Bitcoin Drops Below $105K as Binance Net Taker Volume Turns Deep Red

Bitcoin Drops Below 5K as Binance Net Taker Volume Turns Deep Red

Bitcoin’s recent rally appears to have paused as the asset declined to just above $104,000 following a 2.1% drop over the past 24 hours. This latest movement signals a potential shift in short-term market momentum, with traders increasingly opting to exit positions.

While the broader cryptocurrency market has experienced similar pullbacks, Bitcoin’s trajectory is attracting closer scrutiny due to its influence on overall sentiment and market structure.

Analysts are looking into how external factors, particularly geopolitical developments, are impacting trading behavior. One such development is the reported military engagement between Israel and Iran on June 13, which triggered sell pressure across high-risk assets, including digital currencies.

Amid these events, key metrics on Binance,  particularly Net Taker Volume, are showing increased sell-side dominance, suggesting short-term volatility may continue.

Binance Net Taker Volume Hits Multi-Week Low Amid Bitcoin Panic Selling

According to on-chain analyst Amr Taha on CryptoQuant’s QuickTake platform, Bitcoin’s Net Taker Volume on Binance fell to -$197 million, the most negative reading since June 6.

This metric, which compares aggressive selling to aggressive buying, indicates heightened urgency among traders to sell at market prices, bypassing limit orders. The seven-hour moving average (7HMA) has remained in negative territory since June 12, reinforcing the current downward pressure.

Historically, such extremes in net taker volume have been linked to local price bottoms, as they often signal panic-induced capitulation by retail and overleveraged traders.

Taha highlighted that a similar event occurred on June 6, followed by a 4% rebound in Bitcoin’s price within 24 hours. The implication is that, while aggressive selling may signal weakness, it also presents conditions that have previously preceded price reversals.

Geopolitical Shock Triggers Liquidation Cascade, May Signal Local Bottom

Taha also pointed to the geopolitical backdrop, specifically the sudden escalation between Israel and Iran, as a major catalyst for recent market behavior. News of the strike led to a surge in liquidation activity, especially among long-leveraged positions.

The correlation between the timing of the conflict and the spike in Binance sell volume suggests that traders are reacting to broader market uncertainty, contributing to downward momentum.

Despite this, Taha still views these conditions as potentially bullish in the medium term. Heavy selling often flushes out weaker hands, creating opportunities for long-term holders or institutional participants to accumulate positions at lower prices.

Taha suggests that while the short-term outlook remains volatile, the current setup resembles previous recovery phases, marked by contrarian buying and reduced selling pressure.

Bitcoin (BTC) price chart on TradingView

Featured image created with DALL-e, Chart from TradingView

0 Shares:
Leave a Reply

Your email address will not be published. Required fields are marked *

You May Also Like
人工智能:重塑加密货币行业 – Kraken Blog Kraken Blog
Read More

人工智能:重塑加密货币行业 – Kraken Blog Kraken Blog

作者:Kraken首席技术官维什努·帕坦卡尔(Vishnu Patankar) 加密货币行业在采用AI方面具有得天独厚的优势 我们的行业以其波动性和七天24小时全天候的动态性而闻名。任何在加密货币领域工作过的人都知道,牛市迅速带来的巨大压力会集中在最核心的功能上,例如:账户注册、客户响应和代币上市。 在这种情况下,招聘流程往往远远无法填补职位的空缺。一部分原因是其他加密货币公司也试图在同一时间招聘同样的人才,另一部分是新员工可能需要几个月的时间,来完成离职通知期,并完全熟悉新的角色和职责。  归根结底,传统的招聘模式无法在最需要的时候填补劳动密集型任务的空缺,而这可能导致高离职率和运营成本的增加。在像加密货币这样初创企业众多的领域,在公司内部大规模地维护所有这些功能并不总是可行的,而且往往会阻碍公司在需要时实现增长和调整。 企业领导者不得不做出妥协,而这些妥协可能会导致随后的失败,或者导致他们在牛市中过度雇佣员工,然后在熊市来临时被迫大幅裁员。 AI为应对这些可扩展性挑战提供了令人信服的解决方案。通过自动化处理重复性任务,例如:回答常见问题、进行文件审查或协助初始招聘工作,AI可最大限度地减少人为错误并促进快速扩展。 Kraken处于AI应用的最前沿 去年年底,我们将AI整合到客户互动运营中,使客户问题的处理效率提高了30%,比以往任何时候都快,同时CSAT分数也很高。 没有了传统招聘流程的时间滞后问题,加密货币公司可以快速部署新的AI助理来管理激增的客户需求,从而轻松调整产能以轻松满足市场需求。  AI在合规领域也表现出色,可处理KYC初始检查并监控平台活动。它能够持续分析庞大的数据集,这意味着它可以检测到可疑活动,并及时向相关团队发出警报。这有助于加密货币公司更好地杜绝非法活动,使加密货币生态系统对市场参与者更加安全。 产品设计涉及用户体验研究(UXR)调查。UXR AI助理可以无缝地进行和总结访谈、情感和关键主题,加快产品开发的生命周期,从而迅速将客户需求的解决方案融入产品中。 创新不会消除人类的工作岗位,反而会创造工作岗位 那么人类会怎样呢?AI的融入并不意味着人类角色的终结,但它确实改变了人类的角色。员工已经开始转向AI模型训练师等角色。AI可以利用数据库回答客户的询问并推荐内容,但确保这些数据库的信息准确性和相关性仍需要人类的专业知识。在这种情况下,AI与人类形成互补关系。  历史上,每当革命性技术诞生——例如:电力、汽车、互联网——总会伴随怀疑的声音。AI也不例外:有些人担心它会取代人类劳动力,因为它表现出类似人类的行为。但我们今天使用的大多数AI,如GPT等语言处理模型,与其说是人脑,不如说是智能手机提示性文本功能的高级版本。 在可预见的未来,拥抱AI并不是要取代人类智能,而是要增强人类智能。AI使加密货币公司能够发展高效运营,快速适应市场变化,将人力资源释放出来,发挥支持创新的作用。这加快了加密货币新应用的开发和采用。还可以创造新的就业机会。…