Kaizen Unveils MAR360 to Tackle Market Abuse Risk with Integrated Surveillance and Training

Kaizen has unveiled MAR360, a new compliance suite aimed at helping financial institutions manage the complex challenge of detecting and preventing market abuse. The release reflects a growing regulatory push to tighten controls and ensure firms can demonstrate robust frameworks to supervisors.

The suite brings together three elements: a market abuse risk assessment tool, trade and communications surveillance technology, and a training programme led by industry experts. The risk assessment module analyses more than 27 distinct risk areas, drawing on past enforcement actions and industry practice. According to Kaizen, the design – supported by AI techniques – is intended to flag vulnerabilities that might otherwise remain hidden.

The surveillance platform and training programme complement the risk framework, offering firms an integrated approach. Training is delivered by subject-matter specialists and former regulators, with ongoing support to help remediate gaps and strengthen operational resilience.

Simon Appleton, Market Abuse & Surveillance Director at Kaizen, said: “Our MAR360 solution moves beyond standard surveillance systems to the proactive management of market abuse risk, supporting the Financial Conduct Authority’s five year strategy to fight financial crime. As global regulators continue to focus on market abuse, firms need to integrate their solutions and controls to demonstrate to regulators how they are taking steps to detect and prevent market abuse incidents happening in the first place.”

By aligning technological tools with regulatory expectations, Kaizen is positioning MAR360 as a resource for institutions looking to evidence control and readiness in an environment where scrutiny of market conduct is steadily increasing.

Social Media-Linked Surveillance by Deutsche Börse, Scila and Stockpulse

Deutsche Börse has expanded its market surveillance capabilities by incorporating social media intelligence into its Scila powered surveillance platform. The move reflects a growing recognition of the role social media plays in market dynamics and the risks it presents for manipulation and misinformation.

The integration, delivered through a collaboration between Scila and German analytics specialist Stockpulse.AI, brings near real-time monitoring of millions of social media posts, alongside data feeds covering more than 70,000 global equities and thousands of cryptocurrencies. The combined system gives Deutsche Börse’s surveillance team a broader perspective, correlating trading activity with social media sentiment and news buzz to identify potential irregularities faster. Andreas Mitschke, Head of Trading Surveillance at Deutsche Börse, noted that “the ability to correlate trading patterns with social media activity provides our team with crucial context for investigating potential market abuse.”

Scila’s chief executive, Mikko Andersson, described the development as “a natural evolution in market oversight,” stressing the importance of combining traditional market data analysis with social intelligence to deliver a fuller picture of risks. The company sees the joint offering as an additional layer of defence for exchanges and regulators seeking to keep pace with the speed of information flows across digital platforms.

For Stockpulse, the collaboration highlights the value of applying artificial intelligence to large-scale, unstructured data. “Our advanced algorithms and AI applications analyse millions of social media posts and news articles in near real-time, providing actionable intelligence that helps surveillance teams identify unusual patterns and potential market manipulation,” said CEO Dr. Stefan Nann.

By adopting this solution, Deutsche Börse becomes the first major exchange to embed social media intelligence directly into its surveillance workflows. The enhancement is intended to improve efficiency, provide earlier detection of suspicious behaviour, and ultimately strengthen market integrity. The same integrated capabilities are now available to other Scila Surveillance clients, with options for tailoring to specific regulatory or operational needs.

TRG Screen Launches AI Assist Feature within PEAR Platform

TRG Screen has launched AI Assist, a new feature for its PEAR (Policies, Explanations, Analytics, Repository) platform. The tool introduces a conversational interface that allows users to ask plain-language questions about exchange licensing requirements and receive immediate, context-aware answers. The information is sourced directly from TRG Screen’s proprietary knowledge base.

Developed in-house and tested with customers, AI Assist is designed to save time and make it easier for market data and compliance professionals to interpret complex and frequently changing exchange policies. The feature provides users with free-form question capabilities, delivering answers in seconds.

This launch is a key step in TRG Screen’s wider artificial intelligence strategy. The company recently appointed Amjad Zoghbi as Head of AI to accelerate its AI development, and this new feature demonstrates how that investment is translating into client value by bringing AI-powered efficiency to market data management.

Canton Network Partners with Chainlink to Accelerate Institutional Blockchain Adoption

The Canton Network, a permissionless blockchain designed for institutional finance, has entered a strategic partnership with oracle platform Chainlink. The collaboration aims to accelerate the adoption of the Canton Network ecosystem by financial institutions. As part of the agreement, the Canton Network will join the Chainlink Scale programme and integrate key services, including Chainlink Data Streams, SmartData, and the Cross-Chain Interoperability Protocol (CCIP). Chainlink Labs will also operate as a Super Validator on the network.

This partnership provides institutions using Canton with access to Chainlink’s established infrastructure, which secures over $100B in assets across the digital economy. Under the Scale programme, the Canton Network will cover certain operating costs for Chainlink oracle nodes, thereby enhancing its own connectivity, resilience, and transparency. The move is designed to support further innovation in tokenised assets, stablecoins, and digital identity solutions on the network, which already supports over $6T in on-chain assets and processes $280bn in daily repos.

Eurex to Launch Quantitative Investment Strategies (QIS) Index Futures

Derivatives Exchange Eurex will launch a new trading segment for Quantitative Investment Strategies (QIS) index futures on 27 October 2025. The initiative is a partnership with Premialab, a specialist provider of QIS data and analytics. This move extends Eurex’s “futurisation” strategy, bringing products that are typically traded over-the-counter (OTC) onto a listed and centrally cleared platform to increase market access and efficiency.

The initial launch will comprise three index futures based on thematic strategies. The underlying indices have been developed by regulated administrators Société Générale and Solactive. Premialab will act as the designated data partner, supplying index levels, performance, and risk analytics to ensure transparency. The new listed products will offer clients cross-margining benefits with other derivatives cleared at Eurex. The exchange plans to expand the product suite based on client demand.

Data Quality Tops List of Fixed-Income Market Challenges

Poor data quality has topped a list of challenges faced by fixed-income market participants in a survey by SIX.

The poll found that almost three-fifths of respondents said that issues such as mismatches in reference data, such as identifiers, or coupon details delaying settlements were the leading hurdles to smooth operations. Data integration was a problem for almost half of respondents and a third cited a lack of data transparency.

DMS USA Awards Winner Alkymi Launches Investment Data Management Tool

Private markets data an technology provider Alkymi has launched Alkymi Alts, an investment data management tool.

Alkymi, which won the Best AI-Based Data Management Capability going at A-Team Group’s Data Management Summit USA Awards this year, said the new service “streamlines complex workflows, automates data extraction and validation, and provides powerful analytics with configurable dashboards, all integrated seamlessly with portfolio management, accounting, and CRM systems”.

SOLVE Expands Fixed Income Platform with New Predictive Pricing and Analytics Capabilities

SOLVE, the pre-trade data and predictive pricing provider for fixed income markets, has introduced several enhancements to its platform aimed at giving market participants a more unified and actionable view of securities. The updates include new modules for capital structure analysis, enhancements to municipal bond pricing tools, and expanded business development company (BDC) analytics.

Among the new features, the Capital Structure for Workstation module offers an integrated view of bonds and loans across asset classes, with advanced search, portfolio upload, and interactive filtering options. The firm has also launched the AI-powered SOLVE Confidence Score for municipal bonds. Additionally, SOLVE now incorporates analysis from BDC sector expert Nicholas Marshi, providing investors with deeper insights into valuations and portfolio companies.

SOLVE processes around 2 billion data points daily across 1.5 million securities, with predictive pricing now available for more than 200,000 corporate bonds.

Bloomberg Adds AI Portfolio Commentary to PORT Enterprise for Enhanced Investment Analysis

Bloomberg has introduced AI Portfolio Commentary, a new feature within its PORT Enterprise platform, designed to provide automated explanations of portfolio return drivers. By combining attribution data with media coverage from sources such as Bloomberg News, the tool generates contextualised portfolio summaries, helping investment teams streamline reporting and focus on strategic decision-making across both fixed income and equity portfolios.

The update expands PORT Enterprise’s capabilities by delivering granular insights into allocation and selection decisions, supported by Bloomberg’s company-level data and risk models.

AI Portfolio Commentary aligns with Bloomberg’s wider initiative to integrate AI tools into its investment management solutions, including RMS Enterprise and the Bloomberg Terminal.

LSEG and Databricks Partner to Deliver AI-Ready Financial Data via Delta Sharing

The London Stock Exchange Group (LSEG) and Databricks have formed a strategic partnership to make LSEG’s financial data available natively in Databricks through Delta Sharing. The collaboration will initially provide access to Lipper Fund Data & Analytics and Cross Asset Analytics, with additional datasets including Pricing, Reference Data, Starmine models, Fundamentals, Estimates, Economics and Tick History to follow. These datasets will be accessible via the Databricks Marketplace, enabling seamless integration and discovery.

By combining LSEG’s financial data with Databricks’ AI and analytics platform, the partnership aims to transform how financial services teams build and deploy AI agents. Through Databricks’ Agent Bricks, institutions can integrate market data with enterprise datasets to create AI-powered solutions for investment analytics, risk management, trading, forecasting and compliance reporting. The approach allows teams to replace manual, batch-based processes with real-time, automated insights, accelerating decision-making and maintaining competitiveness in dynamic markets.