【龙虎榜】LUNA冲高回落 WAVES再次飙升

火必研究院Pubblicato 2022-03-16Pubblicato ultima volta 2022-03-17

Introduzione

BTC日K线价格表现相对纠结,冲高回落表现持续以后,振幅小幅回升到了7.36%。

1、大盘走势:

BTC日K线价格表现相对纠结,冲高回落表现持续以后,振幅小幅回升到了7.36%。虽然从价格上看,BTC并未持续调整信号,但是目前低波动率阶段价格冲高回落,发出了相对弱势的调整信号。压力位方面,120日均线继续向下移动,点位上达到了44879美元。60日均线为39959美元,BTC反弹面临近期成本价压制。

具体到波动期间看,目前BTC运行在斐波那契50%对应的36078美元上方,波幅收窄意味着方向选择机会增加。缩量运行阶段,仍然警惕价格可能的破位下跌信号。

2、消息面解读:

研究表明,虽然有俄乌冲突和大宗商品价格上涨对通胀前景预测带来不确定性。但是预期美联储仍将在本次会议以加息25个基点启动加息周期,并且布《缩减美联储资产负债表规模原则》附录,发出美联储准备在5月启动量化紧缩(QT)的强烈信号。

对美联储加息周期中值提前,预计今明后三年分别加息5次、4次和1次。

加息预期较强,金融市场动荡不安,美国股市三大指数悉数反弹,大宗商品继续调整,BTC也迎来短线波动机会,但是方向确认需要时间。预计首次加息对金融市场影响逐步消退,加息周期BTC面临调整压力,依然需要关注调整预期。

3、龙虎榜前10涨跌表现

涨幅榜:

作为SOLANA生态重要的币种,GRT和WAVES在社交热度方面的避险值得关注。推特数据显示,WAVES热度仅低于Chainlink,说明投资者对其关注点很高。热点方面,WAVES作为有俄罗斯概念的币种,近期走势非常强,伴随俄乌局势延续,WAVES也受到了一些影响。

The Graph:WEB3.0概念里,GRT市值19.7亿美元,排名在DOT和FIL下边。而排名第四的BAT,也同样成为涨幅龙虎榜的第三位币种。

跌幅榜:

LUNA

LUNA的锁仓增长非常迅速,并且在整体公链中占比空间不断提升。数据显示,最新的LUNA的TVL增长到了245.5亿美元。同时,LUNA波段涨幅高达80%以上,短线调整不改变价格强势。

RUNE:

新平台功能的推出和即将到来的讨论支持,对RUNE价格提升有明显的意义。但是经过一轮炒作后价格累计涨幅110%以后,价格短线回撤,跌幅排名靠前,但是强势依旧。

令RUNE社区振奋的一项发展是将Terra ( LUNA )集成到THORChain协议中。这种集成还使该平台能够支持所有基于Cosmos的项目。Terra集成将LUNA代币以及TerraUSD (UST) 稳定币带入THORChain生态系统,并为用户提供更多交易和质押选择。

作为Terra和Cosmos SDK推出的一部分,THORChain将通过硬分叉进行更新。

对RUNE越来越关注的第二个原因可能是即将在THORChain上推出的主网。该活动自2021年末原计划推出但因各种因素推迟发布后就备受期待。主网启动的具体日期尚未公布,但社区成员一直保持乐观,他们在过去一年和黑客的斗争中始终未离开。

Letture associate

He Let GPT-5.6 Sol Run for 33 Hours Straight to Tackle Fermat's Last Theorem, Forcibly Terminated by the System

This article discusses a real-world experiment by expert Michael P. Frank to test if an AI, specifically GPT-5.6 Sol, could autonomously make progress on a major unsolved mathematical problem: finding a simpler proof for Fermat's Last Theorem. The AI was tasked with exploring specific mathematical pathways and maintaining rigorous notes over approximately 33 hours. However, the session was terminated by OpenAI's systems. The AI itself suggested two possible reasons for the stoppage: excessive resource consumption, or OpenAI having previously failed on similar problems and wishing to conserve computational resources. The AI reported its work primarily involved refining plausible ideas into precise, verifiable statements, most of which were subsequently disproven or excluded—effectively creating a map of dead ends rather than a proof. The incident sparked debate online. Some speculated that OpenAI might deliberately restrict public access to its most powerful models to maintain a competitive edge or avoid regulatory scrutiny, rather than allowing users to potentially solve landmark problems. OpenAI researcher Noam Brown countered this, arguing that a user solving a major problem would be tremendous publicity. Others offered technical explanations, suggesting the termination could be due to standard safety mechanisms preventing infinite loops, or even a known bug in the GPT-5.6 Sol version that disrupts long-running sessions. The story highlights the practical challenges, technical limits, and broader strategic questions surrounding the use of advanced AI for open-ended, high-stakes research.

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He Let GPT-5.6 Sol Run for 33 Hours Straight to Tackle Fermat's Last Theorem, Forcibly Terminated by the System

marsbit27 min fa

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