US business conditions daily: Philly Fed ADS index
Daily US business-conditions panel, 1960-03-01 onward: the Federal Reserve Bank of Philadelphia's Aruoba-Diebold-Scotti (ADS) index (standardized, mean 0 / sd 1; positive = better-than-average conditions), the Philly Fed's own 7-day and 30-day trailing smoothed levels, the NBER recession flag as published (RECBARS), plus deterministic derived features: regime and regime_tier (expansion/contraction, strong/weak on the unit-sd scale), business_conditions_score = 100*Phi(7-day mean), trailing-1-year z-score, signed streak_days, zero-crossing event flags, and trailing-1-year new high/low flags. One row per day x USA; raw gates (exact 3-column layout, gapless calendar days, finite levels, RECBARS in {0,1}) fail loudly, never imputed. Upstream: Federal Reserve Bank of Philadelphia, most-current ADS vintage, keyless. Who joins this: online shops join revenue on date, subscription businesses use the score and tiers as demand-regime features for churn models, sales teams read streaks and crossings as the macro backdrop.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 24 316
- Colonnes
- 17
- Cadence de la source
- Hebdomadaire
- Dernière actualisation
- 30 sept. 2026
- Thème
- economy
| Colonne | Type | Description |
|---|---|---|
| date | string | Calendar date (ISO YYYY-MM-DD); daily join key. (unit: date) |
| country | string | Country name (shared normalization layer). (unit: string) |
| country_code | string | ISO 3166-1 alpha-3 country code (USA). (unit: string) |
| ads_index | float | Aruoba-Diebold-Scotti business conditions index, raw daily level. Standardized by construction: mean 0, standard deviation 1; positive = better-than-average conditions. (unit: index points) |
| ads_7d_ma | float | Trailing 7-calendar-day mean of ads_index (the smoothing the Philadelphia Fed itself reports). Null for the first 6 days (warmup). (unit: index points) |
| ads_30d_ma | float | Trailing 30-calendar-day mean of ads_index. Null for the first 29 days (warmup). (unit: index points) |
| nber_recession | integer | NBER-dated recession flag as published by the Philadelphia Fed (RECBARS verbatim): 1 = recession day, 0 = otherwise. (unit: 0/1) |
| regime | string | 'expansion' when ads_7d_ma > 0, else 'contraction'. Null during the 7-day warmup. (unit: string) |
| regime_tier | string | Magnitude tier of ads_7d_ma on the index's unit-sd scale: strong_expansion (>= 1.0), expansion ([0, 1)), contraction ((-1, 0)), strong_contraction (<= -1.0). (unit: string) |
| business_conditions_score | float | 0-100 = 100 * Phi(ads_7d_ma), Phi = standard normal CDF. 50 = average business conditions, ~84 = one sd above. Null during the 7-day warmup. (unit: score 0-100) |
| zscore_1y | float | Standardized ads_7d_ma relative to its own trailing 365 calendar days (causal window incl. today). Null for the first 370 days (warmup). (unit: z-score) |
| streak_days | integer | Signed consecutive-day run of sign(ads_7d_ma): +k = k expansion days in a row, -k = k contraction days in a row. Defined from the first non-null ads_7d_ma. (unit: days (signed)) |
| crossing_up | boolean | True when ads_7d_ma crossed zero upward today versus yesterday (contraction -> expansion event). (unit: boolean) |
| crossing_down | boolean | True when ads_7d_ma crossed zero downward today versus yesterday (expansion -> contraction event). (unit: boolean) |
| new_high_1y | boolean | True when ads_7d_ma is at or above its trailing-365-day maximum. Null for the first 370 days (warmup). (unit: boolean) |
| new_low_1y | boolean | True when ads_7d_ma is at or below its trailing-365-day minimum. Null for the first 370 days (warmup). (unit: boolean) |
| row_hash | string | Deterministic 16-hex sha256 of date + rounded ads_index + nber_recession (idempotency key). (unit: string) |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| date | country | country_code | ads_index | ads_7d_ma | ads_30d_ma | nber_recession | regime | regime_tier | business_conditions_score | zscore_1y | streak_days | crossing_up | crossing_down | new_high_1y | new_low_1y | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1960-03-01 | United States | USA | -0,58 | — | — | 0 | — | — | — | — | — | false | false | — | — | 3e4378aeea2fd599 |
| 1960-03-02 | United States | USA | -0,63 | — | — | 0 | — | — | — | — | — | false | false | — | — | 08c05645b6c489cb |
| 1960-03-03 | United States | USA | -0,676 | — | — | 0 | — | — | — | — | — | false | false | — | — | b39ef73d631f47e6 |
| 1960-03-04 | United States | USA | -0,719 | — | — | 0 | — | — | — | — | — | false | false | — | — | 4fa6abe54f926562 |
| 1960-03-05 | United States | USA | -0,759 | — | — | 0 | — | — | — | — | — | false | false | — | — | 1501552c8b58c810 |
| 1960-03-06 | United States | USA | -0,796 | — | — | 0 | — | — | — | — | — | false | false | — | — | c044cebf9a0dd507 |
| 1960-03-07 | United States | USA | -0,83 | -0,713 | — | 0 | contraction | contraction | 23,797 | — | -1 | false | false | — | — | e009e0f15d57d5f7 |
| 1960-03-08 | United States | USA | -0,86 | -0,753 | — | 0 | contraction | contraction | 22,577 | — | -2 | false | false | — | — | 3bacb9129bd90f8b |
| 1960-03-09 | United States | USA | -0,888 | -0,79 | — | 0 | contraction | contraction | 21,484 | — | -3 | false | false | — | — | ecdfbac09bfdd8c4 |
| 1960-03-10 | United States | USA | -0,913 | -0,824 | — | 0 | contraction | contraction | 20,511 | — | -4 | false | false | — | — | 13537a084f8640e9 |
Profilé le 1 oct. 2026 à partir de l’instantané 20260930T234049Z-b35543a7216a
Mesuré- Complétude
- 99,7 %
- Lignes
- 24 316
- Colonnes
- 17
- Colonnes incomplètes
- 9
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| datevarchar | 0 % | 26 251 | — |
|
| countryvarchar | 0 % | 1 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| ads_indexdouble | 0 % | 28 226 | -26,65 → 9,64médiane 0,0262 | 488 hors du 1er–99e centile |
| ads_7d_madouble | 0,02 % | 25 579 | -26,58 → 9,62médiane 0,026 | 488 hors du 1er–99e centile |
| ads_30d_madouble | 0,12 % | 24 882 | -24,77 → 9,27médiane 0,029 | 486 hors du 1er–99e centile |
| nber_recessionbigint | 0 % | 2 | 0 → 1médiane 0 | |
| regimevarchar | 0,02 % | 2 | — |
|
| regime_tiervarchar | 0,02 % | 4 | — |
|
| business_conditions_scoredouble | 0,02 % | 28 401 | 0 → 100médiane 51,04 | 488 hors du 1er–99e centile |
| zscore_1ydouble | 1,5 % | 30 096 | -8,16 → 3,34médiane -0,0382 | 480 hors du 1er–99e centile |
| streak_daysbigint | 0,02 % | 1 614 | -798 → 853médiane 4 | 487 hors du 1er–99e centile |
| crossing_upboolean | 0 % | 2 | — |
|
| crossing_downboolean | 0 % | 2 | — |
|
| new_high_1yboolean | 1,5 % | 2 | — |
|
| new_low_1yboolean | 1,5 % | 2 | — |
|
| row_hashvarchar | 0 % | 23 977 | — |
|
- Actuelle
20260930T234049Z-b35543a7216a · sha256 b35543a7216a…
24 316 lignes · premier instantané
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 "https://datazimuts.com/v1/datasets/philly_ads_business_conditions_intel/us_business_conditions_daily" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/philly_ads_business_conditions_intel/us_business_conditions_daily").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/philly_ads_business_conditions_intel/us_business_conditions_daily
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
D’où viennent ces données et ce qui en a été fait. Le travail des autres apparaît sous forme de décomptes ; seuls les projets partagés sont nommés.
Citer cet instantané
Épinglé à l’instantané 20260930T234049Z-b35543a7216a et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
US Business Conditions (Philadelphia Fed ADS index, keyless). (2026). US business conditions daily: Philly Fed ADS index [Data set, snapshot 20260930T234049Z-b35543a7216a, sha256 b35543a7216a]. Datazimuts. Retrieved 2026-10-01, from https://datazimuts.com/fr/datasets/philly_ads_business_conditions_intel/us_business_conditions_daily?snapshot=20260930T234049Z-b35543a7216a
@misc{dz_philly_ads_business_conditions_intel_us__b35543a7,
title = {{US business conditions daily: Philly Fed ADS index}},
author = {{US Business Conditions (Philadelphia Fed ADS index, keyless)}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/philly_ads_business_conditions_intel/us_business_conditions_daily?snapshot=20260930T234049Z-b35543a7216a}},
note = {Snapshot 20260930T234049Z-b35543a7216a, sha256 b35543a7216a4fef55f06305a68dad81a66e5f15749507fa58b2254c557648ad; accessed 2026-10-01}
}Intégrer un tableau ou un graphique
Collez ce code dans n’importe quelle page. L’intégration est épinglée au même instantané, suit le thème clair ou sombre du lecteur et affiche toujours la source, la licence et un lien de retour.
<iframe src="https://datazimuts.com/embed/chart?dataset=philly_ads_business_conditions_intel%2Fus_business_conditions_daily&lang=fr&theme=auto&snapshot=20260930T234049Z-b35543a7216a&x=date&y=ads_index&agg=avg" title="US business conditions daily: Philly Fed ADS index" width="100%" height="380" style="border:0" loading="lazy"></iframe>
Posez une question sur ce jeu de données. Les réponses viennent uniquement de sa fiche, de son profil mesuré et de son historique, et citent les faits utilisés.