Trade Surveillance

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SUMMARY

Trade surveillance is the systematic monitoring and analysis of trading activity to detect potential market manipulation, insider trading, and other violations of trading rules and regulations. It combines real-time monitoring, pattern recognition, and historical analysis to maintain market integrity and meet regulatory requirements.

Core components of trade surveillance

Trade surveillance systems continuously monitor multiple data streams to detect suspicious trading patterns and potential violations. Key components include:

Market data monitoring

Order analysis

Alert generation and management

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.

Key surveillance patterns

Modern trade surveillance systems monitor for various forms of market manipulation:

Price manipulation

Trading behavior analysis

Real-time monitoring requirements

Effective trade surveillance demands high-performance infrastructure:

Data processing capabilities

  • Real-time data ingestion of market data
  • Processing of multiple asset classes
  • Historical data analysis
  • Pattern matching across time series

Performance considerations

  • Low-latency alert generation
  • Scalable processing architecture
  • High availability requirements
  • Data retention compliance

Regulatory framework

Trade surveillance operates within a complex regulatory environment:

Key regulations

  • Market manipulation rules
  • MiFID II requirements
  • Rule 15c3-5 compliance
  • Best execution obligations

Reporting requirements

  • Suspicious activity reporting
  • Regulatory audit trails
  • Investigation documentation
  • Compliance reporting

Trade surveillance continues to evolve with market structure changes and technological advances, requiring systems to adapt to new patterns of manipulation and regulatory requirements while maintaining high performance and accuracy.

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