With the launch of the AEP v5, the underlying platform which powers Quod Financial's buy- and sell-side adaptive trading applications, it completed a series of end-to-end benchmark tests. The benchmarks were conducted in the fasterLAB, using a test harness to replicate the complexity of fragmented liquidity in order to measure latency, performance, and prove the robustness of Quod Financial's AEP v5 and ASOR 2.0. The testing included management of inbound orders, pre-trade validations and risk checks. A series of scenarios were used encompassing decisions upon aggressive/passive liquidity seeking algorithm with different market data rates.

The results showed that Quod Financial's AEP v5 is able to take complex execution decisions and proved its stability where a high-throughput is still achieved in 100 µs. Robustness was displayed through the tests, where latency was shown to be stable whatever the market conditions; the deviation of latency was never greater than 10% whatever the volume. Thereby, enabling end-to-end execution on par with the best performing markets, ensuring reaction and execution in the most challenging market conditions as well as the fastest technologies.

"Quod Financial are continually investing in research and development and we will carry on our collaboration with Intel in order to optimise the latency and performance of the platform said Mickael Rouillere, CTO of Quod Financial. We are delighted we selected Intel as our test centre, fasterLAB have verified the enhancements of AEP v5 and Quod Financial have set new standards in terms of latency scalability and throughput."

Nigel Woodward Worldwide Director, Financial Services at Intel Corporation comments "we are delighted to support the testing of Quod Financial technology on our latest processors. Working with the community of solution providers is a vital part of the Intel business model in financial services, and here Quod Financial have demonstrated that their software has the performance and agility to respond to today's multi venue market in acceptable best execution timeframes. Low latency is important across the trade value chain, and these results from Quod Financial reflect a solution optimised between both hardware and software."