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CASE STUDY

Hardware-Based Market Data Processing

Enabled real-time ingestion, decoding, and transformation of high-volume market data feeds directly in hardware, reducing processing latency to tens of nanoseconds.

Situation

Market data feeds (e.g., compressed exchange feeds) required high-throughput decoding and processing. Software-based pipelines introduced delays in parsing, filtering, and reconstructing order books, limiting responsiveness to market changes.

Solution

A fully hardware-based market data pipeline was implemented within FPGA memory and logic. This eliminated intermediate software handling and enabled instantaneous visibility into market state.

OUTCOMES

Prepared signals
for latency-critical trading
12M msgs/s
hardware data path
$5.1M gained
faster signal response
85ns latency
feed to book

Challenges

Throughput

  • High-volume feed decoding
  • Software parsing delays

Latency

  • Order-book reconstruction lag
  • Slow signal visibility

Solutions

01

Direct Feed Ingestion

Ingested raw exchange data feeds directly into hardware.

  • Captured exchange feeds at wire speed
  • Removed software ingestion intermediaries
  • Enabled immediate processing availability
02

Inline Protocol Decoding

Performed inline decoding of compressed market data protocols.

  • Decoded feeds directly in FPGA logic
  • Eliminated CPU-based parsing overhead
  • Maintained deterministic processing latency
03

Wire-Speed Filtering

Filtered irrelevant data at wire speed.

  • Reduced downstream processing load
  • Prioritized actionable trading signals
  • Maintained constant pipeline throughput
04

On-Chip Order Books

Reconstructed full order books in on-chip memory.

  • Maintained persistent order book state
  • Eliminated reconstruction bottlenecks
05

Continuous Market Visibility

Maintained a continuously updated view of bid/ask dynamics.

  • Provided real-time liquidity awareness
  • Supported ultra-fast trading reactions
  • Improved signal responsiveness