Partial fill probability quantifies the chance that an order achieves less than its intended size over a specified window. It matters for schedules that depend on steady progress and for traders balancing urgency against impact.
Higher probability implies greater completion risk and potential opportunity cost.
Drivers include depth-at-levels, incoming market order flow, and quote stability. Venue rules, hidden liquidity, and matching priorities shape how resting interest is consumed.
Large notional relative to recent capacity raises the odds of partial outcomes.
Traders set thresholds for acceptable partial risk and adapt tactics when estimates exceed limits. Options include widening the time window, increasing aggressiveness, or diversifying venues to raise completion odds.
Risk frameworks compute expected remaining size and potential catch-up cost if progress stalls.
Methods track historical completion rates by size, venue, and time of day, with controls for volatility and spread. Real-time models incorporate current depth and refill speed to update odds during execution.
Validating estimates against realized outcomes helps refine models and avoid stale assumptions.