BridgeWise Utilises X Data in New Wealth-Focused Sentiment Analysis Tool

Wealth management financial technology specialist BridgeWise has collaborated with X to integrate data from the social media platform into its intelligence engine to provide social sentiment analysis for thousands of securities.

The system utilises an API-driven connector and a proprietary framework to convert unstructured data into structured signals for financial institutions. The resultant SentimentWise is a solution intended to allow users to monitor shifts in investor mood and identify trends through the analysis of both fundamental and alternative data. The offering builds on BridgeWise’s acquisition of Context Analytics.

BridgeWise co-founder and chief executive Gaby Diamant said the arrangement turns global conversations into a quantifiable tool to assist investors with decision-making.

“Markets move on more than just numbers; they move on what people are saying, thinking, and feeling in the moment,” Diamant said. “By plugging X’s data stream into our engine alongside our deep fundamental and technical analysis, we’re helping our clients cut through the noise to see what actually matters.”

Sentiment analysis uses algorithms to evaluate public opinion and social media activity to gauge potential market movements.

Fitch Builds Fitch Nexus MCP Connector to Ratings Data

Fitch Solutions has launched a Model Context Protocol (MCP) connector, Fitch Nexus, that enables clients to access Fitch Ratings content through internal AI applications and large language models.

The connector provides credit research, historical ratings data and financial forecasts through a single integration.

“Fitch Nexus is designed to deliver faster, more actionable insights with greater efficiency and immediacy,” said Fitch Solutions chief commercial officer Christopher Sparke. “It reduces the distance between question and answer, enabling our clients to access the signals, commentary, and data they need to inform investment and risk management decisions.”

Future updates will include additional capabilities from CreditSights, BMI, and Sustainable Fitch to expand the available dataset. MCP is an open standard that enables AI assistants to connect with data sources and tools across different platforms.

Trading Technologies Expands TT FX Platform to Include Forwards and Swaps

Trading Technologies International, Inc. (TT) has announced a significant expansion of its TT FX platform, broadening its product coverage for institutional foreign exchange and precious metals traders. While previously focused on spot FX, the platform now supports forwards, NDFs, and swaps. This update integrates liquidity from a wider range of bank and non-bank providers, supplementing existing connections to primary FX venues and electronic communication networks.

The enhanced offering allows clients to manage OTC and exchange-traded instruments through a single EMS. Key technical features include the integration of bank algorithms, low-latency execution via co-located servers, and the Autospreader tool for simultaneous multi-asset hedging. Additionally, the platform introduces dedicated FX liquidity ladders and a unified post-trade workflow, which provides a streamlined data feed to prime brokers and risk management systems. This expansion aims to provide a deeper liquidity pool and more efficient multi-asset execution within a unified interface.

SIX Receives FINMA Approval to Integrate Digital Asset Services and Launch Crypto Custody

The Swiss financial infrastructure provider, SIX, has secured approval from the Swiss Financial Market Supervisory Authority (FINMA) to merge its digital central securities depository, SIX Digital Exchange AG, into SIX SIS AG. This strategic consolidation integrates digital and traditional asset services into a single legal entity, establishing a unified foundation for post-trade services across diverse asset classes.

In addition to the merger, SIX has been authorised to provide crypto custody services through its licensed Central Securities Depository. This development represents another step in the evolution of regulated institutional market infrastructure, allowing financial institutions to manage crypto assets within the same framework used for traditional securities.

By connecting traditional and digital assets through a single, scalable post-trade environment, SIX aims to reduce systemic complexity and streamline the management of digital holdings for market participants.

TRG Screen Launches Contracts AI to Automate Market Data Agreement Analysis

TRG Screen has introduced Contracts AI, a new feature within its Optimize Spend platform designed to streamline the management of market data contracts. This AI-powered tool enables financial institutions to automatically extract and interpret complex usage rights, restrictions, and obligations from legal documents. By converting static contracts into structured, operational data, firms can now ingest critical information into their management systems in minutes rather than the hours or days previously required for manual analysis.

The solution addresses an industry bottleneck where a single vendor contract can take up to six hours for a specialist team to review. Contracts AI identifies key terms and provides full traceability to the original source clauses, ensuring that answers to compliance and renewal questions are auditable. This automation aims to reduce the administrative burden on legal, procurement, and compliance departments while minimising the risk of data misuse or missed obligations.

Comply Sets Out MCP Layer for Agentic Compliance Workflows

Comply has announced general availability in May 2026 for its  ComplyAI MCP Server, an enterprise-grade Model Context Protocol server designed to connect the firm’s compliance intelligence with major AI platforms used by financial services teams. The server is intended to let authorised compliance, advisor and operations users build custom AI agents in tools such as Claude, Microsoft Copilot and ChatGPT without developer support or separate IT projects.

Initial use cases include trade pre-clearance, policy guidance, morning compliance briefings, certification and onboarding workflows, annual review preparation, and natural-language reporting. So, a compliance officer could ask an AI tool to surface open certifications, open pre-clearance requests, certification gaps, and regulatory alerts, or support a pre-clearance request while maintaining the relevant compliance record.

The first enabled use case will be trade pre-clearance, where a fund manager or other financial services user can instruct an AI orchestrator to submit a request and receive an approval or denial, with audit logs retained in the Comply platform. Policy guidance through ComplyAI Policy Guide is available for testing and is expected to be available through the MCP Server in mid-2026.

Comply is framing the infrastructure layer as central to the reliability of agentic compliance. The company says its data foundation maintains regulatory content, firm-specific policies, supervisory procedures and employee compliance data for environments including the SEC, FINRA and FCA. Client data is stored, processed and audited within the Comply platform and is not shared with other firms.

Michael Stanton, CEO of Comply, linked the launch to the sequencing of data infrastructure and AI access: “We built the compliance data infrastructure before we built the AI.” David Bliss, Chief Product Officer, added: “You cannot get there by starting with AI. You have to earn it.”

UAE Central Bank Taps Norbloc for Nationwide e-KYC Platform

The Central Bank of the UAE (CBUAE) is developing a nationwide electronic Know Your Customer (e-KYC) platform with Norbloc AB, creating a unified national approach intended to reduce duplicated ‘customer due diligence’ across the country’s financial sector. The initiative forms part of the CBUAE’s Financial Infrastructure Transformation (FIT) Programme and is designed to support more efficient onboarding for individuals and businesses while strengthening Know Your Customer and Know Your Business controls.

The platform will use automated workflows, trusted data sources and privacy-by-design technology to support customer due diligence, anti-money laundering and combatting the financing of terrorism (AML/CFT). It will enable secure data sharing based on explicit customer consent, with the aim of reducing turnaround times, operational costs and repeated checks across financial institutions and fintech companies.

For regulated firms, the project points to a more shared model for identity verification and compliance data, where trusted customer information can be reused with explicit consent rather than repeatedly collected across institutions. Future phases will focus on expanding the platform’s capabilities and deepening integration with relevant stakeholders.

H.E. Saif Humaid Al Dhaheri, Assistant Governor for Banking Operations and Support Services at the CBUAE, framed the project as a shift away from resource-heavy onboarding and compliance processes. “The development of the e-KYC Platform represents a strategic transformation towards a more efficient and resilient financial ecosystem. Through this platform, we are enabling the sector to move away from resource-intensive traditional processes towards progressive digital models that accelerate access to financial services and reduce operational costs. At the CBUAE, we aim to enhance efficiency and establish a financial environment characterised by transparency and the protection of customer privacy, in a way that reinforces the UAE’s competitiveness as a leading global financial centre.”

Norbloc will act as technology partner for the platform. Astyanax Kanakakis, Chief Executive Officer of Norbloc AB, said: “We are proud to partner with the Central Bank of the UAE in delivering this platform, which sets a new benchmark in digital compliance globally. By leveraging advanced technologies, we will enable financial institutions to access trusted and secure data in real time from multiple sources, enhancing operational efficiency while adhering to the highest international standards. It also empowers users with full control over the management of access to their data.”

DTCC and SSImple Collaborate to Automate Standing Settlement Instructions

The Depository Trust & Clearing Corporation (DTCC) has partnered with SSImple to streamline the submission of Standing Settlement Instructions (SSIs) into the ALERT database. By integrating SSImple’s SSI Comply product with ALERT, custodians can now automate the delivery of validated and accurate SSI data. This move aligns with the Financial Markets Standards Board (FMSB) Core Principle 1, which advocates for SSI automation to mitigate settlement risks.

The collaboration aims to eliminate manual data workarounds, which are a primary cause of trade failures. SSImple’s solution acts as a central, validated source for custodians, ensuring that information is clean and complete before it reaches the global ALERT database. This standardisation is particularly vital as the industry prepares for the transition to a T+1 settlement cycle in Europe, where compressed timeframes demand higher operational precision.

By automating these flows by the end of 2026, the partnership seeks to create a more resilient post-trade infrastructure. This scalable foundation reduces the likelihood of errors and provides market participants with the necessary tools to navigate tightening regulatory requirements and shorter settlement windows with increased confidence.

Validus Risk Management Integrates Real-Time Liquidity-at-Risk Analytics into TradeView

Validus Risk Management has announced the integration of Liquidity-at-Risk (LaR) analytics into TradeView, a core component of its Horizon platform. This update provides private fund managers with real-time visibility into potential liquidity requirements, enhancing the firm’s existing technology suite. While LaR analytics were previously available on an end-of-day basis via the RiskView module, this integration brings live-feed pricing and up-to-date insights directly into the trading workflow.

The enhancement allows fund managers to assess worst-case liquidity scenarios and the impact of specific hedging transactions closer to the point of execution. By accessing these insights in real time, clients can better evaluate counterparty options and optimise trade execution to ensure they meet capital requirements during market stress. These LaR values are frequently used by managers in investor presentations to demonstrate robust risk management and fund stability.

The new functionality is powered by Validus’ proprietary quantitative engine, which has been developed in-house over the last decade. By using a single underlying framework for scenario analysis, pricing, and liquidity assessments, the platform ensures technical consistency across advisory, trading, and financing operations. This streamlined approach provides private capital firms with a more accurate and integrated method for managing complex financial risks.

Taskize and TCS Integrate Exception Management Into TCS BaNCS Platform

Taskize, the Euroclear-owned investment operations collaboration platform, has partnered with Tata Consultancy Services (TCS) to embed its collaboration and exception management functionality into the TCS BaNCS platform. This integration allows financial services users to raise, resolve, and track queries related to the trade lifecycle – such as corporate actions and settlement breaks – without leaving their core processing environment. By eliminating the need to switch between disparate interfaces and legacy communication tools, the partnership aims to improve operational efficiency for global custodian banks.

The integration automatically captures and includes contextual data, including ISINs and transaction amounts, within Taskize’s secure and auditable communication channels. Following successful joint proofs of concept, the live system is designed to reduce manual intervention and enhance real-time collaboration between counterparties. Ultimately, this streamlined workflow minimises the risk of data inaccuracies and ensures a more seamless exchange of information across the investment operations landscape.