In short
Position sizing is the one decision a crypto trader fully controls. The math is simple: choose a fixed percentage of your account to risk, measure the distance from entry to stop-loss, and divide. Risk amount divided by stop distance equals position size. Leverage does not change that number; it only changes how much margin the position ties up. Size every futures trade so a full stop-loss costs the same small, planned fraction of your account. Done consistently, no single trade and no normal losing streak can take you out of the game.
Most traders obsess over entries. They hunt the perfect pattern, the perfect indicator alignment, the perfect moment to click buy.
Entries are probabilistic. Even a strong setup fails often, and nothing you do changes that. Sizing is arithmetic. It is the one lever that decides whether a normal losing streak is a bruise or a funeral. That is why sizing sits at the core of crypto risk management, and why this guide treats it as math, not opinion.
What is different here
The ParadiseTeam sizes every position before debating the entry. The rules: fixed risk percent per trade, a minimum 1:1 reward-to-risk, at most four open positions, and a 30% single-position exposure cap. The sizing rules are not the exciting part of trading. They are the reason the exciting part gets to continue.
Why does position sizing beat entry-picking?
Because losses are asymmetric: the gain needed to recover a loss grows faster than the loss itself. A 20% drawdown needs a 25% gain just to get back to even. A 50% drawdown needs 100%. Position sizing exists to keep every loss in the shallow zone where recovery stays cheap.
| Account drawdown | Gain needed to break even |
|---|---|
| 10% | 11.1% |
| 20% | 25% |
| 30% | 42.9% |
| 50% | 100% |
| 70% | 233.3% |
A drawdown is simply the drop from your account’s peak to its low point. The table above is the whole argument for sizing, compressed. Shallow drawdowns are a normal cost of trading. Deep drawdowns are a hole that most accounts never climb out of.
Run the streak math and it gets sharper. Ten straight losing trades at 1% risk per trade leaves you down about 9.6%. The same ten losers at 10% risk leaves you down about 65%. Both traders took the same entries. Only one of them still has an account.
How do you calculate position size? The risk-per-trade formula
Position size equals risk amount divided by stop distance. Decide the fraction of your account one losing trade may cost, in dollars. Measure the distance from entry to stop-loss as a percentage of entry. Divide the dollar risk by that percentage. The result is your position size.
Step by step, before every trade:
- Fix your risk percent: the account share one loss may cost.
- Convert it to dollars: account size times risk percent.
- Measure the stop distance: entry minus stop, as a percent of entry.
- Divide dollar risk by stop distance: that is the position size.
Position size = (account × risk %) ÷ stop distance %
Prefer to think in coins rather than dollars? Divide the dollar risk by the price gap between entry and stop. That gives the number of units, and both versions produce the same position. The crypto glossary covers any term here you have not met before.
One ordering rule matters more than the formula itself. The stop-loss comes from the chart: it sits at the invalidation level, the price that proves the trade idea wrong. The size then adapts to that stop. Never place the stop where your preferred size can afford it. The stop belongs to the market; the size belongs to you.
This is also why every properly built trade plan carries four numbers: entry, target, stop-loss, and invalidation. That is exactly the 4-Part Signal structure we publish, and those four numbers are precisely the inputs the sizing math needs.
The sizer above is education only, not financial advice. It shows you the arithmetic. The discipline of following it is yours.
Does leverage multiply your risk?
Not if you size correctly. Risk is set by position size and stop distance, and by nothing else. Leverage only decides how much of your own margin the exchange locks up to hold that position. Treat leverage as a divisor of required capital, never as a multiplier of position size.
The myth sounds like this: “I have $1,000 and 10x leverage, so I trade $10,000.” That is margin-first thinking, and it inverts the logic. The professional order runs the other way. Stop distance and risk budget produce the position size first. Leverage then sets the margin: position size divided by leverage.
Leverage does move one thing closer: your liquidation price, the level where the exchange force-closes the position because the margin is gone. At 5x, a roughly 20% adverse move wipes the margin, before fees. Your stop-loss must sit well inside that distance. If liquidation is your stop, you do not have a risk plan. You have a countdown.
What does correct sizing look like with real numbers?
Worked example 1: a $10,000 spot account
Say Bitcoin trades near $62,000 and the setup’s invalidation sits at $58,900, about 5% below entry. The account risks 1% per trade.
- Dollar risk: $10,000 × 1% = $100
- Stop distance: $3,100 on $62,000, which is 5%
- Position size: $100 ÷ 0.05 = $2,000, about 0.032 BTC
If the stop is hit, the loss is roughly $100: one percent of the account, exactly as planned. Notice what never entered the calculation: how confident the setup felt.
Worked example 2: a futures trade at 5x leverage
Same account, same $100 risk budget. An Ethereum perpetual (a futures contract with no expiry date) trades at $3,400, with the stop at $3,298, a 3% distance.
- Position size: $100 ÷ 0.03 = $3,333 notional, about 0.98 ETH
- Margin at 5x: $3,333 ÷ 5 = about $667 locked up
- Stop hit: about $100 lost, 1% of the account
Notional simply means the full dollar value the position controls. The leverage cut the margin from $3,333 to $667. It did not change the risk, because the position size never changed.
Now the margin-first trader, same trade. They put the whole $3,333 up as margin at 5x and control $16,665. The same 3% stop now costs about $500, which is 5% of the account. Same entry, same stop, five times the damage.
What about wide stops, fees, and funding?
A wide stop is not a problem the formula cannot handle. It simply produces a smaller position. If the invalidation sits 10% away, the same $100 budget buys a $1,000 position instead of $2,000. The risk stays at 1% either way.
If the correctly sized position feels too small to bother with, that is information. The trade does not fit your account at that stop. Skip it. Do not widen the risk to make it interesting.
Futures carry two quiet costs that spot does not. Trading fees hit both ends of the position. Perpetual positions also pay or receive funding: a periodic fee, charged every few hours, that keeps futures prices tethered to spot. On a multi-day hold those payments compound into real money, so count them inside the risk budget, not on top of it. Our guide to crypto funding rates covers how to read them before you enter.
Which caps do professionals add on top of the formula?
The per-trade formula alone is not enough, because trades do not fail one at a time. Portfolio-level caps bound the damage when several positions go wrong together. These are the four the ParadiseTeam trades under:
- Fixed risk percent per trade, recalculated on the current account size
- Minimum 1:1 reward-to-risk, or the trade is skipped
- Maximum four positions open at the same time
- No single position above 30% of account exposure
The reason is correlation. In a crypto flush, most altcoins fall together. Four open longs on four different coins behave like one oversized trade, not four independent ones. Caps exist because correlation spikes exactly when you need it not to.
A properly structured signal already carries its risk parameters, so the sizing math has everything it needs before you act. Our guide to how crypto signals work shows where each of those numbers comes from.
What are the most common position sizing mistakes?
Nearly every blown crypto account traces back to one of six sizing errors, not to a bad entry:
- Sizing by conviction: doubling size because a setup “feels certain”
- Margin-first thinking: picking leverage first, then filling the margin
- Skipping the recalculation: risking old dollar amounts after the account shrinks
- Averaging down unsized: adding to a loser with no new stop or budget
- Treating liquidation as the stop: renting a countdown instead of planning an exit
- Ignoring correlation: four altcoin longs behaving as one oversized trade
Every one of these is a sizing decision, which means every one of them is preventable with arithmetic you now have.
Entries decide how often you win. Sizing decides whether you survive long enough for the win rate to matter. Each setup remains a probability read, not a forecast. The sizing math is the only part of the trade with no probability in it. That is exactly why it deserves the first decision, not the last.
Frequently asked questions
What percentage of my account should I risk per trade?
Professional convention sits between 0.5% and 2% per trade, with 1% the most common anchor. The right number is one you could lose ten times in a row without changing your behavior. Futures traders and beginners should start at the low end, and treat anything above 2% as gambling, not sizing.
Does higher leverage mean higher risk?
Not by itself. Risk comes from position size multiplied by stop distance. Leverage decides how much margin the exchange locks and how close liquidation sits. If you size from your stop first, a leveraged position can carry the same dollar risk as a spot position. Unsized leverage is what destroys accounts.
Should I use the Kelly criterion for crypto position sizing?
The Kelly criterion computes a mathematically optimal risk fraction, but it requires accurate win-rate and payoff estimates, which crypto rarely provides. Estimation error makes full Kelly overbet badly. Most professionals use fixed fractional sizing instead, which behaves like a conservative fraction of Kelly and survives being wrong about your own edge.
What is the difference between per-trade risk and portfolio risk?
Per-trade risk is what one stop-loss costs you. Portfolio risk is the sum of every open stop plus the correlation between positions. Crypto assets often fall together, so four open trades at 1% each can behave like a single 4% bet. Caps on concurrent positions keep that sum honest.
Related: Crypto risk management · The 4-Part Signal · Crypto trading guides
Crypto trading involves substantial risk and is not suitable for everyone. Nothing here is financial advice; it is education only. Never risk more than you can afford to lose.
