US business conditions daily: Philly Fed ADS index

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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.

Source: US Business Conditions (Philadelphia Fed ADS index, keyless)
Rows: 24,316
Columns: 17
Source cadence: Weekly
Last refreshed: Sep 30, 2026
Theme: economy

Column	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)

First 10 sample rows — a preview, not the complete dataset.

date	country	country_code	ads_index	ads_7d_ma	ads_30d_ma	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	—	—	—	—	—	—	—	false	false	—	—	3e4378aeea2fd599
1960-03-02	United States	USA	-0.63	—	—	—	—	—	—	—	false	false	—	—	08c05645b6c489cb
1960-03-03	United States	USA	-0.676	—	—	—	—	—	—	—	false	false	—	—	b39ef73d631f47e6
1960-03-04	United States	USA	-0.719	—	—	—	—	—	—	—	false	false	—	—	4fa6abe54f926562
1960-03-05	United States	USA	-0.759	—	—	—	—	—	—	—	false	false	—	—	1501552c8b58c810
1960-03-06	United States	USA	-0.796	—	—	—	—	—	—	—	false	false	—	—	c044cebf9a0dd507
1960-03-07	United States	USA	-0.83	-0.713	—	contraction	contraction	23.797	—	-1	false	false	—	—	e009e0f15d57d5f7
1960-03-08	United States	USA	-0.86	-0.753	—	contraction	contraction	22.577	—	-2	false	false	—	—	3bacb9129bd90f8b
1960-03-09	United States	USA	-0.888	-0.79	—	contraction	contraction	21.484	—	-3	false	false	—	—	ecdfbac09bfdd8c4
1960-03-10	United States	USA	-0.913	-0.824	—	contraction	contraction	20.511	—	-4	false	false	—	—	13537a084f8640e9

Profiled Oct 1, 2026 from snapshot 20260930T234049Z-b35543a7216a

Measured

Completeness: 99.7%
Rows: 24,316
Columns: 17
Columns with gaps: 9

Rows per yeardate · 1960–2026 · 67 years

19602026

Column	Missing	Distinct	Range	Distribution
datevarchar	0%	26,251	—	1960-03-011 1960-03-021 1960-03-031
countryvarchar	0%	1	—	United States24,316
country_codevarchar	0%	1	—	USA24,316
ads_indexdouble	0%	28,226	-26.65 → 9.64median 0.0262	488 outside 1st–99th percentile
ads_7d_madouble	0.02%	25,579	-26.58 → 9.62median 0.026	488 outside 1st–99th percentile
ads_30d_madouble	0.12%	24,882	-24.77 → 9.27median 0.029	486 outside 1st–99th percentile
nber_recessionbigint	0%	2	0 → 1median 0
regimevarchar	0.02%	2	—	expansion12,617 contraction11,693
regime_tiervarchar	0.02%	4	—	expansion10,550 contraction9,587 strong_contraction2,106
business_conditions_scoredouble	0.02%	28,401	0 → 100median 51.04	488 outside 1st–99th percentile
zscore_1ydouble	1.5%	30,096	-8.16 → 3.34median -0.0382	480 outside 1st–99th percentile
streak_daysbigint	0.02%	1,614	-798 → 853median 4	487 outside 1st–99th percentile
crossing_upboolean	0%	2	—	false24,194 true122
crossing_downboolean	0%	2	—	false24,194 true122
new_high_1yboolean	1.5%	2	—	false22,748 true1,198
new_low_1yboolean	1.5%	2	—	false22,380 true1,566
row_hashvarchar	0%	23,977	—	000148f2ac078fed1 00041ca84dceae771 00063976082740fe1

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/philly_ads_business_conditions_intel/us_business_conditions_daily" | jq '{title, rows, columns_count, license}'

Python

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)

API endpoint: https://datazimuts.com/v1/datasets/philly_ads_business_conditions_intel/us_business_conditions_daily

Tip: fetch /llms.txt for the full machine-readable catalog.

Cite this snapshot

Pinned to snapshot 20260930T234049Z-b35543a7216a and its content hash, so readers get exactly the data you used.

APA

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/en/datasets/philly_ads_business_conditions_intel/us_business_conditions_daily?snapshot=20260930T234049Z-b35543a7216a

BibTeX

@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/en/datasets/philly_ads_business_conditions_intel/us_business_conditions_daily?snapshot=20260930T234049Z-b35543a7216a}},
  note         = {Snapshot 20260930T234049Z-b35543a7216a, sha256 b35543a7216a4fef55f06305a68dad81a66e5f15749507fa58b2254c557648ad; accessed 2026-10-01}
}

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US business conditions daily: Philly Fed ADS index

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