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How to Find Arbitrage in Prediction Markets

Learn how to spot and exploit arbitrage opportunities in prediction markets like Polymarket, Kalshi, and Betfair. Strategies, tools, and risk management.

James Carlton
Crypto Analyst — On-Chain Flows · · 4 min read
✓ Fact-checked · 📅 Updated 1 May 2026 · 4 min read
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Key takeaway: Prediction market arbitrage emerges when an identical event carries distinct valuations across separate platforms — or when the combined cost of YES and NO contracts on a single venue falls below $1. Though infrequent, these near-riskless (or entirely riskless) opportunities genuinely exist, and grasping their dynamics elevates your trading acumen considerably.

Prediction market arbitrage ranks among the most coveted approaches in the toolkit of institutional and experienced traders. Rather than placing directional wagers where accuracy determines success, arbitrage capitalises on market mispricing — irrespective of the ultimate outcome. This article explores the underlying principles, available resources, and critical challenges.

What is prediction market arbitrage?

Arbitrage entails the simultaneous acquisition and disposal of an identical asset across separate venues, capitalising on valuation discrepancies. Within prediction markets, two principal variants emerge:

  • Cross-platform arbitrage: Identical events command differing valuations across Polymarket and Kalshi (for instance, YES priced at 42 cents on Polymarket, NO at 55 cents on Kalshi — combined expenditure 97 cents, assured $1 settlement)
  • Intra-market arbitrage: Combined YES and NO contract costs on a single venue fall beneath $1.00 (for example, YES at 48 cents plus NO at 50 cents totalling 98 cents). Acquiring both guarantees a 2-cent gain per contract

Why do arbitrage opportunities exist?

Prediction markets operate as disconnected ecosystems across multiple venues, each hosting distinct participant demographics. Polymarket draws technology-oriented and cryptocurrency-savvy participants whilst Kalshi operates within US regulatory frameworks. Divergent knowledge bases and investment philosophies generate pricing inconsistencies. Further contributing elements encompass:

  • Time lags in information dissemination separating different platforms
  • Varying commission schedules influencing net transaction costs
  • Unequal market depth — shallow venues exhibit exaggerated swings following significant announcements
  • Friction in transferring capital between venues, slowing equilibration

How to spot arbitrage opportunities

Continuous manual surveillance proves impractical for institutional arbitrageurs. A structured methodology proves essential:

  1. Map equivalent markets — compile a reference document correlating matching questions across venues (Polymarket, Kalshi, Betfair, Metaculus)
  2. Monitor price feeds — leverage application programming interfaces (Polymarket's CLOB API, Kalshi's REST API) to retrieve midpoint valuations at regular intervals of 30 seconds
  3. Calculate the arb spread — whenever Venue A YES combined with Venue B NO totals under $1.00, an arbitrage materialises. Deduct all applicable charges from both positions to determine actual profit
  4. Execute simultaneously — timing proves crucial. Place limit orders across both venues concurrently to secure the spread before market equilibration

Real-world example

Throughout the 2024 US election cycle, the proposition "Will Biden drop out?" commanded 32 cents YES on Polymarket and 72 cents NO on a European exchange — yielding a combined cost of $1.04. This presented no arbitrage. However, roughly 120 minutes following initial speculation regarding withdrawal, Polymarket reached 58 cents whilst the European venue remained at 65 cents NO. During this narrow timeframe, the aggregate expense equalled 58 plus (100 minus 65) equalling 93 cents — representing a 7-cent guaranteed profit per contract.

Risks and limitations

Prediction market arbitrage lacks genuine "riskless" characteristics:

  • Execution risk: Valuations fluctuate between initiating the primary and secondary transactions
  • Settlement risk: Separate platforms may interpret and conclude identical questions divergently
  • Capital lockup: Invested capital remains committed until final market determination (potentially spanning extended periods)
  • Fee erosion: Trading commissions, withdrawal charges, and market impact collectively diminish your profit margin
  • Counterparty risk: A venue may encounter financial distress or face regulatory intervention

⚠️ Incorporate every conceivable expense (trading commissions, withdrawal charges, blockchain transaction fees) when assessing profitability. A 3-cent opportunity vanishes entirely if expenses total 4 cents.

Tools for prediction market arbitrage

Multiple resources facilitate opportunity identification:

  • PolyGram's portfolio analytics — supervise holdings spanning multiple venues with instantaneous profit-and-loss calculations at polygram.ink/analytics
  • Custom scripts — automated systems leveraging Polymarket's application programming interface to identify cross-venue valuation gaps
  • Community alerts — Slack channels and social media groups circulate identified opportunities (though these dissipate rapidly once publicised)

Prepared to translate arbitrage concepts into tangible trading results? Start trading on PolyGram →

James Carlton
Crypto Analyst — On-Chain Flows

James covers DeFi research and writes for PolyGram on USDC flows, the Polymarket Polygon order book, and conditional-token mechanics.