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Financial Services

Analytics for Financial Modeling - Improve Wall Clock Time for Better Trading

High frequency trading has undergone a revolution through the application of predictive financial models to trading strategies, and success is measured by the fast execution of scientific model results. Leading quantitative trading companies are constantly seeking out new strategies to gain better market insight and improve trading outcomes. The teams who work in quantitative trading are among the best minds in math, computer science and engineering. As academics from major institutions they look for the most advanced technologies and techniques to develop a competitive edge. The constant evolution of new models presents a high level of unpredictability to the underlying infrastructure and requires a modern IT architecture that can handle the most demanding of storage workloads—data intensive and latency sensitive applications.

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  • High Performance for Algorithmic Trading, Portfolio Analysis, and Risk Management
  • Agile, Cloud-Based Solution with Automated Tiering and Cloud Bursting
  • Security, Data Protection, and Disaster Resiliency
  • Leveraging of Existing Infrastructure
  • On-Demand Scalability and Economy

5 Reasons to Deploy WekaIO Matrix in Your Financial Services Environment

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Worldwide Scale-out File-Based Storage 2019 Vendor Assessment