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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.

Priya Anand
Sports Editor — Odds & Form · · 4 min read
✓ Fact-checked · 📅 Updated 1 May 2026 · 4 min read
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Key takeaway: Prediction market arbitrage emerges when identical events carry disparate prices across separate platforms — or when the combined cost of YES and NO contracts on a single venue falls below $1. Such opportunities, though infrequent, do materialise and represent genuine edge for disciplined traders.

Prediction market arbitrage stands as a cornerstone tactic for institutional and sophisticated independent traders alike. Rather than wagering directionally on outcomes, arbitrage capitalises on mispricing across venues — generating returns irrespective of the actual result. This article examines the underlying principles, available resources, and common obstacles.

What is prediction market arbitrage?

Arbitrage involves purchasing and simultaneously offloading an identical instrument across separate markets to exploit price discrepancies. Prediction markets host two principal variants:

  • Cross-platform arbitrage: An identical event commands different valuations on Polymarket versus Kalshi (for instance, YES quoted at 42 cents on Polymarket, NO at 55 cents on Kalshi — combined outlay 97 cents, assured $1 settlement)
  • Intra-market arbitrage: YES and NO contracts within one market total beneath $1.00 (such as YES priced at 48 cents plus NO at 50 cents equalling 98 cents). Acquiring both guarantees a 2-cent return per unit purchased

Why do arbitrage opportunities exist?

Prediction markets operate as disconnected ecosystems, each with distinct participant populations. Polymarket draws technology-focused speculators whereas Kalshi caters to institutional US-based investors. Divergent analytical frameworks and appetite for risk generate pricing anomalies. Contributing variables encompass:

  • Temporal lags in data transmission separating different venues
  • Varying commission schedules influencing net execution costs
  • Uneven depth of order books — shallow venues exhibit exaggerated swings following significant developments
  • Friction in deposit and withdrawal processes constraining rapid capital redeployment

How to spot arbitrage opportunities

Continuous manual surveillance proves impractical for institutional arb operations. A methodical framework includes:

  1. Catalogue matching markets — construct a reference table connecting equivalent contracts across venues (Polymarket, Kalshi, Betfair, Metaculus)
  2. Track price streams — leverage application programming interfaces (Polymarket's CLOB API, Kalshi's REST API) to capture mid-market quotations at 30-second intervals
  3. Compute the spread — whenever Platform A YES combined with Platform B NO totals under $1.00, an arbitrage exists. Deduct applicable costs from both trades to determine net gain
  4. Act with speed — timing proves critical. Deploy limit orders simultaneously on each leg to capture the spread before convergence

Real-world example

Throughout the 2024 US election cycle, "Will Biden step aside?" carried 32 cents YES on Polymarket and 72 cents NO on an offshore platform — combined expense of $1.04. No opportunity presented itself. However, following initial speculation about withdrawal, Polymarket shifted to 58 cents whilst the offshore venue remained anchored at 65 cents NO. During this brief interval, the aggregate cost was 58 plus (100 minus 65) equalling 93 cents — yielding a 7-cent guaranteed profit per contract purchased.

Risks and limitations

Arbitrage within prediction markets carries genuine hazards despite its theoretical safety:

  • Execution risk: Valuations shift whilst completing the counterbalancing transaction
  • Resolution risk: Separate platforms may interpret the same event outcome differently
  • Capital immobilisation: Invested capital remains tied up until final settlement (potentially spanning extended periods)
  • Cost drag: Trading commissions, withdrawal charges, and market impact can eliminate projected gains
  • Operational risk: A venue could experience financial failure or face regulatory intervention

⚠️ Factor in every expense (trading commissions, withdrawal charges, blockchain gas) before confirming profitability. A 3-cent opportunity vanishes entirely if expenses total 4 cents.

Tools for prediction market arbitrage

Multiple platforms facilitate opportunity identification:

  • PolyGram's portfolio analytics — supervise holdings across venues with instantaneous performance metrics at polygram.ink/analytics
  • Bespoke automation — Python applications leveraging Polymarket's API infrastructure to identify cross-venue pricing anomalies
  • Peer networks — Slack channels and social media groups broadcast emerging opportunities (though windows compress rapidly upon disclosure)

Prepared to translate arbitrage concepts into live trading? Begin trading on PolyGram →

Priya Anand
Sports Editor — Odds & Form

Priya benchmarks sports prediction-market lines against traditional sportsbooks. Specialism: Premier League, NBA, and the major European cup competitions.