数据解析NEAR生态,DEX协议Ref Finance如何从中受益?

深潮TechFlowPubblicato 2022-04-24Pubblicato ultima volta 2022-04-24

Introduzione

NEAR 的 TVL 持续增长,其中 Ref Finance 份额达到了 47%。

提前解释一下文章中提到的协议:
Ref Finance($REF):一个基于 NEAR 区块链建造的DEX,用户在 Ref 平台质押时,REF可转换为xREF。
Aurora($AURORA):一个基于 NEAR 构建的与以太坊兼容的扩展解决方案。
Rainbow Bridge(彩虹桥):该桥由 Aurora 创建和维护,允许用户在使得NEAR、以太坊和 Aurora 之间交易代币。
Aurigami:Aurora上的去中心化借贷协议。
Bastion($BSTN):一个去中心化的借贷协议,根据供需在算法上设定利率。基于Compound 构建,并建立在 NEAR 的 EVM 兼容层 Aurora 之上。
$USN:Near生态即将推出的稳定币。
$NEAR 生态系统正在蓬勃发展,最近几天刚通过彩虹桥获得了大量资金。

协议

从表面上看,没有什么钱离开生态,这意味着用户的留存很好。

协议

NEAR 的 TVL 持续增长,其中 Ref Finance 份额达到了 47%。Near生态目前只有5个协议,更多即将推出。

协议

Aurora($AURORA)生态的 TVL 也在爆炸式增长,已经达到 11.9 亿美元的 TVL。BastionProtocol 的TVL 在 Aurora 生态占比达到 48% ,其最近推出了原生代币$BSTN和流动性挖矿计划。另外,Aurora生态上的 Aurigami 也在提供更多激励。

协议

结合起来看,[ $NEAR + $AURORA ] 的 TVL 达到了16.3亿美元,已经超过了Polkadot($DOT)。而NEAR上的稳定币 $USN 甚至还没有推出。

协议

与其他链相比,$NEAR 在过去 7 天涨幅最大($NEAR +21.5%, $RUNE +10.4%, $LUNA+5.2%),在过去 30 天涨幅第二($DOT +1054%, $NEAR+172%, $RUNE +46%)。
Ref Finance($REF)正在快速增长,趋势很明显。从 2 月 15 日起 TVL 增加了 300% ,平均每日交易量增加了 257% 。这意味着 Ref 生态获得了高额的交易费用,从而使 xREF 持有者获得了良好的质押奖励。

协议

持有 $REF 的唯一地址数量在持续增加。

协议

截至今天,生态已经向 xREF 持有者分发了 485,000 美元。在不到一个月的时间里,质押 $REF 的数量从 210 万增加到了 370 万(+76%)。

协议

协议

Ref 的流通供应量也在增加。Ref 作为一个新的 DEX,它的目标是为协议带来流动性和用户。为了进一步了解这种现象,重要的是分析比较质押的 $REF 比率如何随着流通供应量和时间变化:
分为 2 个阶段:
第一阶段:稳定 --> 质押 REF 比率保持不变。这意味着 xREF 正在随着供应增长。
第二阶段:爆炸性增长 --> xREF 目前的增长速度超过 REF 的流通供应量。

协议

在 3 周内,质押 $REF 的比率从 20% 增加到了30%多。对 xREF 的高质押率很容易进行解释:
①用户买入 NEAR 生态上的顶级DEX的原生代币REF
②同时还想赚取约 10% 的 APY
于是用户将REF质押转换成xREF,用它作为产生收益的抵押品。

协议

ve-tokenomics 的推出将极大增加 $REF 的需求,因为其他协议(类似于 $CVX)似乎会收集尽可能多的 xREF。要知道 Ref 是一个具有稳定交换池的 AMM 协议,xREF 持有者将拥有对流动性计量器进行投票的权利。
鉴于 $USN 未来的推出,这个稳定交换池也会是 $REF 的关键产品:
- TVL 将增加,因为$USN将会产生交易对(比如USN-NEAR)并且会有激励措施
- Ref Finance (以及 xREF 用户)将从$USN 的交易量中获得交易费
另外,NEAR 团队最近宣布了一件大事:通过 Ref 聚合器进行跨链合约调用,将 NEAR 和 Aurora 的 DEX 流动性进行聚合,5 月开始 $REF 将能使用该流动性。
这个聚合器是 Ref Finance 的一个内置功能,它能聚合 Aurora 和 Near 上的 DEX 上的数百个交易对,并且由于自动路由器和更深的流动性,将提供更便宜的价格。所有这些都部署在 Ref Finance 和 NEAR 主网上。

协议

NEAR 团队还计划推出锁定 LP,运作模型类似于存款证明 (CD) 。Farmer 将能够在特定时间段内锁定其 LP 代币以获得更高的奖励,这减少了“雇佣兵”流动性并使协议更具可持续性。

协议

团队正在开发的其他功能包括:自动化复利;Zap 功能;中央限价订单簿集成;定期回购

协议

Letture associate

a16z: The Next Frontier of AI, The Triple Flywheel of Robotics, Autonomous Science, and Brain-Computer Interfaces

a16z presents a comprehensive investment thesis for the next frontier of AI: Physical AI, centered on a synergistic flywheel of robotics, autonomous science, and novel human-computer interfaces (HCIs) like brain-computers. While the current AI paradigm scales on language and code, the most disruptive future capabilities will emerge from three adjacent fields leveraging five core technical primitives: 1) learned representations of physical dynamics (via models like VLA, WAM, and native embodied models), 2) embodied action architectures (e.g., dual-system designs, diffusion-based motion generation, and RL fine-tuning like RECAP), 3) simulation and synthetic data as scaling infrastructure, 4) expanded sensory channels (touch, neural signals, silent speech, olfaction), and 5) closed-loop agent systems for long-horizon tasks. These primitives converge to power three key domains: * **Robotics:** The literal embodiment of AI, requiring all primitives for real-world physical interaction and manipulation. * **Autonomous Science:** Self-driving labs that conduct hypothesis-experiment-analysis loops, generating structured, causally-grounded data to improve physical AI models. * **Novel HCIs:** Devices (AR glasses, EMG wearables, BCIs) that expand human-AI bandwidth and act as massive data-collection networks for real-world human experience. These domains form a mutually reinforcing flywheel: Robotics enable autonomous labs, which in turn generate valuable data for robotics and materials science. New interfaces provide rich human-physical interaction data to train better robots and scientists. Together, they represent a new scaling axis for AI, moving beyond the digital realm to interact with and learn from physical reality, promising significant emergent capabilities and value.

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a16z: The Next Frontier of AI, The Triple Flywheel of Robotics, Autonomous Science, and Brain-Computer Interfaces

marsbit9 min fa

Conversation with Bitwise Advisor: From K-Shaped Economy to AI Taking Jobs, How Can Bitcoin Save the Younger Generation?

Jeff Park, a macro strategist and advisor at Bitwise, argues that the traditional financial system is broken, particularly for young generations. He describes a "K-shaped economy" where asset inflation enriches the wealthy while leaving others behind, with unaffordable housing as a key symptom. Park explains that real estate is often a depreciating asset due to maintenance costs and taxes, yet it remains unattainable for many young people due to distorted demand from global capital flows. He proposes Bitcoin as a superior store of value—scarce, portable, and free from maintenance costs or excessive taxation. By diverting capital away from real estate, Bitcoin could help lower housing prices and increase accessibility. Park also discusses the decline of traditional "smart investing" (e.g., value stocks) and the rise of "ideological investing" in non-correlated assets like crypto, luxury goods, and collectibles. On AI, Park warns it could trigger extreme social inequality by eliminating jobs while boosting corporate profits. He believes this will push younger generations toward Bitcoin, not only as a hedge but also as a symbol of decentralization and data sovereignty—offering an alternative to centralized AI systems that use personal data without fair compensation. He advises a diversified portfolio with Bitcoin as a core holding to hedge against currency devaluation and systemic risk.

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Conversation with Bitwise Advisor: From K-Shaped Economy to AI Taking Jobs, How Can Bitcoin Save the Younger Generation?

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