KX and ExeQution Analytics Team Up for Trading Analytics Solutions

by Tareq Sikder
  • The collaboration aims to enhance trading analytics using the kdb+ time series database framework.
  • ExeQution's analytics framework, operating in the KX vector language 'q,' rapidly analyzes datasets.
KX

In a strategic partnership, KX, known for its vector-native, real-time, and high-volume time series data analytics, has teamed up with ExeQution Analytics, a trading analytics company. Together, they aim to develop trading analytics by using a framework based on the kdb+ time series database. This framework, covering different aspects of the trading process, merges KX's high-speed, performant time series technology with ExeQution's experience, offering insights into trading data.

The Demand for Efficient Trading Analysis in Finance

The financial industry faces escalating costs, rapidly increasing data volumes, and complex market microstructures, raising the stakes for institutions. Despite these challenges, there is a growing expectation for efficient trading analysis.

Ashok Reddy, CEO of KX
Ashok Reddy, CEO, KX, Source: LinkedIn

The new framework aims to address these needs, providing customized analytics and dashboards that identify opportunities to optimize trading strategies.

Developed in q, the powerful KX vector language, the custom ExeQution analytics framework analyzes data at scale and speed. It enables data scientists, electronic traders, and engineers to deploy a library of advanced analytics, unlocking the potential of market data. This insight allows financial institutions to understand market microstructure, optimize algorithmic trading, and improve overall performance across their trading operations.

Cat Turley, CEO of ExeQution Analytics
Cat Turley, CEO, ExeQution Analytics, Source: LinkedIn

Ashok Reddy, the 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." He emphasized the increasing demand for understanding trading behavior and achieving execution performance in the market landscape.

Cat Turley, the CEO of ExeQution Analytics, highlighted the importance of adapting to learning-based trading models. She noted: "In partnership with KX, ExeQution Analytics has brought to bear a powerful technology that provides financial institutions with greater insight into market microstructure and trading patterns through custom analytics and visualizations."

B2C2 Expands Collaboration with KX

In an earlier report, Finance Magnates wrote that the cryptocurrency liquidity provider B2C2, owned by Japan's SBI Holdings, had broadened its collaboration with KX, a provider of database and analytics engines, to enhance trading analytics and extend its offerings.

Leveraging KX's high-performance and real-time analytics solutions, including the KX Dashboards visualization tool, B2C2 aims to provide institutional clients with services comparable to those offered by traditional T1 investment banks. KX's analytics technology, built on its proprietary kdb+ solution, enables B2C2 to process vast amounts of data in real-time, crucial for timely decision-making in the digital asset market.

In a strategic partnership, KX, known for its vector-native, real-time, and high-volume time series data analytics, has teamed up with ExeQution Analytics, a trading analytics company. Together, they aim to develop trading analytics by using a framework based on the kdb+ time series database. This framework, covering different aspects of the trading process, merges KX's high-speed, performant time series technology with ExeQution's experience, offering insights into trading data.

The Demand for Efficient Trading Analysis in Finance

The financial industry faces escalating costs, rapidly increasing data volumes, and complex market microstructures, raising the stakes for institutions. Despite these challenges, there is a growing expectation for efficient trading analysis.

Ashok Reddy, CEO of KX
Ashok Reddy, CEO, KX, Source: LinkedIn

The new framework aims to address these needs, providing customized analytics and dashboards that identify opportunities to optimize trading strategies.

Developed in q, the powerful KX vector language, the custom ExeQution analytics framework analyzes data at scale and speed. It enables data scientists, electronic traders, and engineers to deploy a library of advanced analytics, unlocking the potential of market data. This insight allows financial institutions to understand market microstructure, optimize algorithmic trading, and improve overall performance across their trading operations.

Cat Turley, CEO of ExeQution Analytics
Cat Turley, CEO, ExeQution Analytics, Source: LinkedIn

Ashok Reddy, the 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." He emphasized the increasing demand for understanding trading behavior and achieving execution performance in the market landscape.

Cat Turley, the CEO of ExeQution Analytics, highlighted the importance of adapting to learning-based trading models. She noted: "In partnership with KX, ExeQution Analytics has brought to bear a powerful technology that provides financial institutions with greater insight into market microstructure and trading patterns through custom analytics and visualizations."

B2C2 Expands Collaboration with KX

In an earlier report, Finance Magnates wrote that the cryptocurrency liquidity provider B2C2, owned by Japan's SBI Holdings, had broadened its collaboration with KX, a provider of database and analytics engines, to enhance trading analytics and extend its offerings.

Leveraging KX's high-performance and real-time analytics solutions, including the KX Dashboards visualization tool, B2C2 aims to provide institutional clients with services comparable to those offered by traditional T1 investment banks. KX's analytics technology, built on its proprietary kdb+ solution, enables B2C2 to process vast amounts of data in real-time, crucial for timely decision-making in the digital asset market.

About the Author: Tareq Sikder
Tareq Sikder
  • 619 Articles
  • 4 Followers
About the Author: Tareq Sikder
A Forex technical analyst and writer who has been engaged in financial writing for 12 years.
  • 619 Articles
  • 4 Followers

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