🎁 New traders: 100% Deposit Match up to $500 · 0% fees · instant USDC payoutsClaim it →
Skip to main content
HomeBlog › Kelly Criterion for Prediction Markets: Size Your Bets
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.

Marc Jakob
Senior Editor — Prediction Markets · · 3 min read
✓ Fact-checked · 📅 Updated 1 May 2026 · 3 min read
PolyGram
Trending · Politics · Sports · Crypto
BTC > $150k EOY 2026
38%
Eurovision 2026 Winner
41%
ETH > $8k EOY
33%
Trade →

Key takeaway: The Kelly Criterion determines the optimal proportion of your capital to deploy on each wager, accounting for your probabilistic advantage and available odds. Within prediction markets, this methodology guards against two critical pitfalls: excessive wagering that threatens total capital loss, and conservative wagering that forgoes achievable returns.

The margin between sustained profitability and financial collapse hinges on position sizing discipline. The Kelly Criterion — a mathematical framework introduced by John Kelly, a researcher at Bell Labs, in 1956 — establishes the theoretically ideal stake magnitude for optimising wealth accumulation over extended periods. This guide demonstrates its practical application in prediction market contexts.

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 trading at price c, b = (1 - c) / c

Worked example

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

The Kelly framework recommends deploying 27.2% of your capital. If your total capital is $1,000, this translates to a $272 position in this opportunity.

Why full Kelly is dangerous

The Kelly formula presupposes certainty regarding your genuine probability estimate — an assumption rarely satisfied in practice. Miscalculating your true edge creates severe overexposure risk. Experienced market participants consistently adopt fractional Kelly modifications:

  • Half Kelly (f*/2): The predominant choice among professionals. Surrenders roughly 25% of theoretical maximum gains whilst reducing portfolio swings by half
  • Quarter Kelly (f*/4): Prudent methodology when confidence in edge calculations remains limited
  • Capped Kelly: Establishes a ceiling—typically 5-10% of total capital—per individual market, overriding Kelly calculations when they exceed this threshold

Applying Kelly to multi-market portfolios

Holding concurrent stakes across numerous prediction markets requires recalibration of individual Kelly allocations. The cumulative Kelly fractions across all active positions must stay below 1.0 (your entire bankroll). Practically speaking, restrict aggregate capital deployment to 50% or lower, preserving dry powder for emerging opportunities.

When Kelly does not apply

Kelly's mathematical foundation depends on reliable probability estimation. This assumption collapses under several conditions:

  • Unprecedented or highly ambiguous scenarios lacking comparable historical data
  • Interconnected markets where outcomes influence one another (such as presidential election and legislative control)
  • Situations where your information set offers no advantage relative to prevailing market consensus

Utilise PolyGram's integrated Kelly Criterion calculator to determine appropriate stake sizes prior to execution. The analytical suite encompasses payoff visualisations and maximum drawdown metrics. 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.