Prediction Markets: Trading on the Future
How binary contracts turn opinions into prices, why the crowd often beats the pundits, and how a crypto curiosity became financial infrastructure in under two years.
A prediction market pays $1 if an event happens and $0 if it doesn't, so its price is, quite literally, the crowd's probability. Turn a question into a contract, let thousands stake money on the answer, and the price becomes the sharpest forecast on the board.
What this argues
- Price equals probabilityThe binary contract is the whole trick.
- Markets beat pundits on averageCapital-weighted belief aggregates dispersed information.
- Two models, one duopolyOffshore-crypto Polymarket vs CFTC-regulated Kalshi.
- The law is the moatA federal licence, not technology, is the real barrier.
- Powerful, not infallibleThin markets, insiders and whales still distort the signal.
What has changed
Updated November 2026
Kalshi's volume overtook Polymarket's by a wide margin
The Block (26 Aug 2026) reported Kalshi trading volume of $40B in July 2026, against $12.9B for Polymarket and Polymarket US combined. A separate monthly tally put Kalshi at about $38.7B in August (down about 4%), with Polymarket's core platform at $4.59B, down from $7.89B in July after the World Cup ended (crypto-economy.com, Sep 2026; secondary source, treat as indicative).
Kalshi raised at $22B and is reported in talks near $40B
- A Form D filed with the SEC in August 2026 showed about $1.12B of equity sold since 3 April, out of a roughly $1.5B offering (The Block, 26 Aug 2026).
- The Series F of $1B, led by Coatue with Sequoia, Andreessen Horowitz, IVP, Paradigm, Morgan Stanley and Ark Invest, valued Kalshi at $22B (The Block, Aug 2026).
- The Information reported in August 2026 advanced talks for a $750M round at $40B; this had not closed in the sources read.
- Polymarket was reported (WSJ and CNBC, 2026) to be discussing a raise of about $1B at a valuation above $20B; unconfirmed.
The Third Circuit sided with Kalshi
On 6 April 2026 the Third Circuit ruled 2-1 that the Commodity Exchange Act likely preempts New Jersey gambling law for sports event contracts on a CFTC-licensed exchange, treating them as swaps (Finance Magnates and Legal Sports Report, 2026).
The Ninth Circuit ruled against Kalshi, creating a circuit split
On 28 Aug 2026 a unanimous Ninth Circuit panel (KalshiEX v. Assad) held Nevada can enforce its gaming law against Kalshi's sports contracts; election contracts were remanded. The CFTC said the ruling 'teed up a circuit split that calls out for resolution by the Supreme Court' (Finance Magnates, Sep 2026). Kalshi has sought en banc rehearing; no decision was found.
New Jersey asked the Supreme Court to step in
New Jersey filed a cert petition on 2 Sep 2026 asking the Court to review the Third Circuit's decision, the first such request from either side. Kalshi's response was due within 30 days; the Court had not said whether it will take the case in the sources read. Even if granted, a ruling would not come before the next term (Finance Magnates, Sep 2026).
Regulators and tribes widened the fight
- In August 2026 the CFTC invoked emergency authority under the Commodity Exchange Act to keep Kalshi's exchange open despite New York's attempt to shut it down (Finance Magnates, Sep 2026).
- On 16 Sep 2026 the Ninth Circuit held in a separate tribal case that two California tribes were likely to succeed on a claim that Kalshi sports contracts entered from tribal lands violate the Indian Gaming Regulatory Act (secondary press reports).
Not refreshed: Polymarket and Kalshi cumulative notional volumes in the platform comparison and chart (2025 Dune data), the 2030 volume and sports-share projection, the Robinhood and Coinbase account counts, the accuracy and manipulation case figures, and any outcome after mid-September 2026 (en banc rehearing, Supreme Court action, closing of the $40B and $20B-plus rounds).
How to Read This
Orientation
How to read this deck
- Price is the argument: a contract that pays $1 if an event happens trades at its probability.
- Follow the money, not the mouth: these markets aggregate belief backed by capital, not opinion.
- Every figure is dated: volumes, valuations and rulings move weekly; data is to Feb 2026, with the main later developments to Oct 2026 collected in the first chapter.
- Signal, not oracle: markets are treated as one powerful input, and the places where they fail are named.
The New Signal
Revealed preference over stated opinion
Polls measure what people say. Prediction markets measure what people are willing to bet.
When belief has to be backed with money, cheap talk gets expensive, and the signal gets honest.
Why a market knows more than any expert
- Hayek, 1945: 'The Use of Knowledge in Society'. Information is dispersed; no central planner can gather it.
- Prices as information: the current price condenses millions of private views into one number.
- Incentive compatibility: staking capital forces people to reveal what they actually believe.
- Skin in the game: being wrong costs money, so noise and wishful thinking get punished.
From expert consensus to market consensus
| Pundits & polls | Prediction markets | |
|---|---|---|
| Who speaks | a few credentialed voices | thousands of stakes |
| Failure mode | groupthink, no downside | error is punished in cash |
| Structure | hub-and-spoke: a handful of forecasters broadcast opinions | mesh: thousands of financially-motivated traders continuously price the truth |
How a market lives and dies
- List the contract: an exchange defines a verifiable question and its resolution rule.
- Trade YES / NO: buyers of YES want the event; buyers of NO want it not to happen.
- Price discovers: the price moves with every trade to reflect collective odds.
- Settle at $1 or $0: at the deadline the contract pays out on the verified outcome.
The market called it while the polls stayed frozen
View the data
| Trump, Polymarket | |
|---|---|
| Jan | 40 |
| Mar | 43 |
| May | 48 |
| Jul | 60 |
| Sep | 54 |
| Oct | 62 |
| Nov 5 | 100 |
Source: Polymarket (2024) · values read from the chart, approximate
Prediction markets can take all these disparate opinions that people are pontificating about, or that they have really good reason to believe, and distil it down into one probability.
Shayne Coplan, CEO of Polymarket, 60 Minutes, December 2025
The Mechanism
How the contract actually works
A contract at 65 cents is a 65% forecast
Three contract shapes cover almost everything
- Binary: all-or-nothing. Buy YES at $0.60; win $1.00 or lose it all. The standard.
- Categorical: a bundle of binaries, mutually exclusive outcomes, winner-take-all.
- Scalar (legacy): pays along a range, not just 0/1; mostly deprecated for liquidity.
- The underlying: the 'asset' is an event, such as an election, a rate cut or a playoff berth.
- The premium: the price you pay for the contract; your maximum loss on YES.
- The expiry: the deadline at which reality resolves the bet to $1 or $0.
A derivative, not a lottery ticket
- What it is: a contract whose payoff depends on an underlying, here a future event.
- Why it matters: as a derivative it falls to the CFTC, the futures regulator, not gaming law.
- The old lineage: the CFTC's roots trace to 1840s grain futures; event contracts are the newest branch.
- The dividing line: regulation is what separates a licensed exchange from illegal gambling.
The same contract, two very different machines
| Centralized (Kalshi) | Decentralized (Polymarket) | |
|---|---|---|
| Truth source | federal APIs (BLS, NOAA) | UMA token-holder oracle |
| Settlement | instant, centralized clearing | smart contract on Polygon |
| Speed if disputed | operator resolves | hours-to-days if challenged |
| Key risk | single point of failure | oracle / coordination attacks |
| Best for | institutional hedging | censorship-resistant, global access |
Two ways a trade actually gets filled
| AMM: automated market maker | CLOB: central limit order book | |
|---|---|---|
| How | a formula quotes both sides | bids and asks matched like a stock exchange |
| Upside | always instant, even with no counterparty | true prices, tight when liquid |
| Cost | big orders push price against you | thin books can be empty, no fill |
| Used by | early Polymarket, thin markets | Kalshi always; Polymarket since '23 |
In a thin market, size moves the price against you
View the data
| Price impact | |
|---|---|
| $500 | 7 |
| $5,000 | 11 |
| $50,000 | 20 |
Source: Polymarket order-book mechanics; illustrative (est.)
The Landscape
Protocols, institutions and aggregators
Who does what in the value chain
| Layer | Role |
|---|---|
| 05 Protocols | decentralized base layer; run the markets on-chain (Polymarket). |
| 04 Institutions | regulated exchanges with clearing and custody (Kalshi, ForecastEx). |
| 03 Aggregators | distribution: apps that route retail order flow (Robinhood, Coinbase). |
| 02 Oracles & clearing | the plumbing that verifies outcomes and settles cash. |
| 01 Market makers | professional liquidity providers who quote both sides for a spread. |
Polymarket vs Kalshi: one contract, two philosophies
| Polymarket | Kalshi | |
|---|---|---|
| Model | decentralized protocol (Polygon) | CFTC-regulated exchange (DCM) |
| Notional volume | ~$54B | ~$42B |
| Valuation | $9B (Oct 2025 ICE deal); talks above $20B reported, unconfirmed | $22B (Series F, Coatue-led, 2026); talks at ~$40B reported |
| Backers | ICE, Founders Fund, Polychain | Sequoia, a16z, Paradigm |
Two platforms carry the vast majority of volume
View the data
| Notional volume | |
|---|---|
| Polymarket | 54 |
| Kalshi | 42 |
| All others (est.) | 12 |
Source: Dune (2025); 'all others' is an estimate
Sports, not politics, is the growth engine
View the data
| Share of projected volume | |
|---|---|
| Sports | 44 |
| Politics & elections | 20 |
| Macro / crypto | 22 |
| Culture & other | 14 |
Source: Estimate from Dune, CNBC (2026)
Regulatory standing versus liquidity
A two-axis map plots US-regulated status (horizontal) against liquidity and volume (vertical). Polymarket and Kalshi sit at the top, with Kalshi furthest right on regulation. Robinhood and ForecastEx / IBKR sit in the lower right (regulated, smaller). Crypto-native venues sit at the lower left (offshore, thin) and PredictIt sits at the bottom, just left of the US-regulated midline (thin). Quadrants are labelled: offshore and liquid, regulated and deep, offshore and thin, regulated and small.
How the incumbents entered in 2025
| Firm | Entered | The move |
|---|---|---|
| Robinhood | Jan 2025 | 24M funded accounts; acquired LedgerX |
| Coinbase | Dec 2025 | 100M users; bought The Clearing Company |
| DraftKings | Dec 2025 | sports DNA; acquired Railbird |
| FanDuel | Dec 2025 | built on CME infrastructure |
The Coming-Out & the CFTC Fight
How 2024 changed everything
For eighty years prediction markets were an academic curiosity. In one election night, they became mainstream.
The 2024 US presidential race was the category's coming-out party, and its accuracy left the pollsters looking flat-footed.
The markets moved before the polls, called swing states days early, and nailed the outcome while prognosticators hedged. As one political economist put it: 'all the polls and prognosticators were left in the dust, nobody came close to the markets.'
Skeptics said it would fade; instead it compounded
A log-scale line chart of monthly notional volume (Feb '25, Jun '25, Sep '25, Oct '25, Nov '25, Dec '25, Jan '26) rises almost in a straight line.
What actually caused the exponential growth
- Regulation: Kalshi v. CFTC and the dropped appeal gave a clear legal path to operate.
- Liquidity: AMMs, order books and instant settlement cured the thin-market problem.
- Access: ICE, Robinhood, Coinbase, DraftKings, FanDuel put it in front of 100M+ accounts.
- Legitimacy: an accurate election call converted skeptics into users and investors.
- Capital: billions in venture and strategic money followed the legal certainty.
- Culture: cable news now scrolls market odds; the price became a news product.
The liquidity flywheel
- More traders join
- Deeper liquidity
- Tighter spreads
- More reliable prices
- More attention & trust (and the loop returns to more traders joining)
The fifteen months that institutionalised the category
- Kalshi v. CFTC: federal court rules prediction markets are regulated exchanges, not gambling.
- The election call: markets beat the pundits on a national stage.
- CFTC drops appeal: legal status cemented; the investment wave begins.
- QCEX acquired: Polymarket buys a CFTC-licensed exchange to come onshore.
- ICE invests $2B: NYSE's parent backs Polymarket at a $9B valuation.
- Record ATH: weekly volume tops $6B, up ~10x year-on-year.
The legal fight is far from over
- Federal: Kalshi v. CFTC established preemption; CFTC issued first formal guidance March 2026 and in Aug 2026 invoked emergency authority to keep Kalshi's exchange open against New York.
- State: 20+ lawsuits and cease-and-desist orders, mostly over sports contracts.
- The split: Massachusetts ruled against preemption (Jan 2026); Nevada and NJ upheld it.
- The ladder: the Third Circuit sided with Kalshi (Apr 2026) and the Ninth Circuit against it (Aug 2026); New Jersey has petitioned the Supreme Court.
Beyond Politics
Corporate and policy applications
Once you can price any verifiable question, prediction markets stop being about elections and start being about everything.
The vision the founders talk about is blunt: financialise every difference of opinion into a tradable asset.
In 'Kalshi and the Rise of Macro Markets', Fed researchers found these markets 'provide a high-frequency, continuously updated, distributionally rich benchmark that is valuable to both researchers and policymakers.' When the central bank starts citing your price, you are no longer a novelty.
Game Point Capital hedges NBA playoff bonuses
| Traditional OTC insurance | Kalshi prediction market | |
|---|---|---|
| Mechanism | manual underwriter negotiation | transparent, exchange-traded |
| Process | standard policy issuance | instant execution on open market |
| Premium | 12-13% quoted | ~6% secured |
| The trade | opaque bilateral contract | buy YES on 'team makes playoffs' |
| Verdict | slow, opaque, expensive | fast, transparent, ~half the cost |
Companies can trade their own hidden knowledge
- The gap: engineers spot risks (tech debt, supply delays) months before executives hear of them.
- The trade: staff bet virtual credits on 'Project X ships by Q4'; anonymity removes the fear of bad news.
- The result: internal markets at Google and Ford beat official project leads by ~25% on accuracy.
- The payoff: leadership gets an early termination signal and can reallocate before a crisis.
Where this ripples beyond finance
- Media: as prices become the default probability, journalism shifts from opinion to price-reporting.
- Insurance: event contracts can hedge liabilities cheaper than policies (disintermediation risk).
- Campaigns: candidates already manage their own market odds as a comms strategy.
- Reflexivity: a market watched closely enough starts shaping the outcome it measures.
- Policy: central banks and agencies get a live, high-frequency read on expectations.
- Treasury: corporates could manage event risk alongside FX and rates.
The Risks
Manipulation, gambling and accuracy
Insider knowledge plus thin liquidity is a live threat
Better than polls, but the variance is wide
View the data
| Accuracy | |
|---|---|
| PredictIt (2,500+ mkts) | 93 |
| Polymarket | 67 |
| Combined model (est.) | 96 |
Source: arXiv (2024 election accuracy study)
Prediction markets live on a spectrum
- Slot machine (pure gambling): no skill, pure chance.
- Sports parlay: entertainment-led.
- Thin event market: manipulable, retail-heavy.
- Deep macro market: priced by informed capital.
- Fed-cited benchmark (information market): genuine information good.
The interface that drove adoption is also the risk
- Low barrier: a smartphone and a bank account, indistinguishable from a betting app to many.
- Young and male: usage skews to 18-25 year-old men, where problem-gambling rates are rising.
- The regulatory gap: the CFTC oversees market integrity, not consumer protection or addiction.
- The scale risk: at trillions in volume with heavy sports exposure, this becomes a public-health question.
What the price does and doesn't tell you
| What it tells you | What it hides | |
|---|---|---|
| Probability / The why | the crowd's capital-weighted estimate, live | the price never explains its own reasoning |
| Speed / Completeness | it updates the instant news arrives | thin markets may not price all information |
| Depth signal / Who's trading | high volume means a more reliable read | well-informed or merely well-capitalised? |
| Direction / Whale risk | which way informed money is moving | one big trader can move a thin market |
The Outlook
Where does it go from here
In under two years, prediction markets went from crypto casino to a new layer of the global financial stack.
The compounding of liquidity, access and legal certainty is what moved them from experiment to infrastructure.
AI agents are already becoming the main traders by volume. One bot turned $313 into $438,000 through cross-market arbitrage; analysis of 86M bets found ~70% of markets resolve NO, a bias bots systematically exploit. If algorithms dominate liquidity, do prices still reflect human consensus, or just machine efficiency?
The deeper currents that prediction markets ride
- Institutional trust collapse: pollsters missed 2016, 2020, 2024; markets fill the credibility vacuum.
- Decentralized information: social media disrupted news distribution; markets disrupt its interpretation.
- AI-accelerated pricing: agents compress the lag between event and price toward zero.
- Financialising information: any verifiable difference of opinion becomes a tradable asset.
- Retail on-ramps: 100M+ accounts already hold the app that trades these contracts.
- Global fragmentation: different winners inside and outside the US as regulation diverges.
Why the US market ends with 2-3 winners
| Factor | Detail |
|---|---|
| 05 The licence is the moat | only Kalshi, ForecastEx and Polymarket (via QCEX) hold DCM status. |
| 04 The cost of entry | ~$100M+ in legal and compliance to obtain and defend a federal licence. |
| 03 The lobby | Kalshi, Robinhood and IBKR formed the Coalition for Prediction Markets (Dec 2025). |
| 02 The endgame | a legal war chest big enough to fight 20+ state battles forces consolidation. |
| 01 The distributors | aggregators keep partnering with the licensed winners for a fee. |
Reference
Glossary & sources
Plain-language glossary
| Term | Meaning |
|---|---|
| Prediction market | an exchange for contracts tied to future events. |
| Event contract | the regulatory term for a prediction-market derivative. |
| DCM | Designated Contract Market, a federally-licensed exchange. |
| AMM / CLOB | the two ways trades fill: a pricing formula, or an order book. |
| Binary contract | pays $1 if an event happens, $0 if not; price = probability. |
| CFTC | the US regulator for derivatives: futures, swaps, event contracts. |
| Oracle | a system that feeds real-world outcomes to a smart contract. |
| Preemption | the doctrine that federal (CFTC) law overrides state gambling law. |
The long-term vision is to financialise everything and create a tradable asset out of any difference of opinion.
Tarek Mansour, CEO of Kalshi, Citadel Securities Future of Global Markets Conference, 2025
Sources & further reading
- Polymarket; Kalshi: platform data, contract specifications and disclosures (2024-26).
- Dune Analytics; CNBC: prediction-market volume and share data (2024-26).
- Kalshi v. CFTC: federal ruling and CFTC guidance (2024, 2026).
- Federal Reserve: Diercks et al., 'Kalshi and the Rise of Macro Markets' (Feb 2026).
- Hayek, F.: 'The Use of Knowledge in Society' (1945).
- arXiv: 2024 election prediction-market accuracy study.
- The Block; Reuters; Forbes; Futurism: use-case and manipulation reporting (2025-26).
- Figures marked 'est.' are compilations of the above.
Sources cited
Dune · CNBC · Polymarket · Kalshi · Hayek (1945) · CFTC · Northwestern · UMA docs · Bloomberg · Sequoia · ICE · DeFi Rate · State filings · Court records · The Block · Game Point Capital · Federal Reserve · SciCast.org · ResearchGate · Reuters · Forbes · Futurism · arXiv · National Council on Problem Gambling · FDU Poll · IMDEA · Finbold · Coalition for Prediction Markets · The Block, Aug 2026 · Finance Magnates, Sep 2026 · Legal Sports Report, 2026 · WSJ, 2026 · The Information, Aug 2026 · SEC Form D (Kalshi), Aug 2026 · Crypto Economy, Sep 2026
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Research, not investment advice. Figures as of , from the sources cited.
Legal information and disclosures
These are my own views as of the update shown on this page. They can change without notice, and I have no duty to update them. Past performance does not indicate future results, and any investment can lose money.
This is for education only. It is not investment, legal, tax, medical or accounting advice, and it is not an offer to sell or a solicitation to buy any security in any jurisdiction. It does not consider your goals or circumstances.
Figures from company filings, public agencies and other third parties are believed to be reliable, but I have not independently verified them and cannot guarantee them. Forecasts and anything marked as an estimate rest on assumptions that may prove wrong.
Please do not copy or republish this material without my written consent.