Market Data Integration Guide
Learn how to build robust market data integration systems that can handle high-frequency data feeds efficiently. This guide covers feed handling, real-time processing, and data management strategies for trading systems.
Data Feed Integration
Feed Handlers
Connect and process market data feeds
Key Features
- Multi-protocol support
- Feed normalization
- Connection management
- Error handling
Data Quality
Ensure data accuracy and reliability
Key Features
- Data validation
- Duplicate detection
- Gap detection
- Timestamp analysis
Real-time Processing
Stream Processing
Handle high-frequency market updates
Key Features
- Event processing
- Message queuing
- Load balancing
- Latency optimization
Data Enrichment
Add value to raw market data
Key Features
- Derived calculations
- Technical indicators
- Statistical analysis
- Custom analytics
Data Management
Storage Solutions
Efficient data storage and retrieval
Key Features
- Time-series databases
- Data compression
- Archival strategy
- Query optimization
Data Distribution
Deliver data to consuming systems
Key Features
- Pub/sub systems
- WebSocket streams
- API endpoints
- Data filtering
Related Resources
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