In this guide
The primary factor behind skilled forecasters struggling in prediction markets is not inaccurate forecasting — it's inadequate capital preservation. Even a sound probability assessment becomes worthless if a prolonged losing run depletes your funds entirely. This guide outlines the methodology to safeguard against this outcome.
The Kelly Criterion: The Mathematical Foundation
The Kelly Criterion determines the theoretically ideal proportion of your capital to allocate to each wager: 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 represents mathematical optimality under certainty, our probability assessments carry inherent error margins, 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 inevitable downturns from normal variance. Following a 20% drawdown, scale back your position sizes by half until you return to your previous peak. This approach ensures temporary adversity does not escalate into permanent damage.
FAQ
- How much starting capital do I need for serious prediction market trading?
- $500-1,000 furnishes adequate resources to construct a balanced portfolio across 10-20 positions using half-Kelly allocation. Below $100, sizing constraints prevent effective application of disciplined methodologies.
- What should I do after a winning streak?
- Exercise greater caution, not complacency. Successful runs breed false confidence. Maintain your disciplined sizing framework independent of recent outcomes.