asset classes

Luxury Watches Pricing History Data for Market Research and Investment Allocation

Access 130+ years of auction results, retail prices, and secondary market data across Rolex, Patek Philippe, Audemars Piguet, and 25+ luxury watch brands. Build quantitative models and optimize watch portfolios with institutional-grade pricing data.

Get Dashboard PassGet Enterprise Datasets
137 years of
historical data
95% coverage in secondary markets
Over 640 luxury and vintage brands
Over 1 million sales prices tracked

"We use Alt/Finance's watch pricing data to backtest allocation strategies for our alternative asset portfolios. The depth of historical Rolex and Patek Philippe data has been invaluable for understanding vintage sports watch returns and volatility."

— Senior Portfolio Manager, $3.5B Multi-Strategy Hedge Fund
SOLUTIONS

Powerful Visual Insights

Explore the global watches market with real-time insights into sales prices by leading brands.

Brands include:

A. Lange & Söhne, Audemars Piguet, Blancpain, Breguet, Breitling, Bremont, Bulgari, Cartier, Chopard, F.P. Journe, Hublot, IWC, Jaeger-LeCoultre, Omega, Panerai, Patek Philippe, Piaget, Richard Mille, Rolex, Seiko, TAG Heuer, Tudor, Ulysse Nardin, Vacheron Constantin, Zenith

Market Coverage:

- Coverage: Global
- Date range: 2000 - date
- Dataset latency: Daily
- Update frequency: Daily
SOLUTIONS

Enterprise Data Access for Financial Firms

Connect directly to our datasets via API, BigQuery, or bulk download. Used by hedge funds, wealth managers, and academic institutions.

- Full transaction-level data
- Custom date ranges & filters  
- Dedicated onboarding support
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Integration iconIntegration iconIntegration iconIntegration iconIntegration iconIntegration icon
Trending

Market News

Latest announcements on records and upcoming sales.

Ready to start backtesting?

Get a free data sample with historical pricing and sales transactions.
See why leading investment firms trust our data.
Or schedule a call with our data specialists.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.