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XRP $1.18 +4.45%
SOL $67.48 +4.56%
TRX $0.3268 +0.31%
DOGE $0.0867 +3.40%
ADA $0.1716 +6.98%
BCH $212.69 -4.31%
LINK $8.05 +4.83%
HYPE $63.81 +9.43%
AAVE $64.33 +3.35%
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engine

LI.FI launches a full-stack execution engine LI.FI Intents based on an open intent framework

The cross-chain liquidity aggregation protocol LI.FI announced the launch of LI.FI Intents, a modular full-stack execution engine that competes for order execution through a network of specialized solvers, built on the reference contract of the Open Intents Framework.The Open Intents Framework is a public goods initiative led by the Ethereum Foundation, with contributions from over 30 teams including LI.FI, OpenZeppelin, Wonderland, Uniswap Labs, Hyperlane, and others. LI.FI Intents is a large-scale implementation of OIF in a production environment, providing stablecoin payments, access to real-world assets, and compliant on-chain liquidity for enterprises.LI.FI stated that historically, the intent stack has been too rigid, forcing all applications to adopt a single execution model. Teams had to build from scratch to solve multiple issues such as order expression, solver networks, cross-chain settlement, and fill validation. OIF empowers teams with the freedom to choose and customize through modular components, reducing the time to build intent applications from months to days.The Ethereum Foundation commented, "The Open Intents Framework is designed as a shared infrastructure for intents, a modular and open framework for the ecosystem to collaboratively build intent applications. This framework takes the next step: achieving large-scale adoption."

Delphi Digital analyzes the marginal changes in the Bitcoin financing model strategy, with STRC becoming a key expansion engine but risks rising simultaneously

The cryptocurrency research institution Delphi Digital released the latest report "How Far Can Saylor Stretch It," which systematically analyzes the Bitcoin (BTC) funding expansion mechanism of Strategy, pointing out that its financing structure is transitioning from "low-cost accumulation" to the "diminishing marginal efficiency" stage. The report shows that in the current asset accumulation system centered around Bitcoin, STRC has become the core financing tool for Strategy's continuous purchase of BTC. Initially, it relied on a significant premium in MSTR's stock price (mNAV far exceeding BTC's net value) to achieve a positive cycle of "issuance leads to accumulation," but as the valuation has fallen back to about 1.24 times the EV-based mNAV, the BTC per share enhancement effect from common stock issuance is nearing breakeven.At the same time, while convertible bond tools have played an important role historically, they have accumulated about $8.2 billion in principal and will face concentrated repayment pressure after September 2027, putting long-term sustainability of the financing structure under pressure. STRC provides a continuous financing source for Strategy by offering approximately 11.5% annualized monthly dividends to income-oriented investors, to maintain the pace of BTC purchases. However, this mechanism also introduces ongoing cash flow obligations, meaning that each round of financing increases BTC assets while simultaneously accumulating future dividend burdens.The report emphasizes key risk scenarios: if BTC prices remain stagnant and MSTR's premium fails to recover, then the "STRC financing purchase gain" may be gradually offset by "common stock dilution and dividend obligations." Although the company's approximately $2.25 billion cash reserves can cover about $1 billion in redemption pressure in 2027, larger-scale debt and dividend structures in 2028 still need to be addressed. Additionally, the current authorized issuance limit of about $28.3 billion for STRC becomes a critical constraint point. Once the limit is reached, the ability to purchase new BTC may slow down, but existing dividend obligations will continue to exist, thus altering the overall BTC per share dynamic growth path.

Coinbase upgrades its anti-fraud system, integrating machine learning with a rules engine, reducing response time to a few hours

Coinbase stated that it is optimizing the rule creation process in its anti-fraud system by integrating machine learning models with a rules engine, achieving more efficient risk management. It also proposed a dual-track strategy of "models responsible for long-term defense, rules responsible for rapid response," and built a unified framework to create a feedback loop between the two: rules are used to capture new types of fraud and train the model in reverse, thereby continuously enhancing overall defense capabilities.In terms of specific optimizations, Coinbase has transformed the previously manual rule creation process into a data-driven and automated recommendation system by restructuring data, automating schema evolution, and introducing notebook-based analytical tools, significantly improving efficiency. Among these improvements, the performance of rule backtesting has increased by more than 10 times, and the overall response time has been reduced from several days to a few hours. Additionally, the new system uses machine learning to recommend parameters, helping to reduce false positive rates while combating fraud and minimizing the impact on normal users. Coinbase indicated that the next step will be to advance event-driven automatic rule generation and explore the "one-click conversion" of efficient rules into model features, further moving towards an automated risk management system.

ChainCatcher "From Cryptocurrency to Smart Economy" Roundtable: Crypto is shifting from speculation to practical value, with compliant RWA and AI payments becoming the core engine of the new cycle

At the "Crypto 2026: From Cryptocurrency to Smart Economy" themed forum held in Hong Kong, guests including Sign partner Sarah, HashKey Chain Senior Business Development YuYi, Monad Greater China Ecosystem Head Harvey Chen, OmenX Chief Marketing Officer Gisele, and SVP Chain Market Head Celest engaged in a roundtable discussion on "The Revaluation of Crypto and the New Cycle."Regarding why they remain firmly invested in Crypto amid the AI boom, Sarah pointed out that the hotter AI gets, the more use cases there are for Crypto assets, and future transactions between AI Agents will rely on digital assets. YuYi believes that the bear market is precisely when the wheat is separated from the chaff, with compliant RWA (such as Hong Kong's first physical silver token) being implemented, speculative assets being eliminated, and the era of on-chain infrastructure arriving. Harvey Chen stated that high-performance public chains are the foundation for supporting large-scale applications, and Monad is committed to this. Gisele noted that Crypto addresses fairness and value transfer, complementing AI's focus on efficiency. Celest emphasized that AI lacks a native value system and increasingly requires Crypto to provide value authentication and decentralized trust.On the changing understanding of Crypto's value, the guests unanimously agreed that the industry is shifting from "issuing tokens for the sake of issuing tokens" to pursuing sustainable business models, with greater focus on capital efficiency, low costs, and 24-hour settlement as practical values. The value of public chains should be assessed based on real business scenarios and user transaction volumes, rather than narratives and financing.Regarding future growth engines and entrepreneurial advice, the guests generally expressed optimism about compliant RWA, AI payments, and sovereign blockchain directions, advising entrepreneurs to focus on real application scenarios, avoid empty concepts, and maintain a long-term construction mindset.
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