News
Market Data
Brent, Gasoil and Naphtha: How market responses to the Iran conflict evolved
By Francesca Marrone
11 Jun 2026
What do swap spreads tell us about market stress?
By Jake Harmon
5 Jun 2026
FX & Money Markets
The varying impact of the Iran war on Asian currencies
By John Crisp
19 May 2026
Product notification
Product updates: May 2026
By TraditionData
15 May 2026
DKF Stockholm 2024 provides a platform for experts from the financial, academic, and regulatory sectors to discuss Market Data Products & Solutions.
Ian Sams will join the panel discussion “Master Data Management: How to Effectively Manage Market Data Streams in Your Firm with the Aid of AI” from 16:30 to 17:05. He will share how Tradition has integrated Data Science and Machine Learning into its operations, including creating a dedicated Data Science team at our head office in Lausanne. This team applies modelling techniques to generate Swaption Volatility surfaces for markets with limited liquidity. We have so far launched two IRO surfaces powered by data science: CHF SARON IRO Surface and CAD CORRA Swaptions Surface. In addition to this, Tradition uses Data Science for cross-market insights, trading strategies, recommendation systems, and transforming unstructured data into structured formats.
To learn more about Tradition’s innovative approaches, join us at the panel discussion, or reach out for further information.
Access to accurate market data is essential for finance professionals to navigate market fluctuations and shifts in global geopolitics, whilst maintaining a competitive edge. At TraditionData, we provide consistent, high-quality financial market data that reflects real price interest in global OTC swaps markets, covering FX & Money Markets, Interest Rate Derivatives, Credit & Fixed Income, and Energy & Commodities.
With data direct from Tradition – one of the world’s largest Inter-Dealer Brokers with offices in 30 countries – our extensive product suite and global coverage allows us to tailor our data packages to meet your individual business needs.
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