数读 DeFi 生态：今年 Solana Dex 交易量超 4300 亿，BNB Chain 相关生态增长强劲

深潮Published on 2024-08-19Last updated on 2024-08-19

自 2024 年初以来，DeFi 迎来了复苏，TVL 从 560 亿美元增加到 850 亿美元，增长超过 50%。

作者：OurNetwork

编译：深潮TechFlow

DeFi 生态系统

Solana、BNB Chain、Avalanche

Artemis | Dashboard

自 2024 年初以来，TVL 增长了 50%；DEX 交易量激增 3.6 倍

  • 自 2024 年初以来，DeFi 迎来了复苏，TVL 从 560 亿美元增加到 850 亿美元，增长超过 50%。交易、借贷和流动质押等领域显著增长，而再质押为闲置的加密资产开辟了新的使用场景。尽管最近增长平缓，但许多即将到来的比特币二层解决方案可能会解锁新的 DeFi 使用案例。

DeFiLlama

  • 随着 Coinbase 开发的二层解决方案 Base 的出现，DEX 交易经历了爆炸性增长，许多新地址也开始加入 Solana。今年初，前五大链的周交易量从约 200 亿美元增长到今天的 400 亿美元以上。

Artemis

  • 再质押也为 DeFi 的复苏做出了重要贡献。目前，超过 370 万 ETH 被锁定在再质押协议中，Pendle 等平台推动了更多的使用。随着 2024 年更多的 AVS（自动化价值服务）出现，再质押的格局将继续演变。

Artemis

1.Solana 上的 DeFi

Nitin Shukla | Website | Dashboard

接近新高：自 2024 年 1 月以来，Solana DEX 交易量接近 4300 亿美元

  • 自 2024 年 1 月以来，Solana 生态系统中的 DEX 交易量已超过 4300 亿美元。最近几个月，平均每月交易量在 600 亿至 800 亿美元之间，活跃钱包数量超过 3450 万个。Jupiter 交易所占据了总交易量的 52.8%，交易额约为 2280 亿美元。此外，Orca、Raydium、Lifinity 和 Meteora 等交易平台的存在，展示了 DEX 领域的持续创新。

topledger.xyz

  • 自 2023 年 1 月以来，Solana 上的 NFT 二级市场经历了显著增长，交易量超过 4130 万 SOL，约合 22.5 亿美元。市场保持了强劲的活跃度，80 万个独立钱包共获得了 1730 万个 NFT。

topledger.xyz

  • 自 2021 年 8 月以来，530,000 个独立钱包在 Solana 生态系统内的各种 LST 协议中完成了 1260 万次质押交易。这些协议目前共同管理超过 2400 万 SOL 的质押资产。其中，Jito 占据了总质押 SOL 的 50%。

topledger.xyz

  • 交易级别分析：Solana 的 Token-2022 程序已处理超过 1800 万笔交易，创造了 685,000 个代币，其中包括 90,000 个可替代代币。作为对 Solana 原代币框架的升级，它支持铸造、销毁、转移费用和计息代币。

2.BNB 上的 DeFi

Jimmy Zhao | Website

根据 BNB Chain 的 2024 年展望，其主要目标之一是为 DeFi 开发者提供最强大和活跃的生态系统之一。

  • BNB 智能链（BSC）的 TVL 约为 62 亿美元，在 Layer 1 中排名第三，仅次于以太坊和 Tron。在 BSC 内，Venus 和 PancakeSwap 以约 35 亿美元的总 TVL 领先。

内部 Dashboard

  • 除了 BSC，BNB Chain 生态系统还有一个名为 opBNB 的二层网络，目前 TVL 约为 2700 万美元。opBNB 上最有影响力的协议是 KiloEx，这是一个提供高杠杆选项的点对池永续 DEX。KiloEx 目前占 opBNB TVL 的近 64%。

内部 Dashboard

  • BSC 拥有可扩展的生态系统和活跃的用户基础。拥有近 100 万日活跃用户，并且在各层一中拥有最低的 gas 费，低于 0.03 美元，BSC 对开发者极具吸引力。其 EVM 兼容性、快速最终性和链上治理进一步增强了其作为 DeFi 平台的实力。

BscScan

  • 交易级别分析：BSC 已在实时中经过压力测试，以展示其真正的可扩展性。2023 年 12 月 7 日，BSC 创下新纪录，处理了 3200 万笔交易。尽管交易量激增，BSC 的 gas 价格仍维持在 3.7 Gwei，接近其 3 Gwei 的平均水平（此后已降至 1 Gwei），交易费用保持在标准的 0.03 美元，这得益于其每个区块 1.4 亿的 gas 容量。该交易发生在高峰期间，您可以看到交易费用仍然是标准的 0.03 美元。

3.Avalanche 上的 DeFi

cloudr3n | Website | Dashboard

超过 600 万美元的 AVAX 和 COQ 奖励给予 Avalanche 上的活跃和忠诚用户

  • Avalanche 是一个提供高吞吐量和可定制虚拟机的 Layer 1 区块链。在社区空投活动中，Avalanche 基金会向8300名用户空投了超过390万美元的 AVAX 和210万美元的 COQ 迷因币。这些用户参与了 Memecoin Rush 计划和 Diamond Hands，向 Trader Joe 的 Memecoin Rush 金库存入资金。金库在一周内达到了1.25亿美元的峰值 TVL，涉及10个 Avalanche 社区币和超过12000名存款人。

Flipside - @cloudr3n

  • Avalanche 的 TVL 从2024年3月的19亿美元峰值下降了43%，降至8月的11亿美元。流动质押领域的降幅最大，缩水了1亿美元，主要由于 AVAX 价格下跌。DEX 交易所的增幅显著，超过1700万美元，其中交易所 Pharaoh 贡献了1000万美元。DeltaPrime 作为一个多功能协议，增加了最多1200万美元。

Flipside - @cloudr3n

  • Avalanche 基金会于7月推出了一项名为 BOOST 的激励计划，旨在支持其 DeFi 生态系统。目前有迹象表明 BOOST 正在发挥作用——自计划开始以来，Pharaoh 的 TVL 增加了3倍，超过1300万美元，而 DeltaPrime 的储蓄存款和借款分别接近3200万美元和1700万美元，接近3倍的增长。

Flipside - @cloudr3n

  • 交易级别分析：这个地址获得了最高的 LB 激励，价值 43 AVAX！

      该用户在两个池（ggAVAX-AVAX 和 GGP-AVAX）中使用了12万美元的资金，流动性形状仅为1个 bin！想象一下，这样的无常损失，以及添加、rebalance 及移除相同仓位所需的时间。

Trending Cryptos

ctr
CitreaCTR
wstusdt
wrapped stUSDTWSTUSDT
apr
aPrioriAPR
audio
AudiusAUDIO
mantra
MantraMANTRA
xvs
VenusXVS
waxl
AxelarWAXL
bill
Billions NetworkBILL
pyth
PYTH (Pyth)PYTH
rune
THORChainRUNE
velodrome
Velodrome FinanceVELODROME
brev
BrevisBREV
zrx
ZRX（0X）ZRX
cake
PancakeSwapCAKE
jst
JUSTJST

Related Reads

Ethereum down 45% YTD – So why do SharpLink and whales keep buying?

Despite Ethereum (ETH) being down 20-45% year-to-date amid broader crypto weakness, institutional and whale buying activity suggests growing long-term conviction. SharpLink, after an eight-month pause, purchased 5,000 ETH and later added $45.54 million in LSETH, increasing its total holdings significantly despite substantial unrealized losses. Similarly, a new whale wallet accumulated over 18,000 ETH worth $28.9 million in nine days, indicating strategic positioning for future price movements rather than short-term trading. However, this accumulation contrasts with spot Ethereum ETFs, which saw net outflows of $12.85 million recently, highlighting a divergence between direct treasury/whale buyers and ETF investors. While the persistent buying from these large holders may gradually ease selling pressure, a sustained recovery for Ethereum still depends on a reversal in ETF flows and a broader improvement in network demand and market sentiment.

ambcrypto9m ago

Ethereum down 45% YTD – So why do SharpLink and whales keep buying?

ambcrypto9m ago

Just now, DeepSeek V4 updates with DSpark, improving inference speed by 80%

DeepSeek has updated its DeepSeek V4 model with the DSpark speculative decoding framework, achieving a significant 60-85% speedup in generation for Flash models and 57-78% for Pro models while maintaining the same overall throughput. This engineering-focused update, rather than a core architectural change, introduces DSpark to address latency and throughput bottlenecks in high-concurrency production environments. DSpark combines high-throughput parallel generation with adaptive load-aware verification. Its key innovations include a semi-autoregressive generation architecture to model dependencies within token blocks and a hardware-aware confidence-scheduled verification system. This system uses a confidence head to predict token acceptance probabilities, allowing it to dynamically optimize verification length per request and allocate compute only to tokens with the highest expected payoff. The asynchronous scheduler is designed for real-world deployment, ensuring zero-overhead scheduling and continuous CUDA graph replay while preserving the target model's output distribution. In tests across mathematical reasoning, code generation, and daily dialogue, DSpark outperformed state-of-the-art models like Eagle3 and DFlash, increasing average acceptance length by 26.7%-30.9% and 16.3%-18.4% respectively on Qwen3 target models. DeepSeek also open-sourced DeepSpec, a full-stack codebase for training and evaluating speculative decoding draft models, providing a standardized toolkit that includes data preparation tools, model implementations, training code, and evaluation scripts.

marsbit1h ago

Just now, DeepSeek V4 updates with DSpark, improving inference speed by 80%

marsbit1h ago

Can Aavenomics 3.0 sustain AAVE’s recovery rally amid Kraken buyout talks?

Aave Labs CEO Stani Kulechov has dismissed reports of a potential stake sale to Kraken, clarifying that Aave would not sell at a significant discount. He highlighted Aave's substantial annualized revenue and its focus on a broad financial market. Kulechov also announced plans for Aavenomics 3.0, featuring a new automated buyback mechanism. Following these updates, the AAVE token price surged 12%, extending its June recovery rally to over 50% from its recent lows. The rally is partly attributed to reduced selling pressure and positive sentiment from the announced tokenomics plan, despite the token remaining significantly below its all-time high.

ambcrypto2h ago

Can Aavenomics 3.0 sustain AAVE’s recovery rally amid Kraken buyout talks?

ambcrypto2h ago

BIT Research: The 2028 Halving Is Not the End, the Real Shake-Up of the Bitcoin Mining Industry Is Just Beginning

The Bitcoin mining industry is undergoing its most complex structural adjustment since inception. Despite Bitcoin's price holding near $61,000 and the network hash rate approaching a record 1 ZH/s, miner profitability is deteriorating. The industry is operating close to its breakeven point, with the 2028 halving expected to accelerate consolidation. The challenges extend beyond the halving's subsidy reduction; the industry's revenue model has yet to successfully transition towards a fee-driven structure. Increasingly, mining companies are evolving from simple Bitcoin producers into infrastructure and energy operators, including providers of AI/HPC computing power. Competition is shifting from pure hash rate expansion to business model upgrades. Economic pressure is evident. The theoretical daily mining revenue at current prices is around $78 million, yet the actual figure is only about $33 million—a 136% gap. Transaction fees remain low at roughly $220k daily, far below historical implied levels. With a current estimated industry-wide breakeven price near $65,000, mining alone is struggling to generate ideal profits. The 2028 halving is projected to push the fundamental production cost floor to approximately $93,289. This will likely accelerate a shift towards consolidation among larger, well-capitalized miners with diversified revenue streams. Competitive advantage will belong to institutionalized players with access to low-cost energy, AI/HPC hosting operations, and stronger balance sheets. In essence, Bitcoin mining is transitioning from a "mining business" to an "infrastructure business." Future profitability and resilience will depend less on block rewards and more on diversified income sources like energy management and computational infrastructure services. For investors, the key question is not the halving itself, but which miners can successfully navigate this business model transformation.

marsbit2h ago

BIT Research: The 2028 Halving Is Not the End, the Real Shake-Up of the Bitcoin Mining Industry Is Just Beginning

marsbit2h ago

This is How God Karpathy Uses Claude?

Andrej Karpathy, a prominent figure in AI, has reportedly joined Anthropic, leading to a noticeable decrease in his open-source contributions and social media activity. A document claiming to be his personal "CLAUDE.md" file—a set of instructions for the Claude AI to follow within a specific codebase—has been circulating online. While its authenticity is unverified, the content aligns closely with Karpathy's publicly shared principles on effective AI-assisted programming. The document outlines key rules for AI coding assistants, emphasizing the importance of reading existing code thoroughly before writing new code to maintain consistency. It advises against over-engineering, advocating for simple, surgical modifications that match the project's existing style. Other guidelines include clarifying assumptions upfront, writing meaningful tests, thoughtful debugging, and carefully considering dependencies. The core message is that these principles help prevent common AI coding failures, such as introducing unnecessary abstractions, style drift, or making invisible architectural decisions. The community has noted that even experts like Karpathy require detailed instructions to guide AI effectively, akin to managing a junior developer. A related GitHub repository, "andrej-karpathy-skills," which encapsulates these ideas, is reported to significantly reduce Claude's code error rate. Ultimately, the advice stresses that the best CLAUDE.md is tailored to one's own tech stack and coding practices.

marsbit2h ago

This is How God Karpathy Uses Claude?

marsbit2h ago

Trading

Spot

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of SOL (SOL) are presented below.

活动图片

Top Questions