big xyt
Use Case: Sell-side TCA
big xyt
Use Case: Sell-side TCA
Firm type:
As a benchmark to reference realised (post-trade) vs estimated (pre-trade)
It empowers decisions around portfolio construction
It empowers traders’ conversations with portfolio managers
It empowers traders’ conversations with their brokers (risk vs agency)
It empowers conversations between portfolio managers and the end clients/investors
In-house, however this is not independent and is potentially inaccurate if using the wrong “denominators’ from the market; if buy-side this is not a key strength or focus so the uplift can be quite heavy to do it well
Using brokers for pre-trade risks leaking information about future trades
Battles over ‘desktop real estate’ mean that this information should ideally be called into the trading blotter by API web services
Some firms are tied to one vendor for a long time which limits flexibility and innovation in the marketplace.
Web-based application with rich visualisations and API access to liquidity analytics of global markets
Our ability to deliver custom calculations into the trading blotter from an independent and non conflicted source is powerful, and unique
Our API is immediately available for those firms with in-house capability to use it
The onboarding process involves understanding your data model, file transfer, and demonstrating that our solution is as at least as good, if not better, than you may have already
Is your current pre-trade TCA provider (if you have one) truly independent?
For the buy-side, reduces the need to rely on calls to broker web services with potential information leakage
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