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Reducing Complexity for Trading Speed and Efficiency - Case Study

Reducing Complexity for Trading Speed and Efficiency

Capital markets firms are constantly looking for better solutions to deal with the ever-increasing amounts of data they must manage, while striving to attain the lowest possible latency and reduce complexity in the trading lifecycle across their extensive networks. NYSE Technologies, the commercial technology unit of NYSE Euronext and leading provider of end-to-end electronic trading solutions, set out to meet these requirements for its clients. NYSE Technologies’ Trading-in-a-Box solution leverages advanced technology from industry leaders Intel and IBM in a solution that consolidates multiple tiers of a trading firm’s servers into a single server, delivering lightning-fast messaging and analytics, thereby providing dramatic gains in efficiency, reductions in latency, and increased productivity.

• Boost efficiency. Improve ability to process large volumes of information at high rates, speed execution and reduce latency.
• Reduce complexity. Simplify tasks to make them easier, reduce errors and save costs.
• Develop new trading strategies. Empower financial services firms with new ways to find market opportunities.

NYSE Technologies’ Trading-in-a-Box brings together NYSE Technologies’ industry-leading software solutions with Intel® Xeon® Processor 7500 Series and IBM System x3850* X5 64-core servers. The solution can be quickly and easily deployed in a liquidity-hub data center such as NYSE Euronext’s in New Jersey or the UK.

Read the full Trading Speed and Efficiency Paper.

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