Research velocity playbook: Closing the research–execution gap

As market regimes shift more frequently and signal durability compresses, research velocity has become a structural constraint.

Many firms generate strong ideas, but friction across data access, validation realism, and production deployment slows the path from hypothesis to execution. In volatile markets, these delays reduce adaptability and increase opportunity cost.

This session explores the capabilities required to support faster iteration, realistic validation, and controlled deployment in live environments.

In this webinar, we explore:

• The structural causes of delay across signal discovery, validation, and execution
• The data and platform capabilities required to compress time-to-signal and time-to-validation
• How execution-aware validation reshapes research outcomes under live market conditions
• What a production-grade research architecture requires to support rapid iteration without compromising governance or control

We will also include demonstrations from ExeQution Analytics illustrating:

1. How structured analytics interfaces can safely democratize access to data, reducing schema dependency and reporting bottlenecks while preserving governance and control
2. How automated feature evaluation within the quant lifecycle accelerates signal testing and adapts more effectively to changing market regimes

Register here

Who Should Attend

This session is designed for professionals responsible for building, supporting, or operating quantitative research environments, including:

• Heads of Quant Research and Systematic Trading
• Portfolio Managers and Desk Leads
• Senior Quant Researchers and Data Scientists
• Trading Technology and Engineering Leaders
• CIOs and Heads of AI in Capital Markets

Meet the presenters: