The answer

The answer: how much should you risk per trade?

Asked what percentage to risk on a single trade, the most honest answer is that no single number settles it. The 1% and 2% figures you see everywhere are useful starting points for learning money management, but they are not safe levels that apply to everyone. The right risk-per-trade percentage follows from the maximum drawdown you can absorb, how often you trade, how many positions you hold at once, how far a weekend or news gap could push you past your intended loss, and whether your trading capital is genuinely separated from money you need to live on.

So instead of declaring one number safe, this article gives you a framework you can work through yourself. Using a single, consistent fictional educational dataset, we look at how far equity sinks through 1%, 2% and 3% losing streaks under fixed-fractional risk, how much gain it then takes to recover, and how to design daily, weekly and monthly risk budgets. Turning a percentage into an actual position size is left to the companion lessons; here we concentrate on risk percentage, streaks, recovery and period budgets. For the wider picture, the FX & CFD Lot Size Calculation Guide maps the full learning path.

Assumptions and terms

Assumptions and terms: risk percentage, fixed-dollar, fixed-fractional

Before going further, three terms are worth pinning down. Your risk-per-trade percentage is the amount you decide in advance you are willing to lose on one trade, expressed as a share of account equity. On a ¥1,000,000 balance at a 2% risk percentage, the permitted loss per trade is ¥20,000. Position size is then worked back from your stop-loss distance, which is the starting point of any lot size calculation. The conversion into a tradable size is covered step by step in the forex lot size formula article.

There are then two broad ways to take that risk. Fixed-dollar risk keeps the loss amount per trade constant (say ¥20,000 every time) regardless of the balance. Fixed-fractional risk applies a set share of the current balance (say 2% each time), so the loss amount automatically shrinks as losses accumulate. This difference strongly shapes how equity falls during a streak. Because the fixed-dollar amount does not change as the balance drops, the effective risk percentage of your account quietly creeps up while you are losing. Fixed-fractional risk, by contrast, decays more gently because the currency loss contracts alongside the balance.

Unless stated otherwise, the comparison chart, tables and simulator in this article all use fixed-fractional risk. That choice lets a single simple expression, balance = start × (1 − r)^n, describe the balance after a streak, where r is the risk percentage and n is the number of consecutive losses. This model excludes spread, commissions, swap, tax, execution slippage and liquidation. In a real account those factors can make outcomes worse, so treat that as an assumption baked in from the start.

Decision process

How to choose your risk percentage

Choose a risk percentage by feel and you tend to discover, only after a losing run, that it was above what you could actually absorb. Working through the points below before you pick a number keeps you from scrambling later. The 2% rule described in CME Group educational material is itself presented with the 2% figure as an arbitrarily chosen guideline, not a rule or a guarantee. The practical stance is to treat that example as a starting point and then move it up or down for your own conditions.

These are not a colour-coded pass/fail score; they are the raw material for choosing your own rate. Deciding the maximum-drawdown tolerance first, in particular, makes the per-trade percentage much easier to narrow down by working backwards. The next section puts numbers on how a streak actually erodes the balance.

Visualising streaks

Losing streaks: 1%, 2% and 3% compared

The same “losing streak” erodes equity very differently depending on the per-trade risk percentage. The chart below indexes the starting balance to 100 (a ¥1,000,000 start shown as an index) and overlays the balance curves for 1%, 2% and 3% through twenty consecutive losses under fixed-fractional risk. The lines are distinguished by colour and by line style (solid, dashed, dotted) as well as numeric labels. Everything is a fictional educational example, not real performance.

The numbers make the gap even clearer. The table below summarises the balance, drawdown and the gain needed to return to the starting balance after 5, 10 and 20 fixed-fractional losses, starting from ¥1,000,000.

Ten 2% losses leave about ¥817,073 — roughly an 18.3% drawdown, requiring about a 22.4% gain to get back to even. Twenty 3% losses cut the balance to nearly half (about 54.4%), and recovery then demands around 84%. Because the length of a losing streak is not fixed by win rate alone, looking at this “if it continues” case in advance is the foundation for choosing a rate.

Asymmetry

The loss-to-recovery asymmetry: why deeper wounds heal harder

Drawdown is treacherous because the fraction you lose and the fraction needed to recover it do not match. Lose 10% and you only need 11.1% to get back — a small gap. But lose 20% and you need 25%, lose 30% and you need about 42.9%, and lose 50% and you need 100% to recover, meaning you must double what remains. This is the loss-to-recovery asymmetry, and it is why the recovery burden climbs so steeply as wounds deepen. The formula is gain needed = loss fraction ÷ (1 − loss fraction).

It is precisely this asymmetry that makes “losing only within recoverable limits” the heart of money management. In the previous table, the 3% streaks turned punishing so quickly because the gain required to recover jumps as drawdown deepens. Raising your risk percentage to claw back a deep loss also inflates the risk of sinking further at the same time. How to set the stop-loss distance itself is covered in the article on sizing a position from stop-loss distance.

Clearing up a myth

Why win rate alone cannot set the right risk

The idea that “a high win rate means no streaks, so I can raise my risk percentage” is shaky on several counts. First, even with a high win rate, one large loss can sink equity badly. Second, at the same win rate the pattern of streaks is left to chance, and a 70% win rate can still produce several losses in a row.

More importantly, real trades are not perfectly independent. Even with an identical backtested win rate, a shift in market regime (trend giving way to range, or the reverse) can cluster losses. Holding highly correlated instruments at once makes them stop together in a bad session, so streaks bunch up. Weekend and news-time gaps do not guarantee that a stop fills at the requested price, so they can turn into a larger loss than expected. That is why win rate should never be read alone: read it together with average win/loss, trade count and maximum drawdown, and set risk percentage from how many consecutive losses you can withstand. When you want to examine a strategy’s own losing-streak behaviour and robustness, the strategy risk and robustness lab is useful.

Aggregate risk

Simultaneous positions and aggregate risk: even 1% adds up

Even if you carefully hold each trade to 1%, holding several at once changes the picture. When positions are close to independent, the combined loss on a bad day approaches the sum of the individual risks. Hold six 1% positions at once and, in the worst case, you can face roughly 6% aggregate drawdown all together. A low-correlation mix dampens the combined swing, but stacking the same currency pair or indices that move together effectively approaches “one large position,” so a simultaneous stop makes the losses pile up.

So if you plan to hold positions simultaneously, you need to set an upper limit on the aggregate risk you may take at once, not just a per-trade rate. Handling that aggregate risk, currency concentration and correlation is covered in the article on aggregate risk across multiple positions, while the total risk of adding entries later, as in averaging down or pyramiding, is covered in the averaging-down and pyramiding risk-budget article.

Risk budget

Period risk budgets and rule design

A per-trade risk percentage does not stand on its own. In practice, managing risk on three layers — the single trade at the base, an aggregate cap for simultaneous positions, and a loss budget for each period such as the day, week and month — holds up better. The diagram below shows how the three layers relate. It is not that a wider base is more stable; rather, the upper layer (the period budget) caps how far the whole account can sink.

To put it into a record, set numeric limits in advance — for example “1–2% of balance per trade,” “aggregate open risk up to 4–6%,” and “stop new entries once you hit −3% for the day or −6% for the week.” Then log actual results in your trade journal and reconcile how much of the budget you have used after each trade. You can begin in a spreadsheet, but once you want to manage multiple accounts or track rule drift continuously, moving to a tool that handles risk budgets and trade records makes the routine easier. Starting by fixing your per-trade loss budget with the free calculator is the least demanding order to work in.

Learning aid

Losing-streak and recovery simulator

Enter a starting balance, risk percentage and number of consecutive losses, and the mini-calculator below shows the balance at each step, the cumulative drawdown and the gain needed to recover the original balance, in a table and a chart, under fixed-fractional risk. It applies no pass/fail or “safe” label. The calculation runs entirely in your browser and neither transmits nor stores your inputs. First, so it stays readable with JavaScript disabled, here is a static table for the defaults (¥1,000,000 start, 2% risk, 10 losses).

This calculation is a simplified learning aid based on the real lot size calculator, not a replacement for it. The rounding only rounds the displayed balance to the whole yen, and it includes no spread, commissions, swap, tax, execution slippage or liquidation. In reality you will not lose exactly the same share every time, and a gap can push the loss beyond the estimate. For a concrete estimate that includes contract specifications, enter your own account conditions in SG Group’s free lot size calculator.

Check it free

Checking it in the free calculator, and where higher tiers help

Once you have chosen a risk percentage in your head, the next step is to turn “how much this rate loses on one trade, and what position size that means” into concrete numbers. For a single position, the free lot size calculator estimates the input-derived position size (an estimated upper bound derived from your inputs, not investment advice), the estimated loss and risk percentage at your stop, the required margin and margin usage, effective leverage, and a reverse check from a chosen lot — as estimates for FX, CFD, XAUUSD, index and crypto CFDs — and it also offers URL sharing and result copy/save. Because pricing can change, it is not fixed in this text; check the current range on the plans page.

If you only need to check the single “per-trade rate” this article covers, the free tier is enough. Once you move on to aggregate risk across simultaneous positions, concentration in one currency, correlation, or the average price and total risk of averaging down, Pro’s multi-position analysis comes into view. And when you want to manage daily, weekly and monthly risk budgets and rule drift continuously, and work with an encrypted Vault, trade records and stress scenarios that account for fast markets and gaps, Premium’s risk-budget features apply. Feature names, scope and pricing can change, so check the current service and plan pages before use. Starting free and considering a higher tier only where a specific problem actually appears keeps the progression manageable.

Avoid

Common mistakes and how to avoid them

Mistakes around risk percentage tend to fall into a few patterns. If any sound familiar, that is where to start reviewing.

• Not planning for streaks: raising the rate on the basis of win rate, then only noticing the deep drawdown once a streak arrives.
• Raising the rate after a loss: lifting the rate to claw back a loss quickly, then sinking further under the asymmetric recovery burden.
• Staying on fixed-dollar through a streak: not lowering the loss amount as the balance falls, so the effective risk percentage climbs unnoticed.
• Ignoring the aggregate of simultaneous positions: 1% each, but stacking correlated instruments to carry large combined risk.
• Having no period budget: relying on the per-trade rule alone, with no daily, weekly or monthly loss cap or pause rule.
• Ignoring gaps: assuming the stop fills at the requested price and not accounting for gaps, fast markets and slippage.

Summary

Summary: the answer and your next step

There is no single correct answer to “how much should you risk per trade.” One percent and 2% are one starting example; the real level follows from your maximum-drawdown tolerance, trading frequency, simultaneous positions and correlation, gap risk and separation from essential funds. On a fixed-fractional basis, ten 2% losses leave about 81.7% of the balance and twenty 3% losses sink it to about 54.4%, while the gain needed to recover jumps asymmetrically as wounds deepen. That is exactly why planning for streaks in advance, and not raising the rate after a loss, is the crux.

In practice: (1) decide your maximum-drawdown tolerance first, (2) work the per-trade risk percentage back from it, (3) set an aggregate cap for simultaneous positions, (4) record daily, weekly and monthly loss budgets with a pause rule, and (5) turn your own conditions into numbers with the free calculator. Work in that order and you will rarely be far off.

Related

Related reading

Browse the rest of the English articles in the article library.