090°Données ouvertes
Jeux de données ouverts, entièrement documentés — interrogeables ici, et lisibles par n’importe quel LLM.
Les titres et les descriptions proviennent des sources de données, en anglais.
2 jeux de données
Housing Market Signals (derived)
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).
US Home-Price & Rate-Lock Pulse (derived)
Monthly US home-price & rate-lock pulse: S&P/Case-Shiller national home price index (FRED CSUSHPISA; MoM %/YoY %, trailing-12m z-score of the monthly change, 12-month acceleration in pp, trailing-10y percentile rank) and the 30-year fixed mortgage rate (Freddie Mac PMMS via FRED MORTGAGE30US, weekly observations averaged to calendar months; MoM/YoY point changes, trailing-12m z-score, trailing-10y percentile rank), plus a deterministic affordability_pressure_score = 0.5*price_hist_pct_rank + 0.5*rate_hist_pct_rank (0-100; high = expensive homes at expensive rates) and a rule-based market_regime (frozen / rate_shocked / thawing / overheating / cooling / balanced). Panel 1987-01 -> latest published month (Case-Shiller lags ~2 months). Upstream: FRED keyless fredgraph.csv (no API key). One row per year_month, country_code=USA. Who joins this: a subscription business joins monthly home-price momentum to customer cohorts on year_month to model housing-wealth effects on retention and upgrades; an online shop joins it to home-category demand forecasts on year_month.
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