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taetaehoho

@0xtaetaehoho
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taetaehoho@0xtaetaehoho·21d

Do Liquidity Rewards on PMs Work? ... Only if They're Huge!

Taetaehoho analyzed liquidity rewards on Polymarket and sponsorships on Kalshi from February to May 2026, finding they only move top-of-book liquidity when daily spend exceeds 1% of existing book depth—below that, median programs show no effect. Even at higher intensities, incentive size poorly predicts actual liquidity response; pre-existing conditions like spread width matter more. The thesis: prediction market liquidity requires structural innovation beyond rewards alone.

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taetaehoho@0xtaetaehoho·30d

Sportsbooks vs Prediction Markets - Market Structure and its Effects

taetaehoho compares sportsbook and prediction market pricing across identical events, finding that liquid prediction markets offer 100-300 bps better prices than sportsbooks even after accounting for 150-175 bp fees, but de-vigged sportsbook odds match prediction market prices, suggesting counterparty information and last-look advantages tighten spreads more than maker competition does. Long-tail markets on Polymarket and Kalshi suffer 10-50% spreads versus <$1,000 volume, indicating anonymity and market immaturity create depth problems sportsbooks have solved at scale.