In this guide
The most common reason skilled forecasters struggle in prediction markets isn't inaccurate forecasting — it's inadequate capital allocation. Even a sound probability assessment becomes worthless if a prolonged losing run destroys your entire stake. This guide outlines the discipline required to safeguard against that outcome.
The Kelly Criterion: The Mathematical Foundation
The Kelly Criterion determines the theoretically optimal percentage 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 sizing. Although Kelly maximises returns under perfect information, real-world probability estimates contain inherent uncertainty, making half-Kelly the superior choice for managing 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
Temporary downturns occur regularly, even amongst traders with genuine edge. Following a 20% decline in capital, halve your position sizes until you climb back to your previous peak. This approach ensures that unfavourable variance doesn't spiral into total ruin.
FAQ
- How much starting capital do I need for serious prediction market trading?
- $500-1,000 allows adequate diversification across 10-20 positions using half-Kelly allocation. Below $100, sizing constraints prevent you from implementing systematic risk management effectively.
- What should I do after a winning streak?
- Increase your scrutiny, not your confidence. Winning runs breed complacency. Maintain your systematic sizing discipline irrespective of recent results.