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Edge and Bet Sizing

Two questions decide whether a bet makes you money — do you actually have an edge, and how much of your bankroll should you risk on it. Positive edge is only permission to bet; the size is what keeps you alive to collect it.

Prerequisites: Expected Value, The Kelly Criterion

Every trade or bet asks you two separate questions, and beginners answer only the first. Question one: do I have an edge? — is the expected value in my favor, as computed in Expected-Value Games. Question two, which decides whether the edge ever turns into money: how much do I bet? You can have a real, positive edge and still go broke by betting too much, and you can waste a fine edge by betting too little. Sizing is not a footnote to the edge; it's half the game.

Your edge is your expected profit per dollar staked. For a bet that wins with probability pp at bb-to-1 odds and loses your stake otherwise, the edge is

edge=pb(1p).\text{edge} = p\,b - (1 - p).

That's just the expected value of a one-dollar bet: probability of winning times what you win, minus probability of losing times what you lose. A positive edge means "over many repetitions this makes money." It says nothing yet about how much to put at risk.

Sizing: bet edge over odds

The sizing rule that maximizes long-run growth is the Kelly criterion: bet the fraction

f=edgeb=pb(1p)bf^\star = \frac{\text{edge}}{b} = \frac{p\,b - (1-p)}{b}

of your bankroll. In words, bet your edge divided by the odds. Bigger edge, bet more; longer odds (bigger bb), bet less of your roll because each loss is a bigger fraction of what you risked. For a simple even-money bet (b=1b = 1) this collapses to just betting your edge, f=2p1f^\star = 2p - 1.

Two numbers, two jobs. Edge (pb(1p)pb - (1-p)) tells you whether to bet; Kelly (f=edge/bf^\star = \text{edge}/b) tells you how much. Edge is permission; size is survival.

Worked example: the 55% coin

You can bet any fraction of your $1,000 bankroll on a coin that lands your way 55% of the time, at even money. The edge is 2(0.55)1=0.102(0.55) - 1 = 0.10 — a healthy 10 cents of expected profit per dollar. Kelly says bet a fraction f=0.10f^\star = 0.10, i.e. $100 on the first flip, then 10% of whatever your bankroll becomes after each result.

The temptation is to think "I've got a big edge, let me press it." Watch what over-betting does to the same favorable coin:

Fraction bet each flipLong-run outcome
5% (half-Kelly)grows steadily at ~¾ the top rate, gentle swings
10% (full Kelly)fastest possible growth — but stomach-churning drawdowns
20% (twice Kelly)growth rate collapses to zero — you drift nowhere
30%+ (over-betting)growth turns negative — near-certain ruin over time

The edge never changed — the coin is favorable in every row. What changed is that betting too much lets variance compound against you faster than the edge compounds for you. Past twice Kelly, a favorable bet becomes a wealth destroyer.

The penalty for betting too little is mild — you just grow slower. The penalty for betting too much is ruinous and asymmetric: past twice the Kelly fraction, even a genuinely winning bet drives your bankroll to zero. When unsure, bet less.

Why real traders bet a fraction of the "right" size

Kelly assumes you know your edge exactly. You never do. Your win probability is an estimate, and estimates are optimistic exactly when it matters — the bets you found most attractive are the ones where you most likely overestimated the edge, a cousin of the winner's curse. Because over-betting is punished so much harder than under-betting, the sane response to uncertainty is to shrink. Most practitioners bet half Kelly or less, which keeps roughly three-quarters of the growth for far less than half the variance. The same logic drives real Position Sizing on trading desks: size to a risk budget, not to a fragile point estimate of the edge.

Rule of thumb: compute the Kelly size, then bet half of it. You give up little growth, you buy a large cushion against overestimating your own edge, and you sleep through the drawdowns.

The interview version

The canonical prompt is exactly the biased coin: "a coin lands heads 60% of the time, you can bet any fraction of your bankroll at even odds — what fraction maximizes long-run growth?" The edge is 2(0.6)1=0.202(0.6) - 1 = 0.20, so full Kelly is 20% and the slick answer notes you'd more likely run half that in practice. The trap the interviewer is watching for is the person who says "bet it all" — that maximizes expected wealth but guarantees eventual ruin, the whole reason sizing exists as a separate discipline from finding the edge.

Related concepts

Practice in interviews

Further reading

  • Thorp, The Kelly Criterion in Blackjack, Sports Betting, and the Stock Market
  • Poundstone, Fortune's Formula
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