Биткоин штурмует $97 000: анализ ключевых уровней

cryptonews.ruPublicado a 2021-09-03Actualizado a 2025-01-03

Цена биткоина поднимается выше $97 000, преодолевая ключевые уровни сопротивления. Аналитики внимательно следят за движением криптовалюты, которая начала год с уверенного роста.

1-дневный график BTC/USDT. Источник: скринер криптовалют Cryptovizor

Борьба за поддержку

На момент открытия торгов на Уолл-стрит биткоин тестировал важный уровень сопротивления. По данным скринера криптовалют Cryptovizor, BTC/USDT преодолел отметку в $97 000. После стремительного роста в начале года и повторного тестирования уровня $96 000 в качестве поддержки, биткоин нацелился на возвращение выше 50-дневной скользящей средней (SMA).

«Отличное продолжение прорыва нисходящего клина», — написал в своем анализе на X популярный трейдинговый аккаунт SuperBro, комментируя дневной график. «Не стоит агрессивно открывать длинные позиции при подходе к потенциальному сопротивлению. Теперь нам нужно вернуться выше 20- и 50-дневных SMA и превратить их в поддержку».

1-дневный график BTC/USDT. Аналитика: SuperBro

Технические индикаторы предупреждают

Трейдер Roman призывает к осторожности, анализируя 4-часовой график. «Думаю, некоторые из вас слишком рано радуются», — отмечает он. «У нас рост на низких объемах с максимальным значением стохастического RSI. Обычно это означает, что нас ждет небольшое снижение».


4-часовой график BTC/USD. Аналитика: Roman

Трейдер Daan Crypto Trades обращает внимание на еще один уровень сопротивления — 200-периодную SMA на 4-часовом графике. «Цена движется вокруг узла высокого объема. Это означает, что большинство сделок совершается именно в этом ценовом диапазоне. Как правило, цене легче двигаться, когда она отрывается от такой зоны высокого объема», — поясняет он.

4-часовой график BTC/USD. Аналитика: Daan Crypto Trades

На бычьем рынке откаты — для покупки

Аналитик BitQuant использует сигналы социальных сетей и для прогнозирования предстоящего отката из-за чрезмерного оптимизма на рынке. «Скоро начнется снижение и об этом будут говорить повсюду. Не поддавайтесь панике, — предупреждает он. «Нужно покупать на откате, а не продавать».

Lecturas Relacionadas

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

This article explains the three primary methods for Codex to interact with a computer, each with distinct use cases, permission boundaries, and trust levels. **1. Computer Use:** This offers the broadest access, allowing Codex to visually control and interact with the graphical user interface of authorized macOS/Windows apps, system settings, and even iOS simulators. It's ideal for tasks lacking APIs or structured tools, such as operating legacy software or multi-app workflows. However, it's the slowest method and has the widest permission scope, requiring careful supervision for sensitive actions. **2. Chrome Extension:** This grants Codex access to the user's logged-in Chrome browser state, including cookies, profiles, and open tabs. It's best for tasks requiring user identity across websites like Gmail, LinkedIn, Salesforce, or internal dashboards. Its key advantage is multi-tab control for complex workflows. While more powerful for browser-based tasks than Computer Use, it carries higher sensitivity as actions are performed under the user's identity. **3. In-App Browser:** This is a browser isolated within the Codex thread, separate from the user's personal browsing data. It excels in web development and debugging scenarios—previewing local servers, testing responsive layouts, or annotating designs directly on the page. Its isolation is a strength for development but a limitation for tasks requiring login sessions. The core principle is to choose the narrowest, safest, and most structured interface for the task. Use plugins or MCPs first, resort to visual control (Computer Use) only for GUI-dependent tasks, employ the Chrome extension for identity-reliant browser work, and prefer the In-App Browser for isolated development. **Appshots** are clarified as a fourth, complementary tool for *inputting* context—capturing a screenshot of a window to point Codex to something—rather than a method for Codex to *act*. Together, this layered approach highlights a key to AI agent productization: not granting unlimited permissions, but constraining them within clear boundaries for specific tasks while preserving user oversight.

marsbitHace 1 hora(s)

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

marsbitHace 1 hora(s)

The "Iron Rule" of Chip Equipment Is Being Broken

For years, the semiconductor equipment industry followed an unwritten "iron rule": suppliers offered steep discounts for new tool introductions (Design-in) and faced consistent price pressure during repeat orders, especially during market downturns. This long-standing buyer's market dynamic is now being upended. Recently, SK Hynix's primary equipment suppliers have reportedly requested a 3-4% price *increase*, a nearly unprecedented move. This shift is driven by a severe supply-demand imbalance fueled by the AI compute boom. Securing equipment has become an urgent arms race as chipmakers' expansion speed dictates their ability to fulfill massive AI chip orders. Key areas feeling the strain include: **TCB (Thermal Compression Bonding) Equipment:** Demand is exploding, driven by the simultaneous needs of HBM4 memory stacking, AI chip Chip-on-Substrate (C2S), and logic Chiplet Chip-on-Wafer (C2W) packaging. Players like Hanmi Semiconductor, Hanwha Semitech, and ASMPT are receiving major orders. While hybrid bonding is seen as the future, TCB remains the pragmatic choice for HBM4 mass production, with its lifecycle extended by relaxed specifications and ongoing technological upgrades. **Test Equipment Bottlenecks:** Ironically, AI-driven shortages are now crippling test equipment manufacturing. Critical components like FPGAs, Driver ICs, and CPUs face severe shortages and extended lead times (up to 52 weeks for FPGAs), as AI data center and server vendors prioritize supply. This creates a paradoxical cycle: AI chip shortages drive fab expansion, which requires more test equipment, whose production is delayed because its key parts are diverted to make AI chips. The industry is entering a broad, AI-powered upcycle. SEMI forecasts global semiconductor equipment sales to hit a record $156 billion by 2027, fueled by investment in advanced logic/foundry, HBM-driven DRAM, and advanced packaging (like CoWoS). Major players like TSMC, SK Hynix, and Micron are aggressively ramping capital expenditure. In conclusion, leading equipment vendors are no longer just selling tools; they are selling the critical capability to deliver AI-era capacity. Pricing power is shifting decisively to those with indispensable technology in key process nodes like advanced logic, HBM, and advanced packaging, rewriting the industry's traditional power structure.

marsbitHace 1 hora(s)

The "Iron Rule" of Chip Equipment Is Being Broken

marsbitHace 1 hora(s)

Trading

Spot
Futuros
活动图片