Aster Chain主网上线:定义链上隐私与透明度的新时代

TheNewsCryptoPubblicato 2026-03-17Pubblicato ultima volta 2026-03-17

Introduzione

2026年3月17日,Aster Chain主网正式上线。该项目由YZi Labs支持,致力于构建一个以隐私为核心的交易生态系统,旨在解决DeFi领域因完全透明导致的“头寸狙击”问题。Aster通过将加密技术直接嵌入执行层,默认提供隐私保护,确保交易策略和仓位信息不被公开利用,从而保护用户免受市场操纵。 Aster采用零知识验证加密和隐身地址机制,所有订单在上链前即被加密,确保交易活动与用户钱包无关联,且支持选择性披露以满足合规需求。此外,Aster Chain具备超过10万TPS的吞吐量和50毫秒的区块时间,无Gas费,提供媲美中心化交易所的性能体验。 Aster强调隐私是基本权利而非可选功能,其架构既保障去中心化原则(如自托管和无需许可),又通过原生桥接BNB Chain及预言机服务确保数据可靠性。主网上线后,Aster将启动质押计划,并鼓励开发者基于Aster Code构建更多金融产品。 Aster支持加密货币、股票及商品的永续合约和现货交易,致力于推动去中心化金融的下一波创新。

英属维尔京群岛乔治城,2026年3月17日,Chainwire

由YZi Labs支持的隐私优先交易生态系统Aster今日宣布正式上线Aster Chain主网。这一专为Layer 1区块链设计的解决方案旨在破解现代DeFi的"透明度陷阱",为全球专业和零售交易者提供机构级隐私保护与中心化交易所级别的性能。

终结链上仓位猎杀时代

透明度是去中心化金融的典型特征,由公共账本、可验证交易和开放协议支撑。然而,协议与用户之间的透明度不同于市场参与者之间的透明度。当交易活动(包括订单部署、头寸规模和清算水平)完全在链上可见时,这些信息可能被其他市场参与者观察利用。

在完全透明的平台上,仓位猎杀行为——即交易者识别大额头寸、查看其清算价格并协同触发强制清算——已导致交易者损失数百万美元。最著名的是2025年3月,某交易者在完全透明平台开设了3.75亿美元的BTC 40倍空头头寸,交易者迅速在Twitter上公开协调资金池进行猎杀。

Aster的默认隐私设置彻底消除了此类攻击面。

Aster核心主张:隐私是基本权利

与将隐私作为可选功能或第三方封装层的现有解决方案不同,Aster Chain将加密技术直接嵌入执行层。在Aster上,隐私是默认设置而非特权。

Aster隐私技术栈采用ZK可验证加密架构:

  • ZK可验证加密+隐形地址机制:所有订单上链前均经过ZK可验证加密;启用账户隐私后,订单通过独特地址路由,确保用户钱包与交易活动无关联,防止第三方追踪、关联或重构交易
  • 选择性披露:资产转移保持可追溯性以满足合规要求,但执行层保护战略意图。用户可自主公开活动记录。启用账户隐私后,用户可生成查看通行证供特定方查看私有订单
  • 零性能损耗:Aster Chain实现10万+TPS峰值吞吐量与50毫秒中位出块时间,且无Gas费——性能媲美中心化交易所

"协议与用户间的透明度是基本特征,但交易者与竞争者间的透明度却是关键漏洞",Aster首席执行官Leonard表示,"Aster Chain是唯一将隐私作为公平市场基础需求的架构,从底层消除掠夺性攻击"

CEX速度与DEX原则的结合

Aster Chain在坚持自托管、可验证性和无许可访问等去中心化核心原则的同时,提供亚秒级最终确认和高杠杆交易体验。交易隐私功能消除了留在中心化交易所的最后理由。网络支持原生BNB Chain跨链桥与专有预言机,确保高精度价格数据。

推动创新浪潮

主网上线标志着阶段性扩张的开始。除旗舰版Aster交易界面外,生态正通过Aster Code邀请开发者创建专业化金库和协作型DeFi产品。

为庆祝上线,Aster将在一周内启动质押计划以奖励早期支持者和流动性提供者。

关于Aster

Aster是由YZi Labs支持的隐私优先链上平台,通过"隐藏订单"等独特功能保护用户活动。提供加密货币、股票和商品永续合约以及现货交易,由专为去中心化金融未来打造的Layer 1区块链Aster Chain提供支持。

用户可通过官网了解更多信息或关注Aster的X账号。

联系方式

公关与内容经理
陈萝拉 (Lola Chen)
Aster
lola.chen@asterdex.com

Domande pertinenti

QAster Chain主网的主要目标是什么?

AAster Chain主网旨在解决现代DeFi的'透明度陷阱'问题,通过提供机构级隐私和中心化交易所级别的性能,为全球专业和零售交易者打造一个隐私优先的交易生态系统。

QAster Chain如何保护用户交易隐私?

AAster Chain在执行层直接嵌入加密技术,采用ZK可验证加密和隐形地址机制,确保订单在链上加密,用户交易活动与钱包地址无关联,防止第三方追踪或重构交易。同时支持选择性披露,用户可自主选择公开活动或通过查看通行证分享给特定方。

QAster Chain的性能表现如何?

AAster Chain实现了超过10万TPS的峰值吞吐量和50毫秒的中位区块时间,且无燃气费,性能可与中心化交易所相媲美,同时保持去中心化原则如自我托管和无需许可访问。

Q什么是'仓位狩猎',Aster如何解决这一问题?

A'仓位狩猎'指交易者通过观察链上大额仓位和清算价格,协调资金强制触发清算的行为。Aster通过默认隐私设计完全移除此攻击面,加密交易信息防止市场参与者利用透明性进行 predatory 攻击。

QAster生态系统的扩展计划包括哪些?

A主网上线后,Aster将分阶段扩展生态,除旗舰交易界面外,还通过Aster Code邀请开发者创建专业金库和协作DeFi产品,并在一周内启动质押计划以奖励早期支持者和流动性提供者。

Letture associate

PANews Column Registration and Article Submission Guide

"PANews Column Registration and Submission Guide" provides instructions for users to register as columnists and publish articles on the PANews platform. Key application requirements are emphasized: content should focus on in-depth analysis within Crypto, Web3, blockchain, data, and viewpoints. Content primarily for brand/product introductions will not be approved, and heavily AI-generated content will be rejected. Promotional (PR/soft) content is directed to the business channel. **Registration Process:** * **Web:** Go to the official website footer, click "Apply for Column," and register with a phone number or email (login via verification code, no password). Fill in the column name, description, upload an avatar, and submit links to previously published work. * **Mobile:** Navigate to "My" -> "Contribute & Create" and complete the form. **Article Submission Tutorial:** 1. Log in to the PANews website. 2. Access the "Creator Center" from your personal homepage. 3. Use the editor to create and publish articles. **Video Upload:** The platform supports embedding videos from third-party sites (e.g., Bilibili). Copy the embed code from the source video, use the editor's "Insert/Edit media" button, paste the code under the "Embed" tab, and adjust the display size (recommended: width 100%, height 560px). **PANews Skills (AI Agent Tool):** PANews offers an official AI Agent skill set called PANews Skills, enabling AI tools to query platform content, track trends, and publish column articles directly. It includes three main skills: 1. `panews`: For tracking daily must-read lists, popular articles, and funding news. 2. `panews-creator`: For managing columns, publishing articles, and uploading images. 3. `panews-web-viewer`: For parsing PANews webpages into Markdown. These skills are compatible with various AI Agent tools (OpenClaw, Cursor, Claude Code, ChatGPT, Gemini, etc.). To use the `panews-creator` skill, users must obtain a specific authentication value from the PANews website after logging into their columnist account.

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For the past two weeks, I've been immersed in Vibe Coding—using AI to write code from natural language descriptions. This process has enabled me to quickly build functional tools that address long-standing personal ideas. Previously, I had many concepts but found execution too cumbersome. Key ideas included a unified dashboard for assets across US stocks, Crypto, HK stocks, and A-shares; a real-time alert system for price movements; an investment map visualizing sector relationships; and a tool to correlate prediction market bets with news and market data. Traditional development hurdles meant these often remained unrealized. Using AI (Codex, Claude Code, and DeepSeek API), I built four initial tools: 1. A **Cross-Market Asset Dashboard** showing total assets, daily P&L, and holdings by market, with added features for alerts and sector mapping. It's deployed locally for privacy. 2. A **Prediction Market (PM) Monitor** tracking bets on events (e.g., company valuations) and correlating probability shifts with news and market movements. I categorize bets by conviction to filter noise. 3. A **Simple Operations Backend** for managing my writing workflow (topics, progress, publishing). It's cloud-deployed for mobile access. 4. A **One-Click Formatting Tool** that automates converting drafts into various platform-specific formats, saving manual effort. While these tools are basic, they represent a significant shift: AI lowers the barrier to creating personalized systems. I believe individual investors can now feasibly build core systems for: * **Asset Observation** (tracking holdings and changes) * **Signal Monitoring** (watching for key market shifts) * **Sector Mapping** (understanding network relationships within a sector) * **Performance Review** (documenting rationale and outcomes) The power of Vibe Coding is its fast feedback loop. Ideas can be implemented, tested, and iterated on rapidly, turning "want-to-do" into "done." This marks the start of my new phase, where I'll share investment thoughts, tool tests, on-chain operations, and educational Web3 content.

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Title: How to Exit After Asset Tokenization? Author: Symbiotic Compiled by: Hu Tao, ChainCatcher Summary: Tokenization addresses how assets go on-chain but largely leaves the redemption question unresolved. While tokenized assets can settle instantly, the underlying redemption for assets like treasuries, private credit, or real estate can take from T+1 to 180 days. This gap hinders DeFi adoption of Real World Assets (RWAs). Three emerging models aim to provide instant exit liquidity, differing primarily in their capital structure and efficiency: 1. **Balance Sheet Model (e.g., Grove Basin):** A single entity (like Sky) provides immediate liquidity from its balance sheet, acting as a bridge during the settlement period. It offers simplicity and deep initial liquidity but is constrained by a single entity's capacity and risk appetite. 2. **Asset-Specific Vault Model (e.g., Upshift Clear):** Independent liquidity providers fund dedicated vaults for each supported asset, earning fees. It decentralizes capital sources but isolates liquidity and capital per asset, leading to potential fragmentation. 3. **Shared Liquidity Layer Model (e.g., Symbiotic Liquid Lane):** A shared capital pool supports multiple RWA types simultaneously. Funds remain productive between redemptions (e.g., earning yield in lending markets). Exits are settled via a competitive RFQ market. This model aims for higher capital efficiency, scalability across assets, and serves longer-duration assets like private credit. Key differentiators are: 1) Source of capital and risk bearer, 2) Redemption pricing mechanism, 3) Capital efficiency, 4) Scalability to new asset types, and 5) Composability. The shared liquidity layer model represents a move from piecemeal solutions toward scalable infrastructure, enabling T+0 exits by pooling capital, maintaining yield, and using competitive pricing, thus enhancing RWA utility in DeFi.

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After Tokenizing Assets, How to Exit?

After tokenization, a key unresolved issue is providing holders with a reliable exit mechanism, as underlying asset settlement (taking days to months) lags far behind on-chain token settlement. Three primary models for instant liquidity have emerged, differing in their capital structure and efficiency: 1. **Balance Sheet Model (e.g., Grove Basin):** A single, well-capitalized entity (like Sky) provides immediate liquidity from its own reserves. This offers simplicity and deep initial liquidity but is constrained by that single balance sheet's capacity and risk appetite, limiting scalability. 2. **Dedicated Vault Model (e.g., Upshift Clear):** Independent liquidity providers (LPs) fund separate vaults for each supported asset. This decentralizes capital sources but isolates liquidity and capital, which becomes inefficient as the number of tokenized assets grows. 3. **Shared Liquidity Layer Model (Symbiotic Liquid Lane):** Independent capital providers fund shared vaults that can support multiple tokenized assets simultaneously. Capital remains productive between redemptions (e.g., earning yield in DeFi markets). Exits are settled via a competitive RFQ market where market makers bid. The article argues that the shared layer model offers superior capital efficiency and scalability. It transforms exit liquidity from an asset-specific patch into shared market infrastructure, allowing liquidity capacity to grow with overall market participation rather than being fragmented per asset. This is particularly valuable for longer-duration assets like private credit, where reliable T+0 exits can significantly enhance their utility in DeFi.

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