In this guide
The most common reason skilled forecasters struggle in prediction markets isn't inaccurate forecasting — it's inadequate capital preservation strategy. Even a sound probability assessment becomes worthless if a prolonged losing run depletes your entire stake. This guide outlines the essential approach to safeguard against this outcome.
The Kelly Criterion: The Mathematical Foundation
Kelly Criterion determines the theoretically ideal proportion of your stake 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: use half-Kelly. Whilst Kelly delivers mathematical optimality under certainty, our probability assessments carry inherent estimation error, making half-Kelly a 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
Temporary downturns occur regularly, even for traders with genuine edge. Following a 20% drawdown, scale back your position sizes by half until you reach your previous peak. This approach prevents a rough patch from escalating into ruin.
FAQ
- How much starting capital do I need for serious prediction market trading?
- £350–£700 (approximately $500–1,000) allows adequate diversification across 10–20 positions using half-Kelly allocation. Below £70 (approximately $100), sizing constraints undermine your capacity to execute disciplined, systematic methods.
- What should I do after a winning streak?
- Maintain heightened scrutiny rather than reducing it. Successful runs breed complacency. Adhere to your predetermined sizing discipline irrespective of short-term results.