US consumer pulse signals (sentiment z-scores, retail/vehicle momentum, anomalies, forecasts)
Signals derived from FRED's US consumer series: 30-period annualized volatility of monthly changes, 3-month momentum, year-over-year percent change, 3-sigma anomaly flags, naive-drift 1-month forecasts, a per-month cross-series volatility rank, and the University of Michigan sentiment z-score versus its trailing 12-month window. Covers UMCSENT (consumer sentiment index), TOTALSA (total vehicle sales, SAAR) and RSXFS (advance retail sales). 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. UMCSENT, TOTALSA, RSXFS; 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 (UMCSENT consumer sentiment index, base 1966:Q1=100; TOTALSA vehicle sales in millions of units; RSXFS advance retail sales in millions of dollars); 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 | |
| sentiment_z_12m | float |
Sample rows
| date | country | country_code | series_id | series_label | value | volatility_30d | momentum_3m | yoy_change_pct | anomaly_flag | forecast_1m | rank | sentiment_z_12m |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1952-11-01 | United States | USA | UMCSENT | University of Michigan: Consumer Sentiment | 86.2 | — | — | — | 0 | — | — | — |
| 1953-02-01 | United States | USA | UMCSENT | University of Michigan: Consumer Sentiment | 90.7 | — | — | — | 0 | — | — | — |
| 1953-08-01 | United States | USA | UMCSENT | University of Michigan: Consumer Sentiment | 80.8 | — | — | — | 0 | — | — | — |
| 1953-11-01 | United States | USA | UMCSENT | University of Michigan: Consumer Sentiment | 80.7 | — | -5.5 | — | 0 | — | — | — |
| 1954-02-01 | United States | USA | UMCSENT | University of Michigan: Consumer Sentiment | 82 | — | -8.700000000000003 | — | 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/consumer_signals/us_consumer_pulse_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/consumer_signals/us_consumer_pulse_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/consumer_signals/us_consumer_pulse_signals
Tip: fetch /llms.txt for the full machine-readable catalog.