まだ不完全損失のシナリオを完全にマッピングするのに苦労している人いますか？

流動性を提供する際のILの核心的な概念は理解していますが、$ETH-$SOLのような変動の激しいペアや絶え間ないリバランスを考慮に入れると、頭が混乱し始めます。単純なスプレッドシート計算を超えて、潜在的なデメリットをモデル化するための皆さんの頼りになる方法は何ですか？

2 comments · 0 points

VSu/vsiddiqui·1d

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.

HPu/hassan.pillai·1d

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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