Sold by: Alt/Finance - Alternative Asset Data
Deployed on AWS
This index tracks pre-1980s Rolex models including early Submariner 6204/6536/6538, GMT-Master 6542/1675, Daytona 6239/Paul Newman, Explorer 1016, Milgauss 6541, and Sea-Dweller 1665. It measures vintage appreciation, historical significance value, and collector nostalgia for crown's golden era. Use this as a key indicator for vintage sports watch investment, historical model performance, and Rolex heritage appreciation.
Overview
Use Cases
Investment & Portfolio Management
- Alternative Asset Allocation: Track watches as investment-grade collectibles
- Performance Attribution: Analyze returns by brand, model, and vintage
- Risk Assessment: Volatility analysis and correlation studies with traditional assets
- Liquidity Modeling: Time-to-sale analysis and transaction cost assessment
Retail & Commercial Intelligence
- Dynamic Pricing: Real-time market pricing for inventory optimization
- Demand Forecasting: Predictive analytics for popular models and complications
- Market Penetration: Geographic expansion opportunities and market saturation analysis
- Brand Performance: Market share evolution and brand health indicators
Authentication & Insurance Services
- Valuation Standards: Market-based pricing for insurance and estate purposes
- Fraud Detection: Identify counterfeit pieces through market pattern analysis
- Replacement Value: Accurate current market values for insurance claims
- Market Timing: Optimal buying and selling periods for collectors
Academic & Economic Research
- Luxury Market Analysis: Economic indicators and wealth correlation studies
- Cultural Impact Studies: Regional preferences and cultural influence on collecting
- Technological Innovation: Impact of new complications and materials on market values
- Sustainability Research: Pre-owned market growth and circular economy patterns
Metadata
| Description | Value |
|---|---|
| Data Format(s) | JSON, CSV, SQL Tables |
| Geographic coverage | Global |
| Historical coverage | 2000 - date |
| Update frequency | Daily |
| Update Type (Incremental updates vs. Full refresh) | Incremental updates |
| Data Source(s) | Auctions, Online Listings, Catalogues, Vendor Surveys |
Need Help?
- If you have questions about our products, contact us at info@altfndata.com
Details
Delivery method
Deployed on AWS
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Pricing
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Dimensions summary
This listing has one pricing dimension: Product Access (Units). It is offered free, so you pay nothing to subscribe. There are no tiers, instance sizes, or usage add-ons to compare. The single dimension grants access to the product for subscribers. Because it is a flat free model, pricing does not scale with usage, seats, or data volume. You gain access under the terms of that one unit.
Top-of-mind questions for buyers
Access grants entry to the product as a subscriber at no charge. The underlying data draws on auction results and secondary-market records across luxury watch brands, including Rolex, with prices normalized to a single currency and refreshed daily as new sales close.
No. This listing has one flat, free dimension. Your cost does not scale with query volume, records pulled, seats, or data footprint. There are no usage thresholds or overage points that trigger a charge under this Product Access unit.
The dataset is refreshed daily as new results flow in from auction houses worldwide. Figures reflect realized sale prices, not asking prices, converted to a common currency at the transaction date. Coverage spans many years of historical records across luxury watch brands.
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Refunds are not offered for this product.
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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 |
|---|---|---|---|---|---|---|
Historical + Real-time Luxury Watch Auction Sales by Lot (Christie’s, Sotheby’s, Bonhams, Phillips) | Last 1 revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
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