An event contract is a type of derivative financial instrument whose payout depends on whether specific real-world events occur or not. These binary-structured contracts, regulated by the Commodity Futures Trading Commission (CFTC) in the United States, settle at 100 for CME contracts) if the predicted outcome materializes, or $0.00 if it doesn't. Also known as prediction contracts or information contracts, event contracts are the fundamental financial instrument traded on prediction markets, where participants trade based on their forecasts of real-world events such as elections, sports results, economic indicators, weather patterns, or cultural outcomes.
Trading at 95.5 billion by 2035, event contracts represent a rapidly growing sector at the intersection of financial derivatives and prediction markets. The market price of an event contract fluctuates between 0 and 100 cents (or percent), directly reflecting the market's collective assessment of the probability of the event happening. For example, a contract trading at $0.60 implies the market believes there is a 60% chance of the event occurring.
Unlike traditional derivatives that hedge price risks in underlying commodity markets, event contracts aggregate information about discrete future events. They enable crowdsourced forecasting by aggregating diverse opinions and information from traders, often outperforming traditional polling or expert predictions due to the financial incentives involved. The contracts occupy a contentious regulatory space, with ongoing debates about whether they serve legitimate economic purposes or constitute a form of prohibited "gaming."
Key Takeaways
- Binary Structure: Pays 0 if not.
- Regulated: CFTC oversees DCMs like Kalshi; others operate offshore or decentralized.
- Price = Probability: A $0.60 price implies a 60% chance of occurrence.
- No Margin: Fully collateralized, meaning you can't lose more than you bet.
#History and Evolution
#Early Origins
The concept of event contracts traces back centuries, with historical records indicating betting on events like papal successors as early as 1503, described as an "old practice." In the United States, organized betting on presidential elections dates back to George Washington's 1789 election, with Wall Street markets seeing turnover exceeding 50% of campaign spending per election cycle by 1884. These early informal markets for events existed for centuries but were often regarded as illicit gambling.
In the late 19th and early 20th century U.S., bucket shops allowed people to bet on stock prices without owning shares, essentially speculating on price movements as events. These were eventually outlawed due to fraud and manipulation concerns. Throughout the 20th century, outright betting on events (outside of regulated sports betting or lotteries) remained largely illegal in the United States, while countries like the United Kingdom long permitted betting on various events under their gambling laws.
#Theoretical Foundations
The modern framework for event contracts draws from economic theories, including Friedrich Hayek's 1945 essay "The Use of Knowledge in Society," which emphasized the role of markets in aggregating dispersed information, and Ludwig von Mises' 1920 work on economic calculation. The "wisdom of the crowds" principle, popularized by Francis Galton's 1907 observations and James Surowiecki's 2004 book The Wisdom of Crowds, underpins the idea that collective market judgments can surpass individual expertise.
#Modern Development Timeline
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1988: Launch of the Iowa Electronic Markets (IEM) by the University of Iowa, using real-money event contracts to forecast U.S. presidential elections with superior accuracy to polls. The IEM operated under CFTC no-action relief as an academic experiment.
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1990: Economist Robin Hanson implemented internal corporate prediction markets at Project Xanadu for events like cold fusion viability.
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1991: Establishment of HedgeStreet (later NADEX), which would become a CFTC-regulated platform for event contracts on economic indicators.
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1996: Introduction of the Hollywood Stock Exchange for entertainment-related event contracts, which would go on to accurately predict 32 of 39 Oscar nominees (82% accuracy) in 2006 studies.
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2001: Launch of Intrade.com for real-money trading on diverse events; it ceased operations in 2013 amid regulatory issues.
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2003: U.S. Department of Defense's short-lived Policy Analysis Market (dubbed the "terror futures market") was canceled after public and political backlash. CBS News reported it was criticized as a plan to "bet on terror attacks and assassinations."
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2004: The CFTC designated HedgeStreet, Inc. as the first contract market dedicated to event contracts.
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2005: Corporations including Eli Lilly, Google, HP, Microsoft, Hewlett-Packard, and Best Buy began using internal event contracts for forecasting drug trials, product launches, and strategic decisions.
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2007: Formation of the Prediction Market Industry Association (now defunct) and launch of the peer-reviewed Journal of Prediction Markets by the University of Buckingham Press.
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2008: The CFTC issued a Concept Release titled "Appropriate Regulatory Treatment of Event Contracts" posing 24 questions about jurisdiction, exemptions, gaming aspects, and state law preemption. The agency received 31 comments but took no immediate action due to the intervening financial crisis.
#Regulatory Evolution Timeline
#Recent Developments (2018-2025)
- 2018: Debut of Augur, the first decentralized blockchain-based platform.
- 2020: Polymarket launched; Kalshi designated as first event contract DCM.
- 2024: Landmark court ruling allows election betting on regulated US exchanges.
- 2025: Institutional entry (ICE, Robinhood, Interactive Brokers).
#Technical Definition and Structure
#Legal Classification
Event contracts are legally classified as derivative contracts under the Commodity Exchange Act (CEA) Section 1a(19)(iv), specifically as "excluded commodities" based upon the occurrence, extent of an occurrence, or contingency other than changes in the price, rate, or value of traditional commodities. The CFTC defines them as contracts whose payoff is based on specified events, occurrences, or values such as economic indicators, corporate earnings, weather events, or political outcomes.
The regulatory status follows a specific legal chain:
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"Event Contract" is Not a Legal Term: The term is an industry and marketing term, not formally defined in the CEA or CFTC regulations.
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Classification as "Binary Option": The CFTC views these instruments as binary options - "a type of options contract in which the payout will depend entirely on the outcome of a yes/no proposition."
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Classification as "Swap": The Dodd-Frank Act's broad definition of "swap" explicitly includes binary options, legally classifying event contracts as swaps under the CEA.
#Core Structure
Structurally, event contracts function as binary options with fixed, predetermined payouts. Each contract consists of complementary pairs:
- A YES contract that pays out if the event occurs
- A NO contract that pays out if it doesn't
The fundamental pricing relationship dictates that YES price plus NO price approximately equals $1.00 (plus the bid-ask spread). This pricing directly reflects market-implied probability; a 73-cent YES contract suggests the market assigns a 73% probability to the event occurring.
Key structural features include:
- Fully collateralized: Traders prepay the entire purchase price when entering a position
- No margin calls: Maximum loss never exceeds the initial investment
- Continuous trading: Contracts trade until expiration, allowing early exit at market prices
- Automatic settlement: Upon expiration, settlement occurs based on predetermined data sources
#Developer Guide: Contract Interface
For developers building on prediction market APIs, an event contract typically follows this structure:
interface EventContract {
id: string;
ticker: string; // e.g., "FED-MAR25"
event_type: "BINARY" | "SCALAR" | "CATEGORICAL";
// The core proposition
title: string; // "Will Fed cut rates in March?"
description: string;
// Settlement details
expiration_timestamp: number;
resolution_source_url: string;
rules: string;
// Market state
last_price: number; // 0.00 to 1.00
volume_24h: number;
open_interest: number;
// Payout logic
payout_criteria: {
condition: string; // "rate < 5.25"
payout_amount: number; // 1.00
};
}
#Event Contract Structure
#Types of Event Contracts
#Binary Contracts
The most common structure, offering simple yes/no outcomes with fixed $1.00 payouts. Example: "Will the Federal Reserve cut interest rates?"
#Index Contracts
Provide payouts that vary continuously based on numerical outcomes. Example: "What percentage of the popular vote will Candidate X receive?"
#Categorical Contracts
Multiple mutually exclusive outcomes for a single event. Example: "Who will win the GOP nomination?" (Options: Trump, DeSantis, Haley, etc.)
#Scalar or Range Contracts
A contract that resolves based on a numerical value within a specified, bounded range. Payouts are not "all-or-nothing" but proportional to where the final value falls. The contract might ask "What will be the U.S. unemployment rate? (Range: 3.0% to 5.0%)" with linear payout based on the actual result.
#Spread Betting Contracts
Allow traders to bid on cutoff levels that determine event occurrence. Combined with even-money bets, these contracts yield median outcome expectations.
#Combinatorial Contracts
Allow trading on combinations of outcomes, useful for complex scenarios but computationally intensive. These enable bets on multiple interrelated outcomes for more nuanced forecasts.
#Key Components of an Event Contract
For a prediction market to be viable, event contracts must include these objective, unambiguous components:
#1. Underlying Event
The specific, real-world proposition being traded, structured as a "yes or no" question. Categories include:
- Economics: Unemployment rate, CPI, Federal Reserve decisions
- Finance: Stock index values, commodity prices, cryptocurrency levels
- Politics: Election outcomes, legislative passage, policy decisions
- Climate/Weather: Temperature thresholds, rainfall totals, hurricane frequency
- Sports: Championship winners, game outcomes, player performance
- Entertainment: Award winners, box office results, album releases
#2. Resolution Criteria
The most critical component: "plain, concrete terms" that explicitly define what constitutes a "Yes" or "No" outcome. Must be verifiable with no subjective interpretation. Poor example: "Will City A have a 'bad' storm?" Good example: "Will City A receive more than 10 inches of snow on January 15?"
#3. Resolution Source
The trusted, authoritative entity responsible for verifying results:
- Bureau of Labor Statistics for unemployment contracts
- National Weather Service for weather events
- Official sports league websites for game outcomes
- Federal Reserve for monetary policy decisions
- Secretary of State offices for election results
#4. Expiration Date and Time
The specific moment when the event's outcome is measured and trading halts. Settlement begins based on data from the designated resolution source.
#How Event Contracts Work
#Trading Process
Event contracts operate within prediction markets through several stages:
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Market Creation: Platforms identify events with clear, verifiable binary outcomes and designate authoritative sources for settlement data. CFTC-regulated platforms undergo self-certification or voluntary approval processes.
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Initial Pricing: Markets typically open at 50 cents reflecting uncertainty or based on comparable historical events.
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Order Matching: Using either continuous double auctions or automated market makers, buy and sell orders are matched. Traders can submit:
- Market Orders: Execute immediately at best available price
- Limit Orders: Specify maximum/minimum acceptable prices
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Dynamic Trading: Prices fluctuate based on supply and demand as information emerges. Traders can buy YES or NO contracts at any time before expiration.
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Position Management: Unlike static bets, traders can sell positions before expiration. For example, buying at 0.60 locks in profit without waiting for final resolution.
#Settlement Process
- Market Close: Trading ceases at predetermined expiration
- Outcome Determination: Exchange accesses designated source data (typically 1-12 hours after close)
- Verification: Compare actual outcomes against contract criteria
- Settlement Execution: Automated systems resolve all positions:
- YES holders receive $1.00 per contract if event occurred
- NO holders receive $1.00 per contract if it didn't
- Losers receive nothing
- Post-Settlement: Funds available for withdrawal within two business days
#Market Mechanics and Pricing Theory
#Continuous Double Auction (CDA)
The traditional exchange model enabling peer-to-peer trading through limit orders:
- Buy orders (bids) and sell orders (asks) recorded in order books
- Automatic execution when highest bid matches lowest ask
- Spreads typically 1-5 cents for liquid markets
- Prices reflect pure market sentiment without intermediary influence
#Automated Market Makers (AMM)
Solve thin market problems by providing continuous liquidity:
Logarithmic Market Scoring Rule (LMSR) - The most developed AMM for prediction markets:
- Core formula: C(q) = b × log(Σ exp(qᵢ/b))
- Parameter b controls liquidity sensitivity
- Bounded loss for market operator
- Always-on liquidity regardless of volume
Liquidity-Sensitive LMSR (LS-LMSR) adapts liquidity based on trading volume, used by corporate prediction markets at Google and HP.
#Pricing as Probability
A 70-cent YES contract implies 70% market probability, but prices systematically deviate from true probabilities due to:
- Risk-free rate opportunity cost: Capital could earn interest elsewhere
- Transaction costs: Bid-ask spreads and fees
- Risk preferences: Varying trader risk tolerance
- Favorite-longshot bias: Systematic overvaluation of unlikely outcomes
- Anchoring effects: Prices remain too stable, insufficiently responsive to news
- Herd behavior: Traders follow crowd sentiment
#Regulatory Framework and Legal Status
#United States Framework
The regulatory framework evolved significantly following the 2010 Dodd-Frank Act. Section 745(b) added CEA Section 5c(c)(5)(C), granting the CFTC explicit authority to prohibit event contracts involving five enumerated activities:
- Terrorism
- Assassination
- War
- Gaming
- Unlawful activity
The CFTC must determine contracts are "contrary to the public interest" before prohibition.
#CFTC Regulation 40.11
Adopted July 27, 2011, establishing:
- 90-day review process for potentially prohibited contracts
- Notification and suspension procedures
- Public comment periods
- Approval or disapproval orders
Each review consumes approximately 625 staff hours at $220,000 cost.
#Gaming Definition Controversy
The definition of "gaming" has generated the most significant regulatory controversy. The CFTC initially interpreted gaming as "staking something of value on a contest of others." This interpretation faced direct legal challenge in the landmark Kalshi case:
- September 22, 2023: CFTC prohibited Kalshi's congressional control contracts
- November 1, 2023: Kalshi sued in federal court
- September 6, 2024: Judge Cobb ruled elections are "contests" not "games"
- October 2, 2024: D.C. Circuit denied CFTC emergency stay
- 2024-2025: Over $500 million traded on election markets
#Designated Contract Market Requirements
Platforms must register as DCMs under CEA Section 5, complying with 23 Core Principles covering:
- Manipulation prevention
- Financial integrity
- Market transparency
- Governance standards
- Market surveillance
- Position limits
- Dispute resolution
#State vs. Federal Jurisdiction
Multiple states issued cease-and-desist orders in 2024-2025, arguing event contracts constitute gambling under state law. Federal courts have generally upheld CFTC jurisdiction, though tensions remain unresolved. The American Gaming Association argues sports event contracts are "indistinguishable from sports wagering" and should fall under state regulation.
#International Perspectives
- United Kingdom: Regulated under gambling laws rather than financial regulation
- European Union: Varies by member state
- Decentralized Platforms: Operate in legal gray areas across borders
#Major Platforms Comparison
| Platform | Type | Regulation | Fees | Key Features |
|---|---|---|---|---|
| Kalshi | Centralized | CFTC Regulated | ~5% on profit | USD settlement, institutional partners |
| Polymarket | Decentralized | Offshore/DeFi | None (spread) | High volume, crypto-native, global |
| PredictIt | Academic | CFTC Exemption | 10% on profit | Political focus, strict limits |
| CME Group | Institutional | CFTC Regulated | Exchange fees | Daily financial expiries |
| Robinhood | Retail Broker | CFTC (via Kalshi) | Low fees | Mass retail access |
#Settlement Mechanisms and Market Resolution
#Five-Stage Lifecycle
- Market Creation: Identify events, designate sources, certify compliance.
- Trading Period: Continuous double auction, real-time pricing.
- Market Close: Trading stops at expiration.
- Outcome Determination: Verify data against criteria (1-12h post-close).
- Settlement Execution: Automated payout (0).
#Technical Infrastructure
- FIX protocol messages for institutional reporting
- Matching engines for order book management
- Risk management systems tracking exposures
- Clearing systems automating fund movements
- Market surveillance tools detecting manipulation
- Some platforms maintain separate Derivatives Clearing Organizations (e.g., Kalshi Klear LLC)
#Real-World Examples and Notable Contracts
#Political Events (Highest Volume)
- 2024 Presidential Election: Over $3 billion combined volume
- Congressional Control: "Will Republicans control the Senate?" (landmark litigation subject)
- NYC Mayoral 2025: 71 million (Kalshi)
- State/Local Races: Gubernatorial, mayoral, legislative outcomes
- Policy Decisions: "Will the President issue a pardon for [specific person]?"
#Economic Indicators
- Federal Reserve: "Will the Fed cut rates at the next FOMC meeting?"
- Employment: "Will June Non-Farm Payrolls be ≥ 110,000?"
- GDP Growth: "Will GDP exceed 2.5% in Q3 2025?"
- Recession: "Will the U.S. enter a recession in 2025?"
- Inflation: "What will CPI inflation be for [month]?"
#Technology and Business
- IPO Predictions (launched July 2025):
- Databricks IPO by year-end: 21% probability
- OpenAI IPO by year-end: 5% probability
- Klarna IPO by year-end: 72% probability
- Stripe IPO by year-end: 6% probability
- Cryptocurrency: "Will Bitcoin reach $1,000,000 in 2025?"
#Sports (70% of Kalshi volume)
- Championships: Super Bowl, NBA Finals, World Series winners
- Individual Games: NHL, NFL, NBA game outcomes
- Notable: Nathan's Hot Dog Contest (cited by CFTC critics as gambling)
- Golf: Masters Tournament winners
#Entertainment and Culture
- Academy Awards: 82% accuracy predicting nominees (2006 study)
- Music: Festival cancellations, album sales milestones
- Box Office: Film performance predictions
- Streaming: Achievement milestones
#Weather and Climate
- Regional snowfall totals
- Hurricane frequency and intensity
- Temperature thresholds
- Agricultural yield predictions
#Ultra-Short Duration
- 15-minute crypto markets (Polymarket, October 2025)
- Daily financial expiries (CME Group)
#Advantages and Benefits
#For Traders
- Low capital requirements: 100 per contract enables broad participation
- Simple structure: Yes/no format easier than complex derivatives
- Predefined maximum risk: Cannot lose more than initial investment
- No margin calls: Fully prepaid structure eliminates debt risk
- 24/7 electronic trading: Constant market access
- Exit flexibility: Can sell positions before expiration
#For Information Aggregation
- Superior forecasting: Often outperforms polls and expert predictions
- Real-time updates: Prices adjust immediately to new information
- Financial incentives: Money at stake encourages accurate predictions
- Wisdom of crowds: Aggregates dispersed information efficiently
- Corporate applications: 24 of 26 milestones accurately predicted in studies
#For Platform Operations
- Standardized contracts: Enable rapid scaling
- Automated settlement: Based on verifiable outcomes
- Lower operational costs: Compared to traditional futures exchanges
- No counterparty risk: Fully collateralized prepaid structure
#Portfolio Benefits
- Diversification: Event outcomes often uncorrelated with traditional markets
- Non-correlated returns: Geopolitical events independent of stock movements
- Unique exposure: Access to otherwise untradeable events
- Hedging opportunities: For specific event-driven risks
#Limitations and Disadvantages
#Fundamental Structural Issues
- Poor hedging characteristics: Binary payouts don't distinguish magnitude of losses
- Basis risk: Same payout whether events barely meet or far exceed thresholds
- Short-term focus: Predominantly daily/weekly expiries limit long-term hedging
- Zero-sum nature: Every winner requires a loser
- Negative expected value: Transaction fees guarantee overall losses
#Market Quality Problems
- Liquidity challenges: Only top 3-5 markets generate sufficient volume
- Wide spreads: Thin markets create high transaction costs
- Manipulation vulnerability: Limited liquidity enables price distortion
- Market concentration: Interest focuses on major events, long-tail markets struggle
- Comparative profitability: Event contracts show gambling-like returns vs. investment returns
#Behavioral Biases
- Overconfidence bias: Participants overestimate prediction accuracy
- Anchoring effects: Prices insufficiently responsive to new information
- Herd behavior: Traders follow crowd sentiment
- Favorite-longshot bias: Systematic mispricing of extreme probabilities
#Predictive Failures
- 2019 Australian election: Markets gave Coalition only 8% probability (won decisively)
- 2025 Dutch elections: Both Kalshi and Polymarket significantly mispriced
- Specialized knowledge gaps: Crowds fail when expertise required
- Echo chamber effects: Homogeneous participant pools
#Regulatory and Ethical Concerns
- Gaming classification: 85% view sports contracts as gambling
- Addiction risks: Gambling-like nature raises compulsive trading concerns
- Insider information: Vulnerable to exploitation by those with advance knowledge
- Public interest concerns: Election integrity, democratic process impacts
- Moral hazards: Perverse incentives from assassination/disaster markets
#Economic Purpose Debate
- Columbia Law analysis: "Largely useless for insuring against losses"
- University of Chicago: Event contracts are "a step too far" in derivatives regulation
- CFTC concerns: Lack bona fide hedging or price discovery purpose
- No underlying asset: Pure speculation without productive economic function
#Differences from Other Financial Instruments
#vs. Traditional Futures and Options
| Feature | Event Contract | Traditional Derivatives |
|---|---|---|
| Underlying | Yes/No event outcome | Physical commodity/financial asset |
| Payout | Binary (all-or-nothing) | Variable/continuous |
| Risk | Capped at purchase price | Potentially unlimited |
| Margin | Fully prepaid | Initial and variation margin |
| Primary use | Event speculation/forecasting | Price risk hedging |
| Value determination | Probability of occurrence | Asset price changes |
#vs. Binary Options
While structurally similar, key differences exist:
- Regulation: CFTC-supervised exchanges vs. banned OTC products
- Settlement: Transparent market/government data vs. broker-determined
- Trading: Exchange-based peer-to-peer vs. against the house
- Surveillance: Comprehensive manipulation monitoring vs. limited oversight
#vs. Sports Betting
- Pricing: Market-determined vs. bookmaker-set odds
- Trading: Peer-to-peer exchange vs. house betting
- Regulation: Federal CFTC vs. state gaming commissions
- Scope: Diverse events vs. sports-only
- Exit options: Can sell positions vs. locked-in bets
#vs. Traditional Prediction Markets
Event contracts represent the formalization of prediction market concepts within regulated derivatives infrastructure, adding:
- Standardized contract specifications
- Regulatory oversight and compliance
- Clearing and settlement infrastructure
- Legal enforceability
- Market surveillance
#Risk Management Considerations
#For Traders
Advantages:
- Maximum loss always equals purchase price
- No leverage risk or forced liquidations
- No margin maintenance requirements
- Simple position sizing calculations
Strategies:
- Diversification across uncorrelated markets
- Position sizing (typically 1-5% per contract)
- Early exit to lock profits
- Opposite position hedging for spread capture
#For Platform Operators
Key Risks:
- Settlement disputes requiring clear contract definitions
- Data integrity dependencies on source agencies
- Market surveillance obligations under CFTC Core Principles
- Regulatory compliance amid federal-state jurisdictional disputes
- Reputational risk from controversial markets
Risk Mitigation:
- Multiple redundant data feeds
- Comprehensive audit trails
- Sophisticated monitoring systems
- Editorial judgment in market selection
- Segregated customer funds
#For Market Makers
- Model event probabilities
- Manage YES/NO inventory
- Provide continuous two-sided quotes
- Portfolio diversification (no traditional delta hedging available)
- Navigate binary discontinuities in pricing
#Recent Market Evolution (2024-2025)
#Volume and Growth Metrics
- Combined market activity: $27.9 billion (January-October 2025)
- Weekly all-time high: $2.3 billion (October 2025)
- Kalshi monthly record: $4.4 billion (October 2025, 62% market share)
- Projected market size: $95.5 billion by 2035 (46.8% CAGR)
#Institutional Validation
- ICE 9 billion valuation)
- Kalshi valuation trajectory: 5B (October) → $10B+ (November 2025)
- Susquehanna as first institutional market maker (April 2024)
#Mainstream Integration
- Google Finance integration (November 7, 2025)
- Yahoo Finance exclusive partnership with Polymarket (November 12, 2025)
- NHL partnerships with Kalshi and Polymarket (October 22, 2025)
- Robinhood processing 4 billion event contracts
#Regulatory Developments
- Kalshi appeal pending in D.C. Circuit (oral arguments January 2025)
- CFTC proposed rulemaking unfinalized (May 2024)
- Acting Chairman Pham signaling regulatory reconsideration
- Seven states issuing cease-and-desist orders
- FanDuel and DraftKings surrendering Nevada licenses to avoid conflicts
#Product Innovation
- 15-minute cryptocurrency markets (Polymarket)
- IPO prediction markets (Kalshi)
- Integration with traditional brokerages
- 38,270 new markets launched monthly (Polymarket)
#Future Outlook
Event contracts stand at a critical juncture.
Growth Drivers:
- Wall Street institutional backing (ICE, DRW)
- Integration with major apps (Robinhood, Google Finance)
- Demonstrated forecasting accuracy beating polls
Challenges:
- Unresolved federal-state jurisdictional conflicts
- "Gaming" vs. "Investing" classification debate
- Public perception as gambling
The next 12-24 months will determine if they become a standard asset class or face renewed constraints.
#Related Terms
- Prediction Market
- Binary Option
- Kalshi
- Polymarket
- PredictIt
- Commodity Futures Trading Commission
- Designated Contract Market
- Automated Market Maker
- Continuous Double Auction
- Logarithmic Market Scoring Rule
- Market Maker
- Liquidity
- Time Decay
- Sports Betting
- Betting Exchange
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Federal Register. "Event Contracts." June 10, 2024. https://www.federalregister.gov/documents/2024/06/10/2024-12125/event-contracts
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Commodity Futures Trading Commission. "Contracts & Products." https://www.cftc.gov/IndustryOversight/ContractsProducts/index.htm
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Investopedia. "Event Contracts: What They Are and How They Are Used." November 7, 2023. https://www.investopedia.com/events-contracts-8601422
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Holland & Knight. "Election Contracts and Sports Event Contracts: The Future of Regulated Event-Based Trading." February 6, 2025. https://www.hklaw.com/en/insights/publications/2025/02/election-contracts-and-sports-event-contracts-the-future
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CBS News. "Terror Betting Torpedoed." July 29, 2003. https://www.cbsnews.com/news/terror-betting-torpedoed-29-07-2003/
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iGamingBusiness. "Kalshi, Polymarket become official prediction market partners of the NHL." October 22, 2025. https://igamingbusiness.com/sports-betting/online-sports-betting/kalshi-polymarket-become-nhl-prediction-market-partners/
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DLA Piper. "CFTC settles enforcement action against DeFi platform Polymarket." January 25, 2022. https://www.dlapiper.com/en-us/insights/publications/2022/1/cftc-settles-enforcement-action-against-defi-platform-polymarket
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CFTC. "CFTC Issues Order Prohibiting North American Derivatives Exchange's Political Event Derivatives Contracts." April 2, 2012. https://www.cftc.gov/PressRoom/PressReleases/6224-12
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Kalshi Member Agreement. https://kalshi.com/docs/kalshi-member-agreement.pdf
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Morrison Foerster. "CFTC Issues Proposed Rules on Event Contracts." May 20, 2024. https://www.mofo.com/resources/insights/240520-cftc-issues-proposed-rules-on-event-contracts
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CNN. "Federal Appeals Court Allows Prediction Market to Offer US Election Betting." October 2, 2024. https://www.cnn.com/2024/10/02/business/appeals-court-allows-kalshi-election-betting
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CFTC. "CFTC Issues Proposal on Event Contracts." May 10, 2024. https://www.cftc.gov/PressRoom/PressReleases/8907-24
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NBC News. "Google Will Integrate Kalshi and Polymarket Predictions Into Its Finance AI Tools." November 2025. https://www.nbcnews.com/business/consumer/google-kalshi-polymarket-prediction-markets-rcna242670
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CNBC. "NHL Strikes First-Ever Deal with Prediction Markets Kalshi and Polymarket." October 22, 2025. https://www.cnbc.com/2025/10/22/nhl-kalshi-polymarket-prediction-market-deals.html
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