Intelligent MiFID Transaction Reporting Compliance for Precise Trade Reporting

MiFIR Transaction Reporting Under Article 26: 65 Fields Reported to National Competent Authorities

MiFID Transaction Reporting forms the backbone of transparent financial markets and ensures comprehensive trade monitoring through precise data capture and regulatory reporting.

  • 01AI-optimized trade reporting automation with real-time data validation
  • 02Automated data quality assurance for error-free trade reporting
  • 03Intelligent regulatory reporting and compliance monitoring
  • 04Machine learning transaction monitoring and anomaly detection
View services
11+Years of experience
120+Employees
540+Projects
ISO 27001certified

MiFIR Transaction Reporting Under Article 26 at a Glance

Under Article 26 MiFIR, investment firms must report executed transactions in reportable financial instruments completely and accurately by the end of the following working day (T+1) to their national competent authority — in practice usually via an Approved Reporting Mechanism (ARM). Each report comprises up to 65 data fields: from LEI identification of the parties involved and the flagging of decision-makers and executing persons to instrument data that must be reconciled against ESMA's FIRDS reference database.

6 service modules

What we take on for you

Bookable individually or as an end-to-end programme.

01

AI-Based Trade Data Capture and Automated Data Validation

We use advanced AI algorithms to optimize trade data capture and develop automated systems for precise data validation and real-time quality assurance.

  • Machine learning trade data capture and structuring
  • AI-supported identification of trade data anomalies and quality issues
  • Automated data validation for all transaction reporting fields
  • Intelligent simulation of various trading scenarios and data structures
02

Intelligent Data Quality Assurance and Error Management

Our AI platforms develop highly precise data quality systems with automated error detection and continuous data quality monitoring.

  • Machine learning-optimized data quality analysis and assessment
  • AI-supported error detection and automated correction suggestions
  • Intelligent data quality classification and priority assessment
  • Adaptive quality monitoring with continuous performance assessment
03

AI-supported Regulatory Reporting and Compliance Automation

We implement intelligent regulatory reporting systems with machine learning compliance monitoring for maximum reporting quality.

  • Automated regulatory reporting and monitoring
  • Machine learning compliance quality optimization
  • AI-optimized reporting format selection for best possible compliance
  • Intelligent reporting forecasting with regulatory change integration
04

Machine learning Transaction Monitoring and Real-Time Surveillance

We develop intelligent systems for continuous transaction monitoring with predictive surveillance measures and automatic anomaly detection.

  • AI-supported real-time transaction monitoring and analysis
  • Machine learning anomaly detection and pattern recognition
  • Intelligent trend analysis and transaction forecasting models
  • AI-optimized surveillance measure recommendations and compliance monitoring
05

Fully Automated Cross-Border Reporting and Multi-Jurisdictional Compliance

Our AI platforms automate cross-border reporting with intelligent multi-jurisdictional compliance optimization and predictive regulatory harmonization.

  • Fully automated cross-border transaction reporting according to regulatory standards
  • Machine learning-powered multi-jurisdictional compliance optimization
  • Intelligent integration of various reporting regimes and standards
  • AI-optimized jurisdictional mapping and regulatory harmonization
06

AI-supported Transaction Reporting Management and Continuous Optimization

We accompany you in the intelligent transformation of your MiFID Transaction Reporting compliance and the development of sustainable AI trade reporting capabilities.

  • AI-optimized compliance monitoring for all transaction reporting requirements
  • Building internal transaction reporting expertise and AI competence centers
  • Customized training programs for AI-supported transaction reporting management
  • Continuous AI-based transaction reporting optimization and adaptive compliance monitoring

5 phases

Our AI-supported MiFID Transaction Reporting Approach

We develop a customized, AI-optimized MiFID Transaction Reporting compliance strategy with you that intelligently meets all trade reporting requirements and creates strategic compliance advantages.

  1. AI-based analysis of your current transaction reporting structure and identification of optimization potential

  2. Development of an intelligent, data-driven trade reporting strategy

  3. Building and integration of AI-supported transaction reporting monitoring and optimization systems

  4. Implementation of secure and compliant AI technology solutions with complete IP protection

  5. Continuous AI-based transaction reporting optimization and adaptive compliance monitoring

Your contact

Melanie Düring

Head of Risk Management

+49 69 913 113-01 info@advisori.de
Intelligent optimization of MiFID Transaction Reporting is the key to sustainable market integrity and regulatory excellence. Our AI-supported trade reporting solutions enable institutions not only to achieve regulatory compliance but also to develop strategic efficiency advantages through automated trade data processing and predictive data quality assurance. By combining deep transaction reporting expertise with advanced AI technologies, we create sustainable competitive advantages while protecting sensitive trading data.

7 QUESTIONS, BRIEFLY ANSWERED

Frequently asked questions about MiFIR Transaction Reporting: Article 26, 65 Fields, LEI & FIRDS Reference Data | ADVISORI

What is MiFIR transaction reporting under Article 26?

MiFIR Article 26 transaction reporting obligates investment firms to report every transaction in financial instruments to the competent national authority. Reports must be submitted by the end of the following business day (T+1) and contain up to 65 data fields covering clients, counterparties, instruments, price, quantity and timestamps. The purpose is to enable market surveillance and detection of market abuse across EU financial markets.

What are the 65 fields in a MiFIR transaction report?

The 65 fields are grouped into seven categories: client information (name, LEI or national identifier), counterparty data, transaction details (price, quantity, currency, execution timestamp), instrument data (ISIN, CFI code, underlying), trading venue information (MIC code), processing fields (transaction reference number, report status) and decision-maker information (trader ID, algorithm ID). Each field has specific validation rules defined in RTS 25.

Who is required to report under MiFIR Article 26?

All investment firms executing transactions in reportable financial instruments are subject to the reporting obligation. This includes banks and securities trading firms with trading activities. Firms can submit reports directly to the national competent authority or delegate submission to an Approved Reporting Mechanism (ARM). Even when delegating, the reporting firm retains responsibility for data accuracy and completeness.

What is FIRDS and how does it relate to transaction reporting?

FIRDS (Financial Instruments Reference Data System) is ESMA's central database for instrument reference data. Trading venues and systematic internalisers report their instruments to FIRDS. When submitting transaction reports, the instrument details must match FIRDS records — particularly ISIN, CFI code and trading venue MIC. Missing or inconsistent FIRDS entries are a frequent source of reporting errors and rejections.

Why is the Legal Entity Identifier (LEI) critical for transaction reporting?

The LEI is a 20-character alphanumeric code that uniquely identifies legal entities worldwide. For MiFIR transaction reporting, all involved legal entities — the ordering party, counterparty and reporting firm — must hold a valid, active LEI. Expired or inactive LEIs cause report rejections. Regular LEI renewal and validation is therefore a critical component of the reporting process.

What are common errors in MiFIR transaction reporting?

Typical error sources include invalid or expired LEIs, incorrect ISIN codes, wrong trading venue MICs, incorrect timestamp formats, incomplete client identification for natural persons, and inconsistencies between reported and FIRDS-registered instrument data. Correctly distinguishing between new submissions, cancellations and corrections is also error-prone.

How does ADVISORI support MiFIR transaction reporting implementation?

ADVISORI provides comprehensive transaction reporting advisory: gap analysis of existing reporting processes, mapping of 65 fields to internal data sources, implementation of validation rules per RTS 25, ARM system integration, LEI management and FIRDS reconciliation. We also support preparation for the MiFIR review changes and train specialist teams in compliant reporting processes.

Certificates, partners and more

ISO 9001 CertifiedISO 27001 CertifiedISO 14001 CertifiedBeyondTrust PartnerBVMW Bundesverband MitgliedMitigant PartnerGoogle PartnerTop 100 InnovatorMicrosoft AzureAmazon Web Services

Your strategic success starts here

Our clients trust our expertise in digital transformation, compliance, and risk management

Ready for the next step?

Schedule a strategic consultation with our experts now

30 Minutes • Non-binding • Immediately available

For optimal preparation of your strategy session:

Your strategic goals and challenges
Desired business outcomes and ROI expectations
Current compliance and risk situation
Stakeholders and decision-makers in the project

Prefer direct contact?

Direct hotline for decision-makers

Strategic inquiries via email

Detailed Project Inquiry

For complex inquiries or if you want to provide specific information in advance