Same margin
At 5x
$5,000 exposure
+$50 gross PnL for a +1% move
What changes: exposure and gross PnL.
What stays the same: the $1,000 margin.
Practical leverage examples · 2x to 100x
Choose leverage, margin, and a market move. See the exposure and gross result before costs, then compare the same scenario with margin or exposure held fixed.
Leverage Impact Atlas
A static reference first, with optional interactive depth. No live prices, account, or tracking.
Quick leverage example
Choose four values. The answer appears immediately—no live prices or sign-up.
Simplified linear example before fees, funding, maintenance rules, and venue-specific liquidation mechanics. Review the methodology.
Common leverage levels
Same $1,000 margin · Long · +1% market move
One comparison, two meanings
At the selected 10x anchor, both views begin with $1,000 margin and $10,000 exposure.
Same margin
$5,000 exposure
+$50 gross PnL for a +1% move
What changes: exposure and gross PnL.
What stays the same: the $1,000 margin.
Same exposure
$2,000 margin
+$100 gross PnL for a +1% move
What changes: required margin.
What stays the same: $10,000 exposure and gross PnL.
Full Leverage Impact Atlas
Each cell keeps the current margin or exposure fixed and shows only gross PnL plus its change relative to margin.
Selected example
Same margin: $1,000 stays fixed.
Inside simplified boundary · Long boundary −10% from entry.
The arithmetic is theoretical at or beyond this simplified boundary. Real venue liquidation varies.
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Worked examples
All examples use the same $1,000 margin and $25,000 entry anchor so the relationship is easy to compare.
2x leverage example
With $1,000 of margin, a +1% Long move produces +$20 gross PnL, or +2% relative to that margin before costs.
5x leverage example
With $1,000 of margin, a +1% Long move produces +$50 gross PnL, or +5% relative to that margin before costs.
10x leverage example
With $1,000 of margin, a +1% Long move produces +$100 gross PnL, or +10% relative to that margin before costs.
Same margin: more leverage means more exposure and greater gross PnL sensitivity.
Same exposure: leverage changes required margin, while gross PnL for the same move stays unchanged.
20x leverage example
With $1,000 of margin, a +1% Long move produces +$200 gross PnL, or +20% relative to that margin before costs.
At 20x and a −5% Long move, the simple boundary is reached. The −$1,000 arithmetic is theoretical, not an assured exit result.
Open this 20x example in the calculatorHigher leverage reference
These are reference relationships, not recommended or “safe” settings.
Margin is 2% of exposure. With $1,000 margin, exposure is $50,000 and a +1% Long move is +$500 gross before costs.
The simple adverse boundary distance is only −2% for a Long, so omitted costs and venue maintenance rules are material relative to that distance.
Margin is 1% of exposure. With $1,000 margin, exposure is $100,000 and a +1% Long move is +$1,000 gross before costs.
The simple adverse boundary distance is only −1% for a Long, so omitted costs and venue maintenance rules are material relative to that distance.
Long versus Short
In this linear model, a +1% move favors a Long and hurts a Short by the same gross amount. A −1% move reverses those outcomes.
Long +1%: +$100
Short −1%: +$100
Long −1%: −$100
Short +1%: −$100
A Long's simplified boundary is below entry. A Short's is above entry. Real venues use additional rules.
Cost reality check
With 0% price movement and assumed 0.05% entry and 0.05% exit fees, gross PnL is $0 but estimated net PnL is −$10 (−1% net ROE).
More ways to compare
These optional tools answer narrower questions after the core example is clear.
Use this reference
Exports use the same unrounded Decimal results as the page. CSV contains canonical raw numbers.
Read examples carefully
These examples use the site’s linear-isolated-v1 model: a simplified linear USD/USDT-margined isolated perpetual-style position. Principal numbers are generated at build time with Decimal arithmetic and remain available when JavaScript is disabled. Interactive controls change the same model; they do not request live market data.
The simplified boundary shows where allocated margin would be exhausted if maintenance margin, fees, funding, tiers, mark-price rules, and venue mechanics were ignored. It matches the calculator’s zero-assumption estimated liquidation price, not an exchange’s actual liquidation trigger. When an example reaches or passes that boundary, the page labels the gross arithmetic as theoretical rather than presenting it as an assured exit result.
For definitions and context, read how crypto leverage works. For equations, exact domains, independent vectors, and model limitations, use the crypto leverage methodology. For fees, funding, stop and target assumptions, or a custom scenario, open the full calculator.