TradingTech Insight Trading Infrastructure & Cloud The latest content from across the platform
What the 2026 TradingTech Insight Awards USA Reveal About the Direction of the Trading Stack
The trading stack that North American capital markets ran on five years ago is not the one they run on now. Front-office systems that once stood alone are being asked to talk to one another. Data that was once simply delivered is now expected to drive decisions. And the question vendors hear from buy-side and…
Guide to Prediction Market Technology: Building the Next Generation of Event-Based Exchanges
Following the momentum and buzz surrounding prediction markets during the 2024 US elections, event-based trading has rapidly emerged as one of the most dynamic growth areas in capital markets. What was once considered a niche segment has evolved into a global opportunity, attracting established exchanges, everyday participants, fintech innovators, and entrepreneurs seeking to launch new…
The Industry Keeps Talking About 24/5 Trading, But Does It Actually Want It?
A panel convened to discuss the engineering of always-on markets spent most of its time on a more basic question: does anyone actually want them? The appetite for round-the-clock equity trading, it turned out, is far harder to find than the conversation about it would suggest. The session at A-Team Group’s ExchangeTech Summit London, entitled…
Is Speed Still the Point of a Low Latency Stack?
Latency has been on the capital markets agenda for more than two decades, and for most of that history the proposition was simple: go faster, win more. A panel at A-Team Group’s recent ExchangeTech Summit London, titled “Building the Ultimate Low Latency Highway: Execution Gateways, Order Routing and Ensuring Near Zero Jitter and Determinism”, spent…
Why the Buy Side’s Real Agility Problem is its Operating Model
Most buy-side firms know how to find an opportunity. What an increasing number are discovering is that the gap between identifying one and acting on it has become a structural weakness. And that the weakness sits not in the front office but in the operating model underneath it. That was the recurring argument of a…
Is the Matching Engine Still the Heart of the Exchange?
A panel at the A-Team Group’s recent ExchangeTech Summit London, titled Setting the matching engine at the heart of the exchange tech ecosystem – Next gen architecture, microservices and cloud migration strategies, positioned the matching engine as the centre of gravity in modern venue architecture. The discussion that followed steadily pulled that centre of gravity…
Avelacom Launches Low-Latency Connectivity Route Between Bangkok and Tokyo
Avelacom, the ultra-low latency connectivity and infrastructure provider, has launched a direct network route between Bangkok and Tokyo. By optimizing the terrestrial fibre segment, the company has established a more direct path between Thailand and Japan, achieving a round-trip delay (RTD) of less than 65 milliseconds. The new route specifically supports low-latency connectivity between the…
Build, Buy, or Both? Why the Real Question for Quant Infrastructure Has Shifted to Where the Edge Sits
The questions have become perennial: build versus buy, cloud versus on-premise, in-house versus managed platform. But the discussion that emerged from a recent A-Team Group webinar on quantitative research infrastructure pointed to something more interesting than a binary choice. The build-versus-buy question, panellists agreed, has matured into a more sophisticated conversation about where firms locate…
Recorded Webinar: Agility as Alpha: How Trading Infrastructure Determines Who Wins in Volatile Markets
Tariff shocks, geopolitical realignment and macroeconomic regime shifts are redrawing the investment landscape faster than most firms’ technology stacks can keep up. For hedge funds and asset managers, the ability to move quickly into new asset classes, geographies or strategies is no longer just an operational concern – it is a front-office differentiator and, increasingly,…
Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research
For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the…