A risk-per-trade calculator works out the exact Rand amount you're putting at risk on a single trade, based on your account balance and a chosen risk percentage. Enter your balance and percentage, and the tool returns a clear Rand figure to size the trade around, rather than an abstract percentage that's easy to lose track of mid-trade.
This is often the very first number calculated in a full trade plan, since position size, stop-loss placement, and profit targets are all typically built around a defined risk-per-trade amount.
This calculator is for educational purposes only. Results are estimates and may vary depending on market conditions, spreads, commissions, platform settings, and exchange rates. It should not be considered financial advice.
A fixed percentage automatically adjusts as your account grows or shrinks, which most risk-conscious traders prefer over a fixed Rand amount that stays static regardless of account changes. This automatic scaling means a 1% rule continues to represent genuinely 1% of your current capital whether your account has grown or shrunk since you started, without requiring you to manually update a fixed figure every time your balance changes. Some traders do use a temporarily fixed Rand amount during a specific evaluation period, but percentage-based sizing remains the more common long-term default for good reason.
There's no single correct figure, but the 2% rule of account balance per trade is a commonly cited starting range, with more conservative traders sometimes risking less, particularly when still building confidence in a strategy's genuine track record. The right figure for you depends on your strategy's win rate and risk-reward ratio, your personal tolerance for drawdown, and how many trades you typically place, so treat any generic benchmark as a reasonable starting point to adjust from rather than a fixed rule that applies identically to everyone.
Some traders do vary risk slightly based on setup conviction, though many risk-management approaches favour keeping risk consistent to avoid subjective, emotion-driven sizing decisions creeping into what should be a mechanical process. If you do choose to vary risk by setup quality, it's worth defining in advance, using objective criteria, exactly what qualifies as a higher-conviction setup, rather than deciding in the moment based on how confident a trade happens to feel, which is a much less reliable signal than it intuitively seems.
A basic single-trade calculator typically doesn't if you're holding several correlated positions simultaneously, total account risk can exceed the per-trade figure shown here, since each position's risk is calculated independently without reference to what else you're currently holding. It's worth manually tracking total open risk across all current positions, particularly when they share a common underlying driver, rather than assuming that each individually-calculated per-trade risk figure automatically stays within a safe combined total.
Risk per trade describes the maximum you're willing to lose on a single position, but total portfolio risk at any moment is the sum of the risk across every position currently open, which can be considerably higher than any individual trade's figure if several positions are open simultaneously. This becomes particularly important when those open positions are correlated several trades that would all lose money in the same market scenario, such as multiple long USD pairs during a broad USD decline since a single adverse scenario can trigger losses on all of them together rather than affecting just one isolated trade. Some traders address this by tracking correlation risk across the whole account, setting a maximum total portfolio risk limit separate from the per-trade limit, and reducing individual position sizes when several correlated trades are open at once to keep the combined exposure within that broader limit.
Many experienced traders and risk managers do recommend that newer traders start at the more conservative end of typical ranges, sometimes 0.5% or even less, rather than immediately trading at 1-2%. The reasoning isn't that 1-2% is inherently unsafe, but that beginners are simultaneously learning their strategy's real win rate and risk-reward profile, refining their execution consistency, and building emotional discipline around losses all at once, while real money is at risk. A smaller risk percentage reduces the Rand cost of the inevitable mistakes and learning-curve losses that come with this process, part of building discipline as a new trader, buying more room to learn without a proportionally larger risk of significant account damage during that learning period. As a track record develops and both strategy and execution become more consistent and better understood, gradually increasing risk toward a more standard range is a reasonable progression, rather than starting at the higher end from day one.
With fixed-percentage risk per trade, the absolute Rand amount at risk naturally decreases during a losing streak, since each loss reduces the account balance that the percentage is calculated against this is one of the built-in protective features of percentage-based sizing compared to a fixed Rand amount that doesn't adjust. Some traders go further and deliberately reduce their risk percentage itself, not just the Rand amount that naturally follows from a shrinking balance, after a certain number of consecutive losses or a certain drawdown threshold, as an additional layer of caution during a period that might indicate either normal statistical variance or a genuine change in strategy performance. Whether to add this extra layer, especially when dealing with a losing streak, is a personal risk management choice, but the built-in reduction from percentage-based sizing alone already provides meaningful protection compared to maintaining a fixed Rand risk throughout a losing streak.
These two factors combine to determine your total risk exposure over a given period, which matters for understanding your account's overall volatility beyond any single trade. A trader risking 1% per trade but placing 40 trades a month has considerably more capital cycling through risk over that month than a trader risking the same 1% but placing only 5 trades, even though their per-trade risk setting is identical. This is part of why very active trading styles, such as day trading or scalping, often use smaller risk percentages per individual trade than lower-frequency swing or position trading approaches the higher trade frequency means the cumulative risk exposure over a day or week can add up meaningfully even at a conservative per-trade percentage. There's no fixed formula linking the two, but it's worth considering your typical trade frequency when settling on a risk-per-trade figure, rather than choosing that figure in isolation.
There's no requirement to use an identical risk percentage across every instrument you trade, and some traders deliberately vary it based on factors like an instrument's typical volatility, their level of experience or track record with that specific instrument, or how correlated it tends to be with other positions they commonly hold. That said, keeping risk percentage consistent within a given instrument or strategy makes it considerably easier to evaluate performance afterward, since inconsistent sizing muddies the relationship between a strategy's actual edge and its realised Rand results. A reasonable middle ground many traders use is a consistent baseline risk percentage as a general rule, with a defined, deliberate adjustment say, a reduced percentage for a newer or historically more volatile instrument rather than varying risk on an ad hoc, case-by-case basis.
Start with your genuine, honest tolerance for a losing streak, since even a strategy with a strong long-run edge will produce strings of consecutive losses from time to time purely through normal statistical variance. Consider how you'd realistically respond, both financially and emotionally, to five or six losses in a row at your chosen risk percentage if that scenario would create financial pressure or push you toward abandoning your strategy or making emotional decisions, your risk percentage is likely too high regardless of what any general guideline suggests. From there, factor in your strategy's actual, ideally logged, win rate and risk-reward ratio if you have them, since a strategy with a stronger statistical edge can reasonably support a somewhat higher risk percentage than one that's still unproven, without a correspondingly higher risk of ruin. It's also worth considering your broader financial situation outside of trading capital that represents money you genuinely cannot afford to lose warrants a more conservative approach than genuinely discretionary capital set aside specifically for trading, regardless of how confident you feel in your strategy. Your trading timeframe and frequency matter too: a strategy placing many trades per week compounds a chosen risk percentage far more often than one placing a handful of trades per month, which is worth weighing when the same percentage figure might feel appropriate for one style but too aggressive when applied at a much higher frequency. Finally, treat your chosen risk percentage as a starting point to revisit periodically as your track record grows, rather than a permanent decision made once and never reconsidered see How Much of My Savings Should I Risk Trading? for related guidance on the broader capital allocation question.
Excessive risk per trade doesn't just make individual losses larger in isolation it compounds the mathematical relationship between losing streaks and drawdown severity in a way that catches many traders by surprise. At 1% risk per trade, a streak of 10 consecutive losses reduces an account by roughly 9.6%, a meaningful but recoverable decline. At 5% risk per trade, the same 10-loss streak reduces the account by roughly 40%, requiring a 67% gain just to recover. At 10% risk per trade, that same streak produces a decline of roughly 65%, requiring a gain of nearly 190% to recover a scenario from which very few trading accounts genuinely recover. The streak length itself doesn't need to be unusual or extreme to produce this outcome; strings of 8-10 consecutive losses are well within normal statistical variance even for strategies with perfectly respectable win rates in the 40-55% range, meaning this isn't a remote, unlikely tail scenario but something a genuinely profitable strategy will encounter periodically over a long enough trading career. What makes this particularly dangerous in practice is that the psychological pressure of a mounting losing streak often pushes traders toward increasing risk further still, in an attempt to recover losses more quickly precisely the wrong response mathematically, since it accelerates the account toward the kind of unrecoverable decline this calculation illustrates rather than away from it. This is the core mathematical reason risk-per-trade, more than almost any other single variable, determines whether a string of losses that would be a minor, unremarkable setback at conservative sizing becomes an account-ending event at aggressive sizing.
These three elements form a single connected calculation, even though they're often discussed separately. Your risk-per-trade percentage, applied to your account balance, produces a Rand risk amount this is what this calculator shows. Your stop-loss placement, decided from the trade setup itself rather than an arbitrary distance, determines how far price needs to move against you before that Rand risk amount is actually realised. Position size is then the number that makes these two figures consistent it's calculated specifically so that if your stop-loss is hit, the loss equals your intended Rand risk amount and nothing more. Changing any one of the three affects what the other two need to be: a wider stop-loss, for the same risk-per-trade amount, requires a smaller position size, while a larger risk-per-trade amount, for the same stop-loss distance, allows a larger position size. A useful way to internalise this relationship is to think of risk-per-trade as the fixed constraint you decide first and rarely change, stop-loss placement as something decided fresh for each individual trade setup based on genuine technical structure, and position size as simply the output that reconciles those two inputs never the starting point itself. Understanding this as one integrated decision, rather than three separate ones made independently, is what makes tools like our Position Size Calculator and Lot Size Calculator genuinely useful they perform exactly this connected calculation, using your risk-per-trade figure and stop-loss distance to solve directly for the position size that keeps everything consistent. See What Is Position Sizing and How Do I Calculate It? for the fuller version of this same calculation.
This range is widely cited because it allows an account to withstand a realistic losing streak without severe damage, while still allowing meaningful account growth from winning trades, an evidence-informed middle ground rather than an arbitrary figure.
Not necessarily, some traders deliberately vary risk slightly based on setup conviction, though maintaining broad consistency, particularly while still building a track record, tends to produce more analysable, predictable results.
They're directly connected, for a fixed Rand risk, a wider stop-loss requires a smaller position size, and a tighter stop allows a larger position size, while keeping the same overall Rand amount at risk.
Using current equity (including unrealised gains or losses on open positions) generally gives a more accurate, conservative reflection of your true available risk capital than a static account balance figure.
Not reliably, while higher risk can accelerate growth during winning periods, it also accelerates losses during losing periods, and meaningfully increases risk of ruin, faster growth isn't guaranteed, only faster variance in either direction.