The standard advice fits on a sticky note: never risk more than 1% of your account on a single trade. It is good advice, it has kept a lot of traders alive, and it stops being simple the moment you trade futures on a funded account. The 1% number assumes things that a $250 stop on one micro contract and a trailing drawdown rule quietly break.
So it is worth doing this properly. Here is where the 1% rule comes from, what it looks like in dollars, and how the futures reality (a fixed contract, a fixed stop, a prop firm's hard limit) changes the calculation you actually run.
The 1% rule is really a rule about surviving losing streaks. If you risk 1% per trade, ten losses in a row cost you roughly 10% of the account, which is recoverable. Risk 10% per trade and the same ten losses take about two-thirds of it, which usually is not. The point was never that 1% is magic. It is that small, consistent bets make a normal bad run survivable, and a system that loses more often than it wins will hand you plenty of normal bad runs.
Notice what the rule protects against: not being wrong once, but being wrong several times in a row while your size is still large enough to matter. That distinction is the whole game.
The percentage is a tool for surviving a losing streak, not a target to hit on every trade. Pick a per-trade dollar risk you could lose eight to ten times in a row without flinching or breaking a rule, then size every trade back to that number. If a position cannot be sized down to it, you skip the trade.
Translate the percentage into money, because dollars are what you actually risk. Here is 1% of some common account sizes, next to what a single fixed $250 stop represents on each:
| Account size | 1% per trade | A $250 stop is this % of the account |
|---|---|---|
| $25,000 | $250 | 1.0% |
| $50,000 | $500 | 0.5% |
| $100,000 | $1,000 | 0.25% |
| $250,000 | $2,500 | 0.1% |
Read the right-hand column. A fixed $250 risk is a full 1% of a $25,000 account but only a tenth of a percent of a $250,000 one. The dollar risk did not change, the account did. This is the first place the tidy 1% rule meets the futures reality, and it is why the question is never "what percentage" in the abstract. It is "what percentage does my actual stop, on my actual contract, work out to on my actual account."
Stocks let you buy 137 shares or 4,000. You can size a position to almost exactly 1%. Futures do not work that way. You trade in whole contracts, and the smallest unit, one micro, already carries a fixed dollar value per point. On MNQ a point is $2, so a 100-point stop is $200 whether you like that number or not. You cannot trade 0.6 of a contract to fine-tune the risk to a round percentage.
That means the real sequence is backward from the textbook. You do not pick 1% and buy that many shares. You pick a dollar risk, check what one contract's stop costs, and see how many whole contracts fit under your limit. Often the honest answer on a small account is "one contract, and that is already more than 1%." The arithmetic that converts a stop into those dollars is covered in position sizing for automated futures, and it is the constraint that decides your size far more than any percentage rule does.
The Algomyth engine places its stop and target at entry, with the target set at three times the risk, and the figures published for a $50,000 account are the Medium sizing level. Say a given trade risks $250. On that $50,000 account, $250 is 0.5% of the balance, comfortably inside the 1% guideline with room to spare. Drop the same $250 stop onto a $25,000 account and it becomes a full 1%. Move it to a $100,000 account and it is a quarter of a percent.
The lesson is not that one of these is right. It is that the percentage is an output, not an input. Your stop is set by the market and the strategy, your account is whatever it is, and the percentage falls out of the two. If that output is uncomfortably high, the fix is a larger account or a smaller contract, not a wider mental tolerance. How much account you actually need for this is worked out in how much money you need to start.
Enter your account size and your stop, and the calculator shows the dollar risk and what share of the account it represents.
On your own money, 1% is measured against your whole balance. On a funded account, the number that can end you is not your balance at all. It is the distance to the account's drawdown limit, and that limit usually trails.
Suppose a 50k evaluation allows a $2,500 trailing drawdown. Early on, before you have banked any profit, your entire buffer is $2,500, and a $250 risk is 10% of that buffer, not 0.5% of anything. Four or five losing trades, an ordinary run for a system whose target sits at three times its risk, can put the account under real pressure regardless of what the "1% of $50,000" math says. This is why funded-account risk has to be measured against the drawdown limit, explained in how trailing drawdown works, and why the daily loss limit can end a day before your per-trade risk ever gets the chance. The relevant percentage on a funded account is risk against the buffer, and it is a much bigger number than it looks.
Hypothetical performance. References to the Algomyth engine backtest, including its sizing levels and its results, come from a simulation over historical data, not from a live account. Simulated results are prepared with hindsight, carry no financial risk, and cannot fully reflect real execution or slippage. Past performance, real or simulated, does not guarantee future results.
There is no single correct number, but there are clear edges. Risk enough that a normal losing streak, five to eight trades for a system that only needs to be right one time in four, would either breach a funded rule or scare you into switching the system off, and you are risking too much. That second failure is the quiet one. The size does not have to bankrupt you to ruin the result, it only has to be large enough that you cannot sit through a drawdown you would otherwise have recovered from. Most people who fail with a working system fail there, not at the account level.
So the practical version of the rule, for one micro contract on a funded account, is less about a percentage and more about a question. Could you take eight of these losses in a row and still run the system tomorrow, both under the account's rules and in your own head? If yes, the size is fine. If no, it is too big no matter what the percentage says.
A common starting point is no more than 1% of your account on a single trade, and less while you are new. The more useful framing for futures is to pick a fixed dollar risk you could lose eight to ten times in a row without breaching a rule or panicking, then size every trade to that. On a small account trading one micro contract, that often works out higher than 1%, which is a sign to trade a smaller instrument or fund a larger account rather than to raise your tolerance.
The idea behind it works, but the clean arithmetic does not, because futures trade in whole contracts with a fixed dollar value per point. You cannot fine-tune a position to exactly 1% the way you can with shares. Instead you pick a dollar risk, calculate what one contract's stop costs, and take the whole number of contracts that fits underneath. The percentage is the result of that, not the starting point.
Divide the dollar risk by the account size. A $250 stop is 1% of a $25,000 account, 0.5% of a $50,000 account and 0.25% of a $100,000 account. The stop stayed the same, only the denominator changed. This is why the same trade can be conservative on one account and aggressive on another, and why you should always run the number for your own balance.
Against the drawdown limit, always. On a funded account the balance is not your money and cannot be lost by you, so what ends the account is hitting the trailing drawdown, which makes that buffer the real denominator. Early in an evaluation the buffer is small, which turns a modest dollar risk into a large percentage of what actually matters. Measure risk against the limit, not the headline account size.
Because losses compound against you faster than wins compound for you, and because a system that does not need to win most of its trades will produce long losing streaks by simple arithmetic. Larger per-trade risk turns a survivable streak into a fatal one and makes it far more likely you switch the system off at the worst moment. The reward-to-risk ratio and the win rate together, not raw bet size, are what carry a system over time.
Everything we write comes back to one idea: verify, then decide. The live terminal exists for exactly that.
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