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Sistema de Gestión de Floor Broker de DataArt para Nasdaq

El Sistema de Gestión de Floor Broker de DataArt fortalece las operaciones de Nasdaq, destacando el papel crucial de la tecnología en navegar las complejidades de la segunda bolsa de valores más grande del mundo.

Nombre de la compañía Nasdaq
UbicaciónEstados Unidos
IndustriaFinanzas
Nasdaq
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Maximized performance for the most complex and demanding market scenarios
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Lower TCO due to improved automation and monitoring
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Tighter integration with market surveillance for improved regulatory compliance
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Improved customer satisfaction

Client

Nasdaq, a leading securities exchange and a global leader in exchange technology, needed to modernize their Floor Broker Management System for the US options trading floor at the Philadelphia Stock Exchange. The modernization aimed to ensure robust performance, stability, and scalability while aligning with the broader trends in data analytics in finance.

Challenge

The existing technology the company had been using was not fully meeting the needs of the demanding user community, especially for complex order types and trader workflows that characterize institutional options trading. Nasdaq sought a solution that could integrate seamlessly with an insurance broker management system and other financial tools, providing traders with improved analytics capabilities.

Solution

Following a comprehensive technical assessment, the DataArt team of architects and expert developers re-engineered the front-end trading application using state-of-the-art technologies. The development focused on incorporating real-time data analytics in finance to empower traders with deeper insights and actionable intelligence, making the platform a critical decision-making tool.

The new system gives the traders a familiar and highly performant user interface featuring automated order and trade updates. It is able to meet the high demands of performance, stability, and resilience, including trading from mobile devices. The new application was designed and tested for heavy concurrent loads, and is capable of scaling easily to multiples of the current user base.

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