封装代币 板块
综合强度 7.4实时WRAP · INFRA
包装代币提供了一种绕过不同区块链之间缺乏互操作性的方法。代币的包装发生在原始资产被放入一个“包装器”并在一个不同的区块链上部署时。通过包装,该加密货币现在可以在之前不可用的区块链上使用。包装代币的一个例子是 Wrapped Bitcoin (WBTC)。它是比特币的 ERC-20 版本,使其能够在基于以太坊的协议上使用。观看这个视频以了解更多关于包装代币的信息。
板块表现 · 与大盘对比
板块指数(基期:2024-10-01 = 100)
0.040.00% (30D)
同期 BTC 涨幅
+21.72% · 跑赢 -21.7pp
加载中...
龙头分析 · Top 3 深度
Wrapped Beacon ETH
WBETH · 板块占比 36652.5%
$2,749.05-0.00% · 24H
市值$9.25B
FDV$9.25B
换手率0%
板块占比36652.5%
为什么领先:WBETH依托以太坊质押资产属性,兼顾收益与流动性,是用户在链上获取ETH敞口的重要封装形态,适合DeFi抵押、交易和资产管理场景。

Wrapped Bitcoin
WBTC · 板块占比 36355.2%
$79,024.55-0.72% · 24H
市值$9.18B
FDV$9.18B
换手率0%
板块占比36355.2%
为什么领先:WBTC是封装代币赛道的绝对基准资产,把比特币流动性引入以太坊及DeFi生态,兼具品牌认知、深度和跨链可用性,长期承担“BTC上链”核心入口角色。

Wrapped stETH
WSTETH · 板块占比 34590.2%
$2,366.96+1.95% · 24H
市值$8.73B
FDV$8.73B
换手率0%
板块占比34590.2%
为什么领先:WSTETH是流动性质押资产的代表,封装后更适配DeFi协议的抵押与组合策略,市场接受度高、用途广,体现了封装代币向收益型资产延展的趋势。
板块成分代币
| # | 代币 | 评级 | |||||
|---|---|---|---|---|---|---|---|
1 | $0.1774 | +14658.43% | 0.00% | $27.41M | $2.36K | B | |
2 | $2,709.75 | +31.20% | 0.00% | $30.56K | $27.94 | B | |
3 | $0.02389 | +29.54% | 0.00% | $987.86K | $10.13K | B | |
4 | $64,702.28 | +15.87% | +100.00% | $7.54M | $8.44K | B | |
5 | $0.0004271 | +11.57% | 0.00% | $41.79K | $428.69 | B | |
6 | $0.01864 | +9.42% | 0.00% | $2.69M | $148.30K | C | |
7 | $0.09121 | +7.03% | -12.61% | $3.84M | $20.59K | C | |
8 | $0.0075 | +6.75% | 0.00% | $208.32K | $617.89 | C | |
9 | $0.9881 | +6.45% | 0.00% | $641.36K | $1.75K | C | |
10 | $0.006626 | +5.95% | 0.00% | $24.69M | $4.17K | C |
投资论点 · AI 综合
看多论点 · 4
封装代币是跨链互操作的基础设施,能把主流资产快速接入更多DeFi场景。
WBTC、WBETH、WSTETH都具备强共识和高可用性,龙头效应明显。
质押型封装资产兼具收益与流动性,容易获得资金偏好。
板块7日资金流入偏强,说明市场对该类资产仍有配置需求。
看空论点 · 3
封装代币本质上依赖底层资产与托管/映射机制,存在结构性信任成本。
赛道叙事偏基础设施,缺少高弹性催化时容易跑输热点板块。
龙头集中度高,新增资金更容易流向少数头部资产,边际扩散有限。
情绪 & KOL 立场
AI 综合情绪(最近 7D)看多 70% · 中性 13% · 看空 17%
看多 70%中性 13%看空 17%
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
2025-10估值修复
市场轮动下封装代币低位修复
在山寨轮动和跨链叙事回暖下,封装代币板块出现低位修复,但资金仍更偏向高流动性、低风险标的。
2024-02协议发布
新型跨链协议推动封装模式演进
更多跨链协议与流动性网络上线,封装代币从单一包装资产扩展到更广义的跨链表示与资产迁移方案。
2023-03监管警示
监管关注提升封装资产合规压力
围绕托管、包装和跨链转移的监管讨论升温,封装代币项目开始更强调透明度、储备证明和合规路径。
2022-06风险点
桥接与托管风险引发重新定价
跨链桥安全事件频发,市场开始更谨慎看待封装代币的托管、铸造与赎回机制,风险溢价上升。
2021-05机构入场
机构资金推动WBTC等流动性扩张
随着机构和做市需求上升,封装比特币等资产在链上流动性中占据更重要位置,市场对可组合性的关注明显增强。
2020-06生态扩张
DeFi繁荣放大封装资产需求
DeFi热潮提升了对WBTC、renBTC等封装资产的使用需求,封装代币成为借贷、交易和收益策略的重要入口。
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