Direct Answer
Crypto position sizing is deciding how many dollars go into one specific position, either as a percentage of your total crypto allocation or as your maximum dollar risk divided by the distance to your stop. It's one input to a full risk plan, not a standalone decision: the same $2,000 position can be reasonable or reckless depending on what else is already open and how closely those other positions are correlated.
Key Takeaways
- Portfolio allocation, how much total wealth is exposed to crypto, and position sizing, how much of that allocation goes into one asset, are separate decisions, a disciplined overall allocation doesn't automatically make individual position sizes safe.
- Allocation-based sizing caps a single asset at a percentage of crypto holdings; stop-based sizing derives position size from maximum dollar risk divided by stop-loss percentage, they suit different types of positions.
- Total open risk is the sum of planned dollar risk across every open position at once; five separate "1% risk" trades can add up to 5% of an account at risk simultaneously even though no single trade looks large alone.
- Positions that share a dependency, such as the same base blockchain, stablecoin, exchange, or narrative, tend to move together under stress, so their combined risk should be sized as one exposure rather than several independent bets.
- The page's worked example shows three "independent" 1%-risk trades totaling a nominal 3% open risk, but because two of them depend on the same token, the effective risk concentrated in that one asset is closer to 2%, with only 1% genuinely independent.
What Is Crypto Position Sizing?
Crypto position sizing is deciding how many dollars go into one specific position, either as a percentage of your total crypto allocation or as your maximum dollar risk divided by the distance to your stop. It's one input to a full risk plan, not a standalone decision: the same $2,000 position can be reasonable or reckless depending on what else is already open and how closely those other positions are correlated.
Position Sizing vs. Portfolio Allocation
Portfolio allocation is how much of your total wealth is exposed to crypto overall. Position sizing is how much of that crypto allocation goes into one specific asset or trade. Getting the portfolio allocation right doesn't automatically make individual position sizes correct, a trader with a disciplined 8% crypto allocation can still put 40% of that allocation into a single altcoin.
Two Ways to Size a Position
Allocation-based sizing caps a single asset at a percentage of the crypto allocation, for example, no more than 10% of crypto holdings in any one altcoin. It suits longer-term holdings that don't have a specific exit price, and it controls concentration without requiring an invalidation level.
Stop-based sizing derives the position from a maximum dollar risk and a stop distance: position size = maximum dollar risk ÷ stop-loss percentage. It suits active trades with a defined invalidation point, and it controls the dollar loss if the thesis is wrong rather than the position's total value.
The full formula, worked example, fee/slippage handling, and leverage math live on the crypto position-size calculator: use it to run stop-based sizing against your own numbers. This page focuses on what happens once you have more than one position sized this way.
Total Open Risk: Why One Trade's Size Isn't the Whole Picture
Total open risk is the sum of the planned dollar risk across every open position at once, not just the trade you're about to place. Four trades each risking $200 add up to $800 of total open risk, 4% of a $20,000 account, even though no single trade looks large in isolation.
A common mistake is applying the same per-trade risk limit (say, 1%) to every new trade without checking the running total. Five "1% risk" trades opened independently can add up to 5% of the account at risk simultaneously, which is a very different exposure than any single trade suggests.
Correlation: When "Different" Positions Share the Same Risk
Positions in different tokens that depend on the same blockchain, narrative, or liquidity source tend to move together during market stress, so their combined risk can behave like one large position rather than several independent ones. A token, a liquid-staking position built on that token, and a lending position collateralized by it can all fall at once if the base asset drops, three line items, one underlying risk.
Before sizing a new position, it's worth asking whether it shares a dependency with something already open: the same base blockchain, the same stablecoin, the same exchange, or the same broad narrative (e.g., a specific Layer 2 ecosystem). If it does, size it as an addition to an existing exposure, not as an independent bet.
Leverage, Fees, and Slippage Still Apply
Stop-based sizing assumes the stop fills at its trigger price, fees are negligible, and there's no leverage, none of which is guaranteed on a crypto exchange. Leverage adds a liquidation price that can sit before the stop; round-trip fees and slippage widen the realized loss beyond the raw stop-distance calculation. The crypto position-size calculator accounts for all three directly; the dedicated leverage and liquidation risk guide covers the mechanics in more depth.
Worked Example: Sizing Three Positions Together
Hypothetical example, for education only.
A $20,000 account with a 1% max risk per trade ($200) opens three positions, each individually sized using the stop-based formula:
| Position | Asset | Planned risk | Shares same base network as |
|---|---|---|---|
| A | Token X (Layer 2) | $200 | N/A |
| B | Token X liquid-staking derivative | $200 | Position A |
| C | Unrelated Layer 1 token | $200 | N/A |
Nominal total open risk is $600 (3% of the account) across three "independent" 1%-risk trades. But positions A and B both depend on Token X, if it drops sharply, both are likely to hit their stops together, so the effective risk concentrated in Token X is closer to $400 (2%) in one underlying asset, with only $200 (1%) genuinely independent in position C. Sized this way, position A or B should arguably be reduced, or the two treated as one $400-risk position when deciding whether to add a fourth trade.
Common Mistakes
- Sizing each trade in isolation, checking per-trade risk without tracking total open risk across all positions.
- Treating correlated tokens as independent, several positions tied to the same network or narrative can fail together.
- Confusing position value with position risk, a $5,000 position isn't automatically a $5,000 risk; it depends on the stop distance.
- Ignoring leverage, fees, and slippage, the raw stop-based formula understates the realized loss once costs and liquidation are included.
- Resizing after entry without a rule, adding to a losing position without recalculating total risk turns a planned loss into an unplanned one.
Limitations
Correlation between crypto assets isn't fixed, tokens that move independently in calm markets often correlate much more tightly during sharp, market-wide declines, which is exactly when the extra risk matters most. There's no single number that captures "how correlated" two positions are at the moment you need to know; it has to be estimated from judgment about shared dependencies, not just historical price data.
Letting the Stop Distance Set the Size
Position sizing done properly runs in one direction: decide the risk you will accept on the trade, identify the price that would prove the idea wrong, and let those two numbers produce the size. Choosing the size first and then looking for a stop that fits it is the same calculation run backwards, and it consistently produces stops placed where they are convenient rather than where they mean something.
This ordering has a useful side effect. A setup requiring a wide stop automatically gets a smaller position, and one with a tight, well-defined invalidation gets a larger one. Risk stays constant across trades while conviction varies, which is the opposite of what discretionary sizing tends to do.
The mistake to watch for is sizing on the notional rather than the risk. Two positions of the same dollar value carry entirely different risk if one sits on a volatile token and the other on a large-cap, and treating them as equivalent means the volatile one dominates the portfolio's outcome without anyone deciding that it should.
Sizing rules also assume the stop can be filled near its level. In thin conditions or across a gap it may not be, which means the realised loss can exceed the planned one. Building in a margin for that is more honest than assuming precision the market does not offer.
Crypto Position Sizing FAQs
What is the difference between position sizing and portfolio allocation?
Portfolio allocation is how much of your total wealth is exposed to crypto overall. Position sizing is how much of that crypto allocation goes into one specific asset or trade. A correct portfolio allocation doesn't guarantee correct position sizes, and vice versa.
How much of my crypto portfolio should be in one trade?
There's no fixed answer. Long-term holders often cap a single asset at a percentage of the crypto allocation; active traders often size from a maximum dollar risk divided by the stop-loss distance. Both should also account for what else is already open.
What is total open risk?
Total open risk is the sum of the planned dollar risk across every open position at once, not just the risk of the trade you're about to place. Four trades each risking $200 add up to $800 of total open risk, even though no single trade looks large on its own.
Do I need to account for correlation between different tokens?
Yes. Positions in different tokens that depend on the same blockchain, narrative, or liquidity source tend to fall together during market stress, so their combined risk can behave like one large position rather than several independent ones.
Should I use allocation-based or stop-based position sizing?
Allocation-based sizing suits longer-term holdings without a defined exit price. Stop-based sizing suits active trades with a specific invalidation level. Many portfolios use both, depending on the position.
How should position size account for the possibility that a stop does not execute?
By treating the stop as a likely rather than a guaranteed exit and sizing against a worse outcome. In practice this means asking what the loss would be if the price moved well past the stop before filling, and checking whether that number is survivable. Positions in thinly traded tokens and leveraged positions are where the gap between the intended loss and the possible loss is widest.
Does position size need to change when volatility changes?
If the stop is placed using a volatility measure, size adjusts automatically, because a wider stop with the same risk amount produces a smaller position. If the stop is a fixed percentage, size stays constant while the probability of being stopped out changes, which means the effective risk drifts with market conditions. Tying stop distance to a volatility measure keeps the intended risk stable rather than the position size stable.
How does a fee-heavy venue change the position sizing calculation?
Fees and expected slippage are part of the loss on a trade that fails, so the true risk per unit is the stop distance plus round-trip costs. On a venue with high taker fees, or for a pair where the spread is wide, that addition can be a meaningful share of the intended risk. Ignoring it means every position is slightly larger than the plan intended, in a direction that compounds across many trades.
Should the same risk percentage apply to every position regardless of conviction?
Varying risk by conviction is defensible in principle but difficult in practice, because confidence is poorly calibrated and tends to be highest before the trades that fail. A common compromise is a fixed default with a narrow band of variation, and a hard cap that no level of conviction can exceed. The cap matters more than the variation, since it bounds the damage from the specific case where confidence was wrong.