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BTC $78,945.95 -1.70%
ETH $2,224.00 -0.62%
BNB $663.87 -1.64%
XRP $1.43 -2.27%
SOL $88.35 -2.30%
TRX $0.3512 -0.61%
DOGE $0.1116 -1.35%
ADA $0.2589 -2.39%
BCH $423.56 -2.31%
LINK $9.97 -2.49%
HYPE $42.66 -6.38%
AAVE $91.31 -5.04%
SUI $1.08 -6.55%
XLM $0.1533 -3.35%
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yz

YZi Labs announced the graduation project of EASY Residency Season 3, focusing on AI agents, RWA, prediction markets, and privacy compliance

YZi Labs announced the 25 graduation projects of its flagship incubation project EASY Residency for the third season, focusing on areas such as on-chain financial market structure reconstruction, AI agents, tokenization of real-world assets, prediction markets, and privacy compliance. The 25 projects include:Identity and payment infrastructure for AI agents on the BNB chain Bank of AI, litigation workflow legal evidence indexing tool Brief Tech, AI probability output verifiable reasoning platform Cournot, financialized social network and trading platform Dapital, programmable token issuance infrastructure Flap;On-chain marketplace for collectibles and intellectual property assets GEMINT, on-chain options and structured products platform LayerV, CEX-level on-chain liquidity platform LunarBase, multi-market agent capital acquisition platform L7, DeFi unified margin layer Möbius, permissionless margin trading protocol Nemesis;AI agent-driven automated financial decision execution layer Newsliquid, tokenized private market exposure DeFi platform Openstocks, on-chain poker skill game options market PokerFi, prediction market automation and intelligence infrastructure Polysights, physical collectibles RWA liquidity infrastructure Renaiss;Fixed-rate decentralized lending platform TermMax, compliance-oriented digital asset privacy infrastructure 0xBow, AI agent workflow self-custody authorization layer Functor, interest-free stablecoin new bank for the Muslim market Isaac, on-chain prime brokerage platform for the BNB chain MARGIN X;Frictionless stablecoin exchange N-dimensional AMM Orbswap, compliance-oriented cross-chain privacy exchange protocol SilentSwap, crypto market AI agent trading and automation infrastructure Taco AI, on-chain event-driven derivatives platform Vibe.fun.

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.

Bitget launches a new educational series "UEX Roundtable," analyzing advanced trading frameworks through real cases

Bitget officially launched a new educational series called "Panoramic Trading Room UEX Roundtable." This series focuses on advanced traders, with the core concept of "Beyond the Chart," covering professional topics such as advanced technical analysis, cross-asset allocation strategies, order flow interpretation, and risk control system construction. The series invites industry veteran analysts to deeply analyze real trading cases, helping traders overcome the critical threshold from "reading charts" to "execution," gradually establishing a more systematic trading framework.The product manager of Bitget UEX stated: The crypto market is never short of information; what is truly scarce is a mature trading system. Most traders are overwhelmed by a vast amount of market signals daily, making it difficult to efficiently identify and apply them. The "UEX Roundtable" adheres to a theme for each session, relying on practical case analysis methodology to ensure that the content is understandable, reusable, and applicable.The first episode of "Panoramic Trading Room UEX Roundtable" premiered on YouTube and is simultaneously covered on community channels such as X platform and Telegram. At the same time, a topic voting mechanism for the audience is open, encouraging content co-creation and continuously delivering professional content that aligns with market dynamics and focuses on practical application, empowering advanced traders continuously.

Messari deeply analyzes Bitget's four-layer AI architecture, taking the lead in connecting the multidimensional AI calling system

Messari's latest Pulse report provides an in-depth analysis of the early implementation progress of the Bitget AI trading system. The report points out that Bitget has built a four-layer AI product architecture that includes GetAgent (market analysis), GetClaw (autonomous execution), Agent Hub (developer access), and Gracy AI (strategy interaction). Data shows that Gracy AI attracted over 460,000 users just 11 days after its launch, generating more than 2.6 million replies and achieving an exposure of 390 million; GetAgent has surpassed 450,000 registered users, achieving over 100 million exposures during its early invitation testing phase and accumulating more than 25,000 waiting users.Messari emphasizes the infrastructure capabilities of Agent Hub in the report, noting that Bitget is currently the only trading platform that supports a complete calling system for MCP Server, REST/WebSocket API, Skills, and CLI. Currently, Agent Hub has integrated 5 analytical AI Skills and over 15 data tools, covering macro, technical, sentiment, and intelligence analysis comprehensively. The execution layer, GetClaw, builds a risk control defense line through sub-account isolation, sandbox drills, and funding limits, and has now integrated with Telegram, with plans to expand to Discord and app platforms in the future.Bitget CEO Gracy Chen stated that AI is becoming a core component of modern trading infrastructure, and early data indicates that users increasingly expect a complete integration of analysis, execution, and strategy within a single platform. Bitget is committed to lowering the professional trading threshold through AI technology, providing institutional-level trading experiences and decision support for 150 million users worldwide.
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