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Concept

The mandate to report non-actionable electronic Request for Quote (RFQ) responses to the Consolidated Audit Trail (CAT) introduces a profound architectural challenge to the market’s data infrastructure. At its core, the issue stems from a fundamental misalignment between the nature of a non-actionable quotation and the established definition of a reportable “order” or “bid or offer” under Rule 613. A non-actionable response is an indication of interest, a signal within a bilateral negotiation that requires further action from the responding party to become a live, executable order. The CAT system, conversely, was engineered to trace the lifecycle of firm, executable events.

This dissonance creates significant operational friction, forcing firms to capture and report data points that exist outside their traditional order management and execution workflows. The result is a complex data-gathering exercise that requires substantial system modifications and introduces ambiguity into the reporting process.

The core conflict arises because the CAT reporting framework, designed for concrete, executable orders, must now accommodate the nuanced, conditional nature of non-actionable electronic RFQ responses.

This requirement fundamentally alters the data collection responsibilities of market participants. Firms must now architect systems capable of distinguishing between different types of RFQ responses, a task complicated by the varied ways these communications occur. Whether a response is delivered via a proprietary platform, a third-party vendor system, or a direct Financial Information eXchange (FIX) message, its reportability hinges on its “actionability.” This distinction is subtle.

A quote that includes a symbol, side, price, and quantity might appear actionable but is rendered non-actionable if the responding firm must take an additional step to accept an execution. This subtlety places a heavy burden on firms to develop sophisticated logic within their systems to correctly identify and flag these events for reporting, a process fraught with potential for error and misinterpretation.

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What Defines a Non Actionable Response

A non-actionable electronic RFQ response is a quotation provided in a standard electronic format, such as FIX, that cannot be immediately executed by the recipient. Its defining characteristic is the necessity for a subsequent action by the quoting party to finalize a trade. This is distinct from a firm quote, which the recipient can execute against without further intervention. The non-actionable response functions more as a firm indication of interest, a step in a multi-stage negotiation common in block trading and for less liquid instruments.

The workflow typically involves a solicitor sending out an RFQ, receiving several non-actionable responses, selecting a winning quote, and then sending a firm order back to the winning responder to execute the trade. This multi-step process means the initial non-actionable response is a precursor to an order, a piece of pre-trade communication that historically has fallen outside the scope of regulatory reporting.

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The Regulatory Ambiguity

A primary source of the challenge is the interpretive gray area surrounding what constitutes a “bid or offer” under Rule 613. The Financial Information Forum (FIF) has argued that non-executable RFQ responses do not meet this definition, as they are not firm commitments to trade. The Securities and Exchange Commission (SEC) and the CAT Plan Participants, however, have moved toward requiring their inclusion in CAT reporting, citing the need for a complete audit trail of all trading activity. This has led to a situation where the industry must prepare to report a class of events that many believe falls outside the original intent of the regulation.

The SEC has granted a temporary exemption, until July 31, 2026, to allow firms time to develop the necessary reporting frameworks, but this only postpones the inevitable technical and procedural hurdles. The exemption itself is an acknowledgment of the significant implementation challenges involved.

Strategy

Addressing the challenges of reporting non-actionable RFQ responses requires a multi-faceted strategy that extends beyond mere technical compliance. Firms must develop a comprehensive framework that integrates data governance, workflow analysis, and technology adaptation. The overarching goal is to create a resilient and auditable reporting process that minimizes operational disruption and compliance risk.

This involves a deep analysis of existing RFQ workflows to identify every touchpoint where a non-actionable quote is generated, transmitted, and received. Mapping these data flows is the foundational step in designing a system that can accurately capture and report the required information to CAT.

A successful strategy for reporting non-actionable RFQs hinges on a firm’s ability to systematically map its data flows and integrate compliance logic directly into its trading architecture.

A critical component of this strategy is the development of a clear and consistent internal definition of “non-actionable.” While regulatory guidance provides a starting point, the practical application of this definition across different trading desks and systems can be inconsistent. Firms must establish a uniform standard and embed it within their order management systems (OMS) and execution management systems (EMS). This may require software updates, the development of new data fields, and training for traders and compliance personnel. The objective is to create a system where the classification of an RFQ response as actionable or non-actionable is automated and reliable, reducing the potential for human error.

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Data Sourcing and System Integration

The primary strategic challenge lies in sourcing the data. Non-actionable RFQ responses often exist in systems that are not directly connected to a firm’s core order management and reporting infrastructure. They may be communicated through third-party platforms, instant messaging applications, or email.

Integrating these disparate data sources into a unified reporting stream is a significant technical undertaking. The table below illustrates the potential data sources and the integration challenges associated with each.

Data Source Integration Challenge Strategic Approach
Proprietary RFQ Platforms Requires custom API development and data mapping to the firm’s central reporting hub. Develop a standardized data format for all internal RFQ communications to simplify integration.
Third-Party Vendor Platforms Dependent on the vendor’s ability to provide a compliant data feed. May involve additional costs and contractual negotiations. Engage with vendors early to understand their CAT reporting capabilities and timelines. Develop contingency plans for vendors who cannot provide the required data.
Direct FIX Connections Requires enhancements to FIX engines to capture and flag non-actionable responses. This may involve custom tags or logic. Work with FIX engine providers to implement the necessary changes. Conduct thorough testing to ensure accuracy.
Manual Communication Channels (Email, IM) The most challenging to integrate. Requires manual data entry or the use of natural language processing tools to extract relevant information. Establish clear policies and procedures for the capture of data from manual channels. Explore technology solutions for automated data extraction.
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How Does This Impact Workflow Design?

The need to report non-actionable RFQs necessitates a re-evaluation of existing trading workflows. Firms must decide at what point in the workflow the data should be captured and who is responsible for ensuring its accuracy. This may require the introduction of new checkpoints or validation steps. For example, a trader may be required to manually confirm whether a quote is actionable or non-actionable before it is sent.

Alternatively, the system could be designed to automatically classify quotes based on pre-defined rules. The choice of workflow design will depend on a firm’s specific business processes and technology infrastructure.

  • Pre-quote validation ▴ Implement a system prompt that requires the trader to classify the quote before transmission. This provides a clear audit trail but may slow down the trading process.
  • Post-quote reconciliation ▴ Capture all RFQ communications and then use a separate process to identify and classify non-actionable responses. This is less disruptive to the trading workflow but increases the risk of reporting errors.
  • Automated classification ▴ Develop a rules-based engine that automatically classifies quotes based on factors such as the communication channel, the presence of specific keywords, or the use of custom FIX tags. This is the most efficient approach but requires a significant upfront investment in technology.

Execution

The execution of a compliant reporting framework for non-actionable electronic RFQ responses is a complex project that demands a detailed and systematic approach. It requires a cross-functional effort involving compliance, technology, and trading teams. The project can be broken down into several distinct phases, from initial scoping and analysis to final implementation and testing. A successful execution hinges on meticulous planning, clear communication, and a deep understanding of both the regulatory requirements and the firm’s internal systems and workflows.

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The Implementation Playbook

A structured implementation plan is essential for navigating the complexities of this reporting requirement. The following playbook outlines the key steps that firms should take to ensure a successful execution.

  1. Project Initiation and Governance ▴ Establish a dedicated project team with clear roles and responsibilities. Secure senior management buy-in and allocate the necessary resources. Develop a project charter that outlines the scope, objectives, and timeline.
  2. Workflow and Data Flow Analysis ▴ Conduct a comprehensive review of all RFQ-related workflows across the firm. Identify every system and process that is involved in the creation, transmission, and receipt of non-actionable RFQ responses. Document the data flows from source to potential reporting.
  3. Gap Analysis and Requirements Definition ▴ Compare the firm’s current capabilities with the CAT reporting requirements. Identify any gaps in data capture, processing, and reporting. Define the specific business and technical requirements for closing these gaps.
  4. Solution Design and Vendor Selection ▴ Design the target state architecture for reporting non-actionable RFQs. This may involve a combination of in-house development and third-party solutions. If a vendor solution is required, conduct a thorough evaluation process to select the best fit for the firm’s needs.
  5. System Development and Integration ▴ Develop or configure the necessary software components. Integrate the new solution with existing OMS, EMS, and reporting systems. This is likely to be the most time-consuming phase of the project.
  6. Testing and Quality Assurance ▴ Conduct rigorous testing to ensure that the solution is functioning as expected. This should include unit testing, integration testing, and user acceptance testing. Test cases should cover a wide range of RFQ scenarios.
  7. Deployment and Training ▴ Deploy the new solution into the production environment. Provide comprehensive training to all affected personnel, including traders, compliance officers, and technology staff.
  8. Post-Implementation Monitoring and Support ▴ Establish a process for monitoring the accuracy and completeness of the reported data. Provide ongoing support to users and address any issues that arise.
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Data Mapping for Cat Reporting

A critical element of the execution phase is the detailed mapping of internal data fields to the required CAT reporting fields. This requires a granular understanding of both the firm’s data architecture and the CAT technical specifications. The table below provides an example of the data mapping that may be required for a non-actionable RFQ response.

Internal Data Field CAT Reporting Field Transformation Logic
Quote ID firmQuoteKey Direct mapping if available. Otherwise, generate a unique identifier.
Timestamp quoteTimestamp Convert to UTC and format as required by CAT.
Symbol symbol Direct mapping.
Side side Map internal codes (e.g. “B”, “S”) to CAT-specified values.
Price price Direct mapping.
Quantity quantity Direct mapping.
Actionability Flag actionableInd Set to “N” for non-actionable responses.
RFQ ID solicitationKey Link the response to the original RFQ. This may require capturing and storing the RFQ ID.
Effective execution requires a granular data mapping process that translates a firm’s internal data language into the precise specifications of the CAT reporting framework.
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What Are the Primary Technological Hurdles?

The technological implementation of this reporting requirement presents several significant hurdles. Firms must address challenges related to data capture, storage, and transmission. The need to handle a high volume of new data points will place a strain on existing infrastructure and may require investments in new technology. Some of the key technological hurdles include:

  • Data Latency ▴ Capturing and reporting data in near-real-time can be a challenge, particularly for firms with complex, distributed systems.
  • Data Quality ▴ Ensuring the accuracy and completeness of the reported data is paramount. This requires robust data validation and error-checking mechanisms.
  • System Performance ▴ The additional data processing and reporting load can impact the performance of trading and compliance systems. Firms must ensure that their infrastructure is scalable enough to handle the increased volume.
  • Data Security ▴ The transmission of sensitive quote data to CAT raises security concerns. Firms must ensure that they have appropriate security controls in place to protect this data.

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References

  • Financial Information Forum. “FIF Letter to the CAT Plan Participants and FINRA CAT on CAT Reporting for Non-Executable RFQ Responses.” 1 June 2023.
  • Oyster Consulting. “CAT Reporting Exemption ▴ Relief for Electronic Quote Responses.” 2024.
  • Financial Information Forum. “Reporting of non-executable RFQ responses to CAT.” 1 June 2023.
  • CAT NMS Plan. “Are electronic responses to a Request for Quote (RFQ) or other forms of solicitation responses reportable to CAT in Phase 2c (equities) and Phase 2d (options)?” 25 March 2025.
  • CAT NMS Plan. “RFQ Overview Phase 2c & 2d CAT Reporting.” 4 March 2021.
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Reflection

The mandate to report non-actionable electronic RFQ responses to CAT is a significant evolution in market surveillance. It compels firms to look beyond the traditional boundaries of their order management systems and to develop a more holistic view of their data architecture. The challenges are substantial, but they also present an opportunity. Firms that successfully navigate this transition will not only achieve compliance but will also gain a deeper understanding of their own trading processes.

This knowledge can be leveraged to improve efficiency, reduce risk, and enhance execution quality. The ultimate outcome is a more transparent and resilient market, a goal that benefits all participants.

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Glossary

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Non-Actionable Electronic

Reporting non-actionable RFQs to CAT presents a systemic conflict between bespoke negotiation logic and rigid surveillance data architecture.
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Rule 613

Meaning ▴ Rule 613 mandates the creation of a Consolidated Audit Trail, known as CAT, a comprehensive database designed to capture granular data for all orders, executions, and cancellations across U.S.
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Order Management

Meaning ▴ Order Management defines the systematic process and integrated technological infrastructure that governs the entire lifecycle of a trading order within an institutional framework, from its initial generation and validation through its execution, allocation, and final reporting.
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Financial Information

Firms differentiate misconduct by its target ▴ financial crime deceives markets, while non-financial crime degrades culture and operations.
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Electronic Rfq

Meaning ▴ An Electronic RFQ, or Request for Quote, represents a structured digital communication protocol enabling an institutional participant to solicit price quotations for a specific financial instrument from a pre-selected group of liquidity providers.
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Non-Actionable Responses

Reporting non-actionable RFQs to CAT presents a systemic conflict between bespoke negotiation logic and rigid surveillance data architecture.
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Financial Information Forum

Meaning ▴ The Financial Information Forum (FIF) is a non-profit organization dedicated to improving the communication and processing of financial information among market participants.
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Cat Reporting

Meaning ▴ CAT Reporting, or Consolidated Audit Trail Reporting, mandates the comprehensive capture and reporting of all order and trade events across US equity and and options markets.
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Non-Actionable Rfq

Meaning ▴ A Non-Actionable RFQ designates a Request for Quote response that does not permit immediate execution against the stated price and quantity.
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Workflow Analysis

Meaning ▴ Workflow Analysis represents the systematic decomposition and examination of sequential tasks, information flows, and decision points within an operational process, specifically targeting the identification of inefficiencies, redundancies, and bottlenecks in institutional trading or post-trade environments.
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Their Order Management Systems

Integrating TCA data with an OMS builds a self-optimizing execution system that turns post-trade analysis into pre-trade advantage.
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Data Mapping

Meaning ▴ Data Mapping defines the systematic process of correlating data elements from a source schema to a target schema, establishing precise transformation rules to ensure semantic consistency across disparate datasets.
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Market Surveillance

Meaning ▴ Market Surveillance refers to the systematic monitoring of trading activity and market data to detect anomalous patterns, potential manipulation, or breaches of regulatory rules within financial markets.