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nxFeed

nxFeed is an FPGA-based market data processing solution that significantly reduces latency and streamlines application development.

Description

nxFeed is a high-performance, FPGA-based market data processing solution designed to streamline the development of market data applications. It processes raw data feeds from various exchanges, arbitrating, decoding, normalizing, and building order books on an FPGA-based NIC. This significantly reduces application processing resources and latency, allowing developers to focus on core business logic. nxFeed offers flexible deployment options, including PCIe for in-application integration or UDP multicast for distributed environments. Its ease of use, combined with a simple C++ API, makes it a powerful tool for enhancing trading applications and in-house ticker plants.

Features

FPGA-based architecture for low latency processing. Handles raw market data from multiple exchanges. Arbitrates, decodes, and normalizes data. Builds order books. Supports both PCIe local delivery and UDP multicast over Ethernet distribution. Provides a simple, normalized C++ API. Includes software simulators to aid development. Offers features like TCP-based remote application resynchronization, centralized dictionary management, and live monitoring counters and latency statistics. Supports filtering by message type, book depth and symbol.

Benefits

Reduced market data processing latency and server footprint compared to software-based solutions. Increased overall performance by reducing network and server load. Flexible deployment options (PCIe or UDP multicast). Simple and easy-to-use C++ API. Easy integration with new or existing applications. Faster time-to-production for market data applications. Scalable from single-server to multi-site trading infrastructures. Consistent and transparent performance regardless of deployment method. Offers features typically reserved for software solutions, including centralized dictionary management, application administration, and live monitoring.

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