

Prediction markets are having their moment. Monthly notional volume across the sector crossed $13 billion in December 2025, up more than 100x from early 2024, and Bernstein now projects the category could hit $1 trillion annually by 2030. What was once a niche for political forecasters has become a legitimate asset class – traded by retail users, studied by the Federal Reserve, cited alongside traditional polls, and courted by ICE and Goldman Sachs.
Below are five tools that define the space right now, each solving a different piece of the problem.
The largest crypto-native prediction market, built on Polygon and settled in USDC.e. Polymarket cleared over $22 billion in 2025 volume and became the platform the world watched during the US election cycle. Its cleanest case study: in October 2024, a French trader known as "Théo" wagered roughly $30 million on a Trump victory, commissioning his own neighbor-polling surveys after noticing a gap traditional polls had missed. He walked away with an estimated $80 million. Polymarket's implied odds ended up closer to the outcome than almost every major pollster.
That episode is often cited as proof that markets beat experts, but the reality is more nuanced. Market prices do not replace polls – they aggregate them, along with private research and contrarian conviction, into a single probability weighted by capital at risk. Polls measure stated intent. Markets measure revealed belief.
The same episode raised concerns about whether a single large wallet could buy the outcome it wanted. Théo's position did move prices short-term, but a 2026 study found that price-impact fell by more than an order of magnitude as volume grew, and counter-traders stepped in precisely when whales pushed. Size gets the first move. Liquidity and time get the last one.
Pros: deepest global liquidity; broadest market catalog; battle-tested on major events. Cons: requires self-custodial wallet and USDC.e on Polygon; US access is intermediated-only; geoblocked in a growing list of countries.
If Polymarket is the crypto-native flagship, Kalshi is the regulated one. Founded in 2018, it became the first CFTC-designated contract market for retail event contracts – the same regulatory category that governs CME. Its federal status allows Kalshi to operate across all 50 US states even where sports betting is illegal, and Bank of America's April 2026 analysis put its share of US prediction market volume at 89%. In March 2026, the company raised $1 billion at a $22 billion valuation.
The product is familiar to anyone who has used a derivatives exchange: a quote-driven orderbook, contracts priced between 1 and 99 cents, institutional market makers on both sides. What makes Kalshi interesting is less the UX than what CFTC approval unlocks – a path for pension funds and banks to allocate to event contracts through the same infrastructure they use for futures.
Pros: federally regulated with segregated customer funds; institutional-grade liquidity; fiat rails with no crypto onboarding. Cons: active state-level legal challenges in Nevada, Ohio, Arizona, and others; sports contracts restricted in several jurisdictions; limited presence outside the US.
Phemex is a different kind of entry – not a standalone prediction market, but a centralized crypto exchange that built its event-trading vertical directly on top of Polymarket's infrastructure. The recently-launched Phemex Prediction Market routes Polymarket's Polygon-based liquidity through a familiar CEX interface, with a 500-millisecond execution engine handling the front end.
The relevance is structural. Polymarket's contracts have always been accessible in principle to anyone with a self-custodial wallet and USDC.e on Polygon – but that stack assumes a Web3-native user. Phemex users transact from a standard exchange account in USDT or USDC, with no wallet setup, no bridging, and no gas fees. Instead of building an isolated orderbook, the product taps directly into Polymarket's existing liquidity pool, preserving tighter spreads on the contracts that matter. It is one concrete example of how Polygon's scalability is being repackaged for audiences that never interacted with a Layer-2 directly.
Alongside the launch, Phemex is running a four-week campaign with a prize pool, bonuses, and loss protection. Traders compete in weekly PnL and ROI leaderboards, with rankings resetting each week.
Pros: no wallet, no bridging, no gas – trading works like spot or futures; USDT and USDC both supported; direct access to Polymarket's global liquidity. Cons: not available to users in the US, UK, and a handful of other jurisdictions – a standard CEX compliance limitation rather than a product issue.
Limitless is the fast-money venue. Built on Coinbase's Base chain with a central limit order book, it specializes in ultra-short-duration markets – 30-minute, 60-minute, and sub-ten-minute contracts on crypto prices, macro prints, and near-term events. The platform cleared $500 million in cumulative volume by late 2025 and raised $10 million from 1confirmation, DCG, Coinbase Ventures, and Arrington Capital ahead of its LMTS token launch.
What Limitless proves is that prediction markets do not have to be slow. Most of the category runs on weeks-to-months resolution; Limitless runs a parallel thesis where the product is high-frequency exposure with binary payoff and no liquidation risk.
Pros: instant settlement with no liquidation risk; CLOB-style UX; purpose-built for short-duration trades. Cons: Web3-native onboarding still required; narrower market breadth; less suited for long-horizon positions.
Myriad, built by DASTAN (parent company of Decrypt and Rug Radio), takes the opposite end of the spectrum: prediction markets embedded directly inside media. Readers see live Myriad contracts next to articles they are reading – on the platform, on X, in a browser extension. Over 511,000 users have placed more than 5 million predictions since the March 2025 launch.
Myriad also exposes something the rest of the category tends to hide: the line between markets that reflect reality and markets that shape it has gotten thin. Prices aggregate what readers believe; coverage references those prices as a sentiment indicator; readers update beliefs in response. Myriad collapses that loop into a single interface.
Pros: frictionless media-embedded UX; AMM model works at thin liquidity; lowest participation barrier in the category. Cons: shallower liquidity than Polymarket or Kalshi; less suitable for large positions; full experience depends on the browser extension.
Prediction markets will not replace polls, derivatives, or news media – they sit alongside all three, with a different strength: a continuously updating, capital-weighted probability curve for almost any question that can be resolved. The tools above represent five different bets on where that curve gets consumed – regulated exchanges, crypto-native venues, CEX integrations, high-frequency platforms, and embedded media. The winner is not one of them. The winner is the category itself.
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