Robinhood收入结构巨变:预测市场收入已超过股票交易

marsbit2026-08-03 tarihinde yayınlandı2026-08-03 tarihinde güncellendi

Özet

Robinhood二季度财报显示,其预测市场业务收入同比暴增超十倍,达1.56亿美元,占交易总收入20%,首次超越股票和加密货币,成为仅次于期权的第二大业务。该业务年化收入已超6亿美元。 分析师指出,预测市场以“是/否”形式押注真实事件(如体育、选举),其即时简单的特性高度契合Robinhood用户喜好,是加密货币的“完美替代品”。收入结构转变明显:2021年迷因股热潮后,加密货币曾为主导,而2024年底美国大选前后预测市场开始崛起,近期世界杯赛事更推动了季度收入高峰。 业务模式上,Robinhood正从与Kalshi合作转向自建。6月,它与Susquehanna合资成立平台Rothera,逐步转移订单以掌控业务,与Kalshi的相互依赖度下降。 行业格局中,Kalshi仍以约330亿美元月交易量居主导,但Robinhood增长迅猛。Coinbase等亦已入局。该领域面临监管不确定性,多州诉讼将其指为非法赌博,而美国商品期货交易委员会则主张将其作为金融衍生品监管。

这家以零佣金起家的券商,正在把赌球和押注大选变成一门大生意。

Robinhood 上周发布二季度财报,预测市场收入同比暴增逾十倍至 1.56 亿美元,占交易总收入的 20%,首次超越股票和加密货币,成为仅次于期权的第二大交易业务。这一变化距 Robinhood 正式进入预测市场不足两年。

这一数字意味着什么?按二季度数据折算,Robinhood 预测市场业务的年化收入已超过 6 亿美元。

Mizuho Securities 股票研究分析师 Dan Dolev 对此直言不讳:「Robinhood 上的用户就是喜欢赌,预测市场正中他们下怀。它是加密货币的完美替代品,因为它能更快地给大脑带来奖励感——你不需要等待。」

从炒股到押注世界杯:用户在追逐什么

预测市场的逻辑很简单:用户以「是 / 否」的形式押注真实世界事件的结果,包括世界杯比赛、选举乃至天气。这种即时、简单的玩法,与 Robinhood 的散户用户群高度契合。

时间线上,Robinhood 的交易收入结构一直随市场热点漂移。2021 年迷因股狂潮期间,股票和期权收入激增;随后加密货币接棒,狗狗币等迷因币带动加密交易收入飙升;直到 2024 年底,加密货币仍是 Robinhood 最大的交易收入来源。

转折点出现在 2024 年美国大选前后。预测市场人气骤升,大量资金涌入押注选举结果。Kalshi 当年获批在美国合法运营,为其他平台跟进铺路。

Robinhood 随即于 2024 年底推出首个事件合约,允许用户押注美国总统大选结果,随后陆续上线体育赛事等品类。

二季度的收入高峰,很大程度上得益于世界杯。Compass Point 股票研究分析师 Ed Engel 在研报中指出,这使得 6 月和 7 月的交易量「异常强劲」。不过他也提到,美国橄榄球赛季将于今秋开启,有望带来新一轮提振。

自建交易平台,与 Kalshi「分家」

Robinhood 最初并没有自己的预测市场交易平台,而是将用户订单导流至 Kalshi,双方按每份合约 2 美分的费用五五分成。

这一格局正在改变。今年 6 月,Robinhood 与 Susquehanna International Group 合资成立了预测市场交易平台 Rothera,并开始将部分订单(包括世界杯相关押注)转移至该平台执行。

费用结构也随之调整。Robinhood 目前向用户收取最高 1 美分 / 合约的费用,另加一笔因执行交易平台不同而有所差异的费用——若订单仍发往 Kalshi,Kalshi 另收 1 美分 / 合约。

结果是两家公司的相互依赖度明显下降。据 Artemis 数据,Robinhood 订单占 Kalshi 交易量的比例,已从去年同期的近 50% 降至今年二季度的 17.5%。

Dan Dolev 认为,使用 Rothera 将让 Robinhood「对预测市场业务拥有更多掌控权」。但他同时指出,由于 Robinhood 需要向用户提供激励,两种模式之间的利润率差异不会太大。

行业格局:Kalshi 仍是老大,竞争者涌入

尽管 Robinhood 势头强劲,Kalshi 在预测市场的主导地位目前仍无人撼动。据 Artemis 数据,Kalshi 今年 6 月的月度名义交易量约为 330 亿美元,Polymarket 为 140 亿美元,而 Rothera(同时为 Robinhood 及部分做市商执行交易)为 21 亿美元。

收入层面,Kalshi 今年 6 月的年化收入已突破 20 亿美元,较去年 11 月增长约三倍。相比之下,Polymarket 近期增速明显放缓。

入局者不止 Robinhood 一家。Coinbase 今年也进入预测市场,二季度该业务年化收入超过 1 亿美元,但具体季度数字未予披露,目前仍属较小玩家。

预测市场的繁荣伴随着监管层面的不确定性。多个州已对预测市场平台提起诉讼,指其以未经注册的赌博应用形式运营。

与此同时,联邦监管机构美国商品期货交易委员会(CFTC)主张对预测市场拥有监管权,将其定性为金融衍生品而非赌博。两种定性之间的法律张力,目前尚未厘清。

İlgili Sorular

Q根据文章,Robinhood第二季度财报中预测市场收入的表现如何?

ARobinhood第二季度财报显示,其预测市场收入同比暴增逾十倍,达到1.56亿美元,占交易总收入的20%,首次超越股票和加密货币业务,成为仅次于期权的第二大交易业务。

Q文章提到,是什么关键事件推动了Robinhood预测市场业务在2024年的转折点?

A2024年美国大选是关键的转折点。预测市场在此时人气骤升,大量资金涌入押注选举结果。同年,竞争对手Kalshi获得在美国合法运营的批准,为Robinhood等平台跟进预测市场业务铺平了道路。

QRobinhood为了在预测市场业务中获得更多控制权,采取了什么重要举措?

A为了获得更多控制权,Robinhood与Susquehanna International Group合资成立了名为Rothera的预测市场交易平台,并开始将部分订单(包括世界杯相关押注)从Kalshi转移至这个自建平台执行。

Q在当前的预测市场竞争格局中,根据文章数据,哪家平台在交易量上仍占据主导地位?

A尽管Robinhood增长迅猛,但Kalshi目前在预测市场交易量上仍占据主导地位。根据Artemis的数据,Kalshi今年6月的月度名义交易量约为330亿美元,远超Polymarket的140亿美元和Rothera的21亿美元。

Q文章指出了预测市场繁荣背后存在什么样的监管不确定性?

A预测市场的监管存在不确定性,主要体现为法律定性上的张力。一方面,美国多个州政府将其视为未经注册的赌博应用而提起诉讼;另一方面,联邦监管机构美国商品期货交易委员会(CFTC)主张将其定性为应受其监管的金融衍生品。这两种不同的定性目前尚未厘清。

İlgili Okumalar

U.S. Bonds, AI, Inflation: You Can't Have All Three – What's Bitcoin Betting On?

Title: U.S. Treasury Bonds, AI, and Inflation: A Trilemma Facing Washington, and Where BTC Fits In Core Thesis: The U.S. government faces a trilemma: stabilizing the Treasury market, sustaining the AI investment cycle, and controlling inflation. The likely political choice is to prioritize the first two, accepting higher inflation for longer. This creates a sustained tailwind for both gold and Bitcoin by injecting liquidity and shifting duration risk away from the private sector. Key Pressures on Treasuries: * Long-term yields (e.g., 10-year ~4.70%) are near multi-decade highs due to persistent inflation risks, high fiscal supply, weaker demand for long duration, and new competition from AI infrastructure financing. * AI investment, requiring massive capital (estimated ~$300B in investment-grade bond issuance), is now competing directly with the Treasury in long-duration debt markets. * Geopolitical tensions (e.g., Iran conflict) add upward pressure on oil prices and defense spending. Policy Response: The Treasury, under Secretary Besant, is focusing on market stability through measures like supporting the Yen (to prevent forced Japanese Treasury sales), increasing repo operations for long-dated bonds, and potentially shifting issuance toward the short end. This "aggressive Treasury issuance" can function like "stealth QE," easing financial conditions. Impact on Assets: * **Gold** has already benefited (up ~90% from Aug 2024 to Aug 2026), driven by declining trust in the USD, inflation fears, and a "monetary debasement" narrative. * **Bitcoin** is now showing stronger correlation with this theme. Recent outperformance vs. gold (BTC +22.2% vs. Gold +5.9% in late Aug) coincided with Treasury's enhanced repo actions, suggesting the market may be pricing it as a liquidity/ debasement hedge, not just a speculative tech asset. Conclusion: If high inflation, large deficits, and AI capital demands persist, the cost of stabilizing bonds and growth will be shorter debt maturity, constant liquidity support, and tolerance for higher inflation—a favorable environment for gold and BTC. This view would be challenged only by a return to ~2% inflation, credible fiscal consolidation, or AI becoming self-funding.

marsbit3 dk önce

U.S. Bonds, AI, Inflation: You Can't Have All Three – What's Bitcoin Betting On?

marsbit3 dk önce

HBM is Being Redefined

HBM is being redefined as AI-driven demand for computing power shifts the performance bottleneck from processing units to memory bandwidth, making High Bandwidth Memory the critical component for advanced AI hardware. At HotChips 2026, Samsung and SK Hynix unveiled new technical roadmaps for HBM4, moving away from the traditional approach of simply increasing DRAM speed and stacking layers. The focus for HBM4 has shifted from DRAM optimization to a comprehensive system-level redesign of the Base Die. Key innovations include upgrading the Base Die to advanced logic processes (e.g., Samsung's 4nm), adopting hybrid bonding for 3D stacking, and exploring heterogeneous packaging solutions like Intel's EMIB alongside the established CoWoS. This marks HBM's evolution from a simple memory component into an integrated system involving "memory + logic + packaging + IP + EDA." This transition brings benefits like better signal integrity, higher I/O bandwidth (up to 2048-bit), and potential for in-memory computing. However, it also introduces significant complexity. DRAM manufacturers now must deeply collaborate with logic foundries, extending design cycles and increasing supply chain challenges. Furthermore, the industry is moving towards multiple advanced packaging paths, with EMIB emerging as an alternative to CoWoS to alleviate capacity constraints, while hybrid bonding is being developed for future ultra-high (16+ layer) stacks. New core barriers have emerged beyond manufacturing. High-speed PHY/SERDES IP, crucial for HBM4's higher data rates, is concentrated among a few established players, creating an entry barrier for smaller firms. Similarly, the industry lacks mature 3D heterogeneous EDA toolchains capable of co-simulating the coupled electrical, thermal, and mechanical effects across the logic base, memory stacks, and interposer. These "soft" capabilities in IP and EDA are now critical determinants of HBM4's performance and yield. In summary, the HBM industry is entering a new era of systemic competition. The standardized approach is giving way to divergent vendor roadmaps, with multiple technologies coexisting. Success will depend on integrated architecture, packaging, process, and ecosystem capabilities, fundamentally reshaping the competitive landscape for AI memory.

marsbit8 dk önce

HBM is Being Redefined

marsbit8 dk önce

The Era of Earning 200,000 from a 3,000 Investment Is Over; AI Comic Dramas Are Not a Get-Rich-Quick Trend

The era of turning 3,000 yuan into 200,000 yuan is over. AI-generated comic dramas are no longer a low-barrier gold rush. A wave of sudden account suspensions has hit creators in AI comic dramas, AI art, and AI tutorials, primarily triggered by new content and copyright compliance rules implemented by Tomato Novel on August 17. This "last straw" exposed the underlying issues: tightening platform rules, rising copyright requirements, increasing costs, and severe content homogenization. The business model was fundamentally unsustainable for most creators. One creator detailed the math: producing five minutes of content daily cost around 510 yuan in AI computing and editing, while a video with 60,000 views might only earn 45 yuan. While a few early viral hits like "Huo Qubing" and "Zombie Cleaner" achieved high returns with minimal investment, they were exceptions. The reality for most solo creators was barely covering costs or operating at a loss. The new regulations mandate formal authorization from original authors for adaptations, limit video length and the amount of原著 content used, and ban terms like "Episode 1" in titles. This directly dismantled the previous "produce first, authorize later" model. Faced with the inability to afford版权 costs and the threat of penalty, many creators chose to halt updates. While some fans expressed frustration, the rules protect original authors who often faced侵权 with little recourse. The shutdowns signal not the failure of AI technology, but an inevitable industry shift from wild growth to regulated refinement. The previous model prioritized quick cash over quality content, leading to formulaic, "AI-face" saturated dramas that audiences grew tired of. The future belongs to creators who use AI as a tool to serve solid storytelling, not replace it. Some are now seeking formal licenses, a slower but necessary process. Upcoming national regulations further underscore this move towards standardization, weeding out those seeking only fast money and making space for genuine creators.

marsbit9 dk önce

The Era of Earning 200,000 from a 3,000 Investment Is Over; AI Comic Dramas Are Not a Get-Rich-Quick Trend

marsbit9 dk önce

İşlemler

Spot
活动图片