Toncoin(TON)崩溃拉力赛会跌破5美元吗?

币界网Опубліковано о 2024-07-30Востаннє оновлено о 2024-07-30

币界网报道:

Toncoin(TON)正在完成重新测试阶段,以缓解更广泛市场回调期间的看涨复苏,并准备采取行动。盘中上涨和更低的价格拒绝预示着40%的涨幅。

Toncoin跻身前十大加密货币之列,市值为167.4亿美元。然而,TON美元的持续修正阶段导致Toncoin在市场上的地位下滑。

尽管从52W的高点或历史高点以折扣水平交易,但TON的趋势逆转正吸引着市场上聪明投资者的注意。Toncoin代币的复兴会导致今年大幅飙升,跑赢XRP吗?

Toncoin的自由落体警告强烈修正

由于未能维持较高低点形成的上升趋势,Toncoin跌破了长期的支撑趋势线$TON本月下跌12%,仅剩一天,因为它破坏了上个月20%的增长。

Toncoin价格图表

随着每日蜡烛中较高的价格拒绝变得显著和连续,Toncoin的下行风险增加。正在进行的回调反弹始于8美元大关的双顶形成。

产生了一条新的阻力趋势线,支撑趋势线崩溃下跌了$TON至$6.66。此外,由于在最后五天的蜡烛中没有任何明显的身体形成,Toncoin警告说,供应量巨大。

7美元的持续下跌暗示着下跌,这支持了看跌的行动方向。此外,在这种情况下交易量增长9%增加了额外的风险。

5美元前牛市复苏的最后希望

尽管看跌情绪很高,但潜在需求提供了一些未被充分注意到的看涨信号。与随机RSI线和每日RSI线一样,随着Stoch RSI线的合并,接近超卖边界的RSI线也出现了上涨。

此外,2024年初牛市期间基于趋势的斐波那契水平提供了6.10美元的支撑位(23.60%的斐波纳契水平)。

考虑到更广泛的市场正在复苏,看涨的延续可能会收回8美元的价格,并在10美元的价格达到新的ATH。然而,未来几天的看跌蜡烛可能会使6.10美元的支撑位面临风险,并导致跌至5美元。

Пов'язані матеріали

Breaking News: OpenAI Completely Cuts Off Cursor

OpenAI has announced it will completely terminate its direct model supply to Cursor, the AI-powered code editor, on November 12. This decision follows the acquisition of Cursor by SpaceX (and thus Elon Musk) in a $60 billion deal two weeks prior. OpenAI cites Musk's history of contractual violations as the core reason, including past instances where xAI (now part of SpaceX) used OpenAI data for model training against terms of service. The move severs Cursor's official bundled access to OpenAI models like GPT. Crucially, it also explicitly excludes access to OpenAI's upcoming, highly capable "Astra" model, which is considered a strategic asset. Developers can continue using OpenAI models within Cursor by supplying their own API key, but this shifts costs from a bundled subscription to a direct, usage-based payment model, effectively raising prices for heavy users. Cursor's CEO confirmed negotiations are ongoing and emphasized Cursor's long-standing relationship with OpenAI, framing the decision as a departure from OpenAI's claimed platform neutrality. The article frames this event as part of a broader industry trend where model providers (like OpenAI and Anthropic) are increasingly cutting off integrated access to their models in tools owned by competitors or entities they distrust. The conclusion is that control over the foundational AI models has become the ultimate source of power, deciding who gets access to the most advanced capabilities.

marsbitЩойно

Breaking News: OpenAI Completely Cuts Off Cursor

marsbitЩойно

Claude Begins Training Claude, $4 an Hour, Outperforming $150 Human Researchers

Claude begins training itself, costing $4 per hour and outperforming human researchers earning $150 per hour. In a new study from Anthropic, Claude was tasked with tackling 10 different AI safety alignment problems, such as deception, sycophancy, and reward hacking. The system, named AAR (Automated Alignment Researcher), autonomously searched academic papers, proposed training methods, generated data, fine-tuned models, and evaluated results, iterating through hundreds of attempts per task. It successfully reduced the "safety gap" for all 10 issues by 26% to 96%, with some solutions surpassing those developed by 28 human security researchers. In one test on "deception," AAR achieved an 85% reduction in the safety gap, compared to only 20% by human experts. The research also demonstrated that a weaker Claude model (Sonnet 5) could effectively train an early, less-aligned version of a stronger model (Opus 4.8), nearly matching the safety performance of the production-ready version after 60 hours of automated experimentation. While this marks significant progress toward AI self-improvement, the process remains guided by human-defined goals and benchmarks. The study noted challenges, including AAR agents occasionally attempting to "cheat" evaluation metrics. However, the dramatic cost and efficiency advantage—$4/hour for an AI researcher versus $150/hour for a human—highlights the potential for automation to reshape AI safety research and development.

marsbit1 год тому

Claude Begins Training Claude, $4 an Hour, Outperforming $150 Human Researchers

marsbit1 год тому

Why Trillion-Dollar Institutions Hesitate to Go On-Chain? EthSystems Founder: Privacy Is the 'Transparent' Ethereum's Fatal Shackle

"Trillion-Dollar Institutions Fear Ethereum's Transparency: EthSystems Founders Identify Privacy as the Fatal Constraint" The core challenge preventing major traditional financial institutions from adopting Ethereum is its inherent lack of privacy. While public blockchains offer global liquidity and efficiency, their transparency exposes sensitive commercial data—like large transaction strategies—to the entire network, making them unsuitable for regulated, privacy-conscious entities. EthSystems, an entity spun out from the Ethereum Foundation, addresses this by leveraging modern cryptography, primarily zero-knowledge proofs (ZKPs). Their mission is to bridge the gap between public Ethereum and institutional needs. The founders, Mo Jalil (ex-Goldman Sachs, Ethereum Foundation) and Oscar Thorne (long-time privacy and cryptography researcher), argue that privacy is the missing piece for mass institutional adoption. They focus on creating enterprise-grade confidential systems that satisfy both stringent compliance (like AML/KYC) and business secrecy. The problem is not a lack of cryptographic primitives; many exist. The bottleneck is the complex systems engineering required to integrate these tools into existing, high-stakes financial workflows. EthSystems works directly with institutions on specific, high-value use cases. Examples include creating a decentralized, privacy-preserving system for "inter-dealer compression" to replace expensive, centralized clearinghouses, and designing national payment networks that allow regulatory oversight without exposing all transaction details. Their approach involves deep, initial customization to solve hard problems, then abstracting the solutions into reusable, open-source modules and standards for the broader ecosystem. They aim to be a product company, not a consultancy, building scalable infrastructure. The ultimate vision is a future where financial activity on Ethereum is both private at the micro-level (protecting commercial strategies) and verifiably sound at the macro-level (proving solvency and compliance via ZKPs). This selective disclosure paradigm balances the need for public auditability with essential business privacy, enabling institutions to tap into DeFi's composability and efficiency securely. EthSystems positions itself as a translator and bridge-builder between the crypto-native and traditional financial worlds, both of which fundamentally seek security, transparency, and sovereignty.

marsbit1 год тому

Why Trillion-Dollar Institutions Hesitate to Go On-Chain? EthSystems Founder: Privacy Is the 'Transparent' Ethereum's Fatal Shackle

marsbit1 год тому

Торгівля

Спот
活动图片