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?
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.
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.