US inflation expectations signals (Michigan 1y, anchoring gauges, anomalies)
Value-added inflation-expectations signals derived from FRED's free University of Michigan Surveys of Consumers 1-year-ahead inflation expectation (monthly, 1978 -> present): the expectations companion to realized-inflation signals. Each row carries change volatility, 3-month momentum, 12-month change (pp), a trailing-1y expectations z-score, an above-Fed-target flag, a de-anchoring flag (12m average > 3%), 3-sigma anomaly flags and naive-drift 1-month forecasts. All computation is local pandas/numpy; no paid models or APIs.
Qualité
Attribution
University of Michigan Surveys of Consumers via FRED; derived signals by Frontier Data Hub
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Observation date (FRED API field date; YYYY-MM-DD; monthly, first of month). |
| country | string | |
| country_code | string | |
| series_id | string | FRED series ID: MICH (University of Michigan 1-year-ahead inflation expectation); resolves to the series page at https://fred.stlouisfed.org/series/MICH. |
| series_label | string | Official FRED series title as published for the series. |
| value | float | 1-year-ahead expected inflation as reported by the University of Michigan Surveys of Consumers (percent); see the series notes for methodology and revisions. |
| volatility_30d | float | |
| momentum_3m | float | |
| yoy_change_pct | float | |
| expect_z_1y | float | |
| above_target_flag | integer | |
| deanchored_flag | integer | |
| anomaly_flag | integer | |
| forecast_1m | float |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | volatility_30d | momentum_3m | yoy_change_pct | expect_z_1y | above_target_flag | deanchored_flag | anomaly_flag | forecast_1m |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1978-01-01 | United States | USA | MICH | University of Michigan: Inflation Expectation | 5.2 | — | — | — | — | 1 | 0 | 0 | — |
| 1978-02-01 | United States | USA | MICH | University of Michigan: Inflation Expectation | 6.4 | — | — | — | — | 1 | 0 | 0 | — |
| 1978-03-01 | United States | USA | MICH | University of Michigan: Inflation Expectation | 6.3 | — | — | — | — | 1 | 0 | 0 | — |
| 1978-04-01 | United States | USA | MICH | University of Michigan: Inflation Expectation | 6.7 | — | 1.5 | — | — | 1 | 0 | 0 | — |
| 1978-05-01 | United States | USA | MICH | University of Michigan: Inflation Expectation | 6.9 | — | 0.5 | — | — | 1 | 0 | 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/inflation_expect_signals/us_inflation_expectations_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/inflation_expect_signals/us_inflation_expectations_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/inflation_expect_signals/us_inflation_expectations_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.