Overview
The LSEG Data and Analytics Integration enables Genesis applications to seamlessly connect with LSEG’s Data and Analytics Platform, providing access to real-time market data, historical pricing, analytics, and financial news. This integration allows financial institutions to leverage high-speed, low-latency data for trading, risk management, and portfolio analytics while ensuring compliance with industry standards.
Features & Capabilities
Real-Time Market Data Streaming: Access live pricing, quotes, and trade data from LSEG’s Data and Analytics feed.
Historical Data Retrieval: Fetch historical pricing and time-series data for back testing and analytics.
Instrument & Security Master Data: Query comprehensive reference data on financial instruments.
News & Events Feed: Subscribe to breaking financial news and economic event updates.
Efficient Data Filtering & Aggregation: Retrieve only relevant data using predefined filters and API queries.
Technical Highlights
- Integration with APIs: Supports Real-Time (RTSDK), Message API (EMA), and SDK for data access.
- Low-Latency Streaming: Optimized for high-speed data transmission with minimal lag.
- Secure Authentication: Uses API Key authentication for secure access to LSEG’s Data and Analytics platform.
- Data Transformation & Normalization: Converts data into structured formats for seamless integration with Genesis applications.
- Logging & Monitoring: Tracks API requests, data consumption, and error handling for compliance and debugging.
Extensibility
- Multi-Source Data Aggregation: Can integrate with additional market data sources like Bloomberg, ICE, and FactSet.
- Custom Data Processing Pipelines: Supports real-time analytics, enrichment, and trade signal generation.
- Scalable for High-Frequency Trading (HFT): Suitable for algo trading and market-making applications.
Related Technologies
Algorithmic Trading Platform: Uses low-latency data for automated trading strategies.
Portfolio Risk Management: Leverages analytics to assess portfolio exposure and market risk.