Independence and accuracy, combined with the transparency we provide on the underlying data, is at the core of our Open TCA offering.
This is seen as essential by our clients to improve workflows and optimise trading strategies.
We harvest, store and normalise those global granular data sets, and with our transaction cost analysis platform, Open TCA, we provide the tools to interrogate them in order to estimate your pre-trade costs, benchmark your trading when you executed, and calculate the cost when you did not.
Why do our clients choose Open TCA?
With no external ownership, and no conflicted trading function, big xyt’s data analytics are completely unbiased.
Our innovative approach, domain expertise and transparent methodology means you have everything at your fingertips, from a standard TCA report, to an API to facilitate the latest machine learning techniques and apply them to your trading datasets.
From POC to production and beyond, our technical support is designed to be an extension of your team. By partnering with big xyt, you gain the accurate insights you need, whenever you need them.
Our clients report 97% ACCURACY in finding trades.
How many exceptions do you have with your current TCA provider?
As winners of A-Team’s TradingTech Insight Awards for Best TCA Tool 2020 and The Trade’s Leaders in Trading Outstanding TCA Provider Award 2019, we’re fast becoming known as one of the best TCA providers in the financial services community.
Pre-trade Modelling and Estimation
Understand your expected market impact for single stocks or portfolios.
Optimise Trading and Execution
Empower the execution feedback cycle by tracking the effect of changes to execution strategy and aggression in parallel with broker and venue selection.
Optimisation and Modelling
Apply a more systematic approach to execution strategy evaluation by leveraging sophisticated quantitative models (proprietary or managed by our team) through flexible APIs.
Best Execution and Compliance
Benchmark trades to demonstrate execution quality and meet regulatory requirements. Spot outliers and identify fill level breaches based on client-specific policies.
Schedule regular standard or bespoke client reports. Generate ad hoc custom reports or provide white-labelled access to visualisation tools for your clients to interrogate themselves.
Broker Evaluation and Venue Analysis
Compare benchmark performance by broker and strategy. Review venue quality and access according to custom criteria. Observe the impact of changes to algo wheel configuration.
Be the driver and let us be the data mechanics
Over 120 markets covered with the necessary history and granularity. Our methodology is applied consistently to provide reliable and comparable results.
Control the transaction cost analysis process with seamless integration, API access, CSV delivery, PDF reports and interactive dashboards.
Embed big xyt Open TCA execution analysis into existing workflows – pre and post-trade.
Client-order, parent-order, unfilled orders, custom benchmarks, white-label reports. Analysis by region, by country, by sector, by market capitalisation, by client, by fund, by venue, by broker, by strategy, by trader, it’s up to you.
* Normalised data across regions, venues and condition codes
As a privately owned company, our clients see big xyt as an unbiased and objective provider of data analysis.
Our products are distributed across multiple regions, data centres and servers, providing reliable and resilient environments for our clients. Regular security reviews ensure conformance to the current industry standards for data security.
Benchmark results can be provided via a variety of delivery mechanisms including our API and unique web-based visualisation tools, along with file delivery such as PDF or Excel.
Looking at analysis over time rather than snapshot allows the user to perform consistent, comparative execution analysis.
All benchmarks are fully documented and can be verified with the underlying tick data.
We reduce the Total Cost of Ownership. Our technology team are focussed on collecting, curating and delivering analysis that any of 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.