The client was an institutional asset manager running multi-strategy portfolios for enterprise and high-net-worth clients. The firm wanted to improve responsiveness during market anomalies by automating dynamic hedging actions and shortening the time from signal detection to strategy execution. To achieve this without locking into rigid tooling, the firm partnered with Zymr to build an algorithmic trading module with configurable automation and real-time performance visibility.
The firm needed an engine that could monitor market conditions, detect anomalies, and execute hedging strategies quickly across portfolios without creating operational complexity. Automation had to be configurable, allowing strategy teams to adjust rules and scripts without lengthy redevelopment cycles. The platform also needed strong visualization and real-time analytics so stakeholders could understand performance, validate behavior, and refine strategies continuously. Above all, execution speed had to improve meaningfully while preserving control and transparency.
Zymr helped the asset manager move from slower, manual response patterns to faster, automation-driven execution without sacrificing control. The algorithmic engine improved responsiveness during market shifts, strengthened portfolio protection capabilities, and gave teams the tooling to iterate strategies quickly with clear performance visibility.
Zymr developed an algorithmic trading module that combined configurable automation, real-time analytics, and clear visibility into strategy outcomes.