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Lending

Lending protocols form the backbone of the decentralized money market, allowing users to lend or borrow digital assets without intermediaries. Using smart contracts, platforms like Aave and Morpho automate interest rates based on supply and demand while requiring over-collateralization for security. The 2026 lending landscape features advanced permissionless vaults and institutional-grade credit lines. This tag covers the evolution of capital efficiency, liquidations, and the integration of diverse collateral types, including LSTs and tokenized RWAs.

14437 Articles
Created: 2026/02/02 18:52
Updated: 2026/02/02 18:52
Chainlink’s total value secured surpasses $100B

Chainlink’s total value secured surpasses $100B

The post Chainlink’s total value secured surpasses $100B appeared on BitcoinEthereumNews.com. As cryptocurrencies rallied on Sept. 12, with Bitcoin surging past $115,000 and altcoins following suit, Chainlink announced on X that its network’s total value secured (TVS) had surpassed $100 billion.This value is an all-time high, further proving the Oracle platform’s growth after surpassing TVS milestones for 2021-based stakes. TVS represents the aggregate value of assets secured by Chainlink’s decentralized infrastructure, so its growth represents a clear signpost for increased adoption and confidence among DeFi and traditional finance users. Chainlink’s TVS has more than doubled this year, from about $38 billion initially to $93 billion in mid-August before breaking through a $100 billion valuation. The growth represents the proliferation of DeFi protocols and enterprise use cases supported by Chainlink’s oracles offerings. Major partnerships fuel growth Recent developments have fueled this momentum, including Chainlink’s partnership with Intercontinental Exchange to integrate foreign exchange and precious metals data into its Data Streams and the U.S. Department of Commerce’s move to bring key economic data on-chain via Chainlink. According to DeFiLlama, lending protocol Aave accounts for the largest share of Chainlink TVS, securing more than $70.9 billion, around 70.75% of the total, across 17 chains. The top networks for Aave v3 include Ethereum, Arbitrum, and Base. Other notable contributors include Maple, Compound v3, SparkLend, and Solana-based Kamino. As TVS climbed, the network’s native token LINK also gained traction. On Sept. 12, LINK traded around $24.70, up nearly 5% on the day and 11% over the past week. Polymarket chooses Chainlink as oracle As earlier reported by Cryptopolitan, Polymarket has adopted a new approach to resolving certain markets on its platform, giving the oracle platform Chainlink power over some of its users’ price predictions. Placing more emphasis on the “accuracy and speed” of markets that depend on the performance of digital assets, Chainlink noted that it…

Author: BitcoinEthereumNews

2025/09/13

SUI Breakout, SHIB Surge & BlockDAG Scales with Almost $405M Presale

SUI Breakout, SHIB Surge & BlockDAG Scales with Almost $405M Presale

The post SUI Breakout, SHIB Surge & BlockDAG Scales with Almost $405M Presale appeared on BitcoinEthereumNews.com. Crypto News 13 September 2025 | 03:00 Discover why BlockDAG leads top crypto projects with almost $405M raised, 26.2B coins sold, & 19K rigs sold, as SUI price breakout stalls and Shiba Inu slows. The crypto market is seeing mixed results. The SUI price breakout, powered by a $344 million treasury expansion, brought attention as the coin climbed to $3.38. Institutions increased reserves, showing confidence, though their rise depends on continued accumulation. On the other side, Shiba Inu’s (SHIB) surge came from its link with Folks Finance. Priced at $0.00001243, SHIB gained new liquidity, but its progress still hinges on shifting meme appeal into real-world adoption. Meanwhile, BlockDAG (BDAG) is on a different path. With nearly $405 million raised, more than 26.2 billion coins sold, and 312,000 holders secured, its presence is clear. Add 19,800+ rigs sold and 3 million X1 users mining, and it’s clear BlockDAG is scaling at a level beyond speculation. SUI Group’s $344M Treasury Expansion Sparks Price Breakout SUI Group Holdings recently expanded its reserves by purchasing 20 million SUI in a private deal, lifting total holdings to 101.8 million coins worth about $344 million. The announcement fueled a 5% price rise, pushing SUI to $3.38. Institutional participation, especially from a Nasdaq-listed company, signals strong long-term belief in SUI’s decentralized finance potential. Technical indicators also align with momentum. SUI has been trading within a falling wedge, a pattern often preceding breakouts. On-chain activity is climbing, reinforcing optimism. With discounted access to coins and a staking rewards plan, SUI offers a solid setup for further growth. Market watchers view this as a key accumulation phase, though its reliance on sustained institutional demand remains a risk. Shiba Inu’s $0.00001243 Rise Brings 2025 Breakout Hopes Shiba Inu trades at $0.00001243 after a 1.1% daily gain, boosted by integration with…

Author: BitcoinEthereumNews

2025/09/13

BlockDAG Raises Almost $405M in Presale, Sells 19K Rigs as SUI Breakout Stalls and Shiba Inu Slows

BlockDAG Raises Almost $405M in Presale, Sells 19K Rigs as SUI Breakout Stalls and Shiba Inu Slows

The crypto market is seeing mixed results. The SUI price breakout, powered by a $344 million treasury expansion, brought attention […] The post BlockDAG Raises Almost $405M in Presale, Sells 19K Rigs as SUI Breakout Stalls and Shiba Inu Slows appeared first on Coindoo.

Author: Coindoo

2025/09/13

SmartLLM: The Future of Automated Smart Contract Audits

SmartLLM: The Future of Automated Smart Contract Audits

SmartLLM: The Future of Automated Smart Contract Audits Smart contracts now underpin the core functionality of dApps, DeFi, and blockchain-based projects in the swiftly transforming crypto space. These self-executing contracts, which automatically enforce rules and agreements, are transforming industries by eliminating intermediaries and ensuring transparency. However, the increasing complexity and adoption of smart contracts also bring inherent risks — vulnerabilities and bugs can result in financial losses, hacks, and compromised trust. This is where SmartLLM enters the scene, revolutionizing the way smart contracts are audited by leveraging artificial intelligence (AI) and large language models (LLMs). Smart Contracts and Their Vulnerabilities Smart contracts are programmable protocols that reside on blockchain networks, designed to execute predefined actions when specific conditions are met. While their benefits include transparency, automation, and trustless execution, their security remains a critical concern. Some common vulnerabilities include: Reentrancy Attacks: Where a malicious contract repeatedly calls another contract before previous executions are completed. Integer Overflow/Underflow: Errors arising from arithmetic operations exceeding their storage limits. Logic Flaws: Incorrect implementation of contract rules or conditions. Access Control Vulnerabilities: Improper permissions that allow unauthorized users to execute sensitive functions. Traditional methods of auditing smart contracts involve manual code reviews by expert security auditors. While effective, this process is time-consuming, costly, and often prone to human error. With the rise of sophisticated attacks, automated and intelligent auditing solutions are becoming essential. Introduction to SmartLLM SmartLLM is an AI-powered auditing framework that utilizes large language models to automatically analyze smart contract code for vulnerabilities, optimization opportunities, and potential risks. By combining natural language understanding with blockchain expertise, SmartLLM brings unprecedented efficiency, accuracy, and scalability to smart contract auditing. Unlike conventional auditing tools, SmartLLM is designed to understand the logic, intent, and context of smart contracts, making it capable of detecting subtle vulnerabilities that traditional static analysis tools might miss. Additionally, SmartLLM can generate actionable recommendations for developers to improve code quality and security. Key Features of SmartLLM in Smart Contract Auditing Automated Vulnerability DetectionSmartLLM can automatically scan smart contract code and identify common and advanced vulnerabilities. By analyzing the contract’s logic, function calls, and storage structures, it highlights potential security risks without requiring manual intervention. AI-Powered Code UnderstandingLeveraging large language models, SmartLLM comprehends the natural language comments, variable names, and function descriptions in smart contracts. This semantic understanding allows the AI to detect logical inconsistencies and security flaws beyond superficial code analysis. Comprehensive ReportingAfter auditing, SmartLLM generates detailed reports highlighting vulnerabilities, their potential impact, and suggested fixes. This accelerates the remediation process and ensures developers can address issues promptly. ScalabilityUnlike human auditors, SmartLLM can simultaneously audit multiple smart contracts, regardless of their complexity. This is particularly beneficial for blockchain projects with extensive ecosystems requiring continuous security monitoring. Continuous LearningSmartLLM leverages AI training to continuously improve its auditing capabilities. By learning from newly discovered vulnerabilities, exploits, and patches, it stays up-to-date with the latest security trends and attack vectors. Integration with Development PipelinesSmartLLM can be integrated into CI/CD pipelines, enabling real-time auditing during development. This proactive approach reduces deployment risks and ensures security is embedded from the early stages. Advantages of SmartLLM Over Traditional Auditing Faster AuditsManual auditing of smart contracts can take weeks, depending on complexity. SmartLLM significantly reduces this time to hours, accelerating the development cycle and enabling rapid deployment. Cost EfficiencyHiring professional auditors for each smart contract audit can be expensive. SmartLLM automates much of this process, providing a cost-effective alternative without compromising quality. Reduced Human ErrorEven experienced auditors can overlook vulnerabilities due to fatigue or complexity. SmartLLM’s AI-driven approach minimizes the risk of oversight and ensures comprehensive coverage. Proactive SecurityBy integrating SmartLLM into development pipelines, vulnerabilities can be detected before deployment, preventing potential exploits and reducing financial and reputational damage. Enhanced Developer CollaborationThe detailed reports generated by SmartLLM make it easier for developers and auditors to communicate. Clear recommendations help teams implement fixes efficiently and confidently. Real-World Applications of SmartLLM

  1. DeFi Platforms Decentralized finance applications rely heavily on smart contracts for lending, borrowing, trading, and staking. SmartLLM can audit these contracts to prevent common DeFi vulnerabilities such as reentrancy attacks and flash loan exploits, safeguarding user funds.
  2. NFT Marketplaces NFT platforms depend on smart contracts to mint, transfer, and sell digital assets. SmartLLM ensures these contracts are secure, reducing the risk of token theft, unauthorized transfers, or contract misbehavior.
  3. Token Launches Crypto projects launching new tokens must ensure smart contracts governing tokenomics and distribution are flawless. SmartLLM can verify compliance with standards like ERC-20 or ERC-721 and detect anomalies in supply, minting, and distribution logic.
  4. DAO GovernanceDecentralized Autonomous Organizations (DAOs) rely on smart contracts to manage voting and governance processes. SmartLLM helps audit these contracts to prevent manipulation, voting flaws, or governance attacks. Challenges and Considerations While SmartLLM represents a significant leap forward, it is not without challenges: Complexity of Smart Contracts Some contracts include highly complex logic or interdependent modules, which may still require human oversight in addition to AI auditing. Evolving Threat Landscape Cyber threats evolve rapidly, and new exploit techniques emerge frequently. Continuous training and updates are essential to keep SmartLLM effective. Integration Limitations Integrating SmartLLM into existing development pipelines may require technical expertise, particularly for legacy systems or unconventional contract structures. Regulatory Compliance While SmartLLM can enhance security, projects must also ensure compliance with local regulations and industry standards, which may not be fully automatable. The Future of Smart Contract Auditing with SmartLLM The adoption of AI-powered auditing tools like SmartLLM signals a paradigm shift in how blockchain projects ensure security. As AI models become more sophisticated, we can expect: Real-time auditing during development, enabling developers to fix vulnerabilities as they code. Cross-chain auditing capabilities, allowing SmartLLM to analyze contracts across multiple blockchain platforms. Predictive vulnerability detection, where AI anticipates potential exploits based on emerging attack patterns. Collaborative AI-human auditing, combining AI efficiency with human expertise for the most robust security. SmartLLM is not just a tool — it represents a new standard for secure blockchain development. By automating complex audits, reducing human error, and providing actionable insights, it empowers developers, auditors, and organizations to build trust in decentralized systems. Conclusion In an era where blockchain adoption is accelerating, the security of smart contracts is paramount. Traditional auditing methods, while valuable, struggle to keep up with the scale, speed, and complexity of modern decentralized applications. SmartLLM emerges as a game-changer, offering AI-powered, automated, and intelligent auditing for smart contracts. From DeFi protocols and NFT marketplaces to DAOs and token launches, SmartLLM ensures that blockchain projects are not only innovative but also secure and reliable. By embracing SmartLLM, crypto developers and organizations can mitigate risks, enhance trust, and confidently navigate the decentralized future.
SmartLLM: The Future of Automated Smart Contract Audits was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story

Author: Medium

2025/09/13

Top Trending Crypto This Week Includes Rollblock After Raising Millions In Record Time

Top Trending Crypto This Week Includes Rollblock After Raising Millions In Record Time

Rollblock dominates this week’s crypto trends with $11.7M raised, 84% presale sellout, 30% APY staking, and 50x upside potential, making it 2025’s top GambleFi play.

Author: Blockchainreporter

2025/09/13

BTC Treasury Smarter Web Company Looks to Buy Competition

BTC Treasury Smarter Web Company Looks to Buy Competition

The post BTC Treasury Smarter Web Company Looks to Buy Competition appeared on BitcoinEthereumNews.com. The Smarter Web Company, the United Kingdom’s largest corporate Bitcoin holder, is considering acquiring struggling competitors to expand its treasury, CEO Andrew Webley said. Webley told the Financial Times that he would “certainly consider” buying out competitors to acquire their Bitcoin (BTC) at a discount. According to BitcoinTreasuries.NET data, The Smarter Web Company is the world’s 25th biggest and the UK’s top corporate Bitcoin treasury. It currently holds 2,470 BTC worth nearly $275 million. The Smarter Web Company’s BTC holdings (orange) and BTC holdings USD value (green). Source: BitcoinTreasuries.NET The Smarter Web Company’s CEO also said the company aspires to enter the FTSE 100 — the UK’s top 100 listed companies index. He also noted that the firm changing its name is “inevitable” but said that he needs “to do it properly.” Alex Obchakevich, the founder of Obchakevich Research, told Cointelegraph that “buying the assets of bankrupt crypto companies often promises discounts, but the reality is actually much tougher than everyone thinks.” Related: Metaplanet, Smarter Web add almost $100M in Bitcoin to treasuries Obchakevich cited the bankruptcies of crypto exchange FTX and crypto lender Celsius. He explained that while initially discounts reached 60% to 70%, “after deducting liabilities liquidated in bankruptcy, encumbrances removed by the court and taxes, the net discount drops to 20–50%.” “This attracts investors with expertise because the assets are undervalued due to their urgency.“ Webley’s comments came after Smarter Web’s stock fell nearly 22% on Friday, dropping from $2.01 at the open to $1.85 at the time of writing. The decline came despite BTC gaining more than 1% over the past 24 hours. The Smarter Web Company share price chart. Source: Google Finance Over the last month, Bitcoin also lost over 4% of its value, while The Smarter Web Company’s price fell by around 35.5%. Smarter…

Author: BitcoinEthereumNews

2025/09/13

AI Narratives Lift Tokens While Oracle Surges Past Nvidia Value

AI Narratives Lift Tokens While Oracle Surges Past Nvidia Value

The post AI Narratives Lift Tokens While Oracle Surges Past Nvidia Value appeared on BitcoinEthereumNews.com. AI-focused crypto sectors like DeFAI and DeSci led weekly market gains with strong momentum. Oracle’s $200B market surge boosted its valuation near $1T, surpassing Nvidia in investor sentiment. NFTs and lending protocols faced steep declines, contrasting with growth in utility-driven crypto sectors. AI-driven crypto categories posted the strongest gains this week, led by DeFi AI (DeFAI) with a 4.5% rise. Decentralized Science (DeSci) added 4.3%, while AI Agent projects advanced 4.0%. Privacy tokens climbed 3.2%, and centralized exchanges gained 3.0%. Broader Market Breakdown Layer 1 and Layer 2 networks rose 2.8% and 2.6% respectively. Core DeFi gained 2.2%, DePIN climbed 1.8%, and real-world assets (RWA) advanced 1.2%. Memecoins added 0.5%, while decentralized exchanges were nearly flat at 0.2%. The AI sector has been underperforming for most of the year, but now narrative is heating up. Some top #AI projects looking to launch at the end of Q3 fueling this sector. I will be sharing my research on some of them in my discord: https://t.co/HFc6FwWdFv pic.twitter.com/CkEWwXGKDZ — Rand (@crypto_rand) September 11, 2025 Lending Protocols and NFTs Lag Behind Speculative sectors saw sharp pullbacks. Lending protocols dropped 2.3%, non-fungible tokens (NFTs) slipped 1.5%, and oracle-based tokens fell 0.9%. Gaming tokens edged down 0.1%, showing limited activity. Capital Flows Rotate to Utility Tokens The divergence pushed inflows toward innovation-focused areas like DeFAI and DeSci, while speculative categories such as NFTs and lending faced pressure. Related: Memecoins and AI Tokens Control 62.8% of 2025 Crypto Market Attention — Here’s Why Oracle Market Value Surges by $200 Billion Oracle added $200 billion in market value in a single session, lifting its capitalization close to $1 trillion. The rally pushed founder Larry Ellison’s net worth up by more than $107 billion, making him the world’s wealthiest individual ahead of Elon Musk. AI Infrastructure Partnerships Drive Rally…

Author: BitcoinEthereumNews

2025/09/13

Inside AI Crypto Trading: Coinbase AgentKit, Lit’s Hustle, Vincent, and x402 Onchain Rails

Inside AI Crypto Trading: Coinbase AgentKit, Lit’s Hustle, Vincent, and x402 Onchain Rails

Artificial intelligence (AI) agents are reshaping crypto trading, decentralized finance (DeFi), and more. AI agents are no longer just a concept, but rather a common feature being leveraged for a variety of crypto-focused use cases. AI agents also differ from traditional rule-based bots. Rather than following simple prompts, agents are able to continuously learn from market movements, sentiment and liquidity conditions to execute trades with greater precision. This is why AI agents are being leveraged more often in the crypto sphere. David Sneider, CEO and co-founder of Lit Protocol, told Cryptonews that any strategy a person or organization executes manually in DeFi today can be automated through AI agents. Sneider added that beyond saving time, these models provide entirely new access. “One person can craft a strategy, while others simply enroll to benefit, removing the barrier of technical sophistication that previously limited who could participate in advanced crypto strategies,” he said. AI Agents for Trading and Yield Optimization To put this in perspective, Sneider explained how retail investors use AI agents through Lit Protocol and Vincent, an automation platform layer on Lit that powers a wide variety of crypto trading agents. “Within autonomous crypto agents, we see two broad categories: ‘user-configured’ agents and ‘set-and-forget’ agents,” Sneider mentioned. According to Sneider, user-configured agents allow crypto investors to have direct strategy input. A leading example of this is Lit’s “Agent Hustle,” where users interact through a chat interface and provide prompts like the one below:“Execute a mixed trading strategy: allocate 80% to conservative blue-chip and stablecoin yield positions, 10% to aggressive perp trading with dynamic leverage and a max 2% drawdown per trade, and 10% to trending meme tokens using sentiment and social signals. Rebalance automatically, manage risk tightly, and maximize overall portfolio performance.”“The agent drafts, refines with user feedback, and then executes the strategy,” Sneider said. Users can also leverage set-and-forget agents to run established strategies that are optimized over time. Sneider pointed out examples of these being deployed through Vincent: Perpetual futures hedging: Monitoring exposures and rebalancing leverage automatically. Yield optimization: Shifting stablecoins between lending markets and vaults to secure the best rates. Trader Agents: Executing momentum, mean reversion, options spreads, or cross-chain arbitrage strategies under a defined mandate. AI Agents for Token Discovery AI agents are also helping crypto users with token discovery. Jake Gallen, CEO at agenthustle.ai (Hustle), told Cryptonews that the platform helps users discover tokens intelligently and trade autonomously. “Hustle’s Memory, Toolbox, and Conditional trading engine are the three pillars that separate this agent from competition, making him one of the most unique products on the market,” Gallen said. “We combine these apps, leverage it with the Emblem Vault multichain wallet, and allow the Agent to interact with any blockchain.” Gallen pointed out that Hustle’s primary use cases include token discovery and automated trading. “Within a single prompt, Hustle can find a token based on the context a user presents, then buy these assets, and set up an advanced entry and exit order. From start to finish, this can be accomplished in 30 seconds,” Gallen commented. Hustle also helps with users seeking pocket analysis. “Users can combine Hustle’s memory and toolbox to utilize just his alpha aggregation, news reporting, and contextual outputs. They do not trade and use him simply as a pocket analyst,” Gallen said. AI Agents Within Crypto Exchanges While AI agents can help crypto investors trade intelligently, popular U.S.-based crypto exchange Coinbase has also started to explore these models.
Dan Kim, head of strategy at Coinbase Developer Platform, told Cryptonews that Coinbase is currently focused on building infrastructure to allow AI agents to operate safely and autonomously. “This includes giving agents wallets, the ability to transact on-chain, and tools to charge or pay for services programmatically,” Kim said. He added that the infrastructure behind these models, like x402 and AgentKit, allows AI agents to interact with DeFi, pay for services, and perform economic activities safely across Coinbase. “This is essentially preparing the groundwork for future AI-native payments,” Kim noted. AI Agents Can Make Mistakes Although the potential behind AI agents and crypto use cases is huge, these models are far from perfect. While AI agents can ensure efficiency, accessibility, and risk discipline, Sneider explained, there are downfalls to consider: Data fragility: This is where poor inputs or unreliable oracles can cascade into bad trades. Overfitting: Agents trained on narrow historical data underperform in black swan events. Execution errors: We’ve seen cases where AI models hallucinate or misinterpret instructions. For instance, Sentient recently shared an example of an AI agent getting “stuck” in a transaction loop, firing the same order over and over. Without circuit breakers, this kind of loop can spiral quickly. Latency: Agents that depend on off-chain inference sometimes miss optimal execution windows. Gallen added that the most common mistake AI agents make when it comes to trading is purchasing “fake tokens.” “When a token is pumping, there are multiple copycat tokens that pop up. Even more so, these copycat tokens are artificially inflated to appear as the organic runner. AI can be tricked to buy these because they consider the on-chain volume as real,” Gallen explained. Although there are multiple safety mechanisms set in place, as well as checks and balances, Gallen noted that these occurrences happen every so often. Additionally, Gallen mentioned that API and tooling inconsistencies can be challenging. “This can happen when someone uses one API for conditional trading to execute trades, while using another API to source real-time data. One API can consider Market Cap and FDV as the same thing, while the other provider is much more meticulous in their classifications. This can cause AI to close trades early or result in another variety of outputs that can cause these models to fail at what they were intended to accomplish.” AI Agents Won’t Replace Human Traders Yet Although the potential behind AI crypto trading agents is massive, these models are not yet ready to replace humans entirely. According to Sneider, the beginning of “agentic finance” is just now taking place. However, he said that today’s early products show both promise and pitfalls. “AI can act as a co-pilot, but it must operate inside secure rails,” he said. As such, Sneider believes that AI agents won’t replace human traders, but rather they’ll extend them. “They’ll automate execution across both DeFi and TradFi, but always anchored in user-defined authority,” Sneider said

Author: CryptoNews

2025/09/13

Bitcoin (BTC) Price Forecast: $180,000 Still in Sight, While This Token Leads List of Best Cryptos to Invest in for Under $1

Bitcoin (BTC) Price Forecast: $180,000 Still in Sight, While This Token Leads List of Best Cryptos to Invest in for Under $1

As Bitcoin (BTC) approaches its potential breakout with forecasts targeting $180,000, investor focus is shifting away from the dominant cryptocurrency towards emerging players driving the next wave of adoption. Among these, Mutuum Finance (MUTM) is in the limelight because of its innovative approach of decentralized lending. Price per MUTM remains at $0.035. Investors are going […]

Author: Cryptopolitan

2025/09/13

Ethena’s USDe and sUSDe Go Live on Avalanche in Major Cross-Chain Push

Ethena’s USDe and sUSDe Go Live on Avalanche in Major Cross-Chain Push

The post Ethena’s USDe and sUSDe Go Live on Avalanche in Major Cross-Chain Push appeared on BitcoinEthereumNews.com. The $13 billion synthetic dollar expands to Avalanche with DeFi integrations and AVAX rewards. Ethena Labs has launched its synthetic dollar USDe and staked USDe (sUSDe) on Layer 1 blockchain Avalanche, marking a major cross-chain expansion for the project. USDe currently has a market capitalization of over $13 billion, up 128% from $5.7 billion in June, making it the third-largest circulating stablecoin, according to DeFiLlama data. Meanwhile, Ethena’s native ENA token is up 17% in the past week to a $11.6 billion valuation. Today’s rollout includes integrations with Uniswap, Pharaoh Exchange, LFJ, and BlackholeDEX for spot liquidity, while protocols like Euler, Silo, Folks Finance, and Term Labs will soon support USDe, sUSDe, and associated Pendle tokens as collateral. Ethena added that it is exploring potential collateral integrations with Benqi and Aave. “Ethena assets will be usable within major lending & trading DeFi apps on Avalanche, starting from today,” Ethena wrote in an X post earlier today, adding that eligible decentralized finance (DeFi) interactions on Avalanche will qualify users for both AVAX rewards and Ethena Points. AVAX is Avalanche’s native token that is currently trading at $28.60, up 52% over the past three months, per CoinGecko. Ethena also revealed that Pendle Finance is bringing its first instance of cross-chain Principal Tokens (PTs) to Avalanche. “Starting from today, November USDe PT will be bridgeable to Avalanche via the Pendle site, in collaboration with @LayerZero_Core,” the post reads. “Cross-chain PT deposits will be accepted on money markets like Euler and Silo as collateral to borrow other stables.” The expansion comes as Avalanche’s total value locked (TVL) has nearly doubled over the past two quarters, rising from $1.1 billion in April to around $2.1 billion today, according to DeFiLlama. Analysts say institutional inflows, gaming adoption, and network upgrades have fueled the rebound. Nic Puckrin,…

Author: BitcoinEthereumNews

2025/09/13

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