Kelly criterion
๐ณ Evergreenยท last tended 24 Oct 2026quantriskmaths
The Kelly criterion answers one question: given an edge, what fraction of your bankroll maximises long-run growth? For a simple bet it's
f* = edge / odds = (bp - q) / b
where b is the net odds, p your win probability, and q = 1 - p.
Two things matter more than the formula:
- When the estimated edge is non-positive, the long-only stake is zero. This is conditional on the supplied probabilities and payouts, not proof that every possible strategy lacks an edge. The historical crash-game write-up now makes that distinction explicit.
- Full Kelly is too violent. The variance is brutal; the drawdowns will shake you out. Most people who use it size at a fraction of Kelly (a quarter to a half) to trade a little growth for a lot of sleep.
Kelly is only as good as your probability estimate, which is why it sits downstream of honest measurement โ the whole point of validate before automating. It also depends on a real edge existing in the first place, which is what signals like order flow imbalance try to find.
Related: expected value.