At big xyt, we specialise in delivering granular, actionable insights into trading activity across asset classes and execution mechanisms. Recent market turbulence around “Liberation Day” offered a textbook case to showcase how our analytics uncover meaningful shifts in market microstructure – and how quickly the market can revert to normality after stress events.
We examined market activity in European equities and ETFs before, during, and after the volatility spike on Monday, 7 April. The findings provide fascinating insights into trader behaviour, venue dynamics and execution choices during high-volume sessions.
The equity markets saw a sharp surge in activity, with average daily traded volumes (ADVT) doubling from 101 billion EUR to 205 billion EUR on the Monday following Liberation Day.
This spike had an immediate impact on market structure:
Key takeaway: The market structure flexed in response to volatility, but quickly reverted to pre-event norms once conditions stabilised – a testament to the resilience and adaptability of equity market infrastructure.
ETFs experienced an even more dramatic relative surge in activity, with ADVT jumping from 16 billion EUR to 43 billion EUR – nearly tripling in one day. Yet, despite the jump, market structure changes were far more muted compared to equities.
Key takeaway: The ETF market structure remained remarkably stable, demonstrating a robust framework for absorbing volume shocks without major structural dislocations. The continued climb in CLOB usage reflects broader shifts in trader preferences and infrastructure development.
These patterns are not just interesting – they’re instructive. They highlight how execution behaviours shift in response to volatility, and how infrastructure choices (lit vs. dark, RFQ vs. CLOB) reflect trader needs for immediacy, transparency or discretion.
big xyt’s Trading Analytics platform empowers participants to monitor these shifts in real time, optimise strategies and anticipate emerging trends. The Liberation Day event offered a valuable opportunity to validate our approach – and reaffirm the need for data-driven decision-making in today’s complex market ecosystem.
To learn how you can stay ahead with intelligent insights into trading behaviour, get in touch with our team.