Global business & consumer confidence signals (sentiment momentum, pessimism streaks, business-consumer gap)

Name: Global business & consumer confidence signals (sentiment momentum, pessimism streaks, business-consumer gap)
Creator: Business & Consumer Confidence Signals (derived)
License: https://www.oecd.org/en/about/terms-and-conditions.html
Keywords: sentiment, consumer-confidence, business-confidence, surveys, leading-indicator, recession, volatility, momentum, anomaly-detection, forecasting, signals, oecd

Monthly economic-sentiment signals derived from the OECD's standardised business and consumer confidence indicators (amplitude adjusted, long-term average = 100; 56 countries and aggregates): 30-month annualized change volatility, 3-month momentum, 3-sigma anomaly flags vs a trailing 12-month baseline, naive-drift 1-month forecasts, a per-month cross-series volatility rank, the business-minus-consumer confidence gap (the demand-mismatch gauge), consecutive-months-below-100 pessimism streaks and 24-month sentiment z-scores. All rows carry canonical country_code so they join cleanly with other macro datasets. Derived keyless from the local raw oecd_cli catalog snapshots; underlying data: OECD (commercial re-use requires prior permission).

Source: Business & Consumer Confidence Signals (derived)52,267 lignesMis à jour: 22/09/2026

sentimentconsumer-confidencebusiness-confidencesurveysleading-indicatorrecessionvolatilitymomentumanomaly-detectionforecastingsignalsoecd

Qualité

96.3

Attribution

OECD (derived signals by Frontier Data Hub; commercial re-use of OECD data requires prior permission)

Schéma

Colonne	Type	Description
date	string	Observation month (OECD CLI TIME_PERIOD, YYYY-MM), stored as the first day of the month.
country	string
country_code	string
series_id	string	OECD series key <REF_AREA>.<measure>, e.g. USA.BCI (business confidence) or DEU.CCI (consumer confidence).
series_label	string	OECD area name plus the indicator type: standardised business or consumer confidence indicator (OECD CLI measures BCICP/CCICP), amplitude adjusted, long-term average = 100, seasonally adjusted.
value	float	Indicator value as published by the OECD: amplitude adjusted, long-term average = 100; values above 100 signal above-trend confidence, below 100 below-trend.
volatility_30d	float
momentum_3m	float
anomaly_flag	integer
forecast_1m	float
rank	integer
conf_gap	float
below_avg_streak	integer
sentiment_z_24m	float

Exemple de lignes

date	country	country_code	series_id	series_label	value	volatility_30d	momentum_3m	forecast_1m	rank	conf_gap	sentiment_z_24m
1950-01-01	United States	USA	USA.BCI	United States — business confidence	101.1429	—	—	—	—	—	—
1950-02-01	United States	USA	USA.BCI	United States — business confidence	101.6886	—	—	—	—	—	—
1950-03-01	United States	USA	USA.BCI	United States — business confidence	102.4159	—	—	—	—	—	—
1950-04-01	United States	USA	USA.BCI	United States — business confidence	103.4524	—	2.3095	—	—	—	—
1950-05-01	United States	USA	USA.BCI	United States — business confidence	104.4971	—	2.8085000000000093	—	—	—	—

Télécharger un échantillon

Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).

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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/confidence_signals/global_confidence_signals" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/confidence_signals/global_confidence_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/confidence_signals/global_confidence_signals

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