一文看懂 Fluid 机制:如何在大规模清算事件中化解流动性危机?

链捕手Pubblicato 2025-02-11Pubblicato ultima volta 2025-02-11

原标题:《How Fluid DEX made Fluid the safest Money Market during the largest liquidation event in history》

作者:DMH

编译:深潮 TechFlow

 

(原图来自 DMH ,由深潮 TechFlow 编译)

摘要

  • Fluid 在历史上最大规模的清算事件中表现出色,顺利完成清算,为用户节省了数百万美元。

  • Fluid 是目前唯一一个能够主动应对流动性危机的借贷市场。

  • Fluid DEX 的设计进一步提升了 Fluid 借贷市场的安全性和用户体验。

背景

上周市场发生了有史以来最大规模的清算事件,而 Fluid 再次展现了其强大的稳定性。在此次事件中,Fluid 以市场上最高的清算阈值(Liquidation Threshold,高达 97%)和最低的清算罚金(Liquidation Penalty,低至 0.1%)顺利完成了清算操作。

清算事件中借贷市场面临的主要威胁是什么?

  1. 因未能及时清算而导致的不良债务。

  2. 需要被清算的资产利用率达到 100%,导致无法完成清算。

在去年 8 月市场崩盘中,ETH 在短短 4 分钟内暴跌 16%,我曾详细分析过 Fluid 是如何通过高效的清算机制为用户挽回数百万美元损失的。

推文详情

然而,与其他会再抵押(Rehypothecate)资产的借贷市场一样,Fluid 之前缺乏针对流动性危机的完善安全机制。为更好地说明这一点,需要了解清算的基本流程:清算人需要扣押抵押品并偿还债务以完成清算。如果需要清算的抵押品已经被完全借出,则清算无法进行,协议也因此会产生不良债务。

Fluid DEX 的引入如何改变现状

在市场突然崩盘的情况下,市场中的 ETH 会被卖出以换取 USDC。在这种情形下,去中心化交易所(DEX)协议的流动性提供者(Liquidity Providers,简称 LPs)会接收 ETH,同时向交易者提供 USDC。这一过程有效地增加了协议中 ETH 的流动性,并进一步提升了整个 Fluid 系统的 ETH 流动性,从而避免了流动性危机的出现。

相反地,当市场处于上涨趋势时,清算的方向会更偏向于 USDC 抵押和 ETH 债务的交易对。在这种市场环境下,更多的 USDC 会流入 Fluid 系统,而 ETH 会流出。这种动态增加了 USDC 的流动性,使得清算过程更加高效和顺畅。

Fluid 是目前唯一一个可以主动防范流动性危机的借贷市场。相比之下,其他借贷市场只能通过被动措施(例如,当资产利用率升高时提高借贷年利率 APR)来应对流动性问题。然而,这种被动方式在市场突然闪崩时往往效果不佳。

Fluid 借贷市场最初由 Fluid DEX 提供支持,而现在 Fluid DEX 反过来通过确保清算时始终拥有充足的流动性,为 Fluid 借贷市场带来了巨大的优势。这种协同作用显著提升了资金市场的运行效率,使其效率提高了 10 倍之多。

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The founder of Baixing Wang states that while large language models (LLMs) are an extremely important foundational technology—akin to electricity or the internet—he only "half believes" the notion that they will "consume everything." He argues that LLMs provide a base layer of intelligence, but real-world value and transformation come from integrating this intelligence into specific applications and devices designed for particular scenarios—like how electricity powers various appliances from washing machines to TVs. He agrees LLMs will likely consume or replace a significant portion of existing rule-based, workflow-driven software (e.g., many SaaS systems, CRMs), as these are precisely what LLMs excel at handling. However, numerous other elements—such as customer data, execution capabilities (e.g., booking a flight), trust, and physical-world interactions—will not be consumed. Wang emphasizes that after LLMs absorb certain software layers, they will open up a much larger space for innovation: new types of "streaming" software with less rigid interfaces, where fixed rules are managed by AI. This next wave of applications built on top of the stable LLM foundation is where the true mainstream opportunity lies. He cautions against the short-sightedness of declaring any technology as all-consuming, drawing parallels to past premature predictions about internet giants monopolizing the web. The key is to find opportunities within the areas LLMs do transform.

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