Slippage is the difference between the price you expect to pay for a crypto asset and the price you actually pay when your order executes on an exchange. For small retail trades it is often negligible. For large trades moving meaningful size through a single asset or exchange, it becomes one of the most significant costs in a portfolio. This article explains how slippage works mechanically, why it accelerates at scale, and what traders can do to manage it.
Key takeaways
• Slippage is a structural feature of how markets work, not a platform error.
• It can work in your favour or against you, though negative slippage is more common in practice.
• It scales non-linearly. Doubling your order size more than doubles slippage in most real-world order books.
• Liquidity depth, asset tier, and execution timing are the biggest variables.
How slippage works
Slippage is the difference between the price you see when you submit an order and the price at which it actually executes. It is not a fee, and it is not a bug. It is a consequence of how liquidity is distributed across a market.
On a centralised exchange, your market order works through the order book from the best available price outward. If there is not enough volume at that level to fill your order, the remainder fills at the next price level, then the next. Your actual execution price is the weighted average across all those fills.
On decentralised exchanges using automated market makers (AMMs), every unit you buy shifts the pool’s reserve ratio, nudging the price against you in real time. The larger the order relative to pool size, the further the price moves.
Slippage can go both ways
Slippage can go in either direction. Negative slippage is what most traders know. You pay more than expected when buying, or receive less when selling. It happens when the market moves against you between submission and execution, or when your order pushes through multiple price levels.
Positive slippage is the opposite. The market moves in your favour before your order fills, giving you a better execution price than expected. It is less common than negative slippage, but it is real, and performance attribution should account for both directions.
In practice, negative slippage dominates at scale. Large orders move the price against you by definition. The question is not whether it will occur but how much it will cost.
Why size makes slippage worse
Slippage does not scale in a straight line with order size. A small order within the liquidity at the best price level experiences no slippage. An order that spills into the next level pays a higher average. One that sweeps through multiple levels pays significantly more, with each successive level typically further from the mid-price.
On AMMs the effect is explicit. A trade representing 1% of pool liquidity produces roughly 1% price impact. At 5% it is closer to 5.3%. At 10%, around 11.1%.
Putting a number on it
Slippage cost = (Execution price − Expected price) ÷ Expected price × Trade size
Half a percent on a $10,000 trade costs $50. On a $2,000,000 trade it costs $10,000, and slippage at that size is rarely half a percent. A single market order into a shallow book could cost considerably more.
Model your expected slippage before you trade. Most platforms and DEX aggregators provide a pre-trade estimate based on current liquidity.
How larger orders are typically managed
• Break it up over time: TWAP execution splits a large order into smaller tranches at regular intervals, giving the order book time to replenish between fills and reducing the average cost per unit.
• Spread across venues: Smart order routing sends portions of an order to multiple exchanges simultaneously so no single book takes the full impact.
• Pick your moment: Order books are deepest when institutional participants are active. Execution during peak overlap between major financial time zones generally offers better depth.
• Luno OTC Desk for large orders: Above $50,000, bilateral negotiation through Luno’s OTC Desk removes the trade from the public order book entirely, avoiding market impact at the cost of a negotiated spread.
Frequently asked questions
What is crypto slippage?
Slippage is the difference between the price you expect when placing a trade and the price you actually get when it executes. It can work in your favour or against you, though negative slippage is more common, particularly on larger orders or during volatile conditions.
What causes crypto slippage in markets?
The main cause is a mismatch between your order size and available liquidity. If your order exceeds the volume at the best price, the remainder fills at worse levels. Volatility, wide spreads, and the time between submission and execution all make it worse.
Why is DEX slippage higher than CEX slippage?
DEXs use liquidity pools rather than order books. Every unit you buy shifts the pool ratio and moves the price against you in real time. Pool sizes are generally smaller than centralised exchange books, so the price impact per unit traded is higher. MEV bots add further cost by exploiting your slippage tolerance directly.
Why does crypto slippage get worse with larger trades?
Because it scales non-linearly. Small orders sit within available liquidity at a single price. Larger orders sweep through multiple price levels, each one further from the mid-price than the last. Doubling your order size more than doubles your slippage in most markets.
When should a crypto trader use an OTC desk?
When your order is large enough to move the market against you. Luno’s OTC desk handles trades from $50,000, executes off the order book with firm all-in pricing and zero slippage, and supports settlement from immediate through to T+2.
