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 Integrates Otas Analytics to Meet Demand for Added Value Best Ex Tools

Subscribe to our newsletter

Tora has enhanced its cloud-based order and execution management system (OEMS) with the integration of Otas portfolio and trading analytics. The integration is expected to help clients generate alpha and meet the best execution requirements of Markets in Financial Instruments Directive II (MiFID II).

Building out its MiFID II capability, the company has also integrated its platform with the UnaVista Approved Reporting Mechanism (ARM) to support transaction reporting, and is talking about integration with two more ARMs and three Approved Publication Arrangements (APA) providing pre-trade reporting.

The Otas real-time analytics sit alongside existing analytics developed by Tora on the OEMS platform and are designed to minimise trading costs by monitoring ongoing market conditions and alerting traders in real time to exceptional occurrences in volume, price, liquidity and spread.

Chris Jenkins, managing director at Tora, says: “There is demand from traders for specialist tools that add value to best execution. They want technology suppliers to go above and beyond what their brokers can do. Otas is particularly good here as it provides impact analysis of potential trades on the market and signals to move out or resize trades.”

Otas has been integrated into the Tora OEMS and is being used by some of Tora’s clients that operate within the scope of MiFID II. Unlike most technology vendors in capital markets, Tora was established in Japan about 10 years ago and is making its way west. It opened a location in Europe early this year and has hired executives in New York ahead of opening an office to serve North America.

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

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

TEST Event page 2

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

The Data Management Implications of Solvency II

This special report accompanies a webinar we held on the popular topic of The Data Management Implications of Solvency II, discussing the data implications for asset managers and their custodians and asset servicers. You can register here to get immediate access to the Special Report.