The ABC’s of Prediction Markets – A Modern Overview for Operators, Regulators, and Investors
By Stephen A. Crystal – Schedule A Meeting with Me. CLICK HERE
The “ABC’s of Prediction Markets” is fast becoming the go-to framework for understanding how these event-driven trading platforms sit at the intersection of gambling, finance, and data-driven forecasting.
A: What Is a “Prediction Market”?
At its core, a prediction market is an exchange where individuals trade contracts that pay out based on whether a future event occurs. If a contract is priced at 63, the market is implicitly signaling a 63% probability of that outcome. When the event resolves, winning contracts settle at full value while losing contracts settle at zero.
Economists call these “information markets” because their real value lies in aggregating thousands of independent signals into a single probability estimate. Traders adjust prices as new information emerges, making these markets powerful forecasting tools. They’ve been used to anticipate elections, inflation prints, Federal Reserve decisions, box-office results, product launches, and global events.
Today’s prediction-market ecosystem includes:
- Fully regulated, real-money exchanges like Kalshi, which operate under the CFTC as event-based derivatives exchanges.
- Crypto-native platforms like Polymarket, which recently secured a regulated path into the U.S. by acquiring a registered exchange and entering into a regulatory oversight structure.
- Play-money or reputation-based platforms such as Metaculus and Manifold, which use points instead of cash but still generate meaningful probability estimates.
The core innovation remains the same: turning collective opinion into a tradable, continuously updated price.
B: Prediction Markets vs. Sports Gambling
Prediction markets and sports betting may appear similar—both involve staking money on uncertain outcomes—but the mechanics and regulatory environments differ sharply.
Sports betting is regulated almost entirely at the state level, requires gaming licenses, and relies on bookmakers to set odds. Bettors place one-off wagers, and taxation follows gambling statutes.
Prediction markets, particularly those approved by the CFTC, structure these outcomes as derivative contracts. Traders can buy and sell positions at any time, build portfolios across multiple markets, and in some cases benefit from more favorable tax treatment.
But the distinction is narrowing. After massive election-driven volume in 2024, Kalshi began offering sports-themed contracts, blurring the line between financial instruments and wagering. At the same time, major sports leagues like the NHL have partnered with prediction-market operators, giving them official data and marketing integrations—a development unimaginable just a few years ago.
This convergence is drawing regulatory attention. State regulators worry that prediction markets could serve as “sportsbooks in disguise,” while federally regulated exchanges argue they are fundamentally financial products, not gaming operations.
C: How Does One Get Approved or Set Up a Prediction Market?
Launching a legitimate prediction market requires one of three paths, each with its own compliance burden.
1. U.S. Federal Derivatives Exchange (CFTC Route)
This is the most rigorous and the most scalable. It requires:
- Registering as a Designated Contract Market (DCM) or acquiring one.
- Establishing a compliant clearing structure or partnering with a registered Derivatives Clearing Organization.
- Implementing CFTC-grade surveillance, risk controls, reporting, AML/KYC, and compliance systems.
- Ensuring that markets serve the “public interest” and do not violate CFTC restrictions.
This is the model used by Kalshi and the structure Polymarket has moved toward through its acquisition of a regulated exchange.
2. Offshore or Non-U.S. Licensing
Some jurisdictions (e.g., UK, Malta) regulate event contracts as betting products. These require gambling licenses rather than financial-market licenses. Operators still need AML, responsible gambling, and consumer-protection controls.
3. Play-Money or Internal Corporate Markets
Companies run internal prediction markets for forecasting sales, product timelines, budgets, and more. These often avoid financial-market regulation but must comply with internal HR, privacy, and incentive rules.
Across all three models, the trend in the U.S. is clear: major players, institutional investors, and exchanges are gravitating toward the federally regulated CFTC model as the most durable long-term framework.
The Business Model: How Prediction Markets Make Money
Modern prediction markets rely on several revenue streams:
- Transaction fees on every contract traded, similar to a brokerage model. (Kalshi takes a transaction fee of around $0.02 per contract for smaller trades, but this is often presented as a fixed amount rather than a percentage.)
- Liquidity and spread economics, where market makers profit by tightening markets and providing depth.
- Data products, especially real-time sentiment and probability data that can be sold to institutions and media companies.
- Media and brand integrations as prediction markets become engagement layers for major news outlets and entertainment platforms.
- White-label and B2B partnerships, especially with sports leagues and content companies seeking innovative fan-engagement tools.
The economics increasingly mirror a hybrid between a sportsbook and a financial exchange—leveraging both trading fees and proprietary data.
Regulation and Taxation: Where Do Prediction Markets Sit?
In the U.S., real-money prediction markets fall under federal oversight when structured as event-based derivatives. Kalshi and Polymarket are the leading examples.
However, the regulatory picture is expanding. State gaming agencies are beginning to investigate whether existing sportsbook licensees should be allowed to offer prediction markets at all. The New York State Gaming Commission recently announced a full review of prediction-market licensing, signaling increased state-level scrutiny.
Taxation is also evolving. Some analysts argue that gains on CFTC-regulated contracts may receive more favorable treatment than traditional gambling winnings. Others caution that, absent explicit IRS guidance, all profits should be treated as taxable income. The industry is awaiting clearer rules.
The broader theme is that regulators increasingly see prediction markets as powerful forecasting tools but remain cautious about their overlap with gaming.
Who Can Set One Up – and Who Actually Trades?
Launching a credible prediction market requires significant capital, compliance infrastructure, and institutional backing. Today’s major operators include:
- Venture-backed fintech startups
- Established exchanges
- Media conglomerates
- Major sports leagues and entertainment brands
On the user side, prediction markets attract:
- Retail speculators seeking sharper pricing or diversified markets
- Sports bettors looking for alternatives to traditional sportsbooks
- ** Politically engaged users** who want to express views with real stakes
- Data-driven traders and quants who arbitrage mispriced contracts
- Commercial hedgers protecting against event-based risks (e.g., legislative votes, macroeconomic releases)
Platforms consistently report demographics skewing younger, tech-savvy, and risk-tolerant—similar to online sportsbooks and retail trading apps.
Can We Have Prediction Markets on Anything?
In theory, yes. If an event is objectively measurable, a prediction market can be created around it: sports, elections, regulatory decisions, celebrity outcomes, award shows, economic releases, and more.
In practice, strict limits apply:
- The CFTC bans markets related to violence, terrorism, and certain sensitive political or economic outcomes.
- State gaming regulators may restrict markets they see as inappropriate or duplicative of sportsbook offerings.
- The New York review shows growing tension over whether political, entertainment, or macroeconomic markets should be allowed at all.
The industry is moving toward a tiered model:
- Low-friction markets: sports, entertainment, macro data
- High-scrutiny markets: politics and sensitive social issues
- Prohibited markets: anything violating public-interest or ethics standards
Why Prediction Markets Matters for Gaming and Finance
Prediction markets are no longer academic experiments or niche crypto products. They are becoming a mainstream asset class, attracting:
- Major financial exchanges
- Institutional investors
- Sports leagues
- Media companies
- Regulators looking to modernize frameworks
For operators, regulators, and investors across the gaming and iGaming ecosystem, prediction markets represent:
- A new category of tradable information
- A bridge between betting markets and financial exchanges
- A testing ground for the future of event-based trading
- A powerful forecasting tool that often outperforms polls and expert models
Understanding the ABC’s today is essential as prediction markets evolve from fringe curiosity to a central pillar of modern forecasting, gaming, and financial innovation.
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Prediction markets are powerful information aggregators—but operators need clarity on where they sit legally.
We're watching prediction markets closely because they sit at the exact intersection of gaming, finance, and data—three worlds with very different regulators. Understanding the ABC framework helps our partners navigate which markets can operate where, and what compliance layers matter most.
- Prediction markets are event-driven exchanges where contract prices reflect real probability—a forecasting tool, not just a bet.
- Legal status varies sharply: fully regulated in some jurisdictions, restricted or banned in others depending on financial vs. gambling classification.
- Operators need to map their target market's stance on prediction contracts before product or compliance design.
SCCG angle: We've got 30 years and 150+ partners across every regulated market. When you're deciding whether prediction markets fit your roadmap, we help you map jurisdiction-by-jurisdiction rules and connect you with operators already running them cleanly in your target regions.