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How Much to Risk Per Trade: Win Rate, Risk-to-Reward and Expectancy

How to choose a risk percentage per trade, why losing streaks and drawdown math favour small risk, how expectancy works and how to turn risk into position size.

· 9 min read

TL;DR

Risk per trade is the percentage of your account you lose if the stop-loss is hit. Many traders keep it between 0.5% and 2%, because losses compound: five straight losses at 10% leave about 59% of the account and need a gain of roughly 69% to recover. Whether a strategy pays depends on expectancy, which combines win rate with the size of average wins and losses, not on win rate alone.

Before any entry, a trader has to settle how much of the account the trade is allowed to cost if it fails. The answer should not depend on how good the setup looks. It is a fixed percentage, chosen in advance, that decides the size of every position. This article covers the arithmetic of losing streaks, how win rate and reward-to-risk combine into expectancy, and how to turn a risk percentage into a position size.

What risk per trade means

Risk per trade is the amount you lose if your stop-loss is hit, written as a percentage of account equity. It is not the size of the position and it is not the margin used. On a $10,000 account, 1% risk means you lose about $100 if the stop is hit, whether the position is worth $5,000 or $50,000. The distance to the stop decides how large the position can be.

Traders often call that amount 1R, one unit of risk. A trade that makes twice its risk is +2R, and a trade stopped out is -1R. Counting in R makes results comparable across instruments and account sizes. It also hides nothing: slippage, gaps and spread can make the real loss larger than 1R, so the planned figure is a target, not a guarantee.

Why the percentage matters: losing streaks compound

Each loss comes off a smaller balance, and each recovery has to climb from a lower base. If every trade risks the same fraction of current equity, the balance after a run of losses and the gain needed to get back are:

Equity after n losses = start x (1 - r)^n Gain needed to recover = 1 / (1 - drawdown) - 1

Here is five consecutive losses from a $10,000 start, risking a fixed percentage of the current balance each time:

Risk per tradeBalance after 5 lossesDrawdownGain to recover
1%$9,509.904.90%5.15%
2%$9,039.219.61%10.63%
5%$7,737.8122.62%29.24%
10%$5,904.9040.95%69.35%

If you instead risk a fixed 10% of the starting balance, $1,000 every time, five losses cost $5,000. That is a 50% drawdown and needs a 100% gain to recover. Either way, a streak that a 1% trader barely notices is a crisis for a 10% trader.

The recovery column grows faster than the loss, which is why large drawdowns are so costly:

DrawdownGain needed to get back to the old high
10%11.1%
20%25.0%
30%42.9%
50%100.0%
70%233.3%

Losing streaks are normal, not rare

At a 50% win rate, the chance that any particular run of five trades is all losses is 0.5 to the power of 5, about 3.1%. That sounds unlikely. Across 100 trades, though, the chance of seeing at least one run of five straight losses is about 81%. At a 40% win rate, where losses come 60% of the time, it is about 98%.

These figures assume each trade is independent of the last, which real trades are not quite. Strategies also go through stretches where the market simply does not suit them, and those can produce longer runs. The practical conclusion is that a streak is a routine cost of trading, and risk per trade should be small enough to survive several of them without panic.

Common ranges, and what they are based on

Many traders and educators work with a risk of 0.5% to 2% per trade, and 1% is a frequent starting point. These are conventions, not laws of finance. The right number depends on your strategy's win rate and payoff, how many positions you hold at once, and how much drawdown you can live with without breaking your own rules.

Correlation matters too. Long EUR/USD and long GBP/USD are both partly a bet against the US dollar, so two 1% trades behave more like one 2% trade. Many traders add a cap on total open risk, for example 3% to 5% across all positions, and a daily or weekly loss limit at which they stop and review. A smaller account is not a reason to risk a larger percentage.

Win rate is not enough: expectancy

Win rate says how often trades win. It says nothing about how much they win or lose. Expectancy combines both and gives the average result per trade, in R:

Expectancy (R) = (win rate x average win) - (loss rate x average loss) Example: 40% wins averaging 3R, 60% losses averaging 1R 0.40 x 3 - 0.60 x 1 = +0.6R per trade

On that arithmetic, 100 trades would average 60R in total. At 1% risk per trade, 60R is 60% of the starting equity, before compounding, spread and commissions. This is an illustration of how the formula works, not a forecast. Real expectancy is estimated from a trading record, and an estimate from 20 trades is very noisy.

A high win rate can still be a poor system. If you win 70% of trades but average only 0.5R on wins and 1R on losses, expectancy is 0.70 x 0.5 - 0.30 x 1 = +0.05R. A cost of a few hundredths of an R per trade, from spread or commission, would erase it.

Reward-to-risk and the break-even win rate

The reward-to-risk ratio compares the planned target distance with the stop distance. It sets the win rate you need just to break even:

Break-even win rate = 1 / (1 + reward-to-risk)
Reward-to-riskBreak-even win rate
0.5 : 166.7%
1 : 150.0%
1.5 : 140.0%
2 : 133.3%
3 : 125.0%

Spread, commission and financing push the real break-even higher, because they make every loss slightly larger and every win slightly smaller. There is also a trap in reading this table too optimistically. The ratio on your chart is a target, not an outcome, and win rate and reward-to-risk are linked: targets that are further away are reached less often. A 3 : 1 ratio only helps if the market actually gets there often enough. Measure it from a journal of real trades.

From a risk percentage to a position size

Risk amount = account equity x risk % Lots = risk amount / (stop distance in pips x pip value per lot)

Take a $10,000 account risking 1%, so $100. A trader buys EUR/USD at 1.0850 with a stop at 1.0810, which is 40 pips. For a pair quoted in US dollars, one pip on a standard lot of 100,000 units is $10.

Lots = 100 / (40 x 10) = 0.25 Check: 0.25 lots x 40 pips x $10 = $100

If the stop must be 80 pips away, the position halves to 0.125 lots, rounded down to 0.12, so the dollar risk stays at about $100. The stop is set by the chart first, and the size follows from it. Never work the other way round by choosing a size and then moving the stop to fit.

When the quote currency is not your account currency, the pip value changes. For USD/JPY at 150.00 on a USD account, one pip on 100,000 units is 0.01 / 150.00 x 100,000 = $6.67. With a 50-pip stop and $100 of risk, lots = 100 / (50 x 6.67) = 0.30. For more on pips and lot sizes, see Pips, Lots and the Bid/Ask Spread Explained. To set the stop from market volatility, see Bollinger Bands, ATR and Volatility-Based Position Sizing.

Rules that keep risk per trade honest

  • Fix the percentage before the trade and change it only on a schedule you set in advance, not after a win or a loss.
  • Calculate size from the stop distance, and round down.
  • Cap total open risk and set a loss limit for the day or week.
  • Decide in advance the drawdown at which you pause and review, for example 10%.
  • Remember that a stop is not a guarantee. Gaps and fast markets can fill it at a worse price.

Whether to size from current equity or the starting balance is a choice with a trade-off. Current equity shrinks the dollar risk after losses and enlarges it after wins, which slows drawdowns and compounds gains. A fixed dollar amount keeps results simple to read but makes drawdowns steeper in percentage terms.

Risk management does not make a strategy profitable. It decides whether you are still trading after the bad stretch that every strategy has. Trading leveraged products carries a real risk of loss, and nothing here is advice on what you should risk.

Sources: all figures are calculated from the formulas shown, using invented prices. Expectancy and R-multiples follow the definitions in Van K. Tharp's Trade Your Way to Financial Freedom. Next in the series: Leverage and Margin Trading Explained.

Quick answers

Is 1% risk per trade the right amount?

It is a common starting point, not a rule. The right figure depends on your strategy, how many trades you hold at once and the drawdown you can tolerate. Many traders stay between 0.5% and 2%.

Does a 1:3 reward-to-risk ratio mean I only need a 25% win rate?

Before costs, 25% is the break-even point for a 3 : 1 payoff, but only if your targets are actually reached that often. Spread and commission raise the figure, and further targets tend to be hit less often.

Should I risk a percentage of my current balance or my starting balance?

A percentage of current equity shrinks your dollar risk after losses, which slows drawdowns. A fixed amount based on the starting balance is simpler but makes drawdowns steeper. Either works if you apply it consistently.

How many losses in a row should I plan for?

Plan for at least five, and test your account against ten. At a 40% win rate, a run of five losses is very likely to appear within 100 trades, and ten straight losses at 1% risk costs about 9.6% of the account.

This article is general information, not investment advice. Trading CFDs, forex, crypto and commodities carries a high level of risk and may not be suitable for everyone. Past results do not guarantee future performance.

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