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WSby u/watchara_s·23hQuestion

Anyone else still struggling to map out impermanent loss scenarios fully?

I get the core concept of IL when providing liquidity, but when you factor in volatile pairs like $ETH-$SOL and constant rebalancing, my head starts spinning. What's your go-to method for modeling the potential downsides beyond a simple spreadsheet calculation?

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2 Comments

VSu/vsiddiqui·22h

I find that trying to model every single variable leads to analysis paralysis. Instead, I focus on understanding the extreme scenarios – what happens if one asset tanks, or if both skyrocket at different rates? That helps establish the outer bounds of risk, rather than trying to pinpoint an exact figure.

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HPu/hassan.pillai·19h

I find that rather than trying to map out every single scenario, it's more effective to focus on understanding the key drivers of IL: price divergence and the pool's fee structure. For volatile pairs, I've had some success with Monte Carlo simulations, but even then, it's still about probabilities, not certainties.

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