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Kalshi data is being standardized by BMLL for quant teams, enabling backtests on Fed, CPI and GDP events through Snowflake, SFTP and Data Lab.

The partnership will enable systematic hedge funds and quantitative research teams to leverage prediction market signals directly in their macro research and event-driven trading workflows.

BMLL has added Kalshi's historical order book data to the datasets it sells to hedge funds, the London-based data provider said today (Thursday).

The capital markets data provider has named the former Rimes Technologies CEO as Chairman to drive global expansion following its October 2025 acquisition.

Strategic collaboration integrates Kalshi’s regulated event contract data supporting macro-level research and event-driven trading workflows.

There is a new shareholding structure at Bolton Wanderers that gives one party a greater say - but what does that mean to the running of the club?

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BMLL, the leading independent provider of harmonised, continually engineered, historical Level 3, 2 and 1 data and analytics for Capital Markets, today announced a strategic partnership with Kalshi, the CFTC-regulated, next-generation financial exchange. The collaboration integrates Kalshi's historical prediction market data into BMLL’s global, high-fidelity data coverage. The partnership has been established to address growing institutional interest from quantitative research teams, macro and systematic hedge funds seeking to seamlessly integrate prediction market signals into their core investment workflows for macro-level research and event-driven trading. Prediction Markets Data Challenges Prediction markets are evolving rapidly, as institutions increasingly need better ways to price, manage, and trade risks that fall outside traditional asset classes, while also gaining access to better signals for decision-making. Traditionally, quantitative researchers have navigated a highly fragmented prediction market landscape, forcing data teams to manually pull piecemeal, unstructured data from disparate APIs. Sourcing and standardising this data often requires immense engineering overhead, consuming years of development time that would otherwise be spent on actual strategy modelling. Equally, sourcing high-fidelity historical book data directly from exchanges is challenging, forcing quants to rely on noisy, unstructured natural language processing (NLP) sentiment feeds (such as social media scraping) or web news NLP. Responding to Market Demand for Standardised, Institutional-Grade Prediction Data The market demands a single, consolidated, and standardised data feed that eliminates the heavy engineering overhead of gathering fragmented data from disparate APIs. This will enable institutional quants to instantly operationalise high-fidelity prediction market signals for systematic research and event-driven trading. BMLL directly eliminates this technical barrier by normalising Kalshi’s historical order book into the same unified schema as CME Event Contracts. This standardisation allows systematic firms to skip complex, bespoke data engineering and perform immediate, cross-asset macro research from day one. In addition, as a CFTC-regulated Designated Contract Market, Kalshi's contracts represent financially committed capital, meaning contract prices (ranging from 1¢ to 99¢) directly translate to real-world, well-calibrated probabilities. Even on contracts with lower liquidity, the quote midpoint provides a highly calibrated macro probability signal for major policy announcements and key macroeconomic releases. Paul Humphrey, CEO of BMLL, said: "Our systematic hedge fund and quantitative clients have shown urgent and active demand for high-fidelity, historical prediction market data to support macro-level research. Sourcing and normalising these fragmented datasets has historically been inefficient and resource-heavy for quant teams, slowing down valuable research time and critical development. By adding Kalshi to our coverage and normalising its historical dataset to match the CME Event Contracts schema, we are removing the burden of data engineering. This allows quant teams to bypass complex API parsing and immediately unlock predictive macro signals through Snowflake, SFTP, or the BMLL Data Lab." Andy Ross, Head of Institutional at Kalshi, added: “Institutional participants increasingly need better ways to price and manage event-driven risk directly, rather than relying solely on proxy assets. They also want to understand how prediction-market prices can inform their view of traditional financial markets. By bringing Kalshi’s historical market data into BMLL’s normalized research environment, firms can compare those signals, test strategies and incorporate event probabilities directly into their macro research and risk-management workflows. This is another important step in making prediction markets part of the institutional toolkit.” Using this normalised historical data, quantitative researchers can backtest and calibrate systematic models around critical macroeconomic developments, such as Federal Reserve interest rate decisions, CPI releases, and GDP prints. The data also enables firms to generate cross-asset alpha, hedge regulatory risks across active portfolios, and construct proprietary, institutional-grade prediction indices and forward curves for macro-level analysis. Furthermore, this standardised feed allows researchers to evaluate and prepare for emerging prediction products, including Multivariate Events (MVEs) and Perpetual Futures.

Trillium Surveyor has expanded its market data infrastructure, integrating BMLL, Databento, and LOTECH to improve data flexibility as trading evolves.

BMLL appoints Brad Hunt as Chairman of the Board to accelerate global growth following Nordic Capital acquisition London / New York, 29 July 2026: …

BMLL, the independent provider of harmonised, continually engineered historical Level 3, 2 and 1 data and analytics for Capital Markets, today announced the appointment of Brad Hunt as Chairman of the Board.  With a 30-year track record of developing and transforming financial data businesses. Hunt most recently served as CEO of Rimes Technologies, where he led their business expansion from benchmark data management into enterprise data management and investment solutions, and their successful sale in 2024. Prior to this, he ran strategy and business development for Global Markets at Bank of New York Mellon, following senior strategic roles at IHS Markit and Goldman Sachs International in London. Hunt succeeds Lee Hodgkinson, who will remain on the board as an independent Non-Executive Director (NED). Hodgkinson, currently Group Chief Strategy Officer at Saudi Tadawul Group, previously served as CEO of Euronext London and Head of Markets and Global Sales, and CEO of global derivatives trading firm OSTC. Hunt joins existing board directors, including recently appointed US-based independent NED, Spiros Giannaros. Spiros brings three decades of fintech and scaling expertise. He currently serves as CEO of Gresham Technologies, and previously as CEO and President of Charles River Development, Executive Vice President at State Street Bank, and Partner at IHS Markit. Additional board directors include Paul Humphrey, CEO, BMLL; Nigel Medhurst, CFO and COO, BMLL; Nordic Capital’s David Samuelsen, Principal, and Dan Rosenberg, Managing Director; and Optiver representative Hilde Kaemingk (NED), Director at Rambutan Capital. These appointments follow the recent acquisition of BMLL by Nordic Capital in October 2025. The strengthened board brings enhanced expertise that will accelerate BMLL's expansion and deliver greater value to financial market participants globally. Paul Humphrey, CEO, BMLL, said: “I am delighted to welcome Brad to BMLL as our new Chairman. When Nordic Capital came on board, we made our intentions very clear, and we continue to deliver on this mission. As we accelerate our global footprint and continue to help market participants make sense of shifting market dynamics, Brad's deep industry expertise will be invaluable as we scale. I also want to thank Lee Hodgkinson for his excellent stewardship as Chairman and his continued dedication to the firm as an independent Non-Executive Director, and welcome Spiros Giannaros as our US-based independent NED, further strengthening our governance.” Brad Hunt, Chairman of the Board, BMLL, added: "I am incredibly excited to join BMLL at such a pivotal time following the Nordic Capital acquisition. Throughout my career, I have been passionate about solving industry-wide issues of data complexity and cost. BMLL has built an enviable reputation for delivering the industry's highest quality historical data products, allowing institutions to execute complex data strategies cost-effectively. There is a clear, growing appetite among market participants for this depth of insight without the traditional operational overhead. I look forward to working with Paul, the Board, and the Nordic Capital team to scale our presence globally and help our clients leverage unique data, analytics and advanced workflows to truly optimise their investment and trading strategies."

BMLL, the independent provider of harmonised, continually engineered historical Level 3, 2 and 1 data and analytics for Capital Markets, today announced a partnership with SIGMA AI, a provider of real-time actionable intelligence for financial markets. The partnership will combine BMLL’s high-fidelity historical order book data with SIGMA’s real-time engine to deliver a new intelligence layer that will allow market participants to instantly contextualise live market flow against deep historical benchmarks.  Actionable Insights through Combined Historical and Real-Time Analytics The collaboration will create a unique product category by pairing the “normal” with the “now”. BMLL will bring its definitive historical Level 3, 2 and 1 order book data to establish baseline metrics around volatility, liquidity, spread behaviour, and auction dynamics. SIGMA AI will add its "Quant in the Cloud" streaming platform, applying continuous real-time computation, machine learning inference, and natural language delivery to live market data. This combined approach will enable SIGMA's platform users to detect anomalies, classify market regimes, and generate actionable alerts by continuously comparing live market conditions to the historical context provided by BMLL. Anticipated users include exchanges and market data providers, low-touch and high-touch buy-side institutions, sell-side brokers and platform vendors, as well as market makers and quantitative firms. Use cases will include execution intelligence and benchmarking, market impact scoring and regime classification. Paul Humphrey, Chief Executive Officer of BMLL, said: "We are delighted to welcome SIGMA AI to our BMLL Activate Data Credits Programme. Real-time analytics and decision support are a natural application layer on top of high-quality historical order book data; this partnership reflects our focus on enabling sophisticated, AI-driven workflows on top of BMLL data. Jointly, we will empower market participants with a new level of execution intelligence”. Andy Simpson, Founder & CEO at SIGMA AI, said:  "We are very excited about our collaboration with BMLL. Together, we are building a production-ready analytics layer that generates actionable intelligence by comparing live conditions to a BMLL-derived historical context. BMLL's strength is the definitive historical record, while SIGMA AI's strength is continuous real-time computation, ML inference, and natural language delivery on live market data.  The combination will create a product category that doesn't exist today and will help market participants measure execution quality against historical baselines.  The solution is intended for global trading. It will initially focus on Saudi Arabia, the UK and European instruments before expanding to the US, bridging the gap between historical reporting and real-time actionable insights.” Partnership anchored in SIGMA’s participation in the 'BMLL Activate' Data Credits Programme SIGMA AI is a participant in the 'BMLL Activate - Data Credits Programme', which is designed to help high-potential partners build, test, and launch new analytics or data-driven solutions on top of BMLL’s historical Level 3, 2 and 1 market data. The program helps firms move from idea to market validation more quickly by offering lower to no upfront data licence costs during the build phase. Under this programme, selected partners receive a defined allowance of BMLL data credits that can be redeemed for agreed, structured access to the BMLL Data Lab and/or BMLL Data Feed. This covers a defined scope of selected datasets, instruments, venues, and historical time windows, supporting rapid product development in a controlled way while providing a clear path to commercial rollout if the use case is successful.

* XTech US Equity Flow, powered by BMLL, disentangles institutional vs retail positioning with unprecedented granularity to deliver tradable signals * This unique analytics category provides market participants with high-resolution visibility into investor behaviour and intentions before they are fully priced into the market BMLL, the leading independent provider of continually engineered, harmonised, historical Level 3, 2 and 1 data and analytics for Capital Markets, spanning global equities, ETFs, futures and US equity options, and Exponential Technology, the pioneer of market-microstructure analytics that transforms full-depth order-book data into investor-flow analytics - decomposing market activity into institutional, market-maker and retail buying and selling, today announced a partnership to launch XTech US Equity Flow, a new class of investor-flow analytics powered by BMLL. The first product to launch as a result of the collaboration, XTech US Equity Flow decodes full-depth US equity order book data into net buying and selling activity by investor type, transforming raw market microstructure into highly granular, tradable signals. Additional products will be launched in due course. Decoding trader intentions with confidence  Understanding whether a market move is being driven by institutions or retail investors is critical for identifying profitable trading opportunities. This separation of investor types, breaking flow down into high-frequency traders (HFTs), funds, and retail investors to achieve a higher benchmark for accuracy, is made possible by the unprecedented granularity, depth and breadth of the underlying BMLL data. For discretionary portfolio managers in particular, this turns a familiar problem on its head: when a stock moves, flow reveals whether the move is temporary market impact, such as a large player pushing price as they trade, or genuine repricing on new information. While traditional market offerings typically rely on consolidated feeds, Exponential Technology integrates BMLL’s full Level 3 order book data across all US equity venues. By blending historical (T+1) data with other delayed sources and proprietary inference methods, XTech US Equity Flow transforms raw market microstructure into the actionable, near real-time signals needed to separate institutional and retail flow. Clients can access data in one-minute, hourly, daily, or weekly intervals, alongside T+1, 15-minute delayed delivery options. The dataset provides over six years of history spanning from January 2020 to the present, while advanced tiers add decomposition into HFT, fund, and retail flow on a per-exchange and per-ticker basis. Accessible visualisations for a diverse target audience To ensure broad accessibility, the product features a visualisation layer and data analytics platform complete with interactive dashboards and agentic research workflows. This enables non-quant users, such as discretionary asset managers, to monitor discrepancies between institutional and retail flows in near real-time. XTech US Equity Flow is tailored for key market participants, including: * Quant and systematic funds: A ready-to-use flow signal with six years of history, sourced from harmonised, nanosecond-granular Level 3 data. * Discretionary asset managers and hedge funds: Near real-time visibility into whether institutions or retail investors are driving a market move. * Banks and the sell-side: Institutional-grade microstructure intelligence built on the same Level 3 data trusted by banks, exchanges, and regulators worldwide. Paul Humphrey, Chief Executive Officer, BMLL, said: “This partnership marks a critical shift in how the market extracts intelligence. The richest, most actionable insights are no longer found in top-of-book data or simple trade prints, but in complete order-book reconstruction. We are incredibly proud to see sophisticated partners like Exponential utilise BMLL’s Level 3 data as the definitive foundation for this entirely new class of investor-flow analytics.” Morgan Slade, Chief Executive Officer and Head of Research, Exponential Technology, added: “We have seen first-hand that institutional flow, decoded from order-book data, explains roughly 80% of open-to-close price moves in US equities and reliably anticipates directional performance. By applying our proprietary inference methods, built on 25+ years of running HFT and systematic strategies, to BMLL’s unique Level 3 venue data, we decode order-book activity into institutional and retail flow at a granularity never before available to the market. BMLL’s data is the ideal foundation. Together, we are giving investors a genuinely new perspective on previously hidden investor movements.”

BMLL, the leading independent provider of continually engineered, harmonised, historical Level 3, 2 and 1 data and analytics for Capital Markets, spanning global equities, ETFs, futures and US equity options, today announced the appointment of Michael Chiappinelli as Chief Revenue Officer. Based in the USA, he will lead the company’s international commercial strategy and revenue organisation, accelerating global market expansion and deepening institutional client engagement. Michael will report to Paul Humphrey, CEO of BMLL, and join its executive management team. Chiappinelli’s appointment is a key part of BMLL's growth strategy, following the recent acquisition by Nordic Capital in October 2025. In his role, the global sales function will report directly to him, as he focuses on scaling BMLL’s global footprint, capitalising on the demand for harmonised, multi-asset historical data, and reinforcing the company's position as the leading provider of advanced market data and analytics solutions. Chiappinelli brings over 25 years of institutional sales leadership experience in financial market data, advanced analytics, algorithmic trading technology, and enterprise SaaS, having built and scaled high-performing global sales organisations serving premier hedge funds, asset managers, investment banks, and private equity firms. Prior to joining BMLL, he served as Global Head of Sales & Account Management for the Investors vertical at Similarweb and as Managing Director and Head of Sales at SESAMm. He also held senior leadership roles at Acuris, Cowen, and Refinitiv. He has successfully led commercial organisations across both private equity-backed growth companies and established global financial information providers, helping institutional clients leverage sophisticated data, market structure insights and AI-driven analytics to enhance investment, trading and quantitative research workflows. Paul Humphrey, CEO, BMLL, said: “I am delighted to welcome Mike to the team. His appointment is a crucial step in our global expansion following the acquisition from Nordic Capital. Bringing him on board will be instrumental to delivering on that mission as we accelerate our global footprint. In a market where the demand for actionable intelligence has never been greater, AI continues to fuel unprecedented institutional demand for the highest quality content, the artifact of first-class engineering capabilities. Michael’s deep expertise in leading high-performing global sales organisations will be instrumental in helping us capitalise on this momentum. He joins us at an incredibly exciting time, and his leadership will ensure we continue to empower market participants globally with the harmonised, multi-asset data and analytics they need to innovate and win." Michael Chiappinelli, Chief Revenue Officer,  BMLL, added: "I am incredibly excited to join the firm at such a defining time. BMLL has built an enviable reputation for delivering the industry's highest quality historical data products, and there is a clear, growing appetite among institutional participants for this depth of insight. Advancements in AI play to our core strength at BMLL and I am looking forward to capitalising on this.  I look forward to working with the team to scale our presence globally and help our clients leverage unique data, analytics and advanced workflows to truly optimise their investment and trading strategies."

BMLL, the leading, independent provider of harmonised, Level 3, 2 and 1 historical data and analytics to the world’s financial markets, today welcomes Five Rings to its Client Product Advisory Board (CPAB).  Five Rings is a New York-based proprietary trading firm founded with a vision of combining quantitative expertise, rapid innovation, and highly-scalable technology to succeed in today’s global markets, trading in various domestic and international markets, both established and esoteric.  They join the CPAB in support of its mission to elevate the standard of historical market data for the benefit of the entire industry and to offer its breadth of technological and market structure expertise  to help shape BMLL’s future product roadmap. Five Rings values BMLL Data Lab, the scalable Python research sandbox that provides access to full-depth, Level 3 order book data; and BMLL Data Feed for flexible data delivery.  With experience in quantitative trading across asset classes, Five Rings relies on high-fidelity data to explore new market opportunities, to make effective data-driven decisions, and to enhance its quantitative research and analytics workflows. BMLL added OPRA options data in November 2024, and today, over seven years of historical, nanosecond unconflated OPRA options data are available to market participants globally, complementing BMLL’s existing US equity and futures datasets. OPRA options data is immediately available via BMLL Data Lab and BMLL Data Feed, via AWS S3, and at multiple levels of conflation that suit clients’ individual specific requirements. Parker Lim, Head of Special Projects, Five Rings, said: “We work in teams of quantitative researchers, developers, and traders, continuously seeking new opportunities and deploying our strategies. BMLL’s high-quality data and research environment have become instrumental as we continue to expand into new markets and modes of execution, enabling us to perform reliable quantitative analysis to move quickly from insight to implementation.”  BMLL Chief Executive Officer, Paul Humphrey, said: "The CPAB continues to gain strong momentum as a client-led initiative, and we’re delighted to welcome a highly sophisticated firm like Five Rings to the community. Leading firms like theirs are placing trust in our data normalisation capabilities and are increasingly leveraging our historical data to shape their global strategies.  While their involvement gives them visibility of and input into the evolution of BMLL’s product offering, their contribution to the CPAB provides us with valuable insight as we look to elevate the standard of historical market data across the industry.” Launched in February 2025, in response to client requests, the CPAB is a forum that aligns the leading sovereign wealth funds, asset managers, banks, liquidity providers, and proprietary trading firms around a common goal: to set the standard of historical data across the industry. Specifically, member firms collaborate and define best-in-class data symbology and normalisation processes and protocols, data delivery methods and coverage needs, and make these available to the wider market.  Globally, BMLL’s historical market data now covers more than 100 trading venues, spanning global equities, ETFs, futures and US equity options; its equities offering covers 100% of the MSCI World Index.

* SpiderRock US equity options print set data now available via BMLL Data Lab * New dataset availability will enable clients to combine SpiderRock US equity options trade level analytics with BMLL’s historical options and equity data to study cross-asset market structure * Joint white paper shows how combined SpiderRock and BMLL data can unlock new insight into volatility dynamics, hedging flows and intraday price behaviour BMLL, the leading independent provider of harmonised, historical Level 3, 2 and 1 data and analytics across global equities, ETFs, futures and US equity options, today announced that SpiderRock’s Options Print Set data is available through the BMLL Data Lab. SpiderRock Options Analytics Now Available in BMLL Data Lab The addition of SpiderRock’s Options Print Set data enhances BMLL’s cross-asset research environment, enabling clients to analyse the interaction between options markets and underlying cash equity behaviour within a single framework. By combining SpiderRock options print level analytics with BMLL’s high-quality historical equity data, users can explore how dealer positioning, hedging flows and volatility conditions influence intraday price formation and liquidity. Through the BMLL Data Lab, clients will be able to access SpiderRock’s options print level implied volatility and Greeks data alongside BMLL’s historical equities, futures and options market data to support quantitative research, strategy development and market structure analysis. This provides a unified environment for studying how options hedging flows affect spot liquidity patterns, and how underlying market microstructure in turn affects options pricing and risk. Joint White Paper Highlights the Power of Cross-Asset Research The launch is supported by a joint white paper, which demonstrates how SpiderRock’s options analytics can be used alongside BMLL’s intraday equity data to estimate dealer gamma positioning and analyse resulting price dynamics in the underlying stock. The paper shows how net short-gamma positioning can amplify intraday momentum through delta-hedging activity, and how these dynamics can be studied systematically using an integrated data approach. Elliot Banks, Chief Product Officer, BMLL, said: “At BMLL, we are focused on giving clients access to the data they need to answer increasingly complex cross-asset questions. Making SpiderRock’s options print analytics available in the BMLL Data Lab allows users to combine SpiderRock’s options analytics with detailed historical market data in one environment, helping them accelerate research and generate deeper insight into market dynamics.” Craig Iseli, Chief Operating Officer at SpiderRock, added: “SpiderRock’s options analytics are designed to help market participants better understand volatility and risk. Making this data available through BMLL Data Lab extends that value further, enabling clients to connect options market signals with underlying equity behaviour and supporting more advanced quantitative and market structure research.” The availability of SpiderRock data in BMLL Data Lab marks a further step in BMLL’s strategy to bring together high-value partner datasets with its own historical market data and analytics, helping clients accelerate research and unlock new trading and market intelligence use cases. The BMLL and SpiderRock partnership allows institutional clients to better understand, predict, and capitalise on the complex market interdependencies between equity spot and options markets.

BMLL, the leading independent provider of harmonised, historical Level 3, 2 and 1 data and analytics across global equities, ETFs, futures and US equity options, today announced a significant string of strategic appointments to fuel the company’s next phase of growth. The appointments span key commercial and technical functions, including partnerships, sales, revenue operations, finance, engineering and digital marketing, reflecting BMLL’s continued investment in scaling its global operations. These strategic hires follow the recent acquisition of BMLL by Nordic Capital in October 2025, an investment made to accelerate the company's global expansion. Paul Humphrey, Chief Executive Officer of BMLL, commented on the team expansion: “When Nordic Capital came on board, we made our intentions very clear, and we continue to deliver on this mission. We continue to invest globally in broadening venue and asset class coverage, increasing our years of history, expanding our team and deepening our partnerships.  I am delighted that we have secured such exceptional talent and industry expertise to drive our next phase of growth as we accelerate our global footprint. They bring invaluable experience across all our business functions and join us at an incredibly exciting time for the business. We are empowering participants in every corner of the market with the data and analytics they need to make sense of ever-changing liquidity dynamics.  What’s more, AI continues to fuel demand for the highest quality content that allows our clients and partners to expand their businesses with increased innovation. The race for insights is on, and BMLL is proving itself to be a valuable partner for our clients by delivering efficiencies and enabling faster innovation”  To drive this commercial and technical expansion, BMLL has welcomed the following senior hires: * Deyan Kolev, Head of Corporate Development & Partnerships. Deyan will join the executive management team of BMLL, reporting to Paul Humphrey, and brings extensive experience in corporate strategy and development from previous roles at Tradeweb, Informa, Euronext and NYSE. BMLL  has also made significant hires in its Go-to-Market team: * Mo Badlani, Senior Sales Director, Hedge Funds, US. He joins from Lightkeeper and brings extensive experience in both the buy and sell sides, working closely with hedge funds and asset managers, with previous roles at Eze Software, Enfusion, Société Générale and UBS. * Nick Haydon, Senior Sales Director, Enterprise. He has deep expertise in sales, account management and business development from the London Stock Exchange Group (LSEG), FIS and Thomson Reuters. * Mariel Solomon, Head of Revenue Operations. She previously held senior business operations roles at LogicMonitor and Moody’s Analytics. Also joining the team are:  * Theo Lane, Head of Digital Marketing * Paolo Ferri, Financial Controller  * Wojciech Wojtkowski, Software Engineer * Ryan Henzell-Hill, Data Platform Engineer * Robert Anderson, C++ Developer These appointments follow the recent addition of Karen King as Head of Sales, APAC, and Kevin Barrett as Senior Sales Director, Listed Derivatives, US.  Further hires across research, product and sales are planned for Q2, as BMLL continues to scale its capabilities. 

* Gives users greater flexibility in how they access and use BMLL data across equities, futures and options * Accelerates time to insight across use cases such as TCA, market surveillance, trade and execution analysis, backtesting, stress testing and strategy development * Enables existing Databricks customers to rapidly access BMLL high-quality data with minimal integration effort or storage costs.  BMLL, the leading independent provider of historical market data and analytics across global equity, ETFs, futures and options, today announced that the BMLL Historical Data is now available via Databricks. This move furthers BMLL’s commitment to delivering content wherever customers need it, with initial users including some of the world’s largest investment management firms.  Driven by customer demand and BMLL’s Client Product Advisory Board (CPAB), the collaboration reflects BMLL’s ongoing strategy to give customers greater choice in how they discover, access and evaluate datasets. Alongside Databricks, BMLL data and analytics are available via a broad range of delivery mechanisms, including API, SFTP, S3 and more.   By launching on Databricks, BMLL enables a wider range of market participants to accelerate time to insight and extract value faster. A series of marketplace notebooks, created by the BMLL team of expert quantitative analysts, allows Databricks users to easily and quickly discover and evaluate the BMLL product suite - with minimal integration effort or the costs associated with data storage. Use cases include execution analysis, research and backtesting, market structure analysis, TCA, market surveillance and risk.  Paul Humphrey, Chief Executive Officer of BMLL, said: “Both the sophistication of the market and the demand for high-quality historical market data continue to grow. This is why firms rely on our robust engineering and normalisation processes to make effective use of our granular data, and we are excited to make BMLL datasets available on the Databricks platform. We essentially meet our customers where they need us to be - within their existing workflows. They now have additional choice and flexibility in how they access our data to carry out faster and more efficient analysis, at scale.”

BMLL, the leading independent provider of harmonised, historical Level 3, 2 and 1 data and analytics across global equities, ETFs, futures and US equity options, today announced the appointment of Kevin Barrett as Senior Sales Director, Listed Derivatives. Joining BMLL's US team, Barrett will be responsible for driving the company's growth in the listed derivatives space. Barrett’s appointment comes at a time of accelerated growth for BMLL, following its acquisition by Nordic Capital and the launch of a strategic partnership to support the company’s next phase of expansion. This hire underscores BMLL’s commitment to scaling its product offering and team globally, and follows the recent appointment of Karen King as Head of Sales for APAC. Barrett brings over three decades of significant industry experience to the role, with deep expertise in futures, options, and quantitative research. Prior to joining BMLL, he spent over ten years at Quantitative Brokers in New York as a Buy Side Futures Sales Specialist, where he was responsible for the full sales cycle of the firm’s futures, options, spot FX, and US cash treasury execution algorithms. Earlier in his career, he spent nine years at Graham Capital Management serving as a Quantitative Research Analyst, Portfolio Analyst, and Portfolio Manager, where he researched and developed alpha-generating trading strategies with a primary focus on global futures and spot FX. His extensive background also includes trading and research roles at Willowbridge Associates, Bengal Partners LLC, Trout Trading Management Co., and Merrill Lynch. Jenny Chen, Head of Sales (Americas) at BMLL, said: “We are delighted to welcome Kevin to the team. His experience will be invaluable in driving our growth across the region as we aim to deliver BMLL data and analytics to every corner of the market. He joins us at a very exciting time for the business, as we accelerate our global footprint and continue to help market participants make sense of shifting market dynamics in a highly volatile and competitive environment.” Kevin Barrett, Senior Sales Director, Listed Derivatives at BMLL, said: “I am incredibly excited to join BMLL as the company looks to significantly expand its product offering. BMLL is actively building out its coverage in global futures markets, which includes delivering Level 2 and Level 1 data feeds for futures and developing analytics to match the exceptional quality and depth of its existing equity analytics. Drawing on my own background in quantitative research and trading, I intimately understand the challenges market participants face when researching and developing trading strategies. I know firsthand the tremendous value that BMLL's harmonised high-quality data and analytics can bring to researchers and quants looking to optimise their trading strategies.” Rob Laible, Head of Americas, BMLL, said: “When Nordic Capital came on board, we made our intentions very clear, and we continue to deliver on this mission. We continue to invest in expanding our global venue footprint and extending our data coverage. This includes adding new asset classes such as global futures and options, and actively scaling our go-to-market teams globally. We are delighted to welcome Kevin to the team.”

* Joint pilot extends Tradefeedr’s FX pre- and post-trade analytics into new asset classes, powered by BMLL historical datasets * Outputs delivered through Tradefeedr’s existing client network and distribution model * Market participants will be invited to join a year-long pilot to shape what AI-ready analytics APIs look like for the industry BMLL, the leading independent provider of harmonised, historical Level 3, 2 and 1 data and analytics across global equity, ETFs, futures and US equity options, today announced a partnership with Tradefeedr, the leading network for trading analytics and collaborative data sharing. The partnership will support Tradefeedr’s expansion into equities and futures, powered by BMLL’s high-fidelity historical market datasets.   A new foundation for trading analytics in the AI era As institutions accelerate the automation of trading workflows and begin deploying AI applications across the front office, the need for clean, accessible, enriched trading data has never been greater. Yet for many firms, execution data remains fragmented across asset classes, brokers and platforms - making it difficult to standardise, benchmark or feed into downstream analytics and AI tools.  Tradefeedr and BMLL are partnering to address this gap. Combining best-in-class data with best-in-class API service The partnership brings together BMLL's harmonised historical order book datasets across equities and futures with Tradefeedr's analytics APIs, common data layer and connected community of more than 100 institutional clients. Together, they will deliver enriched, standardised trading data through a single unified API — creating a foundational layer to power the next wave of innovation in execution analytics across the industry. Paul Humphrey, Chief Executive Officer of BMLL, said: “Tradefeedr has built a strong distribution model for execution analytics but the sourcing of high quality market data has always been a challenge until now. This partnership brings BMLL’s harmonised historical order book datasets into that workflow to support more consistent benchmarking across futures and equities.” Balraj Bassi, Chief Executive Officer at Tradefeedr, added: “Clients want multi-asset execution analytics that are consistent, scalable and easy to operationalise. Access to harmonised historical order book datasets from BMLL gives us the foundation to expand our TCA coverage into equities and futures. We're inviting market participants to join this pilot to shape what comes next — building the analytics delivery stack for the AI era.” Call to the industry BMLL and Tradefeedr are inviting market participants to join a year-long pilot to help build and validate this new capability from the ground up. Participants will work alongside both firms to define metrics, stress-test data quality, shape AI-ready context layers and provide feedback on benchmarks and reporting outputs — all delivered through Tradefeedr's existing network and legal framework. This is an opportunity to help define what AI-ready trading analytics looks like for the industry. Enabled through Tradefeedr’s participation in the BMLL Activate: Data Credits Program The partnership is supported by Tradefeedr’s participation in the BMLL Activate: Data Credits Program. This initiative enables qualified partners to build and validate new products on BMLL data with a route to long term deployment.

* Joint pilot extends Tradefeedr’s FX pre- and post-trade analytics into new asset classes, powered by BMLL historical datasets * Outputs delivered through Tradefeedr’s existing client network and distribution model * Market participants will be invited to join a year-long pilot to shape what AI-ready analytics APIs look like for the industry BMLL, the leading independent provider of harmonised, historical Level 3, 2 and 1 data and analytics across global equity, ETFs, futures and US equity options, today announced a partnership with Tradefeedr, the leading network for trading analytics and collaborative data sharing. The partnership will support Tradefeedr’s expansion into equities and futures, powered by BMLL’s high-fidelity historical market datasets.   A new foundation for trading analytics in the AI era As institutions accelerate the automation of trading workflows and begin deploying AI applications across the front office, the need for clean, accessible, enriched trading data has never been greater. Yet for many firms, execution data remains fragmented across asset classes, brokers and platforms - making it difficult to standardise, benchmark or feed into downstream analytics and AI tools.  Tradefeedr and BMLL are partnering to address this gap. Combining best-in-class data with best-in-class API service The partnership brings together BMLL's harmonised historical order book datasets across equities and futures with Tradefeedr's analytics APIs, common data layer and connected community of more than 100 institutional clients. Together, they will deliver enriched, standardised trading data through a single unified API — creating a foundational layer to power the next wave of innovation in execution analytics across the industry. Paul Humphrey, Chief Executive Officer of BMLL, said: “Tradefeedr has built a strong distribution model for execution analytics but the sourcing of high quality market data has always been a challenge until now. This partnership brings BMLL’s harmonised historical order book datasets into that workflow to support more consistent benchmarking across futures and equities.” Balraj Bassi, Chief Executive Officer at Tradefeedr, added: “Clients want multi-asset execution analytics that are consistent, scalable and easy to operationalise. Access to harmonised historical order book datasets from BMLL gives us the foundation to expand our TCA coverage into equities and futures. We're inviting market participants to join this pilot to shape what comes next — building the analytics delivery stack for the AI era.” Call to the industry BMLL and Tradefeedr are inviting market participants to join a year-long pilot to help build and validate this new capability from the ground up. Participants will work alongside both firms to define metrics, stress-test data quality, shape AI-ready context layers and provide feedback on benchmarks and reporting outputs — all delivered through Tradefeedr's existing network and legal framework. This is an opportunity to help define what AI-ready trading analytics looks like for the industry. Enabled through Tradefeedr’s participation in the BMLL Activate: Data Credits Program The partnership is supported by Tradefeedr’s participation in the BMLL Activate: Data Credits Program. This initiative enables qualified partners to build and validate new products on BMLL data with a route to long term deployment.