Exchange Data International (EDI) is pleased to announce a strategic partnership with Code Willing, Inc. in the launch of their groundbreaking CWIQ Platform. This collaboration combines EDI’s comprehensive reference data, corporate actions, and pricing datasets with Code Willing’s cutting-edge CWIQ technology, offering hedge funds and asset managers an enhanced solution for accelerating data analytics and streamlining research workflows.
By mapping EDI’s datasets across the CWIQ Platform, users can dramatically reduce evaluation timelines from months to weeks. The result is a faster, more efficient data pipeline that optimizes alpha generation and reduces operational complexity.
Streamlining Data Workflows with a Robust Security Master
A key feature of this partnership is the development of a robust security master within the CWIQ Platform. This centralized database serves as a single source of truth for critical securities information, connecting multiple datasets and identifiers seamlessly. EDI’s trusted data forms the bedrock of this security master, ensuring accuracy and consistency for quantitative research and model development.
Jonathan Bloch, CEO of Exchange Data International, shared: “We are excited to partner with Code Willing to provide high-quality reference data and corporate actions through their platform. This collaboration streamlines data workflows, enabling quant teams to focus on backtesting, strategy optimization, and building alpha-generating models at scale.”
Empowering Quantitative Teams with the CWIQ Platform
The CWIQ Platform is designed to streamline data cleaning, integration, and exploration. By leveraging this solution, hedge funds and asset managers can deploy trading strategies more rapidly, minimizing the time and costs typically spent on data discovery, trialing, and onboarding. With the inclusion of EDI’s data, the need for time-consuming alignment of multiple datasets to individual security masters is eliminated.
“With a security master in place, the CWIQ Platform empowers users to move from data exploration to execution at an extraordinary pace,” said Robert Martinez, CRO at Code Willing. “This collaboration eliminates bottlenecks and provides a seamless environment for building reliable trading signals.”
