Opening & Welcome
Andrew Delaney, President & Chief Content Officer, A-Team Group

Panel: The evolution of markets and impact on trading technology

This session examines how evolving regulatory frameworks, venue innovations, and market structure shifts across the UK and Europe are redefining liquidity sourcing and front-office technology strategies.

• How are upcoming policy statements and trilogue negotiations reshaping market structure across the UK and Europe, and what should trading technology teams be planning for now?
• What is the practical impact of the Consolidated Tape and retail flagging on market data costs and transparency for buy-side and sell-side firms?
• How are venue innovations, such as private execution rooms and frequent batch auctions, changing the way firms discover bilateral liquidity?
• What role will the new Systematic Internaliser rules, including Systematic Internaliser Units, play in future execution models?
• Will asset tokenisation and interoperability between platforms fragment liquidity further, or usher in a new market structure?
• How should market participants measure whether consolidated tape initiatives are succeeding across global venues?

Moderator: Scott Charity, Co-Chair, Global Steering Committee, FIX Community; Head of Market Structure, Berenberg
Laetitia Visconti, Head of Market Structure, Aquis Exchange
Virginie Saade, Managing Director, Head of Government & Regulatory Policy, EMEA, Citadel LLC
Veronica Taylor, Head of Sales, EuroCTP

Panel: Balancing performance with resilience for trading in continuous, multi-asset, global markets

This panel explores how trading firms are engineering zero-downtime architectures to support continuous 24/5 and 24/7 global multi-asset operations without compromising performance, risk management, or regulatory compliance.

• What does running trading around the clock really change for technology teams, and what has proved hardest in practice?
• How can firms keep their trading systems up to date and secure without interrupting trading?
• How are teams maintaining end-to-end visibility of system health, from market connectivity through to order and execution management, so that problems are caught before they affect trading?
• How are firms running pre-trade risk checks fast enough to keep up with the market without weakening the controls?
• How can risk management and portfolio valuation run continuously across asset classes when there is no traditional market close?
• How are firms using AI, APIs and modern platforms to scale and build a continuous trading environment?
• What is the reality of continuous trading in European markets, and what needs to change in market infrastructure to make it work?

Moderator: Andrew Delaney, President & Chief Content Officer, A-Team Group
Minhaj Ahmed, MSS Equities Product Owner, HSBC

Keynote: Available for sponsorship

Buy-side innovations: Re-engineering the front-office desk

This session delivers a practical practitioner case study on how asset managers are transforming execution workflows, desk architecture, and liquidity provider relationships through automation and agentic tools.

• How are automated execution and agentic workflows changing how front-office desks discover liquidity and interact with sell-side partners?
• What operational and cultural shifts are required to successfully transform a traditional asset-class desk into a multi-asset trading operation?

Panel: Building the infrastructure for agentic trading: from build to production

The session looks at the technology stack that takes AI-driven trading from prototype to production. It covers how trading applications and agents are built using AI application builders and low-code tools, how teams decide what AI-generated code can safely ship, how agents connect to order and execution platforms, and the controls and infrastructure that sit underneath.

• What are the layers of the technology stack needed to support agentic trading, and where are firms investing first?
• How are firms using AI application builders and low-code platforms to design, build and deploy trading applications and agents, and where is this delivering the biggest gains in speed to production?
• What controls are needed on AI-generated code before it reaches production, including testing, review and approval, and how are firms deciding what can be shipped with limited human oversight?
• How are technology teams connecting agents to order and execution management platforms and venues using open frameworks such as the Model Context Protocol, and what has worked in practice?
• How can firms set guardrails around what agents can see and do, enable a human to override or stop them quickly, and keep an audit trail that satisfies regulators?
• What are the infrastructure choices behind agentic trading, including compute and inference costs, cloud versus on-premises deployment, and observability of agent behaviour?

Will Winzor Saile, MD Execution Analytics and Architecture, Rothschild & Co

Panel: Architecting high performance infrastructure and smart order routing across fragmented, global venues

This session examines what is new and exciting in the low latency space. We’ll explore the latest innovations, what you need to know that you probably don’t and where to direct time, effort and spend in 2027.

• How do firms evaluate whether to build custom low-latency software in-house or buy off-the-shelf vendor solutions?
• When does specialized hardware like FPGAs deliver real value, and how do you target specific bottlenecks without making the tech stack too complex?
• How do teams accurately measure end-to-end tick-to-trade latency and keep microsecond clock synchronisation across global colocation sites?
• Given data centre power shortages, how are firms balancing physical colocation edge sites against growing cloud adoption?
• How can teams enforce strict pre-trade risk checks across fragmented venues without slowing down deterministic execution times?

Moderator: Sapna Swaly, Independent Consultant, Arb Trading Group; FIX trading Community

Keynote: Available for sponsorship

Panel: Modernising market data – from cost containment to strategic capability

This session looks at how firms are moving beyond managing market data as a cost to be contained and treating it as a strategic capability. It addresses the commercial and technical shifts behind that move and new distribution models for AI-native workflows.

• Beyond traditional cost containment, where is the next wave of strategic market data innovation coming from, particularly in less standardised markets such as fixed income and FX?
• What foundational requirements must be established before market data can be transformed into a strategic enterprise asset?
• How can firms effectively govern entitlements and usage as market data flows downstream into AI tools and analytics platforms?
• How are emerging contributor-based data networks and open protocols reshaping how structured market data is delivered to AI agents?
• How must commercial data contracts evolve to address AI requirements such as model training, inference and derived data rights, from both the vendor and the client perspective?
• How can institutions measure the success of market data transformation initiatives beyond simple vendor cost reductions?

Anna Branch, Head of Strategic Partnerships – TP, Quilter
Amanteer Singh, Market Data SME, Mizuho
Michael Cahill, Founder & CEO, Douro Labs, contributor to Pyth Network

Panel: Sourcing Alpha in fragmented markets

This panel explores how market data innovation, alternative dataset integration and real-time analytics are being used to generate consistent alpha across fragmented global trading venues, and what the data and analytics infrastructure behind that edge looks like in practice.

• How are institutional firms turning high-velocity, multi-asset data feeds into actionable pre-trade analytics and real-time execution signals?
• What structural changes in global market data distribution will deliver the greatest commercial advantage to quantitative trading desks?
• How are firms combining alternative and unstructured datasets with tick and order book data, and where is the quality and integration effort hardest?
• How can firms keep research and production consistent, so that a strategy tested on historical data behaves the same way when it runs on live data?
• How should firms decide between building and buying their time-series data and analytics platform, and how are they managing the cost of storing and querying ever-growing volumes of tick data?
• With the benefit of hindsight, what would panellists do differently if they were rebuilding their data and analytics stack today, particularly with AI in mind?

Keynote: Prediction markets and the future of event driven liquidity

This keynote session examines the rapid emergence of prediction markets, exploring how institutional desks can leverage event-based contracts for hedging, price discovery, and macro risk management.

• How are prediction markets transitioning from niche retail venues into institutional tools for macro hedging and risk management?
• What infrastructure and market data requirements are necessary to integrate event-driven prediction feeds into traditional front-office systems?

Futures Innovation Panel: Evaluating Quantum’s impact on trading tech

This panel delivers a grounded assessment of quantum readiness in capital markets, exploring quantum advantage in hybrid production stacks, post-quantum cryptography, and low-latency security.

• How is the gap narrowing between theoretical quantum research and practical capital markets trading applications?
• Where does quantum computing fit alongside the classical low latency trading stack without adding delay to live execution?
• How should firms prepare now for post-quantum cryptography and the risk of harvest-now, decrypt-later attacks?
• How can infrastructure teams adopt post-quantum encryption standards without degrading microsecond-level execution performance?
• How should technology leaders balance the budget between quantum research and near-term production infrastructure upgrades?
• How can firms weigh cloud latency overhead against the analytical benefits of quantum-assisted data pre-processing?

Dr. Del Rajan, Vice President, Quantum Technologies, HSBC