21Shares brings new SUI Spot ETF to Nasdaq: ‘The moment is finally here!’

ambcryptoPublished on 2026-02-25Last updated on 2026-02-25

Abstract

Despite a cautious market environment, 21Shares launched the Spot SUI ETF (TSUI) on Nasdaq, enabling traditional investors to gain exposure to Sui (SUI) without direct crypto management. The Sui network demonstrates strong utility, processing $6.5 billion in DEX volume over 30 days and over $100 billion in stablecoin transfers for six consecutive months. Executives highlighted Sui's rapid growth and institutional relevance. The crypto community reacted with excitement and price speculation, though SUI saw only a modest 1.74% gain to $0.8718. 21Shares faces competition from Canary Capital and Grayscale, which recently launched similar ETFs. This expansion into altcoin ETFs signals broader crypto market maturation beyond Bitcoin and Ethereum.

While headlines focus on ETFs bleeding during this phase of fear and caution, companies continue to launch new investment options.

On the 24th of February, 21Shares launched its Spot SUI ETF [TSUI] on Nasdaq, showing that major players are not leaving crypto but actively shifting their focus.

Through this ETF, investors can gain exposure to Sui [SUI] without using wallets or managing private keys, making crypto easier for traditional investors.

What’s so unique about SUI?

The Sui network is designed to handle large volumes efficiently—it has already processed massive amounts of stablecoin activity, showing that it is being actively used and not just hyped.

SUI has recorded around $6.5 billion in DEX trading volume over the past 30 days and handled more than $100 billion in stablecoin transfers for six months in a row.

Data from DeFiLlama supports this trend, although the figure remains below the $22 billion recorded in October 2025.

Still, by launching TSUI at a time when investors are reducing risk, 21Shares indicates that it is looking beyond Bitcoin [BTC] and Ethereum [ETH].

Executives weigh in

Remarking on the same, Duncan Moir, President of 21Shares, said in a press release,

“Sui’s rapid ecosystem growth, technical strength, and institutional relevance were clear to us early on. We are pleased to provide U.S. investors with transparent tools to access this next-generation blockchain.”

Echoing similar sentiments, Evan Cheng, co-founder and CEO of Mysten Labs, the original contributor to Sui, added,

“In a little more than two years, Sui has made significant inroads into payments and cross-border settlement, which has transformed it into one of the world’s most robust onchain economies and attracted the interest of leading institutions like 21shares as a result.”

Crypto community appreciates the launch

As expected, the crypto community also expressed excitement about this news, as noted by an X user who said,

“Sui’s moment is finally here, no cap.”

Some users were also concerned about the price of SUI post the announcement and noted,

“Will this pump $SUI back to $5 by tomorrow morning?”

SUI price action and more

This coincided with SUI trading around $0.8718, showing a modest 1.74% recovery in the last 24 hours. While the ETF launch has created some positive momentum, the overall price action shows that uncertainty is still high.

From a technical perspective, the situation remains mixed. The Relative Strength Index (RSI) is still in the bear zone. At the same time, the MACD indicator is starting to show green histograms.

Is 21Shares the only one in this race?

That said, 21Shares is not the first one to file for the SUI ETF.

After registering a trust in Delaware on the 6th of March, 2025, Canary Capital moved quickly and launched the Canary Staked SUI ETF (SUIS) on the 18th of February, 2026, on Nasdaq.

On the same day, Grayscale also launched its GSUI product. This means TSUI is facing direct competition right from the start.

More importantly, Sui’s entry into the ETF market shows that crypto investing is no longer limited to just Bitcoin and Ethereum.

With S-1 filings coming for assets like Litecoin [LTC], Cardano [ADA], and even memecoins such as Dogecoin [DOGE], TRUMP, Bonk [BONK], and PENGU, the market is clearly expanding.


Final Summary

  • The timing of TSUI’s launch suggests that major firms are preparing for the next crypto cycle, not reacting to short-term fear.
  • Strong on-chain data, including high DEX and stablecoin volumes, suggests that Sui has real usage beyond speculation.

Trending Cryptos

Related Questions

QWhat is the 21Shares Spot SUI ETF ticker symbol and on which exchange was it launched?

AThe 21Shares Spot SUI ETF ticker symbol is TSUI, and it was launched on the Nasdaq.

QAccording to the article, what are two key on-chain metrics that demonstrate the Sui network's active usage?

ATwo key on-chain metrics are over $6.5 billion in DEX trading volume in the past 30 days and handling more than $100 billion in stablecoin transfers for six consecutive months.

QName one competitor to 21Shares that has also launched a SUI-related ETF product.

ACanary Capital launched the Canary Staked SUI ETF (SUIS), and Grayscale also launched its GSUI product, making them direct competitors.

QWhat advantage does the SUI ETF provide for traditional investors, as mentioned in the article?

AThe SUI ETF allows traditional investors to gain exposure to Sui (SUI) without the need to use crypto wallets or manage private keys, making it easier to invest.

QWhat does the launch of ETFs for assets beyond Bitcoin and Ethereum, such as SUI, indicate about the market?

AIt indicates that the crypto investment market is expanding and is no longer limited to just Bitcoin and Ethereum, with filings for a wider range of assets including Litecoin, Cardano, and memecoins.

Related Reads

Wall Street Morning News: V-shaped Rebound at Month-end, but Nasdaq Suffers Worst July in 12 Years; Funds Accelerate Concentration Towards Cloud Giants

Despite a V-shaped rebound at the end of July, the Nasdaq posted its worst July since 2004, while the S&P 500 had its worst July since 2014. Markets were jolted by geopolitical shifts, as President Trump canceled a planned strike on Iran, leading WTI crude to plunge over 8%. This, alongside OPEC+ announcing a supply increase, reversed crude's sharp July gains. Treasury yields surged, with the 10-year yield rising over 30 basis points in July—its largest July increase since 2005. In a rare move, the US and Japan jointly intervened to weaken the USD/JPY, aiming to prevent potential Japanese sales of US Treasuries. While the tech sector faced deleveraging pressure throughout July, cloud giants staged a massive rally on strong earnings. Microsoft, Amazon, and Google collectively added nearly $1.5 trillion in market value last week. Amazon soared over 15% on accelerating AWS growth, Microsoft extended historic gains, Google fully recovered post-earnings losses, and Meta ended an 11-day losing streak. In contrast, Apple tumbled over 7% on supply chain and guidance concerns, ceding its "world's most valuable company" title to Nvidia. The memory and storage sector corrected sharply. Gold edged up 0.91% in July, with analysts viewing the ~30% pullback from January highs as a potential basing period, supported by long-term central bank demand. Key events to watch this week include earnings from Palantir, AMD, SpaceX (its first post-IPO report), and memory giants like Western Digital. The US July non-farm payrolls report on Friday will be critical for gauging the Fed's policy path. SpaceX also faces a significant lock-up expiration, testing market liquidity.

marsbit38m ago

Wall Street Morning News: V-shaped Rebound at Month-end, but Nasdaq Suffers Worst July in 12 Years; Funds Accelerate Concentration Towards Cloud Giants

marsbit38m ago

Rubin Ultra Makes Major Cuts, Even Nvidia Can't Handle Memory Price Hikes?

NVIDIA's Rubin Ultra, the top-tier variant of the newly announced Rubin AI accelerators, has reportedly seen significant specification downgrades, according to an industry report from SemiAnalysis. Initially designed with four compute dies (4-die), the Rubin Ultra is now said to be reduced to a 2-die design. Key changes highlighted in the report include: * **No increase in peak theoretical compute performance**, remaining at 35 PFLOPs like the standard Rubin. * **Severe reduction in memory capacity** to 192GB using 8-Hi HBM stacks, which is less than the standard Rubin's 288GB using 12-Hi stacks. * **Negligible memory bandwidth improvement** of only 1 TB/s. * **Slightly higher chip-level power consumption**. * The **primary upgrade is a massive increase in scale-up interconnect capacity**, supporting connections for up to 576 GPUs via NVLink, compared to 72 for the standard Rubin. The report suggests the redesign is primarily a cost-optimization move driven by the sharp rise in HBM (High-Bandwidth Memory) prices. By reducing the expensive HBM content and shifting investment towards enhanced system-scale networking, NVIDIA aims to maintain the platform's value for large-scale AI training clusters while managing soaring material costs. The news reportedly triggered a sell-off in South Korean memory stocks, with SK Hynix and Samsung shares falling around 8%, as markets grew concerned that NVIDIA—a major HBM buyer—might be reducing its reliance on high-capacity memory, potentially capping future pricing power for memory makers.

Odaily星球日报58m ago

Rubin Ultra Makes Major Cuts, Even Nvidia Can't Handle Memory Price Hikes?

Odaily星球日报58m ago

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

This article introduces a novel training paradigm for generative models called Explorative Modeling (XM), which enables true end-to-end training. Traditionally, powerful generative models like autoregressive and diffusion models are not trained end-to-end. They are trained to predict a single small step but require iterative multi-step sampling for inference. This "exposure bias" leads to error accumulation and limits performance. The core challenge XM addresses is "mode blurring." In generative tasks, a single input (e.g., "generate a dog") corresponds to many valid outputs (multiple modes). Standard training objectives like reconstruction loss force the model to average these modes, producing unrealistic, blurry outputs. To avoid this, existing models break generation into many small, almost deterministic steps, sacrificing end-to-end training. XM tackles this by restructuring the training loop itself. Its key insight is to amplify "generative expressivity." For each training input, instead of generating one sample, the model generates K candidate outputs. Only the candidate closest to the real data is used for computing the loss and updating the model via backpropagation. This simple "best-of-K" mechanism is implemented as a short for-loop. By exploring multiple possibilities, the model learns to distribute its guesses across different modes rather than collapsing to their uninformative average. The paper demonstrates that "exploration" acts as a new, powerful scaling axis. Gains from XM increase with model size, data scale, and compute. Experiments show improvements in FID scores for image generation and significant efficiency gains, sometimes outperforming larger models without exploration. When pushed to the limit, XM enables fully single-step, end-to-end generative models. In robotics tasks, an "Explorative Policy" matched the performance of a 100-step Diffusion Policy with a single forward pass, drastically improving inference speed. While the best-of-K concept is not entirely new, the authors' contribution lies in formally understanding it as a direct method to boost generative expressivity without fragmenting the generation process. This work suggests that as models scale, enhancing exploration during training may become crucial for overcoming fundamental performance bottlenecks.

marsbit1h ago

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

marsbit1h ago

Trading

Spot

Hot Articles

How to Buy SUI

Welcome to HTX.com! We've made purchasing SUI Network (SUI) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy SUI Network (SUI) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your SUI Network (SUI)After purchasing your SUI Network (SUI), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade SUI Network (SUI)Easily trade SUI Network (SUI) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

9.5k Total ViewsPublished 2024.03.29Updated 2026.06.02

How to Buy SUI

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 SUI (SUI) are presented below.

活动图片