Profiting from Extreme Processing: 5 Ways Financial Trading needs Speed to Succeed

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Speed equals profits and latency means losses for financial institutions, especially traders. Fast processing speeds are not only required for trade reconciliation but also for machine learning systems to analyze the risk of trading positions and to help predict future stock prices.

Speed, scalability and real-time analytics are crucial to execute trades in microseconds, and to complete more transactions quicker for increased profitability.

in-memory computing
Yoav Einav, VP Product at GigaSpaces

In-memory computing, where analytics are co-located with the data, provides the boost in speed that is critical to complete

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