A pool can look profitable on the dashboard just as its inventory becomes less attractive.
A liquidity provider adds funds to a football market at roughly even odds. Bets arrive, trading fees begin to accumulate, and the position appears to be earning. Then a key player is ruled out. The market rapidly shifts toward one side, and the automated pool rebalances into more of the outcome that bettors now consider less likely.
At withdrawal, the LP may own a mix worth less than the original assets would have been worth if they had simply stayed in the wallet. That gap is impermanent loss: it reflects the pool’s changing inventory, not necessarily a realised loss until withdrawal. The useful calculation is therefore not “How much fee income appeared?” but whether fees, incentives, and any payout from the market exceed the value surrendered to rebalancing. Fast news moves make that comparison especially uncomfortable.
Impermanent loss
Impermanent loss is the difference between the value of an LP position and the value of simply holding the same starting tokens. It is not automatically a cash loss: the pool can still be worth more in dollars than it was at deposit.
What causes it
An automated market maker continually trades its inventory as outside prices move. After a sharp odds change, the pool tends to hold more of the outcome whose price fell and less of the one whose price rose.
Probabilities, not just prices
In a betting pool, an outcome token's price represents the market's implied chance of an event. Rebalancing therefore changes exposure to a view on the match, election, or other resolution—not merely exposure to an asset price.
Why the comparison matters
A pool may collect fees while still trailing a passive hold of the original outcome tokens. The relevant result is fees minus that hold-versus-pool gap, assessed before and after the event resolves.
An LP does not always deposit the same thing. In some betting-pool designs, liquidity begins as collateral—such as USDC—which the protocol uses to back both sides of a market. In others, the LP supplies a pair of outcome tokens, for example YES and NO claims that together redeem for $1 after resolution. A conventional two-reserve AMM may instead hold both tokens directly.
That distinction matters because a binary claim has a hard destination. Near even odds, YES and NO may each trade around $0.50. If new information pushes YES toward $0.90, traders typically buy YES from the pool and leave more NO behind. The LP has effectively sold part of the eventual winner while accumulating more of the claim the market now considers less likely.
At settlement, one token pays $1 and the other pays $0. The pool’s final inventory therefore matters more than its mid-market dollar value:
So there is no single impermanent-loss formula for betting pools. The curve, collateral rules, fees, and settlement mechanics determine the exact exposure.
Suppose a binary market starts near even odds. An LP deposits value split between Yes and No claims, while Yes trades at $0.50 and No at $0.50. Holding those original claims outside the pool would preserve that 50/50 position.
News then makes the event look more likely. Traders buy Yes from the pool, paying in No claims or collateral depending on the design. As the automated market maker raises the Yes price toward $0.75, the pool releases Yes inventory and accumulates more of what traders are selling.
The LP’s share therefore ends up lighter in Yes and heavier in No than the initial deposit. If the event ultimately resolves Yes, that inventory mix can be worth less than simply holding the original Yes claims through settlement. Fees earned during the move offset the gap, but do not erase it automatically.
This is not identical across venues. Constant-product-style AMMs mechanically quote against their reserves, so one-sided demand visibly changes the pool’s composition. In a comparison of AMM and order-book impermanent-loss effects, the key distinction is that order-book liquidity may sit at chosen price levels and need not continuously rebalance in the same way.
The divergence is called impermanent because a later move back toward $0.50 can restore much of the original balance. In a betting market, however, time runs out: once settlement fixes Yes at $1 or $0, there may be no reversal before the inventory difference becomes final.
An LP is not merely earning spread. During a sharp probability repricing, the pool tends to sell the outcome claim that informed traders most want and retain more of the claim they are abandoning.
A conventional crypto pair can swing away from its starting ratio and later swing back. If prices recover before an LP withdraws, much of the hold-versus-pool difference can shrink. Event markets often do not offer that second chance.
A Yes/No market may reprice sharply after a court ruling, earnings release, injury report, or election result. Once credible information arrives, the old probability is not merely temporarily out of fashion: it may be obsolete. The AMM has already traded along that move, typically selling the outcome claim that became more valuable and accumulating the one that became less likely.
At settlement, the market stops behaving like a two-sided asset pair. One claim pays its full payout and the other pays zero. There is no later rally in the losing claim to restore the original mix.
For an LP, this means the word impermanent describes the mechanism, not a promise of recovery. The divergence becomes effectively permanent when either of these happens:
Fees can still compensate for this outcome, but they must be judged against the likely one-way move, not against the hope that a settled event will trade back toward its opening odds.
Volume only helps when the fees retained by an LP exceed divergence from repricing.
A pool can turn over heavily while prices move steadily in one direction. Each trade produces fees, but the AMM’s rebalancing can still leave the LP with less than simply holding the starting claims.
APR may combine trading fees with token incentives, which have different risks.
Fees are paid in pool assets and depend on actual volume, fee tier, and the LP’s share. Incentives are a separate reward stream: their value can fall, emissions can change, and selling them can cost money. Assess staking rewards alongside LP exposure, rather than treating rewards as a cushion that automatically offsets a bad reprice.
Trading costs and adverse flow can consume the apparent gain.
Depositing, withdrawing, claiming rewards, and swapping reward tokens may incur network fees, spreads, or slippage. More importantly, informed traders often arrive when odds are changing fastest—the same periods when divergence is most likely to grow.
Impermanent loss is a relative trading effect: the pool’s value is compared with the value of simply holding the deposited assets. It is not a catch-all name for every way a betting-pool position can disappoint.
Outcome-direction exposure is separate. An LP may finish with a large balance of the claim that settles at zero, or with collateral whose payoff differs sharply from the original mix. That is an event-market payoff problem, even when the AMM’s hold-versus-pool comparison looks modest.
Protocol failures add another layer. A bug, exploit, bad upgrade, or disputed settlement can damage funds regardless of price movement. Before depositing, it is worth reviewing a pool smart-contract audit checklist, while remembering that an audit reduces rather than removes risk. Oracle delays or incorrect resolution data can also leave prices wrong or settlement contested.
Collateral can introduce depeg risk: a dollar-pegged token may trade below its intended value, cutting the withdrawal value of an otherwise profitable position. Finally, funds may be hard to exit during volatile periods because of queues, liquidity limits, pauses, or high network fees.
These risks can compound. A pool can earn an attractive fee APR while suffering adverse inventory, a collateral depeg, and delayed withdrawal at the same time. APR describes recent fee income; it does not measure the downside of the position.
A high displayed APR may be based on a short, unusually active window. It should be weighed against settlement exposure, asset quality, contract risk, and the ability to withdraw when conditions change.
Check what the pool holds now—collateral, Yes/No claims, or a wrapped position—and what each becomes at resolution. Identify the oracle, dispute window, market void rules, and whether a winning or losing claim can leave the LP with a one-sided balance.
A concentrated or steep curve can earn attractive fees while taking large inventory shifts from modest odds moves. Inspect swap fees, deposit and withdrawal delays, withdrawal penalties, liquidity caps, and whether exiting near settlement is restricted.
Compare the pool position with simply holding the deposited assets after, for example, a 20-point probability rise, a collapse toward zero, and a final settlement. The useful question is not just the displayed APR, but how much inventory is left on the losing side in each case.
Set expected trading fees against the estimated hold-versus-pool shortfall, then add token incentives only after haircutting their price and emission risk. Historical volume during quiet periods says little about fees when informed traders rush in after news.
Size the deposit as risk capital for automated market making, not as a cash-like yield allocation. A small initial position makes it easier to observe fills, withdrawals, and reporting before adding more exposure; keeping collateral aside also avoids selling assets at a bad time to exit.
Displayed APR is a snapshot. Settlement design and repricing risk usually matter more than a recent fee figure.
Liquidity is worth supplying only when expected fees and incentives plausibly exceed the cost of adverse rebalancing, the chance that settlement makes that gap permanent, and the protocol-specific risks around the position. A high headline APR is not enough if it depends on fragile rewards or a short burst of volume before resolution.
The useful habit is ongoing inspection: watch whether odds are concentrating around one outcome, what claims or collateral the pool now holds, and how much time remains for fees to accrue. If the position has quietly become a concentrated bet with thin compensation, reducing exposure can be more sensible than waiting for the event to settle.
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