About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

TORA Delivers AI Tool Designed to Help Traders Meet MiFID II Best Execution

Subscribe to our newsletter

Investment solutions supplier TORA has developed a pre-trade analytics solution that uses artificial intelligence (AI) to help trading firms meet the best execution requirements of Markets in Financial Instruments Directive II (MiFID II). TORA is offering the tool as part of its cloud-based order and execution management system (OEMS), enabling traders to monitor costs across the lifecycle of a trade and improve investment decision making.

TORA says its solution moves beyond traditional transaction cost analysis (TCA) to accurately estimate price slippage for trades before they enter the market. The solution examines the core attributes of orders – such as spread, volatility and volume consumption – using a library of historical, global market data. From this, it estimates the market impact of using any broker and algorithm combination, helping traders decide the best place to send their orders. Its estimation precision increases over time, through machine learning algorithms that continuously capture new order data as it comes in, and a neural network that is trained using real-time and historical data.

David Tattan, head of European business development at TORA, says: “MiFID II raises the bar for traders to deliver and demonstrate best execution to investors and regulators. Automation and AI will play an important part in helping them keep up with market complexity and a proliferation of information to process.”

As well as the AI TCA tool, TORA offers in-trade and post-trade TCA products that are available on live interactive dashboards and in blotters. The company also supports best execution via integration with OTAS and a range of broker algorithms.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

LSEG Secures Major Bank Investment to Overhaul Post-Trade Landscape Ahead of T+1

The London Stock Exchange Group (LSEG) has announced a significant partnership with a consortium of 11 leading global banks, who will collectively invest to take a 20% stake in LSEG’s Post Trade Solutions business. The £170 million investment values the unit at £850 million and signals a collaborative push to innovate and standardise the derivatives...

EVENT

TradingTech Summit New York

Our TradingTech Briefing in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

The DORA Implementation Playbook: A Practitioner’s Guide to Demonstrating Resilience Beyond the Deadline

The Digital Operational Resilience Act (DORA) has fundamentally reshaped the European Union’s financial regulatory landscape, with its full application beginning on January 17, 2025. This regulation goes beyond traditional risk management, explicitly acknowledging that digital incidents can threaten the stability of the entire financial system. As the deadline has passed, the focus is now shifting...