ETF data provider Ultumus has teamed up with market data firm BMLL Technologies to offer enhanced analytics and trading insights to the global exchange-traded fund community.

Ultumus Partners with BMLL to Enhance ETF Trading Data

The partnership combines Ultumus' ETF reference and index data with BMLL's historical market information across multiple asset classes. BMLL customers, including banks, asset managers, and hedge funds, can now access Ultumus data through BMLL's research platforms.

A European ETF issuer already tested the combined services and reported 16% fewer spread threshold breaches and a 12% performance improvement. The firm used Ultumus' Portfolio Composition File service alongside BMLL's analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision-making. In the trading space, analytics are applied in a predictive manner in an attempt to forecast the price more accurately. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analy Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision-making. In the trading space, analytics are applied in a predictive manner in an attempt to forecast the price more accurately. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analy Read this Term to evaluate its trading spreads.

Paul Humphrey, BMLL's chief executive, said the partnership extends the firm's data coverage strategy. “Our global customer base is now able to use these combined data sets to deepen their understanding of ETF liquidity dynamics,” he noted.

Ultumus provides daily ETF and index data to market participants worldwide. The London-based company, owned by SIX Group, launched in 2016 and has expanded across Asia and North America.

BMLL offers historical trading data from over 100 venues globally, covering equities Equities Equities can be characterized as stocks or shares in a company that investors can buy or sell. When you buy a stock, you are in essence buying an equity, becoming a partial owner of shares in a specific company or fund.However, equities do not pay a fixed interest rate, and as such are not considered guaranteed income. As such, equity markets are often associated with risk.When a company issues bonds, it’s taking loans from buyers. When a company offers shares, on the other hand, it’s selling pa Equities can be characterized as stocks or shares in a company that investors can buy or sell. When you buy a stock, you are in essence buying an equity, becoming a partial owner of shares in a specific company or fund.However, equities do not pay a fixed interest rate, and as such are not considered guaranteed income. As such, equity markets are often associated with risk.When a company issues bonds, it’s taking loans from buyers. When a company offers shares, on the other hand, it’s selling pa Read this Term, ETFs, futures, and options. The Cambridge-founded firm raised $21 million in October 2024 from investors including trading firm Optiver.

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Alliance to Boost Efficiency

The collaboration centers on measuring how accurate fund data affects trading outcomes. Ultumus will use BMLL's granular market information to assess the impact of its Portfolio Composition File service on trading efficiency.

“By utilising BMLL's granular Level 3 data and analytics, we're able to quantify how accurate, timely fund data improves trading outcomes and market efficiency,” said Bernie Thurston, Ultumus CEO.

The partnership makes Ultumus data available through BMLL's Python research environment and visualization platform before market open each day. Both firms expect the collaboration to lead to tighter spreads and improved pricing across ETF markets.

BMLL previously secured funding from Nasdaq Ventures, FactSet, and Snowflake Ventures, raising over $80 million total since its founding in the University of Cambridge machine learning labs.

For BMLL, this marks another recent collaboration following its multi-year partnership with Wamid, the technology arm of Saudi Tadawul Group, to deliver the Saudi market’s first white-labeled cloud analytics platform for institutional investors and quantitative analysts. Earlier, the company expanded its partnership with Exegy, focusing on integrating historical and real-time data to support U.S. equity options trading.