Gold Risk/Reward Calculator: R Multiple and Break-Even

Risk/reward compares what a gold trade can lose with what it can gain, and reduces that comparison to one number: the R multiple. Enter your entry, stop and target below to see the ratio, the dollars at stake at your lot size, and the win rate the setup needs just to break even.

where the idea is wrong
1 standard lot = 100 oz
used for expectancy
Check the levels: for a long, the stop must sit below the entry and the target above it. For a short, the reverse.
Risk / reward
—
reward ÷ risk
Risk per ounce
—
entry to stop
Reward per ounce
—
entry to target
Risk in dollars
—
if the stop is hit
Reward in dollars
—
if the target is hit
Break-even win rate
—
needed at this R
Expectancy at your win rate
—
average result per trade, before spread and commission

Break-even win rate by risk/reward

The same arithmetic runs in reverse: if you fix the ratio, the required hit rate falls out of it. Nothing here depends on gold, only on the geometry of the trade.

Risk / rewardReward per 1RWin rate to break evenWin rate for a 20% edge
0.5 : 10.5R66.7%80.0%
1 : 11.0R50.0%60.0%
1.5 : 11.5R40.0%48.0%
2 : 12.0R33.3%40.0%
3 : 13.0R25.0%30.0%
4 : 14.0R20.0%24.0%

A 20% edge here means twenty percentage points above break-even, not a 20% return. The point of the table is that a 2R trade can be wrong nearly two times out of three and still not lose money.

What R actually measures

Every trade carries one honest unit of risk: the distance from entry to stop, converted into dollars at the size you trade. That distance is 1R. A target twice as far away is 2R, a stop trailed to breakeven is 0R, and a position closed early at half the stop distance is 0.4R. Recording results in R makes a 0.10 lot scalp and a 2 lot swing directly comparable, which is why professional desks keep their books this way.

R is fixed before the trade, not after it. The moment you widen a stop to avoid being taken out, the risk you thought you had is not the risk you carry, and every historical R in your journal becomes fiction. If the stop needs to move, the position is usually too large for the account.

The formulas this calculator uses

Risk per ounce = |entry − stop| Reward per ounce = |target − entry| R multiple = reward per ounce ÷ risk per ounce Risk in dollars = risk per ounce × (lots × 100) Reward in dollars = reward per ounce × (lots × 100) Break-even win rate = 1 ÷ (1 + R)

For a standard gold lot the multiplier is 100 ounces, so a one-dollar move in XAU/USD is worth $100 per lot, $10 per mini lot and $1 per micro lot. That conversion is the only place contract size enters the calculation; the ratio itself is price-based and therefore identical whether you trade 0.01 or 10 lots. Size changes the dollars at stake, never the R.

Break-even win rate follows from R alone. At 1R you must be right half the time to stay level. At 2R, one win in three covers two losses; at 3R, one in four. This is why traders who insist on a high win rate often end up with a worse curve than traders who accept being wrong most of the time at 3R — provided the stops are real and the targets reachable.

A worked example

You buy 0.50 lots of XAU/USD at $4,180 with a stop at $4,150 and a target at $4,240. Risk per ounce is $30 and reward per ounce is $60, so the trade is 2R. Fifty ounces make the dollar figures concrete: $1,500 at risk against $3,000 of potential profit, and a break-even win rate of 33.3%.

Now assume the setup wins 45% of the time. Expectancy per trade is 0.45 × $3,000 minus 0.55 × $1,500, which is $1,350 minus $825 — a positive $525, or 0.35R. Over a hundred identical trades that is roughly $52,500 of expected profit, with the caveat that drawdowns of several R in a row are entirely normal at a 45% hit rate.

Costs belong inside the calculation, not beside it. If the spread is $5, a long entered at the ask starts $5 behind: risk becomes $35 per ounce and reward $55, so the real ratio is 1.57R and the break-even win rate rises to 38.9%. A setup that looks like 2R on a chart can be 1.5R after execution — exactly the difference between a thin edge and no edge.

Where R calculations go wrong

Putting R to work

Risk/reward and position size are two halves of one decision. R tells you whether a trade is worth taking; sizing tells you how much of the account it deserves. Fix the dollar risk first — commonly 0.5% to 2% of equity — then let the stop distance determine the lots. The position size calculator does that step, and the margin calculator confirms the collateral fits.

Log every closed trade in R, including the ones you cut early, so the average win and loss are measured rather than remembered. If the average win is 1.2R while you keep planning 3R trades, either the targets are unrealistic or the exits are being managed by emotion. The risk management guide covers the portfolio side, and the live gold chart is where the levels get marked.

Prices and lot values here are illustrative and use a 100-ounce standard contract. Contract specifications, leverage tiers and settlement rules for XAUAD positions are listed on the trading specifications page; this tool performs arithmetic only and is not investment advice.

Frequently asked questions

What is a good risk/reward ratio for gold?

Two to one is the usual working floor for discretionary gold trades, because it only demands a 33.3% hit rate to break even. Ratios above 3R look attractive but are rarely filled in full, since gold would have to travel three times the stop distance without a meaningful pullback. Anything below 1.5R needs a genuinely high win rate to survive costs.

How do I calculate risk/reward with lot size?

Take the distance from entry to stop in dollars per ounce, multiply by 100 ounces per standard lot and by your lot size to get the risk in dollars. Do the same with the distance from entry to target for the reward. Divide reward by risk for the R multiple. Lot size scales both numbers equally, so it never changes the ratio itself.

Does a higher risk/reward ratio always mean a better trade?

No. A 5R target that price almost never reaches is worth less than a 1.5R target that fills regularly. What matters is expectancy: win rate times average reward minus loss rate times average risk. A high ratio with a very low hit rate can be worse than a modest ratio with a reliable one, and the honest test is the R distribution in your own trade log.

Open the live gold chart →