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US mortgage-rate signals (affordability shock & spread gauges)

Weekly US mortgage-rate signals from the Freddie Mac Primary Mortgage Market Survey (redistributed by FRED, 1971 ->): 30-year and 15-year fixed rates with 13-week momentum, 30-week change volatility, 3-sigma anomaly flags vs a trailing 52-week baseline, 4-week drift forecasts, cross-series ranks, the mortgage-minus-10y-Treasury spread, a 52-week rate-shock gauge, high/low rate flags, and a 10-year affordability z-score. 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: Freddie Mac, U.S. Department of the Treasury.

Source: Mortgage-Rate Signals (derived)4,725 lignesMis à jour: 22/09/2026
mortgageshousing-financeinterest-ratesaffordabilityfreddie-macspreadmacroeconomicsvolatilitymomentumanomaly-detectionforecastingsignalsfred

Qualité

99.7

Attribution

Federal Reserve Bank of St. Louis (FRED; underlying data: Freddie Mac and U.S. Department of the Treasury; derived signals by Frontier Data Hub)

Schéma

ColonneTypeDescription
datestringObservation date (FRED API field date; YYYY-MM-DD, weekly).
countrystring
country_codestring
series_idstringFRED series ID: MORTGAGE30US (30-Year Fixed Rate Mortgage Average in the United States, Freddie Mac) or MORTGAGE15US (15-Year Fixed Rate Mortgage Average in the United States, Freddie Mac).
series_labelstringOfficial FRED series title as published for the series.
valuefloatContract interest rate on commitments for fixed-rate first mortgages, percent (Freddie Mac Primary Mortgage Market Survey, via FRED).
momentum_3mfloat
volatility_30dfloat
anomaly_flaginteger
forecast_1mfloat
rankinteger
mortgage_10y_spreadfloat
rate_shock_52w_ppfloat
high_rate_flaginteger
low_rate_flaginteger
affordability_z_10yfloat

Exemple de lignes

datecountrycountry_codeseries_idseries_labelvaluemomentum_3mvolatility_30danomaly_flagforecast_1mrankmortgage_10y_spreadrate_shock_52w_pphigh_rate_flaglow_rate_flagaffordability_z_10y
1991-08-30United StatesUSAMORTGAGE15US15-Year Fixed Rate Mortgage Average in the United States8.77011.33-1.089999999999999910-1.1587163225430812
1991-09-06United StatesUSAMORTGAGE15US15-Year Fixed Rate Mortgage Average in the United States8.79011.3800000000000008-1.04999999999999910-1.1622562468628026
1991-09-13United StatesUSAMORTGAGE15US15-Year Fixed Rate Mortgage Average in the United States8.68011.3599999999999994-1.110000000000001210-1.2130582019448624
1991-09-20United StatesUSAMORTGAGE15US15-Year Fixed Rate Mortgage Average in the United States8.62011.379999999999999-1.210000000000000910-1.2427097140199916
1991-09-27United StatesUSAMORTGAGE15US15-Year Fixed Rate Mortgage Average in the United States8.59011.4299999999999997-1.300000000000000710-1.2561776364269785

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/fred_mortgage_signals/us_mortgage_rate_signals" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/fred_mortgage_signals/us_mortgage_rate_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/fred_mortgage_signals/us_mortgage_rate_signals

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.

US mortgage-rate signals (affordability shock & spread gauges)