As an independent reference for Equity market structure, big-xyt leverages its comprehensive Consolidated View of the market to provide execution analytics.
Execution Analytics ranges from basic Transaction Cost Analysis (TCA) requirements – benchmarking trades and orders for best execution, compliance and client reporting, through to providing full API access to the most sophisticated quantitative modelling functions for exchanges, sell-side and buy-side analysts.
Being able to access normalised data and a growing list of standard and custom benchmarks bring all the cost and time saving benefits of outsourcing to a universally recognised external provider.
Be the driver and let us be the data mechanics
Best Execution & Compliance
Benchmark trades and orders meeting regulatory requirements.
Respond quickly and offer transparency with convenient access to your clients.
Optimize Trading and Execution
Most sophisticated quantitative modelling through data and analytics APIs.
Analysis by venue, by broker, by strategy.
Control the TCA process with seamless integration, API access, CSV delivery, PDF reports and interactive dashboards
Embed big xyt Execution Analysis into existing workflows.
Client-order, parent-order, unfilled orders, custom benchmarks, white-label reports
As a privately owned company, our clients see big xyt as an unbiased and objective provider of data analysis.
Benchmark results can be provided via a variety of delivery mechanisms including our API and unique web-based visualisation tools.
All benchmarks are fully documented and can be verified with the underlying tick data.
All our products are distributed across regions, servers and data centers, i.e. our products are delivered through a reliable setup.
Looking at analysis over time rather than snapshot allows the user to perform bespoke execution analysis.
We reduce the Total Cost of Ownership. Our technology team are focussed on collecting, curating and delivering analysis that each our clients would require a team of 2+ people to support – in addition to the cost of raw data and infrastructure. We have a subscription pricing model.