TradingTech Insight Blogs The latest content from across the platform
The Surveillance Challenge Behind an Increasingly Continuous Market
The shift towards 24/5 equities trading and the rapid growth of prediction markets are presenting new challenges for trade surveillance. With trading activity increasingly spanning multiple venues, instruments and time zones, identifying potential market abuse is becoming more complex, particularly where suspicious behaviour crosses traditional market boundaries. For surveillance technology providers, however, these developments don’t…
As AI Agents Enter Financial Workflows, Do Information Barriers Need to Follow?
The widely reported accidental disclosure of sensitive information at Morgan Stanley last month has brought data loss prevention (DLP) back into focus. The incident, in which an email reportedly exposed details of more than 100 investment banking deals, illustrates the risks that remain despite years of investment in communications monitoring and information barriers. The incident…
Financial Firms Confront the Next Phase of AI-Driven Compliance
Artificial intelligence is moving rapidly from experimentation into day-to-day compliance operations at financial institutions, changing not only how firms monitor communications and investigate potential breaches, but also the governance, data and skills they need to support those processes. That shift was evident during a private executive roundtable hosted by compliance recording specialist Luware at A-Team…
Where Should Trading Firms Spend Their Latency Budget?
The pursuit of lower latency in electronic trading hasn’t disappeared, but the engineering decisions behind it are becoming more selective. Rather than trying to make every component of the trading stack as fast as possible, firms need to determine where microseconds genuinely affect trading outcomes, where predictable performance matters more than absolute speed, and where…
Nasdaq Calypso Builds Agentic Layer for the Shift to Always-On Markets
Nasdaq is extending its Calypso capital markets solution beyond its traditional role as a system of record, adding an agentic AI layer designed to support increasingly automated workflows across trading, risk, clearing and collateral management while retaining the deterministic processing at the core of the platform. The move follows the launch of an agentic AI…
Duco Maps a Path Towards Agentic Post-Trade Operations
Duco is extending agentic AI deeper into post-trade operations following production trials in which 12 financial institutions recorded an average 76% reduction in time spent on manual reconciliation work. The participants in Duco’s Pacesetters programme, which include BBVA, Blackstone Credit & Insurance and CIBC Mellon, reported reductions of more than 91% in the time required…
Buy vs. Build Now Has Two Answers in Investment Operations
By Pat Conroy, Head of Strategy, Product & Innovation, STP Investment Services. An operations leader at a mid-market investment manager is sitting across from a vendor demo. The pitch is compelling, but in the back of their mind, one question keeps surfacing: should we just build this ourselves? A year later, that same firm is…
Bloomberg Enterprise MCP Brings Market Data into the Agentic AI Workflow
Bloomberg has launched an enterprise AI access layer for its Data License Plus (DL+) offering, giving clients’ AI agents a standardised way to discover, interpret and retrieve licensed Bloomberg data across more than 100 million securities and over 50,000 fields. Bloomberg Enterprise Model Context Protocol (MCP) combines the data with metadata, semantic context and entity…
Trading Technologies Expands Multi-Asset Push with TRAFiX Acquisition
Trading Technologies (TT) has acquired equities and equity options technology provider TRAFiX, filling a significant gap in its expanding multi-asset platform and setting out a roughly 12-month path towards integrating the two firms’ trading technology. The deal extends TT’s coverage into global equities and equity options through TRAFiX’s order and execution management systems (OEMS), FIX…
BMLL and Simudyne Bring Reactive AI Simulation to Trading and Market Structure
BMLL and Simudyne have partnered to combine granular historical order book data with generative AI and agent-based simulation, creating simulated markets that can respond dynamically to trading activity rather than simply replaying historical events. The collaboration brings BMLL’s harmonised Level 2 and Level 3 historical data into Simudyne’s Pulse intraday market simulator. Simudyne is using…