Odos shuts down July 30 as DeFi aggregator ends all services
Uniswap introduced Permissioned Pools for v4, enabling compliant AMM trading for tokenized funds, securities, equities, and other regulated assets.
The post Uniswap unveils permissioned pools for tokenized funds and equities appeared first on Crypto Briefing.


When confidence disappears, even the biggest crypto platforms can unravel faster than most people expect.
One of the biggest lessons from the past few years in crypto is that an exchange doesn’t always fail because it has run out of money. Sometimes, it fails because everyone believes it will.
Imagine waking up to news that your preferred platform may be facing financial difficulties. Within minutes, social media is flooded with rumours. Thousands of users begin withdrawing their funds. Others follow – not because they know the platform is insolvent, but because they fear being the last person left if it is.
This chain reaction is known as a depositor run, or more commonly, a crypto bank run.
We’ve seen it happen with platforms like Celsius, Voyager Digital, and most famously, FTX. These events demonstrated that confidence is one of the most valuable – and fragile – assets in the entire cryptocurrency industry.
So why do depositor runs happen, and why are crypto platforms particularly vulnerable?
A depositor run occurs when a large number of customers attempt to withdraw their funds from a financial institution at the same time because they fear their assets may no longer be safe.
Traditional banks have faced depositor runs throughout history. Cryptocurrency platforms face the same challenge, but the risks are often amplified.
Unlike most banks, centralized crypto exchanges generally do not benefit from government-backed deposit insurance. Once confidence begins to erode, customers can often withdraw their assets instantly, placing enormous pressure on the platform’s available liquidity.
The painful irony is that a platform that might have survived under normal conditions can become insolvent simply because too many people tried to leave at once.
Most centralized cryptocurrency exchanges and lending platforms act as custodians, holding digital assets on behalf of millions of users.
While customers often assume their assets remain untouched, some platforms use part of those deposits to support lending, provide liquidity, or facilitate leveraged trading.
This can improve capital efficiency, but it also means that not every deposited asset is immediately available for withdrawal at the same time. The model resembles fractional reserve banking, where institutions do not hold every customer’s deposit in liquid form.
As long as withdrawals happen gradually, the system generally functions smoothly. Problems arise however when everyone wants their money back at once.
Several factors can quickly undermine confidence in a cryptocurrency platform.
Trust depends heavily on transparency. If users cannot verify whether an exchange actually holds sufficient reserves, rumours can spread rapidly.
The collapse of FTX in 2022 illustrated this risk dramatically. What initially appeared to be a liquidity problem ultimately exposed an estimated US$8 billion shortfall in customer assets, triggering one of the largest withdrawal waves in crypto history.
Sharp declines in cryptocurrency prices can reduce the value of assets held by exchanges and lending platforms. During the 2022 crypto market downturn, platforms like Celsius Network and Voyager Digital faced intense withdrawal pressure as falling prices weakened their financial positions and eroded user confidence.
Many crypto businesses are deeply interconnected. When one major firm experiences financial distress, the effects tend to spread.
The collapse of Three Arrows Capital exposed this vulnerability. Several lenders and exchanges with significant exposure to the hedge fund suffered substantial losses, forcing some to suspend withdrawals and intensifying fears across the broader market.
Confidence can disappear overnight if users believe a platform is no longer secure. Exchange hacks, smart contract vulnerabilities, cybersecurity breaches, or governance failures can all trigger sudden withdrawal requests – even when customer assets have not actually been compromised.
Legal uncertainty can also fuel panic. Where regulations are weak or customer protections are unclear, users often have little assurance about what happens if an exchange becomes insolvent. Without clear rules governing custody, reserve management, or asset segregation, rumours can quickly become self-fulfilling.
The failures of several major platforms forced the industry to rethink transparency.
One notable development is the introduction of Proof of Reserves – a system that allows exchanges to demonstrate they hold certain customer assets on-chain. Many platforms now use cryptographic techniques such as Merkle Trees to improve reserve verification.
However, Proof of Reserves has limitations. Showing assets alone does not reveal a platform’s liabilities. An exchange may demonstrate substantial reserves while still owing customers more than it actually holds. For this reason, many experts argue that Proof of Reserves should be complemented by independent audits, clear financial disclosures, and stronger governance.
Regulators have also begun introducing more comprehensive rules covering customer asset segregation, custody standards, reserve management, and capital requirements to reduce the likelihood of future depositor runs.
No financial system can eliminate the risk entirely but several measures can significantly reduce the likelihood and severity of a depositor run: maintaining adequate liquid reserves, publishing transparent reserve and liability disclosures, segregating customer assets from company funds, strengthening corporate governance and risk management, and complying with prudential and regulatory standards.
For users, many in the crypto community embrace the principle: not your keys, not your coins.
This reflects the idea that assets held in a personal wallet remain under the user’s direct control rather than depending on a centralized custodian. That said, self-custody comes with its own responsibilities – including securely managing private keys and protecting against theft or accidental loss.
A depositor run affects far more than the platform at its centre.
When one major exchange suspends withdrawals or collapses, fear often spreads across the wider market. Investors rush to exit other platforms, stablecoins come under pressure, lending slows, and prices can decline sharply.
This contagion effect reveals how deeply interconnected the cryptocurrency ecosystem has become.
As the industry matures, maintaining trust is no longer simply a matter of technology. It increasingly depends on sound governance, effective risk management, and transparent operations.
Cryptocurrency was created to reduce reliance on traditional financial intermediaries. Yet as centralized exchanges became the primary gateway to digital assets, they also reintroduced one of finance’s oldest risks: the loss of confidence.
The collapses of Celsius, Voyager, and FTX showed that even in a blockchain-based financial system, trust remains indispensable.
Today, the focus is now on whether crypto platforms can build and maintain the trust needed to endure uncertain times, rather than just attracting users.
Depositor runs are not just about liquidity. They are about trust. And in both traditional finance and digital finance alike, confidence remains the foundation on which every financial system is built.
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Why Crypto Exchanges Collapse: Understanding Depositor Runs in Cryptocurrency Platforms was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
The Hyperliquid HIP-4 upgrade comes at a time when Hyperliquid has already established itself as one of the world’s largest decentralized derivatives exchanges, holding around 36.6% of global on-chain perpetual futures trading while controlling over half (53.8%) of the total open interest across on-chain perpetual markets as of June 2026.
So what do you think is the reason behind its significant HIP-4 update?

The answer is simple: Hyperliquid aims to expand beyond perpetual trading by introducing decentralized prediction markets, creating an entirely new way to trade on-chain with the Hyperliquid HIP-4 upgrade.
Imagine a decentralized exchange where you not only trade perpetuals but also bet on real-world outcomes…all without leaving the same order book. That’s the promise of Hyperliquid’s HIP-4!
If you’re new to the DEX world and didn’t understand what I’m talking about, Don’t worry! Let’s start with fundamentals. Read on to find out what this new advancement really is.
Hyperliquid is a high-performance Layer 1 blockchain purpose-built to power a decentralized perpetual futures exchange. It allows users to trade cryptocurrencies with leverage while maintaining self-custody of their assets, eliminating the need to deposit funds with a centralized exchange. The platform is designed to deliver fast order execution, low transaction fees, and deep on-chain liquidity, creating a trading experience similar to centralized exchanges.
Hyperliquid also supports advanced trading features such as limit orders, perpetual contracts, and real-time market data. Its transparent, on-chain architecture and growing ecosystem have made it one of the leading decentralized exchanges for perpetual futures trading.
HIP-4 (Hyperliquid Improvement Proposal 4) is a major protocol upgrade that enables outcome markets on Hyperliquid. Instead of trading only perpetual futures, users can trade fully collateralized YES/NO contracts tied to real-world events, cryptocurrency price targets, economic indicators, or other verifiable outcomes. Once an event is resolved, each contract settles to a fixed outcome according to the protocol’s predefined rules.
By bringing prediction market functionality directly onto Hyperliquid’s high-performance Layer 1 blockchain, Hyperliquid’s HIP-4 expands the platform beyond traditional crypto trading into decentralized prediction markets.
Here’s how decentralized prediction markets operate from event creation to settlement.
Now that you understand how decentralized prediction markets work, what exactly does the Hyperliquid HIP-4 upgrade bring to the table? Let’s break down its standout features.
Every protocol claims to innovate, but meaningful innovation lies in the details. A single feature doesn’t define HIP-4 — it combines multiple protocol-level improvements that reshape prediction markets. Here’s a closer look at the features powering the upgrade.

Outcome Contracts — HIP-4 introduces Outcome Contracts, allowing traders to speculate on whether a predefined event will occur by taking either a YES or NO position. Instead of tracking continuous price movements, contract prices represent the market’s collective expectation of an event’s outcome.
USDH-Based Settlement — All contracts settle exclusively in USDH (U.S. dollar-pegged stablecoin), Hyperliquid’s native stablecoin. Using a single settlement asset simplifies collateral management, portfolio valuation, and liquidity across every prediction market.
Fully Collateralized & Risk-Defined Trading — All outcome contracts require complete collateral before execution, ensuring every position is fully supported from the time it is opened. This also reduces systemic risk during periods of market volatility.
CEX-Like Trading Experience — HIP-4 presents a familiar trading environment with low-latency execution and efficient order matching, enabling decentralized prediction markets to deliver an experience similar to centralized exchanges.
Collective Market Intelligence — Market probabilities are shaped by the combined insights and expectations of participants, creating a dynamic consensus that evolves as new information becomes available.
Unified Trading Infrastructure — Outcome Contracts are built directly into Hyperliquid’s trading ecosystem, allowing users to access prediction markets and perpetual futures from a single platform without transferring assets or switching applications.
Binary Settlement Model — Outcome contracts resolve with a fixed payout of either 1 USDH for a successful prediction or 0 USDH if the event does not occur. This fixed payoff structure makes potential profits and losses easy to understand before entering a trade.
HyperCore Integration — Rather than relying on a separate execution layer, HIP-4 runs natively on HyperCore, which is Hyperliquid’s underlying architecture, allowing prediction markets to leverage the same high-performance matching engine and trading infrastructure that powers Hyperliquid’s perpetual futures exchange.
Isolated Margin Framework — Every Outcome Contract uses a fully collateralized 1× isolated margin model, ensuring collateral assigned to one market remains separate from other positions and simplifying portfolio risk management.
Opening Price Auction — Every newly created market begins with a single-price opening auction that establishes an initial fair market value before continuous order book trading starts.
Transparent Resolution Framework — Before trading begins, every market clearly specifies its resolution source, settlement criteria, authorized updater, and dispute conditions. This gives participants complete visibility into how the market will be resolved before they place a trade.
Permissionless Market Creation — CoinDesk reports that future HIP-4 enhancements will allow anyone to create prediction markets without centralized approval, reinforcing Hyperliquid’s move toward a fully permissionless ecosystem. New markets can be launched quickly under transparent protocol rules.
Customizable Fee Sharing — Market deployers can earn a configurable share of trading fees generated by the markets they create. This incentive model encourages the launch of high-quality markets while rewarding long-term ecosystem participation.
Composable Trading Strategies — Outcome Contracts can be combined with perpetual futures to build more sophisticated trading strategies, allowing users to hedge event-driven uncertainty or express complex market views using multiple instruments.
With these capabilities, Hyperliquid HIP-4 is transforming the platform from a perpetual futures exchange into a unified on-chain trading ecosystem. The innovation behind the Hyperliquid HIP-4 upgrade has also sparked interest in Hyperliquid clone script solutions among businesses looking to build similar decentralized trading platforms.
Now is the best time to dive deeper into exploring the overall benefits of having a Hyperliquid prediction market.
Beyond the underlying technology, these are the four benefits that make Hyperliquid’s prediction markets worth paying attention to.

Benefits explain why a protocol attracts attention. Challenges reveal how resilient it can become. To get a balanced perspective, let’s take a closer look at the potential risks that come with Hyperliquid’s prediction markets.
Here are some of the key challenges that Hyperliquid’s prediction markets may face.
Liquidity Fragmentation — As more prediction markets are launched, trading activity may become spread across multiple events, reducing liquidity in individual markets. Lower liquidity can result in wider bid-ask spreads, higher price volatility, and reduced trading efficiency.
How to overcome it: Focus on well-traded markets with higher trading volume and deeper order books whenever possible.
Market Manipulation — Low-volume markets are generally more vulnerable to price manipulation, where large traders can temporarily influence market prices or sentiment before an event is resolved.
How to overcome it: Evaluate market depth, trading volume, and order book activity before opening a position.
Reliable Event Resolution — Every Outcome Contract depends on accurate and timely event resolution. Delays, disputes, or inconsistencies in reporting the outcome could temporarily reduce market confidence.
How to overcome it: Trade markets with clearly defined settlement rules and trusted resolution sources.
Regulatory Uncertainty — Prediction markets remain subject to evolving regulations across different jurisdictions, which may influence market availability, supported event categories, or platform accessibility over time.
How to overcome it: Stay informed about local regulations and use the platform in accordance with the laws applicable in your jurisdiction.
Although these challenges may seem complex, they are not roadblocks with the right technical approach. Choosing an experienced decentralized exchange development company enables businesses to build resilient prediction market platforms that prioritize security, compliance, and long-term growth.
Hyperliquid HIP-4 proves that the next phase of DeFi isn’t about launching more products — it’s about unlocking entirely new markets. It’s more about expanding opportunities.
By integrating prediction markets into its ecosystem, Hyperliquid is creating a unified platform where traders can access multiple market opportunities without leaving the protocol.
For traders, the next generation of DeFi gives more opportunities. For builders, it opens an entirely new category of decentralized applications. And for the industry, Hyperliquid HIP-4 signals that the future of crypto trading lies in market predictions. Industry momentum is already visible. Galaxy Research estimates that monthly prediction market trading volume has grown more than 17× in the past two years, with analysts projecting the market could reach $1 trillion by 2030.
So, will prediction markets continue to evolve? Absolutely. But the bigger question is, who will lead that evolution?
Right now, it’s Hyperliquid with the HIP-4 upgrade.
Hyperliquid HIP-4 is a protocol upgrade that introduces fully collateralized on-chain outcome contracts, enabling permissionless prediction markets on HyperCore L1. It allows users to create and trade event-based markets with decentralized settlement.
Hyperliquid’s prediction market matters because it integrates event trading into its DeFi ecosystem, making prediction markets interoperable with perpetuals and spot assets.
Hyperliquid can compete with platforms like Polymarket by combining unified collateral and native integration with spot and perpetual markets. Its long-term success, however, will depend on attracting sustained liquidity and active traders.
HIP-4 marks the evolution of DeFi from asset trading toward a financial ecosystem where crypto, real-world events, and tokenized assets coexist.
Hyperliquid HIP-4: Everything You Need to Know was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
Every platform, from Facebook to Instagram, from TikTok to X, has competed for our ability to create, consume, and distribute content more efficiently than the platform before it. Entire creator economies have emerged from that model, allowing millions of people to transform attention into income through advertising, sponsorships, subscriptions, affiliate marketing, and brand partnerships.
It has become such an accepted part of the internet that very few people stop to question whether content was ever the real product in the first place.
Over the past few months, I have found myself asking a different question altogether.
What if the most valuable thing we produce online has never been our content?
What if it has always been our reputation?
The more I looked at the evolution of SocialFi, the more difficult it became to ignore that possibility.

One of the easiest mistakes to make when analyzing SocialFi is to assume it is simply another version of the creator economy running on blockchain infrastructure.
That explanation is convenient because it immediately makes the concept understandable. Instead of YouTube advertising revenue, creators receive token rewards. Instead of centralized social graphs, users own portable identities. Instead of platforms extracting most of the economic value, communities participate directly in value creation.
While all of those observations are broadly true, they also obscure something much more interesting.
The innovation is not that creators can monetize content.
Creators have been doing that for years.
The innovation is that markets can increasingly assign financial value to reputation itself.
That sounds like a subtle distinction until you think about how the internet currently works.

Imagine two software engineers publishing equally insightful technical articles over the course of a year.
One has spent a decade consistently contributing to open-source projects, mentoring younger developers, speaking at conferences, and building trust across multiple communities. The other appeared six months ago with equally impressive technical knowledge but very little established reputation.
Traditional social platforms struggle to distinguish between those two forms of value beyond engagement metrics such as followers, likes, and shares.
SocialFi introduces a different possibility.
What if reputation itself becomes an asset that accumulates over time, carries across applications, influences access to opportunities, and ultimately participates in economic markets?
Suddenly, the conversation is no longer about content.
It becomes about credibility.

This is one of the reasons I think many observers misunderstood Friend.tech.
When the platform exploded in popularity, much of the discussion focused on speculation. Critics argued that people were simply trading access to personalities, while supporters described it as an entirely new creator economy. Both perspectives captured part of the story, but neither fully explained why the idea attracted so much attention in the first place.
Friend.tech demonstrated something surprisingly profound.
People were willing to place financial value on social relationships, perceived expertise, and future influence, even if the underlying mechanism proved unsustainable over the long term. The subsequent decline in platform activity revealed equally important lessons about retention and product design, yet it did not invalidate the broader insight that markets are increasingly capable of assigning economic value to social reputation itself.
History is full of products that failed while introducing ideas that eventually reshaped entire industries.
The first implementation is rarely the final implementation.
Another trend deserves considerably more attention than it currently receives.
Some of the strongest momentum within Web3 social networks has shifted away from isolated applications and toward portable identity layers, decentralized social graphs, and ecosystems where users can move their audiences across multiple interfaces without rebuilding their communities from scratch. Protocols such as Farcaster and Lens are increasingly competing around ownership of the social graph rather than ownership of a single application, reflecting a structural change in how online identity may evolve.
That may sound like an architectural detail.
I think it changes the economics of the internet.
If reputation becomes portable rather than platform-specific, creators stop rebuilding their influence every time a new application emerges.
Instead, applications begin competing for creators.
That is almost the exact opposite of how Web2 social media evolved. At this point, someone usually asks whether people actually care about owning their social graph.
It is a fair question because history suggests that convenience almost always wins.
They simply adopted products that produced better experiences.
Ownership rarely becomes the selling point.
Better outcomes do.
The same principle may apply to SocialFi.

Users may never consciously decide they want decentralized identity.
They may simply choose platforms where years of reputation, relationships, and contributions are no longer trapped behind the walls of a single company.
The data increasingly points in that direction.
Independent market research projects the Web3 social networking sector to grow substantially over the coming decade, driven by creator monetization, user-owned identities, and the maturation of blockchain infrastructure. At the same time, several analyses suggest that decentralized social protocols are shifting from isolated communities toward interoperable ecosystems where identity and reputation become reusable assets rather than platform-specific features.
Notice what appears repeatedly across those reports.
The discussion is becoming less about social media.
It is becoming more about identity infrastructure.
Those are very different markets.
There is another consequence that I find even more fascinating.
Artificial intelligence is making content dramatically cheaper to produce.
Images can be generated in seconds.
Articles can be drafted within minutes.
Videos can be synthesized almost instantly.
When the supply of content increases exponentially, the scarcity shifts somewhere else.
Scarcity moves toward trust.
It moves toward authenticity.
It moves toward reputation.
In a world where almost anyone can create convincing content with increasingly capable AI systems, knowing who deserves attention becomes far more valuable than the content itself.
That is precisely where SocialFi begins to look less like a creator economy and more like a reputation economy.
Perhaps that is why I think the industry is asking the wrong question.
Most people ask whether SocialFi will replace Instagram, TikTok, or X.
I suspect that is far too narrow.

The more interesting question is whether SocialFi eventually becomes the reputation layer for the entire internet.
Because if every meaningful contribution, professional interaction, community endorsement, educational achievement, and creator relationship gradually accumulates within an open, portable, and economically meaningful identity, then SocialFi stops being another social network.
It becomes infrastructure.

And history has consistently shown that infrastructure businesses often create more enduring value than the applications built on top of them.
The next chapter of the internet may therefore have surprisingly little to do with content itself.
It may have everything to do with finally giving reputation a balance sheet.
The Biggest Opportunity in SocialFi Isn’t Content. It’s Reputation. was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
A few months ago, I found myself looking at a wallet dashboard that would have seemed impossible just five years earlier.
The wallet owner was earning yield across multiple protocols, maintaining exposure to several asset classes, managing risk across different chains, and automatically adjusting positions in response to changing market conditions. What made the experience remarkable was not the sophistication of the strategy itself. DeFi users have been building increasingly complex strategies for years. What caught my attention was the fact that the owner barely touched the portfolio.

The decisions were increasingly being made elsewhere.
Some were being delegated to automated vaults. Others were being handled by execution systems that optimized positions according to predefined objectives. A growing portion of the operational workload had quietly migrated from the human to the infrastructure.
At first, this seemed like a natural evolution of the user experience. Every technology eventually becomes easier to use. The internet became easier to navigate. Smartphones became easier to operate. Cloud computing became easier to deploy.
Then a more uncomfortable thought occurred to me. What if convenience is not merely improving DeFi? What if convenience is fundamentally changing what DeFi actually is?
Because the more I study the current direction of the industry, the more I become convinced that the most important battle in decentralized finance is no longer between crypto and traditional finance.
It is between human decision-making and machine execution. For most of DeFi’s history, users have served as the operating system. That may sound like an unusual statement, but think about what participation in decentralized finance has traditionally required.
The average participant had to decide which chain to use, which protocol to trust, which assets to hold, which opportunities offered attractive risk-adjusted returns, when to rebalance, when to harvest rewards, when to bridge capital, and when to exit positions. In practice, DeFi users performed functions that would traditionally be distributed across analysts, traders, treasury managers, portfolio managers, and risk officers.
We rarely framed it this way because crypto participants became accustomed to complexity.
Yet viewed objectively, the average DeFi user has been acting as an unpaid financial operations team.
That model worked when the industry consisted primarily of enthusiasts.
The question is whether it can survive mass adoption. One of the most persistent assumptions in crypto is that people want financial control.
I am increasingly convinced that most people do not.
What people actually want is financial outcomes and so the distinction appears subtle until you examine how consumers behave across every major technological shift. Most drivers never wanted to learn the mechanics of route optimization. They simply wanted to reach their destination faster. Most internet users never wanted to understand networking protocols. They simply wanted information. Most business owners never wanted to manage physical servers. They simply wanted reliable computing power.
Again and again, technology creates value by transforming complex processes into simple outcomes.
When viewed through that lens, DeFi begins to look remarkably unfinished because despite all of the innovation, the average user is still responsible for an extraordinary amount of operational decision-making.
The system remains powerful.
It does not yet feel effortless.
This is where the data becomes interesting.
Whenever analysts evaluate DeFi growth, they often focus on metrics such as Total Value Locked, transaction volume, active addresses, or protocol revenue. These measurements are useful, but they may not capture the most important trend currently unfolding.
The more revealing metric may be the amount of financial activity that users no longer perform themselves.
Consider the growth of automated yield vaults, automated liquidity management systems, intent-based execution layers, algorithmic treasury products, and increasingly sophisticated agent frameworks. Each of these innovations removes another decision from the user’s workload.
Individually, these developments appear incremental.
Collectively, they suggest something much larger.
The industry is steadily reducing the number of financial decisions that humans must make.
And history suggests that industries become significantly larger when that happens.
At this point, many readers might assume this is simply another article about artificial intelligence.
It isn’t.
In fact, I think the obsession with AI agents has caused many observers to miss the more important story.
The real trend is not artificial intelligence.
The real trend is abstraction.
Artificial intelligence merely happens to be one of several tools accelerating it.
For decades, successful technologies have followed the same trajectory. They begin by exposing users to complexity and gradually move toward hiding that complexity behind increasingly intuitive interfaces.
The internet hid networking complexity.
Cloud computing hid infrastructure complexity.
Ride-sharing applications hid transportation complexity.
Streaming platforms hid distribution complexity.
The next phase of DeFi may involve hiding financial complexity.
That shift sounds less exciting than artificial intelligence.
It may also be significantly more valuable.
There is another implication that deserves attention.
Throughout most of financial history, expertise created value because expertise was scarce.
Professional investors, analysts, traders, and advisors generated returns partly because they possessed information, tools, or capabilities unavailable to ordinary participants.
Automation changes that equation.
As execution systems become increasingly sophisticated, the value of manually identifying opportunities may decline relative to the value of designing objectives.
In other words, future users may spend less time deciding how to execute a strategy and more time deciding what outcomes they want to achieve.
That sounds like a small change.
It is actually a profound shift in how financial systems operate.
One world rewards operational skill.

The other rewards strategic intent. The reason I believe this trend matters so much is that it changes who DeFi is competing against.
For years, crypto participants viewed banks as the primary competitor. Then fintech companies emerged as another point of comparison. More recently, tokenized assets and institutional products have shifted attention toward traditional financial infrastructure. Yet all of these comparisons assume that users are choosing between different providers of financial services.
What if the more important choice is between performing financial labor and delegating financial labor?
Because every major technological revolution eventually revolves around labor.
Agricultural technology reduced physical labor.
Industrial technology reduced manufacturing labor.
Software reduced administrative labor.
Artificial intelligence is reducing cognitive labor.
Financial automation may reduce financial labor.
And if that proves true, the addressable market becomes dramatically larger than most DeFi projections currently assume. This is why I increasingly believe the biggest winners of the next decade may not be the protocols offering the highest yields.
They may not be the chains processing the most transactions.
They may not even be the applications generating the most revenue today.
Instead, the largest winners may be the systems that become the invisible operating layer of digital capital. The systems that quietly handle allocation, execution, risk management, rebalancing, treasury operations, and liquidity optimization without requiring users to understand the underlying complexity. History repeatedly demonstrates that the most valuable infrastructure often becomes invisible.
Most internet users never think about DNS systems.
Most drivers never think about routing algorithms.
Most cloud customers never think about data center architecture.
The greatest compliment infrastructure can receive is to disappear. Perhaps that is why I find the current conversation around DeFi slightly incomplete. The industry continues debating which protocols will win, which chains will dominate, and which narratives will attract capital.
Those are important questions.
I am simply not convinced they are the most important questions.
The more interesting question may be what happens when financial management itself becomes increasingly automated, because if users ultimately stop interacting with protocols directly and instead interact with objectives, then the competitive landscape changes entirely.
At that point, the most valuable product is no longer a protocol.
The most valuable product becomes trust.
Trust that a system can translate intent into outcomes more effectively than a human could do alone. For years, the crypto industry has imagined a future where everyone becomes their own bank.
It is a compelling vision, and one that helped inspire an entire generation of builders.
Yet history suggests that most people do not wake up aspiring to become financial managers.
Most people simply want their money to work.
They want their savings protected.
They want their capital allocated intelligently.
They want complexity handled somewhere else.
And if the next decade unfolds the way current trends suggest, the biggest disruption in finance may not come from decentralization alone.
It may come from the gradual realization that humans were never supposed to be the operating system in the first place.
The Most Dangerous Competitor to DeFi Is Not a Bank. It’s a Robot. was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
For as long as I can remember, one of the industry’s favorite predictions has been that Wall Street was coming.
The phrase has survived multiple market cycles. It survived ICOs, survived DeFi Summer, survived NFTs, survived the collapse of major crypto institutions, and somehow continues to appear whenever somebody needs a bullish argument for the future of the industry. The underlying assumption has always been remarkably consistent: once traditional financial institutions finally arrived, they would discover the superiority of decentralized finance, embrace permissionless markets, and help accelerate the transition toward a new financial system.
The prediction was simple.
Wall Street would come on-chain and eventually become crypto.
Lately, however, I have started wondering whether we got the direction completely wrong.
Because after spending the last few months following the rapid growth of tokenized assets, reading institutional reports, and observing where capital is actually flowing, it increasingly feels as though the opposite is happening.
Wall Street is indeed coming on-chain.
But crypto is slowly becoming Wall Street.
And the implications of that shift are far more significant than most people realize.

The first time I genuinely paid attention to tokenization was not because of a major announcement or a headline-grabbing product launch. It was because I noticed something strange about the conversations institutions were having.
Whenever crypto natives discuss the future, the conversation often revolves around decentralization, censorship resistance, governance, permissionless innovation, and financial sovereignty. Those concepts have always formed part of crypto’s ideological foundation.
Yet when banks, asset managers, and financial institutions discuss blockchain technology, they sound remarkably different.
They rarely spend time debating governance structures.
They are not fascinated by token emissions.
They are not particularly interested in the philosophical implications of decentralization.
Instead, they talk about settlement efficiency. They talk about collateral mobility. They talk about operational risk. They talk about reducing reconciliation costs and eliminating unnecessary delays from financial infrastructure.
The more I listened, the more I realized that institutions were approaching blockchain technology the same way businesses approached cloud computing years ago.
Not as a movement. As infrastructure. And infrastructure businesses tend to become very large.
This is where tokenization becomes far more interesting than many people assume.
For years, crypto’s growth has largely been driven by crypto-native assets. Bitcoin was traded against Ethereum. Ethereum was traded against stablecoins. Stablecoins were deployed into lending markets, liquidity pools, derivatives platforms, and a growing ecosystem of financial products built primarily for participants already inside crypto.
Tokenization changes the nature of the opportunity entirely.
Instead of asking how many more users crypto can attract, tokenization asks how many existing assets can migrate on-chain.
That may sound like a subtle distinction, but it fundamentally changes the scale of the market being addressed.
The global bond market is measured in the hundreds of trillions of dollars. Global real estate is larger still. Money market funds, corporate debt, private credit, treasury products, and public equities collectively represent asset pools that dwarf most segments of the crypto economy.
For the first time, blockchain technology is no longer competing merely for users.
It is competing for assets. And assets tend to be much larger than user bases. Naturally, this raises a question that many people would rather avoid.
If trillions of dollars worth of traditional assets eventually move on-chain, what exactly does that future look like? I ask because the version often imagined by crypto participants appears very different from the version institutions seem to be building.
Many people envision a future where everything becomes permissionless, borderless, and accessible to anyone with an internet connection. Institutions appear to envision a future where assets settle faster, move more efficiently, and become easier to manage, while still operating within recognizable legal and regulatory frameworks.
Those two visions overlap in certain areas, but they are not identical. In fact, one of the most fascinating aspects of the tokenization trend is that it may ultimately prove that blockchain technology and crypto ideology are not the same thing.
For years, the two were treated as inseparable. Today, they increasingly look like independent concepts. And markets appear far more interested in the technology than in the ideology. That realization reminded me of something that happened during the early years of the internet.
Many people assumed the internet would fundamentally eliminate existing institutions. Traditional media companies would disappear. Retailers would disappear. Financial institutions would disappear.
Instead, what happened was far more nuanced.
Some incumbents failed.
Others adapted.
Many simply adopted the technology and became stronger and so the internet did not eliminate commerce it transformed how commerce operated.
The internet did not eliminate finance. It transformed how finance operated.
Perhaps blockchain follows a similar path.
Perhaps the ultimate success of blockchain technology is not measured by how much of the traditional financial system it destroys and it is measured by how much of the traditional financial system it improves.

One statistic that continues to stand out is how quickly tokenized Treasury products have gained traction.
Think about that for a moment.
After years of innovation, experimentation, and countless attempts to build entirely new financial primitives, one of the fastest-growing categories in crypto is exposure to one of the oldest and most traditional financial instruments in existence: government debt.
At first glance, that sounds disappointing.
Until you realize what it actually means.
Markets are voting.
And markets rarely vote based on ideology.
They vote based on utility.
If tokenized Treasury products offer attractive yields, efficient settlement, and greater accessibility than their traditional counterparts, capital will naturally flow toward them.
Not because investors suddenly became passionate about blockchain technology.
Because the product is useful.
The distinction matters.
People often adopt technology because of what it allows them to do, not because they care how it works. This brings us to what I believe is the most important question surrounding tokenization today.
The debate is no longer whether real-world assets will move on-chain.
The debate is who captures the value when they do.
History suggests that infrastructure transitions often create unexpected winners. Very few people predicted which companies would ultimately capture the most value from the internet.
The same may prove true for tokenization. The largest beneficiaries may not be the most obvious participants today.
Whenever people ask me what the most important trend in crypto is right now, they often expect an answer involving AI agents, memecoins, or some emerging narrative dominating social media.
Increasingly, I find myself returning to tokenization.
Not because it is the most exciting story.
In many ways, it is one of the least exciting stories.
There are no overnight millionaires.
There are no viral communities.
There are no speculative manias driving headlines every week.
What exists instead is something much more powerful.
A gradual restructuring of financial infrastructure.
A process that is happening quietly, steadily, and increasingly with institutional participation.
Those transitions rarely generate the same attention as speculative markets.
Yet they often create far more value.
Perhaps that is why I think we have been asking the wrong question all along. For years, the industry asked when Wall Street would come on-chain.
That question has effectively been answered and the more important question now is what happens when it gets here. Because if tokenization continues along its current trajectory, blockchain technology may achieve something remarkable, not by replacing the financial system.
Not by destroying the financial system but by becoming part of the financial system itself.
And that future looks very different from the one most people imagined when they first heard that Wall Street was coming.
Wall Street Is Finally Coming On-Chain. Crypto May Not Like What Happens Next. was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
The milestone reflects aggregate swap volume routed across connected Solana liquidity pools. Jupiter is not just a single exchange pool. It is an aggregator, meaning it searches across venues to find better pricing and execution for users.
That role makes it central to Solana trading.
When users swap tokens on Solana, Jupiter is often part of the route. Passing $1 trillion in cumulative volume shows how much trading activity has flowed through the platform and how important aggregation has become for low-cost, high-speed DeFi.
Decentralized exchanges can become fragmented.
Liquidity is spread across pools, AMMs, order books, and protocols. If users have to manually search for the best route, trading becomes inefficient. Aggregators solve that problem by routing trades through the best available path.
Jupiter has become Solana’s most recognizable example of that model.
It helps users access deeper liquidity without needing to understand every underlying venue. That is especially useful on Solana, where low fees make smaller and faster trades more practical.
The $1 trillion milestone shows that users are not just experimenting with Jupiter. They are relying on it as part of Solana’s core market structure.
That matters because DeFi ecosystems are often judged by their liquidity layer.
If swaps are cheap, fast, and well-routed, the entire ecosystem becomes easier to use.
Solana’s early DeFi story was often overshadowed by meme coins and retail trading.
That attention brought volume, but it also made some investors question how much activity was durable. Jupiter’s cumulative volume milestone gives Solana a stronger infrastructure story.
A trillion dollars in routed volume does not happen without repeated use.
It suggests a large amount of trading activity has moved through Solana’s DeFi rails over time. That strengthens the argument that Solana is not only a speculative chain but also a serious venue for decentralized trading.
The launch of Jupiter’s Offerbook lending market adds another layer.
If Jupiter can expand from routing swaps into lending and broader market infrastructure, it may become even more central to Solana’s DeFi stack.
The number is impressive, but it should be understood properly.
Cumulative volume is not the same as current daily volume. It reflects all historical routing activity across connected pools. It does not mean $1 trillion is locked in the protocol, and it does not mean that every trade produced equal revenue or user value.
Still, cumulative volume is a useful adoption marker.
It shows that Jupiter has processed meaningful activity over a long period. For users, that can reinforce trust. For developers, it shows where liquidity is flowing. For Solana, it supports the network’s claim to be one of crypto’s leading trading environments.
The next question is how Jupiter maintains that position.
Competition in DeFi is constant. Aggregators need to keep routes efficient, interfaces clean, integrations broad, and execution reliable. If they fall behind, users can move quickly.
The broader story is Jupiter’s evolution.
The platform started as a critical swap aggregator, but it has increasingly expanded into other Solana-native financial products. Offerbook is part of that shift, pointing toward a wider DeFi role beyond simple token swaps.
That matters for Solana.
A strong ecosystem needs anchor applications. Ethereum has Uniswap, Aave, Lido, and Curve. Solana needs its own set of core venues that users return to repeatedly. Jupiter is clearly one of them.
Passing $1 trillion in cumulative routing volume reinforces that position.
For traders, it shows where Solana liquidity is moving. For SOL supporters, it gives a concrete metric supporting the network’s DeFi maturity. For Jupiter, it raises expectations.
The platform now has to prove that it can keep growing beyond aggregation while maintaining the execution quality that made it important in the first place.
For now, the milestone is a strong signal: Solana DeFi has real volume, and Jupiter remains one of its main arteries.
This article is based on Jupiter’s public statement and platform data.
This article was written by the News Desk and edited by Samuel Rae.
This report is based on information released in official primary source disclosures at primary source documentation.

The XRP Ledger has connected to Axelar, opening a new route for XRP and XRPL-native assets to move into broader cross-chain DeFi environments.
The integration allows XRP to connect with applications across EVM and Cosmos ecosystems through Axelar’s interoperability stack. That does not mean XRPL has become a native EVM chain. It means XRPL assets now have a clearer bridge into other networks and applications.
That distinction matters.
For years, XRP has been one of the most liquid assets in crypto, but XRPL’s DeFi ecosystem has developed differently from Ethereum-style smart contract networks. Cross-chain connectivity can help close part of that gap by letting liquidity move where applications already exist.
The question is whether users and developers will actually use the new route.
Liquidity is one of XRP’s strongest advantages.
The token trades across major exchanges, has deep global awareness, and remains one of the most recognizable crypto assets. But liquidity on exchanges is not the same as liquidity inside DeFi.
DeFi requires assets to move between protocols, chains, lending markets, pools, and applications. If an asset is isolated inside its own ecosystem, it may miss opportunities that exist elsewhere.
That is what Axelar integration is meant to address.
By connecting XRPL to wider cross-chain routes, XRP can potentially reach more DeFi venues without relying only on centralized exchanges. That could help holders access new applications and allow developers to integrate XRP liquidity into more products.
For XRPL, this is not just about asset movement. It is about relevance in a multi-chain market.
The integration needs careful framing.
Connecting to Axelar does not mean XRPL now runs Ethereum smart contracts natively. It does not make XRPL an EVM chain. It does not automatically create a full DeFi ecosystem overnight.
Instead, it improves interoperability.
Users may be able to move XRP into EVM or Cosmos-connected environments where other applications exist. Developers may be able to design workflows that include XRP liquidity without requiring everything to happen on XRPL itself.
That is useful, but it comes with bridge and interoperability risk.
Cross-chain systems need security, liquidity, and reliable message passing. If users move assets through bridges, they are taking on a different risk profile from holding native XRP on XRPL.
That is why adoption will depend on trust in the bridge path and the applications built around it.
The broader crypto market is moving toward interoperability.
No single chain contains all liquidity, users, or applications. Ethereum, Solana, BNB Chain, Cosmos, XRPL, Avalanche, and other networks all have different strengths. The next phase of DeFi depends on connecting these ecosystems without creating fragile bridge structures.
Axelar has positioned itself as one of the projects trying to solve that problem.
For XRP, being connected to this kind of infrastructure may help the asset participate in DeFi growth outside its original environment.
That could matter because user expectations have changed.
Crypto holders increasingly expect assets to be usable across multiple chains. They want to trade, lend, borrow, bridge, and use applications without being trapped inside one network. Assets that cannot move easily may feel less useful over time.
XRPL’s Axelar connection helps address that pressure.
The integration is meaningful, but it needs follow-through.
The market will watch whether XRP actually moves through Axelar-connected routes, whether liquidity builds in DeFi applications, and whether developers create useful cross-chain products around XRPL assets.
A bridge announcement is only the first step.
Without liquidity incentives, wallet support, user demand, and application integrations, cross-chain infrastructure can remain underused. The strongest signal will be real transaction volume and sustained activity.
For now, the development gives XRP a cleaner path into multi-chain DeFi.
That does not guarantee immediate market impact, but it strengthens the utility conversation around XRPL. XRP is no longer just an exchange-traded asset or payments narrative. It is being connected more directly to the broader DeFi map.
This article is based on XRPL and Axelar materials.
This article was written by the News Desk and edited by Samuel Rae.
This report is based on information released in official primary source disclosures at primary source documentation.


Confidential decentralized finance (DeFi) has always been one of the best use cases for Oasis’s privacy stack. The industry’s first and only production-ready confidential EVM, Sapphire, was, however, only half the solution for trustless applications to ensure user data is sovereign and secured by default.
On-chain runtime can only take you so far, especially when processing huge datasets or sensitive information is concerned. Oasis has crossed that hurdle now with runtime off-chain logic ROFL in production. This framework runs off-chain compute inside a Trusted Execution Environment (TEE) before handing over the result to Sapphire for on-chain storage and finalization.
As Sapphire and ROFL enable verifiable privacy at scale, thereby counteracting the trust bottleneck, several projects have aligned themselves with Oasis to integrate this privacy layer for their products. Here, I will outline two examples that offer a glimpse into the future where confidential DeFi unfolds as verifiable private DeFi of tomorrow, uplifting user experience.
Prediction markets are an interesting spin-off of the DeFi space, and Polymarket is undeniably one of the biggest players. Here, users can bet on real-world scenarios and outcomes, from elections to sports to just anything that involves Yes/No decisions. They can buy YES or NO tokens that are essentially tokenised positions in the market. The potentially lucrative returns attract not only crypto-native but also mainstream users, and at any given time, hundreds of millions in positions are open.
Funds locked with idle positions
The prediction market sounds fun and simple to engage with but has an inherent problem. When a user buys those YES or NO tokens, the time taken to resolve the position may range from a few hours to a few days to a few months. And until resolution, the funds are locked in the position, sitting idle, and with zero benefit to the asset owner.
Robin Markets proposes to solve this inefficient situation.

Users can trade and stake the YES or NO tokens, and earn passive income. It works like this.

With this scenario, both the YES and NO stakers stay in the market with their open positions untouched, while the collateral helps earn them APY.
Yield distribution mechanism
Users earning from idle positions is good news, but the yield distribution scenario is challenging. At the resolution point, one position wins, and the other loses. But the yield accumulated during the lifecycle of the positions is not equivalent for the opposing parties, representing variable risks.
It is improbable that the YES and NO stakers split the risk and the position 50:50, so the yield payout also cannot be an even distribution. Splitting the yield at the final resolved price is also inaccurate, as it will nullify the changing positions during the lifecycle of the staking period.
Time-weighted average, or TWAP, is used to solve this dilemma. This mechanism tracks the average price of both the YES and NO positions during the lifecycle of the staking period before calculating yield distribution. Robin Markets has a trustless oracle server to access the price history from Polymarket. It then uses TWAP to process the yield calculation, and signs the results on-chain. Any update on the yield in the staking vault only applies when a valid signature is verified from the oracle.
Oasis role
The trustless oracle runs on ROFL, executing the whole process of price fetching, TWAP computation, and result sign-off inside a secure enclave. No part of the process is visible, accessible, or modifiable by Robin Markets or any third parties. Also, since on-chain verification of signature must accompany any update, it ensures the oracle data remains in sync with the current chain state.
The verifiable-by-design computation and tamper-proof oracle reports ensure there are no trust gaps in the mechanism, letting users avail a first for yield on locked prediction-market positions.
DeFi is the go-to web3 use case for many, but the market reality of retail traders versus institutions and professional traders shows a huge and unfair gap. While institutions benefit from reading and interpreting on-chain flows, liquidity conditions, and real-time market sentiments, professional traders have access to high-grade tools, automations, and data analysis and insights.
The Tradable platform and its SenseAI tool help plug this imbalance. With automated trading enabled and a personalised AI portfolio assistant to help, users other than traditional heavy hitters can also make the most of the market opportunities.

As an autonomous agent, SenseAI reads the market 24x7, bringing institutional feeds and insights to retail. It involves simultaneous access to three layers.
With institutional-grade intelligence on their fingertips, average users can use the opportunity to translate market trends and signals into potentially high-return crypto portfolios.
The mechanics of SenseAI
SenseAI, as a market intelligence tool, differs from most similar solutions that produce information overload by dumping too much raw data, with users unable to decide how to interpret the signals or what to do next. Instead, it runs a process that combines reasoned output from strategy, research, and analysis.
As a result, SenseAI is involved in context building to decide what matters and when, data access and processing, and using all this to analyse signals and infer the best foot forward. Two key components of the process are divergence and confluence.
Divergence is where the tool can flag the fragility of a network even when the price pumps and no apparent weakness is visible or predicted by price action. Confluence is where the tool can read signal over narrative so that liquidity and on-chain activity expansion is validated as real strength rather than mere hype.
Every insight is encrypted, verified, and paid on-chain, yet the whole process feels like a normal web request.

Oasis role
Market analysis, especially using autonomous agents, needs integrity, and that trust must be earned. The mechanism should be tamper-proof, and there should also be no bias for or against any crypto assets. Running inside ROFL, SenseAI ensures confidential compute on the Tradable virtual chain on Aurora. With remote attestation securing the tool’s mechanism, it is safe from any manipulation by the operator, and the user prompts also stay confidential.
Like any other AI tool, memory is the eternal pain point. As user interactions grow, memory also grows, branches, and needs constant access for context. The storage problem is solved by putting the entire memory, comprising messages and context, in an encrypted file on Autonomys Auto Drive. So, the confidential on-chain smart contract gatekeeps and proves any conversation that happens; Auto Drive stores the conversation content, and only the user, holding the keys, can access and read it.
Currently, SenseAI is in testnet mode, where usage by the community provides the information layer for the tool. After mainnet rollout on Aurora and enabling of live token payments, it will be integrated into the Tradable platform as the verifiable market intelligence for individual traders.
Robin Markets and Tradable’s SenseAI showcase how next-gen confidential DeFi evolves alongside AI agents. Integrating Oasis’s tech stack like ROFL underlines the value of off-chain compute and verifiable privacy.
What is your take on these projects? Let’s hit the comments section.
Also, explore Oasis’s in-house private DeFi solution, Privana, or how the protocol can help build and deploy verifiable agents.
Originally published at https://dev.to on July 21, 2026.
Verifiable DeFi Is Catching On. Case Studies: Robin Markets, Tradable. was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
Reference: DefiLlama
Solana’s stablecoin market capitalization has crossed $15 billion, according to DeFiLlama data, giving the network another liquidity milestone as stablecoin activity spreads across its ecosystem.
The figure reflects cumulative stablecoin value on Solana and points to a deeper base for trading, payments, DeFi, and on-chain settlement. Stablecoins are not always the loudest part of a blockchain ecosystem, but they are often one of the most important.
For Solana, the milestone helps separate real liquidity growth from pure speculative activity.
Meme coins and retail trading have brought attention to the network, but stablecoins are what make a chain more useful for financial activity. They give users dollar exposure, help power trading pairs, support lending markets, and make payments easier.
A $15 billion stablecoin base shows Solana is becoming a more serious settlement environment.
Crypto markets often focus on price moves, token launches, and trading narratives.
Stablecoins are less dramatic, but they are more useful. They are the working capital of on-chain finance. Traders use them to enter and exit positions. Protocols use them for lending and liquidity pools. Payment apps use them for settlement. Users in many markets use them as digital dollar access.
That is why Solana’s stablecoin growth matters.
A chain can have attention without deep liquidity. That attention can fade quickly. Stablecoins create more durable utility because they make it easier for users and applications to transact.
Solana’s low fees and fast confirmations already make it attractive for stablecoin transfers. The larger the stablecoin base becomes, the stronger that advantage can be.
A $15 billion milestone does not guarantee dominance, but it does show that the network is attracting serious dollar liquidity.
The latest milestone also fits with the growth of alternative stablecoins on Solana.
USDC and USDT remain the two dominant stablecoins across crypto, but Solana’s stablecoin ecosystem is becoming more diverse. That matters because a broader mix can create more integration options for DeFi protocols, payment apps, and institutional products.
At the same time, more stablecoins mean more complexity.
Users need to know which assets are liquid, which are redeemable, which are supported by major apps, and which carry higher issuer or liquidity risk. A bigger stablecoin market is useful only if it remains reliable.
For Solana, the next phase is not just about adding supply. It is about turning that supply into active usage.
That means trading volume, lending demand, payment flows, and real settlement activity.
Stablecoin growth has direct implications for Solana DeFi.
Lending markets can deepen. Decentralized exchanges can support larger trades with less slippage. Payment apps can settle more value. Wallets can become more useful because users have access to dollar-denominated assets without leaving the ecosystem.
This is where Solana has a clear advantage.
The network is already known for speed and low cost. Stablecoins make those technical features more practical. A fast chain is useful for payments only if users have assets they actually want to move. A cheap chain is useful for trading only if liquidity is deep enough.
The $15 billion stablecoin mark strengthens that case.
It also helps Solana compete with other major settlement networks. Ethereum has deeper institutional DeFi. TRON has enormous USDT transfer volume. Base has Coinbase distribution. Solana’s argument is that it can combine low-cost performance with growing liquidity and consumer-friendly apps.
Stablecoins are central to that pitch.
The important question now is whether the stablecoins are active.
A high market cap is positive, but dormant liquidity does not help much. Traders will watch whether the stablecoin base is being used across decentralized exchanges, lending protocols, payments, and cross-chain flows.
They will also watch whether liquidity remains stable during volatility.
Stablecoin supply can grow quickly in good markets and shrink if users move funds elsewhere. Solana’s challenge is to make the liquidity sticky by building applications that users want to keep using.
Still, crossing $15 billion is a meaningful signal.
It shows Solana is not only a speculative trading chain. It is building the liquidity foundation needed for larger financial activity. If that base continues to grow and circulate, Solana’s DeFi and payments narrative becomes stronger.
For now, the milestone gives the network a cleaner fundamental story at a time when investors are looking for activity that lasts beyond hype cycles.
This article is based on DeFiLlama stablecoin data.
This article was written by the News Desk and edited by Samuel Rae.
This report is based on information released by DefiLlama. at DefiLlama

Reference: DefiLlama
Solana’s alternative stablecoin supply has reached $4.81 billion, according to DeFiLlama data, showing that liquidity on the network is becoming less dependent on the two largest dollar tokens.
The figure refers to stablecoins outside the usual USDC and USDT base. That distinction matters because Solana already has a deep stablecoin market, but a growing alternative stablecoin segment suggests the ecosystem is becoming more diverse.
Key contributors identified in the validated materials include USD1 at roughly $1.02 billion and USDG at around $1 billion. Together, they point to a broader trend: Solana is attracting more stablecoin types, not just more stablecoin volume.
That is important for DeFi, trading, payments, and on-chain liquidity.
Stablecoins are the liquidity layer of crypto.
They sit inside decentralized exchanges, lending markets, trading venues, payment apps, bridges, and treasury flows. A chain with deep stablecoin liquidity is easier to use because users can move in and out of positions without relying entirely on volatile assets.
For Solana, stablecoins have become especially important.
The network’s low fees and fast transactions make it a natural environment for payments and high-frequency trading. But liquidity depth matters just as much as speed. If the stablecoin base is thin or overly concentrated, DeFi growth becomes more fragile.
A larger alternative stablecoin supply helps diversify that base.
It gives protocols more assets to integrate, gives users more options, and may reduce dependence on a single issuer or token. That does not mean every stablecoin is equally safe or equally useful. It simply means Solana’s liquidity stack is becoming broader.
The $4.81 billion milestone should be framed carefully.
USDC and USDT remain the dominant stablecoins across crypto. On Solana, they still matter enormously for exchanges, wallets, DeFi pools, and payments. Alternative stablecoins growing does not mean the two largest tokens are losing relevance.
Instead, the better read is that Solana’s stablecoin market is expanding at the edges.
Newer or alternative dollar tokens can serve specific users, issuers, regions, or applications. Some may be designed for institutional use. Some may be tied to payment networks. Others may aim at DeFi-specific integrations.
That kind of diversity can be healthy if the assets are transparent, liquid, and well-integrated.
It can also introduce complexity. Users need to understand issuer risk, redemption mechanics, reserves, liquidity, and where each stablecoin can actually be used.
More stablecoins does not automatically mean better stablecoins.
For Solana DeFi, the growth is still useful.
A broader stablecoin base can support deeper trading pairs, more lending collateral, better payment flows, and more resilient liquidity across protocols. It can also make Solana more attractive to issuers looking for a high-throughput chain with active retail and institutional users.
Solana’s stablecoin story has become one of its strongest ecosystem signals.
Meme coins may generate attention, but stablecoins generate financial utility. They are used when people actually need to transfer value, settle trades, manage risk, or hold dollar exposure on-chain.
That is why stablecoin growth often matters more than speculative volume.
If Solana can continue expanding stablecoin liquidity while keeping costs low, the network strengthens its case as a payments and DeFi settlement layer.
The headline supply number is only one part of the story.
The market still needs to see how these alternative stablecoins are used. Are they sitting idle, or are they moving through DEXs and lending protocols? Are they backed by transparent reserves? Are they supported by major wallets and exchanges? Can users redeem them easily?
Those questions will decide whether the $4.81 billion milestone becomes a durable ecosystem advantage.
For now, the signal is positive. Solana’s liquidity base is expanding, and the growth is not limited to the biggest stablecoin brands. That makes the ecosystem more flexible and potentially more resilient.
But the quality of the stablecoin mix matters.
Stablecoin history has shown that not all dollar tokens are equal. Solana’s next challenge is to turn broader supply into reliable, trusted, active liquidity.
This article is based on DeFiLlama stablecoin data.
This article was written by the News Desk and edited by Samuel Rae.
This report is based on information released by DefiLlama. at DefiLlama

Uniswap founder Hayden Adams has proposed expanding protocol fees across Uniswap v4 and several network deployments, putting one of DeFi’s longest-running governance debates back at the centre of the market.
Protocol fees are a sensitive topic for Uniswap because the exchange is one of DeFi’s most important pieces of infrastructure. It processes huge volumes, sits across multiple chains, and remains a core liquidity venue for tokens. But for years, the question has been whether that usage should translate into direct economic value for the protocol and UNI governance.
The new proposal, published through Uniswap governance, targets protocol-level fee activation across multiple deployments, including v4 pools and the newly launched Robinhood Chain.
For UNI holders and DeFi users, this is not just a technical governance item. It goes to the heart of how DeFi protocols should capture value.
Reference: Uniswap Governance Forum
Uniswap is widely used, but usage and token value have not always moved together.
That has been one of the biggest debates around UNI. The protocol is critical to DeFi, but the token has often struggled with the question of direct value capture. Governance rights matter, but investors also want to know whether protocol activity can translate into a stronger economic model.
Protocol fees are one possible answer.
If activated, a portion of trading fees can be routed to protocol-controlled mechanisms rather than flowing only to liquidity providers. That can create a clearer link between exchange activity and the protocol’s treasury, buyback/burn mechanics, or other governance-directed uses.
The details matter. Fee rates, affected pools, chain selection, and how collections are handled can all change how traders, liquidity providers, and token holders respond.
For Uniswap, the challenge is balancing value capture with liquidity competitiveness. If fees are too aggressive, liquidity may migrate. If fees are too light, token holders may see little impact.
Uniswap is no longer just an Ethereum mainnet protocol.
It exists across multiple networks, and v4 is designed to make liquidity architecture more flexible. That multi-chain footprint creates opportunity, but it also makes governance more complicated.
Different chains have different users, fee environments, liquidity profiles, and competitive pressures. A fee model that works on Ethereum may not work the same way on Base, Arbitrum, Optimism, BNB Chain, Robinhood Chain, or Polygon.
That is why this proposal matters. It is not only about turning on a switch. It is about deciding how Uniswap should operate as a cross-chain liquidity protocol.
The governance materials note that fee collections would be routed into TokenJars and claimed for burning through UNI bridging to mainnet. That kind of structure shows how much DeFi governance has evolved. Fee activation now involves not just a governance vote, but cross-chain accounting, collection mechanisms, and execution details.
The more networks Uniswap supports, the more important those mechanics become.
UNI holders will likely focus on whether the proposal creates a clearer path for token value.
That does not mean the market will instantly reprice UNI. Governance proposals can take time, and implementation matters more than the headline. But the direction is important. If Uniswap can show a credible method for turning protocol volume into economic value, the token’s investment case becomes easier to explain.
Liquidity providers will be watching from another angle.
They want to know whether protocol fees reduce their share of trading economics and whether any fee changes make certain pools less attractive. DeFi liquidity is mobile. If LPs believe another venue offers better returns, they can move.
Users care about execution quality. If fee activation damages liquidity or worsens pricing, traders may notice. If the change is small enough to preserve competitiveness, users may barely feel it.
That is the balance Uniswap governance has to strike.
The proposal also says something bigger about DeFi’s maturity.
Early DeFi was mostly about growth: liquidity, volume, users, integrations, and TVL. Mature protocols eventually face a different question: how does that activity support long-term economics?
Uniswap is one of the clearest examples because it is both widely used and heavily scrutinised. If a protocol of its size cannot find a sustainable value-capture model, investors will keep asking difficult questions about governance tokens across the sector.
That is why this debate reaches beyond Uniswap.
Other DeFi protocols are watching the same issue. They need to reward users, keep liquidity, satisfy governance, and avoid creating regulatory problems. Protocol fees sit right at the intersection of those pressures.
For now, the proposal gives the market a fresh reason to pay attention to UNI governance. It may not settle the value-capture debate immediately, but it moves the discussion into a more concrete phase.
If approved and implemented cleanly, it could become one of the more important DeFi governance developments of the year.
This article is based on the Uniswap governance forum.
This article was written by the News Desk and edited by Samuel Rae.
This report is based on information released by Uniswap Governance Forum. at Uniswap Governance Forum

Sui has launched gas-free stablecoin transfers, a move that goes directly at one of the most annoying pieces of crypto payments: needing the network’s native token just to move dollars.
For experienced crypto users, gas is normal. For everyone else, it is friction. A user may have USDC or another stablecoin in a wallet, but if they do not also hold the chain’s native token, they can get stuck. They cannot send funds, make a payment, or move assets without first acquiring gas.
That is a terrible experience for payments.
Sui’s new stablecoin transfer feature is designed to remove that issue by allowing users to send supported stablecoins without holding SUI for transaction fees. The available source material points to implementation through Sui’s Move API, with gas set at zero and the fee burden handled away from the end user.
That sounds technical, but the user-facing idea is simple: stablecoins should move more like money and less like a puzzle.
Reference: Sui
Stablecoins are one of crypto’s clearest product-market fits.
They are used for trading, settlement, payments, remittances, DeFi collateral, and dollar access in markets where banking rails are slow or unreliable. But even stablecoins can feel awkward when the user has to understand gas.
The problem is especially obvious for new users. Someone may receive stablecoins and assume they can send them immediately. Then the wallet tells them they need the native asset to pay fees. Now they have to find SUI, ETH, SOL, TRX, or another gas token before they can do anything.
That is not how normal payments work.
Nobody expects to hold a separate “fee token” to send pounds from a banking app or dollars from a payment wallet. Crypto users have learned to tolerate that because they understand blockchains. Mainstream users have not, and probably should not have to.
Gas-free stablecoin transfers are an attempt to hide that complexity.
If Sui can make stablecoin movement feel more like a normal payment action, the network becomes easier to use for wallets, apps, merchants, and everyday transfers.
Sui is not the first network to chase stablecoin payments, and it will not be the last.
Ethereum has the deepest liquidity and most established DeFi ecosystem. TRON has become a major stablecoin transfer network because of its low fees and wide USDT usage. Solana has pushed hard into fast, low-cost consumer payments. Base is trying to combine Ethereum alignment with cheaper transactions and app distribution.
That means Sui needs a real reason for users and developers to care.
Gas-free stablecoin movement is a practical answer. It does not rely on abstract network claims. It solves a visible user problem.
The supported stablecoin list is important as well. According to the cleaned pack, supported assets include USDC, USDsui, suiUSDe, AUSD, FDUSD, USDB, and USDY. That gives the feature a wider stablecoin base than a single-asset implementation.
For developers, the more interesting part may be the infrastructure model. If apps can build payment flows where the user never has to think about gas, Sui becomes easier to integrate into consumer-facing products.
That could matter for wallets, games, DeFi front ends, subscription tools, and cross-border payments.
The launch is promising, but the market will judge it by adoption.
Gas-free transfers sound useful, but the feature needs real volume. Users have to adopt it. Wallets and apps have to integrate it cleanly. Stablecoin liquidity has to remain deep enough that the experience feels reliable.
The competitive bar is high. Users already move stablecoins across other networks, and many do not care which chain wins as long as the transfer is cheap, fast, and easy. Sui has to prove that removing gas friction is enough to pull activity into its ecosystem.
There is also a sustainability question. If end users are not paying gas directly, someone else is absorbing or sponsoring those costs. That can work well, but the economics need to make sense over time, especially if volume scales.
Still, the direction is right.
Crypto payments will not become mainstream if every transaction requires users to understand the mechanics underneath. The winning experience probably looks boring: open app, send dollars, done.
Sui’s gas-free stablecoin feature moves in that direction. It is not a guarantee that Sui becomes a dominant payments chain, but it gives the network a cleaner user-experience argument at a time when stablecoin competition is becoming more serious.
This article is based on information from Sui Network.
This article was written by the News Desk and edited by Samuel Rae.
This report is based on information released by Sui. at Sui

A hacker tied to the Trusted Volumes exploit has returned 1,122 ETH to the protocol, closing part of a security incident that began with a multi-million-dollar exploit earlier this year.
The on-chain recovery is unusual because the attacker did not return everything. Instead, the wallet linked to the exploit sent back roughly $2 million worth of ETH while retaining another large amount as what now looks like a de facto bounty. That kind of outcome is familiar in DeFi, where projects sometimes negotiate with attackers after an exploit rather than risk losing the full amount forever.
The returned funds matter because they reduce the damage for the protocol and its users. But the structure of the settlement also shows how messy DeFi security remains. When smart contracts fail, the market often ends up relying on public pressure, wallet tracking, and informal negotiation rather than a clean legal process.
Reference: Etherscan
The exploit traces back to a vulnerability in Trusted Volumes’ RFQ swap proxy. According to the on-chain evidence, the May 7 attack drained approximately $5.9 million in assets through a signature-check bypass.
That is the kind of vulnerability that can be especially damaging in DeFi because it sits close to the execution layer of a protocol. If a swap proxy accepts an invalid or improperly checked instruction, an attacker may be able to move funds in a way the system was never meant to allow.
The important update now is the return of 1,122 ETH from the attacker wallet to protocol inventory. The primary source for the story is the wallet and transaction evidence on Etherscan, which shows the recovery leg of the movement.
This does not necessarily mean the protocol has been made whole. It means a meaningful part of the exploited funds has come back.
That distinction matters. A partial recovery can be better than nothing, but it still leaves users and the wider market asking why the vulnerability existed, how quickly it was detected, and whether the protocol has made changes to prevent a repeat.
Crypto has developed a strange pattern around major exploits.
In traditional finance, a theft usually leads to police reports, frozen accounts, and court processes. In DeFi, the first response is often public wallet tracking. The attacker’s address gets labelled. On-chain analysts follow the movement of funds. Protocol teams may publish messages offering a bounty if the money is returned.
Sometimes attackers accept. Sometimes they disappear into mixers, bridges, or exchange routes. Sometimes they return a portion and keep the rest.
That appears to be the shape of this case.
The reason this happens is simple: blockchains make funds visible, but not always recoverable. If an attacker controls the private keys, the protocol cannot simply reverse the transaction. The best practical outcome may be to offer a settlement before the funds are moved further away.
That is uncomfortable, but it is also realistic.
For users, the lesson is that code risk is not abstract. Even protocols with real activity can suffer from a small implementation flaw that becomes a major loss. For developers, the lesson is even sharper: signature validation, access controls, proxy logic, and upgrade paths need aggressive review because attackers only need one weak point.
The return of 1,122 ETH is clearly positive for Trusted Volumes, but it should not be treated as a full reset.
An exploit still happened. Funds were still removed. The attacker still appears to have kept a significant sum. The protocol still needs to show that the underlying issue has been addressed and that users can trust the system going forward.
That matters because DeFi confidence is fragile after security incidents. Users may forgive a protocol that responds quickly, communicates clearly, and recovers funds. They are less forgiving when teams stay vague, downplay the incident, or fail to explain what changed.
The strongest next step for Trusted Volumes would be a clear post-mortem: what failed, how the attacker used it, how the contract logic has been fixed, and whether any user balances remain affected.
Until then, the market can recognise the recovery without pretending the episode is over.
This is also a useful reminder for the wider sector. DeFi security is not only about preventing hacks. It is about incident response, transparency, on-chain monitoring, and whether projects can recover enough trust after something goes wrong.
Trusted Volumes got some funds back. The harder job is proving the system is safer than it was before the exploit.
This article is based on Etherscan wallet and transaction data.
This article was written by the News Desk and edited by Samuel Rae.
This report is based on information released by Etherscan. at Etherscan

The SEC’s crypto rulemaking push has reportedly moved into a White House review stage, putting the market one step closer to seeing how the agency wants to formalize its approach to digital assets.
That matters because the crypto industry has spent years asking for rules instead of enforcement-first regulation. A formal framework would not automatically satisfy everyone, and it may still contain provisions the industry dislikes. But a proposed rule is at least something companies can read, comment on, challenge, prepare for, and compare against existing business models.
The focus on DeFi safe harbors is especially important.
Decentralized finance has always been one of the hardest areas for regulators to handle. A centralized exchange has an operator. A broker has an entity. A fund has a manager. DeFi protocols can involve software, governance tokens, developers, front ends, validators, liquidity providers, and users spread across jurisdictions.
That makes safe-harbor design one of the most important pieces of the next regulatory phase.
The SEC has been criticised for regulating crypto through enforcement rather than clear rulemaking.
That criticism has not only come from crypto companies. It has also appeared in court disputes, commissioner statements, congressional debates, and policy discussions around whether existing securities laws can be applied cleanly to digital assets.
A formal Regulation Crypto proposal would shift the debate into a different arena.
Instead of firms guessing from enforcement cases, the market would be able to evaluate actual proposed language. That matters because rulemaking has a process. Stakeholders can comment. The SEC has to respond. The rule can be challenged. The details become visible.
That does not guarantee a friendly outcome. The SEC could propose strict requirements. It could define intermediaries broadly. It could place heavy burdens on platforms, token issuers, or DeFi interfaces. But even a tough proposal gives the industry something concrete to fight, negotiate, or build around.
The White House review stage is therefore not just a procedural footnote. It suggests the proposal is moving through the machinery that comes before a more public phase.
The phrase “safe harbor” sounds simple, but in DeFi it becomes complicated quickly.
Regulators may want to protect developers who publish code without operating a financial business. They may also want to prevent firms from hiding behind decentralization while effectively running trading platforms, lending markets, or investment products.
Drawing that line is difficult.
A workable safe harbor would need to distinguish between genuine decentralization and disguised control. It would need to consider governance, admin keys, revenue flows, front-end control, protocol upgrades, liquidity incentives, and whether users are relying on an identifiable party.
If the framework is too narrow, it may not help serious builders. If it is too broad, regulators may fear it creates a loophole.
That is why the market will scrutinize the details.
DeFi does not fit neatly into traditional financial categories, but it also cannot remain outside the regulatory conversation forever. The question is whether the SEC can design rules that recognize how decentralized systems work without forcing them into structures built for broker-dealers or exchanges.
Crypto firms often say they want clarity, but clarity can mean different things.
Some want a registration path. Some want proof that certain tokens are not securities. Some want developer protections. Some want room for decentralized networks to mature before full compliance obligations apply. Others want the SEC to give more authority to the CFTC or Congress.
The SEC’s proposal will not satisfy all of those camps.
Still, the rulemaking process could be valuable if it forces the debate into the open. Instead of arguing over speeches and settlements, the industry can respond to actual text.
For investors, that matters because regulatory uncertainty affects market confidence. When rules are unclear, firms delay products, exchanges avoid listings, and institutions add legal-risk discounts. When rules become clearer, even if strict, companies can make decisions.
The biggest risk is that the framework looks like clarity but feels unworkable in practice. If the requirements are too expensive, too vague, or too hostile to decentralized systems, the industry may treat the proposal as another form of pressure rather than a genuine path forward.
The next stage will therefore be crucial.
A well-designed rule could mark a real turn toward crypto market structure. A poorly designed one could deepen the fight between the SEC and the industry.
For now, the market has a signal: the SEC’s crypto framework is moving forward. The details will decide whether that signal is constructive or confrontational.
This article is based on information from the SEC.
This article was written by the News Desk and edited by Samuel Rae.

“CLARITY ACT and its domino effect on DeFi.”

The CLARITY Act is one of the clearest signals that crypto is moving toward a more legible market structure. The bill still has steps before becoming law. The House passed H.R. 3633 on July 17, 2025 by 294–134, and the Senate Banking Committee advanced its version on May 14, 2026 by 15–9. As of July 6, 2026, the process is still active.
Crypto has spent years operating in an environment where serious builders, financial companies, and normal users had to navigate uncertainty before they could even evaluate a product. Clearer categories and responsibilities make the market easier to reason about. They give builders more room to create products people can use without feeling like every step begins inside a gray area.
The CLARITY Act’s push for clearer rules creates more confidence for institutions and companies to build around stablecoins. This is one reason we’re now seeing stablecoins treated as serious financial infrastructure rather than just trading instruments.
On June 30, 2026, Open Standard announced Open USD, a stablecoin project for global money movement with more than 140 businesses signed on across payments, banking, technology, and crypto. The list includes Visa, Stripe, Mastercard, American Express, BlackRock, BNY, Google, Shopify, Coinbase, Base, Aave, Morpho, Fireblocks, MetaMask, and Ledger.
When stablecoins become rails, the next user question becomes practical. If I can hold or move digital dollars through modern apps, what else can I do with them? Due to its familiarity to a currency, stablecoin yield is easier for normal users to understand than many other crypto categories. This is where yield enters the mainstream conversation.
Coinbase’s June 11, 2026 update is a clear example of this shift. The platform added two USDC vault options powered by Morpho and curated by Steakhouse on Base: a Core USDC Vault backed by blue-chip collateral like BTC and ETH, and a High Yield USDC Vault involving a broader set of dynamic collateral, including assets powered by Ethena.
Under that simple surface are lending markets, smart contracts, collateral decisions, vault curators, utilization, liquidity, and rate changes. This packaging is part of how on-chain finance goes mainstream. Most users do not want to become protocol analysts before they can evaluate whether a product fits their needs. They want a product that organizes the information, reduces the operational burden, and gives them enough context to act carefully.
The interface carries more responsibility as the experience gets simpler. If a product makes yield easy to enter, it should also make the source of that yield easy to inspect. If it lets a user deposit, it should also help them understand whether they can exit easily. A high APY number alone does not fully communicate the underlying risks involved. The next front door for on-chain finance should communicate those hidden pieces transparently instead of burying them behind a clean number.
TL;DR: As regulation becomes clearer, stablecoins become rails, and yield becomes easier to reach, the winning interface will be the one that helps users understand the risk and opportunity underneath the button.
What does CLARITY ACT mean for Defi future? was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
One unified margin account. Real performance. Global rails. July 2026 Update.
In a DeFi world still plagued by fragmented liquidity, slow execution, and clunky UX, Hotstuff delivers something refreshingly different: a purpose-built DeFi-native Layer 1 where your capital finally has one home.
No more bridging between perps and spot. No more separate accounts for crypto, equities, or RWAs. Just open one margin account, fund it once, and trade, invest, earn, and bank 24/7 — optimized for non-US retail users who actually move capital.

Most trading apps live on general-purpose chains or rollups that weren’t designed for high-frequency order books, precise margining, or confidential finance. Hotstuff Labs started on Arbitrum Orbit but quickly realized the limitations. They rebuilt as a standalone Layer 1 powered by DracoBFT — their custom consensus protocol from the HotStuff family, heavily tuned for financial workloads.
Performance highlights:
What truly sets it apart are the validators as financial service providers. Beyond consensus, they run side-loops for liquidity routing, fiat orchestration, zkTLS proofs, compliance, and last-mile payments. This architecture turns the chain into active financial infrastructure rather than a passive settlement layer.
The result is sub-second, deterministic execution with strong confidentiality (TEE-powered validator execution and encrypted states).
Perpetual Futures — 22+ markets with up to 50x leverage across crypto, US equities, commodities, FX, and indices. All from one collateral pool, 24/7.
Tokenized Spot Markets — 24/7 trading of real 1:1 backed US stocks and ETFs (Tesla, NVIDIA, Meta, S&P 500, etc.) targeting the $147 trillion global equity market. Launched in May 2026 and already a major growth driver.
Yield & Liquidity — Idle capital earns in protocol vaults (e.g., HLV), while supporting on-chain liquidity and liquidation flows.
Neobanking Rails — Instant fiat on/off-ramps across 190+ countries (USD ACH/Fedwire, EUR SEPA, PIX, SPEI, FPS, etc.). Virtual US accounts and FX swaps make it feel like a borderless trading bank.
Recent Product Wins:
Since private mainnet launch in early February 2026, Hotstuff has shipped aggressively:
The Points Program remains one of the cleanest in the space: hard-capped weekly distributions (currently ~500k points/week to 3,300+ users), no token sales, and purely activity-based. As of July 14, 2026, we are in Week 19, with the program on track to conclude in Q3 ahead of a potential TGE.
Running from June 30 to July 19 (final week right now), this 19-day competition perfectly captures Hotstuff’s gamified approach:
This isn’t just another volume grind — it’s engaging, skill-based, and levels the field for consistent traders.
Backed by Delphi Ventures, Dialectic, Stake Capital, and DeFi OGs (1inch, Safe, etc.), the project continues to prioritize product velocity and organic growth over hype.
Hotstuff isn’t trying to be everything to everyone. It’s laser-focused on becoming the financial OS for global retail traders — fast, capital-efficient, confidential, and actually usable.
While the token isn’t live yet, the signals are strong: own L1, capped points, real revenue-generating activity, and rapid iteration. For those willing to engage early, Week 19 of the points program and the final stretch of the FIFA Volume Cup represent one of the more compelling setups in DeFi right now.
Ready to explore?
→ hotstuff.trade
→ Docs: docs.hotstuff.trade
→ Twitter: @tradehotstuff
Trade responsibly. This is not financial advice.
Hotstuff: The DeFi-Native Layer 1 Built for Traders Who Actually Trade, Invest, and Bank was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.