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Football starts with the community, and OneFootball will ensure that early supporters are rewarded, rather than marginalized, in the process of co-building the club.

Ethereum hovers near $4,385 with liquidity pulling price toward $4,500, but a failed support at $4,211 risks a sharp drop.

- Ripple launches $700M RLUSD stablecoin in Africa via Trident Digital, aiming to enhance digital payments and financial inclusion through regulatory compliance and USD-backed liquidity. - Trident commits $500M to XRP treasury, aligning with Ripple’s ecosystem to strengthen DeFi integration and blockchain innovation via staking mechanisms in African markets. - RLUSD targets cross-border payment gaps with low-cost, real-time settlements, leveraging Ripple’s CBDC experience and global regulatory partnerships

- The US leads global crypto adoption with $4.2T in fiat-to-crypto onramps, four times higher than any other nation. - Bitcoin dominates inflows at $4.6T, while spot ETFs attracted $54.5B since 2024, driving institutional and retail participation. - APAC saw 69% annual on-chain growth led by India, while Eastern Europe tops per-capita adoption due to economic instability. - Divergent global regulations emerge, with the US GENIUS Act and EU MiCA reflecting contrasting approaches to crypto oversight.

- BlockDAG's $389M presale and 3M users via X1 miner app highlight its rapid adoption in crypto. - Hybrid DAG-PoW model with EVM compatibility aims to solve scalability issues, attracting 300+ dApp developers. - $0.03 presale price targets $0.05 listing, competing with XRP and Cardano in 2025's institutional adoption race. - Physical miners (X10/X30/X100) and mobile mining blend retail/institutional participation, boosting network decentralization.

- A new Ethereum address withdrew 15,000 ETH ($66.11M) from FalconX, part of $353M in total withdrawals from four fresh wallets. - Large-scale Ethereum transfers to newly created wallets often signal institutional activity, influencing market dynamics and trader sentiment. - Recent movements coincide with Ethereum's mixed on-chain trends, including ETF outflows and price consolidation near $4,000 resistance. - Analysts highlight potential bullish implications if assets are held long-term, though sustainabi

- The Crypto Fear & Greed Index (CFGI) dropped to 51, shifting from "Greed" to "Neutral," signaling reduced investor exuberance and heightened risk awareness. - Volatility (32.5% "Fear") and Sei's 65% dominance highlight polarized sentiment, with altcoin gains contrasting Sei's market share pressures. - Volume (25% "Fear") and low impulse (45.5%) suggest cautious trading, as investors lock in gains amid uncertain macroeconomic and regulatory cues. - Negative social sentiment (21.5%) contrasts with "Extreme

- India leads global crypto adoption for third year, driving APAC's 69% YoY on-chain growth to $2.36T. - U.S. ranks second due to ETFs and regulatory clarity, processing $4.2T in crypto on-ramping volume. - Eastern Europe tops per-capita adoption with Ukraine, Moldova, Georgia leading amid economic instability. - Bitcoin dominates with $4.6T fiat inflows, while stablecoins like EURC surge 89% monthly. - Global adoption spans income levels, but low-income nations show higher volatility due to policy shifts.
- 22:32Alibaba launches more efficient Qwen3-Next AI modelJinse Finance reported that Alibaba's Tongyi Qianwen has released the next-generation foundational model architecture, Qwen3-Next, and open-sourced the Qwen3-Next-80B-A3B series models based on this architecture. Compared to the MoE model structure of Qwen3, this architecture features the following core improvements: hybrid attention mechanism, high-sparsity MoE structure, a series of training-stable optimizations, and a multi-token prediction mechanism that enhances inference efficiency. Based on the Qwen3-Next model structure, Alibaba has trained the Qwen3-Next-80B-A3B-Base model, which has 80 billion parameters but only activates 3 billion parameters. This Base model achieves performance comparable to or slightly better than the Qwen3-32B dense model, while its training cost (GPU hours) is less than one-tenth of Qwen3-32B, and its inference throughput for contexts above 32k is more than ten times that of Qwen3-32B, achieving exceptional cost-effectiveness in both training and inference.
- 22:24BlackRock plans to tokenize its funds that hold real-world assets and stocksAccording to ChainCatcher, after the success of the bitcoin ETF, BlackRock plans to tokenize its funds that hold real-world assets and stocks, and put them on the blockchain.
- 22:15The US DTCC has now listed FSOL, HBR, and XRPC.Jinse Finance reported, citing market sources, that the Depository Trust & Clearing Corporation (DTCC) in the United States has listed the Fidelity Solana ETF (FSOL), Canary HBAR ETF (HBR), and Canary XRP ETF (XRPC). Although this move does not indicate any regulatory approval or any definitive outcome of the approval process for these ETFs, listing them on the DTCC website is considered a "standard procedure" for launching new ETFs.