ETF Solution
Utilising this core ETF solution alongside the highest quality reference data, big xyt offers four core ETF services
Peer Group
Selection
For selected instrument(s), identify the peer group using a multitude of fund data characteristics, such as underlying asset class, geographic focus, sector, sub-sector, replication type, fund domicile, income treatment and tracking benchmark.
Venue
Volumes
For selected instrument(s), reported volume from all regular markets (RMs), multilateral trading facilities (MTFs), incorporating Request for Quote (RFQ) volume along with all trade categories including OTC/SI transactions.
Venue
Spreads
For selected instruments, various spread metrics (in bps) are available, e.g. ‘At Touch’ best bid offer (BBO), Effective spreads at flexible trade sizes such as 25k EUR, 25kUSD or 100k USD, along with Spread Presence (period of sufficient depth in the order book as %).
Pre-trade
Analysis
Load equity basket(s) with holdings (or % weighting and NAV), to generate a pre-trade view on basket with individual instrument nominal, price, notional (in local and fund currency), weighting, % ADV and the average spread (bps).
Why does the industry use big xyt?
- Best data quality for secondary markets (reference for any external communication).
- Seamless integration with clients, e.g. direct connectivity for Tableau, Power BI or via Python API.
- Comprehensive functionality, e.g. market share, peer group analysis, market quality, pre-trade and post-trade analytics.
- Available T+1 or real-time).
- Flexible and tailored pricing for any size of business.
Value proposition for the ETF industry
- big xyt increases the transparency of trading in European ETFs, making the market more attractive for investors and thus supporting its further growth.
- Sales and marketing can easily produce high-quality material for external communication.
- Product development can analyse ETFs across all issuers and listings.
- Monitoring of Market Quality enables eye-level conversations with market makers and exchanges.
- Capital markets desks gain granular insights about liquidity, e.g. price movement on lit markets during RFQ trades.
Research
xyt Lab supports more in-depth quantitative research and provides a secure environment to enable data scientists to perform their own analytics on the most granular (Level 3) data which can be overlaid with their own private content, and provides convenience for Python users wanting to generate new metrics or to schedule regular delivery of results.
Real-time Analytics
Using our real-time analytics service firms can effectively monitor consolidated liquidity, including unexpected off-book trading activity, trades of unusually large size, pending trades and sudden increases in OTC volumes.
Access to big xyt’s Liquidity Cockpit for ETFs solution is available via a number of established engagement mechanisms:
Web-based Dashboards
Our dynamic dashboards provide simple, flexible views for interactive use, data download, custom design and white-label solutions.
Reports and Notifications
Pre-defined / bespoke reports managed directly via our dashboard or configured as scheduled reports, distributed via email and/or SFTP.
Data Feeds and APIs
Data extract via scheduled file delivery. Transfer batch files using SFTP, or utilise our API connectivity (essential for data science and quant teams).
Subscriptions
LITE
- GUI access to individual European domiciled ETFs
- T+1 venue volume and spread data in a single view
- Insights into ETF liquidity
- Prior 30 day view
PROFESSIONAL
- Return multiple ETFs
- Peer group compare
- Date range history (to 2 years)
- Daily volume + trade category
- Daily spread depth
- Insights into ETF liquidity
- Also available in real-time
ENTERPRISE
- As per ‘PROFESSIONAL’ plus
- Customised/scheduled reports
- Data/report extraction
- Data access via API or SFTP
- Visualisation technology such as Tableau/Power BI
- Pre-trade basket analysis
- Also available in real-time