Skip to main content

Concept

The removal of the mandatory RTS 28 reports represents a significant inflection point in the lifecycle of institutional trade execution. This development compels firms to re-evaluate their entire operational framework for demonstrating best execution. The core obligation to achieve the best possible result for clients remains steadfastly in place; what has changed is the mechanism for its verification.

The transition away from a prescriptive, report-centric compliance exercise toward a more principles-based, evidence-driven approach demands a higher order of internal diligence and analytical rigor. It is a shift from a culture of reporting to a culture of demonstrable quality.

At its heart, best execution is the duty for firms to take all sufficient steps to obtain the best possible result for their clients, considering factors like price, costs, speed, likelihood of execution, and size. The RTS 28 reports were a post-trade transparency tool designed to meet this obligation by requiring firms to publicly disclose their top five execution venues and a summary of the execution quality achieved. However, extensive feedback from market participants and regulators revealed that these reports were seldom used by end investors and failed to provide a meaningful basis for comparing execution quality across different firms. Their removal, therefore, is not a dilution of the principle but an acknowledgement of the tool’s ineffectiveness.

The fundamental duty of best execution persists; only the method of its demonstration has evolved, demanding a more robust, data-centric internal framework.

This new paradigm places the onus squarely on the firm to construct a coherent and defensible narrative of its execution practices. This narrative must be supported by a robust internal framework of policies, procedures, and data analysis. The firm’s execution policy becomes the central document, outlining the firm’s approach to achieving best execution across different asset classes and client types.

This policy is a living document, subject to regular review and adaptation in response to changing market conditions and internal performance analysis. The effectiveness of this policy, and the firm’s adherence to it, form the bedrock of demonstrating best execution in a post-RTS 28 world.


Strategy

In the absence of the prescriptive RTS 28 reporting framework, a firm’s strategy for demonstrating best execution must be rooted in a dynamic and multi-faceted approach. The core of this strategy is the establishment of a comprehensive and effective execution policy, which serves as the firm’s central governing document for all trading activities. This policy must be meticulously crafted to reflect the specific nature of the firm’s business, including the types of financial instruments traded, the characteristics of its client base, and the range of execution venues available. It is through the diligent implementation and regular review of this policy that a firm can build a credible and defensible case for its adherence to the principle of best execution.

An intricate, transparent cylindrical system depicts a sophisticated RFQ protocol for digital asset derivatives. Internal glowing elements signify high-fidelity execution and algorithmic trading

The Centrality of the Execution Policy

A robust execution policy is the cornerstone of a modern best execution framework. It must clearly articulate the relative importance of the various execution factors, such as price, cost, speed, and likelihood of execution, for different types of orders and financial instruments. For instance, when executing a large, illiquid order, the likelihood of execution and minimizing market impact may take precedence over achieving the highest possible speed. Conversely, for a small, liquid order, price and speed might be the primary considerations.

The policy should also identify the specific execution venues and strategies that the firm will employ to achieve the best possible results for its clients. This includes a clear rationale for the selection of particular brokers, trading venues, or algorithmic trading strategies.

A luminous digital market microstructure diagram depicts intersecting high-fidelity execution paths over a transparent liquidity pool. A central RFQ engine processes aggregated inquiries for institutional digital asset derivatives, optimizing price discovery and capital efficiency within a Prime RFQ

Governance and Oversight

Effective governance and oversight are critical components of a successful best execution strategy. Firms must establish a clear internal governance structure, with designated individuals or committees responsible for overseeing the firm’s execution arrangements. This governance body should be responsible for the following:

  • Policy Review and Approval ▴ Regularly reviewing and updating the execution policy to ensure it remains fit for purpose.
  • Monitoring Effectiveness ▴ Overseeing the firm’s monitoring of the effectiveness of its execution arrangements and policy.
  • Remedial Action ▴ Ensuring that any identified deficiencies in the firm’s execution arrangements are promptly addressed.

This governance structure provides a clear line of accountability and ensures that best execution is embedded in the firm’s culture and operational processes.

Modular institutional-grade execution system components reveal luminous green data pathways, symbolizing high-fidelity cross-asset connectivity. This depicts intricate market microstructure facilitating RFQ protocol integration for atomic settlement of digital asset derivatives within a Principal's operational framework, underpinned by a Prime RFQ intelligence layer

The Role of Transaction Cost Analysis

Transaction Cost Analysis (TCA) has become an indispensable tool in the modern best execution framework. TCA provides a quantitative basis for assessing the quality of execution and identifying areas for improvement. By analyzing trading data against various benchmarks, firms can gain valuable insights into the effectiveness of their execution strategies and the performance of their chosen execution venues. A comprehensive TCA program should include pre-trade, intra-trade, and post-trade analysis.

Transaction Cost Analysis Framework
Analysis Stage Objective Key Metrics
Pre-Trade Analysis To estimate the potential costs and risks of a trade before it is executed. Estimated market impact, volatility, spread, and liquidity.
Intra-Trade Analysis To monitor the execution of a trade in real-time and make adjustments as necessary. Real-time slippage against arrival price, fill rates, and order routing analysis.
Post-Trade Analysis To evaluate the overall quality of execution after a trade has been completed. Implementation shortfall, VWAP (Volume-Weighted Average Price), and TWAP (Time-Weighted Average Price).


Execution

The execution of a best execution framework in the absence of RTS 28 is a matter of meticulous documentation, rigorous analysis, and a commitment to continuous improvement. It requires a firm to move beyond a compliance-oriented mindset and embrace a data-driven approach to optimizing trading outcomes for its clients. This section provides a detailed playbook for implementing a robust best execution framework, including quantitative modeling, predictive scenario analysis, and system integration considerations.

Symmetrical internal components, light green and white, converge at central blue nodes. This abstract representation embodies a Principal's operational framework, enabling high-fidelity execution of institutional digital asset derivatives via advanced RFQ protocols, optimizing market microstructure for price discovery

The Operational Playbook

A firm’s operational playbook for best execution should be a comprehensive guide that outlines the specific steps and procedures for ensuring and demonstrating compliance with the best execution obligation. This playbook should be tailored to the firm’s specific business model and should be regularly reviewed and updated.

  1. Establish a Best Execution Committee ▴ This committee should be composed of senior management from across the firm, including trading, compliance, and risk. The committee’s mandate should be to oversee the firm’s best execution arrangements, review TCA reports, and approve any changes to the execution policy.
  2. Develop a Comprehensive Execution Policy ▴ The execution policy should be the central document of the firm’s best execution framework. It should clearly articulate the firm’s approach to best execution for different asset classes, client types, and order types. The policy should also identify the specific execution venues and strategies that the firm will use to achieve the best possible results for its clients.
  3. Implement a Robust TCA Program ▴ The firm should implement a comprehensive TCA program that includes pre-trade, intra-trade, and post-trade analysis. The TCA program should be used to monitor the effectiveness of the firm’s execution arrangements and to identify areas for improvement.
  4. Document Everything ▴ In a post-RTS 28 world, documentation is paramount. Firms must maintain detailed records of all trades, including the time the order was received, the time it was executed, the execution venue, the price, and the costs. They must also document the rationale for any decisions made regarding the execution of an order, particularly for large or complex trades.
A robust circular Prime RFQ component with horizontal data channels, radiating a turquoise glow signifying price discovery. This institutional-grade RFQ system facilitates high-fidelity execution for digital asset derivatives, optimizing market microstructure and capital efficiency

Quantitative Modeling and Data Analysis

Quantitative modeling and data analysis are the bedrock of a modern best execution framework. By leveraging data, firms can move from a subjective assessment of execution quality to an objective, evidence-based approach. The following table provides an example of how a firm might use TCA to compare the performance of two different brokers for a specific type of order.

Broker Performance Comparison via TCA
Metric Broker A Broker B Analysis
Average Slippage vs. Arrival Price -2.5 bps -3.1 bps Broker A demonstrates less price slippage from the time the order is received.
Average Fill Rate 98% 95% Broker A has a higher likelihood of completing the order.
Average Commission 0.05% 0.04% Broker B is more cost-effective in terms of explicit costs.
VWAP Deviation +1.2 bps +2.5 bps Broker A’s executions are, on average, closer to the volume-weighted average price.
A principles-based best execution framework shifts the focus from rote compliance to a continuous, data-driven quest for superior execution quality.
A precision-engineered blue mechanism, symbolizing a high-fidelity execution engine, emerges from a rounded, light-colored liquidity pool component, encased within a sleek teal institutional-grade shell. This represents a Principal's operational framework for digital asset derivatives, demonstrating algorithmic trading logic and smart order routing for block trades via RFQ protocols, ensuring atomic settlement

Predictive Scenario Analysis

Consider a scenario where an asset manager needs to execute a large order for a thinly traded stock. In a post-RTS 28 world, the firm’s process for demonstrating best execution would be as follows:

  • Pre-Trade Analysis ▴ The portfolio manager would use a pre-trade analytics tool to estimate the potential market impact of the order. The tool might suggest that executing the order in a single block would result in significant price slippage. Based on this analysis, the portfolio manager decides to use an algorithmic trading strategy, such as a VWAP algorithm, to break the order up into smaller pieces and execute it over the course of the day.
  • Venue Selection ▴ The firm’s execution policy would outline the approved execution venues for this type of order. The algorithmic trading strategy would be configured to route the order to a variety of lit and dark venues in order to access the maximum amount of liquidity while minimizing market impact.
  • Intra-Trade Monitoring ▴ The trading desk would monitor the execution of the order in real-time, using an EMS to track the performance of the algorithm against the VWAP benchmark. If the algorithm is deviating significantly from the benchmark, the trader may intervene and adjust the trading strategy.
  • Post-Trade Analysis ▴ Once the order is complete, a post-trade TCA report would be generated. The report would compare the execution price to a variety of benchmarks, including the arrival price, the VWAP, and the implementation shortfall. The report would also provide a detailed breakdown of the costs associated with the trade, including commissions and fees. This report, along with the pre-trade analysis and a record of the intra-trade monitoring, would serve as the firm’s evidence that it took all sufficient steps to achieve the best possible result for the client.
Internal hard drive mechanics, with a read/write head poised over a data platter, symbolize the precise, low-latency execution and high-fidelity data access vital for institutional digital asset derivatives. This embodies a Principal OS architecture supporting robust RFQ protocols, enabling atomic settlement and optimized liquidity aggregation within complex market microstructure

System Integration and Technological Architecture

A robust technological architecture is essential for supporting a modern best execution framework. The key components of this architecture include:

  • Order Management System (OMS) ▴ The OMS is the central repository for all order data. It should be configured to capture all of the information necessary for TCA, including the time the order was received, the order type, the limit price, and any special instructions.
  • Execution Management System (EMS) ▴ The EMS is used to manage the execution of orders. It should provide access to a wide range of execution venues and algorithmic trading strategies. The EMS should also provide real-time monitoring capabilities, allowing traders to track the performance of their orders against various benchmarks.
  • Transaction Cost Analysis (TCA) Platform ▴ The TCA platform is used to analyze trading data and generate reports on execution quality. The platform should be able to consume data from the OMS and EMS and should provide a variety of analytical tools and benchmarks.

These systems must be tightly integrated to ensure a seamless flow of data from order creation to post-trade analysis. The use of industry-standard protocols, such as the Financial Information eXchange (FIX) protocol, is essential for achieving this integration. The FIX protocol provides a standardized format for communicating trade-related information, ensuring that data can be easily exchanged between different systems and counterparties.

Precision-engineered modular components display a central control, data input panel, and numerical values on cylindrical elements. This signifies an institutional Prime RFQ for digital asset derivatives, enabling RFQ protocol aggregation, high-fidelity execution, algorithmic price discovery, and volatility surface calibration for portfolio margin

References

  • European Securities and Markets Authority. (2024). ESMA clarifies certain best execution reporting requirements under MiFID II.
  • Optiver. (2021). A better way to measure best execution.
  • Autorité des Marchés Financiers. (2020). Guide to best execution.
  • TRAction Fintech. (2023). Best Execution Best Practices.
  • Malta Financial Services Authority. (2024). The European Securities and Markets Authority (“ESMA”) Clarifies Certain Best Execution Reporting Requirements under MiFID II.
A sleek, open system showcases modular architecture, embodying an institutional-grade Prime RFQ for digital asset derivatives. Distinct internal components signify liquidity pools and multi-leg spread capabilities, ensuring high-fidelity execution via RFQ protocols for price discovery

Reflection

The transition away from RTS 28 reporting marks a pivotal moment for institutional finance. It presents an opportunity to move beyond a compliance-driven exercise and cultivate a deeper, more meaningful commitment to the principles of best execution. This shift demands a more sophisticated and data-centric approach, one that is grounded in a robust internal framework of policies, procedures, and analytics. The firms that will thrive in this new environment are those that view best execution not as a regulatory burden, but as a source of competitive advantage.

By embracing a culture of continuous improvement and leveraging the power of data, firms can enhance their trading performance, reduce their costs, and ultimately, deliver better outcomes for their clients. The end of RTS 28 is not the end of the story; it is the beginning of a new chapter in the evolution of best execution.

Abstract depiction of an institutional digital asset derivatives execution system. A central market microstructure wheel supports a Prime RFQ framework, revealing an algorithmic trading engine for high-fidelity execution of multi-leg spreads and block trades via advanced RFQ protocols, optimizing capital efficiency

Glossary

A sleek, spherical intelligence layer component with internal blue mechanics and a precision lens. It embodies a Principal's private quotation system, driving high-fidelity execution and price discovery for digital asset derivatives through RFQ protocols, optimizing market microstructure and minimizing latency

Best Execution

Meaning ▴ Best Execution is the obligation to obtain the most favorable terms reasonably available for a client's order.
A sophisticated teal and black device with gold accents symbolizes a Principal's operational framework for institutional digital asset derivatives. It represents a high-fidelity execution engine, integrating RFQ protocols for atomic settlement

Execution Quality

Meaning ▴ Execution Quality quantifies the efficacy of an order's fill, assessing how closely the achieved trade price aligns with the prevailing market price at submission, alongside consideration for speed, cost, and market impact.
Internal components of a Prime RFQ execution engine, with modular beige units, precise metallic mechanisms, and complex data wiring. This infrastructure supports high-fidelity execution for institutional digital asset derivatives, facilitating advanced RFQ protocols, optimal liquidity aggregation, multi-leg spread trading, and efficient price discovery

Execution Venues

Meaning ▴ Execution Venues are regulated marketplaces or bilateral platforms where financial instruments are traded and orders are matched, encompassing exchanges, multilateral trading facilities, organized trading facilities, and over-the-counter desks.
A precision-engineered metallic and glass system depicts the core of an Institutional Grade Prime RFQ, facilitating high-fidelity execution for Digital Asset Derivatives. Transparent layers represent visible liquidity pools and the intricate market microstructure supporting RFQ protocol processing, ensuring atomic settlement capabilities

Execution Policy

Meaning ▴ An Execution Policy defines a structured set of rules and computational logic governing the handling and execution of financial orders within a trading system.
A complex, multi-layered electronic component with a central connector and fine metallic probes. This represents a critical Prime RFQ module for institutional digital asset derivatives trading, enabling high-fidelity execution of RFQ protocols, price discovery, and atomic settlement for multi-leg spreads with minimal latency

Best Execution Framework

Meaning ▴ The Best Execution Framework defines a structured methodology for achieving the most advantageous outcome for client orders, considering price, cost, speed, likelihood of execution and settlement, order size, and any other relevant considerations.
Glowing teal conduit symbolizes high-fidelity execution pathways and real-time market microstructure data flow for digital asset derivatives. Smooth grey spheres represent aggregated liquidity pools and robust counterparty risk management within a Prime RFQ, enabling optimal price discovery

Market Impact

Meaning ▴ Market Impact refers to the observed change in an asset's price resulting from the execution of a trading order, primarily influenced by the order's size relative to available liquidity and prevailing market conditions.
A central engineered mechanism, resembling a Prime RFQ hub, anchors four precision arms. This symbolizes multi-leg spread execution and liquidity pool aggregation for RFQ protocols, enabling high-fidelity execution

Algorithmic Trading

Meaning ▴ Algorithmic trading is the automated execution of financial orders using predefined computational rules and logic, typically designed to capitalize on market inefficiencies, manage large order flow, or achieve specific execution objectives with minimal market impact.
Interlocked, precision-engineered spheres reveal complex internal gears, illustrating the intricate market microstructure and algorithmic trading of an institutional grade Crypto Derivatives OS. This visualizes high-fidelity execution for digital asset derivatives, embodying RFQ protocols and capital efficiency

Governance and Oversight

Meaning ▴ Governance establishes the authoritative framework for systemic control and decision-making within an institutional digital asset derivatives ecosystem.
A precision-engineered institutional digital asset derivatives execution system cutaway. The teal Prime RFQ casing reveals intricate market microstructure

Execution Arrangements

Meaning ▴ Execution Arrangements denote the comprehensive, pre-defined framework and operational parameters that govern the entire lifecycle of a trade order within institutional digital asset derivatives.
A deconstructed mechanical system with segmented components, revealing intricate gears and polished shafts, symbolizing the transparent, modular architecture of an institutional digital asset derivatives trading platform. This illustrates multi-leg spread execution, RFQ protocols, and atomic settlement processes

Transaction Cost Analysis

Meaning ▴ Transaction Cost Analysis (TCA) is the quantitative methodology for assessing the explicit and implicit costs incurred during the execution of financial trades.
Abstract depiction of an advanced institutional trading system, featuring a prominent sensor for real-time price discovery and an intelligence layer. Visible circuitry signifies algorithmic trading capabilities, low-latency execution, and robust FIX protocol integration for digital asset derivatives

Execution Framework

Meaning ▴ An Execution Framework represents a comprehensive, programmatic system designed to facilitate the systematic processing and routing of trading orders across various market venues, optimizing for predefined objectives such as price, speed, or minimized market impact.
Internal mechanism with translucent green guide, dark components. Represents Market Microstructure of Institutional Grade Crypto Derivatives OS

Post-Trade Analysis

Meaning ▴ Post-Trade Analysis constitutes the systematic review and evaluation of trading activity following order execution, designed to assess performance, identify deviations, and optimize future strategies.
A modular, dark-toned system with light structural components and a bright turquoise indicator, representing a sophisticated Crypto Derivatives OS for institutional-grade RFQ protocols. It signifies private quotation channels for block trades, enabling high-fidelity execution and price discovery through aggregated inquiry, minimizing slippage and information leakage within dark liquidity pools

Vwap

Meaning ▴ VWAP, or Volume-Weighted Average Price, is a transaction cost analysis benchmark representing the average price of a security over a specified time horizon, weighted by the volume traded at each price point.
Internal, precise metallic and transparent components are illuminated by a teal glow. This visual metaphor represents the sophisticated market microstructure and high-fidelity execution of RFQ protocols for institutional digital asset derivatives

Implementation Shortfall

Meaning ▴ Implementation Shortfall quantifies the total cost incurred from the moment a trading decision is made to the final execution of the order.
A symmetrical, angular mechanism with illuminated internal components against a dark background, abstractly representing a high-fidelity execution engine for institutional digital asset derivatives. This visualizes the market microstructure and algorithmic trading precision essential for RFQ protocols, multi-leg spread strategies, and atomic settlement within a Principal OS framework, ensuring capital efficiency

Order Management System

Meaning ▴ A robust Order Management System is a specialized software application engineered to oversee the complete lifecycle of financial orders, from their initial generation and routing to execution and post-trade allocation.
A cutaway view reveals an advanced RFQ protocol engine for institutional digital asset derivatives. Intricate coiled components represent algorithmic liquidity provision and portfolio margin calculations

Execution Management System

Meaning ▴ An Execution Management System (EMS) is a specialized software application engineered to facilitate and optimize the electronic execution of financial trades across diverse venues and asset classes.
A sleek, institutional-grade RFQ engine precisely interfaces with a dark blue sphere, symbolizing a deep latent liquidity pool for digital asset derivatives. This robust connection enables high-fidelity execution and price discovery for Bitcoin Options and multi-leg spread strategies

Transaction Cost

Meaning ▴ Transaction Cost represents the total quantifiable economic friction incurred during the execution of a trade, encompassing both explicit costs such as commissions, exchange fees, and clearing charges, alongside implicit costs like market impact, slippage, and opportunity cost.