Institutional Shift? Jane Street Turns Toward Ethereum After Reducing Bitcoin ETF Exposure

bitcoinistPublished on 2026-05-16Last updated on 2026-05-16

Abstract

Institutional investors are increasingly shifting focus from Bitcoin to Ethereum, with Jane Street notably reducing its Bitcoin ETF exposure while increasing its stake in ETH. This reflects a broader trend of institutions viewing Ethereum not just as an altcoin but as a distinct macro asset, driven by its growing role in DeFi and tokenization. Concurrently, Ethereum's network recorded its highest realized profits in three weeks, with $74.58 million in profits despite a recent price dip, as earlier accumulators sold into the downturn. On-chain data shows increased transaction volume and distribution activity at around $2,241, suggesting cautious investor sentiment. Analysts advise monitoring for deeper realized losses as a potential bottoming signal before considering aggressive positions.

For long, Bitcoin has remained the major target for institutional investors, but lately Ethereum is turning up strongly on their radars too. Many companies have begun to accumulate the leading altcoin at a significant rate, with some even dumping a portion of their Bitcoin holdings to buy more ETH.

Jane Street Shows Interest In Ethereum

As the crypto sector expands, the market is now experiencing a major shift in institutional investors’ interest. A number of companies are starting to increase their exposure to Ethereum while reducing their exposure to Bitcoin.

Jane Street is changing the way it is exposed to cryptocurrencies by increasing its stake in Ethereum and decreasing its holdings in Bitcoin Exchange-Traded Funds (ETFs). The move is gaining attention throughout the crypto market because it may represent shifting institutional preferences in the market for digital assets.

Deci, a market commentator, stated that Jane Street’s addition of ETH funds and reduction of exposure to BTC ETFs does not automatically make them ETH maximis. However, it does point to a growing and real rotation.

Large investors are becoming more interested in ETH, possibly due to its growing role in Decentralized Finance (DeFi), tokenization, and blockchain infrastructure, even though Bitcoin has long dominated institutional portfolios. According to the expert, institutional investors are beginning to treat ETH less like an altcoin and more like a separate macro asset next to Bitcoin and Gold.

In the expert’s view, BTC was the first digital store of value, but now ETH is becoming the financial infrastructure trade. Such a distinction, he believes, is where the market keeps underpricing the altcoin.

ETH Network Sees A Large Realized Profit Margin

After a brief price rebound, Ethereum has witnessed a surge in realized profits, indicating a shift in market dynamics. On Thursday, Santiment, a market intelligence and on-chain data analytics platform, reported that ETH registered its highest network realized profits in 3 weeks.

This may appear counterintuitive to see a spike of $74.58 million in realized profits because ETH’s price has fallen by 5.5% over the past 3 days. However, this trend is linked to investors’ behavior during the price action. ETH holders with a much lower cost basis are selling into the dip.

While ETH traded below $2,000 throughout much of February and March, savvy traders accumulated despite war fears and heightened uncertainty in crypto at the time. Furthermore, wallets that were collected during those months are still profitable despite this mid-May downturn. Meanwhile, many have chosen to sell while they believe they still have a chance to make money.

Source: Chart from Santiment on X

Santiment also highlighted an increase in the volume of on-chain movement on the Ethereum blockchain. The 4-hour candles exhibit significant price compression at $2,241, indicating increased distribution activity on the chain. Historically, more transactions have led to more realized P&L events. When volume is increased, even little individual profits add up to significant network-level totals.

Based on current ETH trader behavior, Santiment noted that investors are leaning cautious. However, this does not mean new investors should be bearish. Rather, the platform suggests watching for deeper realized losses as a potential bottoming signal and avoiding aggressive positioning until the distribution phase shows clear signs of ending.

ETH trading at $2,265 on the 1D chart | Source: ETHUSDT on Tradingview.com

Related Questions

QWhat significant shift in institutional investment is highlighted in the article regarding Jane Street?

AThe article highlights that Jane Street is increasing its exposure to Ethereum while reducing its holdings in Bitcoin ETFs, indicating a shift in institutional interest towards Ethereum.

QAccording to market commentator Deci, what does Jane Street's move signify about institutional preferences?

AAccording to Deci, while Jane Street's move does not automatically make them 'ETH maximalists,' it points to a growing and real rotation in institutional investment, with Ethereum being treated more as a separate macro asset alongside Bitcoin and Gold.

QWhat on-chain data did Santiment report regarding Ethereum, and why was it considered counterintuitive?

ASantiment reported that Ethereum registered its highest network realized profits in 3 weeks, with a spike of $74.58 million. This was considered counterintuitive because ETH's price had fallen by 5.5% over the preceding 3 days.

QWhat behavior among ETH holders explains the surge in realized profits despite a price drop?

AThe surge in realized profits is explained by ETH holders with a much lower cost basis selling into the price dip. These savvy traders had accumulated ETH when it traded below $2,000 in February and March, so they were still profitable and chose to sell during the mid-May downturn.

QWhat current trader behavior does Santiment note, and what advice does it give to new investors based on this?

ASantiment notes that current ETH investors are leaning cautious. It advises new investors to watch for deeper realized losses as a potential bottoming signal and to avoid aggressive positioning until the distribution phase shows clear signs of ending.

Related Reads

U.S. Government Bans Foreign Nationals from Using Fable 5, Anthropic Issues Rebuttal

U.S. Government Bans Foreign Access to Fable 5, Anthropic Issues Rebuttal On June 12th, the U.S. government ordered AI company Anthropic to immediately suspend all foreign access—including foreign nationals within the U.S. and Anthropic's own foreign employees—to its newly released Fable 5 and Mythos 5 AI models, citing national security concerns. This forced Anthropic to temporarily disable access to both models for all users globally, as it cannot technically differentiate user nationality at scale. The models, released just three days prior, represent Anthropic's highest public capability tier. Fable 5 is the first publicly available model from the advanced "Mythos" family, while Mythos 5 is a less-restricted version for approved cybersecurity and critical infrastructure partners. The government's directive was reportedly triggered by claims from another company that it could "jailbreak" Mythos 5, raising alarm within the Trump administration. Anthropic, in a detailed public statement, strongly challenged this rationale. The company argues the demonstrated "jailbreak" is a narrow, non-generalized technique that merely involves identifying minor, known software vulnerabilities—a capability common to other publicly available models like OpenAI's GPT-5.5 and routinely used by cybersecurity defenders. Anthropic stated it has complied with the order but disagrees with the government's standard, warning that applying it industry-wide would halt all new frontier model deployments. The company criticized the lack of a transparent, fact-based legal process and expressed confidence the situation stems from a misunderstanding. It is working to restore access and will release more technical details within 24 hours. Other Anthropic models remain unaffected.

链捕手16m ago

U.S. Government Bans Foreign Nationals from Using Fable 5, Anthropic Issues Rebuttal

链捕手16m ago

The Revelation from the Raydium Theft Incident: New DeFi Vulnerabilities Lurking in Forgotten Old Contracts

**Raydium Exploit Reveals DeFi's Hidden Risk: Forgotten "Zombie" Contracts** A recent attack on Raydium's deprecated V3 AMM pools resulted in a loss of approximately $1.34 million. The hacker exploited pools that were no longer supported by Raydium's current UI or SDK but remained fully functional and accessible on-chain. This incident highlights a critical, often overlooked category of risk in DeFi: inactive or legacy smart contracts that projects fail to properly decommission. Since March 2025, there have been at least 8 publicly reported attacks targeting such abandoned contracts, with total losses around $10.8 million. Including older pools and deprecated features, the count rises to 10 incidents with roughly $22.5 million in losses. These "zombie contracts" represent a lifecycle management failure rather than a code vulnerability, yet they are typically misclassified under general "code bug" categories in security reports, masking the true scale of the problem. The root cause is that projects often merely document a contract as "deprecated" without taking essential technical steps to secure it: withdrawing remaining assets, disabling external call functions, and implementing ongoing monitoring. These forgotten, under-monitored components become prime targets for attackers. To address this, the industry needs to recognize "zombie contracts" as a distinct risk category and establish standardized decommissioning protocols. Essential steps should include: 1) a formal retirement announcement, 2) removal of all front-end integrations, 3) withdrawal of locked assets, 4) disabling key contract functions, 5) ongoing security monitoring, 6) clear user communication, and 7) a post-mortem analysis. The value of a DeFi project lies not only in its current TVL but also in the security of its historical codebase, which has now become a new attack surface.

Foresight News2h ago

The Revelation from the Raydium Theft Incident: New DeFi Vulnerabilities Lurking in Forgotten Old Contracts

Foresight News2h ago

Robots Begin to 'Consume Data': The Hidden Production Chain from Indian Data Factories to Billion-Dollar Humanoid Robots

Robots have started to 'consume data,' driving the formation of a new industrial supply chain focused on producing training data for embodied AI. Unlike large language models, which are trained on vast internet text corpora, embodied AI models face a 'data desert' in the physical world. This has created a massive demand for first-person perspective video data (Ego Data), captured by workers wearing cameras in places like Indian garment factories. Companies like Neocambrian AI are establishing 'data factories' where workers perform standardized tasks (e.g., sorting clothes, kitchen organization) to generate thousands of hours of video. Research, such as NVIDIA's EgoScale, demonstrates that scaling this human demonstration data predictably improves robot performance, particularly for dexterous manipulation. This has validated a training path combining large-scale human data for pre-training with smaller amounts of robot-specific data for fine-tuning. The value of different data types varies significantly, forming a 'data pyramid.' The base consists of low-cost, large-scale internet and Ego Data. Higher layers include more expensive motion-capture data (e.g., from data gloves), simulation/synthetic data, and the most costly and scarce layer: real robot teleoperation data. This demand has spawned a layered ecosystem of data suppliers: low-cost data factories, motion capture and alignment specialists, robot-native teleoperation service providers, simulation data companies, and platforms aiming for data standardization. Robot companies themselves are adopting a 'layered procurement' strategy: outsourcing generic Ego Data while building in-house capabilities for robot-specific adaptation data and the critical deployment/failure data generated in real-world applications. The industry is shifting focus from hardware and basic mobility to the data pipelines required for general-purpose capability. While parallels exist to data labeling companies like Scale AI in the LLM boom, the physical complexity of robot data—involving action success ambiguity and sim-to-real gaps—requires more integrated solutions for data collection, annotation, and a continuous feedback loop. The race is on to build the data engines that will teach robots to operate reliably in the unstructured real world.

marsbit4h ago

Robots Begin to 'Consume Data': The Hidden Production Chain from Indian Data Factories to Billion-Dollar Humanoid Robots

marsbit4h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ETH (ETH) are presented below.

活动图片