Robinhood的融资客户达到2400万,交易量和资产激增超过50%

币界网Publicado em 2024-08-15Última atualização em 2024-08-15

币界网报道:

Robinhood Markets(纳斯达克股票代码:HOOD)发布了2024年7月的月度运营数据,显示了多个关键指标的强劲增长,尤其是与去年同期相比。该公司以其免佣金交易平台而闻名,继续扩大其在金融科技领域的用户群和财务足迹。

Robinhood 7月份AUC增长53%,超过分析师预期

Robinhood报告称,截至7月底,共有2420万名融资客户,比上个月增加了约7万名,比去年同期增加了100多万名。客户群的稳步增长突显了该平台对散户投资者的持续吸引力。

托管资产(AUC)达到1445亿美元,比2024年6月增长3%,同比增长53%。7月份的净存款总额为42亿美元,相对于2024年6月的AUC,年化增长率为36%。在过去的12个月里,净存款达到358亿美元,与2023年7月的AUC相比,年增长率高达38%。

所有资产类别的交易量也大幅上升。股票名义交易量飙升至1044亿美元,比6月份增长21%,同比增长51%。期权合约交易量达到1.605亿份,环比增长22%,同比增长50%以上。加密货币交易量也显示出强劲的势头,达到53亿美元,比6月份增长23%,比上一年增长56%。

该公司还报告了其他关键领域的增长。保证金余额增至54亿美元,较6月增长8%,同比增长59%。现金结算余额总额达到218亿美元,比上月增长4%,比去年同期增长72%。与6月份相比,证券借贷收入稳定在2100万美元,但同比增长24%。

移动和收入

该公司一直在积极扩大其全球足迹,在英国和部分欧洲市场推出了引人注目的产品。

为了增强其技术能力,Robinhood任命Jeff Pinner为新任首席技术官。Pinner在Cruise和Lyft任职期间积累了宝贵的经验,预计他将在加快产品开发、优化基础设施和提升整体客户体验方面发挥至关重要的作用。这一任命突显了Robinhood对技术进步的关注,这是其未来成功的关键驱动力。

同时,该公司任命David Schwed为经纪部门的首席信息安全官,加强了其安全领导力。Schwed曾担任网络安全首席运营官兼顾问。网络安全是一个笼统的术语,指的是保护计算机系统和网络免受盗窃。更广泛地说,网络安全还可以代表针对硬件、软件或电子数据损坏的对策,以及针对其提供的服务中断或误导的对策。不久前,网络安全一词还不存在,因为它在1989年首次使用。在今天的白话中,网络安全是指为保护计算机或计算机而采取的措施。网络安全是一个总括性术语,指的是保护计算机系统和网络免受盗窃。更广泛地说,网络安全还可以代表针对硬件、软件或电子数据损坏的对策,以及针对其提供的服务中断或误导的对策。不久前,网络安全一词还不存在,因为它在1989年首次使用。在今天的白话中,网络安全是指为保护计算机或计算机而采取的措施。阅读本术语,Halborn公司在保护金融平台免受不断变化的网络威胁方面拥有丰富的经验。

在财务方面,Robinhood报告了2024年第二季度令人印象深刻的业绩。该公司实现了破纪录的业绩,总净收入达到6.82亿美元。这一强劲增长主要是由于基于交易的收入大幅增加以及其高级服务的订阅量激增。

金融科技金融科技(fintech)被定义为一种旨在自动化和增强金融服务交付和应用的技术。金融科技一词的起源可以追溯到20世纪90年代,当时它主要被用作知名金融机构的后端系统技术。然而,自那以后,它在商业部门之外发展壮大,越来越关注消费者服务。金融科技服务的目的是什么?金融科技的主要目的是提供金融技术(fintech),金融技术被定义为一种旨在自动化和增强金融服务交付和应用的技术。金融科技一词的起源可以追溯到20世纪90年代,当时它主要被用作知名金融机构的后端系统技术。然而,自那以后,它在商业部门之外发展壮大,越来越关注消费者服务。金融科技服务的目的是什么?金融科技公司的主要目的是为Read提供资金。本期公司的盈利能力也有了实质性的改善,净收入增至1.88亿美元,相当于每股摊薄收益0.21美元。这标志着与去年同期报告的2500万美元或每股0.03美元相比有了显著增长。这些财务业绩反映了Robinhood将其不断增长的用户群货币化并有效实现收入来源多样化的能力。

Leituras Relacionadas

From Theft to Re-entry: How Was $292 Million "Laundered"?

A sophisticated crypto laundering operation was executed following the $292 million hack of Kelp DAO on April 18. The attack, attributed to the North Korean Lazarus group, began with anonymous infrastructure preparation using Tornado Cash to fund wallets untraceably. The hacker exploited a vulnerability in Kelp’s cross-chain bridge, stealing 116,500 rsETH. To avoid crashing the market, the attacker used Aave and Compound as laundering tools—depositing the stolen rsETH as collateral to borrow $190 million in clean, liquid ETH. This move triggered a bank run on Aave, causing an $8 billion drop in TVL. After consolidating funds, the attacker fragmented them across hundreds of wallets to evade detection. A major breakpoint was THORChain, where over $460 million in volume—30 times its usual activity—was processed in 24 hours, converting ETH into Bitcoin. This shift to Bitcoin’s UTXO model exponentially increased tracing complexity by shattering funds into countless untraceable fragments. The final destination was Tron-based USDT, the primary channel for illicit crypto flows. From there, funds were cashed out via OTC brokers in China and Southeast Asia, using unlicensed underground banks and UnionPay networks outside Western sanctions scope. Ultimately, the laundered money supports North Korea’s weapons programs, which rely heavily on crypto hacking for foreign currency. The incident underscores structural challenges in DeFi: its openness, composability, and lack of central control make such laundering not just possible, but inherently difficult to prevent.

marsbitHá 12m

From Theft to Re-entry: How Was $292 Million "Laundered"?

marsbitHá 12m

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

In a span of four days, Amazon announced an additional $25 billion investment, and Google pledged up to $40 billion—both direct competitors pouring over $65 billion into the same AI startup, Anthropic. Rather than a typical venture capital move, this signals the latest escalation in the cloud wars. The core of the deal is not equity but compute pre-orders: Anthropic must spend the majority of these funds on AWS and Google Cloud services and chips, effectively locking in massive future compute consumption. This reflects a shift in cloud market dynamics—enterprises now choose cloud providers based on which hosts the best AI models, not just price or stability. With OpenAI deeply tied to Microsoft, Anthropic’s Claude has become the only viable strategic asset for Google and Amazon to remain competitive. Anthropic’s annualized revenue has surged to $30 billion, and it is expanding into verticals like biotech, positioning itself as a cross-industry AI infrastructure layer. However, this funding comes with constraints: Anthropic’s independence is challenged as it balances two rival investors, its safety-first narrative faces pressure from regulatory scrutiny, and its path to IPO introduces new financial pressures. Globally, this accelerates a "tri-polar" closed-loop structure in AI infrastructure, with Microsoft-OpenAI, Google-Anthropic, and Amazon-Anthropic forming exclusive model-cloud alliances. In contrast, China’s landscape differs—investments like Alibaba and Tencent backing open-source model firm DeepSeek reflect a more decoupled approach, though closed-source models from major cloud providers still dominate. The $65 billion bet is ultimately about securing a seat at the table in an AI-defined future—where missing the model layer means losing the cloud war.

marsbitHá 6h

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

marsbitHá 6h

Trading

Spot
Futuros
活动图片