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description=Learn about the KX Accelerator for Bloomberg B-PIPE;
author=KX Systems, Inc., a subsidiary of KX Software Limited;

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Text of the page (random words):
bloomberg b pipe overview accelerators skip to content accelerators bloomberg b pipe overview initializing search home get started accelerators how to apis examples releases accelerators home get started get started get started with accelerators prerequisites ice combined accelerator fsi accelerators overview fsi library overview accelerators accelerators about ice order book ice order book ice ob overview ice ob quickstart configure ice ob ice ingestion ice fixed income screener ice fixed income screener ice fi screener overview ice fi quickstart configure ice fi screener ice fi data ingestion ice fi historic data set up daily bar generation set up manual bar generation ice equities analytics ice equities analytics ice equities overview ice equities quickstart ingest market data order ingest pipeline results generation use a table other than order add custom analytics test custom analytics custom analytics developer guide configure using prevailing values order execution analytics configuration settings equities order analytic functions glossary query window adjustment factor bloomberg equities analytics bloomberg equities analytics bloomberg equities overview bloomberg equities quickstart ingest bloomberg market data order ingest pipeline use a table other than order results generation add custom analytics test custom analytics custom analytics developer guide configure using prevailing values order execution analytics configuration settings equities order analytic functions glossary query window adjustment factor bloomberg bpipe bloomberg bpipe bloomberg bpipe overview bloomberg bpipe overview on this page introduction use cases architecture and features further details bloomberg bpipe quickstart bloomberg bpipe feed install and setup bloomberg emrs feed install and setup bloomberg to insights enterprise user map bloomberg entitlements filter onetick us consolidated equities onetick us consolidated equities onetick us consolidated equities quickstart onetick us consolidated equities realtime pipeline onetick us consolidated equities historic pipeline onetick us consolidated equities data volume prep how to how to deployment and content configuration configuration in the fsi library use the accelerators set up daily pipeline execution apis apis api overview getticks getstats getbars getorderanalyticsummary generateorderanalytics customize getstats customize data for use with getbars api configuration api errors glossary examples examples cancellations and corrections extending accelerator apis utility functions releases releases overview ice order book release notes ice fixed income release notes ice equity analytics release notes bloomberg equity analytics release notes bloomberg b pipe release notes onetick volume prep release notes onetick us comp release notes fsi library release notes on this page introduction use cases architecture and features further details kx accelerator for bloomberg b pipe overview this page provides an overview of the kx accelerator for bloomberg b pipe use cases and architecture and features introduction this accelerator brings bloomberg b pipe data to kdb insights enterprise coupled with bloomberg emrs aware query and analytics capability all ingested tick level data is fully accessible and can be further queried using sql analyzed with enhanced accelerator apis using python or accessed from any downstream application through rest entitlements are applied on the accelerator apis as well as standard kdb insights enterprise getdata queries the entire accelerator can be configured and launched on an existing kdb ie installation in minutes quants business users and developers can get instant access to high quality bloomberg data paired with the power and performance of kdb insights enterprise all without a lengthy implementation project use cases the accelerator supports capital markets use cases where realtime data and tick by tick historical data is required such as real time visibility and analytics pattern trend analysis backtesting quantitative research pre and post trade analytics architecture and features the kx accelerator delivers a scalable performant architecture including a pipeline for ingesting l1 equities data from the kx b pipe feed handler bbg realtime l1 pipeline a pipeline for ingesting entitlement updates from the kx emrs feed handler bbgentitlements pipeline a pipeline for kdb insights enterprise to emrs user mapping bbgentpair pipeline schemas for quote and trade data for the above schemas for emrs updates the latest entitlement snapshot and user id mapping standard fsi accelerator analytic and query apis available through the fsi library kdb insights enterprise entitlement filter functions to apply emrs restrictions an insights view that includes tick and statistic retrieval charting an example jupyter notebook demonstrating python and rest api access further details for more information refer to the following documentation quickstart for details and setup guidelines for the accelerator market data ingest for details and setup guidelines for market data ingest filter functions for details and guidelines on entitlement filter functions back to top previous query window adjustment factor next bloomberg bpipe quickstart 2026 kx systems inc all rights reserved kx kdb x and kdb are registered trademarks of kx systems inc a subsidiary of kx software limited made with material for mkdocs insiders