Inferensys

Glossary

Consolidated Audit Trail (CAT)

A comprehensive SEC-mandated database that tracks all equity and options order lifecycle events across US markets, enabling regulators to reconstruct trading activity with precise timestamps.
Auditor reviewing AI-generated audit trail on laptop, blockchain-like immutable records visible, home office evening.
REGULATORY DATA INFRASTRUCTURE

What is Consolidated Audit Trail (CAT)?

The Consolidated Audit Trail is the SEC-mandated central repository that captures every order, cancellation, modification, and execution for all listed equities and options across all US trading venues.

The Consolidated Audit Trail (CAT) is a comprehensive regulatory database that tracks the complete lifecycle of every equity and options order across all US exchanges and alternative trading systems. Mandated by SEC Rule 613, it assigns a unique CAT-Order-ID to each order, linking all subsequent events—routings, modifications, cancellations, and executions—into a unified, time-stamped audit trail for regulatory surveillance.

Unlike legacy systems that siloed data by venue, the CAT consolidates information from exchanges, dark pools, and broker-dealers into a single central repository operated by FINRA CAT, LLC. This enables regulators to reconstruct market events with millisecond-to-microsecond precision, detect manipulative practices like spoofing and layering, and analyze systemic risks such as flash crashes across the entire fragmented market ecosystem.

REGULATORY INFRASTRUCTURE

Key Features of the CAT System

The Consolidated Audit Trail (CAT) is a comprehensive SEC-mandated database that tracks all equity and options order lifecycle events across US markets, enabling regulators to reconstruct trading activity with precise timestamps.

01

Order Lifecycle Tracking

The CAT captures every event in an order's lifecycle from origination to execution or cancellation. Each order receives a unique CAT-Order-ID that persists across all venues and modifications.

  • Tracks original order receipt, routing, modification, cancellation, and execution
  • Links child orders to parent orders for full audit trail reconstruction
  • Records FIX Protocol message fields including order type, quantity, and price
  • Enables regulators to trace a single order across multiple Smart Order Routers and venues
02

Granular Timestamp Precision

CAT requires timestamps recorded at millisecond or microsecond granularity depending on the event type, synchronized to Coordinated Universal Time (UTC).

  • Order origination events require timestamps to the millisecond
  • Exchange matching engine events require microsecond precision
  • Clock synchronization must align with NIST atomic clock standards
  • Enables precise sequencing of events across colocated and geographically dispersed systems
03

Customer Identifying Information

The CAT captures personally identifiable information (PII) for every account holder behind an order, including the Legal Entity Identifier (LEI) for institutional participants.

  • Requires full name, address, and date of birth for natural persons
  • Maps beneficial ownership through omnibus accounts and allocation structures
  • Uses encrypted CAT-Customer-ID to protect sensitive data at rest
  • Enables cross-market surveillance for insider trading and market manipulation
04

Cross-Market Surveillance

The CAT consolidates data from all National Market System (NMS) exchanges, Alternative Trading Systems (ATS), and dark pools into a single repository.

  • Ingests data from 20+ equities exchanges and 10+ options exchanges
  • Captures Intermarket Sweep Orders (ISO) across multiple venues simultaneously
  • Links trade-through violations to specific venue timestamps
  • Enables detection of layering, spoofing, and wash trading patterns across fragmented markets
05

Regulatory Reporting Obligations

FINRA CAT, LLC operates the system on behalf of the SEC, with Industry Members required to report data by 8:00 AM ET on T+1.

  • Small Industry Members have phased compliance deadlines based on trading volume
  • Reporting errors must be corrected within T+3 through the error correction portal
  • Non-compliance triggers Regulation SHO and SEC Rule 613 enforcement actions
  • Data retained for six years with the first two years immediately queryable
06

Data Linkage and Reconstruction

The CAT uses a relational database architecture that links orders, executions, and allocations through a chain of unique identifiers.

  • CAT-Order-ID links to CAT-Execution-ID for each fill event
  • Allocation reports connect executions to specific customer accounts
  • Inter-firm linkages trace routed orders between broker-dealers
  • Enables full reconstruction of a single trading decision from portfolio manager to final execution across all venues
CONSOLIDATED AUDIT TRAIL

Frequently Asked Questions

Clarifying the architecture, scope, and operational impact of the SEC's comprehensive market surveillance database.

The Consolidated Audit Trail (CAT) is a comprehensive SEC-mandated database that tracks every lifecycle event for all quoted and traded equity and options securities across all US exchanges and FINRA-member off-exchange venues. It works by requiring broker-dealers and exchanges to report detailed order information—including precise timestamps, venue routing, and customer identifiers—to a central repository operated by FINRA CAT, LLC. Unlike legacy surveillance systems that captured only executed trades, the CAT captures order origination, modification, cancellation, and routing events, enabling regulators to reconstruct the complete lifecycle of any order from generation to execution or cancellation. The system assigns a unique CAT Order ID to each order, linking all subsequent events across venues into a single, traceable lineage. Data is reported in near-real-time, with most events required by 8:00 AM ET the following trading day, creating a unified audit trail that eliminates the blind spots of fragmented market surveillance.

Prasad Kumkar

About the author

Prasad Kumkar

CEO & MD, Inference Systems

Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.

His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.