The intuitive visual interface enables complex market microstructure analysis without requiring data science expertise. This democratises access and empowers trading, execution, and strategy teams to self-serve analytics.
A visual no-code analytics application for benchmarking liquidity, venue quality and market fragmentation across global equities and ETFs
BMLL Vantage solves the core problems slowing down trading analytics: resource bottlenecks, technical barriers, and credibility gaps.
No-code access to institutional-grade analytics
The intuitive visual interface enables complex market microstructure analysis without requiring data science expertise. This democratises access and empowers trading, execution, and strategy teams to self-serve analytics.
Collaborate & share insights across teams
Built-in collaboration features enable teams to share, comment on, and export charts and data into Excel - supporting seamless research and client reporting workflows. Integrates with BMLL Data Lab and BMLL Data Feed for advanced bespoke analysis.
Independent data that wins trust
Comprehensive order-book and trade-level analytics from an impartial third party - from trade volumes classified by type to market quality indicators.BMLL provides neutral, third-party market structure data trusted across the ecosystem.
Collaborate & share insights across teams
Built-in collaboration features enable teams to share, comment on, and export charts and data into Excel - supporting seamless research and client reporting workflows. Integrates with BMLL Data Lab and BMLL Data Feed for advanced bespoke analysis.
Built for your workflow
Analyse single stocks, custom portfolios of stocks or entire markets. Create and toggle between analytical views and pre-canned reports tailored to your needs. Leverage a library of pre-built views for inspiration across diverse trading and liquidity scenarios.
Route smarter across fragmented markets
You need to optimise order routing across dozens of venues, but lack visibility into where liquidity really lies - and how it shifts over time.
Reduce slippage and transaction costs by routing to venues with proven liquidity for your order profile - defend your routing decisions with independent data you can trust.
Prove your venue quality to win flow
Brokers and buy-side firms demand proof that your venue offers competitive spreads, depth, and execution quality - but in-house analytics can’t provide that comparison.
Win trust and onboarding decisions by showing that your venue delivers superior execution, validated by an independent source.
Win clients with independent market evidence
Clients ask tough questions about market share, venue quality, and execution performance - but you're stuck between anecdotes and internal analytics that lack credibility.
Close deals faster by answering client questions with credible, visual evidence - without data science resource bottlenecks.
Time auction execution to minimise slippage
Closing auctions and index rebalances create huge liquidity events - but predicting imbalances and price impact requires deep historical analysis you don't have time for.
Enter auctions with confidence, reduce adverse selection, and capture alpha during high-impact liquidity events.
Assess new markets before committing resources
Expanding into new regions or asset classes is expensive - but you lack visibility into market structure, venue landscapes, and liquidity dynamics before you invest.
Make informed go/no-go decisions on market expansion - backed by data, not guesswork.
Monitor market quality and investigate complaints without building infrastructure
You need to assess market quality, evaluate policy impacts, and investigate complaints about venue performance or best execution - but building surveillance systems is resource-intensive and relying on data from regulated entities creates conflicts of interest.
Make credible policy decisions and conduct independent market oversight using production-ready analytics
Accelerate insight generation with BMLL’s advanced historical trading analytics, delivering detailed visibility into liquidity and fragmentation dynamics or losing auction performance.