Pricing and liquidity
Learn how market makers quote prices, absorb order flow, manage inventory, and keep markets tradable even before a large crowd of participants arrives.
Math and mechanics behind market makers and pricing.
3 articles
Updated weekly
Algorithmic market design shapes how prediction markets behave under uncertainty. These articles unpack scoring rules, automated market makers, liquidity curves, and the trade-offs behind pricing mechanisms.
Learn how market makers quote prices, absorb order flow, manage inventory, and keep markets tradable even before a large crowd of participants arrives.
Different algorithms optimize for different outcomes: lower slippage, stronger solvency guarantees, simpler UX, or better capital efficiency. This category compares those trade-offs directly.
A deep comparison of fixed, dynamic and hybrid liquidity models for prediction market AMMs — with trade-offs, subsidy math, and guidance on which to c...
A deep dive into the LSAMM algorithm — how it prices outcomes, scales liquidity with volume, and stays solvent under any market load. With math, code...