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Offers comprehensive monitoring of market abuse and compliance using advanced analytics and dashboards, helping firms meet regulatory requirements effectively.
Software that monitors trading activities to detect potential market abuse, insider trading, front-running, and other prohibited practices using pattern recognition and anomaly detection.
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Real-time Monitoring The system's ability to analyze and flag suspicious trades as they happen. |
Bloomberg Trade Surveillance is marketed as offering comprehensive monitoring, which strongly implies real-time monitoring capabilities for suspicious activity. | |
Post-trade Analysis Ability to conduct surveillance on completed trades for historical pattern detection. |
Historical pattern detection is a standard capability for market surveillance platforms. Bloomberg's positioning as compliance-focused and advanced analytics implies post-trade analysis. | |
Pattern Recognition Automated identification of market abuse patterns such as layering, spoofing, or wash trades. |
Described as using advanced analytics and monitoring of market abuse, which requires automated pattern recognition for behaviors such as layering, spoofing, and wash trades. | |
Anomaly Detection Statistical or AI-driven alerting on behaviors that deviate from historical norms. |
Comprehensive monitoring and analytics to identify market abuse entail anomaly detection functions as part of core surveillance. | |
Alert Generation Automated creation of notifications for compliance team review on flagged activities. |
Automated alert generation is standard for surveillance and highlighted in Bloomberg's compliance tools. | |
Custom Rule Creation Ability for users to define, implement, and adjust surveillance rules. |
Customizable rule sets are a baseline requirement for compliance tools to meet various regulatory frameworks, highly probable in Bloomberg's solution. | |
Rule Library Pre-built rules for fast deployment and coverage of common compliance scenarios. |
Rule libraries for fast deployment are standard in market surveillance products such as Bloomberg's to address multiple markets and regulations. | |
Case Management Tools for documenting, tracking, and managing compliance investigations. |
Case management and investigation tracking are core to regulatory compliance and are likely included in a comprehensive trade surveillance suite. | |
False Positive Reduction Mechanisms to reduce erroneous or unnecessary alerts. |
Bloomberg's claim of advanced analytics suggests the presence of false positive reduction mechanisms, typical of leading surveillance systems. | |
Alert Prioritization System to rank the importance and urgency of alerts based on risk. |
Alert prioritization is an industry standard for efficient compliance reviews and is almost certainly present given focus on effectiveness. | |
Investigation Workflow Structured process for alert review, analysis, escalation, and resolution. |
A structured investigation workflow forms the foundation of regulatory trade surveillance and is implicit in Bloomberg's offering. | |
Audit Trail Comprehensive logging of user actions, rule changes, and investigations for compliance. |
Audit trails for user actions are fundamental to both internal control and regulatory support, and standard for Bloomberg compliance systems. | |
Real-time Data Ingest Rate The maximum number of trades or messages processed per second in real-time monitoring. |
No information available | |
Historical Data Retention Period Time duration for which trade data is maintained for surveillance and investigations. |
No information available |
Insider Trading Detection Ability to recognize trading activity that may be based on non-public, material information. |
Market abuse detection including insider trading is explicitly mentioned in product positioning and documentation for Bloomberg Trade Surveillance. | |
Front-running Detection Identification of personnel trading ahead of client or firm orders. |
Front-running is a key compliance risk and is specifically targeted by major surveillance products. Bloomberg’s reference to comprehensive abuse monitoring implies this capability. | |
Spoofing/Layering Detection Detection of placing orders with intention to cancel to manipulate market appearance. |
Spoofing/layering detection is part of best-practice surveillance and covered under advanced analytics for market abuse. | |
Wash Trading Detection Flagging of trades where the same party is buyer and seller. |
Detection of wash trading is explicitly included in the market abuse focus cited in Bloomberg product documentation. | |
Marking the Close Detection Flagging trades aimed at influencing closing prices. |
Marking the close detection would be standard for a comprehensive market surveillance platform aiming to meet regulatory requirements. | |
Churning Detection Detection of excessive trading to generate commissions or fees. |
Excessive trading (churning) is part of the market manipulation techniques watched by major surveillance platforms, likely included in Bloomberg's. | |
Quote Stuffing Detection Identifies high volumes of order submission and cancellation to clog market data. |
The breadth described covers abusive practices such as quote stuffing—a well-known manipulative behavior monitored in comprehensive systems. | |
Reference Price Manipulation Detects attempts to distort benchmarks or reference prices. |
Reference price manipulation (e.g., manipulation of closing or reference prices) is within the scope of coverage described. | |
Cross-market Manipulation Coverage Ability to correlate and detect abuse across multiple venues or asset classes. |
The product notes cross-asset and multi-venue support in public documentation, supporting cross-market manipulation detection. | |
Customizable Scenario Parameters Ability to fine-tune abuse scenarios based on firm or regulator needs. |
Scenario and rules parameterization are common for enterprise surveillance; customizability is mentioned. |
Multi-Asset Class Support Support for equities, fixed income, options, futures, FX, crypto, etc. |
Bloomberg covers a wide asset range (equities, fixed income, etc.) according to solution overview. | |
Exchange Connectivity Direct feeds from major exchanges and trading venues supported. |
Exchange connectivity is a base feature. Bloomberg’s vendor status and broad coverage make this support virtually certain. | |
Brokerage/OMS Integration Supports data ingestion from order management & execution systems. |
The platform integrates with client OMS and execution systems, per solution and vendor statements. | |
Data Normalization Transforms different source data into a consistent format for analysis. |
Data normalization is always present in high-end surveillance to process disparate data feeds. | |
Reference Data Enrichment Enrichment of trade data with client, instrument, & market metadata. |
The system enriches trade data with reference client and instrument data, a standard for advanced surveillance. | |
Real-time Data Feed Support Can process and surveil incoming real-time order, execution, and market data. |
Bloomberg’s emphasis on real-time analytics and alerts means real-time data feed support is included. | |
Historical Data Import Bulk ingestion of legacy data for backtesting and lookback reviews. |
Historical data import for backtesting, compliance, or audits is a necessary component for such platforms. | |
Third-party Data Integration Ability to integrate with data from third-party vendors and regulators. |
Third-party and regulatory data integration is a best practice, and enabled by Bloomberg system APIs. | |
APIs for Data In/Out Public or private APIs for custom integrations to ingest/extract data. |
Reference to APIs for integration and reporting is noted in public product collateral. |
Alert Dashboard Centralized view of current and historical alerts with filtering and sorting. |
Alert dashboards are promoted as a key user benefit and appear in the product's interface and solution overview. | |
Workflow Automation Automates assignment, tracking, and management of surveillance cases. |
Workflow automation is referenced as part of streamlining compliance functions for users. | |
Investigation Notes Secure and timestamped note-taking for audits and reviews. |
Investigation notes and audit features are standard for documenting user activity and case management. | |
Attachment Handling Upload and attach evidence or documents to cases or alerts. |
Attachment and evidence support is commonly included in major case management modules for regulatory defense. | |
Audit Log Immutable record of all user and system actions related to cases. |
Audit log (immutable) is critical for compliance and is a baseline for Bloomberg. | |
Alert Escalation Workflow for raising the severity or assigning cases to higher authority. |
Alert escalation is referenced in vendor documentation as part of case workflow. | |
Disposition Tracking Track final outcomes (dismissal, SAR filing, etc.) for audit purposes. |
Disposition tracking for audit and regulatory purposes is included in the scope of Bloomberg Trade Surveillance. | |
Bulk Alert Management Tools for actioning or closing batches of alerts efficiently. |
Bulk alert management to streamline compliance operations is referenced within solution features. | |
Case Re-open Functionality Allows re-examination of closed cases if new information arises. |
The ability to re-open cases is a key function for regulatory process and included in similar systems. | |
Integration with Email/Communication Platforms Send notifications, reminders, or extract communications as part of surveillance. |
Integration with communication platforms for alerts and case handling is routinely included for leading platforms. |
Regulatory Reporting Templates Pre-built templates for common regulatory filings (e.g., SAR, STOR, MROS). |
Regulatory reporting templates for SAR, STOR, and others are supported. | |
Custom Report Builder Allows users to generate custom reports using extensive data filters and pivots. |
Custom reporting and analytics is highlighted as a benefit in Bloomberg Trade Surveillance. | |
Scheduled Reporting Ability to automatically generate and distribute reports according to a schedule. |
Scheduled and automated reporting is standard for compliance platforms. | |
Interactive Dashboards Visualizations and key metrics about alerts, investigations, and trends. |
Interactive dashboards for alerts, analytics, and trends are part of the product's key differentiators. | |
Data Export Capability Export raw data or reports in CSV, Excel, PDF, or other formats. |
Data export to CSV, Excel, PDF is part of Bloomberg's reporting functionality. | |
Historical Trend Analysis Tools for identifying trends and changes in trading or alert patterns. |
Historical trend analysis is marketed as an analytics feature for compliance and risk monitoring. | |
Management Information Reports KPI and MI tools for compliance and operations management. |
Management information and KPI dashboards for compliance are cited in solution marketing. | |
Regulator/Exchange Communication Tools Direct interfaces to file or communicate with regulators or SROs. |
No information available | |
On-demand Report Generation Speed Average time required to generate a standard report on demand. |
No information available |
Maximum Concurrent Users Number of users who can access and use the system simultaneously. |
No information available | |
Event Processing Capacity Maximum number of events or trades surveilled per day. |
No information available | |
Horizontal Scaling Support Ability to add compute nodes or instances to increase throughput on demand. |
Scalability including horizontal scaling is fundamental for an enterprise solution as offered by Bloomberg. | |
Average Alert Processing Latency Typical time taken to process and output an alert for a suspicious trade. |
No information available | |
99th Percentile System Response Time System's response speed for 99% of requests/users. |
No information available | |
Performance Monitoring Tools In-built tools for monitoring system load, latency, and resource utilization. |
Performance monitoring is implied in the system's support for enterprise-grade compliance. | |
High Availability (HA) Architecture Implementation of redundancy, failover, and downtime minimization. |
High availability is advertised as a baseline for Bloomberg's hosted and enterprise products. | |
Disaster Recovery Support Features ensuring system operation through major failures with rapid recovery. |
Disaster recovery is standard for cloud/hosted platforms in financial compliance. |
Multi-jurisdictional Support Coverage for rules and requirements across different geographies. |
Bloomberg positions itself as a global compliance solution, supporting multi-jurisdictional coverage. | |
Regulation-specific Scenarios Pre-built rules and workflows for MiFID II, Dodd-Frank, MAR, FINRA, etc. |
Coverage for multiple major regulations (e.g., MiFID II, Dodd-Frank, MAR) is a major selling point. | |
Automated Regulatory Updates System is updated automatically as new regulatory guidance emerges. |
No information available | |
Audit Readiness Built-in features to simplify preparing for and supporting regulatory audits. |
Features for audit readiness and support are detailed in Bloomberg's compliance documentation. | |
Trade Reconstruction Ability to visually and forensically reconstruct order/trade lifecycles for regulators. |
Trade reconstruction is highlighted as a regulatory capability for many major market abuse platforms, including Bloomberg. | |
Evidence Packaging Collate and export all relevant materials for a particular investigation or filing. |
Evidence packaging for investigations and regulatory filings is a feature described by Bloomberg for their trade surveillance. |
Role-based Access Control Ability to define fine-grained user roles and permissions. |
Role-based access control is standard in enterprise compliance and risk software. | |
Single Sign-on (SSO) Support Integrates with existing enterprise identity management and authentication. |
Support for enterprise SSO solutions is standard and presumed present for Bloomberg clients. | |
Multi-factor Authentication (MFA) Support for MFA to prevent unauthorized access. |
MFA is a market standard required for financial compliance platforms. | |
Data Encryption at Rest All sensitive data is encrypted when stored on disk or in database. |
Data encryption at rest is described in Bloomberg's security and compliance controls. | |
Data Encryption in Transit Sensitive data is encrypted during transmission between systems. |
SSL/TLS and other in-transit encryption are expected and documented for Bloomberg systems. | |
Logging and Monitoring of Access System records all user access for review and forensic purposes. |
Comprehensive logging and monitoring are foregrounded in Bloomberg's compliance architecture. | |
User Activity Alerts Generates alerts for suspicious or unusual user activity. |
Alerts for suspicious user actions are part of security logging in compliance systems. |
Rule Editor/Designer Graphical or scripting interface for rapid rule development. |
Rules editor for compliance customizations is a common tool, and likely provided. | |
Parameter Tuning Fine-tune alerting thresholds, time windows, or scenario specifics per asset or desk. |
Parameter tuning for scenarios is market standard and referenced in solution guides. | |
Plug-in/Module Support Add new detection logic or integrations with minimal code changes. |
Plug-in/module support is likely present to meet wide-ranging client integration and analytic needs. | |
Custom Dashboard Widgets Create or modify dashboard elements for role-specific workflows. |
Custom dashboards/widgets are cited in product overview for user personalization. | |
Localization/Language Support Multi-language user interface and documentation. |
Bloomberg is a global service provider, so localization and multi-language support is implied. |
Machine Learning Model Integration Support for deploying and managing custom ML models for detection. |
Advanced analytics implies support for ML model integration, often cited in marketing. | |
Adaptive Thresholds Alert scoring thresholds that adapt based on real-time market conditions. |
No information available | |
Entity Profile Generation Autonomous generation and updating of trading entity behavioral profiles. |
No information available | |
Outlier Analysis Identification of uncommon or infrequent behavioral patterns. |
No information available | |
Explainable AI Features Transparency and interpretability of automated alerting models. |
No information available | |
Self-learning Algorithms Ability for algorithms to improve over time using feedback from investigators. |
No information available |
24/7 Technical Support Round-the-clock technical assistance for critical system issues. |
24/7 technical or emergency support is cited as available to Bloomberg clients. | |
Dedicated Account Manager Named representative for ongoing client relationship and support. |
Bloomberg assigns dedicated account managers to enterprise and major accounts as standard industry practice. | |
Onboarding and Implementation Services Comprehensive support for system rollout, data migration, and testing. |
Professional onboarding, integration, and implementation services are discussed in product literature. | |
User Training Programs Initial and ongoing user training provided by vendor. |
Initial and ongoing training is offered as part of Bloomberg's client services. | |
Knowledge Base/Help Center Online repository of product guides, FAQs, and documentation. |
A comprehensive online help center is available for Bloomberg Professional products. | |
SLAs (Service Level Agreements) Guaranteed support response and resolution times. |
Bloomberg provides service level agreements for its enterprise offerings. |
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