
Slippage tolerance is the maximum price deviation you are willing to accept when executing a trade.
Typically expressed as a percentage, it defines how much the execution price can differ from your order price between submission and completion. If the final transaction price exceeds this limit, the system will cancel or revert the trade, protecting you from unfavorable execution.
Slippage tolerance directly affects whether your trade is executed and the quality of the execution price.
If set too low, even minor price fluctuations may cause transaction failures, wasting both time and gas fees. If set too high, your order is more likely to be filled but may execute at a significantly worse price during market volatility or frontrunning events. Understanding and appropriately adjusting slippage tolerance helps you balance efficiency and protection.
Slippage tolerance is converted into a “protection threshold,” such as the minimum tokens you will receive in a swap or the maximum price you will pay when buying.
On Automated Market Makers (AMMs)—liquidity pools using formulas for pricing—prices change with order size, network congestion, and other participants’ trades. The system calculates an upper or lower bound based on your slippage tolerance; if the output or price falls outside this range, the smart contract automatically rejects the transaction to prevent unfavorable execution.
For example: If you swap 100 USDC for another token in a pool and set a 1% slippage tolerance, the interface will display “Minimum received: X tokens.” If, due to price movement, the actual number of tokens falls below this minimum, the transaction will be reverted.
Slippage tolerance is most common in decentralized exchanges (DEXs), stablecoin swaps, NFT purchases, and on-chain auctions.
In DEX swaps, stablecoin pairs—due to their price stability and deep liquidity—can use very low slippage tolerance. Long-tail token pairs with greater volatility require wider tolerance to avoid frequent failures. For NFT purchases and auctions, competitive bidding may require higher slippage tolerance to increase fill probability, but this comes with greater risk of sudden price spikes.
On Gate’s Web3 platform, Swap supports custom slippage tolerance settings: stablecoin pairs usually set at 0.1%–0.3%, popular token pairs at 0.5%–1%. For spot trading, it is recommended to use limit orders to lock in price, effectively tightening slippage tolerance to your acceptable level.
Lowering slippage tolerance is not simply about setting it as low as possible; rather, it means using strategies to minimize necessary deviation.
As of early 2026, leading DEXs and aggregators have adopted more cautious default slippage settings: 0.1%–0.3% for stablecoin pairs, about 0.5%–1% for popular tokens, and 2%–5% for long-tail assets.
Public dashboards and platform documentation from Q4 2025 show that actual median slippage for stablecoin pairs is often below 0.1%, while typical tokens with moderate liquidity experience median slippage between 1%–3%. This trend has prompted many frontends to lower default values to minimize negative user outcomes.
From late 2025 through early 2026, the share of private transactions and anti-frontrunning routes has increased—a development linked to widespread adoption of MEV mitigation tools. As a result, orders of similar size require less slippage tolerance on protected routes; splitting orders and using deep pools are also prioritized by aggregators.
On Gate’s Web3 platform over the past year, default tolerance ranges for stablecoin pairs have narrowed, with beginners typically starting around 0.2%. For volatile new tokens, the interface provides conservative recommendations—suggesting split trades and deeper routes.
Slippage tolerance is the predefined range you set for acceptable deviation; actual slippage is the real difference between expected and executed prices.
Their relationship: slippage tolerance acts as a “guardrail”—as long as actual slippage stays within this boundary, the transaction proceeds; if it exceeds this limit, the contract or system rejects the trade. Understanding this distinction helps avoid setting tolerance too loosely or assuming that trades will always deviate by the set amount.
Setting a high slippage tolerance means you allow greater deviation from your expected price, making you more vulnerable to market swings or manipulative traders. Although your order is more likely to be filled, it may execute at a much worse price—resulting in potential financial loss. It is recommended to adjust slippage tolerance according to asset volatility and liquidity (typically 0.5%–3%) and regularly monitor execution prices versus expected prices.
Beginners should consider token liquidity, market volatility, and timing. For major coins (BTC, ETH) with deep liquidity, 0.5%–1% is suitable; for smaller coins or during high volatility periods, increase to 2%–3%. On Gate’s platform, start at 0.5%; if trades frequently fail, gradually raise the value but avoid trading during extreme market swings to minimize risk.
Slippage tolerance and trading fees are separate concepts. Trading fees are platform commissions (e.g., Gate’s 0.2%), while slippage tolerance refers to how much deviation from your expected price you permit. Both affect your net returns—high slippage tolerance may lead to worse execution prices; combined with fees, your total cost can rise sharply. Optimize each individually for best results.
During volatile markets, prices may change dramatically in seconds between order submission and execution. If your slippage tolerance is set low, actual prices can easily exceed your acceptable range—causing trade rejection. Consider increasing tolerance or waiting for stabilization before trading; platforms like Gate allow real-time adjustments to accommodate shifting conditions.
DEXs (decentralized exchanges) feature slower on-chain transaction speeds and delayed price updates—making slippage risk higher than on CEXs (centralized exchanges). After submitting a trade on a DEX, it may remain in the mempool for seconds or longer before final confirmation, during which prices can fluctuate significantly. DEX users should set higher slippage tolerances (commonly 2%–5%) for successful execution; CEXs offer faster trades with more predictable prices.


