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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.

14449 Articles
Created: 2026/02/02 18:52
Updated: 2026/02/02 18:52
Top 3 Cryptos Under $1 That Could Hit $10 By 2028

Top 3 Cryptos Under $1 That Could Hit $10 By 2028

The post Top 3 Cryptos Under $1 That Could Hit $10 By 2028 appeared on BitcoinEthereumNews.com. Investors are increasingly looking for tokens with long-term value in 2025. While Cardano (ADA) keeps showing strong performance in the market, and Dogecoin (DOGE) keeps holding onto community-led speculation, a new token, Mutuum Finance (MUTM), is building something much larger.  Unlike speculative memecoins, Mutuum Finance is building real utility in the shape of its decentralized lending and borrowing protocol as it positions itself to be a fundamentals-driven project that will go way, way beyond the $1 threshold. As the market anticipates the next cycle, the following three coins, Cardano (ADA), Dogecoin (DOGE), and Mutuum Finance (MUTM), are gaining traction for their potential surge to $10 by 2028 but MUTM’s unique value proposition shines extremely brightly. Cardano Holds Firm Amid Market Turbulence Cardano (ADA) is trading at $0.86 currently, level with the rest of the market as investors weigh in upcoming network upgrades against shifting macroeconomic trends. Cardano (ADA) retains its place as one of the flagship layer-1 projects focused on scalability and sustainability, but market participants are increasingly turning towards newer protocols with stronger growth drivers, and Mutuum Finance stands as a better choice in the DeFi market as it evolves. Dogecoin Halts After Rally as Market Considers Next Step Dogecoin (DOGE) is at $0.27, still considerably above its recent level of support after a very active rally. There is resistance at $0.30, and support at the $0.22-$0.25 level, which means probable consolidation unless new buying pressure is seen. Volume has reduced somewhat, suggesting some profit-taking by traders as they await better signals. In comparison to DOGE, analysts are now equating Mutuum Finance as having greater potential for gains. Mutuum Finance: Phase 6 Mark Presale Mutuum Finance has enjoyed a phenomenal level of traction in presale with more than 16,370 investors buying coins and more than $15.9 million raised thus…

Author: BitcoinEthereumNews

2025/09/18

Ondo Finance’s yield-bearing USDY stablecoin goes live on Stellar

Ondo Finance’s yield-bearing USDY stablecoin goes live on Stellar

The post Ondo Finance’s yield-bearing USDY stablecoin goes live on Stellar appeared on BitcoinEthereumNews.com. Ondo Finance has launched USDY, a yield-bearing stablecoin backed by U.S. Treasuries and bank deposits, on the Stellar network, marking the first product of its kind available to Stellar users. Summary Backed by short-term U.S. Treasuries and bank demand deposits, USDY accrues daily yield while maintaining liquidity, allowing individuals, small businesses, and institutions to earn on their holdings. The stablecoin can also be used as collateral in Stellar’s DeFi ecosystem and for more efficient cross-border payments. Ondo Finance has launched its flagship stablecoin, United States Dollar Yield (USDY), on the Stellar (XLM) network. With USDY stablecoin now live on Stellar, individuals and small businesses can save in USDY to preserve value while earning yield, without losing liquidity for everyday spending. Institutions can use USDY for treasury management, gaining a safe, interest-bearing asset with 24/7 access. USDY can also be deployed as collateral for borrowing and lending in Stellar’s DeFi ecosystem. And in cross-border payments, balances that would normally sit idle while awaiting transfer can now earn yield until settlement. “The global reach of the Stellar ecosystem combined with a yield-bearing asset like USDY levels up what is possible onchain,” said Denelle Dixon, CEO of the Stellar Development Foundation. USDY is already integrated into Stellar-based apps including LOBSTR, Aquarius, Meru, Soroswap, and Decaf Wallet, making it immediately available for the aforementioned use cases. Stellar’s stablecoins get a yield upgrade with USDY According to Ondo Finance, this marks the first time such a product—a stablecoin that automatically accrues yield from U.S. Treasuries and bank deposits—is available on the Stellar network. While Stellar hosts a number of fiat-backed stablecoins like USD Coin (USDC) and EURC (EURC), those tokens maintain a fixed value but do not generate yield. Other tokenized assets on Stellar, such as Etherfuse’s Stablebonds, provide returns tied to treasuries, but they…

Author: BitcoinEthereumNews

2025/09/18

ETH Exit Queue Gridlocks As Validators Pile Up

ETH Exit Queue Gridlocks As Validators Pile Up

The post ETH Exit Queue Gridlocks As Validators Pile Up appeared on BitcoinEthereumNews.com. Welcome to The Protocol, CoinDesk’s weekly wrap of the most important stories in cryptocurrency tech development. I’m Margaux Nijkerk, a reporter at CoinDesk. In this issue: Ethereum Faces Validator Bottleneck With 2.5M ETH Awaiting Exit Is Ethereum’s DeFi Future on L2s? Liquidity, Innovation Say Perhaps Yes Ethereum Foundation Starts New AI Team to Support Agentic Payments American Express Introduces Blockchain-Based ‘Travel Stamps’ Network News ETHEREUM VALIDATOR EXIT QUEUE FACES BOTTLENECK: Ethereum’s proof-of-stake system is facing its largest test yet. As of mid-September, roughly 2.5 million ETH — valued at roughly $11.25 billion — is waiting to leave the validator set, according to validator queue dashboards. The backlog pushed exit wait times to more than 46 days on Sept. 14, the longest in Ethereum’s short staking history, dashboards show. The last peak, in August, put the exit queue at 18 days. The initial spark came on Sept. 9, when Kiln, a large infrastructure provider, chose to exit all of its validators as a safety precaution. The move, triggered by recent security incidents including the NPM supply-chain attack and the SwissBorg breach, pushed around 1.6 million ETH into the queue at once. Though unrelated to Ethereum’s staking protocol itself, the hacks rattled confidence enough for Kiln to hit pause, highlighting how events in the broader crypto ecosystem can cascade into Ethereum’s validator dynamics. In a blog post from staking provider Figment, Senior Analyst Benjamin Thalman noted that the current exit queue build up isn’t only about security. After ETH has rallied more than 160% since April, some stakers are simply taking profits. Others, especially institutional players, are shifting their portfolios’ exposure. At the same time, the number of validators entering the Ethereum staking ecosystem has been steadily rising. Ethereum’s churn limit, which is a protocol safeguard that caps how many validators can…

Author: BitcoinEthereumNews

2025/09/18

Best Bitcoin Casinos: 2025’s Top 7 Crypto Casino Platforms

Best Bitcoin Casinos: 2025’s Top 7 Crypto Casino Platforms

Crypto casinos are taking center stage in 2025 as they offer lightning-fast payouts, generous promos, and sleek platforms that actually work. Players expect more than flashy ads; they want quick payouts, fair bonuses, and platforms that actually run smoothly. Ignition stands out with steady poker traffic, a potent mix of RNG games, and simple BTC […] The post Best Bitcoin Casinos: 2025’s Top 7 Crypto Casino Platforms appeared first on Live Bitcoin News.

Author: LiveBitcoinNews

2025/09/18

Myriad Users Bet Big on Rekt’s Next Drink Drop With MoonPay

Myriad Users Bet Big on Rekt’s Next Drink Drop With MoonPay

The post Myriad Users Bet Big on Rekt’s Next Drink Drop With MoonPay appeared on BitcoinEthereumNews.com. In brief Myriad Markets lets traders bet on how fast Rekt’s next sparkling water drop will sell out. The Rekt brand now spans a meme coin, NFTs, drinks, merch, and live events. Holders get perks like early access to flavors, blending crypto culture with IRL hype. Will the next batch of Rekt Drinks—a “Moon Crush” flavor created with crypto payments firm MoonPay—sell out in under five minutes? Users on Myriad, a prediction market developed by Decrypt‘s parent company Dastan, are currently weighing that question, with money shifting the consensus up and down as predictors take in market sentiment and other cues. If you believe the crowd on Myriad, the odds at the time of this writing say “no,” though the margin was so slim that earlier in the day, bettors said “yes.” Either way, traders are staking real money on the beverage brand’s next drop. It’s a fitting way to measure the hype around REKT, a project that started as crypto culture’s inside joke and has become something much bigger: a meme token, an NFT collection, a sparkling water brand, and a Web3-native lifestyle experiment all rolled into one. Rekt, the drink If you’ve seen cans of Rekt in your feed, then you know they lean into the joke. Each can is a pastel-colored piece of meme art, emblazoned with “REKT”—crypto slang for being totally wrecked by a bad trade. The drink itself is a zero-alcohol, zero-caffeine sparkling water, launched with the tagline “born on the blockchain, brewed for real life.” The first public drop sold more than 222,000 cans in under 48 hours across 32 countries. New flavors—like Moon Crush and Based Lime—are rolled out as limited editions, and holders of Rekt NFTs or tokens often get early access. REKT, the token The REKT token lives on Ethereum, with a meme-friendly 420.69…

Author: BitcoinEthereumNews

2025/09/18

Could Lyno Become the Next Ethereum Killer? Inside Its AI-Powered Blockchain Strategy

Could Lyno Become the Next Ethereum Killer? Inside Its AI-Powered Blockchain Strategy

For years, people in crypto have been asking the same question: what’s the next Ethereum killer? Some projects have claimed the title, but few have come close to challenging Ethereum’s dominance. Lyno (LYNO), a fresh entrant, is beginning to catch attention in the crypto space. It is choosing its own lane with an AI-driven blockchain […] The post Could Lyno Become the Next Ethereum Killer? Inside Its AI-Powered Blockchain Strategy appeared first on Live Bitcoin News.

Author: LiveBitcoinNews

2025/09/18

Step-by-Step Process to Integrate AI into DeFi Aggregators

Step-by-Step Process to Integrate AI into DeFi Aggregators

Step-by-Step Process to Integrate AI into DeFi Aggregators Decentralized Finance (DeFi) has revolutionized the financial landscape by eliminating intermediaries and allowing users to trade, lend, and invest directly on blockchain networks. However, with hundreds of DeFi protocols across multiple chains, users often face challenges in finding the best rates, liquidity pools, and yield farming opportunities. At this point, DeFi aggregators become essential. Now, with the rise of Artificial Intelligence (AI), DeFi aggregators can go beyond just providing access to multiple liquidity sources — they can deliver intelligent, predictive, and personalized financial services. By integrating AI, developers can build smarter platforms that analyze market conditions in real time, optimize transactions, and enhance user decision-making. In this guide, we’ll walk you through the step-by-step process to integrate AI into DeFi aggregators, explain its benefits, explore real-world use cases, and outline the challenges and future possibilities. What is a DeFi Aggregator? A DeFi aggregator is a platform that collects liquidity and pricing data from multiple decentralized exchanges (DEXs) and protocols, allowing users to access the best available trading opportunities in one place. Key functions of DeFi aggregators include: Liquidity pooling — pulling liquidity from multiple DEXs. Price comparison — offering users the best swap rates. Gas optimization — minimizing transaction costs. Cross-chain functionality — enabling trades across different blockchain networks. Popular DeFi aggregators include 1inch, Matcha, Paraswap, and Zerion. Why Integrate AI into DeFi Aggregators? AI enhances DeFi aggregators by making them smarter, more efficient, and user-centric. Here are the key benefits: Real-Time Data Analysis — AI algorithms can process vast amounts of blockchain data to identify the best opportunities instantly. Risk Assessment — AI models can predict risks in liquidity pools or lending protocols, helping users avoid bad trades. User Personalization — AI can recommend investment strategies tailored to each user’s risk profile. Fraud Detection — Detects suspicious trading patterns and prevents malicious activities. Predictive Analytics — Forecasts token price movements and liquidity shifts. By integrating AI, DeFi aggregators move from being simple comparison tools to intelligent financial assistants. Step-by-Step Process to Integrate AI into DeFi Aggregators Step 1: Define the Use Cases of AI Before jumping into development, determine where AI will add value in your DeFi aggregator. Some examples include: ✦Best route optimization for token swaps. ✦Yield farming recommendations. ✦Predictive market insights. ✦Automated portfolio rebalancing. ✦Fraud and anomaly detection. This step ensures that your AI integration aligns with your aggregator’s goals. Step 2: Data Collection and Preparation AI relies on large datasets for training. In DeFi, the relevant data sources include: ✦On-chain data (transaction history, liquidity pool activity, smart contracts). ✦Off-chain data (market sentiment from news, social media, and oracles). ✦User behavior data (transaction patterns, portfolio choices). Developers must create pipelines to collect, clean, and normalize data to ensure accuracy and reliability. Step 3: Select the Right AI Models Depending on the use cases, different AI models may be required: Machine Learning (ML): For predicting token prices, optimizing swaps, and yield farming strategies. Natural Language Processing (NLP): For analyzing sentiment from crypto-related news and social media. Reinforcement Learning: For autonomous trading and portfolio optimization. Anomaly Detection Models: For fraud and hack detection. For instance, a DeFi aggregator that wants to optimize swap routes may use reinforcement learning to learn the best trading paths across multiple DEXs. Step 4: Develop AI Training Infrastructure Training AI models requires a robust infrastructure: ✦Blockchain nodes to pull real-time on-chain data. ✦Data storage systems (IPFS, decentralized databases, or cloud-based storage). ✦GPU/TPU clusters for training machine learning models. ✦Data preprocessing pipelines to handle large blockchain datasets. Developers can also leverage AI-as-a-Service platforms or pre-trained models to speed up integration. Step 5: Smart Contract Integration DeFi aggregators rely on smart contracts for executing trades. To integrate AI: Off-chain AI Processing: AI models run off-chain, and their decisions are communicated to smart contracts. On-chain Oracles: Oracles like Chainlink can be used to bring AI-generated insights into the blockchain. Hybrid Approach: A mix of on-chain smart contracts and off-chain AI decision-making for scalability. For example, an AI model could analyze liquidity and then feed swap route decisions into a smart contract router. Step 6: AI-Powered Decision Engine Create an AI-powered decision engine within the aggregator: ✦It continuously monitors liquidity pools, gas fees, and market prices. ✦It identifies the most cost-effective swap route. ✦It generates personalized investment suggestions. This engine acts as the core brain of the DeFi aggregator, turning raw blockchain data into actionable insights. Step 7: User Interface Integration The AI insights should be visible and usable for end users. Key UI features include: Personalized dashboards — showing AI-driven portfolio recommendations.Trade suggestions — highlighting the best swap options.Risk scores — helping users assess protocol risks.Predictive analytics charts — forecasting price trends. A well-designed UI ensures that AI insights are transparent, explainable, and user-friendly. Step 8: Security and Testing AI integration in DeFi requires strict security and auditing: ✦Conduct smart contract audits to prevent vulnerabilities. ✦Test AI models against adversarial attacks. ✦Ensure compliance with data privacy regulations. ✦Run simulations to validate AI predictions against historical data. Security ensures that users trust your AI-powered DeFi aggregator. Step 9: Deployment and Continuous Learning Deploy the AI-enhanced DeFi aggregator and ensure continuous improvement: ✦Use feedback loops where AI learns from real user interactions. ✦Continuously retrain models with new blockchain data.Monitor ✦performance and optimize algorithms. ✦AI should evolve with market trends, ensuring long-term reliability. Real-World Use Cases of AI in DeFi Aggregators 1inch + AI Optimization — AI models could predict gas fee fluctuations and reroute transactions. Portfolio Rebalancing — AI automatically adjusts user holdings for maximum returns. Sentiment-Based Trading — AI analyzes Twitter & Reddit data to guide trading strategies. These examples highlight how AI transforms DeFi aggregators from static tools into dynamic financial advisors. Challenges in Integrating AI into DeFi Aggregators While the benefits are huge, integration comes with challenges: Data quality issues — Blockchain data is vast but unstructured. Scalability concerns — AI computations can be resource-intensive. Security risks — AI-driven decisions must be verifiable and auditable. Regulatory uncertainty — Compliance requirements for AI in DeFi are still evolving. Developers must design systems that balance innovation with trust, scalability, and compliance. The Future of AI-Powered DeFi Aggregators Looking ahead, AI will make DeFi aggregators: More autonomous — with AI executing trades without user input. Cross-chain intelligent — managing assets across multiple blockchains seamlessly. Hyper-personalized — offering financial services tailored to individual goals. Safer — detecting fraud and market manipulation in real time. As AI matures, we may see DeFi aggregators becoming AI-driven super apps for decentralized finance. Conclusion Integrating AI into DeFi aggregators is a game-changing innovation that transforms them from simple liquidity routers into intelligent, predictive, and user-focused financial platforms. The step-by-step process involves: ✦Defining use cases. ✦Collecting and preparing data. ✦Choosing AI models. ✦Building AI infrastructure. ✦Integrating smart contracts. ✦Creating an AI-powered decision engine. ✦Designing a user-friendly interface. ✦Ensuring security and testing. ✦Deploying and enabling continuous learning. By following these steps, developers can unlock the full potential of AI in DeFi, delivering smarter trading, safer investments, and better user experiences. The future of decentralized finance lies in the synergy of AI + DeFi aggregators — a combination that will redefine how users interact with financial ecosystems. Step-by-Step Process to Integrate AI into DeFi Aggregators was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story

Author: Medium

2025/09/18

Ripple’s $RLUSD Integrates with DBS and Franklin Templeton to Expand Onchain Markets

Ripple’s $RLUSD Integrates with DBS and Franklin Templeton to Expand Onchain Markets

Ripple, DBS, and Franklin Templeton launch trading and lending solutions powered by RLUSD and tokenized money market funds. The partnership enables sgBENJI trading on DBS Digital Exchange and explores collateralized lending options. According to a Press Release, Ripple has unveiled a major partnership with DBS Bank and Franklin Templeton. The three firms will launch trading [...]]]>

Author: Crypto News Flash

2025/09/18

South Korea’s $657 Million Exit from Tesla Signals a Big Crypto Pivot

South Korea’s $657 Million Exit from Tesla Signals a Big Crypto Pivot

In a dramatic shift in investment patterns, South Korean retail investors withdrew $657 million from Tesla stock in August 2025, representing the largest monthly outflow in more than two years. At the same time, by mid-2025, they had shifted more than $12 billion into U.S.-listed companies tied to cryptocurrency, indicating a deepening preference for digital […]

Author: Tronweekly

2025/09/18

DBS Bank partners with Franklin Templeton, Ripple on tokenized finance services

DBS Bank partners with Franklin Templeton, Ripple on tokenized finance services

DBS Bank teams up with Franklin Templeton and Ripple to list tokenized money market fund and stablecoin on DBS Digital Exchange. DBS Bank is deepening its push into digital assets through a new partnership with Franklin Templeton and Ripple that…

Author: Crypto.news

2025/09/18

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