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Glossary/Strategy & Analysis/Bankroll Management

Bankroll Management

Bankroll management is the set of rules a prediction market trader uses to allocate capital across positions, limiting per-trade exposure and total risk so that a losing streak does not result in ruin before long-run edge can play out.

Updated June 24, 2026Strategy & Analysis
TL;DR
Bankroll management keeps you in the game long enough for your edge to matter. Even a genuinely profitable strategy fails if bet sizes are too large relative to available capital.

Key Points

The core principle is never risking so much on a single trade that a loss materially impairs your ability to continue trading.
[[kelly-criterion]] provides a mathematically optimal bet-sizing formula; most practitioners use half-Kelly or a fixed maximum percentage (1-5% per trade) to reduce variance.
Diversification across multiple uncorrelated markets reduces the impact of any single bad outcome on overall bankroll.
Drawdown limits, such as stopping trading if the bankroll falls 20% from its peak, prevent escalating losses during periods of poor calibration or bad luck.
Tracking returns relative to starting bankroll (return on investment) rather than absolute dollars helps evaluate strategy performance across different bankroll sizes.

Sizing Positions to Survive Variance

Even a strategy with genuine positive Expected Value will experience losing streaks due to statistical variance. The longer the streak a trader can survive without going broke, the more certain it is that long-run edge materializes as profit. This is the central logic behind bankroll management: it converts a theoretically profitable strategy into a practically profitable one. The Kelly Criterion formalizes this intuition by deriving the position size that maximizes long-run wealth growth. Flat-betting a fixed dollar amount ignores edge variation across trades and is suboptimal. Proportional sizing, where each bet is a fixed percentage of current bankroll, naturally scales down exposure during losing periods and scales up during winning ones, providing a built-in stabilizer.

Practical Rules for Prediction Market Traders

Beyond mathematical sizing formulas, practical bankroll management involves several qualitative disciplines. First, avoid concentrating exposure in correlated markets: holding large positions on multiple political markets in the same election cycle creates correlated risk that is not captured by per-trade limits. Second, account for Trading Fees and Bid-Ask Spread as a recurring drag that reduces effective bankroll over time even without losses on individual positions. Third, separate funds dedicated to prediction market trading from other financial obligations so that a drawdown does not force premature position liquidation. Finally, review win rates, Brier Score, and return on investment regularly to distinguish genuine Edge from variance, and adjust strategy rather than simply increasing bet sizes to recover losses.

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