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: GenAI and LLM case studies for Surveillance, Screening and Scanning

As Generative AI (GenAI) and Large Language Models (LLMs) move from pilot to production, compliance, surveillance, and screening functions are seeing tangible results – and new risks. From trade surveillance to adverse media screening to policy and regulatory scanning, GenAI and LLMs promise to tackle complexity and volume at a scale never seen before. But...

BLOG

smartKYC QnA: Accelerating Due Diligence at Scale

Hugo Chamberlain is the chief commercial officer of UK-based smartKYC, which has been automating the KYC process since 2014. Data Management Insight spoke to Hugo to find out how the company is helping financial institutions streamline their onboarding processes. Data Management Insight: Hello Hugo. When was smartKYC created and how does it serve financial institutions?...

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

Enterprise Data Management, 2010 Edition

The global regulatory community has become increasingly aware of the data management challenge within financial institutions, as it struggles with its own challenge of better tracking systemic risk across financial markets. The US regulator in particular is seemingly keen to kick off a standardisation process and also wants the regulatory community to begin collecting additional...