How to Launch a Prediction Market

How Prediction Markets Use Perps Infrastructure

Prediction markets and perpetual futures share fundamental mechanics, making perps infrastructure a natural foundation for prediction market platforms.

• Binary outcome contracts: A prediction market contract for an event like "Will BTC exceed $100K by June 2026?" trades between 0 and 1. Buying at 0.65 means paying 65 cents for a contract that pays $1 if the event occurs, implying a 65% market-estimated probability.
• Perpetual structure: Unlike fixed-expiry prediction markets (like Polymarket's model), perpetual prediction contracts have no expiration date. They settle when the event resolves. This eliminates the need for rolling positions across expiration dates.
• Leverage (optional): Some prediction market designs allow leveraged positions, letting traders amplify their conviction on event outcomes. This requires careful risk management given the binary nature of outcomes.
• Shared infrastructure: Order matching, position management, margin calculations, and settlement can reuse the same systems that power perpetual futures trading. This significantly reduces development effort.

Platforms like Polymarket have proven massive demand for event-based trading. Building on perps infrastructure lets you launch faster while offering features like leverage and advanced order types that purpose-built prediction markets lack.

Step 1: Design Your Market Structure

Market structure design determines how events are represented as tradeable contracts and how they resolve.

1. Define event categories. Decide which types of events your market will cover: crypto prices, elections, sports, protocol governance, economic indicators, or a combination. Focus on categories your target audience cares about and where resolution is unambiguous.
2. Create contract specifications. For each market, define: the exact question being asked, the possible outcomes (binary yes/no or multiple choice), the resolution source (oracle, data feed, or manual determination), the resolution date or condition, and the collateral asset.
3. Design the trading pair. Each prediction market is a trading pair where the price represents probability. For binary markets, you need one contract (YES token) since the NO probability is simply 1 minus the YES price. For multiple-choice markets, create a contract for each outcome.
4. Set resolution rules. Document exactly how each market resolves, including the data source, resolution time, and dispute process. Ambiguous resolution rules destroy user trust and invite manipulation.

Step 2: Build the Oracle and Resolution System

The resolution system determines the truthfulness and reliability of your prediction market. It is the most critical component for user trust.

1. Automated oracles: For events tied to on-chain data (token prices, protocol metrics, governance votes), use automated oracle feeds from Chainlink, Pyth, or direct smart contract reads. Automated resolution is faster and less prone to disputes.
2. Manual resolution with dispute mechanism: For real-world events (elections, sports, etc.), implement a multi-step resolution process: an initial resolver submits the outcome, followed by a challenge period where others can dispute. Use a staking mechanism where disputers stake funds to challenge resolutions, discouraging frivolous disputes.
3. Decentralized resolution (optional): For maximum credibility, use a decentralized oracle network like UMA's optimistic oracle, where resolution is validated by a distributed set of token holders rather than a single authority.
4. Edge case handling: Define rules for events that are cancelled, postponed, or ambiguous. Common approaches include voiding the market and returning funds, or resolving to 50/50 for truly ambiguous cases.

Step 3: Implement Liquidity and Market Making

Prediction markets need sufficient liquidity for traders to enter and exit positions without excessive slippage.

• Initial liquidity provision: Seed each new market with initial liquidity using an automated market maker (AMM) or by partnering with market makers. An AMM with a constant-product or logarithmic scoring rule provides baseline liquidity from market creation.
• Market maker incentives: Offer reduced fees or rebates to market makers who maintain tight spreads on prediction contracts. Active market making is essential for popular markets; AMM-only liquidity is typically sufficient for niche markets.
• Order book integration: For high-activity markets, transition from pure AMM to an order book model (or hybrid) where sophisticated traders provide limit orders. This typically results in tighter spreads and deeper liquidity than AMMs alone.
• Cross-market efficiency: Related markets (e.g., "Will candidate A win?" and "Will candidate B win?") should have prices that sum to approximately 1. Implement or incentivize arbitrage between related contracts to maintain pricing consistency.

Step 4: Build the User Interface

Prediction market interfaces differ from traditional trading interfaces. Optimize for event discovery and probability visualization.

1. Market browser: The primary navigation is a browsable, searchable catalog of markets organized by category and popularity. Each market card shows the question, current probability, trading volume, and resolution date.
2. Probability visualization: Display prices as probabilities (65% rather than 0.65) since prediction market users think in probabilities. Show probability history charts with event annotations to provide context.
3. Trading interface: Simplify the order entry compared to a full futures trading terminal. For most prediction market users, a simple "Buy Yes at X%" or "Buy No at Y%" interface with a dollar amount input is sufficient.
4. Portfolio view: Show the user's open positions across all markets, with current probability, entry probability, PnL, and potential payout on resolution.
5. Market creation (optional): Allow community members to propose new markets. Implement a curation or approval process to maintain quality and prevent manipulation-prone markets.

Step 5: Launch and Grow the Platform

Prediction market platforms have unique growth dynamics compared to traditional exchanges.

1. Seed with high-interest events. Launch with markets around events that already have significant public interest: major elections, crypto milestones, sports championships, or trending topics. These attract initial users through organic search and social sharing.
2. Leverage news cycles. Create markets around breaking news and trending events quickly. The speed at which new markets are listed is a competitive advantage in prediction markets.
3. Build information value. Prediction market probabilities are newsworthy themselves. Media outlets cite prediction market odds as indicators of event likelihood. Create embeddable widgets that news sites and bloggers can include, driving awareness back to your platform.
4. Community and social features. Prediction markets are inherently social. Implement leaderboards, commenting on markets, and sharing functionality. The best prediction market traders become influencers who attract followers.
5. Consider regulatory landscape. Prediction markets face varying regulatory treatment depending on jurisdiction and market type. Some jurisdictions classify event contracts as gambling; others treat them as financial instruments. Engage legal counsel early to structure your platform appropriately.