market structure

The organization and stratification of prediction market platforms into distinct layers — rails (settlement/execution), wrappers (distribution/user access), and product archetypes — and the competitive dynamics between them.

Cluster: Business & Platforms

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Articles about market structure

Concepts/market structure

market structure

Business & Platforms

The organization and stratification of prediction market platforms into distinct layers — rails (settlement/execution), wrappers (distribution/user access), and product archetypes — and the competitive dynamics between them.

Referenced in 10 articles

Articles

The Event Is the Market: Today Is a Turning Point for Prediction Markets
Rashan A. Colbert·Jun 10, 2026·I·Commentary

The CFTC's recent event contract proposal marks a turning point for prediction markets as a new financial asset class, argues Rashan Colbert. Legal classification will determine whether event contracts develop as gambling products or as legitimate event-risk infrastructure for institutions and protocols. Part one of a planned summer series from the former dYdX and Senate policy lead.

The Race to Trade Everything
Will Owens·Jun 9, 2026·II·Platforms

Galaxy Research breaks down Hyperliquid's HIP-4 protocol upgrade and positions it as the arrival of a third major prediction market model alongside Polymarket and Kalshi. Compares the three on infrastructure, fees, UX, oracle design, and regulatory posture across a 35-minute deep dive with live market data.

Solving the Gap in Prediction Market Liquidity: Passive Deposits, Order-Book Execution
XO Labs·Jun 5, 2026·II·Microstructure

XO Labs publishes the first in a planned series on XO Vaults, a passive liquidity design that bridges the gap between CLOB platforms and pooled liquidity in prediction markets. It analyses three existing liquidity models and identifies a structural gap: platforms with best execution have no passive product, while platforms with passive deposits lack order-book execution. The article proposes a five-factor vault allocation algorithm with circuit breakers designed to protect against informed trading.

The Microstructure of Conditional Prediction Markets: A Theory of Selection, Multiplicity, and Mode Collapse in Futarchy
Balbinder Singh Gill·Jun 4, 2026·III·Fundamentals

This is the most formal treatment of futarchy's microstructural challenges to date, modeling how selection bias and equilibrium multiplicity emerge from the joint information structure of action and outcome beliefs. The paper's central insight — that on-chain wallet transparency creates a cross-market welfare channel with a narrow interior optimum — has direct implications for how conditional prediction markets should be designed on blockchain venues.

Beyond the Odds: What Prediction Markets Miss
functionSPACE (by @0xdominus)·May 30, 2026·II·Fundamentals

Binary prediction markets compress continuous probability distributions into yes/no outcomes, discarding variance, skew, and tail information that forecasters naturally produce. functionSPACE analyzes 622 mutually exclusive bracket events on Polymarket and finds that less than half price a coherent probability distribution. The piece argues for continuous market design as the primitive that finally matches how both institutional analysts and prediction market traders actually reason about uncertainty.

Do Liquidity Rewards on PMs Work? ... Only if They're Huge!
taetaehoho·May 21, 2026·II·Microstructure

taetaehoho runs an empirical analysis of Polymarket's liquidity rewards and sponsorships, finding they can tighten spreads only when daily spend exceeds roughly 1% of the existing book. Even above that threshold, incentive size barely predicts which markets respond; pre-existing liquidity conditions and pre-trends are far stronger determinants of uplift than reward intensity.

Option Markets vs Binary Markets vs Continuous Markets
MO·May 7, 2026·II·Design

MO compares three market architectures for expressing shaped beliefs: binary prediction markets, options structures, and continuous prediction markets. The article traces the distribution gap from the Black-Scholes era through modern crypto markets and argues that continuous payout curves replace the workarounds traders currently use.

Who Wins and Who Loses In Prediction Markets? Evidence from Polymarket
Pat Akey, Vincent Grégoire, Nicolas Harvie, Charles Martineau·Apr 7, 2026·II·Microstructure

The first comprehensive empirical look at who actually profits on Polymarket and who doesn’t. Analyzing 588 million trades and $67 billion in volume, the paper finds the top 1% of users capture 76.5% of profits through disciplined limit order strategies, while the bottom 90% lose money taking liquidity with market orders. The authors also examine and ultimately rule out insider trading as an explanation for the largest winners’ performance.

The State of Prediction Markets
blocmates·Apr 1, 2026·II·Commentary

Maps the prediction market landscape as a stack war between crypto rails (Polymarket), regulated rails (Kalshi), and execution wrappers (Coinbase, Robinhood). Argues the sector is stratifying into product archetypes rather than converging on a winner-takes-all outcome, with TradFi incumbents pushing standardized binaries that fit existing market structure.

Prediction Markets Won’t Replace Sports Betting Platforms Anytime Soon
Grace Deng·Nov 25, 2025·II·Platforms

Grace Deng from SevenX Ventures compares prediction markets against sports betting incumbents like DraftKings across product, business model, and legal dimensions. Parlay complexity gives traditional sportsbooks a structural advantage that orderbook-based platforms cannot easily replicate. The article argues that convergence rather than replacement will define the next phase—hybrid models where PMs and sportsbooks interoperate.