A-Team Insight Innovation Awards 2026

LSEG FX and Tradefeedr win Most Innovative AI in Trading Initiative

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Transforming FX trading with trusted data, AI and workflow innovation

LSEG FX has been recognised at the A‑Team Insight Innovation Awards 2026, winning the Most Innovative AI in Trading Initiative category for its partnership with Tradefeedr. The award recognises how LSEG FX is applying trusted data, AI and workflow innovation to transform how FX market participants access trade analytics, improve execution outcomes and collaborate more effectively.

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Well, hello. I'm Mike O'Hara from Trading Tech Insight, and I'm here with Alex Gariab, head of FX pre- and post-trade workspace workflows at LSEG FX. I think I've got your title right there, Alex, hopefully. So congratulations, first of all, on winning the most innovative AI in trading initiative at the A-Team Innovation Awards for your joint LSEG and Tradefeedr solution. So congratulations on that. My first- Thanks, Mike. Yeah. No problem. So my first question is, what does this award actually mean to you and to LSEG and your team? So look, Mike, LSEG is essentially all-in on AI. We've been doing a lot of work, certainly in the last year, in the background, and work within LSEG, work with a lot of partners, including Tradefeedr, who now really have become an integral part of our trading workflow. They strengthen our end-to-end trading proposition, and that essentially allows us to improve the services we offer our clients, but it doesn't stop there. Right? We're now looking to deliver the entire breadth of everything we do in LSEG, data analytics, all via MCP connectivity. So currently, clients can choose how they connect to this, whether it's our applications, workflows, and so on. They're all becoming AI-enabled, either through natural language queries where they can query, and essentially what we're looking to is move to that future state where trading agents augment our customers, whether they're traders, whether they're salespeople, and how they use our end-to-end workflow basically, depending what their needs are. Right? So to answer your question specifically, this A-Team Innovation Award for AI in trading, it's an important recognition because essentially it recognizes the efforts we've been putting, and it's almost an acknowledgement in the fact that we're going in the right direction and doing the right thing for our customers and the FX ecosystem that we serve. And so that's why ultimately it does mean it's important to us. Excellent. Thanks. So, can you tell me a little bit about what it is that makes your solution so innovative and maybe some of the challenges that you're addressing? Yep. So look, this solution brings together a number of disparate solutions into a single workflow experience for our customers. And when I say our customers, effectively the objective was to augment the trader workflow through simplification, right? Making things easy. Right? And all the individual components that go into this solution already existed before, and when we started working with Tradefeedr, we weren't talking about AI. AI wasn't even on our radar, and it was more about improving that seamless end-to-end trading workflow. So, what we call the interconnected ecosystem of trading platforms, the trade repositories, the data lakes, the analytics, the market referential data, chat, collaborative channels, all these things were there. Right? But not necessarily joined up in a way that would provide an optimal workflow experience to our customers. And so what this innovation basically does is, effectively the innovation comes from leveraging AI, and the language models to do the heavy lifting to do just that, which is provide succinct answers to very complex questions and be able to do this collaboratively to provide counterparty discussions with the quality of the execution they're receiving, with the intelligence of that trading relationship, with everything that allows you to make a decision or to have a better conversation with your counterparties for a win-win outcome. Right? That's I think what is innovative about this. It's things were there, and they've been supercharged by something new, which is the advent of AI and large language models to be able to see the wood for the trees. Great. Thanks. And final question. What are your plans for further innovation over the next year and beyond? So I think we all agree that we're at the dawn of a potentially seismic shift in how the market operates going forward. I think nobody argues with that. Albeit no single member of the market ecosystem, or no one we've spoken to, whether that be the largest banks, whether it's the asset managers, whether it's the corporates, they have full certainty of how this thing is going to play out because there's many disparate members, players, and technologies, and there's still a lot of room for consolidation. Let's just put it that way. Right? So our approach at LSEG was to play to our strengths. Right? And so what that means ultimately is where do we add most value? So things like intelligent access to unique data, whether that's exhaust from the venues we run, our sort of derived, analytically derived data sets, which we have many of those, deep research and so on. Right? We have a full library of cross-asset analytics. Mm-hmm. And we have key partnerships like Tradefeedr, and there are other partnerships as well. Right? So at the end of the day, and I keep on saying this really, it's to augment a human in any role, right? Whether they're a trader, salesperson, or any other role, or conversely, machines or agents, right, that have a task to do, a job to do. Right? And the focus for innovation is boundless. I mean, there's so much. We're at the dawn here, right? But the obvious candidates, some of which we're already working on, include, for example, focus on other asset classes. We talk about fixed income, which is imminent, equities, commodities and so on. And the development of agents and tools to best leverage our capabilities to streamline those jobs you have to do, i.e. those workflows, right? Mm-hmm. To do the heavy lifting around things like market discovery, automation and so on. I mean, there's a bunch of different examples and as I said, the opportunities are boundless. Things like trade automation, right? So selecting your optimal panel of banks when you go to market, routing the trade to the right algo. All that aspect, right? Automating. Event-driven market discovery. That's an interesting one, like whether it's an event like an economic event or a trading position or a phone call from a customer, right? Automating the response to that, right? Giving you the intel so you're augmented and you don't have to be fishing around for information. Almost like a trader buddy, to call it that, or a salesperson buddy- Mm-hmm ... for reactive insight. And the list goes on and on. So in terms of our plans for future innovation, so deepen into our existing stack, expand asset class, agents, agents, agents. That's the secret sauce that allows you to provide... That's a new app almost, right? Yeah. That provides new ways of doing things based on the capabilities we have end to end, which LSEG have many. Excellent. Well, exciting times ahead, I think, with a lot of possibilities for the innovation that you're involved in. So thanks very much for taking the time today, Alex, and congratulations once again on winning the award. And yeah, well, no doubt we'll be hearing more from you soon. Awesome, Mike. Thank you very much and thanks to the A-Team. It's great to have this award and we look forward to receiving it. Pleasure. Thanks a lot. Cheers. Take care. Thank you.

Meeting the challenge of fragmentation in FX trading

FX liquidity, data and credit fragmentation have limited firms’ ability to extract meaningful insight from execution data. Trade analytics have often been constrained by narrow data pools, challenges in achieving consistent, comparable insight into liquidity‑provider performance and workflows that rely on specialist quant resources to tailor analysis.

LSEG FX and Tradefeedr address these challenges head‑on - removing friction from how trading teams can access, interpret and act on execution analytics.

AI‑powered insight, built on trusted data

At the core of the partnership is trusted, AI‑ready market data combined with Tradefeedr’s execution analytics and LSEG’s open, workflow‑centric platform approach.

By bringing high‑quality execution insight together with natural‑language AI and secure counterparty connectivity, the solution enables trading teams to move beyond isolated analysis, supporting more informed, contextual conversations across desks and firms.

AI enables users to surface pre‑trade RFQ or algorithmic forecasts, benchmark liquidity providers and explore execution outcomes through simple natural‑language queries - without writing a single line of code.

This reflects LSEG’s approach to scale AI responsibly in financial markets by pairing high‑quality, trusted data with practical, decision‑ready solutions that deliver confidence, transparency and speed.

From analysis to action - fast

Accessible within LSEG Workspace and extended seamlessly into Microsoft Teams, users access Tradefeedr’s analytics, with insights surfaced directly into Teams, enabling real time collaboration across internal teams and external counterparties.

Powered by Open Directory - a new capability within LSEG Workspace in Microsoft Teams, users can more easily discover, connect and engage with the right market participants, sharing contextual analytics in the flow of conversation. What once took hours across multiple systems is now intelligent, customised and instantaneous.

A person holding an LSEG Innovation Award trophy at a formal awards event

Alex Goraieb, Head of FX Pre- and Post-Trade Workspace Workflows at LSEG

LSEG Innovation Award logo

Shaping the next generation of financial collaboration

The FX solution recognised by this award represents an early example of a broader shift in how financial markets collaborate.

Through LSEG Workspace, foundations are being laid for a more connected financial ecosystem, where trusted identity, secure discovery and contextual insight come together across asset classes, workflows and market communities.

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