Accelerated Algorithmic Trading

Low-Latency Electronic Trading for Everyone

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Learn how the Xilinx Accelerated Algorithmic Trading system, powered by Alveo accelerator cards, can help you reduce the latency for all your trading applications.

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Take a deep dive into the Accelerated Algorithmic Trading system and learn how to adapt the system to your trading solution. 

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Download Xilinx’s Accelerated Algorithmic Trading system now – for free.

Breaking the Microsecond Latency Barrier

Financial trading firms need continuous latency improvements to stay competitive. Most trading strategies are implemented in software on CPUs - incurring additional latency from traversing the PCIe bus.

Until now, transitioning to an FPGA-based trading strategy posed a challenge for software-based trading firms that lack FPGA development expertise - putting them at a competitive disadvantage.

The Xilinx Accelerated Algorithmic Trading (AAT) open-source trading system reduces the barrier to entry for software developers to quickly and cost-effectively implement sophisticated strategies on FPGAs – without FPGA in-house expertise. The AAT system addresses a broad range of algorithmic trading use cases for brokers, exchanges, market data vendors, sell-side vendors, and proprietary traders; while minimizing losses to HFTs.

The result - sub-microsecond latency, faster trades.


Software-Defined, Hardware-Accelerated Algorithmic Trading

  • Accelerate your time-to-market in weeks, not years
  • Zero license fees
  • CME tick-to-trade example designs
  • Open-source Xilinx Vitis® libraries support multiple use cases out-of-the-box
  • C/C++ programming, no FPGA coding required
  • Flexible, easy integration with “in-house” or 3rd party apps

Fast Deployment, High Performance

Optimize Your Algorithmic Trading In Weeks, Not Years Using C/C++ Programming - No FPGA Expertise Required

Development Time chart

Get 12x Better Latency Performance vs CPU Implementations

Latency performance

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Retain the Latency Edge with Xilinx Accelerated Algorithmic Trading