Strategy Watch #3

insights.glassnodeОпубликовано 2026-04-23Обновлено 2026-04-23

Введение

Strategy Watch #3 provides institutional analysis of digital asset fund performance and allocation trends. Key findings show gradual stabilization in capital flows, with Bitcoin and ETH outflows improving from February lows but remaining negative. BTC ETF and DAT flows turned positive mid-March before moderating, while Ethereum flows followed more cautiously. DeFi TVL on Ethereum recovered significantly, nearing neutral by month-end. However, BTC CME basis yield turned negative, eliminating carry trade opportunities. The report also covers performance dispersion among strategies, a deep dive into quant trend following, on-chain vault yields, manager sentiment, and new institutional entries, including a $6B pension fund increasing crypto exposure.

The full report is freely available in PDF format.

Download PDF version

Welcome to Strategy Watch #3

Strategy Watch was built to address a clear demand for high-signal, impartial analysis of fund-level performance and allocation trends in digital assets.

Our objective is straightforward — to make Strategy Watch a must-read monthly publication for the digital asset investment community.

Funds and allocators that contribute data and insights help shape a more complete and valuable view of the landscape. If you have insights, data, or allocation updates worth sharing, we welcome your contribution.

Present your latest initiatives and updates to a curated audience of institutional allocators.

Share updates ↗

Inside the Latest Strategy Watch

The report is structured across six core sections, each focused on a distinct dimension of institutional activity in digital assets:

01 Institutional Flow Monitor | Early stabilization as BTC/ETH outflows improve and ETF demand recovers, but conviction in spot markets remains under pressure.

02 Fund and SMA Performance | Market-neutral strategies delivered consistent gains; directional performance remains highly dispersed.

03 Strategy Deep Dive: Quant Trend Following | What’s driving quant trend performance in a difficult environment for directional strategies? Hear directly from a fund manager.

04 On-chain Vault Performance | Are ETH curators underperforming ETH staking yield?

05 Manager Monitor | Find out how more than 300 managers are expecting the crypto market to perform over the next three months.

06 Allocation Updates | A $6B pension fund increases crypto exposure as new funds and institutional strategies continue to launch.

in partnership with

The Premier Digital Assets Allocator Platform. Learn more


Institutional Flow Monitor

  • BTC and ETH capital flows remained negative through March but continued to recover from February lows, while stablecoin inflows moderated alongside the broader stabilization.

Bitcoin and Ethereum continued to register net outflows through March, with capital flows closing the month at -$7.0B and -$1.6B respectively, a notable improvement from the -$9.6B and -$3.2B readings seen in mid-February. Stablecoin inflows also moderated to +$2.6B by month-end, easing from the +$6.2B peak earlier in March. The overall picture is one of gradual stabilization rather than recovery, with the acute phase of institutional de-risking losing momentum but conviction in spot assets remaining under pressure.

ETF & DAT Net Flows

  • BTC ETF and DAT flows swung decisively positive through March, with ETH channels following at a more measured pace before both eased into month-end.

Bitcoin ETF and DAT flows finally turned positive through March, reaching intra-month highs of +30.6k BTC and +46.8k BTC respectively mid-month before settling back to +17.6k BTC and +30.9k BTC by month-end. Ethereum flows mirrored the directional shift with less intensity, as ETF flows reached +46.6k ETH and DAT flows peaked at +295.9k ETH before easing to +261.9k ETH at close. The mid-month surge followed by minor pullback, suggests demand remains sensitive to wider market conditions, rather than a true sustained structural shift in institutional positioning.

DeFi TVL & Stablecoin Cap

  • DeFi TVL flows on Ethereum staged a significant recovery through March, reversing from peak February outflows to near-neutral territory by month-end.

After registering peak monthly outflows of $17.8B at end of February, Ethereum DeFi TVL flows recovered sharply through March, turning positive in mid-month and closing the period near neutral at -$0.75B. The pace of recovery was notable, with flows moving from double-digit outflows in early March to briefly positive readings around $4.9B by mid-month before settling back. While the trend shift is meaningful, a single month of stabilization is insufficient to declare a reversal of the broader contraction that has persisted since August 2025, and sustained inflows would be required to confirm a genuine return of allocator conviction in on-chain yield strategies.

CME Basis Yield

  • BTC CME basis yield turned negative through March, erasing the carry trade entirely, while ETH basis yield remained subdued but showed tentative signs of recovery by month-end.

Here we measure return available to institutions running cash-and-carry trades. After compressing through February to $17.3M/month, BTC basis yield crossed into negative territory mid-March and closed the month at -$3.9M, reflecting a full inversion of the carry premium. This signals futures are trading at a discount to spot, removing the economic rationale for market-neutral strategies entirely. ETH basis yield, already negative at end of February, oscillated in a narrow range before recovering modestly to +0.9M by month-end. Taken together, the carry environment for both assets remains structurally challenged, with meaningful recovery contingent on a sustained rebuilding of futures premium above spot.


Disclaimer: This report does not provide any investment advice. All data is provided for information and educational purposes only. No investment decision shall be based on the information provided here and you are solely responsible for your own investment decisions.
Exchange balances presented are derived from Glassnode’s comprehensive database of address labels, which are amassed through both officially published exchange information and proprietary clustering algorithms. While we strive to ensure the utmost accuracy in representing exchange balances, it is important to note that these figures might not always encapsulate the entirety of an exchange’s reserves, particularly when exchanges refrain from disclosing their official addresses. We urge users to exercise caution and discretion when utilizing these metrics. Glassnode shall not be held responsible for any discrepancies or potential inaccuracies. Please read our Transparency Notice when using exchange data.

Связанные с этим вопросы

QWhat is the main objective of the Strategy Watch publication?

AThe objective is to make Strategy Watch a must-read monthly publication for the digital asset investment community by providing high-signal, impartial analysis of fund-level performance and allocation trends.

QWhat was the trend in Bitcoin and Ethereum capital flows through March as reported?

ABitcoin and Ethereum continued to register net outflows through March, closing at -$7.0B and -$1.6B respectively, which was an improvement from the -$9.6B and -$3.2B readings seen in mid-February.

QHow did the performance of market-neutral strategies compare to directional strategies?

AMarket-neutral strategies delivered consistent gains, while directional performance remained highly dispersed.

QWhat happened to the BTC CME basis yield in March?

AThe BTC CME basis yield turned negative through March, erasing the carry trade entirely and closing the month at -$3.9M, indicating futures were trading at a discount to spot.

QWhich section of the report discusses the performance of on-chain ETH vaults compared to staking yield?

ASection 04, titled 'On-chain Vault Performance', addresses whether ETH curators are underperforming ETH staking yield.

Похожее

Blocked Its Own Treasure, WeChat AI Steps Up

Tencent's stock surged over 10% on June 2nd amid reports that WeChat, with 1.43 billion monthly users, is finalizing tests for a native AI Agent. The reported feature, accessible by swiping right from the main interface, allows users to issue commands in natural language. The AI then decomposes tasks and automatically calls upon relevant Mini Programs within WeChat to complete actions like ordering food, booking tickets, or making payments, creating a closed-loop service execution system. This strategic shift follows the internal conflict and subsequent "blocking" of Tencent's standalone AI app, Yuanbao, by WeChat for violating sharing rules during a 2026 Spring Festival promotion. The incident highlighted a lack of internal consensus and exposed the weakness of competing in the standalone AI assistant arena against rivals like ByteDance's Doubao (345M MAU) and Alibaba's Qianwen. The new WeChat AI Agent aims to leverage WeChat's unique assets—its massive user base, standardized Mini Program APIs, WeChat Pay, and identity system—to move from simple content generation to actual task execution. Analysts note this changes the competitive landscape from model benchmarks to which AI can connect to more real-world services. However, success depends on key variables: the capability of Tencent's underlying Hunyuan model, managing massive inference costs, and redesigning incentives for Mini Program developers whose traffic might be bypassed. The move is seen as an attempt to keep user service intent within WeChat's ecosystem as AI begins to redefine how users access services.

marsbit35 мин. назад

Blocked Its Own Treasure, WeChat AI Steps Up

marsbit35 мин. назад

ByteDance Adopts Arm CPUs, Jensen Huang: So Sad I Didn't Buy Arm

**Summary:** At Computex 2026, Arm CEO Rene Haas announced that ByteDance and Oracle have adopted Arm's self-designed Arm AGI data center CPU. The company expects significant revenue growth from this product, projecting $20 billion in demand for the 2027/2028 fiscal years. Haas noted that restricting AI-capable CPUs from the US to China is nearly impossible due to their widespread applications. Arm's stock has surged dramatically this year, notably rising 16% after NVIDIA's Arm-based Vera CPU and RTX Spark announcements. A highlight was the informal, humorous on-stage conversation between Haas and NVIDIA CEO Jensen Huang. Huang joked about NVIDIA's failed attempt to acquire Arm and playfully lamented selling his Arm shares. Both executives showed a clear sense of camaraderie and shared regret over the missed merger. Key technical topics were discussed: 1. **AI PC Design:** Huang explained NVIDIA's RTX Spark superchip (with a 20-core Arm CPU) is designed for future AI agents that will autonomously run and use tools on PCs, blending local and cloud processing. 2. **Agent vs. OS:** Huang emphasized the operating system remains crucial, as AI agents rely on its APIs and tools to function. 3. **Growth Constraints:** He identified the shift to "useful AI" that generates profitable tokens as a primary driver for immense, almost limitless, computational demand. Haas outlined Arm's strategy across PC and data centers. For PCs, Arm collaborates with partners like NVIDIA and MediaTek, offering its compute subsystem (CSS) for custom SoCs. In data centers, its Arm AGI CPU (built on TSMC's 3nm process) has gained major partners including OpenAI, Meta, and now ByteDance and Oracle. Arm presented a multi-year roadmap for its in-house CPU line. The article concludes that while GPUs dominated the AI training race, the explosion of AI agents is shifting significant focus to CPUs for inference, state management, and tool orchestration. The industry is trending towards vertical integration, with companies like cloud providers designing chips and chip/IP firms offering full solutions, all competing to deliver more efficient computing per watt.

marsbit56 мин. назад

ByteDance Adopts Arm CPUs, Jensen Huang: So Sad I Didn't Buy Arm

marsbit56 мин. назад

New Wall Street Play: Yen Shorts Still Adding, But Japan Stocks Don't Rely on Carry Trade Unwinding

On June 3rd, USD/JPY hit 160.44, its highest level since July 2024, while the Nikkei 225 surged past 68,000 points. Contrary to popular narratives of an imminent "carry trade unwind" akin to August 2024, data reveals a more complex picture. Speculative net short positions in yen futures have actually increased, reaching -114,667 contracts by late May, suggesting traders are doubling down rather than retreating. Meanwhile, Japan's Finance Ministry conducted its largest-ever single-round FX intervention (11.73 trillion yen) in April-May but failed to hold the 160 yen line. The Nikkei's rally is not driven by carry trade dynamics. Foreign investors are aggressively buying Japanese stocks, with net purchases in 2026 running nearly 16 times higher than 2025 levels. This inflow is concentrated in AI and semiconductor-related stocks like SoftBank and Socionext, fueled by positive sector outlooks, rather than being a flight from unwinding yen shorts. Furthermore, the Nikkei has continued climbing despite the Bank of Japan's (BOJ) rate hikes to 0.75%. This disconnect exists because the current equity boom is fueled by AI-driven foreign investment, not reliant on cheap yen funding. However, this relationship remains fragile. Should the BOJ hike rates further (e.g., to 1.0%) while dollar weakness increases carry trade costs, the trajectories of the yen and Japanese stocks could reconverge, potentially triggering volatility.

marsbit1 ч. назад

New Wall Street Play: Yen Shorts Still Adding, But Japan Stocks Don't Rely on Carry Trade Unwinding

marsbit1 ч. назад

Broadcom's Q3 Guidance Misses Expectations by $12 Billion, After-Hours Trading Plummets Over 13%, AI Narrative "Cooling"?

On June 3, Broadcom released record Q2 FY26 results with revenue of $22.19B, up 48% YoY, and AI chip sales of $10.8B, up 143%. Adjusted EPS of $2.44 beat estimates. However, its Q3 AI semiconductor revenue guidance of $16B, while up over 200% YoY, fell roughly $1.2B (7%) short of analyst consensus expectations of $17.2B. This miss, coupled with slightly weaker-than-expected software revenue, triggered a severe market reaction. CEO Hock Tan maintained the FY26 AI revenue outlook of over $100B but did not raise it, disappointing investors who had priced in more robust growth. The stock plummeted over 13% in after-hours trading, erasing roughly $270B in market cap. The sell-off extended to peers like Marvell. A key concern for markets, particularly for Chinese optical module suppliers, was Tan's comment that the contribution of AI networking (e.g., Ethernet switches, optical interconnect chips) to AI revenue, currently near 40%, is expected to normalize to around 30% over time, signaling a potential peak in growth for that segment. Despite the guidance shortfall, Tan reiterated that AI demand remains "insatiable" and reaffirmed the long-term target of exceeding $100B in AI revenue by FY27. The reaction highlights the heightened sensitivity and premium valuation placed on AI-exposed stocks, where anything less than stellar guidance can prompt significant profit-taking. The broader question is whether this represents a cooling AI narrative or a correction in overstretched valuations.

marsbit1 ч. назад

Broadcom's Q3 Guidance Misses Expectations by $12 Billion, After-Hours Trading Plummets Over 13%, AI Narrative "Cooling"?

marsbit1 ч. назад

Торговля

Спот
Фьючерсы
活动图片