加密资产支持代币 板块
综合强度 8.4实时RWA · INFRA
加密抵押代币是由其他加密货币支持或担保的数字资产。稳定币不包括在此类别中,并单独归类于加密抵押稳定币类别。
板块表现 · 与大盘对比
板块指数(基期:2024-10-01 = 100)
0.79+31.67% (30D)
同期 BTC 涨幅
+21.72% · 跑赢 9.9pp
加载中...
龙头分析 · Top 3 深度
Wrapped Beacon ETH
WBETH · 板块占比 2154.2%
$2,755.29+0.13% · 24H
市值$9.27B
FDV$9.27B
换手率0%
板块占比2154.2%
为什么领先:WBETH依托以太坊质押收益属性,既保留ETH敞口又增强资金效率,在资产支持代币中兼具收益型与抵押型双重需求,适合机构与DeFi场景。

Wrapped Bitcoin
WBTC · 板块占比 2133.5%
$79,083.63-0.69% · 24H
市值$9.18B
FDV$9.18B
换手率0%
板块占比2133.5%
为什么领先:WBTC是资产支持代币赛道的绝对龙头,直接锚定比特币资产,兼具高认知度、强流动性和跨链可用性,常被用作DeFi抵押与结算核心资产。

Wrapped stETH
WSTETH · 板块占比 2028.4%
$2,366.96+1.95% · 24H
市值$8.73B
FDV$8.73B
换手率0%
板块占比2028.4%
为什么领先:WSTETH代表流动性质押资产的高流动性形态,市场接受度高、可组合性强,常作为DeFi抵押和收益策略底层资产,龙头地位稳固。
板块成分代币
| # | 代币 | 评级 | |||||
|---|---|---|---|---|---|---|---|
1 | $0.1774 | +14658.43% | 0.00% | $27.41M | $2.36K | B | |
2 | $0.02389 | +29.54% | 0.00% | $987.86K | $10.13K | B | |
3 | $64,702.28 | +15.87% | +100.00% | $7.54M | $8.44K | B | |
4 | $0.0004271 | +11.57% | 0.00% | $41.79K | $428.69 | B | |
5 | $0.9881 | +6.45% | 0.00% | $641.36K | $1.75K | C | |
6 | $0.006626 | +5.95% | 0.00% | $24.69M | $4.17K | C | |
7 | $1,961.35 | +5.24% | 0.00% | $73.38K | $416.71 | C | |
8 | $0.002021 | +5.24% | 0.00% | $3.22K | $416.71 | B | |
9 | $0.06333 | +5.16% | 0.00% | $457.65K | $28.39K | C | |
10 | $13.22 | +5.11% | 0.00% | -- | -- | C |
投资论点 · AI 综合
看多论点 · 4
板块7日净流入强,说明资金正在集中回补资产支持代币。
资产支持代币兼具抵押、结算和收益属性,DeFi需求韧性较强。
WBTC、WBETH、WSTETH三大龙头流动性深,容易承接增量资金。
板块热度极高,短线仍有情绪扩散和轮动机会。
看空论点 · 3
板块24小时涨幅过热,短线容易出现获利回吐。
WBTC和WBETH当日回调,说明龙头也存在高位震荡压力。
资产支持代币高度依赖底层资产表现,若主资产走弱会拖累估值。
情绪 & KOL 立场
AI 综合情绪(最近 7D)看多 70% · 中性 14% · 看空 16%
看多 70%中性 14%看空 16%
vitalik.eth · @VitalikButerin
@VitalikButerin · 6.0M 粉丝
A lot of important progress on Frames (EIP-8141) has been quietly happening over the last few months. Highly recommend reading this, also the updated EIP https://t.co/jYqeS55j6P https://t.co/CPYONKnWZc
vitalik.eth · @VitalikButerin
@VitalikButerin · 6.0M 粉丝
One optimistic and still very-non-consensus belief I have about the far future of cryptography: I think that there is a 33% chance that, for average real-world computation, there exist ways to implement all three of what I call the Egyptian God Protocols (SNARK, FHE, iO) with 1+ε factor overhead (meaning, for large enough instances, the added overhead of cryptographizing a computation becomes arbitrarily small compared to the base cost of doing the computation itself) And a 60% chance that all three can be done with single-digit overhead (ie. <10x, measured in total cost of energy plus amortized compute) I think there's a good chance we'll get one of these (probably SNARKs with single-digit overhead) by the end of this decade. After all, we're already there for specialized hash functions and for some LLM inference.
vitalik.eth · @VitalikButerin
@VitalikButerin · 6.0M 粉丝
One positive consequence of all the recent detailed thinking about transaction formats - not just 8141, also "future of state" discussions eg. UTXOs, PBT, keyed nonces, and also recursive STARK mempool - is that we have a much more explicit understanding of how transactions have "actions" and "dependencies", and we can engineer around optimizing the two separately. An action is an effect that a transaction has. A dependency is a fact about the transaction and/or the state that must be true for the transaction to be valid. eg. a signature is a dependency, a Merkle proof of a UTXO is a dependency, a ZK-SNARK (or STARK) is a dependency, a call that sends ETH is an action Dependencies can be processed in parallel. Dependencies that involve state can be reasoned about by a mempool, especially if the specific state accessed is statically declared. Dependencies that are pure (no state calling allowed) can be processed once at the mempool layer and never need to be processed again - and potentially even replaced with a STARK verifying them, allowing not just execution but also data to be elided. In principle, dependencies and actions can all be expressed as calls (if needed, calls to precompiles). This would make the transaction format itself very bare-bones and minimalist (a list of calls, flags for the type of each call eg. dependencies would be static or pure calls, and origin, nonce, etc) and allows maximum cross-compatibility even if different EVM chains have different features. In 2015-era Ethereum, thinking explicitly about these differences was not very important: execution was execution, there were few enough transactions that we could process them all serially, and single-key ECDSA accounts were good enough for everyone. Ethereum's current scaling strategy, however, requires moving beyond that paradigm. Ethereum is beloved by many developers because the execution and state model is so dynamic and flexible. But dynamic and flexible is not friendly to scaling. Fortunately, >90% of Ethereum's activity by volume does not require anything dynamic and flexible. So, we require contracts, accounts and transactions to more explicitly specify what is dynamic and flexible and what is more statically-analyzable but more restrictive, and more statically-analyzable things get the lowest gas cost and thus scale the most. Effectively, learning from the best of both the 2015-era Ethereum model and a more Bitcoin-like model (reminder: Bitcoin has had what I call account abstraction since the beginning), and making a mixture of both (really, the full spectrum between both) available, with gas costs appropriate for the level of scale involved. New state types, the recursive STARK mempool, keyed nonces, etc all go in this direction. This all relates to transaction types, because a general-purpose transaction type is a very natural interface layer on top of which all of this can be implemented, and the current thinking around the EIP-8141 transaction type is going in this exact direction that is friendly to these kinds of future generalizations. So in that sense, 8141 done well is not just a culmination of 10 years of account abstraction work, it's also preparation for the next few years of responsible decentralization-friendly hyper-scaling.
vitalik.eth · @VitalikButerin
@VitalikButerin · 6.0M 粉丝
Many years of hard work went into the Poseidon family of hashes, and they have provided great real-world value on Ethereum and elsewhere and will continue to do so for several years. They are the reason why it's fast to generate a client-side SNARK for a modern privacy-protocol. The fact that we have ultra-fast general-purpose STARKs (mid-three-digit overhead for basically any batched computation) and may well soon drop to double-digit or even lower is more amazing than anything that we had been hoping for in the early 2020s. Big congratulations to all involved in Poseidon, and all involved in STARKs. https://t.co/cdERDYkj6n
Michael Saylor · @saylor
@saylor · 5.0M 粉丝
Run like your money depends on it. https://t.co/01GpT0Nuhc
Cointelegraph · @Cointelegraph
@Cointelegraph · 2.9M 粉丝
🚨 UPDATE: BitMine only needs to buy 200,000 more $ETH to reach their goal. https://t.co/yu93aQaber
关键事件时间线 · 板块兴起到当前
2024-10板块兴起
高换手率下再度成为热点
近期板块热度显著抬升,部分代币在高换手与快速轮动中重新吸引投机和短线资金。
2023-11估值修复
资金回流推动板块修复
在市场风险偏好回升时,部分加密抵押代币随资金轮动出现估值修复,交易活跃度改善。
2022-06风险点
桥接安全事件重塑风险认知
多起桥接与包装资产相关安全事件让市场重新评估托管、铸造和跨链依赖风险。
2021-05机构入场
多链热潮带动包装资产流动
多链叙事升温后,包装资产和桥接代币成为跨生态流动的重要工具,板块关注度明显提升。
2020-09生态扩张
DeFi 需求推动抵押代币使用
DeFi 交易、借贷和流动性挖矿升温,推动更多加密抵押代币进入交易与抵押场景。
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