特朗普相关 ETF 炒作推动 CRO 上涨逾 35%，还能涨多高？

Bitpanda 已获得德国联邦金融监管局颁发的 MiCA 许可证，允许其在所有 27 个欧盟成员国的统一监管框架下运营。 MiCA 许可证为欧洲加密行业引入了单一监管制度，解决了长期以来各国规则分散的挑战。 该框架提供了明确的许可，标准化了加密服务提供商的规则，并禁止反向招揽，要求非欧盟公司在提供服务之前获得欧盟许可。 你可能还喜欢：随着人们对 Lightchain AI 的兴趣日益浓厚，特朗普表情包币价格飙升 欧洲采用 Bitpanda 领导层强调了这一里程碑的重要性。副首席执行官 Lukas Enzersdorfer-Konrad 表示，该许可符合公司对监管合规的承诺，并将推动欧洲市场的采用和增长。首席执行官 Eric Demuth 补充说，该许可使该平台能够向整个欧盟的更广泛受众提供受监管的投资服务。 德穆斯表示：“这一里程碑使我们能够为超过 4.5 亿人带来简单、安全的投资，在我们准备全面征服的市场中释放无与伦比的增长潜力。” 重大新闻：Bitpanda 已获得由欧洲最高金融监管机构之一德国 BaFin 颁发的 MiCAR 许可证。🚀这为整个欧盟的加密货币透明度、安全性和信任度树立了新标杆。凭借此许可证，我们已准备好引入受监管的……pic.twitter.com/i1PlxhwK6Uâ Bitpanda (@Bitpanda_global) 2025 年 1 月 27 日 MiCA 许可证消除了单个国家/地区批准的需要，从而降低了 Bitpanda 的运营复杂性。该框架还通过对加密货币公司引入更严格的义务来防止不当行为，从而增强了对投资者的保护。 凭借新许可，Bitpanda 计划在整个欧盟扩展其零售和机构服务，利用协调的监管环境来扩大其产品和用户群。 Bitpanda 成立于 2014 年，其用户群已从 2019 年的 100 万增长到 2024 年 12 月的 600 万。该公司持有 17 个许可证，包括 PSD2 和 MiFID II，并提供涵盖加密货币、股票和商品的一系列产品。 你可能还喜欢：人工智能预测这枚硬币将在 2025 年复制柴犬 2021 年的反弹

Disclosure: The views and opinions expressed here belong solely to the author and do not represent the views and opinions of crypto.news’ editorial. Chatbots blew our minds when they first emerged more than a year ago. Having a conversation with an AI as if it were a human in the next room, seeing it summarize complex ideas—it felt like the dawn of a new era. But since then, the state of development has become fragmented in interesting ways. You might also like:Crypto is the currency of artificial intelligence | Opinion Despite all the excitement and the billions poured into AI development, where are the truly transformative applications? Apple, Microsoft, and Meta have had over a year to integrate AI into their ecosystems, yet their biggest AI breakthroughs amount to incremental improvements to existing products. Microsoft put a chatbot in Word. Meta put one in Instagram. Apple’s flagship AI project? A delayed Siri upgrade that still hasn’t arrived. The momentum is instead with independent developers, who are racing ahead, building AI agents that can write and deploy entire software applications, autonomously manage investment portfolios, and generate real-time content in completely new formats. The most meaningful innovation isn’t happening inside Big Tech. It’s happening at the edges, among scrappy builders who see AI not as an added feature but as the foundation for something entirely new. Corporate resources are no substitute for innovation, and defending moats is a risky strategy in the middle of a technological shift. Today’s leading tech companies are falling behind, slowed by internal complexity as they cede ground to more agile, imaginative, and unencumbered challengers. Big Tech has everything it needs to win AI—and yet, it won’t Apple, Microsoft, and Meta have near-infinite resources, armies of engineers, and some of the biggest AI research budgets in the world. On paper, they should be dominating the AI revolution. Instead, their AI strategies look like patchwork fixes. Rather than building something fundamentally different, they’re trying to shoehorn a radically new technology into their existing product lines. Take Apple. The company that once revolutionized personal computing, mobile phones, and digital payments is now struggling to deliver a timely AI-powered upgrade to Siri. It has the data, the talent, and the resources, but it’s still failing to integrate AI into its ecosystem in a meaningful way.  Microsoft, Meta, X, and other tech heavyweights similarly have thrown their might and corporate resources at AI, but all have more or less come up with the same application: a chatbot. All of this is not to suggest these companies are being complacent or ignoring the more innovative uses of AI. Microsoft has deeply integrated AI into productivity software, Google is embedding AI into search, and Apple is rumored to be developing AI-powered device processing. But their approaches remain cautious, designed to add to what already exists rather than build something entirely new. They are fundamentally defensive moves, trying to preserve their existing empires instead of embracing the unknown. And they’re making a critical mistake. Incumbency can be as much a hindrance as an advantage  While known for their iconoclastic origins, the dot-com pioneers are all grown up now. Mark Zuckerberg is no longer the hoodie-wearing college dropout disrupting the internet with a scrappy startup. He’s a corporate tycoon running one of the world’s largest ad empires. The Facebook that once moved fast and broke things is now slow, cautious, and reactive—a company trying to squeeze AI into its existing business model rather than building something radically new.  And history is clear: being slow to adapt is how giants fall. Yahoo had every opportunity to dominate the internet, but it dismissed search as a secondary feature, failing to recognize its central role in the nascent online economy. Google took search seriously—and built an empire around it. Microsoft was the undisputed leader in software, but dismissed smartphones as a niche market. By the time it realized its mistake, Apple and Google had already divided up the mobile world, leaving the Windows Phone dead on arrival. IBM, once the gold standard in computing, underestimated the rise of cloud architecture. While Amazon quietly built AWS into the backbone of the internet, IBM remained focused on enterprise hardware and services—betting on the past while the future passed it by. Now, the tech founders we once idolized as rule-breakers and disruptors have become the establishment—and they’re making the same mistakes. AI isn’t just another feature to be bolted onto Word, Instagram, or Siri. It’s an entirely new paradigm—one that demands new business models, new interfaces, and new ways of thinking. True AI innovation is driven by the unconstrained Some of the most compelling and innovative AI applications aren’t emerging from expensive R&D Labs—they’re being built by small developer teams shipping products over a weekend. These developers aren’t adding AI to existing products; they’re building entirely new products with AI at their core. We’re seeing tools that can autonomously trade and manage crypto portfolios, generate interactive lessons on any subject in seconds, and spin up full-stack web apps from a single prompt. And increasingly, we’re seeing developers embrace AI’s unexpected strengths—improvisation, humor, and surprise. One standout example is AI Dungeon, a web-based game where AI narrates an unfolding story based on player prompts. It can generate characters, plot twists, and environments in real-time, adapting with every user interaction. It’s a case study in what dynamic, user-driven content might look like in an AI-first internet. Another is SceneCraft, a tool that lets tabletop game masters generate narratively consistent fantasy scenes from just a few lines of story setup. Used by players of games like Dungeons & Dragons, it stitches together visual art, character design, and lore—all in real time—to help players immerse themselves in custom-built worlds. It’s not an AI layer on top of an existing game engine or productivity suite—it’s a wholly new type of product, born from the creative possibilities of AI itself.  This kind of experimentation is reminiscent of the early App Store era, which in turn echoed the era of the early internet. In both cases, what started as a flood of oddball experiments, viral hits, and personal projects laid the foundation for entirely new platforms. What looked like play was, in hindsight, the beginning of a seismic shift. And that’s the point. The freedom to explore ideas that don’t have to scale, fit a roadmap, or serve an existing customer base is exactly what creates the space for these projects to break new ground. AI won’t be won by the companies stuck in the past Every technological shift brings a new class of winners. Earlier pivot points elevated companies like Google, Amazon, and Facebook, while others like Yahoo and IBM struggled to adapt to a rapidly evolving landscape. The smartphone revolution catapulted Apple and Android to dominance, while Microsoft, Nokia, and BlackBerry failed to adapt. AI will be no different. The companies that truly define this era won’t be the old guard—they’ll be the scrappy, relentless newcomers who build AI-native products that unapologetically break from the past.  Read more:AI is creating a new class of entrepreneurs, and you’re either in or out | Opinion Christel Buchanan Christel Buchananis the founder and CEO of ChatandBuild, an AI-powered platform that transforms ideas into fully functional apps in minutes.

视频游戏零售商 GameStop 已完成 15 亿美元可转换优先票据的发行，并计划利用这笔资金购买比特币作为其资金来源。 根据该公司提交给美国证券交易委员会的文件，此次出售于 2025 年 4 月 1 日完成，扣除费用后筹集了 14.8 亿美元。GameStop 最初的目标是筹集 13 亿美元，计划将比特币添加到其资产清单中。 此次销售超出预期，额外售出了 2 亿美元的票据。该公司表示，这些资金将用于一般公司用途，包括购买比特币。 GameStop 决定投资比特币是更大趋势的一部分，即上市公司通过持有最受欢迎的加密货币来实现资产负债表的多元化。 与持有最大比特币储备的 Strategy（前身为 MicroStrategy）类似，GameStop 也采用可转换优先票据为比特币购买提供资金。Strategy 目前持有超过 500,000 枚比特币，价值超过 450 亿美元。 你可能还喜欢：宣布押注 13 亿美元比特币后，GameStop 股价盘中暴跌逾 25% 3 月 25 日，GameStop 董事会批准了投资比特币和与美元挂钩的稳定币的计划。这项新投资将由该公司 47.7 亿美元的现金储备提供资金。通过将比特币纳入其持股，GameStop 希望改善其财务状况并拓展其主要零售业务以外的业务。 然而，人们对这一新方向提出了担忧。eToro 分析师 Bret Kenwell 最近评论道：“如果比特币将成为支点，那么其他一切又将何去何从？” GameStop 今年决定关闭数家门店，暴露了其关键零售业务存在的问题，加剧了这种担忧。尽管有消息称，GameStop 的股价并没有大幅上涨，当日收盘时小幅上涨了 1.34%。 你可能还喜欢：贝莱德获得英国批准在泛欧交易所推出比特币 ETP

据投资公司 VanEck 最近的一份报告称，中国和俄罗斯目前正在使用比特币结算部分能源交易。 此举标志着美元主导的金融体系的转变，并且正值全球贸易紧张局势加剧之际。VanEck 的数字资产研究主管 Matthew Sigel 证实了这一进展，并表示采用比特币 (BTC) 进行贸易结算正在不断发展，而不仅仅是猜测。 “这种兴趣不再只是理论上的。据报道，中国和俄罗斯已经开始用比特币和其他数字资产结算一些能源交易，”他在最近的一份报告中写道。 除中国和俄罗斯外，玻利维亚也宣布了使用加密货币进口电力的计划。法国公用事业巨头法国电力公司（EDF）也在探索通过比特币挖矿将剩余电力货币化。 您可能还喜欢：突发新闻：关税暂停期间比特币回升至 8.1 万美元，中国仍将面临 125% 的关税 加密货币的用例 VanEck 的报告将这些发展置于更广泛的转变背景下：数字资产在实际的跨境贸易中正日益得到应用，尤其是在能源市场。对于那些在传统金融渠道上面临限制的国家来说，比特币提供了一种中立且去中心化的支付机制。 这种转变也可能增强比特币在货币不稳定时期作为对冲工具的作用。 西格尔指出，美联储的鸽派信号历来支撑比特币价格，这进一步增加了寻求替代储备和结算工具的国际参与者的兴趣。 您可能还喜欢：美国众议院听证会重启加密货币监管，希望“今年”能出台明确措施

The Grass crypto token price continued surging this week and reached its highest level since March 6 this year as its scraped data jumped to a record high. Grass (GRASS) surged to a high of $2.4078, up nearly 70% from its monthly low, bringing its market capitalization to over $578 million. Daily trading volume jumped 215% to $151 million. According to the Grass Foundation, daily data scraped jumped to a record high of 1,762 terabytes, up from this week’s low of 200 terabytes. The previous daily record was 1.745 terabytes in March. Grass utilizes unused internet bandwidth from user devices (or “nodes”) to scrape publicly available data from websites such as Wikipedia and The New York Times. This data is then used to train AI models, offering them access to real-time public information. You might also like:Synthetix wants to acquire Derive through a $27m token swap In return, the Grass Foundation rewards its 2 million members with GRASS tokens, creating a mutually beneficial ecosystem. Meanwhile, CoinGlass data shows demand for the Grass crypto token has also surged in the futures market, hitting an all-time high of $152 million, driven primarily by activity on Bybit, followed by Binance. Grass crypto price analysis Grass price chart | Source: crypto.news The four-hour chart shows that Grass climbed to $2.3875, its highest price since March 6. It broke above the key resistance level at $2.00, previously the high from April 2. GRASS has also broken out of a green symmetrical triangle, confirming a bullish move. It’s now trading above the 50-period moving average, while the Relative Strength Index has entered overbought territory. Therefore, the most likely scenario is where the Grass crypt coin retreats and retests the psychological point at $2, and then resumes the uptrend. More gains may see it jump to its all-time high of $3.85, up by 70% from the current level.  The bullish outlook for Grass Coin will be invalidated if it falls below the psychological level of $1.50, which aligns with the confluence of the two triangle trendlines. You might also like:London-listed crypto firm Vinanz secures $4m backing for US Bitcoin push and dual listing plans