Market Data Feed Handlers

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SUMMARY

Market data feed handlers are specialized software components that receive, decode, and normalize raw market data from exchanges and other venues into standardized formats for trading applications. They play a critical role in modern trading infrastructure by efficiently processing high-volume, real-time market data feeds while maintaining ultra-low latency.

Understanding market data feed handlers

Market data feed handlers serve as the crucial first point of contact between trading systems and real-time market data (RTMD). Their primary function is to transform venue-specific binary protocols into normalized formats that downstream trading applications can consume.

Key responsibilities include:

  • Protocol decoding
  • Message normalization
  • Sequence gap detection and recovery
  • Feed arbitration
  • State management
  • Performance monitoring

Feed handler architecture

Feed handlers typically implement a multi-threaded architecture to maximize throughput:

  1. Network reception thread(s)
  2. Protocol decoder thread(s)
  3. Normalization and enrichment thread(s)
  4. Distribution thread(s)

Protocol support and standardization

Feed handlers must support various market data protocols including:

Next generation time-series database

QuestDB is an open-source time-series database optimized for market and heavy industry data. Built from scratch in Java and C++, it offers high-throughput ingestion and fast SQL queries with time-series extensions.

Performance considerations

Feed handler performance is critical for trading systems, particularly for:

Latency management

  • Minimize processing overhead
  • Optimize memory allocation
  • Reduce context switching
  • Implement zero-copy architectures

Throughput optimization

  • Handle microbursts efficiently
  • Scale with market data volumes
  • Process multiple feeds simultaneously
  • Manage peak message rates

Market data quality

Feed handlers play a vital role in ensuring market data quality:

Data validation

  • Sequence number tracking
  • Message integrity checks
  • Timestamp validation
  • Field-level verification

Recovery mechanisms

  • Gap detection
  • Snapshot synchronization
  • Feed failover
  • Historical data replay

Integration with trading systems

Feed handlers must integrate seamlessly with various trading system components:

Market data distribution

  • Internal message buses
  • Multicast networks
  • Point-to-point connections
  • Data enrichment services

Trading applications

Monitoring and management

Effective feed handler operation requires comprehensive monitoring:

Performance metrics

  • Message latency statistics
  • Queue depths
  • Processing times
  • Resource utilization

Health monitoring

  • Feed status
  • Connection state
  • Error rates
  • Data quality metrics

Market data feed handler implementation

When implementing feed handlers, organizations must consider:

Infrastructure requirements

  • Hardware specifications
  • Network connectivity
  • Colocation services
  • Redundancy architecture

Operational considerations

  • Capacity planning
  • Disaster recovery
  • Configuration management
  • Version control

Feed handlers represent a critical component in modern trading infrastructure, where their performance and reliability directly impact trading system effectiveness and risk management capabilities.

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