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: How to move to a modern, component based trading architecture using a Buy AND Build approach

To remain competitive in today’s electronic markets, firms need trading architectures that support rapid innovation, effortless integration of new capabilities, and the agility to respond to shifting market demands. This is prompting technology leaders to move beyond the traditional “Buy vs. Build” debate, a false dichotomy that oversimplifies the choice between generic, off-the-shelf platforms and...

BLOG

FpML to DRR: TradeHeader’s Journey to the Heart of Regulatory Data Standards

Digital Regulatory Reporting (DRR) has gained momentum as the industry looks to replace fragmented, firm-specific interpretations of reporting rules with a shared, machine-executable model that consistently links regulatory requirements to the data used to fulfil them. Rather than relying on templates, local mappings and bespoke logic embedded deep within legacy systems, DRR provides a common...

EVENT

TradingTech Summit New York

Our TradingTech Summit 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

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...