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: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...

BLOG

TS Imagine Data Highlights Accelerating Electronification of Fixed Income Trading

New data from TS Imagine points to a sharp acceleration in the electronification of fixed income markets, with growing adoption of electronic execution protocols, increased portfolio trading activity, and broader engagement across buy-side workflows. According to year-over-year figures from the firm’s TradeSmart fixed income execution management system, overall fixed income trading volumes rose 44 percent...

EVENT

RegTech Summit New York

Now in its 9th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...