Every fraction of a second matters in the crypto market. Prices can change in fractions of a second, and the rate you see when you execute a trade may not be the same rate that you are given when it is executed. That discrepancy — called slippage — can really make a difference to your profits or losses, particularly when dealing with assets of differing degrees of volatility.
Whether you're exchanging Bitcoin, exchanging stablecoins on a decentralized exchange (DEX), or venturing into new altcoins, one question always comes up: How much slippage tolerance do you let?
This article goes in-depth on how slippage functions, how it varies between volatile and stable tokens, what tolerance levels are reasonable for various market conditions, and effective ways to handle it in practice.
Understanding Slippage and Slippage Tolerance
Slippage is when the planned price of a trade differs from the price at which the trade gets executed. It occurs because of volatility in the market, the depth of liquidity, and latency of the network between when an order is sent and confirmed.
Suppose you want to buy Ethereum at $3,000, but your trade gets executed at $3,015. You've undergone a 0.5% slippage.
Slippage Tolerance Explained
Slippage tolerance is the percentage level of which a trader specifies in order to determine how much price movement they will tolerate before their transaction is automatically being cancelled.
On decentralized trades, you can manually set your slippage tolerance — typically between 0.1% and 5%. Getting it right is critical: too low, and your trade might not go through; too high, and you could end up paying a much larger fee than anticipated.
Why Slippage Occurs in Crypto Trades
The crypto space differs from traditional financial systems. The following are the main reasons why slippage occurs:
Thin liquidity: There are fewer orders to buy/sell at each price level, resulting in larger price movements when trading big.
Volatility: Crypto can move price in milliseconds, especially in the wake of news events or during a market rally.
Network Delays: On-chain transactions are not instantaneous but happen over time, during which prices could move against you.
Order Size: The bigger your order, the more it will affect the market price.
Automated Market Makers (AMMs): DEXs employ liquidity pools whose prices change dynamically according to pool ratios — causing price impact and slippage.
Slippage is unavoidable, but knowledge of it enables you to control it strategically, not to be a victim of unpredictable prices.
Volatile Tokens vs. Stable Tokens: The Major Difference
Different assets call for different slippage strategies. Let's begin with understanding their behavioral difference:
Volatile Tokens
Volatile tokens — such as new altcoins, meme coins, or illiquid pairs — may see huge price swings in a matter of seconds. Liquidity is usually lower, with fast and uneven price discovery.
Examples: PEPE, SHIB, DOGE, or newly introduced DeFi tokens.
Nature: High risk, fast action.
Affect: Large orders immediately produce price impact, enhancing slippage.
Stable Tokens
Stable tokens (stablecoins) are tied to stable assets such as the U.S. dollar. They are designed to have a fixed value, providing predictability and liquidity.
Examples: USDT, USDC, DAI, BUSD.
Nature: Low volatility, high liquidity.
Influence: Very low price volatility; slippage risk is fairly low.
How Much Slippage Tolerance Should You Tolerate?
The "right" amount of slippage tolerance depends on market conditions, token type, size of the liquidity pool, and trade urgency. The following are general educational guidelines:
For Stable Tokens (e.g., USDT/USDC, DAI/BUSD):
Recommended: 0.1% – 0.5%
Reason: The prices are stable and pools are very liquid.
Goal: Reduce unnecessary losses while maintaining execution.
For Moderately Volatile Tokens (e.g., ETH/USDC, MATIC/USDT):
Recommended: 0.5% – 2%
Reason: Slightly greater volatility will lead to execution delays, so flexibility is needed.
Goal: Find the right balance between trade execution and price protection.
For Highly Volatile Tokens or Low-Liquidity Tokens (e.g., new DeFi or meme coins):
Recommended: 2% – 5% (occasionally more)
Reason: High volatility and shallow liquidity pools make tight tolerances impractical.
Goal: Ensure trade goes through, accepting potential deviation.