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: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

LSEG and Microsoft Deepen Partnership to Power AI Agents with Financial Data

The London Stock Exchange Group (LSEG) and Microsoft are taking the next step in their strategic partnership, announcing a plan to transform how financial services professionals interact with data by embedding LSEG’s vast datasets into Microsoft’s AI ecosystem. The collaboration will enable users to build and deploy customised AI agents, or ‘Copilots,’ within their daily...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...