For Investors & Quant Researchers · Apparel Retail
Apparel Retail Data for Investors & Quant Researchers
Apparel Retail data for investors: 5 datasets on one shelf. Every one delivered as API, files, or warehouse rows.
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API, files, or your warehouse. Daily, weekly, or hourly.
Which apparel-retail datasets qualify for investor and quant work?
Five datasets qualify for this pairing, and the profile is narrow by design: three carry the maximum relevance score of 3 - the UK ONS Retail Sales Index, the US Census Monthly Retail Trade Survey (MRTS) and the US Census Retail Historical Data Portal - while two more qualify at relevance 1 as supporting material.
The broader best apparel-retail datasets ranking covers records aimed at other personas.
The 5 best apparel-retail datasets for investors and quants
Ranked by relevance to investing and quant workflows first, then Datadory's quality score:
For the sharpest methodological contrast inside the set - aggregate official indices versus session-level clickstream - see the clickstream versus official index comparison.
What signals can you actually trade?
The release calendar is the tradable surface. MRTS runs a two-step rhythm: the July 2026 advance landed on Friday 14 August 2026, putting total retail and food services sales at 763.6 billion dollars, with revised estimates following later in the month. ONS publishes its first estimate at 7:00am on a pre-announced date - 21 August 2026 for July data, the next release 18 September 2026 - so release-day automation is practical on both sides of the Atlantic.
Level detail drives stock selection. Within NAICS 448, clothing and clothing accessories stores ran 20,522 million dollars in January 2026 (not adjusted) and a preliminary 26,291 million in June 2026 - 27,786 million seasonally adjusted - while family clothing stores posted 13,806 million in May 2026. The UK index adds relative performance: the textile, clothing and footwear volume index read 99.2 in July 2026 against 104.6 for all retailing ex-fuel, and internet sales of 327.5 million pounds a week were roughly 27-28% of those stores' total sales - channel-mix evidence a headline print cannot give you.
What sample-period and revision caveats should you price in?
These are official series, not vendor products, but they still rewrite history. Census has a major historical revision tied to the 2023-2024 Annual Integrated Economic Survey tentatively scheduled for 28 September 2026, which can restate the 1992-onward workbook; ONS ships revision triangles with each release precisely because first estimates move, and its monthly periods are four-week accounting months except February and quarter ends - a trap for week-aligned joins.
Classification breaks are real too: the SIC-era state and area files stop at 1996 under codes such as 56 (men's and boys' clothing stores) and 57 (clothing accessories), while the NAICS workbook starts in January 1992, so any 1953-to-present splice crosses at least one definition change. The clickstream raises different problems: its window is fixed at October 2019 to April 2020, deliberately spanning the COVID demand shock, so behaviour estimated from it is regime-specific by construction - and being static, it never grows out of that regime.
Straight answers
What are the best alternative data sources for investing in apparel retail?
Three carry maximum relevance for this pairing: the US Census Monthly Retail Trade Survey for NAICS 448 dollar sales split into men's, women's, family and other clothing stores plus shoe stores, the UK ONS Retail Sales Index for clothing volume and internet-sales indices, and the Census archive reaching to October 1953.
Is satellite imagery data available for hedge funds covering apparel retail?
No satellite or aerial imagery product qualifies for this pairing. The closest substitutes sit on the transaction side: the REES46 apparel clickstream logs view, cart and purchase events for roughly 285 million users, and ONS internet-sales splits show online clothing demand directly. Parking-lot imagery vendors sit outside this industry's dataset list.
Where can I find a point-in-time fundamentals database for backtesting apparel stocks?
Nothing in this pairing is a true point-in-time fundamentals database, and the official series revise: a major Census benchmark revision tied to the 2023-2024 Annual Integrated Economic Survey was tentatively set for 28 September 2026, and ONS publishes revision triangles because first estimates move. Capture vintage copies at download time.
How do quants use apparel-retail data?
Three patterns dominate. Release-event strategies trade consumer names around mid-month MARTS advances and ONS's 7:00am first estimates. Slow factors build from long panels - MRTS monthly series from January 1992, ONS from January 1988, the Census archive from October 1953. Clickstream then tests whether an aggregate move came from traffic or conversion.
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