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 at -to-1 odds and loses your stake otherwise, the edge is
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
of your bankroll. In words, bet your edge divided by the odds. Bigger edge, bet more; longer odds (bigger ), bet less of your roll because each loss is a bigger fraction of what you risked. For a simple even-money bet () this collapses to just betting your edge, .
Two numbers, two jobs. Edge () tells you whether to bet; Kelly () 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 , a healthy 10 cents of expected profit per dollar. Kelly says bet a fraction , 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 flip | Long-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 , 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.
Discussion
💡 Discussion rules
- Ask and answer about this concept. Off-topic gets removed.
- No homework dumps. Show what you tried first.
- Corrections are welcome. Cite a source when you claim an error.
Loading discussion…
Related concepts
Practice in interviews
Further reading
- Thorp, The Kelly Criterion in Blackjack, Sports Betting, and the Stock Market
- Poundstone, Fortune's Formula