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).
Quality
Attribution
Federal Reserve Bank of St. Louis (FRED; derived signals by Frontier Data Hub)
Schema
| Column | 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 |
Sample rows
| 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 | — | — | — |
Download sample data
Download the full sample snapshot for this dataset (sample rows, not the complete dataset).
Use with an LLM
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (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)API endpoint: https://datazimuts.com/v1/datasets/housing_signals/us_housing_market_signals
Tip: fetch /llms.txt for the full machine-readable catalog.