Биткоин остается уязвимым после обвала — ИИ рассказал, когда ждать отскок

investing.ruОпубліковано о 2025-11-19Востаннє оновлено о 2025-11-19

Investing.com — В ходе вчерашней сессии биткоин обвалился к апрельским минимумам, нарушив целостность уровня $90 000, прокол которого, похоже, остудил пыл продавцов.

Впрочем, попытки последующего отскока ограничились зоной $93 000-$94 000, и главная цифровая монета остается уязвимой в среду, торгуясь ниже $92 000.

Мы спросили у умного чат-бота WarrenAI от Investing.com, чего ждать от динамики BTC. В краткосрочной перспективе ИИ указал на риск еще одной волны продаж в случае новой атаки уровня $90 000:

WarrenAI

Тем временем ИИ-анализ графика предупредил, что любой отскок должен оцениваться с осторожностью до тех пор, пока цена не закрепится над уровнем $103 818, но такой сценарий пока маловероятен, по мнению WarrenAI.

WarrenAI

Здесь же, нажав на кнопку «Анализировать график» можно получить торговые сигналы, ключевые уровни и в целом подробный технический анализ актива на любых таймфреймах.

WarrenAI

Не решаетесь торговать криптовалютами в условиях повышенной волатильности? Можно присмотреться к акциям, причем подписчикам InvestingPro даже не приходится тратить время на поиск бумаг с хорошим потенциалом роста благодаря готовым стратегиям Propicks AI от Investing.com.

Кстати, сейчас можно стать подписчиком InvestingPro со скидкой до 55%, пока идет ранняя распродажа к Черной пятнице!

Не жди - подпишись со скидкой 55%!

Пов'язані матеріали

The War Without a Unified Name: The Domestic Tech Giants' World Model Landscape

The article outlines the diverse and fragmented landscape of "World Models" in China's tech industry, where major players are pursuing similar goals under different names like world foundational models, physical AI, or integrated within autonomous driving and embodied intelligence systems. The core aim is to enable AI to create an internal, dynamic environment for simulation, reasoning, and learning, reducing reliance on infinite real-world data. This "data engine" allows for unlimited generation, experimentation, and iteration. The report categorizes the approaches of different companies: * **Internet Giants:** Alibaba is developing models for linguistic, virtual, and physical worlds (Qwen-AgentWorld, HappyOyster, Qwen-RobotWorld). Tencent's HY-World focuses on 3D, game, and social scenarios. ByteDance leverages its vast video data for a potential "digital twin" model. Huawei integrates its model into industrial applications like smart cars and robotics without separately branding it. Baidu embeds world model capabilities within its Apollo autonomous driving and Ernie systems. * **Automakers:** Companies like NIO, Li Auto, XPeng, and Geely are using world models as virtual "driving schools" and "testing grounds." They generate complex scenarios (e.g., rain, snow) to train and validate autonomous driving systems in simulation, aiming for more capable and safer AI drivers. * **Autonomous Driving Suppliers:** Firms such as Momenta, Horizon Robotics, Haomo.ai, and DeepRoute.ai are building the underlying "world engines." They focus on large-scale video generation for simulation, reinforcement learning, and enhancing end-to-end autonomous driving models, often integrating these capabilities into commercial products. While startups bring focus and innovation, they face challenges like limited data, compute resources, and deployment channels. Large companies possess these advantages and are rapidly transitioning world models from research projects into core business infrastructure powering products in vehicles, games, and industry. The conclusion is that world models represent an evolution and convergence of existing AI fields into crucial industrial infrastructure, moving the competition from simply building a model to effectively deploying it to understand and interact with the physical world.

marsbit10 хв тому

The War Without a Unified Name: The Domestic Tech Giants' World Model Landscape

marsbit10 хв тому

BitMart Secures Australian Financial Services Licence, Reinforcing Global Compliance Framework

BitMart, a leading global cryptocurrency exchange, has obtained an Australian Financial Services Licence (AFSL) under Australia's 2026 Digital Assets Framework. This authorisation classifies its eligible platform as a regulated financial product supervised by ASIC, placing it under the same regime as traditional financial institutions. The licence mandates institutional standards for consumer protection, including client asset segregation and access to external dispute resolution. BitMart's Global CEO, Nathan Chow, stated that this regulation provides a foundation for trust and a compliant platform to offer diversified products, such as tokenised real-world assets, to international clients. The AFSL strengthens BitMart's global compliance, banking relationships, and institutional appeal while mitigating de-banking risks.

TheNewsCrypto30 хв тому

BitMart Secures Australian Financial Services Licence, Reinforcing Global Compliance Framework

TheNewsCrypto30 хв тому

Claude's Capabilities Extracted at Large Scale? Anthropic Accuses Ali-Related Parties of 'Distilling' Models

Anthropic alleges that entities associated with Alibaba and its AI lab Qwen used nearly 25,000 fraudulent accounts to extract capabilities from its Claude AI model in what it calls the "largest known" model distillation attack. The alleged incident occurred between April 22 and June 5, involving over 28.8 million interactions with Claude. Model distillation involves using a powerful model's outputs to train another model, potentially replicating abilities like software engineering and agent reasoning without stealing the underlying code. The accusations emerge amid heightened US AI export controls and the Pentagon's listing of Alibaba as a "Chinese military company." Anthropic detailed the claims in a June 10 letter to the US Senate Banking Committee, urging better threat intelligence sharing. While not conclusively proving direct Alibaba involvement or successful capability replication, the case highlights growing concerns over AI model outputs as contested assets. The incident may push for stricter controls on model access and user verification, increasing compliance costs for AI firms and potentially limiting Chinese companies' access to advanced foreign models.

marsbit32 хв тому

Claude's Capabilities Extracted at Large Scale? Anthropic Accuses Ali-Related Parties of 'Distilling' Models

marsbit32 хв тому

The Crypto Industry Enters the 'Show Me' Era: Vision Alone Is No Longer Enough

The crypto industry has entered a "Show Me" era, where grand visions and white papers are no longer sufficient to gain traction. This shift is driven by increased skepticism, high-profile bad actors, and notably, the serious entry of traditional finance (TradFi) institutions like BlackRock, Fidelity, and JPMorgan Chase, which are launching real, scaled products such as tokenized funds and blockchain-based settlement. This raises the bar for what constitutes a credible project. The communication dynamic has fundamentally changed. The focus is no longer on "what you are building" but on "what you have built and who is using it." Startups must now provide a "proof stack": verifiable data like mainnet transaction volume and active wallets, genuine partnerships with signed contracts, and evidence of organic product-market fit from real users, not just investors. Announcements must be backed by concrete, chain-verifiable evidence. For communication strategies, this means leading with proven facts and hard data—even if modest—rather than speculative narratives. A compelling story must be grounded in demonstrated results. While vision remains important, the balance has inverted from 80% vision/20% substance to the opposite. This higher threshold ultimately benefits builders with genuine traction, filtering out noise and allowing their real signals to stand out clearly. The "Show Me" era is a permanent maturation, demanding that communication strategies prove value, not just promise it.

链捕手41 хв тому

The Crypto Industry Enters the 'Show Me' Era: Vision Alone Is No Longer Enough

链捕手41 хв тому

Meta Follows the Trend into Prediction Markets: Can It Avoid Repeating the Failure of the Metaverse?

Meta, the tech giant behind Facebook, has reportedly formed a team to develop "Arena," a new application focused on prediction markets. Users would use platform points to place bets on outcomes in politics, sports, and global events. This move follows Meta's massive, nearly $900 billion, losses from its heavily-invested metaverse division, Reality Labs. The prediction market industry is already showing strong demand, with leading platforms like Kalshi and Polymarket facilitating hundreds of billions in annual volume. Meta, with its 3.56 billion daily active users across its apps, possesses the unprecedented scale to bring this niche activity to a mainstream audience, similar to its past success in cloning features like Stories and Reels. However, Arena faces significant hurdles. Meta plans to start with a points-based system to avoid strict financial regulations, but this may dilute the core incentive of accurate prediction that real-money markets provide. More critically, Meta enters the space with a major trust deficit stemming from its past regulatory battles, notably the failed Libra/Diem stablecoin project, and its controversial history with political content and misinformation. The prediction market sector itself is under increasing regulatory scrutiny, with recent CFTC actions including fines and the first-ever insider trading case. While Meta's vast user base offers a unique opportunity to expand the market, its success hinges on navigating complex regulations and rebuilding the credibility necessary for a platform dealing with sensitive topics like elections. The outcome could range from Meta dramatically growing the industry to Arena becoming a high-profile regulatory target before it can scale.

Foresight News58 хв тому

Meta Follows the Trend into Prediction Markets: Can It Avoid Repeating the Failure of the Metaverse?

Foresight News58 хв тому

Торгівля

Спот

Ф'ючерси