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Guide

Kelly Criterion for Prediction Markets: Size Your Bets

How to use the Kelly Criterion to optimally size prediction market bets. Formula, examples, and a practical calculator for Polymarket traders.

James Carlton
Crypto Analyst — On-Chain Flows · · 3 min read
✓ Fact-checked · 📅 Updated 1 May 2026 · 3 min read
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Key takeaway: The Kelly Criterion determines the optimal proportion of your total funds to wager, accounting for your statistical advantage and available odds. Within prediction markets, this method guards against two critical pitfalls: deploying excessive capital (which threatens account liquidation) and deploying insufficient capital (which squanders earning potential).

How you allocate capital across individual trades separates consistently profitable operators from those facing insolvency. The Kelly Criterion — a mathematical framework established by John Kelly, a researcher at Bell Labs, during 1956 — delivers the theoretically ideal wager magnitude for optimising wealth accumulation over extended periods. This guide demonstrates its practical implementation in prediction market environments.

The Kelly formula

For a binary prediction market (YES/NO), the Kelly fraction is:

f* = (p * b - q) / b

Where:

  • f* = proportion of total capital to allocate
  • p = your assessed likelihood of a successful outcome
  • q = likelihood of an unsuccessful outcome (1 - p)
  • b = net odds (payout / stake). For a prediction market share at price c, b = (1 - c) / c

Worked example

Suppose you assess a 60% probability that an event concludes YES. The current market valuation stands at 45 cents (reflecting an implied 45% probability).

  • p = 0.60, q = 0.40
  • b = (1 - 0.45) / 0.45 = 1.222
  • f* = (0.60 * 1.222 - 0.40) / 1.222 = (0.733 - 0.40) / 1.222 = 0.272

According to Kelly, you should commit 27.2% of available funds. If your account holds $1,000, this corresponds to a $272 position in this particular opportunity.

Why full Kelly is dangerous

The Kelly formula rests on the assumption that your probability assessment is precise — an assumption rarely satisfied in practice. Miscalculating your informational edge produces severe overexposure. Seasoned market participants consistently adopt fractional Kelly approaches:

  • Half Kelly (f*/2): The predominant choice among professionals. Surrenders approximately 25% of theoretical maximum returns whilst cutting volatility in half
  • Quarter Kelly (f*/4): Prudent methodology when confidence in edge calculations remains limited
  • Capped Kelly: Establish an absolute ceiling — typically 5-10% of total capital — for any individual market, overriding Kelly calculations when necessary

Applying Kelly to multi-market portfolios

Once you maintain concurrent stakes across numerous prediction markets, the individual Kelly percentages require recalibration. The cumulative allocation across all active positions must remain at or below 1.0 (representing 100% of available capital). Operationally, restrict aggregate deployment to 50% or less, preserving dry powder for emerging opportunities and managing payment flows through deposit and withdrawal channels.

When Kelly does not apply

Kelly presupposes reliable quantification of your genuine probability edge. Multiple scenarios undermine this assumption:

  • Situations characterised by extreme ambiguity (unprecedented circumstances lacking historical reference points)
  • Markets exhibiting statistical dependence (such as presidential election outcomes and legislative chamber composition, which move together)
  • Opportunities where your analytical capability offers no meaningful advantage relative to prevailing market consensus

Leverage PolyGram's integrated Kelly Criterion calculator to determine position magnitude before executing any transaction. The analytical suite encompasses payoff visualisations and maximum drawdown projections. 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.