KX, a real-time and high-volume time series data analytics provider, and ExeQution Analytics, a specialist trading analytics company, have developed an advanced trading analytics framework built on the kdb+ time series database.
The framework’s customised analytics and robust dashboards is designed to help identify opportunities to optimise trading strategies and enable trading desks and quant teams to make faster, more informed decisions for greater execution performance.
Developed in q, the KX vector language, the custom ExeQution analytics framework can analyse vast amounts of data at scale and speed and allows data scientists, electronic traders, and engineers to deploy an extensive library of advanced analytics to capitalise on market data, allowing them to better understand market microstructure, optimise algorithmic trading, and improve performance across all aspects of their trading operations.
Speaking exclusively to BEST EXECUTION, Cat Turley, CEO of ExeQution Analytics, said: “The beauty of the ExeQution Analytics Framework is that we are able to integrate this power to deliver advanced functionality regardless to our clients – they don’t need to have KX experts on staff nor do they need to be able to use the system themselves in order to experience its benefits.”
“I have never been tempted to use anything other than KX – they underpin the most sophisticated and elegant analytics possible today. Being systems agnostic, it’s a delight to be able to bring this exceptional capability to a broader church with our ExeQution Analytics Framework,” Turley added.
Ashok Reddy, CEO of KX, said: “Combining the power of KX technology with the proven framework from ExeQution Analytics offers the market a more comprehensive and effective analytics platform at a critical time. In a world where the complexity of market participants is constantly evolving, the demand for increased understanding of trading behaviours and optimal execution performance has never been higher.”
“This partnership doesn’t simply enable trading and quant teams to ‘keep pace.’ It arms them with a robust framework capable of delivering the potent insight needed to inform more accurate and timely trading data decisions in this ever-changing environment,” Reddy added.
© Markets Media Europe 2023
