Client Need
The front office trading team at this premier investment banking firm relies on real-time market events information (corporate actions, key economic indicator announcements) combined with internal proprietary data (models, analytics) to make swift and differentiated investment decisions at a leading global financial services firm. Their ability to anticipate and act quickly in the market sets them apart as an industry leader.
The challenge was to create a cutting edge macro economics dashboard application that would enable traders to quickly make informed decisions by managing risk and identifying new trading strategies. The application needed to support sophisticated charting, statistical analysis, a highly interactive experience, and real-time data feeds to meet high service level expectations.
The challenge was to create a cutting edge macro economics dashboard application that would enable traders to quickly make informed decisions by managing risk and identifying new trading strategies. The application needed to support sophisticated charting, statistical analysis, a highly interactive experience, and real-time data feeds to meet high service level expectations.
What OpenCrowd Did
- With a deep understanding of financial markets, we collaborated closely with our client to pull internal and external resources together to create a cross-product, real-time data analysis application.
- With our understanding of RIA tools (auto filtering & screening, charting & annotation), we designed an innovative user-friendly interface that brings all of the information required to make informed decisions together into a single easy to use consolidated application.
- Using both open and commercial source technologies, OpenCrowd developed a custom application that supports, real-time event processing, fully customizable front-end, and proprietary data integration. Functional prototypes were delivered within 4 weeks of design conception allowing the client to rapidly refine requirements, and add new features.
Outcome
- Synthesis of market events, data, proprietary models and real-time analytics fosters improved decision-making.
- Simple "view and do" approach allows faster responses to incoming information with "action" points integrated into the analytic framework.
- Rationalization of numerous, seemingly unrelated, data sets encourages new correlation and testing strategies to uncover market opportunity.
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