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: Hearing from the Experts: AI Governance Best Practices

The rapid spread of artificial intelligence in the financial industry presents data teams with novel challenges. AI’s ability to harvest and utilize vast amounts of data has raised concerns about the privacy and security of sensitive proprietary data and the ethical and legal use of external information. Robust data governance frameworks provide the guardrails needed...

BLOG

From Broker Bias to Independent Insight: The Case for Cloud-Native TCA

For years, the path of least resistance for buy-side transaction cost analysis (TCA) was simple: let the broker do it. Historically, asset managers have relied on their execution counterparties to provide post-trade reporting. It was a workflow of convenience. Brokers executed the trades and subsequently provided the analysis on how well they performed. However, this...

EVENT

Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

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,...