Discussions about stablecoins are often easily confused, especially when seeing the term "Destablecoin." Many people's first reaction is to think of failed algorithmic stablecoins like Luna. But if you look closely at the structure, you'll find that the risk logic of these two is completely different.
Algorithmic stablecoins are usually under-collateralized or even uncollateralized, relying on endogenous token issuance to balance supply and demand—this model essentially bets on confidence. In contrast, lisUSD follows the MakerDAO approach, with strict over-collateralization to provide a safety net. This difference may seem like a detail, but it actually determines the fate of the project.
Here, "De" doesn't simply mean decentralization; it refers to the tolerance for price fluctuations—it doesn't have to pursue a 1:1 fiat peg, allowing for some fluctuation within a certain range to buffer market shocks. In other words, lisUSD is fundamentally a traditional collateralized stablecoin with a more flexible anchoring strategy. The 110%-150% over-collateralization is a real safety cushion, not an algorithm-driven bubble.
Therefore, when analyzing such products, it's crucial to peel back the marketing rhetoric and understand the underlying asset structure.
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WalletDetective
· 10h ago
Well, to put it simply, don't be fooled by sweet talk; you need to look at the collateralization ratio, this hard indicator.
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DefiEngineerJack
· 19h ago
actually™ most people just skim the whitepaper and miss the collateral mechanics entirely. that's why every bear market we see another "stable" coin implode lol
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orphaned_block
· 01-08 06:22
It's another rebranding of stablecoin marketing. To put it simply, it's still about the collateralization rate; without real assets backing it, it's all nonsense.
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MidnightSeller
· 01-07 23:50
It's that same "flexible anchoring" approach again, sounding just like dodging risk with Tai Chi.
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MEVSandwichMaker
· 01-07 23:50
Forget it, it's the usual stablecoin stuff. I think we still need to look at hard metrics like collateralization ratios.
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FloorSweeper
· 01-07 23:50
Oh, that's not right. To put it simply, it still depends on the collateralization ratio. Without collateral, it's just an air coin.
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AirdropNinja
· 01-07 23:48
It's that same "different" way of saying... Basically, it's still fear of repeating Luna's mistake.
Luna's hole hasn't been filled yet, and now there's a new coin, gotta keep a sharp eye.
Over-collateralization sounds stable, but who guarantees it won't suddenly collapse?
110%-150%—can we really trust this? Why do these numbers seem so "coincidental"?
Algorithmic stablecoins are just a game of pass-the-parcel, there's really nothing new.
With such deep marketing tricks, I'd rather stay cautious and not mess around.
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FlashLoanPhantom
· 01-07 23:24
Once again with this kind of marketing jargon, still not learning the lesson from Luna, huh?
Discussions about stablecoins are often easily confused, especially when seeing the term "Destablecoin." Many people's first reaction is to think of failed algorithmic stablecoins like Luna. But if you look closely at the structure, you'll find that the risk logic of these two is completely different.
Algorithmic stablecoins are usually under-collateralized or even uncollateralized, relying on endogenous token issuance to balance supply and demand—this model essentially bets on confidence. In contrast, lisUSD follows the MakerDAO approach, with strict over-collateralization to provide a safety net. This difference may seem like a detail, but it actually determines the fate of the project.
Here, "De" doesn't simply mean decentralization; it refers to the tolerance for price fluctuations—it doesn't have to pursue a 1:1 fiat peg, allowing for some fluctuation within a certain range to buffer market shocks. In other words, lisUSD is fundamentally a traditional collateralized stablecoin with a more flexible anchoring strategy. The 110%-150% over-collateralization is a real safety cushion, not an algorithm-driven bubble.
Therefore, when analyzing such products, it's crucial to peel back the marketing rhetoric and understand the underlying asset structure.