Introducing KX Feedhandlers
- KX Feedhandlers act as the interface between raw market data and trading, risk, or analytics systems by ingesting, structuring, and distributing high-quality, normalized data in real time
- Deliver clean, low-latency data through pre-packaged pipelines, enabling integration into trading, analytics, and risk systems
- Support multi-asset ingestion across equities, FX, fixed income, crypto, and more, providing a unified, high-performance foundation for real-time decision-making
Benefits
Accelerate integration
Connect to data sources faster with pre-built connectors and ready-to-use pipelines.
Clean, structured data
Normalize and enrich incoming data for immediate use in analytics and modeling.
Ingest multi-asset data
Support equities, FX, fixed income, crypto, and more with flexible schema mapping.
Always up to date
Stay ahead with automated schema updates and built-in support for market changes.
Low-latency performance
Ingest and process real-time and historical data with microsecond-level speed.
Deploy anywhere
Run in the cloud, on-premises, or hybrid environments with high availability.
How do KX Feedhandlers work?
Ingest, normalize, and enrich real-time data from exchanges, financial institutions, and alternative sources using configurable schemas and symbology mapping.
1. Ingest and normalize
- Connect to global exchanges, trading venues, and market data providers
- Stream real-time, historical, and reference data across asset classes
2. Transform and process
- Apply automated schema mapping, symbology normalization, and enrichment
- Ensure data accuracy with built-in validation and quality checks
3. Distribute and analyze
- Deliver structured data to dashboards, trading models, and execution engines
- Enable high-performance real-time queries and AI-driven analytics
Explore KX Feedhandlers
The Bloomberg Feedhandler delivers low-latency access to real-time equities, fixed income, futures, FX, crypto and derivatives data. It also supports integration with Bloomberg’s EMRS to manage data access and compliance.
Key capabilities
- Real-time L1 tick data across multiple asset classes
- Built-in support for Bloomberg data entitlements (EMRS)
- Pre-configured pipelines for fast deployment
This Feedhandler delivers high-quality L1 and L2 data from Activ Financial (Options IT), including options, equities, FX, and structured products. Built for latency-sensitive environments, it supports volatility modeling and complex instrument analysis.
Key capabilities
- Full-depth order book access
- Configurable for options chains and volatility surfaces
- Real-time streaming for structured product desks
This Feedhandler supports Level 1 and Level 2 market data from LSEG (formerly Refinitiv/Reuters), including equities, fixed income, commodities, FX, and derivatives. It’s built for desks that require both top-of-book and full-depth data views.
Key capabilities
- L1 and L2 tick-level data
- Multi-asset support with normalized schemas
- Integrated audit trails for compliance reporting
Purpose-built for FX trading environments, this Feedhandler ingests real-time quotes and execution data from MaxxTrader’s global FX liquidity network. It supports high-frequency FX execution and smart routing.
Key capabilities
- Multi-tier FX liquidity data
- Seamless integration with execution platforms
- Optimized for real-time FX trade monitoring and pricing
ICE® Consolidated Streaming Data supports Level 1 and Level 2 market data from LSEG (formerly Refinitiv/Reuters), including equities, fixed income, commodities, FX, and derivatives. It’s built for desks that require both top-of-book and full-depth data views.
Key capabilities
- L1 and L2 tick-level data
- Multi-asset support with normalized schemas
- Integrated audit trails for compliance reporting
The FIX Feedhandler supports real-time ingestion of post-trade data using the FIX Drop Copy protocol. It captures execution reports, order confirmations, and trade receipts—enabling firms to monitor and react to trades as they happen.
Key capabilities
- Ingests trade confirmations and execution reports in real time
- Ideal for post-trade analysis, compliance, and risk management
- Designed for easy integration with trading and surveillance systems
Ready to get hands on?
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KX Community
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Documentation
Technical documentation to help you get started with KX Feedhandlers.
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Frequently asked questions
KX Feedhandlers are built on kdb+, offering nanosecond-level latency, making them the fastest feedhandler solution available. Unlike traditional ETL pipelines or batch processing tools, KX processes data in real-time, ensuring immediate insights.
Yes. KX Feedhandlers process millions of events per second with minimal resource overhead, ensuring high-throughput performance without lag—even during peak trading hours or extreme market volatility.
Our solution is designed for horizontal and vertical scaling, whether deployed on-prem, in the cloud, or in hybrid environments. It efficiently handles increasing data feeds while maintaining performance.
Yes. Unlike other solutions that require separate infrastructure for real-time and historical processing, KX allows users to query both datasets in a single environment, reducing complexity and improving analytics efficiency.
KX Feedhandlers can be deployed natively in any cloud, leveraging Kubernetes-based scaling for cost efficiency while maintaining ultra-low latency performance.
Feedhandlers use real-time data normalization and enrichment techniques, ensuring structured and error-free data ingestion. Built-in audit trails and logging maintain transparency and compliance.
Yes. Our feedhandlers detect and correct duplicate records, missing timestamps, and inconsistent symbols before the data reaches your analytics or trading systems.
Streamline market data ingestion with ultra-low latency performance built on kdb Insights Enterprise.
Our team can help you to:
- Ingest and normalize multi-asset data from global sources in real time
- Simplify feed integration and reduce development and maintenance overhead
- Connect to your stack with support for Python, FIX, REST, and cloud-native APIs
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