Crypto investment products recorded $1.47 billion in outflows last week, extending a second straight week of withdrawals as Bitcoin funds led the decline, according to CoinShares.

Crypto exchange-traded products (ETPs) extended the prior week’s $1.07 billion in withdrawals, CoinShares reported Tuesday.

Bitcoin products accounted for roughly $1.3 billion of the outflows, their largest weekly withdrawal of 2026, while Ether funds lost $223 million, the asset manager said.

Total assets under management in crypto ETPs stood at around $148.7 billion, with Bitcoin funds accounting for 80% with $120.2 billion.

CoinShares head of research James Butterfill said the selling reflected deepening Iran-related risk-off sentiment despite continued progress on the CLARITY Act.

Nine assets post inflows above $1 million

Altcoin ETPs still recorded notable gains despite the broader downturn, with at least nine assets seeing inflows above $1 million, Butterfill said.

XRP (XRP) led altcoin inflows with $31.8 million, while Solana (SOL) followed with $7.7 million.

Separately, data from SoSoValue showed Hyperliquid (HYPE) exchange-traded funds (ETFs) recorded $72.3 million in inflows.

Crypto ETP flows by asset (in millions of US dollars). Source: CoinShares

Smaller inflows were also recorded in Sui (SUI) and Chainlink (LINK), at $600,000 and $400,000, respectively. Short Bitcoin products added $10.2 million, aligning with broader risk-off sentiment.

Related: $1.26B Bitcoin ETF outflows spark ‘contrarian’ buy signal: Santiment

Total assets under management in crypto ETPs stood at about $148.7 billion by the end of the week, with Bitcoin funds making up 80% at $120.2 billion.

Crypto ETP outflows spread globally as US leads losses

Outflows broadened across global crypto ETP markets last week, reversing the prior week’s relative “European resilience,” the report said.

The United States led with $1.43 billion in outflows, including $1.26 billion from US-listed spot Bitcoin ETFs, according to SoSoValue.

Crypto ETP flows by country (in millions of US dollars). Source: CoinShares

More losses were recorded in Switzerland at $16.2 million and Canada at $12.5 million. Hong Kong and Germany also saw outflows of $12.2 million and $4.4 million, respectively.

The Netherlands was the only country to see notable inflows at $6.6 million, while Australia followed with $700,000 of inflows.

Magazine: ETH bears growling, Tom Lee’s buying, XRP to ‘explode’: Market Moves

• RENDER surged 18% to $2.35 on strong volume and activity.
• Wallet growth, open interest, and EMA breakout drive momentum.
• Break below $2.18 support or above $2.50 resistance will define the next price direction.

Render (RENDER) has recorded a sharp upward move, rising about 18.1% in 24 hours to around $2.35 and outperforming the broader crypto market.

The rally is supported by a combination of stronger on-chain activity, rising derivatives demand, and a clear technical breakout that has shifted market momentum in its favour.

Trading activity over the past 24 hours has increased significantly, with volume reaching nearly $295 million, showing that the move is backed by real participation rather than thin liquidity conditions.

On-chain growth and derivatives activity fuel RENDER demand

One of the strongest drivers behind the recent move has been a noticeable increase in network usage.

Daily active addresses have climbed to 394, marking a 12-week high, while new wallet creation has reached 118, also the highest level in the same period.

📈 Render’s on-chain activity has seen a major breakout in late May, jumping back above $2.25 for the first time in over 4 months. Daily active addresses climbed to 394 in a single day with 118 new wallets created, both hitting their highest marks in 12 weeks. These two metrics… pic.twitter.com/gFJAl2ipJj

— Santiment Intelligence (@SantimentData) May 26, 2026

This increase in activity suggests that more users are interacting with the Render network during the price surge rather than after it.

At the same time, derivatives markets have shown a sharp rise in speculative interest.

Open interest has increased by 47%, while derivatives trading volume has surged by 126%, indicating a rapid buildup of leveraged positions.

This combination of higher user activity and rising futures participation has strengthened the momentum behind the rally.

The increase in both on-chain activity and derivatives positioning shows that the move is being driven by both real network engagement and speculative trading demand at the same time, a combination that often leads to faster price expansion phases in crypto markets.

Descending triangle breakout strengthens bullish momentum

The RENDER token price has broken above a descending triangle pattern, a formation that typically signals a shift from downward pressure to upward momentum once resistance is cleared.

In addition, Render’s price is currently positioned above all major daily exponential moving averages, including the 10-day, 20-day, 50-day, 100-day, and 200-day EMAs.

This full alignment of moving averages below the price indicates a strong bullish structure, where each previous resistance zone is now acting as potential support.

Momentum indicators, however, show that the move is already stretched.

The 14-day RSI is reading around 74, placing it in overbought territory.

This RSI level has historically been associated with periods where profit-taking begins to build, especially after sharp short-term rallies.

Market sentiment

Alongside technical and on-chain signals, Render has also gained traction within broader market narratives.

The token is among the top 10 most discussed AI-focused crypto projects, as attention around artificial intelligence (AI) and decentralised compute infrastructure continues to grow.

The AI compute and DePIN (decentralised physical infrastructure networks) narratives have been key themes driving interest in Render, especially as traders rotate capital into projects linked to GPU rendering and distributed computing demand.

This increased attention has contributed to faster inflows during breakout phases, reinforcing the upward price movement.

RENDER price forecast

Looking at the charts, short-term resistance is forming around the $2.37 to $2.38 region, which also represents a near-term pivot zone.

If buying pressure continues and price holds above the breakout support area between $2.17 and $2.18, the next key upside level remains $2.50, which is viewed as the immediate technical target based on recent momentum structure.

However, there is a likelihood of a pullback happening, especially seeing that the RSI is already in the overbought region.

If the correction takes place, a drop below the $2.18 support zone would weaken the current breakout structure and could open the door for a pullback toward the $1.99 to $2.00 range, where previous consolidation has occurred.

Deeper support remains aligned with the broader moving average structure, particularly around the 200-day EMA near $1.93, which continues to define the long-term trend boundary.

A new research paper reframes security for AI-powered agents as a system-wide problem, arguing that protections must extend beyond the model itself to harden the entire workflow. Published in amended form on May 20 by researchers from Google, Gray Swan AI, EmbraceTheRed, and several universities, the work contends that AI agents should be treated as untrusted components within a broader security architecture, warning that focusing solely on model robustness leaves ecosystems vulnerable to attacks and failures.

“Towards this end, we propose viewing agent security as an instance of computer security. This domain has long dealt with powerful attackers and motivated decades of research on principles and techniques that deal with such adversaries,” the researchers wrote in the paper. The framing shifts the emphasis from merely stiffening an agent’s inner workings to protecting the entire chain—from data inputs and instructions to the permissions the agent holds and the destinations data may reach. The authors argue that this systems-oriented stance is especially relevant as AI agents become more embedded in crypto applications, including autonomous trading and wallet interactions.

“Through this lens, efforts to increase model robustness, the dominant viewpoint in the community, are insufficient on their own. Instead, we must complement existing efforts with techniques from the systems security domain.”

The paper notes that AI agents are already gaining traction among crypto users, with industry executives speculating about rapid adoption. Circle CEO Jeremy Allaire, for example, has projected that billions of AI agents could operate on users’ behalf within five years, underscoring the pace at which autonomous tooling could become a standard element of crypto workflows.

Key takeaways

• Security for AI agents should treat the agent as an untrusted component within a larger system, not as a trusted, isolated module.
• Three mechanisms could block a large fraction of attacks: distinguish between instructions and untrusted data, grant only the minimum permissions needed, and control data flows to prevent leakage to unsafe destinations.
• Real-world incidents, including crypto trading bots and wallet interfaces, illustrate how an attacker could exploit AI-enabled tooling if system-wide safeguards are not in place.
• In crypto, AI agents are being used to build applications, automate trades, and interact with protocols, raising the stakes for robust, end-to-end security design.
• Industry voices advocate for context-aware, sandboxed prompts and rigorous governance around what actions an AI agent may perform, especially when wallets or private keys are involved.

Security as a systems problem for AI agents

The core argument of the amended paper is that embedding security solely in the AI model’s robustness is insufficient. Instead, AI agents should be designed and operated as components within a larger, defended system. The researchers emphasize that standard security practice distinguishes between trusted and untrusted components, and AI should be treated as untrusted by design. By doing so, defenders can apply decades of computer security insights to arguments about threat models, adversaries, and defense-in-depth.

As part of this framework, the authors outline three mechanisms that could eliminate a large portion of potential attacks. First, there must be a clear separation between instructions given to an agent and the data the agent processes. By preventing adversaries from embedding malicious instructions within seemingly innocuous data, agents become harder to deceive via data-driven manipulation. Second, agents should operate with the minimum set of permissions necessary for a task, reducing the blast radius if an attacker compromises the agent. Third, the broader system should govern sensitive information flows, restricting where data can travel and ensuring that the agent cannot exfiltrate or redirect data to unsafe destinations.

The paper’s emphasis on data handling and permission discipline aligns with established security principles used to manage risk in other domains. In short, even a highly capable AI agent can be safe if the surrounding system controls are robust and well-defined, and the agent’s ability to act is carefully bounded.

Crypto real-world tensions: incidents and design patterns

The discussion comes against a backdrop of real-world incidents involving AI-enabled crypto tools. In May, the AI-powered trading assistant Bankr reportedly disabled transactions after an attacker gained access to at least 14 wallets, a development that security researchers linked to potential abuse of the bot. While the exact mechanism of compromise remains under discussion, the episode underscores the vulnerability surface when agents are granted operational control over wallets or trading actions.

Industry voices emphasize that the risk is not theoretical. As crypto platforms experiment with AI agents for tasks such as front-running detection, contract auditing, balance checks, and even automated payments, the potential for systemic damage grows if security is not engineered into the entire lifecycle—data ingestion, decision logic, and execution controls.

Aaron Ratcliff, attribution lead at Merkle Science, highlighted the paradox of integrating AI into trustless ecosystems. He told Cointelegraph that giving an agent access to a wallet can be safe if the system enforces strong boundaries and verification. “I’d want proof that the AI can catch front-running, apply slippage limits, spot scam tokens, and audit contracts in real time before it makes a trade. It should also sandbox prompts, prevent injection, and block man-in-the-middle access,” he said.

Sean Ren, co-founder of Sahara AI, agreed that model-context protocols play a crucial role in safety when configured correctly. Yet he cautioned that users must remain vigilant about every action an AI agent performs. “They essentially act as a gatekeeper between the AI model and your wallet. The agent can only perform specific, approved actions—such as checking balances or preparing a payment for you to confirm—rather than freely moving funds or changing wallet settings,” Ren noted.

Implications for Web3 developers and users

The study’s systems-security framing has practical implications for developers building AI-enabled Web3 applications. It suggests a shift in architecture toward explicit permissioning, verifiable data provenance, and enforced data flows that separate the agent’s decision-making from wallet control. For users, the message is one of guarded optimism: AI agents can unlock convenient automation and faster interactions with DeFi protocols, but only within a design that constrains risk through separation of duties, sandboxing, and robust monitoring.

As crypto platforms increasingly explore AI-powered assistants, the debate is likely to pivot from “can we automate more?” to “how can we do so safely?” The emphasis on treating agents as untrusted components may lead to more rigorous security reviews, standardized context protocols, and greater emphasis on prompt governance and prompt-injection defenses in production systems.

Researchers from the collaboration also point to broader industry momentum. The adoption of AI agents in crypto tooling—ranging from trading automation to proactive risk checks and contract analysis—could accelerate if builders adopt a shared safety framework that mirrors established computer-security practices. The outcome could be a crypto ecosystem that leverages AI’s productivity gains while maintaining strong protections against manipulation, leakage, and unintended actions.

Looking ahead, the authors of the study advocate for practical steps that exchanges, wallet providers, and DeFi developers can take now. These include enforcing strict separation of instructions and data, applying the principle of least privilege, and implementing system-level controls that govern where information can go. The overarching aim is to embed a defense-in-depth mindset that scales with increasingly autonomous AI agents, rather than relying solely on model hardening.

For readers monitoring the convergence of AI and crypto, the key takeaway is clear: as autonomous agents become more capable, the design principles governing their operation must evolve. The field is moving toward a holistic security paradigm that treats agents as components within a larger, defendable system, with consequences that reach wallets, trading bots, and on-chain automation alike. The next several quarters are expected to reveal whether the industry can translate this systems-security philosophy into concrete standards, safer defaults, and verifiable safeguards for end users.

Bitwise has launched the Bitwise Canton ETP on Deutsche Börse Xetra, giving European investors exchange-traded exposure to Canton Network’s native token, CC. 

The product trades under the ticker BWCC and carries the ISIN DE000A4ARTH9. In a Tuesday statement, Bitwise said BWCC tracks the Kaiko CANTO Reference Rate LDNLF index and carries a total expense ratio of 0.85% per year. 

The firm added that the ETP is fully backed by CC tokens held in cold storage and can be bought or sold through traditional brokerage accounts without requiring investors to use a crypto wallet.

Canton targets capital markets

Canton Network is a privacy-enabled blockchain built for capital markets. Bitwise said the network was developed with participation from institutions including Goldman Sachs, BNP Paribas, Deutsche Börse, and Broadridge.

The network is designed to let financial institutions issue, trade, and settle assets digitally while keeping sensitive transaction details private. Bitwise said this differs from public blockchains where all activity is visible to all users.

Bradley Duke, Managing Director and Head of Europe at Bitwise, said “The Bitwise Canton ETP is a timely addition to our growing suite of European crypto ETPs.” He added that Canton combines privacy, interoperability, and programmability for institutional compliance needs.

U.S. Canton ETF adds context

The European listing comes weeks after 21Shares launched the 21Shares Canton Network ETF on Nasdaq under the ticker TCAN. As previously reported by crypto.news, TCAN gives U.S. investors exposure to Canton Coin through brokerage accounts rather than direct token custody.

TCAN began with a 0.50% gross expense ratio and an inception date of May 7, 2026. The same crypto.news report said Canton targets institutional settlement, privacy, and tokenized markets, with participation from banks and technology firms.

21Shares said institutions including Goldman Sachs, Microsoft, and Deutsche Bank had participated in Canton-related testing, validator activity, or governance work. 21Shares also said those names should not be treated as endorsements of TCAN, Canton Coin, or the network.

Institutional tokenization push grows

Canton has also gained attention from tokenization-focused investors. crypto.news recently reported that Canton price rallied after Societe Generale’s SG-FORGE deployed its regulated euro and dollar stablecoins on Canton for institutional collateral and repo financing use cases.

The same report said TCAN strengthened regulated access to Canton, while institutional demand helped CC break above $0.16 at the time. crypto.news data showed CC near $0.16 at press time, with a market cap of about $6.23 billion.

The BWCC launch now adds another regulated product for investors seeking exposure to blockchain infrastructure built for financial markets.

Zcash (ZEC) hit $642.18 on May 9, 2026, marking the peak of a 650-1,000% rally from 2024 lows that crowned it the largest privacy coin by market cap, overtaking Monero. The catalysts driving this performance are different in kind from previous Zcash cycles. Grayscale filed Form S-3 to convert its Zcash Trust into the first US spot privacy coin ETF (ticker ZCSH) on NYSE Arca on May 12, 2026. The SEC closed its nearly two-year investigation into the Zcash Foundation on January 15, 2026, without enforcement action, removing the regulatory overhang that suppressed institutional participation for years.

Multicoin Capital disclosed a “significant position” in (ZEC) on May 5, accumulated quietly since February 2024. Approximately 30% of the ZEC supply is now locked in shielded pools, up from 8% in 2024. The November 2024 halving cut inflation from 4% to 2% annually. The FCMP++ upgrade, promising 300% throughput improvement, is targeted for 2026 deployment. The “Privacy is Normal” narrative has shifted institutional perception from privacy coins as evasion tools to privacy coins as essential infrastructure for compliant commercial confidentiality. ZEC is currently trading around $522 after cooling from the May peak.

The honest read is Zcash is one of the more interesting setups in crypto for 2026-2030: real structural catalysts (ETF filing, shielded pool growth, FCMP++ upgrade, SEC clearance), real institutional interest (Grayscale, Multicoin Capital, growing whale accumulation), real risks (ETF approval uncertainty, governance disputes, competitive pressure from Monero and Railgun). This piece walks through actual mechanics, the bull case ($800-$1,800 by 2030), the base case ($400-$700), and the bear case ($180-$350), with the specific variables determining outcome.

Why Zcash is at $522 right now

The current Zcash price reflects a narrative shift that competitors keep missing. Most price prediction articles treat ZEC as just another privacy coin with generic supply-and-demand dynamics. The actual story is more specific and analytically important.

The starting point: ZEC traded around $20 in early 2024, having declined steadily from 2021 highs as the broader crypto market shifted away from privacy coins amid regulatory pressure. Multiple major exchanges delisted privacy coins through 2023-2024 in response to MiCA’s pending deployment in the EU and broader regulatory caution. The Zcash narrative was widely considered structurally damaged.

The rally that produced the current $522 price (and the May peak of $642) wasn’t speculation. It was driven by five specific catalysts arriving in sequence:

The November 2024 halving cut block rewards in half, reducing ZEC inflation from approximately 4% annually to approximately 2%. This is a big deal for a 21-million-supply asset where shielded pool accumulation removes supply from liquid markets. The halving plus shielded growth created the supply dynamics for the subsequent rally.

The shielded pool grew from approximately 8% of total supply in 2024 to approximately 30% of total supply by mid-2026. This is approximately 4.5 million ZEC moved from transparent (liquid) to shielded (illiquid for trading purposes) pools. The shielded pool growth represents both ideological commitment to privacy use and supply reduction in liquid markets. Most analyses treat shielded pool growth as a usage metric. It’s also a supply absorption mechanism comparable in effect to corporate Bitcoin treasury accumulation.

The SEC closed its nearly two-year investigation into the Zcash Foundation on January 15, 2026 without recommending enforcement action. The foundation had received a subpoena in August 2023 related to crypto asset offerings inquiries. The investigation closure removed a regulatory overhang that had suppressed institutional participation for years.

The immediate market response was a 3+ percent rally with ZEC briefly exceeding $427. The longer-term impact was institutional investors gaining confidence that Zcash specifically would not face SEC enforcement.

Multicoin Capital’s position disclosure on May 5, 2026 was the catalyst that triggered the May rally to $642. Co-founder and Managing Partner Tushar Jain disclosed via X that the firm had built a “significant position” in ZEC, accumulated quietly since February 2024. Jain framed the thesis as “a return to the cypherpunk ideals crypto was founded on” and argued that growing government scrutiny of visible crypto holdings makes Bitcoin’s transparent balances increasingly problematic for sophisticated holders. The Multicoin disclosure gave institutional validation that compounded the broader privacy narrative.

Grayscale’s Form S-3 filing on May 12, 2026 to convert its Zcash Trust into a spot ETF (ticker ZCSH) on NYSE Arca represents the first US spot privacy coin ETF filing in history. The trust currently holds approximately 391,103 ZEC ($99.4 million as of March 31, 2026 quarter-end). If approved, the ETF would provide regulated institutional access to ZEC similar to how spot Bitcoin and Ethereum ETFs changed those assets’ accessibility. The filing alone validated the institutional thesis even before approval is decided.

The combined effect of these five catalysts arriving in sequence produced the rally from approximately $20 in early 2024 to the May 2026 peak of $642 (a 30x+ move). The post-peak consolidation to current $522 levels reflects normal post-rally profit-taking and futures market unwinding (futures open interest fell 30% from peak to approximately $1.05 billion) rather than a fundamental thesis breakdown.

What the rally is fundamentally signaling: the “Privacy is Normal” narrative has gained genuine institutional traction. The same regulatory environment that pressured privacy coins in 2023-2024 (MiCA deployment, SEC enforcement concerns) has evolved through 2025-2026 (SEC enforcement pullback under Atkins, CLARITY Act framework, institutional adoption of crypto generally). Privacy infrastructure that was institutionally radioactive 18 months ago is becoming institutionally palatable for specific use cases (corporate confidentiality, regulatory compliance with selective disclosure, protected commercial transactions).

The bull case: $800-$1,800 by 2030

The bull case for Zcash requires specific catalyst conditions and represents the scenario where the “Privacy is Normal” narrative achieves full institutional acceptance.

XRP Ledger, the Layer 1 blockchain that uses the XRP token to facilitate multi-currency transactions, is slated to implement a major maintenance and bug-fixing upgrade Wednesday.

If you run a node, a computer that helps verify transactions on the network, you need update to the latest version by the deadline, or face disconnection from the network entirely. For regular users who just hold XRP in a wallet or on an exchange, you don’t need to do anything.

The upgrade, called the fixCleanup3_1_3 amendment, patches the following key bugs and inefficiencies that have built up over time. Here’s what each one does.

Removing expired NFT offers automatically

On the XRP Ledger, people create and trade non-fungible tokens, or digital collectible and gaming items. When a user lists an NFT for sale, it creates an “offer” on the network.

As of now, if an offer expires or just sits there without anyone accepting it, it stays on the ledger forever, taking up storage space. The impending fix will automatically delete such expired offers. Think of it like a classified ad in a newspaper: once the listing expires, the system tears it up instead of letting it pile up in the archives.

Protecting restricted settings from accidental changes

The XRP Ledger offers “Permissioned Domains,” or controlled environments where only approved accounts can access specific assets, order books, or services and change their special settings.

But, there was a bug where even if a transaction failed, it could still accidentally change these restricted settings.

Enforcing limits on vault withdrawals

The XRP Ledger has “Vaults,” which are secure storage containers for tokens. When you withdraw tokens from a vault to send them to another account, the receiving account has a limit on how many tokens it can accept, called a “trust line limit.” Imagine a bank account that can only hold up to $10,000.

The bug: the system wasn’t checking this limit when processing vault withdrawals. So you could potentially send more tokens than the receiving account could hold. The fix ensures the system now respects these limits, preventing overdrafts.

Fixing loan accounting that wasn’t updating

Like Ethereum or other smart contract blockchains, the XRP Ledger supports decentralized lending, where people can borrow and lend cryptocurrency without a bank.

When a loan gets defaulted or impaired, the system is supposed to update all the related records: the loan itself, the lender’s records, and the vault holding collateral. The process, however, has been buggy sometimes with records not updating correctly and hence, balances got stale.

The impending fix ensures that when a loan’s status changes, all the connected ledger entries update properly. It’s like making sure that when you pay off part of your credit card, both your statement and the bank’s internal records reflect that immediately.

Loan overpayment and safety check for LoanBrokers

If someone tries to overpay a loan that doesn’t allow overpayments, the system now returns a clear “no permission” error (tecNO_PERMISSION) instead of a generic invalid flag. This makes the rejection cleaner and easier for apps and users to understand.

Further, it adds a safety check for LoanBrokers, special entities that handle lending pools, to ensure the “CoverAvailable” amount they advertise exactly matches the actual assets sitting in their protected pseudo-account. This strengthens accounting accuracy and prevents any mismatch that could create confusion or risk in the lending system. CoverAvailable is the first-loss capital deposited to protect lenders if borrowers default.

Slated for activation Wednesday

These measures will be activated on the ledger Wednesday.

Validators and node operators need to upgrade their servers before activation or they’ll get amendment-blocked and fall out of sync. A large portion of the network has reportedlty already updated.

XRP continues to trade between $1.30 and $1.40 for the fourth straight day, according to CoinDesk data.

Quick Overview

• Q1 FY27 earnings arrive Wednesday, May 27, following the closing bell.
• Analyst consensus projects earnings per share of $0.32 (33.3% year-over-year jump) and revenues near $1.32 billion, reflecting approximately 27% growth.
• Shares have climbed 19.3% in the last month but remain down roughly 22% for 2025, trading at $172.02.
• The options market anticipates approximately 13.52% volatility in either direction post-results.
• Analyst community maintains a Strong Buy rating with a mean target of $224.32, suggesting around 30% potential appreciation.

The cloud data warehouse provider approaches Wednesday’s financial disclosure trading at $172.02 — notably beneath Wall Street’s consensus valuation of $224.32.

Snowflake Inc., SNOW

The enterprise data management specialist will unveil its fiscal first quarter 2027 performance after trading concludes on May 27. The Street anticipates revenues around $1.32 billion, translating to roughly 27% annual expansion.

This projection edges out the 25.7% revenue acceleration Snowflake delivered during the comparable period twelve months earlier.

Per-share earnings are forecast at $0.32, representing a 33.3% improvement versus the prior-year quarter.

During the previous reporting period, the company exceeded expectations with $1.28 billion in revenue, marking 30.1% yearly growth. Snowflake also surpassed projections for billings and EBITDA while onboarding 45 additional enterprise clients spending above $1 million per year. This premium customer segment now totals 733.

Despite recent operational strength, the stock has declined approximately 22% since January. Investor concerns center on margin compression from substantial AI infrastructure spending and uncertainty about how autonomous AI agents might disrupt conventional enterprise software models.

Recent weeks have witnessed a recovery, however, with shares advancing 19.3% over the trailing 30-day period.

Wall Street Analyst Perspectives

TD Cowen analyst Derrick Wood maintained his Buy recommendation alongside a $255 valuation target. His channel checks with ecosystem partners indicate robust quarterly performance, fueled by core data warehouse workloads, competitive customer wins, and accelerating artificial intelligence implementation.

Wood is particularly focused on developments surrounding Cortex Code (CoCo), the company’s AI coding agent, and anticipates more significant upside surprises compared to recent quarters.

Benchmark’s Yi Fu Lee elevated his target to $200 from $190 while retaining a Buy stance. Lee projects Snowflake will “highly likely to comfortably” exceed consensus forecasts for product revenue and operational profitability.

Lee anticipates sustained growth momentum from Snowflake Intelligence, Cortex Code, and Observe — three offerings he identifies as catalyzing AI integration across more than 9,000 customer accounts.

Derivatives Markets Point to Substantial Volatility

Options pricing suggests approximately 13.52% movement potential in either direction following the announcement. This exceeds SNOW’s four-quarter average post-earnings swing of 11.85%.

The analyst community maintains a decidedly optimistic stance. The aggregate rating stands at Strong Buy, comprising 28 Buy recommendations and two Hold ratings. The average target price of $224.32 indicates roughly 30% upside from present trading levels.

Comparable companies in the data infrastructure sector provide encouraging context. DigitalOcean delivered 22.4% revenue expansion last quarter while exceeding forecasts by 3.3%. Commvault posted 13.3% growth and beat estimates by 1.6%.

Market sentiment across the category has been constructive, with peer group equities appreciating approximately 10% on average during the past month.