Crypto Position Sizing: The 1% Risk Rule Explained

Crypto position sizing sets how much you could lose if a stop is hit. See how the 1% risk rule works, with fee-inclusive math, streak odds and its limits.

Note: This guide explains the arithmetic of risk. It is education, not a suggestion to trade. The SEC warns that day traders typically suffer severe financial losses in their first months of trading, and many never become profitable.

What does the 1% risk rule actually say?

The 1% rule is a position-sizing guideline: size each trade so that, if your stop-loss is hit, you lose no more than 1% of your account. On a $10,000 account, the planned loss is $100.

The rule limits the loss, not the position. A 1% risk budget can support a position worth 20%, 50% or even 100% of the account, depending on how far away the stop is. Mixing up “risking 1%” with “putting 1% in” is the most common sizing error, and it produces positions that are either far too small to matter or far larger than intended.

The rule also rests on three assumptions: that you have a stop, that the stop fills near its price, and that each position’s risk is independent of the others. This guide works through the math, then tests each assumption.

The position sizing formula

Three inputs decide the size: the risk budget, the entry price and the stop price.

1. Risk budget = account value × risk percentage.
2. Risk per unit = |entry price − stop price| + fees per unit.
3. Position size in units = risk budget ÷ risk per unit.
4. Position value = units × entry price.

Fees belong in the risk per unit because you pay them whether the trade works or not. With a 0.1% round-trip fee, roughly half is charged on the entry value and half on the exit value. How maker, taker and spread costs add up explains where those costs come from.

Worked example: sizing a hypothetical BTC trade

Suppose you have a $10,000 account, a 1% risk budget, and a hypothetical plan to buy BTC at $60,000 with a stop at $57,000.

• Risk budget: $10,000 × 1% = $100.
• Stop distance: $60,000 − $57,000 = $3,000 per BTC.
• Fees per BTC at 0.1% round trip: $60,000 × 0.05% + $57,000 × 0.05% = $30 + $28.50 = $58.50.
• Risk per unit: $3,000 + $58.50 = $3,058.50.
• Position size: $100 ÷ $3,058.50 = 0.0327 BTC.
• Position value: 0.0327 BTC × $60,000 ≈ $1,961.75, or 19.6% of the account.

Without fees, the size would be $100 ÷ $3,000 = 0.0333 BTC, or $2,000. Including fees trims the position by about $38, so that a stopped-out loss, fees included, is still $100.

Example: Keep the same $3,000 stop but skip the sizing step and buy $5,000 of BTC instead. A stop-out now costs 0.0833 BTC × $3,000 = $250 before fees, or 2.5% of the account. The stop didn’t change; the size turned it into a 2.5% loss.

How stop distance changes the position

Holding the risk budget at $100, the position value is simply $100 divided by the stop distance (fees ignored here):

A tight stop makes the formula ask for a larger position, and below a 1% stop the position exceeds the whole account. That is the point where many traders reach for leverage, which adds liquidation risk on top of stop risk; how leverage accelerates losses shows the math. Where the stop should go, and why it shouldn’t be set just to fit a position, is covered in stop-loss placement and risk per trade.

Why 1% and not 10%? The losing-streak math

Risking a fixed fraction of current equity shrinks each bet after a loss: at $9,000, 1% is $90. It does not stop losses from compounding. Here is a $10,000 account after 10 and 20 consecutive losses:

The recovery columns use gain = loss ÷ (1 − loss), the asymmetry explained in drawdown recovery math.

Fixed fraction versus fixed dollars

There are two ways to apply a risk budget. Fixed-dollar sizing risks the same $100 on every trade, whatever happens to the account. Fixed-fraction sizing risks 1% of the current balance, so the dollar amount shrinks after losses and grows after gains: 1% of $12,000 is $120. The difference shows up in long losing runs:

Fixed-fraction sizing slows the damage because each loss is smaller than the one before. The trade-off is a slower recovery, since the dollar risk only grows again as the balance rebuilds.

How often do long losing streaks happen?

Are 10 losses in a row realistic? More often than intuition suggests. If each trade has an independent 50% chance of losing, the probability of at least one streak of six or more losses in 100 trades is 54.6%:

Small risk per trade is what keeps an ordinary streak from becoming a hole that is hard to climb out of. Deciding how deep a hole you would accept overall is a separate decision, covered in setting a max drawdown limit.

What the 1% rule does not protect you from

Gaps and slippage

A stop order turns into an order to trade once the stop price is reached, and the fill can be significantly different from the stop price when prices move quickly. Crypto markets trade around the clock and are exposed to sudden flash crashes. Suppose the BTC position above is stopped out but fills at $55,000 instead of $57,000: the loss becomes about $165.36 including fees, or 1.65% of the account. A stop-limit order caps the fill price, but there is no guarantee it executes at all, so the position can stay open while the price keeps falling.

Correlated positions

Five open trades that each risk 1% are not five independent risks if the coins tend to move together. In a broad sell-off, all five stops can trigger within the same hour, turning five 1% risks into one $500 loss, or 5% of the account. Count positions that move together as a single combined risk.

Leverage and liquidation

With borrowed money, a venue can close your position before your stop is reached if your margin runs short. The liquidation price, not your stop, becomes the real exit, and regulators warn that leveraged traders can lose more than they put in.

A stop you don’t keep

Moving a stop further away after entry quietly raises the risk above 1%. The rule is only as good as the discipline to leave the stop where it is, which is why emotions get their own guide: FOMO and panic selling.

A strategy without an edge

Sizing controls how much each loss costs, not whether you come out ahead. If your average result per trade is negative after fees, a 1% rule slows the decline but doesn’t reverse it. Expected value in trading shows how to check that from win rate and payoff, and the risk-reward ratio shows the win rate a target needs just to break even. Formulas that promise an “optimal” risk fraction depend on inputs you can’t know precisely, which is why the Kelly criterion is better read as a ceiling than a target.

If you don’t use stops: size by stress loss

Many long-term holders never place stops, so the 1% formula doesn’t apply directly. The equivalent question is how much a holding would cost you in a severe drop. A $2,000 position with no stop loses $1,600 in a hypothetical 80% crash, or 16% of a $10,000 account.

You can turn that around. Divide the loss you could accept by the stress drop: if the limit for one holding is 5% of the account, or $500, the maximum position under an 80% stress scenario is $500 ÷ 0.80 = $625. A stress scenario is not a forecast; it is a way to put a number on the downside before it happens. The portfolio vital signs checklist applies the same thinking across a whole portfolio.

Common position-sizing mistakes

• Sizing by coin count or round numbers. Buying “0.1 BTC” or “$5,000 worth” without reference to the stop leaves the size of the loss to chance.
• Measuring risk from the account’s peak. After a drawdown, 1% of the old high is more than 1% of what you actually have.
• Leaving out fees on tight stops. With a hypothetical $60,000 entry, a 0.5% stop and 0.1% round-trip fees, fees make up 16.63% of the risk per unit.
• Tightening the stop to afford a bigger position. A stop placed to fit the size, rather than the idea, is more likely to be hit by ordinary price swings.
• Raising the risk to win back losses. An account down 10% at $9,000 that switches to 2% risk falls to $7,353.66 after ten more losses, a 26.46% drawdown, versus $8,139.44 (18.61%) at 1%.
• Forgetting open positions. Three open trades at 1% each put 3% at risk at once; decide in advance how much total open risk you will carry.

How position sizing fits the rest of your risk toolkit

Position sizing sits at the center of a set of related questions, and each one has its own guide:

A pre-trade sizing checklist

1. Use the account value today, not its peak.
2. Fix the risk percentage before looking at any chart.
3. Place the stop where the trade idea would be proven wrong, then measure the distance.
4. Add fees and an allowance for slippage to the risk per unit.
5. Compute units and position value. If the value exceeds the account, treat that as a sign the stop is too tight for the budget, not as a reason to borrow.
6. Add up the risk on every open position that tends to move with this one.
7. Place the stop when you enter, and never widen it afterward.

Our position size calculator runs these steps with your own inputs and warns when a position would need leverage to open.

The bottom line

The 1% rule caps the planned loss per trade, not the size of the position, and the formula is short: risk budget divided by risk per unit, fees included. Its protection depends on a stop that fills, positions that aren’t secretly the same bet, and no leverage. Position sizing limits damage; it does not create profit, and for money you can’t afford to lose, the only safe position size is zero.

This content is for education only and is not financial, investment, tax or legal advice. Crypto assets are volatile and you can lose money. Examples use hypothetical numbers. See our disclaimer and editorial policy.