US housing market signals (Case-Shiller YoY momentum, starts/permits, anomalies, forecasts)
Signals derived from FRED's US housing series: 30-period annualized volatility of changes, 3-month momentum, year-over-year percent change (the Case-Shiller boom/bust gauge), 3-sigma anomaly flags, naive-drift 1-month forecasts, a per-date cross-series volatility rank, and the permits-to-starts pipeline ratio. Covers HOUST (monthly housing starts), PERMIT (monthly building permits), CSUSHPISA (S&P/Case-Shiller U.S. National Home Price Index), MORTGAGE30US (weekly 30-yr fixed mortgage rate) and HSN1F (monthly new one-family houses sold). 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).
Qualité
Attribution
Federal Reserve Bank of St. Louis (FRED; 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. HOUST, PERMIT, CSUSHPISA, MORTGAGE30US, HSN1F; resolves to the series page at https://fred.stlouisfed.org/series/<id>. |
| series_label | string | Official FRED series title as published for the series. |
| value | float | Observation value as published by FRED for this series (housing starts and building permits in thousands of units; Case-Shiller index; 30-yr mortgage average in percent; new-home sales in thousands of units); see the series notes for methodology and revisions. |
| volatility_30d | float | |
| momentum_3m | float | |
| yoy_change_pct | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer | |
| permit_starts_ratio | float |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | volatility_30d | momentum_3m | yoy_change_pct | anomaly_flag | forecast_1m | rank | permit_starts_ratio |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1959-01-01 | United States | USA | HOUST | New Privately-Owned Housing Units Started: Total Units | 1657 | — | — | — | 0 | — | — | — |
| 1959-02-01 | United States | USA | HOUST | New Privately-Owned Housing Units Started: Total Units | 1667 | — | — | — | 0 | — | — | — |
| 1959-03-01 | United States | USA | HOUST | New Privately-Owned Housing Units Started: Total Units | 1620 | — | — | — | 0 | — | — | — |
| 1959-04-01 | United States | USA | HOUST | New Privately-Owned Housing Units Started: Total Units | 1590 | — | -67 | — | 0 | — | — | — |
| 1959-05-01 | United States | USA | HOUST | New Privately-Owned Housing Units Started: Total Units | 1498 | — | -169 | — | 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/housing_signals/us_housing_market_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/housing_signals/us_housing_market_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/housing_signals/us_housing_market_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.