2026-07-26 Domingo

Notícias de cripto - Página 3

Mantenha-se a par do mercado de cripto. Notícias em tempo real, análises, preços, histórias em alta e análise de especialistas — tudo num só lugar.

Ten Questions and Answers: A Complete Guide to Robinhood Chain

"Ten Questions Answered: The Complete Guide to Robinhood Chain" Robinhood Chain, Robinhood's Ethereum Layer 2 network built on Arbitrum Nitro technology, launched its public mainnet on July 1, 2026. Designed for tokenized real-world assets (RWA) like stocks and ETFs, as well as DeFi applications, the network saw rapid initial growth, with over $3.1 billion in DEX volume in its first week. However, memecoin trading dominated this early activity, while the intended RWA use case, with approximately $13 million in tokenized stocks held, remains nascent. The network is EVM-compatible, uses ETH for gas, and features a permissionless design for users and developers, though its sequencer and validator set are currently permissioned. Its core functionalities include tokenized stocks/ETFs (which provide economic exposure but not legal ownership rights), decentralized trading via Uniswap's dedicated AMM, on-chain lending through Robinhood Earn, perpetual contracts, and support for AI agent-driven applications. Access to the underlying chain is open, but regulated products like stock tokens have jurisdictional restrictions and are not available in the U.S., Canada, and several other countries. Users can connect via Robinhood Wallet or compatible wallets like MetaMask. Key risks include over-reliance on speculative memecoin trading, limited adoption and liquidity for stock tokens, regulatory hurdles, centralization in core infrastructure, and standard cross-chain and smart contract risks. The network's long-term success in bridging traditional finance with DeFi hinges on developing its RWA ecosystem beyond initial speculation. (Note: All data referenced is as of mid-July 2026.)

marsbit2 dias atrás 07:46

Ten Questions and Answers: A Complete Guide to Robinhood Chain

marsbit2 dias atrás 07:46

The $4 Quadrillion Switch Has Been Flipped: DTCC Moves Wall Street On-Chain, an Infrastructure Shift, Not a Crypto Bet

The Depository Trust & Clearing Corporation (DTCC), which custodies $115 trillion in assets and settles quadrillion-dollar securities annually, has executed its first real settlement of tokenized stocks, ETFs, and treasury securities. This marks a fundamental infrastructure shift in global finance, not merely a cryptocurrency experiment. Key insights from a discussion with DTCC's digital asset lead and BCG partners frame this transition. First, this is a multi-decade rebuild of financial rails, akin to telecom's shift to packet-switching, potentially exposing 15-30% of bank profits by 2035. Second, atomic settlement is a misnomer for scale; DTCC's netting eliminates 98% of gross obligations, a liquidity necessity. The first major application will be in collateral and repo markets, enabling near real-time, 24/7 movement and valuation of trillions in assets, reducing capital costs. BCG's projection of $8.8 trillion in tokenized real-world assets by 2035 assumes a 16% penetration rate, but momentum matters more than the precise figure. Winners will be structural orchestrators that abstract blockchain complexity for clients, not proponents of any single chain. Crucially, risk management is becoming code, with compliance logic embedded in smart contracts, though the role of human discretion in crises remains an open question. The core debate is settled: the system's deepest node has moved. The remaining variable is the adoption timeline.

marsbit2 dias atrás 07:42

The $4 Quadrillion Switch Has Been Flipped: DTCC Moves Wall Street On-Chain, an Infrastructure Shift, Not a Crypto Bet

marsbit2 dias atrás 07:42

The Perfect Founder-Market Fit: Bear Markets Are the Ultimate Test

"Founder-Market Fit in a Bear Market: The Ultimate Test" While AI captures the vast majority of venture capital and attention, the current crypto bear market is revealing the strongest cohort of founders in four cycles. These operators, hailing from institutions like Goldman Sachs, Citadel, and Stripe, are not chasing narratives. They are converging on the now-compelling "hard problem" of institutional-grade financial infrastructure. Founder-market fit—the alignment between a specific founder's unique capabilities and a specific market's needs—is the most durable signal in venture. Products, markets, and regulations change, but this fit compounds even when prices don't. The bear market is the best environment to identify it. Talent is now concentrated on two serious verticals: AI and fintech. The quality of founders choosing blockchain for finance is unprecedented. Evidence is in who's building: founders from elite traditional finance backgrounds are tackling on-chain institutional infrastructure (e.g., Ondo's Nathan Allman, Offchain Labs' Ed Felten). Market data supports this shift, with tokenized real-world assets and stablecoins growing significantly and major banks launching products. The author evaluates founders on four traits: 1) Deep domain expertise (lived experience, not just theory), 2) High agency (ability to sell a vision based on deep market understanding), 3) Unfair network advantage (relationships that accelerate execution), and 4) Obsession (long-term commitment rooted in belief, not hype). In a bull market, momentum does the work. A bear market strips that away, leaving only belief—the observable output of true founder-market fit—as fuel. This period filters out tourists, leaving builders who see the long-term opportunity. For serious operators considering the space, the bear market is not a risk but a proving ground and the cleanest environment to build compounding advantage. The commitment is to back such founders at the intersection of market and conviction, as in every prior cycle.

marsbit2 dias atrás 07:35

The Perfect Founder-Market Fit: Bear Markets Are the Ultimate Test

marsbit2 dias atrás 07:35

Shing-Tung Yau Invites Wang Hong and Deng Yu to Teach Back Home, After 20 Years of Rivalry, Tsinghua and Peking University Realize the Opponent Isn't Each Other

On July 23, the Fields Medal, the highest global mathematics award, was awarded to two Chinese mathematicians, Wang Hong and Deng Yu, both undergraduate classmates from Peking University's class of 2007. This marks the first time mathematicians who completed their undergraduate studies in mainland China have won the prize, with two laureates in the same year. Following the announcement, renowned mathematician Shing-Tung Yau publicly invited Wang and Deng to return to China to teach at Tsinghua University's Qiuzhen College. This invitation is the latest episode in a decades-long rivalry between Tsinghua and Peking University (PKU) for supremacy in Chinese mathematics. The competition traces back to a 1952 national university restructuring that transferred Tsinghua's entire mathematics department to PKU, leaving Tsinghua without a math program for nearly 30 years until its reinstatement in 1979. The rivalry intensified in 2005 with a public falling-out between Yau and his former student, PKU professor Gang Tian. Subsequently, Yau shifted his efforts to building Tsinghua's mathematics program from the ground up. He established the Yau Mathematical Sciences Center in 2009 and founded the Qiuzhen College in 2021, implementing an elite, accelerated "Math Leadership Program" to recruit prodigies as young as middle school students. The competition spans multiple fronts: recruiting top junior high and high school students from math olympiads, luring renowned scholars from overseas, and securing research funding. A new and fierce battleground has emerged in AI and mathematical reasoning. Both universities are heavily investing in AI research to enhance large language models' mathematical capabilities, with Tsinghua collaborating on projects like the STARE algorithm and PKU developing specialized models for geometry. Despite the intense competition, this rivalry has arguably elevated China's overall standing in mathematics. Chinese mathematicians now frequently publish in top journals and win major international awards. At the recent 17th Yau College Students Mathematics Contests, PKU students swept the top individual awards. Yau, presenting the awards, emphasized the need for inter-university collaboration to advance Chinese mathematics. The landscape is now shifting with the rise of AI in mathematical research. As AI begins to generate proofs at an unprecedented rate, the traditional metrics of competition between institutions may become less relevant. The future for mathematicians, as noted by Terence Tao, is navigating an era of "proof surplus" driven by AI, presenting a new common challenge that transcends university rivalries.

marsbit2 dias atrás 07:28

Shing-Tung Yau Invites Wang Hong and Deng Yu to Teach Back Home, After 20 Years of Rivalry, Tsinghua and Peking University Realize the Opponent Isn't Each Other

marsbit2 dias atrás 07:28

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