QuantHouse & Quod Financial to enhance AI-driven trading

QuantHouse and Quod Financial have entered into a strategic global partnership to enhance the capabilities of AI-driven trading algorithms. QuantHouse will supply its low-latency and historical market data to Quod Financial, which will use this data to refine its trading algorithms and enable firms to conduct real-time, highly accurate transaction cost analysis (TCA) at the point of execution.

Rob Kirby, Head of EMEA Sales and Business Development at QuantHouse, remarked on the importance of high-quality data for the effectiveness of machine learning (ML) and artificial intelligence (AI) technologies. "In today's trading environment, financial institutions are actively exploring and adopting the latest advances in AI and machine learning (ML) to enhance trading outcomes. The key challenge with deploying these latest innovations into the trading environment is that AI-driven algorithms can only be as accurate as the data on which AI systems are trained," he said.

Kirby further elaborated on how QuantHouse's extensive historical data will be utilised to train Quod Financial's AI and ML models. "QuantHouse's high-quality, extensive historical data is now being used to train QuodFinancial's AI/ML models to adapt to and even anticipate market movements. Traders no longer need to adjust their TCA assumptions or trading strategies manually when unexpected market events happen. 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," said Kirby. "We are very excited about this collaboration and look forward to working together to empower market participants with the right data for AI-driven trading optimisation."

Medan Gabbay, Chief Revenue Officer at Quod Financial, highlighted the critical role of high-quality data in trading technology performance. "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 transition to data automation and AI/ML. QuantHouse has proven to be an exceptional partner in this data journey," Gabbay commented.

The collaboration aims to leverage QuantHouse's market data to enhance Quod Financial's trading platforms. The goal is to deliver data that will allow financial firms to optimise their trading strategies by integrating advanced AI and ML techniques into their operations. This would not only improve the accuracy of transaction cost analysis but also help traders in making more informed decisions in real time.

The strategic partnership occurs at a time when many financial institutions are increasingly turning to AI and ML to gain a competitive edge in trading. QuantHouse's provision of high-quality market data, both current and historic, is expected to significantly benefit Quod Financial in its mission to innovate in multi-asset trading technology.

This partnership represents a significant step toward the future of AI-driven financial services, where the accuracy and quality of market data could greatly influence trading outcomes. QuantHouse and Quod Financial aim to provide the tools necessary for market participants to stay ahead in a rapidly evolving trading environment.