Sold by: ALT/FNDATA - Alternative Asset Data
Deployed on AWS
Luxury Tote Bag Appreciation Index (LTAI): a daily market-performance index for this segment of the luxury handbag market, built on ALT/FNDATA's dataset of over 290,000 handbag lots across 240+ auction houses and resale marketplaces, 2006 to present. Use it for pricing, benchmarking and resale research.
Overview
Luxury Tote Bag Appreciation Index (LTAI): luxury handbag market data
The Luxury Tote Bag Appreciation Index (LTAI) delivers daily index values for this segment of the luxury handbag market on a consistent methodology, for pricing, benchmarking and demand research.
The index is built on ALT/FNDATA's luxury handbag sales data, drawn from auction houses, online resale marketplaces, dealer listings and catalogues worldwide (over 290,000 lots across 240+ houses, 2006 to present). Index values come in JSON, CSV and SQL table formats and update daily.
What you can do with this data
- Benchmarking: measure this handbag segment against the wider luxury market.
- Resale and retail pricing: set competitive listing prices and forecast demand.
- Investment research: track designer handbags as an alternative asset.
- Insurance and authentication: market-based valuations and counterfeit pattern detection.
Dataset facts
- Data formats: JSON, CSV, SQL tables
- Geographic coverage: Global (North America, Europe, Asia)
- History: 2006 to present
- Update frequency: Daily
- Update type: Incremental
- Sources: Auction houses, online marketplaces, dealer listings, catalogues
- Provider: ALT/FNDATA (Oarbt Inc.)
More ALT/FNDATA data on AWS Data Exchange
ALT/FNDATA publishes a family of luxury handbag indices alongside global and brand-level handbag sales feeds (Hermès and Birkin, Christian Dior) on AWS Data Exchange. Search "ALT/FNDATA" to see the full catalogue.
Getting started
For help evaluating the Luxury Tote Bag Appreciation Index (LTAI) for your use case, or to discuss coverage and integration, contact the ALT/FNDATA data team at info@altfndata.com .
Highlights
- Daily index for this luxury handbag segment, built on 290,000+ lots across 240+ houses and resale marketplaces.
- Grounded in realised auction and resale prices, 2006 to present. Delivered in JSON, CSV and SQL formats.
- Part of a family of ALT/FNDATA handbag indices and handbag sales feeds on AWS Data Exchange.
Details
Delivery method
Deployed on AWS
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Dimensions summary
This listing offers a single pricing dimension: Product Access (Units), provided at no cost. You subscribe to gain access to the product with no charge tied to usage volume or seats. There are no tiers, instance sizes, or usage add-ons to compare. The one dimension grants entry to the product, and the free pricing model means you incur no Marketplace fees for that access.
Top-of-mind questions for buyers
It grants subscription access to the Luxury Tote Bag Appreciation Index data product. The unit represents entry to the dataset itself, not a per-seat or per-record charge. You subscribe once to unlock access, with no volume-based metering applied to your use.
No. This dimension is billed at no cost and carries no usage-based metering. Pulling more records, running more queries, or adding people does not create Marketplace charges. There are no included-amount thresholds or overage points that could trigger a cost change.
You get luxury handbag market data drawn from auction and private-sale transaction records, tracking realized sale prices across many luxury brands. The data reflects cleared prices rather than asking prices, and coverage is refreshed as new auction results close.
www.altfndata.com
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Daily Feed | Global Luxury Handbag Sales | Bulgari, Louis Vuitton, Prada, Valentino, Hermes & more | Last 1 revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
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