Follow-through rates are especially important because they distinguish visible activity from reliable engagement. A participant may appear active by viewing markets or submitting indications, but the more useful measure is whether that activity converts into executable behavior under protocol rules. The platform’s Waterfall and intelligence layers can track the progression from request, quote, order, amendment, match, and clearing event, creating a structured record of how consistently participants move from expressed interest to completed execution.
Participant ranking should therefore be understood as a behavior-weighted framework, not a popularity score. The logic can account for measurable actions such as response frequency, quote competitiveness, market improvement, executable follow-through, fulfillment of obligations, interaction with residual liquidity, and consistency across trading sessions. Because OMeT captures workflow events, timing, and state changes as part of execution, the ranking model can be built from observed market behavior rather than subjective broker memory or relationship preference.
The strategic value is a cleaner feedback loop for liquidity formation. Market makers can understand how their engagement compares with peers, requesters can identify where genuine executable interest tends to form, and OMeT can monitor the health of the marketplace through anonymized activity data. Internal materials note that OMeT supports personalized real-time Waterfall views for participant activity and anonymized data for all OMeT-X activity, allowing the platform to generate intelligence without exposing sensitive participant-level intent unnecessarily.
