Silvertide
Industry
Capital Markets
Use case
Silvertide Financial manages and analyzes large financial datasets, improving the speed and accuracy of trading strategy analysis.
Impact
Faster data retrieval Enhanced real-time analytics Improved scalability Reduced data management complexity Better client engagement through quick insights
Website
silvertidefinancial.com/Overview
Silvertide Financial is a specialized brokerage firm that provides institutional clients with optimized access to the derivatives market, focusing on delivering insightful trading strategies.
Silvertide Financial, a London-based financial brokerage, specializes in providing institutional clients with access to the derivatives market, focusing on fixed income instruments. They cater to hedge funds and asset management firms, offering a robust analytical platform to optimize trading strategies, assess market risks, and enhance execution efficiency.
Silvertide Financial faced challenges in managing and analyzing large volumes of financial data, including macroeconomic indicators and transaction records. Their previous setup, primarily using SQL Server and Excel, struggled with slow data retrieval and limited scalability, especially when dealing with complex analytics and back-testing across extensive historical datasets.
By adopting Timescale, Silvertide Financial significantly improved data retrieval times and overall platform performance. The integration of Timescale's compression and hypertable features enabled faster access to time-series data, streamlined the back-testing process, and enhanced the company's ability to provide real-time insights during client presentations. This upgrade has been crucial for maintaining the attention and trust of high-profile institutional clients.
Kirill Egorov, Head of Quantitative Analytics