Afternoon desk: I’fe been profiling how different categories actually trade on @Xmarketapp and the microstructure isn’t the same Sports → lineup windows compress spreads hard in the last ~30 60m bwfore kickoff. Best edge is time-priority: post two-sided quotes a few bps off mid, let urgency lift you. In-play props show bursty crosses around subs/VAR; size tighter, recycle quickly Entertainment → rumor pops overshoot, then mean-revert if official channels stay quiet. Near-dated “by X date” markets reward wider NOs after emoji teases; tighten only when a named resolver posts. Keep size light, exits fast Policy/data → step-function repricing around fixed prints. Anchor to hard resolvers (stats bureaus, official sites), post resting quotes just outside mid pre-release, trim instantly oh the first cross, then re-center for the second wave What I changed: category-specific sizung, wider bands for rumor-driven markets, tighter bands for clock-driven ones, and strict resolver discipline across all If you’re treating every book the same, you’re missing half the edge. Which category is giving you the cleanest fills today