Historically, traders have relied on metrics such as trading volume and order book depth to assess exchange quality. However, as AI-driven strategies become more dominant, these indicators are proving insufficient.
In fast-moving markets, algorithmic systems can rapidly place and cancel orders, creating what appears to be deep liquidity while reducing actual executable volume. This often results in slippage and inconsistent fills, particularly during high-volatility periods.
Zoomex noted that this disconnect is becoming more visible as execution speed and order book stability come under pressure from increasingly sophisticated trading systems.
A Zoomex representative commented:
“What we are seeing is a structural shift. Visible liquidity can no longer be treated as reliable. In an AI-driven market, what matters is whether liquidity can be executed consistently in real time.”