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

QuantHouse Partners with QUOD to Enhance AI-Driven Trading Algorithms & TCA

Subscribe to our newsletter

Iress’s QuantHouse division has formed a strategic global partnership with multi-asset trading technology provider QUOD Financial. Under the agreement, QuantHouse will supply low-latency and historical market data to QUOD, which will be utilised for back-testing and optimisation of QUOD’s AI-driven trading algorithms, and to facilitate real-time, highly accurate transaction cost analysis (TCA) at the point of execution.

“For organisations such as QUOD, obtaining consistent and comprehensive data is crucial,” QuantHouse’s Head of EMEA Sales and Business Development, Rob Kirby, tells TradingTech Insight. “By partnering with Quant House, QUOD can now receive both real-time low-latency market data and historical market data with the same symbology. They can leverage our historical data to train and back-test their AI trading models, before transitioning to production using the same format with low-latency real-time market data. This data can feed into their smart order router and algorithmic technologies, creating a seamless process.”

Across electronic trading, financial institutions are increasingly adopting AI and machine learning (ML) to improve trading and execution outcomes, says Kirby. “A significant challenge in implementing these technologies is ensuring the accuracy of the data on which AI systems are trained,” he says. “QuantHouse’s high-quality, extensive historical data is now being employed to train QUOD’s AI/ML models, enabling them to adapt to and anticipate market movements. They can also utilise our real-time data to optimise the timing, price, and quantity of trade executions, thereby minimising transaction costs and market impact.”

Traders no longer need to adjust their TCA assumptions or trading strategies manually when unexpected market events happen, suggests Kirby. “They can now analyse the cost associated with each trade, optimise trading strategies and ultimately improve trade executions right at the point where it is needed most: as part of the trade execution.”

Kirby is optimistic about AI’s role in the trading environment. “Looking ahead, it will be interesting to observe the uptake and success rates of clients using traditional methods to execute in markets compared to those utilising AI trading models. This is something we will only fully understand over time. And although risk management is crucial for anyone executing in markets, whether due to human errors or unexpected machine behaviour, I’m confident that AI will save both time and money by processing vast amounts of data rapidly, allowing traders to concentrate on their core strengths.”

Commenting on the partnership, Quod Financial’s Chief Revenue Officer, Medan Gabbay, said: “In financial services, the performance of your technology is defined by the quality and speed of the data that powers your systems. This has never been more true or more important than now, as we go through a transition of data automation and AI/ML. QuantHouse has proven to be an exceptional partner in this data journey.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The future of market data – Harnessing cloud and AI for market data distribution and consumption

Market data is the lifeblood of trading, but as data volumes grow and real-time demands increase, traditional approaches to distribution and consumption are being pushed to their limits. Cloud technology and AI-driven solutions are rapidly transforming how financial institutions manage, process, and extract value from market data, offering greater scalability, efficiency, and intelligence. This webinar,...

BLOG

BlockFills Integrates Definitive Finance’s On-Chain Execution Platform to Expand Institutional Trading Capabilities

Digital asset infrastructure provider BlockFills has partnered with decentralised finance (DeFi) platform Definitive Finance, to enhance its on-chain trading capabilities for institutional and venture capital clients. The integration allows BlockFills to offer automated execution across a wider range of tokens, including less liquid and emerging assets, while improving execution quality and maintaining trading anonymity. Definitive’s...

EVENT

AI in Capital Markets Summit New York

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...