← All research Research · Markets and money · No. 27

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.

Chapters
10
Reading time
32 min
Updated
~$53BMonthly volumeJul 2026: Kalshi $40B + Polymarket $12.9B; Q1 2026 peak week ~$6B
>$4.2B2024 electiontraded on Polymarket + Kalshi
~$1TProjected 2030annual volume; sports ~44%
2024The turning pointKalshi v. CFTC legalised the category

What this argues

  1. Price equals probabilityThe binary contract is the whole trick.
  2. Markets beat pundits on averageCapital-weighted belief aggregates dispersed information.
  3. Two models, one duopolyOffshore-crypto Polymarket vs CFTC-regulated Kalshi.
  4. The law is the moatA federal licence, not technology, is the real barrier.
  5. Powerful, not infallibleThin markets, insiders and whales still distort the signal.
00

What has changed

Updated November 2026

$40BKalshi volume, Jul 2026The Block, Aug 2026
$12.9BPolymarket + Polymarket US, Jul 2026The Block, Aug 2026
$22BKalshi valuationSeries F led by Coatue, disclosed May 2026
3-0Ninth Circuit vote against KalshiNevada case, 28 Aug 2026
July 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).

May to Aug 2026

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.
April 2026

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).

August 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.

September 2026

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).

August to September 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).

Test yourself

Two federal appeals courts reached opposite conclusions on Kalshi's sports contracts. What does that most directly set up?

Kalshi traded $40B in July 2026 and Polymarket plus Polymarket US traded $12.9B. Roughly how do they compare?

00

How to Read This

Orientation

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.

Test yourself

What is the right way to treat a prediction market price, according to this orientation?

A contract that pays $1 if an event happens is trading at 30 cents. What does the deck say that price means?

01

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.

Theoretical foundation

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.
Before and after

From expert consensus to market consensus

Pundits & pollsPrediction markets
Who speaksa few credentialed voicesthousands of stakes
Failure modegroupthink, no downsideerror is punished in cash
Structurehub-and-spoke: a handful of forecasters broadcast opinionsmesh: thousands of financially-motivated traders continuously price the truth
From question to settlement

How a market lives and dies

  1. List the contract: an exchange defines a verifiable question and its resolution rule.
  2. Trade YES / NO: buyers of YES want the event; buyers of NO want it not to happen.
  3. Price discovers: the price moves with every trade to reflect collective odds.
  4. Settle at $1 or $0: at the deadline the contract pays out on the verified outcome.
The 2024 proof

The market called it while the polls stayed frozen

Trump win probability on Polymarket, 2024 (approximate, read from chart) %
View the data
Trump, Polymarket
Jan40
Mar43
May48
Jul60
Sep54
Oct62
Nov 5100

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

Test yourself

Why does the chapter say a market price can 'know' more than any single participant?

In 2024, polls sat inside the margin of error for months. What did the market do?

02

The Mechanism

How the contract actually works

The core identity

A contract at 65 cents is a 65% forecast

$0.65 = 65%Price of a YES contract = the market's probability
The instruments

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.
The legal category

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.
Two architectures

The same contract, two very different machines

Centralized (Kalshi)Decentralized (Polymarket)
Truth sourcefederal APIs (BLS, NOAA)UMA token-holder oracle
Settlementinstant, centralized clearingsmart contract on Polygon
Speed if disputedoperator resolveshours-to-days if challenged
Key risksingle point of failureoracle / coordination attacks
Best forinstitutional hedgingcensorship-resistant, global access
Who's on the other side?

Two ways a trade actually gets filled

AMM: automated market makerCLOB: central limit order book
Howa formula quotes both sidesbids and asks matched like a stock exchange
Upsidealways instant, even with no counterpartytrue prices, tight when liquid
Costbig orders push price against youthin books can be empty, no fill
Used byearly Polymarket, thin marketsKalshi always; Polymarket since '23
Price impact

In a thin market, size moves the price against you

Average fill price impact by order size (illustrative, est.) cents
View the data
Price impact
$5007
$5,00011
$50,00020

Source: Polymarket order-book mechanics; illustrative (est.)

Test yourself

You buy YES at $0.65 and the event happens. What is your approximate return on the amount paid?

In the illustrative chart, a $50,000 order averaged 20 cents of price impact versus 7 cents for $500. What is the lesson?

03

The Landscape

Protocols, institutions and aggregators

Kinds of player

Who does what in the value chain

LayerRole
05 Protocolsdecentralized base layer; run the markets on-chain (Polymarket).
04 Institutionsregulated exchanges with clearing and custody (Kalshi, ForecastEx).
03 Aggregatorsdistribution: apps that route retail order flow (Robinhood, Coinbase).
02 Oracles & clearingthe plumbing that verifies outcomes and settles cash.
01 Market makersprofessional liquidity providers who quote both sides for a spread.
The duopoly

Polymarket vs Kalshi: one contract, two philosophies

PolymarketKalshi
Modeldecentralized 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
BackersICE, Founders Fund, PolychainSequoia, a16z, Paradigm
Concentration

Two platforms carry the vast majority of volume

Notional volume by platform $B
View the data
Notional volume
Polymarket54
Kalshi42
All others (est.)12

Source: Dune (2025); 'all others' is an estimate

Where the volume goes

Sports, not politics, is the growth engine

Share of projected ~$1T annual volume, 2030 (est.) %
View the data
Share of projected volume
Sports44
Politics & elections20
Macro / crypto22
Culture & other14

Source: Estimate from Dune, CNBC (2026)

The positioning map

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.

Aggregators become integrators

How the incumbents entered in 2025

FirmEnteredThe move
RobinhoodJan 202524M funded accounts; acquired LedgerX
CoinbaseDec 2025100M users; bought The Clearing Company
DraftKingsDec 2025sports DNA; acquired Railbird
FanDuelDec 2025built on CME infrastructure

Test yourself

Why does the chapter describe the field as a duopoly despite many venues?

By 2030, which category is projected to be the largest share of an estimated ~$1T annual volume?

04

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.

>$4.2BTraded on the 2024 US election across Polymarket and Kalshi

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.'

100x in 24 months

Skeptics said it would fade; instead it compounded

~$1.75BMonthly notional volumeFeb 2025
~$27BMonthly notional volumeJan 2026

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.

The unlocks

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 flywheel

The liquidity flywheel

  1. More traders join
  2. Deeper liquidity
  3. Tighter spreads
  4. More reliable prices
  5. More attention & trust (and the loop returns to more traders joining)
From experiment to infrastructure

The fifteen months that institutionalised the category

  1. Kalshi v. CFTC: federal court rules prediction markets are regulated exchanges, not gambling.
  2. The election call: markets beat the pundits on a national stage.
  3. CFTC drops appeal: legal status cemented; the investment wave begins.
  4. QCEX acquired: Polymarket buys a CFTC-licensed exchange to come onshore.
  5. ICE invests $2B: NYSE's parent backs Polymarket at a $9B valuation.
  6. Record ATH: weekly volume tops $6B, up ~10x year-on-year.
The unfinished war

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.

Test yourself

Monthly volume rose from about $1.75B (Feb 2025) to about $27B (Jan 2026). What is the best reading?

What is the core tension behind the state lawsuits over sports contracts?

05

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.

Feb 2026The Federal Reserve validated the asset class

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.

Case study: hedging with markets

Game Point Capital hedges NBA playoff bonuses

Traditional OTC insuranceKalshi prediction market
Mechanismmanual underwriter negotiationtransparent, exchange-traded
Processstandard policy issuanceinstant execution on open market
Premium12-13% quoted~6% secured
The tradeopaque bilateral contractbuy YES on 'team makes playoffs'
Verdictslow, opaque, expensivefast, transparent, ~half the cost
The internal market

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.
Second- and third-order effects

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.

Test yourself

A team owes a $1M playoff bonus and buys about $60k of YES on making the playoffs at about 6%. What happens if they miss the playoffs?

Why might an internal company market surface information that a manager's request would not?

06

The Risks

Manipulation, gambling and accuracy

The manipulation problem

Insider knowledge plus thin liquidity is a live threat

$400kVenezuela / Maduro (Jan 2026)a $32k bet moved the price 8c to 65c hours before a classified operation
>$1MGoogle Year in Search (Dec 2025)one trader hit 22 of 23 in 24 hours, 'suspiciously' concentrated
ArrestsIsrael-Iran bets (Feb 2026)suspects detained for trading on classified military information
New billTorres integrity actwould ban officials trading on non-public government information
The accuracy question

Better than polls, but the variance is wide

2024 election accuracy by model %
View the data
Accuracy
PredictIt (2,500+ mkts)93
Polymarket67
Combined model (est.)96

Source: arXiv (2024 election accuracy study)

What is it, really?

Prediction markets live on a spectrum

  1. Slot machine (pure gambling): no skill, pure chance.
  2. Sports parlay: entertainment-led.
  3. Thin event market: manipulable, retail-heavy.
  4. Deep macro market: priced by informed capital.
  5. Fed-cited benchmark (information market): genuine information good.
The gambling problem

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.
Reading a market honestly

What the price does and doesn't tell you

What it tells youWhat it hides
Probability / The whythe crowd's capital-weighted estimate, livethe price never explains its own reasoning
Speed / Completenessit updates the instant news arrivesthin markets may not price all information
Depth signal / Who's tradinghigh volume means a more reliable readwell-informed or merely well-capitalised?
Direction / Whale riskwhich way informed money is movingone big trader can move a thin market

Test yourself

Which price would be the more reliable read, other things equal?

PredictIt hit about 93% accuracy and Polymarket about 67% on the same 2024 outcomes. What does this suggest?

07

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.

~$40MExtracted by trading bots on Polymarket since 2024

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 macro backdrop

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.
Compliance is the competitive advantage

Why the US market ends with 2-3 winners

FactorDetail
05 The licence is the moatonly 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 lobbyKalshi, Robinhood and IBKR formed the Coalition for Prediction Markets (Dec 2025).
02 The endgamea legal war chest big enough to fight 20+ state battles forces consolidation.
01 The distributorsaggregators keep partnering with the licensed winners for a fee.

Test yourself

According to the chapter, what is the durable advantage in US prediction markets?

What open question does the chapter raise about AI agents becoming major traders?

08

Reference

Glossary & sources

Reference

Plain-language glossary

TermMeaning
Prediction marketan exchange for contracts tied to future events.
Event contractthe regulatory term for a prediction-market derivative.
DCMDesignated Contract Market, a federally-licensed exchange.
AMM / CLOBthe two ways trades fill: a pricing formula, or an order book.
Binary contractpays $1 if an event happens, $0 if not; price = probability.
CFTCthe US regulator for derivatives: futures, swaps, event contracts.
Oraclea system that feeds real-world outcomes to a smart contract.
Preemptionthe 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
Reference

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.

Test yourself

What does 'preemption' mean in this context?

Which pairing is correct?

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.