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Guide

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.

Marc Jakob
Senior Editor — Prediction Markets · · 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 receives different valuations across separate platforms — or when the combined cost of YES and NO contracts on a single venue falls below $1. Though infrequent, these opportunities offer minimal-risk returns, and recognising them sharpens your trading acumen considerably.

Prediction market arbitrage represents a cornerstone tactic for institutional and professional market participants. Rather than wagering directionally on outcomes, arbitrage capitalises on valuation discrepancies independent of actual results. This examination explores the underlying principles, available resources, and inherent challenges.

What is prediction market arbitrage?

Arbitrage entails the concurrent acquisition and disposal of an identical instrument across distinct venues to capitalise on pricing divergence. Within prediction markets, two principal variants emerge:

  • Cross-platform arbitrage: An identical event commands disparate valuations across Polymarket and Kalshi (e.g., YES quoted at 42 cents on Polymarket, NO at 55 cents on Kalshi — aggregate expenditure 97 cents, assured $1 settlement)
  • Intra-market arbitrage: YES and NO share valuations on a single venue aggregate below $1.00 (e.g., YES at 48 cents plus NO at 50 cents equals 98 cents). Acquiring both guarantees a 2-cent gain per unit

Why do arbitrage opportunities exist?

Prediction markets operate across dispersed platforms servicing distinct participant demographics. Polymarket draws technology-focused digital-asset traders whereas Kalshi operates under US regulatory frameworks. Divergent analytical perspectives and capital allocation preferences generate pricing inconsistencies. Contributing elements encompass:

  • Asynchronous dissemination of market-moving intelligence between venues
  • Heterogeneous commission structures influencing realised prices
  • Uneven capital availability — constrained markets exhibit exaggerated swings during significant announcements
  • Friction in transferring capital between platforms creating temporal lags

How to spot arbitrage opportunities

Hands-on surveillance proves insufficient for professional arbitrage traders. A structured methodology includes:

  1. Establish market equivalencies — construct a reference table correlating identical questions across venues (Polymarket, Kalshi, Betfair, Metaculus)
  2. Track quotation streams — leverage application programming interfaces (Polymarket's CLOB API, Kalshi's REST API) retrieving midpoint valuations at 30-second intervals
  3. Quantify the arbitrage margin — whenever Platform A YES combined with Platform B NO totals beneath $1.00, an opportunity materialises. Deduct transaction expenses from both components to establish genuine profit
  4. Transact concurrently — timing proves essential. Submit limit instructions simultaneously across both platforms to secure the margin before convergence occurs

Real-world example

Throughout the 2024 US election cycle, "Will Biden drop out?" commanded 32 cents YES on Polymarket and 72 cents NO on a UK-based exchange — yielding a $1.04 aggregate outlay. No opportunity existed at that moment. However, roughly 120 minutes following initial speculation regarding withdrawal, Polymarket shifted to 58 cents whilst the UK venue remained at 65 cents NO. For a constrained interval, the aggregate expenditure reached 58 plus (100 minus 65) equals 93 cents — delivering a 7-cent risk-free return per unit.

Risks and limitations

Arbitrage within prediction markets lacks genuine "risk-free" characteristics:

  • Execution risk: Quotations shift whilst completing the complementary transaction
  • Settlement risk: Platforms may interpret identical questions through divergent lenses at conclusion
  • Capital immobilisation: Reserves remain committed through market conclusion (potentially spanning extended periods)
  • Expense deterioration: Trading commissions, withdrawal charges, and market impact can obliterate profitability
  • Institutional risk: A venue might encounter financial distress or regulatory enforcement action

⚠️ Incorporate every expense category (commissions, withdrawals, blockchain transaction fees) when evaluating arbitrage viability. A 3-cent opportunity evaporates if expenses total 4 cents.

Tools for prediction market arbitrage

Multiple instruments facilitate opportunity identification:

  • PolyGram's portfolio analytics — supervise holdings across venues with instantaneous profit-and-loss computation at polygram.ink/analytics
  • Bespoke automation — Python applications leveraging Polymarket's API to systematically examine inter-platform valuation discrepancies
  • Collective intelligence networks — Slack workspaces and social media channels disseminate identified opportunities (though closure accelerates once publicised)

Prepared to translate arbitrage methodology into tangible returns? Start trading on PolyGram →

Marc Jakob
Senior Editor — Prediction Markets

Marc has covered prediction markets and crypto order flow since 2018. Writes for PolyGram on market structure, on-chain settlement, and regulatory developments.