Sei TVL вырос на 85,3% до $462 млн

cryptonews.ruPublished on 2022-11-01Last updated on 2025-04-01

Экосистема Sei (SEI) за последний месяц зафиксировала значительный рост общего заблокированного капитала (TVL). По актуальным данным, показатель TVL достиг $462 млн, увеличившись на 85,3% за 30 дней. Это говорит о серьезном интересе к Sei и DeFi-платформам в пространстве. В условиях изменчивого рынка такой рост подчеркивает конкурентные преимущества сети.

Главным двигателем стала платформа Yei, которая нарастила TVL на 110%, достигнув $223 млн. Stargate также продемонстрировал сильную динамику, увеличив результаты на 136% до $40,3 млн. Проект Avalon укрепил свои позиции, а TVL подскочил на 122%, что позволило достичь отметки $29,5 млн. Эти 3 платформы показали наилучшие результаты за последний месяц.

Однако не все проекты смогли сохранить свои позиции. Silo потеряла 24,1% TVL, опустившись до $34,5 млн. Dragon Swap и Carbon DeFi также испытали снижение, потеряв 23,5% и 18,5% соответственно. Vertex показал крупнейшее падение среди участников, снизив TVL на 43,2% до $1,82 млн. Это говорит о перераспределении ликвидности в экосистеме Sei.

Общий объем сделок в сети Sei за 30 дней составил $2,5 млрд. Количество активных DeFi-платформ достигло 63, что указывает на продолжающееся развитие экосистемы. Увеличение ликвидности подтверждает рост доверия пользователей и стремление к использованию Sei в рамках DeFi-решений.

Рост Sei показывает высокий интерес к сети среди инвесторов и пользователей. Технологические особенности Sei делают его перспективной платформой для DeFi. Если тенденция сохранится, Sei может стать одной из ведущих экосистем в данном сегменте. В ближайшие месяцы развитие экосистемы должно продолжиться. Важно следить за динамикой TVL и активностью ключевых платформ.

Ошибка в тексте? Выделите её мышкой и нажмите Ctrl + Enter

Trending Cryptos

Related Reads

Former SpaceX Engineer Reconstructs Financial Execution System Using First Principles

Former SpaceX engineer Lex Li applies "First Principles Thinking" to financial infrastructure with Plan Execution Lab, recently raising angel funding at a $50M post-money valuation. The team argues that the core function of finance is capital allocation, and the critical gap is not in trading but in execution, which remains highly manual and fragmented. While assets, liquidity, and settlement have migrated on-chain, execution workflows (monitoring, risk management, liquidity coordination) are still human-native. In an era of accelerating AI agents, strategy decay is rapid, shifting the competitive edge from having the best strategy to having the most robust execution network. Plan Execution Lab introduces two core components: 1. **PlanX**: A Financial Execution Protocol designed as infrastructure for the migration from CEX to DEX, providing on-chain execution capabilities, liquidity access, risk management, and capital orchestration. 2. **Xgent**: An Autonomous Financial Runtime. Users define investment intents, risk preferences, and constraints; Xgent automatically constructs an execution graph, verifies it, and handles ongoing execution and optimization—streamlining the process from Intent to Autonomous Execution. The long-term vision is to create the "Bloomberg Terminal for Autonomous Finance"—a shared operating environment and execution network built collectively by participants like execution nodes, liquidity providers, and autonomous agents. The future of finance, they contend, belongs not to isolated algorithms but to open, collaborative execution networks.

marsbit17m ago

Former SpaceX Engineer Reconstructs Financial Execution System Using First Principles

marsbit17m ago

Former SpaceX Engineer Reconstructs Financial Execution System from First Principles

Plan Execution Lab, a financial infrastructure project founded by former SpaceX engineer Lex Li, has raised angel funding at a $50M post-money valuation. The startup is applying "first principles thinking" from Li's SpaceX experience to rethink financial market execution. Their analysis posits that while assets, liquidity, and settlement have moved on-chain, the execution layer remains fundamentally human-dependent and fragmented. In the era of AI Agents, strategy advantages decay rapidly, shifting the competitive edge from isolated algorithms to robust **execution networks**. Plan Execution Lab's solution is a two-part system: **PlanX**, a Financial Execution Protocol designed to facilitate the migration from centralized exchanges (CEX) to on-chain markets by providing core on-chain execution capabilities; and **Xgent**, an Autonomous Financial Runtime. Xgent allows users to define investment goals and constraints, then autonomously constructs and manages the execution logic—moving from **Intent to Execution Graph to Verification to Autonomous Execution**. The long-term vision is to create the "Bloomberg Terminal for Autonomous Finance"—an operating environment not for humans, but for agents and execution nodes. The future financial system, they argue, will be a collaborative network built by diverse participants contributing execution capabilities, not secret strategies. The core competition will shift to who builds the most powerful and adaptive execution network.

链捕手17m ago

Former SpaceX Engineer Reconstructs Financial Execution System from First Principles

链捕手17m ago

First Long-Horizon Doc2Repo Training Dataset: Code Agents Move Beyond Bug Fixing and Begin Creating Repositories

With the advancement of LLM Code Agents, the research focus is shifting towards long-horizon, real-world tasks, moving beyond simple bug fixes to full repository generation. To address this, researchers from Renmin University of China introduced the DeNovoSWE dataset. This dataset focuses on long-term software engineering tasks, specifically the "document-to-repository" challenge—generating an entire, executable code repository from a task description. The DeNovoSWE construction method employs a Divide & Conquer approach. It breaks down target repositories into core capabilities and uses a multi-agent Draft-Critic-Repair workflow to automatically generate high-quality, evaluation-aligned task documents. The dataset also implements difficulty-aware filtering to balance quality and diversity. The result is a high-quality, anti-leakage dataset of 4,818 instances. Experiments show that models trained on DeNovoSWE achieve significant improvements in long-horizon repository generation. For instance, Qwen3-30B-A3B-Instruct's performance on the BeyondSWE-Doc2Repo benchmark increased from 5.8% to 47.2%, and on NL2RepoBench from 4.3% to 23.0%. Similar gains were observed with stronger backbones, demonstrating that dedicated long-horizon training data is crucial for advancing Code Agents from maintainers to architects capable of planning and building complete software projects from scratch.

marsbit32m ago

First Long-Horizon Doc2Repo Training Dataset: Code Agents Move Beyond Bug Fixing and Begin Creating Repositories

marsbit32m ago

Even CZ Praised Hyperliquid as 'Awesome', But Its Biggest Moat Might Also Be Its Biggest Risk

In an episode of Galaxy Brains, Binance founder CZ praised Hyperliquid as "awesome" but clarified that while its product is strong, Binance cannot compete in its specific niche due to Hyperliquid's no-KYC, decentralized model. CZ noted he would not personally operate such a model, highlighting the inherent legal and compliance risks tied to its access advantage. The discussion underscores a core market structure conflict: on-chain perp platforms like Hyperliquid thrive on open, low-barrier access, which regulated exchanges like Binance cannot replicate without abandoning their global compliance posture. However, this very advantage makes Hyperliquid a clear target for regulatory scrutiny. The UK FCA has already issued a warning against Hyperliquid for potentially offering unauthorized services to UK users, framing it as a financial services provider rather than neutral infrastructure. Historical cases like the CFTC's action against bZeroX and Ooki DAO further illustrate that regulators may pursue decentralized structures if they facilitate leveraged trading for retail users without proper controls. Meanwhile, regulated venues like Cboe are developing US-compliant "continuous futures" that mimic perpetual exposure, narrowing the product gap. Hyperliquid's long-term edge may increasingly hinge on its access model—the very feature most exposed to regulatory pressure. The key question is whether its "access premium" can withstand escalating legal challenges as on-chain perps gain mainstream attention.

marsbit50m ago

Even CZ Praised Hyperliquid as 'Awesome', But Its Biggest Moat Might Also Be Its Biggest Risk

marsbit50m ago

Trading

Spot
Futures

Hot Articles

How to Buy SEI

Welcome to HTX.com! We've made purchasing Sei Network (SEI) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy Sei Network (SEI) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your Sei Network (SEI)After purchasing your Sei Network (SEI), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade Sei Network (SEI)Easily trade Sei Network (SEI) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

2.5k Total ViewsPublished 2024.03.29Updated 2026.06.02

How to Buy SEI

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 SEI (SEI) are presented below.

活动图片