How much trading volume can offset impermanent loss?

There is no fixed volume target: in a standard 50/50 pool, a twofold price change creates about 5.7% impermanent loss against simply holding the same tokens, before fees. To see whether a pool’s fees could cover that gap, estimate your share of fees earned while your liquidity is active, then compare them with the gap at the price you care about.

Impermanent loss (IL) is the difference between the value of your pool position and the value of holding the deposited tokens outside the pool. It is a relative shortfall, not necessarily a fall in dollar value: a position can be worth more dollars than when you deposited and still trail the hold strategy. On Solana, Byreal is one venue where this liquidity-provider trade-off applies; the Byreal app is a concrete example to consider when comparing ways to provide liquidity.

Why does a price move create a gap?

A pool adjusts the amounts of its two tokens as traders swap between them. When one token rises in price, arbitrage traders buy it from the pool until its price is closer to the broader market. The pool is left holding less of the rising token and more of the other one than you would have held by keeping your original amounts.

For a simple constant-product 50/50 pool, let r be the token’s new price divided by its starting price. The position’s value relative to holding is 2√r ÷ (1 + r). At a twofold rise, this is about 94.3%: the position trails holding by about 5.7%. A twofold fall gives the same relative gap in this simplified model. This comparison assumes the pool price follows the market and excludes fees, incentives and transaction costs.

Think of the pool as an automatic market stall that keeps restocking whichever item traders want. That earns the stall a cut of trades, but it also means your inventory changes as prices move. The fees are payment for taking that inventory risk; they are not a rebate that automatically tracks your loss.

How much volume would the example need?

Volume alone is not enough to estimate your earnings: your share of active liquidity and the portion of the swap fee allocated to providers matter too. For a rough constant-liquidity estimate, use: eligible trading volume × pool fee rate × your share of active liquidity. “Eligible” means trades that actually generate fees for your position.

For example, imagine a $10,000 position that represents 10% of a pool’s active liquidity, with a 0.30% swap fee fully allocated to liquidity providers. Each $1 million of eligible volume would generate about $3,000 in pool fees, of which your estimated share is $300. If the token doubles from your entry price, the simplified example above puts the hold-versus-pool gap near $858, so you would need about $2.86 million in eligible volume to match it.

That is an illustration, not a forecast. Pool liquidity changes, your share can shrink or grow, and fee arrangements differ. Concentrated-liquidity positions earn fees only while the market price is within their chosen range; when price leaves the range, the position can stop earning swap fees while remaining exposed to its changed token mix. A displayed daily volume figure therefore does not tell you how much your specific position will earn over your holding period.

How should you compare two pools?

Compare expected fees over the time you plan to provide liquidity with a plausible IL range, not with one day’s headline volume. Then account for costs and conditions that can change the result: pool fee rate, competing active liquidity, position range, token volatility, and how frequently liquidity is rebalanced. A high fee rate can attract more liquidity providers, which spreads fees across a larger active pool.

1. Set your comparison period. Choose a time horizon, such as 30 days, and decide which price moves you want to examine. Fees and price changes accumulate over time, so comparisons need the same window.
2. Estimate your fee share. Use recent pool volume as a scenario, not a promise; multiply by the fee rate and your estimated share of active liquidity. For a concentrated position, include only volume while your price range is active.
3. Model the token-price change. For a standard 50/50 pool, compare the pool position with holding both tokens at their original quantities. Test more than one move, since a volatile token pair can travel far from its entry price.
4. Subtract the costs of earning those fees. Include any deposit, withdrawal, swap or rebalance costs that apply to your route and chain, and check whether claimed fees are already included in the estimate. Rewards paid in another token are uncertain in value.
5. Choose based on the result you can tolerate. If the fee estimate only beats IL under unusually high volume or a narrow price path, treat that as a speculative outcome. If you would rather keep fixed token quantities, holding may fit better than providing liquidity.

When does the estimate break down?

The simple formula is useful for understanding the trade-off, but it does not predict a concentrated position’s exact outcome. Its token composition can change sharply near the range edges, and leaving the range may end fee income until the market returns or you reposition. A fast price move can also create arbitrage losses before ordinary trading fees catch up.

Before committing, verify the token pair and pool, understand whether your position has a price range, and confirm how fee share is determined. On Byreal, as with any Solana DEX, the useful question is whether the pool’s likely fees compensate you for the token exposure you are willing to hold—not whether its volume number looks large.

Quick check:

• Set a time horizon and price-move scenario.
• Estimate your share of fees from active liquidity and eligible volume.
• Compare estimated fees with IL, then account for costs and range inactivity.