Compare Pool Fee Revenue Across Trading Sessions

Compare pool fee revenue by measuring the fees each pool earned over the same time window and against the liquidity available to earn them. That shows whether a higher total came from stronger trading or simply from a larger pool. It also keeps token price changes from making fee income look bigger or smaller than it was.

Start by setting the session boundaries: use the same start and end times, and the same time zone, for every pool. Record the pool’s trading pair, fee tier and liquidity during that window. If you are deciding which activity fits a particular aim, read how Byreal swaps and pools fit your goal. For fee comparisons, keep the question narrower: how much did each pool earn, and how much liquidity was working to earn it?

Which fee number should I compare?

Use fees earned during the session, rather than the pool’s lifetime fees or its current daily estimate. A pool’s total fee revenue belongs to all liquidity providers, while your share depends on your share of eligible liquidity during the time fees accrued. A displayed annual rate is usually an estimate based on recent activity; it can change quickly and should not stand in for fees earned in your chosen window.

Compare both total fees and fees per unit of liquidity. The first shows the pool’s overall activity; the second helps compare pools of different sizes. If liquidity changed during the session, a simple end-of-session snapshot can mislead. Use average liquidity across the window if the data is available, or split the session into shorter intervals and compare each one.

How do I make sessions comparable?

Keep the measurement rules consistent. Use equal-length windows, the same currency for fee values, and the same method for valuing the pool’s liquidity. If the pair’s tokens move in price, convert fees and liquidity using one consistent valuation method so price changes do not masquerade as extra trading income.

A useful comparison records these items for each pool:

• Fees earned in the session, in a common currency.
• Average liquidity available during the session.
• Session length and the exact start and end times.
• Any incentives counted separately from trading fees.

Then calculate fees per unit of average liquidity for the same duration. This is a fairer comparison than ranking pools by raw fees. Keep the raw total too: a small pool can have a high fee rate but still produce little income in absolute terms.

Do higher fees mean a better pool?

Higher fee revenue means more was collected from trades; it does not, by itself, mean a liquidity provider earned more overall. Fee tiers affect what traders pay and may affect trading activity. In pools where liquidity is concentrated within price ranges, fees can also depend on whether a provider’s liquidity was active when trades occurred.

For a practical choice, compare fees per unit of liquidity first, then check how steady that figure is across several matched sessions. To judge your own result, account separately for your actual fee share, transaction costs, incentives and any change in the position’s value relative to simply holding the tokens. The clearest conclusion is modest: session data can show where fees were stronger, but it cannot turn one busy window into a dependable forecast.