Crypto Market Sentiment Plunges To 1-Month Lows, What Lies Ahead?

newsbtc发布于2022-08-25更新于2022-08-25

文章摘要

The crypto market sentiment had been on the rise at the start of August, but as the month draws to a close, a market crash has dragged it back to...

The crypto market sentiment had been on the rise at the start of August, but as the month draws to a close, a market crash has dragged it back to August levels. The Fear & Greed Index had previously reached a local peak of 42 when the price of bitcoin had recovered to $25,000. However, since then, the downtrend has been on a decline back into the Fear territory.
Fear & Greed Index At Mostly Lows
The Crypto Fear & Greed Index has declined to a score of 25. This puts it dangerously close to falling back into the Extreme Fear territory. Now, the reason that market sentiment is so important to gauge is it can tell exactly how investors are feeling towards the market as a whole.
Take a score below 20 on the Fear & Greed Index. This means that the market is in extreme fear. At times like these, investors are extremely wary about the market, and there is not a lot of money flowing. This inadvertently leads to lower prices because there is not enough demand to meet supply.

Crypto total market cap chart on TradingView.com


Total market cap above $1 trillion | Source: Crypto Total Market Cap on TradingView.com
Since the score is currently at 25 when it was 28 the previous day, it means the market is getting more fearful with each passing day. The last time it was this low was back at the beginning of July, and one thing that characterized the beginning of July was the low market prices.
What The Crypto Market Holds
It is always interesting to see how the market follows investor sentiment and vice versa. Since the score has gotten so low, historically, data tells us that it is likely to continue this way for a while before there is a recovery. Normally, there is hardly a time where the Fear & Greed Index touches a score of 25 that it does not continue down into extreme fear territory before any type of recovery is seen.
If this is the case, then it is likely that the crypto market will lose more value in the coming days. A correlation between the present market and investor sentiment falling further into extreme fear would see bitcoin price likely touch below $20,000 and the overall market cap at around $850 billion.
This follows the wariness that investors had towards the market earlier in the year, even when the prices were rallying. Data from Glassnode shows that bitcoin investors did not increase their volumes during the recovery like they normally would.
For now, there is an air of caution resting heavily on the crypto market. The bear trend was expected to continue as it had done in previous bear markets, but the recovery had caught most of the market off-guard. Most believed it to be a bull trap, hence taking a rather hands-off approach to the rally.

你可能也喜欢

英特尔 CEO 陈立武首次播客访谈:我们的目标是“5-10 年 10 倍”,押注先进封装、玻璃基板和人工钻石

英特尔CEO陈立武在接受播客访谈时,提出了“5-10年实现10倍回报”的股东回报目标,并系统阐述了其领导下的转型战略。面对传统工艺微缩接近物理极限的挑战,他将突破点聚焦于先进封装技术(如EMIB)、新型基板材料(如玻璃基板)以及氮化镓、碳化硅和人工合成钻石等半导体新材料,旨在通过材料科学与封装创新延续性能增长。 陈立武将转型过程分为“爬、走、跑”三个阶段。目前英特尔处于夯实基础的“爬行”阶段,首要任务是稳固资产负债表、聚焦简化产品线、并倾听客户需求。他特别指出,智能体AI和推理场景的爆发正带动CPU需求强劲回升。 在代工业务方面,他强调这是一门“信任的生意”,核心是提升良率、缺陷密度和周期时间等基础能力,以服务客户并保障美国本土供应链安全。他同时透露,与埃隆·马斯克合作的Terafab项目进展顺利,双方正共同应对AI算力增长带来的半导体基础设施挑战。 陈立武认为,市场目前低估了英特尔的长期潜力。他预计到2030-2032年,外界将真正看到其在PC基本盘之外,于边缘计算、物理AI与智能体AI等新兴市场的价值。通过整合XPU(混合架构)、先进封装与代工能力,为不同工作负载提供定制化芯片解决方案,是其为英特尔锚定的长期战略方向。

marsbit47分钟前

英特尔 CEO 陈立武首次播客访谈:我们的目标是“5-10 年 10 倍”,押注先进封装、玻璃基板和人工钻石

marsbit47分钟前

AI 成绩单背后,藏着一位华人“出题人”

AI领域重要的基准评测MMLU-Pro、MMMU、MMMU-Pro背后,都站着同一位“出题人”——加拿大滑铁卢大学助理教授陈文虎。 随着大语言模型能力快速提升,旧的评测基准如MMLU逐渐“失灵”,顶尖模型得分趋近满分,难以区分高下。为此,陈文虎团队于2024年推出MMLU-Pro。它通过将选项扩至10个、增加推理题比例、剔除简单题等方式,使模型准确率相较旧基准显著下降16%-33%,成绩波动更小,有效拉开了模型间的真实差距。 在多模态评测方面,陈文虎团队推出的MMMU基准包含1.15万道需结合图像与专业知识的复杂题目,即便是当时最强的GPT-4V和Gemini Ultra准确率也未超过60%。后续的MMMU-Pro则进一步堵住模型仅凭文本猜答案的漏洞,强制其进行真正的多模态理解。 陈文虎的研究方向长期聚焦于复杂信息理解与推理。他曾于谷歌DeepMind参与Gemini多模态模型的研发与评估工作,这让他深谙模型能力增长路径与评估盲区。他创立的“老虎实验室”不仅做评测,也研发视频理解与生成等模型,这种“既做题也出题”的经历,使其能更精准地设计出触及模型能力边界的评估体系。 如今,陈文虎已加入Meta超级智能实验室,继续专注于多模态预训练与评估工作。他的故事反映了在AI浪潮中,众多华人研究者正深度参与并塑造着行业发展的核心基础工作。

marsbit3小时前

AI 成绩单背后,藏着一位华人“出题人”

marsbit3小时前

交易

现货
合约
活动图片