MarketAxess expands intraday data on bond trading
MarketAxess expanded its market-data offerings with intraday analytics and transaction-level records, adding liquidity measures, dealer metrics and dashboard and API access.
MarketAxess expanded its market-data products this month, adding intraday analytics and transaction-level records drawn from its electronic trading platform and consolidated external feeds. The updates are available to clients under subscription.
The package provides time-stamped metrics including trade counts, average spreads, dealer response rates and measures of market depth on intraday intervals. MarketAxess combined anonymized trades from its network with consolidated market feeds to produce the analytics, and users can access results via interactive dashboards or programmatic APIs.
The offering includes sector and issuer-level breakdowns and anonymized counterparty metrics that show patterns in dealer interactions, average time-to-fill and liquidity by trade size. MarketAxess applies standard anonymization to remove participant identities while retaining fields used in execution analysis.
Target users include buy-side firms, dealers, execution desks, portfolio managers and compliance teams. MarketAxess described the tools as intended to help benchmark execution, assess intraday liquidity risk and support compliance and best-execution reviews with more granular records than end-of-day reports.
Clients can configure alerts and reports to monitor liquidity stress, unusual trading patterns or sudden spread moves. MarketAxess also made historical archives available for back-testing and multi-week comparisons, and it offers customized delivery for larger firms that require direct integration into trading systems.
The rollout follows steady growth in electronic bond trading and ongoing industry work on faster, consolidated reporting for fixed-income markets. The firm plans to distribute the expanded data suite through existing client channels and to support integration of the feeds with execution algorithms and risk systems as requested.








