In this guide
The primary culprit behind skilled forecasters' struggles in prediction markets is seldom inaccurate forecasting — it's inadequate bankroll stewardship. Even a sound probability assessment becomes worthless if a prolonged losing run depletes your entire capital. Below is the disciplined approach that safeguards against this outcome.
The Kelly Criterion: The Mathematical Foundation
Kelly Criterion establishes the theoretically ideal percentage of your capital to deploy on 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 delivers mathematical optimality under known probability conditions, our real-world probability assessments carry inherent uncertainty, 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
Inevitable periods of underperformance occur regardless of genuine edge. Following a 20% decline in capital, cut your position sizes in half until you climb back to your previous peak. This approach ensures that temporary setbacks do not spiral into account destruction.
FAQ
- How much starting capital do I need for serious prediction market trading?
- $500-1,000 furnishes adequate resources to construct a diversified portfolio spanning 10-20 positions using half-Kelly allocation. Below $100, sizing constraints prevent you from executing a methodical, rules-based framework effectively.
- What should I do after a winning streak?
- Exercise heightened caution, not complacency. Consecutive wins breed confidence bias. Maintain your disciplined allocation methodology regardless of short-term success.