kdb Products
Overview
KDB.AI
kdb+
kdb Insights
kdb Insights Enterprise
Capabilities
Anomaly Detection
kdb+ Time Series Database
Liquidity Management
PyKX Python Interoperability
The Data Timehouse
Vector Database Explained
Services & Support
Financial Services
Quant Research
Trading Analytics
Industry & IoT
Automotive
Energy & Utilities
Healthcare & Life Sciences
Manufacturing
Telco
Learn
Overview
Featured Courses
KX Academy
KX University Partnerships
Connect
KX Community
Community Events
Developer Blog
Build
Download
Documentation
Support
About Us
Partner with Us
KX Partner Network
Find a Partner
Partner Signup
Join Us
Connect with Us
With decades of combined experience at the sharp end of the Financial Services sector, the panelists discuss the various requirements that make up the perfect platform for trading analytics. In more detail, they’ll explore how a trading analytics solution should:
• Optimize trading outcomes
• Be futureproof
• Deliver Best Execution
The team discuss the opportunities for optimization and its dependency on finding value from multiple data volumes – and how repeatable any optimizations are. The panel also debate benchmarking, data management, application development, data pipelines, transparency, and more through real-world examples.
We’ll also have a deeper dive into how TCA can be utilized as a tool to help traders and data scientists better understand how their trades performed and can inform strategies for improvement.