The market data company introduces new product to address trading firms' analysis challenges.
Trades Plus combines trade information, classifications and analytics to reduce coding requirements.
BMLL
Technologies launched its Trades Plus dataset today (Tuesday), marking the
first time the market data provider has developed a product directly from
feedback gathered from customers.
The new
offering combines detailed trade records with proprietary classifications and
market analytics, allowing trading firms to conduct execution analysis without
building custom code. The product aims to address what the company says is a
widespread problem among institutional investors who spend significant time
managing inconsistent data feeds.
BMLL Launches
Client-Driven Dataset for Trading Execution Analysis
BMLL
created the dataset after receiving consistent feedback from members of its Client
Product Advisory Board, which includes sovereign wealth funds, asset managers
and proprietary trading firms. These clients reported spending considerable
time combining different data sources to conduct transaction cost analysis and
execution studies.
Dr. Elliot Banks, Chief Product Officer at BMLL
“Traders
and analysts need to combine trade data with quote data to generate TCA, Best
Execution Analysis or compare Market Quality, using a combination of data
feeds,” said Dr. Elliot Banks, chief product officer at BMLL. “To
date, this has been a highly repetitive, iterative, and time-consuming
process.”
The company
claims research that previously required 100 lines of code can now be completed
with just three lines using the new dataset. The product includes BMLL's trade
classifications, extensive trade flags and order book analytics in a single
feed.
Paul
Humphrey, BMLL's chief executive, said the advisory board members described
spending “all day long grappling with poor data” and wanted an
off-the-shelf solution. The feedback prompted BMLL to consolidate various data
elements into one standardized product.
Paul Humphrey, Chief Executive Officer of BMLL, Source: LinkedIn
“Our
CPAB members include sovereign wealth funds, global asset managers and
sophisticated proprietary trading firms, including global banks and liquidity
providers,” Humphrey said. “These firms were grappling with the same
issue – collating poor quality and disparate data sets into an acceptable,
consistent and usable standard.”
One
advisory board member testing the product noted the computational benefits of
having trades automatically matched to quotes. The client highlighted the
improved trade classification capabilities, calling it “a real and
significant challenge for us and most of our peers.”
Market Expansion Following
Recent Partnerships
The launch
comes as BMLL continues expanding its market coverage and client base. The
company recently
partnered with Ultumus to enhance ETF trading analytics, with early results
showing a European ETF issuer achieved a 16% reduction in spread threshold
breaches and 12% performance improvement using the combined datasets.
BMLL also partnered
with Wamid, the technology arm of Saudi Tadawul Group, to deliver Saudi
Arabia's first cloud analytics platform for institutional investors and
quantitative analysts. The multi-year deal provides market participants in the
Kingdom with access to historical order book data through a Python-based
environment.
Product Availability and
Technical Specifications
Trades Plus
is immediately available for European markets through BMLL's Data Lab research
platform and Data Feed services, accessible via AWS S3, API, SFTP and
Snowflake. The company plans to release US market data in early fourth quarter
2025.
The dataset
includes distinct trade classifications for on- and off-exchange activity,
filtering capabilities for retail and block trades, and order book analytics
for calculating metrics like spread capture and price improvement. Users can
access the data through BMLL's scalable Python research environment.
BMLL
Technologies launched its Trades Plus dataset today (Tuesday), marking the
first time the market data provider has developed a product directly from
feedback gathered from customers.
The new
offering combines detailed trade records with proprietary classifications and
market analytics, allowing trading firms to conduct execution analysis without
building custom code. The product aims to address what the company says is a
widespread problem among institutional investors who spend significant time
managing inconsistent data feeds.
BMLL Launches
Client-Driven Dataset for Trading Execution Analysis
BMLL
created the dataset after receiving consistent feedback from members of its Client
Product Advisory Board, which includes sovereign wealth funds, asset managers
and proprietary trading firms. These clients reported spending considerable
time combining different data sources to conduct transaction cost analysis and
execution studies.
Dr. Elliot Banks, Chief Product Officer at BMLL
“Traders
and analysts need to combine trade data with quote data to generate TCA, Best
Execution Analysis or compare Market Quality, using a combination of data
feeds,” said Dr. Elliot Banks, chief product officer at BMLL. “To
date, this has been a highly repetitive, iterative, and time-consuming
process.”
The company
claims research that previously required 100 lines of code can now be completed
with just three lines using the new dataset. The product includes BMLL's trade
classifications, extensive trade flags and order book analytics in a single
feed.
Paul
Humphrey, BMLL's chief executive, said the advisory board members described
spending “all day long grappling with poor data” and wanted an
off-the-shelf solution. The feedback prompted BMLL to consolidate various data
elements into one standardized product.
Paul Humphrey, Chief Executive Officer of BMLL, Source: LinkedIn
“Our
CPAB members include sovereign wealth funds, global asset managers and
sophisticated proprietary trading firms, including global banks and liquidity
providers,” Humphrey said. “These firms were grappling with the same
issue – collating poor quality and disparate data sets into an acceptable,
consistent and usable standard.”
One
advisory board member testing the product noted the computational benefits of
having trades automatically matched to quotes. The client highlighted the
improved trade classification capabilities, calling it “a real and
significant challenge for us and most of our peers.”
Market Expansion Following
Recent Partnerships
The launch
comes as BMLL continues expanding its market coverage and client base. The
company recently
partnered with Ultumus to enhance ETF trading analytics, with early results
showing a European ETF issuer achieved a 16% reduction in spread threshold
breaches and 12% performance improvement using the combined datasets.
BMLL also partnered
with Wamid, the technology arm of Saudi Tadawul Group, to deliver Saudi
Arabia's first cloud analytics platform for institutional investors and
quantitative analysts. The multi-year deal provides market participants in the
Kingdom with access to historical order book data through a Python-based
environment.
Product Availability and
Technical Specifications
Trades Plus
is immediately available for European markets through BMLL's Data Lab research
platform and Data Feed services, accessible via AWS S3, API, SFTP and
Snowflake. The company plans to release US market data in early fourth quarter
2025.
The dataset
includes distinct trade classifications for on- and off-exchange activity,
filtering capabilities for retail and block trades, and order book analytics
for calculating metrics like spread capture and price improvement. Users can
access the data through BMLL's scalable Python research environment.
Damian Chmiel is a Senior Analyst & Editor at Finance Magnates with more than 15 years of experience in the CFD and online trading industry. Active as both a trader and journalist since 2010, he focuses on broker coverage, fintech innovation, and regulatory developments across Europe, the Middle East, and Asia.
His work includes interviews with C-level leaders at major brokerages and fintech platforms, as well as co-authoring Finance Magnates’ quarterly industry benchmarking reports. Damian’s reporting is data-driven, market-aware, and grounded in direct industry engagement. His analysis and commentary have also been cited by external media outlets, including Investing.com, Binance, The Asset, Stockhead, and Dispatch.
Education:
MA in Finance and Accounting, Cracow University of Economics
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The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
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If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
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-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
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-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
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-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
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-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
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Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
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Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
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As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
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-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
