In this guide
The most common way skilled forecasters stumble in prediction markets isn't through inaccurate forecasts — it's through mismanaging their capital. Even a well-calibrated probability assessment becomes worthless if a prolonged losing run depletes your entire stake. This guide outlines the discipline required to avoid that fate.
The Kelly Criterion: The Mathematical Foundation
Kelly Criterion determines the theoretically ideal proportion of your capital to allocate to each trade: f = (bp - q) / b
- b = net odds received (e.g., if YES costs 0.40, b = 1.5)
- p = your probability estimate
- q = 1 - p
- Result: optimal fraction of bankroll for this position
In practice: employ half-Kelly instead. Whilst Kelly delivers mathematical optimality when probabilities are certain, our forecasts always carry estimation error, making half-Kelly the superior choice for risk-adjusted performance.
Hard Rules: Never Break These
- Maximum 5% of bankroll per single position — no exceptions regardless of conviction
- Maximum 25% of bankroll in any single correlated cluster — e.g., all US election markets
- Stop-loss: if you lose 25% of your starting bankroll in a month, stop trading for the rest of the month
- Never add to a losing position to "average down" — reevaluate the fundamental thesis first
Drawdown Recovery
Even traders with genuine edge experience periods of statistical underperformance. Following a 20% drawdown, cut your position sizes in half until you climb back to your previous peak. This approach shields you from turning a difficult patch into account destruction.
FAQ
- How much starting capital do I need for serious prediction market trading?
- $500-1,000 gives sufficient resources to build a diversified portfolio across 10-20 positions using half-Kelly allocation. Below $100, position sizing constraints prevent you from implementing sound systematic approaches.
- What should I do after a winning streak?
- Increase your critical thinking, not your confidence. Winning runs breed complacency. Maintain discipline with your systematic sizing framework regardless of how recent trades have performed.