Two prediction market startups — Trepa and Fireplace — shut down within 90 minutes of each other in the sector's best year ever, as Kalshi and Polymarket absorbed 93.3% of volume. The postmortem's core argument: prediction markets behave like exchanges, not products, where liquidity begets liquidity and winner-take-most is the natural shape of the market. A sharp case that the standalone prediction market platform may already be a dead category — with four questions every new builder should ask first.

The CFTC's staff letter makes a novel argument: displaying event contracts in sportsbook odds format (minus 150, plus 200) can itself be a deceptive practice under Rule 180.1, even when every number on screen is accurate. A 60-cent contract and a minus-150 moneyline are the same trade, but the odds format hides the probability, the order book, and who is on the other side. On an exchange, competing traders set the price and the venue takes no position; at a sportsbook, the house writes the line and folds its margin into the number. Regulated exchanges and intermediaries must confirm receipt of the letter by August 31, and enforcement lawyers will know who was told.

Contrary Research delivers a comprehensive deep dive into the prediction market industry, tracing its history from the Iowa Electronic Markets through Kalshi and Polymarket's current dominance to the latest sportsbook entrants. The piece analyzes business models, regulatory classification debates, and the critical skew in win distribution that distinguishes prediction markets from sports betting.

Distinguishes between two meanings of 'hedge' — trader/market-making (position offset) and corporate finance (exposure matching) — and argues that prediction markets' contract-first approach creates persistent basis risk for would-be corporate hedgers. Warns that mis-selling mismatched binaries as corporate hedges would hand ammunition to regulators and undermine the CFTC's policy case for event contracts.

Argues that institutional adoption of prediction market event contracts will follow the same path as synthetic risk transfer in credit markets — not through convincing risk managers to hold naked binaries, but through structured product wrappers that plug into existing credit/yield mandates. Traces the €800bn SRT/CLN market as precedent, then presents Marex's April 2026 note tied to Kalshi event contracts (up to $10M, 7% coupon if Nvidia remains largest company) as the first clear signal of this trend.

Develops and estimates a volatility model tailored to binary prediction markets, combining a Wright-Fisher deadline-resolution component (capturing how binary uncertainty resolves over time) and a Glosten-Milgrom order-flow component (capturing volatility from informed trading via spreads and volume). Using a large panel of Kalshi contracts, finds that structural specifications dominate plain ARCH/GARCH benchmarks, and combining the structural model with residual GARCH dynamics gives the best forecasts. Volatility is highest near fifty-fifty prices, rises near resolution, and varies across categories with the timing of information arrival.

Deep-dive analysis of Polymarket International's likely blockchain migration as it pursues CFTC compliance. Covers three technical migration paths — mirror-and-cutoff, dual chain instances, and sunset switchover — along with changes to KYC requirements and dispute resolution mechanisms. Argues dual chain instances are the most probable outcome, balancing compliance with continuity.

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.

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.

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.

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.

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.

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.

Argues that value in prediction markets is generated not at settlement but through the ongoing process of liquidity allocation and repricing. Explores how prediction markets differ from traditional markets at the microstructure level — the key distinction being the representation of the asset, not the mechanism — and how their bounded outcome space makes them composable, enabling liquidity to attach to things that previously had value but no market.

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.

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.

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.

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.