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Do simple settings like price limits help regular people avoid bad crypto trades?

Research question: What simple settings and habits (such as slippage limits and checking transaction details) can an ordinary person use on a decentralized exchange to avoid bad trades, and do they help?

The records show that traders can set a gas price, a slippage limit, and an expiration time to manage their trades on decentralized exchanges 12. A slippage limit is one of the defenses proposed against sandwich attacks, which limit price impact alongside slippage 13. Private transaction submission reduces the attack surface compared with public-mempool chains, but it does not eliminate sandwich exposure entirely 15, and one bot's sandwich attacks on Base were still attributed to transaction-pool leakage before inclusion 16. The facts do not measure how much these settings reduce losses for an ordinary user, so their benefit is only partly established. The newest fact is from 2026 151617.

Checked 2026-10-22. Only documented and supported facts are used.
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Sources

[1] supported
The paper states that, for a trader, slippage corresponds exactly to the AMM's impermanent gain, meaning the trader's price impact is the mirror image of the pool's impermanent loss.
"For the trader we compute the slippage and show that this is exactly the impermanent gain (i.e. negative impermanent loss) of the AMM."
Impermanent loss and slippage in Automated Market Makers (AMMs) with constant-product formula (2022)
[2] supported
In a Constant Sum Market Maker (CSMM), the constant price reduces slippage, which is a useful feature for trading tokens with stable relative prices.
"The price stability is attractive in that it reduces slip- page, which is a useful feature to have when trading tokens with stable relative prices."
Automated Market Makers and Decentralized Exchanges: a DeFi Primer (2020)
[3] documented
Arbitrage activity can entirely drain the liquidity pool of a token in a Constant Sum Market Maker (CSMM) because the constant price cannot respond to external market pressure.
"The main point we wish to make here is that a CSMM functions poorly as a decen- tralized exchange because arbitrage activity can entirely drain the liquidity pool of a token, and the simple x y k case suffices to show that."
Automated Market Makers and Decentralized Exchanges: a DeFi Primer (2020)
[4] documented
In a Constant Product Market Maker (CPMM), the price changes every time the reserves change, even if by a small amount, due to the varying slope along the level curve.
"One of the features of a CPMM (and a CMMM) is that along a particular level curve, say k0 in Fig. 4, the slope varies at every point, and consequently the price changes every time the reserves change, even if by a small amount."
Automated Market Makers and Decentralized Exchanges: a DeFi Primer (2020)
[5] documented
Arbitrageurs can exploit price differentials between an external market and an AMM to realize risk-free profits, which eventually eliminates the opportunity as prices equalize.
"An arbitrageur could buy X in the exter- nal market for 49.9 and sell it in the AMM for 50.0 Y , thereby making a profit of P Y/X M Y/X 50.0 49.9 0.1 units of Y per unit of X ."
Automated Market Makers and Decentralized Exchanges: a DeFi Primer (2020)
[6] documented
Wallet interfaces automatically suggest an optimal gas price based on network activity to balance execution probability and cost, though most users accept the median price.
"Wallet interfaces automatically suggest an optimal gas price, depending on the current levelofnetworkactivityandbasedonthetrade-offbetweentheprobabilityofexecution within the next few blocks and the cost. While users can edit the gas price according to their preferences, our data reveals that the vast majority of transactions on DEXs are executed at the median gas price of the block."
On The Quality Of Cryptocurrency Markets: Centralized Versus Decentralized Exchanges (2021)
[7] documented
Gas fees on decentralized exchanges are fixed costs that do not scale with the dollar value of the transaction, meaning their relative impact decreases for larger trades.
"An important feature of these costs is that they do not scale with the Dollar value of transactions but, rather"
On The Quality Of Cryptocurrency Markets: Centralized Versus Decentralized Exchanges (2021)
[8] supported
Uniswap v3 allows trades to be split across multiple pools to minimize costs, a feature that can reduce transaction expenses compared to single-pool execution.
"Infact,theUniswapv3routerallowsforthetradetobesplitacrossmultiplepools,incaseroutingwouldresultin the lowest possible transaction costs."
On The Quality Of Cryptocurrency Markets: Centralized Versus Decentralized Exchanges (2021)
[9] documented
Transaction costs on DEXs include slippage (price impact), exchange fees, and gas fees, which are distinct from the costs on centralized exchanges that primarily involve spread and commissions.
"they are meant to capture the effective costs incurred by a trader transacting a given amount (in US Dollar terms), including slippage, fees, and settlement costs."
On The Quality Of Cryptocurrency Markets: Centralized Versus Decentralized Exchanges (2021)
[10] documented
For large-sized trades, such as $1 million in the USDC-USDT pair, Uniswap v3 can achieve remarkably low transaction costs of 2 basis points.
"Second, the dominance of Uniswap v3 for large-sized trades is particularly strong for the stablecoin pair USDC-USDT, reaching a remarkably low rate of 2 basis points for a $1 million transaction."
On The Quality Of Cryptocurrency Markets: Centralized Versus Decentralized Exchanges (2021)
[11] supported
Users prefer centralized exchanges over decentralized ones because CEXes do not have a slippage mechanism, ensuring price consistency and preventing financial losses from price fluctuations during the trade.
"P10 chose CEXes because they didnothavetheslippagemechanismasinDEXes,andpriceswereconsistentatthe sametime,thuswouldnotcausefinanciallossestousers."
Toward Understanding the Use of Centralized Exchanges for Decentralized Cryptocurrency (2022)
[12] supported
Traders can use specific transaction parameters such as gas price, slippage limit, and expiration time to manage their trades on decentralized exchanges.
"tions, while forgoing possible arbitrage opportunities (e.g., gas price), slippage limit, expiration time, etc."
A2MM: Mitigating Frontrunning, Transaction Reordering and Consensus Instability in Decentralized Exchanges (2021)
[13] supported
Multiple defenses against sandwich attacks have been proposed, including slippage-related limits such as limiting price impact alongside slippage.
"limiting price impact alongside slippage [12]"
GasTrace: Detecting Sandwich Attack Malicious Accounts in Ethereum
[14] supported
Sandwich attackers, such as bots and arbitrage traders, profit by exploiting pending transactions in the transaction pool.
"to exploit profit in the pending transaction pool."
GasTrace: Detecting Sandwich Attack Malicious Accounts in Ethereum
[15] supported
Private transaction submission reduces the MEV attack surface compared with public-mempool chains, but it does not eliminate sandwich exposure entirely.
"whilenoteliminatingitentirely."
No Place to Hide: An Analysis on Protected Order Flow Sandwich Attacks (2026)
[16] supported
On Base, one bot's sandwich attacks were attributed to transaction-pool leakage, meaning protected transactions were still exposed before inclusion.
"Weattributethesesandwichestotransaction-poolleakage"
No Place to Hide: An Analysis on Protected Order Flow Sandwich Attacks (2026)
[17] supported
On Solana, after the JitoSOL delisting, about 96% of sandwich attacks spanned multiple blocks, so attackers mostly did not place both legs tightly around the victim.
"Thus,96%ofattacksspanblocks."
No Place to Hide: An Analysis on Protected Order Flow Sandwich Attacks (2026)