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Ripple plans to introduce an institutional-level lending protocol on XRPL, allowing tokenized assets to be used as collateral for financing

XRPLRipple is actively promoting the addition of a layer of lending infrastructure on the XRP Ledger (XRPL), enabling institutions to use on-chain tokenized assets as collateral for financing, while the loan terms are automatically executed by the protocol, with credit assessments and lending decisions still made by off-chain institutions.According to reports, the proposal is named the XRPL Lending Protocol (corresponding to the XLS-65 and XLS-66 standards), which is currently still in the technical draft stage and must be approved through validator voting before it can go live on the mainnet, but it is already available for developer testing on the test network.The design of the protocol splits the lending process into two parts: on-chain mechanisms responsible for fund pool management, interest calculation, repayment execution, and default handling; while borrower credit assessments and loan term settings remain with traditional financial institutions to meet compliance requirements in different jurisdictions.Ripple states that this mechanism is primarily aimed at institutional short-term liquidity needs, such as in cross-border payment scenarios, where temporary financing is obtained through stablecoins or collateralized assets before settlement, to enhance capital efficiency.Analysts believe that this solution attempts to introduce a "rule-based lending infrastructure" similar to traditional finance while maintaining the open network attributes of XRPL, but it still faces competition from established on-chain lending protocols like Aave, Compound, and Maple.

CITIC Construction Investment: Although the logic of AI computing power remains optimistic, volatility has intensified; it is recommended to be cautious in chasing high prices

CITIC Construction Investment Research Report points out that the following factors will determine the trend of the third quarter market: In terms of fundamentals, AI computing power remains at a high level of prosperity, with mid-year performance and overseas financial reports worth paying attention to. At the same time, since April, under pressure from the macro economy, the economic measures from the Politburo meeting in July are quite important; In terms of liquidity, external disturbances have increased, while internal conditions remain neutral; In terms of risk appetite, geopolitical events and the listing of industry giants will cause short-term fluctuations in the market. Considering the global tech stock correlation effect, major overseas computing powers such as Japan, South Korea, and the United States also need to be continuously monitored.In terms of industry allocation, although the logic of AI computing power remains unchanged, volatility has intensified. It is recommended to be cautious about chasing highs and to position during pullbacks; lithium batteries are expected to welcome a peak season, and energy storage demand continues to warm up, while new energy presents opportunities for phased valuation recovery; dividends are expected to rebound from oversold conditions, with relatively high cost-performance ratios. Key areas to focus on: banks, coal, public utilities, AI, optical modules, storage, chips, industrial metals, lithium battery materials (VC), etc.
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