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VoltDB for Capital Markets
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Hedge funds, brokers, money managers and advisors are under increasing pressure to make better decisions, faster, in a climate of increasing regulation. Speed is a competitive necessity. Algorithmic trading, pre-trade compliance, trade strategy back-testing, real-time risk analysis and trade order processing systems all require high-throughput, low-latency database operations. Home-grown database systems, once a competitive advantage, are now giving way to solutions like VoltDB that deliver blazing transaction throughput at single-millisecond latencies, and support a wide range of real-time analytics. Capital markets applications that can exploit VoltDB’s breakthrough performance include: |
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Trade order processing. Processing trades and deals efficiently requires a high throughput, low latency infrastructure. The database supporting these operations must be seamlessly scalable to meet volume fluctuations and must also be able to perform complex operations on in-flight data, including the computation of real-time analytics. |
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| VoltDB uniquely delivers the throughput needed for high velocity trade order processing applications. It’s in-memory architecture supports millions of ACID transactions per second at single-millisecond latencies. And VoltDB’s shared nothing scale-out design assures you that you’ll have plenty of headroom for growth. |
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Real-time trade compliance and alerting. In the current regulatory environment, risk measurement and compliance management are crucial. Order flow must be continuously monitored for compliance with regulatory and fund-specific requirements. Supporting applications must be capable of identifying potential risk and compliance violations, and appropriate alerting systems must be notified in real-time. |
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| VoltDB allows you to compute real-time metrics across trading regions, desks and asset classes. Using advanced VoltDB features such as materialized views, you can calculate real-time profits/losses based on current positions, executions and external market data. |
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Transaction Cost Analysis. TCA is integral to the trade process, providing portfolio managers and traders with quantitative tools for measuring trade performance, optimizing execution, controlling costs and streamlining operations. By comparing contemplated and actual transaction costs, investors can measure, monitor and manage trade “slippage”. |
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| VoltDB delivers the ideal database foundation for a broad range of TCA applications. Its in-memory architecture and materialized views allow trade execution to be compared, in real-time, against benchmarks defined by model, broker, sector, trader, portfolio manager or any other appropriate metrics. And VoltDB’s relational model allows you to easily integrate 3rd party data – such as broker pre-trade cost estimates, post-trade analytics, and independent benchmarks – with your in-house analytic data. |
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| Follow the steps below for a quick introduction to VoltDB. If you'd prefer to jump directly to our main downloads page, you'll find a complete list of downloadable resources here. | |||
Read the VoltDB Technical Overview
This white paper covers VoltDB architectural concepts, identifies popular use cases and positions VoltDB within the broader database landscape. It’s provides a great introduction to VoltDB.
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