Asset Manager Canary Capital has filed an S-1 registration statement with the US Securities and Exchange Commission (SEC) to launch an exchange-traded fund (ETF) tied to Axelar (AXL).
This marks the first-ever filing for AXL, the native cryptocurrency that powers the Axelar Network, setting the stage for the token’s institutional adoption.
Canary Capital Files for AXL ETF
The filing, which was submitted on March 5, outlines that the fund’s net asset value (NAV) will be calculated based on the price of AXL. However, specifics regarding the exchange where the ETF will be listed, its ticker symbol, and the custodian remain unspecified.
The proposed ETF builds on Canary Capital’s earlier efforts to bring Axelar to institutional investors. On February 19, the firm launched the Canary AXL Trust. The trust was Canary Capital’s first step into structured AXL offerings, and the ETF filing represents an extension of this effort.
“With Axelar driving some of the most advanced interoperability solutions in Web3, we see in AXL a significant opportunity for institutional investors to gain exposure to the technology underpinning next-generation blockchain connectivity,” Canary Capital’s CEO Steven McClurg said.
The news of the filing had an immediate impact on the market. AXL’s price jumped 14.3%, reaching $0.44.
Trading volume also spiked to $35.7 million. This marked a 131.8% increase from the previous day. With a market capitalization of $405.5 million, Axelar currently ranks 174 on CoinGecko.
Crypto ETFs Under Donald Trump: Opportunity or Bubble?
Canary Capital’s filing comes amid a broader surge in cryptocurrency ETF applications in the US, a trend that has accelerated since Donald Trump took office. According to Kaiko Research, more than 45 crypto ETF filings are currently pending SEC approval.
Nonetheless, according to Kaiko Research, market depth, concentration, and trading structure present significant obstacles for non-BTC/ETH ETFs. Many altcoins associated with ETF applications suffer from shallow liquidity, making them more susceptible to price manipulation and volatility.
Additionally, most trading activity for these assets occurs on offshore platforms, creating transparency and regulatory oversight issues. The lack of sufficient USD trading pairs for certain assets further complicates their inclusion in ETFs, as these pairs are essential for accurate ETF valuations. Furthermore, the absence of regulated futures markets for many cryptocurrencies limits available trading strategies.
“All of these factors could limit the demand for more crypto-related ETFs going forward. While approval processes might change, market dynamics still have to catch up,” Kaiko noted.
For now, AXL has been added to a growing list of crypto ETF filings. However, its success—and that of similar ETFs—remains to be seen.
Bitcoin, the pioneering cryptocurrency, has reshaped how people worldwide perceive finance and money. However, as technology advances and external factors evolve, Bitcoin faces structural challenges that could impact its future existence and growth.
A recent discussion among industry leaders highlighted major risks that could pose a black swan event for Bitcoin’s future.
What Is the Biggest Threat to Bitcoin?
Lyn Alden, founder of Lyn Alden Investment, recently asked, “What is the biggest structural risk to Bitcoin in the next 5-10 years?” This question sparked significant attention and responses from investors, experts, and industry leaders, shedding light on pressing concerns.
One of the most frequently mentioned risks is the threat posed by quantum computing. Nic Carter, general partner at Castle Island Ventures, responded concisely: “Quantum.” His answer received widespread agreement.
“I increasingly agree. That was the catalyst for my thread/question, tbh,” Lyn Alden replied to Nic Carter.
Future quantum computers could break the encryption algorithms securing Bitcoin, such as the Elliptic Curve Digital Signature Algorithm (ECDSA), which safeguards Bitcoin wallets. If a sufficiently powerful quantum computer emerges, it could forge digital signatures, allowing attackers to steal Bitcoin from any wallet with an exposed public key.
According to research by River, a quantum computer with 1 million qubits could crack a Bitcoin address. Microsoft has claimed that its new chip, named Majorana, is paving the way toward this milestone. This raises an urgent question: how much time does Bitcoin have before it must become quantum-resistant?
While the quantum computing threat is apparent, some argue that a more immediate challenge is whether the Bitcoin community can reach a consensus and implement quantum-resistant solutions in time.
“That’d be not coming to a consensus fast enough on the implementation of a quantum-resistant hashing algorithm,” Stillbigjosh, a former cybersecurity expert at Flutterwave, commented.
However, the founder of BlockTower, Ari Paul, pointed out that Bitcoin’s network faces a more immediate risk as attack costs have dropped significantly.
“Someone shorting 10%+ of BTC’s market cap then spending ~1/10th that to gain 51% control of hash power and mining empty blocks indefinitely, effectively turning off the network. Could fork the PoW algo, but just means the attack on the new network now costs <1/1000th the previous one,” Ari Paul noted.
The Risk of Conflict Between Bitcoin’s Decentralized Nature and Regulatory Oversight
Beyond technical challenges, some investors fear that government and institutional involvement will be Bitcoin’s biggest risk in the next 5-10 years.
“Government and institutional involvement changing the incentives of everything,” Investor Shinobi commented.
Bitcoin Holdings by Governments, Corporations, and Financial Institutions. Source: BitcoinTreasuries
Data from BitcoinTreasuries shows that over the past five years, Bitcoin holdings by private companies, public companies, governments, and ETFs have surged more than 12 times, from 210,000 BTC to over 2.6 million BTC. As a result, regulatory intervention could introduce legal pressures or unwanted changes to Bitcoin’s fundamental operations.
“The biggest structural risk is the friction between Bitcoin’s decentralized ethos and the increasing push for centralized regulatory oversight. In essence, as governments and large institutions tighten control and enforce compliance, the network might be forced to compromise on its core principle,” Investor MisterSpread warned.
The discussion sparked by Lyn Alden’s question suggests risks that could trigger black swan events for Bitcoin. It also reflects the growing awareness among industry leaders and investors about Bitcoin’s systemic risks in an era increasingly shaped by political stability and artificial intelligence.
Confidentiality has always been a contentious point in blockchain technology. As public ledgers provide transparency, they often compromise privacy. The drive to reconcile transparency and privacy is at the heart of progress in crypto, and nobody epitomizes this better than Rand Hindi, CEO of Zama.
Hindi and Zama are pioneering the integration of fully homomorphic encryption into public blockchains. BeInCrypto interviewed Rand Hindi at Cannes to discuss Zama’s journey, the mounting investor interest, and the potentially transformative implications of this technology.
Hindi, who leads one of the most acclaimed teams in cryptography, has shepherded Zama to a billion-dollar valuation by focusing on a breakthrough technology that might address some of the sector’s core adoption barriers. The conversation explores how Zama’s protocol operates, the future of confidential payments, and what it means for traditional finance and on-chain scalability.
Hindi shares essential insights on technology’s progression, Zama’s testnet, and the security benefits that go beyond today’s industry standards.
Building Zama: Addressing Privacy Through Homomorphic Encryption
We like to joke that we’re probably the company that raised the most money without anybody understanding what we’re building. The reason for this is because cryptography as a field is very obscure and opaque, but the use cases it enables are very obvious once it actually works.
Zama as a company specializes in something called fully homomorphic encryption, FHE, which is a new encryption technique that allows you to have confidentiality on top of public blockchains. For example, imagine you want to send money confidentially to someone on a blockchain. Today, you wouldn’t. The amount of money you own, the amount you’re sending is public. With our technology, you would actually have that encrypted on chain but still be able to use it as part of any kind of blockchain application.
That is really a radical new proposition, I would say, because up until now, the only way to use a blockchain was to disclose everything to everyone. We’re effectively bridging that gap.
Inside the Zama Protocol and Testnet
When we started a company a few years ago, we focused on licensing our technology to other people. Most people don’t know that nine out of ten blockchain projects that use FHE use Zama technology in the backend.
Now, we are moving to having our own protocol called the Zama protocol that allows you to have confidentiality on top of any blockchain, even those that don’t license our technology directly. So you can have confidentiality on Ethereum, on Base, on Solana, on any really public blockchain.
The ability to have that on a public blockchain means that anybody can now start building apps where the on-chain data stays confidential regardless of which chain they actually want to use to deploy it. So the Zama protocol, like every protocol, has a testnet phase where we effectively launch that and allow developers and users to try it, start building the first apps and use cases ahead of a mainnet launch where it actually goes into production.
Use Cases: Confidential Payments and Beyond
I would say, by far, the biggest use case is confidential payments. If you look at stable coins, you look at global remittances, if you look at payroll, it’s very obvious that if you want to use a blockchain for that, you need to keep data confidential. I mean, if I told you right now to open your phone and show me your bank account, would you? Definitely not a chance.
Okay, there you go. This is what happens in a blockchain because I could see everything you own and do. That makes no sense whatsoever. Once you can encrypt it with homomorphic encryption, then you can start using a blockchain like you use a traditional bank account, like use a traditional credit card for anything from buying your coffee to getting your salary to buying a house. You can do it without other people knowing about it.
That’s one use case. The second one is enabling trading and tokenization of financial assets confidentially. Let’s imagine you are a large financial institution. You’re a hedge fund, you’re a bank. You want to use a blockchain for trading or even for just like, you know, settling some trades with a partner.
If everybody can see your trades and your positions, you’re not going to have much of an advantage in the market. The whole point is to have what we call an alpha, like something, a secret sauce that you don’t reveal. Blockchain today don’t allow you to keep things private. We’re also solving that.
Scaling, Developer Experience, and Security
When we started working on this, there were three main issues. First, it didn’t work. So we had to make the technology work. That’s done. Today, we have the most secure confidentiality technology. It’s even secure against quantum computers. So it’s as secure as it can ever be.
The second problem was it was very difficult to use for a developer. We actually solve that by integrating our technology into existing programming languages for smart contracts, like Solidity, for example, on Ethereum. As a developer, you don’t need to know cryptography to build a confidential application on chain.
And finally, there’s performance. FHE traditionally was very slow. We fixed that through new mathematics, better engineering, but also with better hardware. Effectively, today, scaling FHE and, therefore, scaling global payments on-chain, all these are use cases, is just a matter of putting more compute behind it. If there is one thing we learn from AI, it is that we can throw more compute than it works. We know how to do that. Just put more servers, put more GPUs, it’ll go faster.
So, there’s really nothing preventing homomorphic encryption from becoming the technology that makes it possible to have on-chain finance in a confidential manner.
You can think of it a little bit like, in your browser, when you connect to a website, you have this small lock that tells you that this is encrypted and protected. We’re effectively doing the same thing for blockchain.
Traditional Finance Appetite and Industry Examples
I would say that probably over half of the companies we talk to are financial institutions that are not Web3 native. They all want the same thing. They want to use blockchain because blockchain is the right solution for finance. We all agree on that. That’s established by everybody from Circle to all of these other companies doing that. Confidentiality was the last blocking point for the mass adoption of blockchain for finance.
I’ll give you two examples. We are working with a company right now that is issuing a confidential stablecoin. What it means is, it’s a regular stablecoin, you can use it for payment on chain, but the issuance is confidential, the amounts that you own is confidential, the amount you transfer is confidential, so you can actually use it for payment without having to disclose anything to other people.
That’s one example. Another example is that there is a company building an on-chain self-custodial bank where your money on chain is kept confidential with our technology. We’re talking about something like Revolut, fully on-chain, self-custodial, so even if the bank goes down, you can get back your money because it’s on-chain.
Try to imagine like the first bank that cannot rug you.
Performance, Security, and Cost
Speed-wise, there is going to be almost no difference. It’s not going to slow down the underlying blockchain. The latency is a couple of seconds, a few seconds. You’re probably not going to see it. Just clicking around on an app is going to take longer than that, effectively. So speed is not an issue. Cost is not an issue. At scale, it can be as cheap as about a cent per confidential token transfer.
On like an L2, like base, even in Ethereum, we’re just adding a couple of cents on top of Ethereum gas fees. We’re almost as cheap as the underlying blockchain allows us to be, pretty much. So that’s not an issue. The third one in terms of security we are post-quantum. Even a quantum computer cannot break homomorphic encryption, FHE. That is very important because there are many technologies that are being used today as shortcuts because they’re supposedly more performant.
First of all, that’s not true. But second of all, those technologies have been broken and will be broken going forward. If you want to have the best amount of security, you have to use FHE. There is nothing else that can actually get even closer.
The Road Ahead: Future Developments and Adoption Trajectory
So we’re in testnet now, that’s already big. We’re planning to have our first main net at the end of, let’s say October.
From that point, we’re gonna have other blockchains being supported, and then it’s game on. You know, initially let’s get at least 1% of watching transactions confidential, then 10% and 20%. If we take again the example of HTTPS, in your browser, the small lock protects your data. We’re connecting to the website. It went from 5% of the internet traffic being encrypted in 2010 to 96% now, I believe. We believe FHE will follow a similar type of trajectory where, five, six, or 10 years from now, over 90% of blockchain transactions will be encrypted and confidential with homomorphic encryption.
Conclusion
Rand Hindi’s vision for Zama represents a major leap for both user privacy and institutional confidence in blockchain networks. Fully homomorphic encryption is set to enable confidential apps, payments, trading, and on-chain banking, all without sacrificing security or speed.
As Zama moves from testnet to mainnet, the aim is to make confidential blockchain transactions as common as secure web browsing. Hindi’s conviction is clear—within the next decade, encrypted, private transactions could become the standard, not the exception, across every major blockchain.
XRP’s price performance has remained lackluster since the end of May, trading within a narrow range.
The token continues to face resistance at $2.33 while finding support around $2.08, suggesting a market caught in a narrow range. Without a clear breakout or breakdown, XRP is consolidating, with no strong momentum in either direction.
XRP Sentiment Split as Price Action Remains Sideways
On-chain data reflects XRP’s sideways price action, pointing to market participants lacking conviction. Per Glassnode, the altcoin’s Net Unrealized Profit/Loss (NUPL) shows that XRP’s investor sentiment has been fluctuating between the “Optimism–Anxiety” and “Belief–Denial” zones over the past month.
This trend reflects a divided market: while some traders remain cautiously hopeful, others are skeptical of XRP’s near-term potential.
The NUPL metric reflects the difference between an asset’s current price and the average price at which its coins were last moved. It shows whether holders are, on average, sitting on profits or losses and how significant those are.
When an asset’s NUPL oscillates between the “Optimism–Anxiety” and “Belief–Denial” zones, investor sentiment has been indecisive or unstable. Some days, confidence rises (“belief”), and other days, anxiety creeps back in.
This back-and-forth movement typically happens during uncertain market phases, where price action is volatile and investors are unsure whether the rally will continue or reverse.
Furthermore, XRP’s plunging Average True Range (ATR) confirms the indecision among market participants. At press time, this sits at 0.051.
The ATR indicator measures the degree of price movement over a given period. When it trends downward like this, it often suggests that price fluctuations are narrowing and momentum is weakening.
XRP Awaits Catalyst as Price Tightens Between Key Levels
XRP’s fluctuating sentiment and declining volatility reinforce the narrative of a consolidating market. The altcoin is likely to remain range-bound until a catalyst shifts the trend.
If new demand enters the market, it could trigger a break above the $2.33 resistance level, toward $2.45.