget Office.
Qualité
Attribution
Federal Reserve Bank of St. Louis (FRED; underlying data: U.S. Bureau of Economic Analysis and Congressional Budget Office; derived signals by Frontier Data Hub)
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Observation date (FRED API field date; YYYY-MM-DD, first day of the reference quarter). |
| country | string | |
| country_code | string | |
| series_id | string | FRED series ID, e.g. GDPC1, GDPPOT, GDPCTPI, GPDI, PCEC; resolves to the series page at https://fred.stlouisfed.org/series/<id>. |
| series_label | string | Official FRED series title as published for the series (U.S. Bureau of Economic Analysis national accounts; GDPPOT: Congressional Budget Office). |
| value | float | Observation value as published by FRED for this series: billions of chained 2017 dollars at a seasonally adjusted annual rate (GDPC1, GPDI, PCEC); billions of chained 2017 dollars (GDPPOT); index, 2017=100 (GDPCTPI); see the series notes for methodology and revisions. |
| growth_qoq_ann | float | |
| yoy_change_pct | float | |
| volatility_30d | float | |
| momentum_3m | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer | |
| output_gap | float | |
| gap_z_10y | float | |
| investment_share | float | |
| consumption_share | float | |
| deflator_yoy | float |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | growth_qoq_ann | yoy_change_pct | volatility_30d | momentum_3m | anomaly_flag | forecast_1m | rank | output_gap | gap_z_10y | investment_share | consumption_share | deflator_yoy |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1947-01-01 | United States | USA | GDPC1 | Real Gross Domestic Product | 2182.681 | — | — | — | — | 0 | — | — | — | — | 1.6426587302496334 | 7.154549840311067 | — |
| 1947-01-01 | United States | USA | GDPCTPI | Gross Domestic Product: Chain-type Price Index | 11.148 | — | — | — | — | 0 | — | — | — | — | 1.6426587302496334 | 7.154549840311067 | — |
| 1947-01-01 | United States | USA | GPDI | Gross Private Domestic Investment | 35.854 | — | — | — | — | 0 | — | — | — | — | 1.6426587302496334 | 7.154549840311067 | — |
| 1947-01-01 | United States | USA | PCEC | Personal Consumption Expenditures | 156.161 | — | — | — | — | 0 | — | — | — | — | 1.6426587302496334 | 7.154549840311067 | — |
| 1947-04-01 | United States | USA | GDPC1 | Real Gross Domestic Product | 2176.892 | -1.0566839487050617 | — | — | -5.789000000000215 | 0 | — | — | — | — | 1.5850579633716328 | 7.351352294923222 | — |
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/gdp_signals/us_gdp_output_gap_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/gdp_signals/us_gdp_output_gap_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/gdp_signals/us_gdp_output_gap_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.