MR D 695

If you’ve spent any real time in crypto, you already know this uncomfortable truth: blockchains are only as smart as the data they can access. A blockchain can be fast, decentralized, and incredibly secure, but without accurate real-world data, it’s basically operating in a vacuum. Prices, interest rates, game outcomes, stock values, weather data, NFT metadata, even something as simple as “did this event actually happen?” — none of that exists natively on-chain.

That gap between blockchains and real-world information is where oracles come in. And it’s also where things tend to break. Bad data leads to bad trades, exploited protocols, liquidations that shouldn’t have happened, and billions lost. This is exactly the problem @APRO Oracle is built to address, and it’s doing it in a way that feels far more practical, flexible, and forward-looking than most people realize.

APRO isn’t trying to be flashy. It’s trying to be reliable. And in the oracle world, reliability is everything.

At its core, APRO is a decentralized oracle network designed to deliver accurate, secure, and real-time data to blockchain applications. But that sentence alone doesn’t really capture what makes it different. To understand APRO properly, you have to look at how it approaches data, how it verifies that data, and how it fits into the growing multi-chain reality of Web3.

Let’s start with the basics and then go deeper.

Blockchains, by design, are closed systems. They can’t directly pull information from the outside world. A smart contract can’t check the price of Bitcoin on its own. It can’t verify the outcome of a football match or confirm whether a real estate transaction closed. An oracle acts as the bridge, fetching that information and feeding it into the blockchain in a way that smart contracts can use.

The problem is that this bridge is also the weakest point. If an oracle is centralized, manipulated, slow, or inaccurate, the entire application built on top of it is at risk. APRO was designed with this exact risk in mind.

Instead of relying on a single data source or a single method of delivery, APRO uses a hybrid approach that combines off-chain and on-chain processes. This might sound technical, but the idea is simple: gather data from multiple sources off-chain, verify and process it intelligently, then deliver it on-chain in a way that smart contracts can trust.

One of APRO’s standout features is how it delivers data through two distinct methods: Data Push and Data Pull.

Data Push is exactly what it sounds like. APRO continuously updates and pushes data to the blockchain at predefined intervals. This is ideal for use cases where freshness is critical. Think price feeds for DeFi protocols, perpetual futures, lending platforms, or anything where a delay of even a few seconds can cause real financial damage. With Data Push, smart contracts always have access to the latest available information without needing to ask for it.

Data Pull works differently. Instead of data being constantly updated, a smart contract requests the data only when it needs it. This is especially useful for applications where constant updates would be wasteful or expensive. Gaming logic, NFT metadata, insurance claims, and certain enterprise use cases often don’t need second-by-second updates. Data Pull keeps costs lower while still maintaining accuracy and security.

By offering both models, APRO gives developers flexibility. They’re not forced into a one-size-fits-all approach, which is something many oracle networks still struggle with.

Now let’s talk about verification, because this is where APRO really starts to separate itself.

One of the biggest challenges in oracle design is ensuring that the data being delivered is actually correct. APRO tackles this using AI-driven verification mechanisms. Instead of blindly trusting a single feed, the system evaluates multiple inputs, checks for anomalies, detects outliers, and flags suspicious data before it ever reaches the blockchain.

This doesn’t mean APRO is replacing decentralization with artificial intelligence. It means AI is being used as an additional layer of intelligence, helping the network make better decisions about which data is trustworthy and which isn’t. Think of it as a smart filter rather than a central authority.

On top of that, APRO integrates verifiable randomness. This is a critical feature for applications like gaming, NFT minting, lotteries, and any system where fairness depends on unpredictability. Verifiable randomness ensures that outcomes can’t be manipulated by validators, developers, or external actors. The randomness can be independently verified on-chain, which is essential for trustless systems.

Security doesn’t stop there. APRO operates using a two-layer network architecture. While the exact implementation details can evolve over time, the concept is straightforward: separate responsibilities to reduce risk. One layer focuses on data aggregation and verification, while the other handles delivery and interaction with smart contracts. This separation helps prevent single points of failure and makes the entire system more resilient to attacks.

Another area where APRO shines is asset coverage.

Many oracle networks focus almost exclusively on crypto price feeds. APRO goes much further. It supports a wide range of asset types, including cryptocurrencies, stocks, commodities, real estate data, gaming assets, and more. This broader scope opens the door to use cases that go beyond traditional DeFi.

Imagine decentralized platforms that offer exposure to real-world assets, on-chain insurance products that rely on external event data, or gaming ecosystems that need reliable off-chain inputs. APRO is designed to support all of this without forcing developers to stitch together multiple oracle solutions.

Equally important is APRO’s multi-chain support. The blockchain world is no longer dominated by a single network. Ethereum, BNB Chain, Polygon, Arbitrum, Optimism, Avalanche, Solana, and dozens of others all coexist, each with its own strengths and trade-offs. APRO supports over 40 different blockchain networks, which makes it highly adaptable in a fragmented ecosystem.

For developers, this means one oracle solution can scale across chains. For projects, it means smoother expansion without needing to rebuild infrastructure every time they deploy to a new network.

Cost efficiency is another practical consideration that often gets overlooked in flashy marketing. Oracles aren’t free, and poorly designed systems can become expensive fast. APRO addresses this by working closely with underlying blockchain infrastructures and optimizing how data is delivered. The combination of Data Push and Data Pull, along with intelligent update intervals, helps reduce unnecessary transactions and gas usage.

Integration is also intentionally developer-friendly. APRO is built to be easy to plug into existing systems. Clear interfaces, straightforward deployment, and compatibility with popular development tools mean teams can focus on building products instead of wrestling with infrastructure.

What makes APRO especially interesting is how it aligns with where Web3 is heading rather than where it’s been. The future isn’t just about DeFi price feeds. It’s about hybrid applications that connect on-chain logic with off-chain reality. It’s about games that feel fair, financial products that respond to real-world conditions, and decentralized systems that can actually scale beyond niche use cases.

APRO positions itself as an enabling layer for all of that.

From a broader perspective, APRO also reflects a shift in how oracle networks are being designed. Early oracles proved that the concept worked. The next generation has to prove that it works securely, efficiently, and at scale. That’s where features like AI-driven verification, layered architecture, and flexible data delivery models become essential rather than optional.

It’s also worth noting that APRO isn’t trying to replace blockchains or compete with them. It’s designed to complement them. By integrating deeply with blockchain infrastructures, APRO reduces friction instead of adding more complexity. This cooperative approach often matters more in the long run than aggressive disruption narratives.

For users, most of APRO’s work happens behind the scenes. You don’t “use” APRO directly in the same way you use a wallet or a DEX. Instead, you benefit from it indirectly when a protocol functions smoothly, prices are accurate, games are fair, and smart contracts behave as expected.

That’s actually a sign of good infrastructure. When it works well, you barely notice it.

Looking ahead, the importance of reliable oracles is only going to increase. As more value moves on-chain and as decentralized applications start handling more complex, real-world interactions, the demand for trustworthy data will grow. Projects that get this wrong will fail quietly or catastrophically. Projects that get it right will become invisible pillars of the ecosystem.

APRO is clearly aiming to be one of those pillars.

It’s specific in what it offers, flexible in how it delivers, and thoughtful in how it balances innovation with practicality. It doesn’t rely on hype alone. It focuses on solving real problems that developers and protocols face every day.

In a space where narratives often change faster than technology, APRO feels grounded. It’s built around the idea that accurate data isn’t optional, security isn’t negotiable, and scalability isn’t a future feature, it’s a present requirement.

For anyone building in Web3, understanding oracle infrastructure isn’t just a technical detail anymore. It’s a strategic decision. And APRO is positioning itself as a serious option for teams that want their applications to work not just in theory, but in the real world.

That’s ultimately what APRO is about. Connecting blockchains to reality in a way that’s reliable, secure, and built for what comes next.
@APRO Oracle #APRO $AT

Crypto has a noise problem. Everyone wants your attention, everyone claims they’ve solved DeFi, and everyone promises returns that sound great until you actually try using the product. If you’ve been around long enough, you can spot these patterns from a mile away.

That’s why @Falcon Finance feels different.

It’s not trying to dominate your feed or scream about being “the next big thing.” It’s doing something much quieter, and honestly, much harder. It’s trying to build a DeFi platform that people can actually trust, use, and stick with over time.

Falcon Finance is one of those projects that doesn’t make sense if you only look at it for five minutes. You need to sit with it a bit. Click around. Understand why things are structured the way they are. And once you do, you start to see the thinking behind it.

At its core, Falcon Finance is about using capital intelligently. Not aggressively. Not recklessly. Just intelligently.

That alone already puts it in a different category than most DeFi protocols.

A lot of platforms push complexity onto users. They give you endless pools, confusing metrics, and vague descriptions, then expect you to somehow manage risk on your own. Falcon Finance takes the opposite approach. It acknowledges something most projects don’t want to admit: not everyone wants to be a full-time yield farmer.

Some people just want their assets to work for them without feeling like they’re spinning a roulette wheel.

Falcon Finance is built for those people.

The whole idea revolves around structured yield strategies. Instead of asking users to figure out which pool is safe, which one is over-leveraged, and which one might blow up next week, Falcon Finance packages strategies in a way that’s easier to understand. You’re not just depositing funds. You’re choosing a strategy with a clear purpose.

That might sound simple, but in DeFi, simplicity is rare.

What’s refreshing is that Falcon Finance doesn’t pretend risk doesn’t exist. It doesn’t hide behind fancy dashboards or inflated APYs. The risks are acknowledged upfront, and the strategies are designed with those risks in mind. That honesty goes a long way, especially in a space where trust has been burned more times than anyone can count.

The “Falcon” name actually fits really well when you think about it. Falcons don’t waste energy. They don’t panic. They observe, wait, and move with precision. That’s very much the mindset behind this platform. Falcon Finance isn’t about chasing every opportunity. It’s about choosing the right ones and executing them well.

One thing you notice quickly is that the user experience feels intentional. This isn’t a platform thrown together just to capitalize on a trend. The layout, the flow, the way information is presented — it all feels like someone actually asked, “How would a real user feel using this?”

That matters more than people realize.

Falcon Finance also puts a lot of emphasis on sustainability. And not in the vague, marketing sense. In a very practical way. The team clearly understands that short-term incentives attract short-term users. If you build everything around emissions, you end up with liquidity that disappears the moment rewards drop.

Instead, Falcon Finance focuses on real yield. Returns that come from actual economic activity, not just token inflation. That approach might grow slower, but it’s far more durable. And in DeFi, durability is everything.

Another strong point is capital efficiency. Deposited assets aren’t just parked somewhere and forgotten about. They’re actively deployed in ways that aim to extract value while keeping exposure under control. This is where Falcon Finance starts to feel more like traditional finance, but with DeFi flexibility.

It’s not trying to reinvent finance from scratch. It’s taking proven financial ideas and applying them in a decentralized environment.

That balance is hard to get right, but Falcon Finance seems very aware of it.

Tokenomics is another area where the project takes a measured approach. The token isn’t treated like a marketing gimmick. It’s designed to align incentives between users and the protocol over the long term. That usually means fewer fireworks early on, but a much healthier system down the road.

Governance also feels purposeful. It’s not just there so the project can say it’s decentralized. The idea is to let actual users influence how Falcon Finance evolves. Strategy updates, integrations, and long-term decisions are meant to reflect what benefits the ecosystem as a whole, not just short-term price action.

Falcon Finance doesn’t operate in isolation either. It integrates with existing DeFi infrastructure rather than trying to replace everything. That’s a smart move. DeFi works best when protocols complement each other instead of competing for the same ground.

Security is taken seriously, which sounds obvious, but sadly isn’t. Falcon Finance approaches development cautiously. Audits, controlled rollouts, and thoughtful contract design are part of the process. There’s no rush to ship half-baked features just to stay relevant on social media.

The community around Falcon Finance reflects this mindset. You don’t see endless moon talk or emotional price debates. The conversations are more grounded. People talk about strategy performance, updates, and long-term expectations. That’s usually a sign of a healthier ecosystem.

Falcon Finance clearly isn’t built for everyone. If you’re chasing meme pumps or looking for instant gratification, this probably isn’t your playground. But if you’re someone who sees DeFi as a financial tool rather than a casino, Falcon Finance makes a lot of sense.

It also does a good job of educating users without being patronizing. Information is there when you need it. Concepts are explained without oversimplifying. That builds confidence, and confident users tend to stick around.

Over time, this kind of approach compounds. Trust builds slowly, but once it’s there, it’s hard to shake. Falcon Finance seems focused on that long game.

Zooming out, Falcon Finance feels like part of DeFi’s next chapter. The early days were about experimentation and speed. Now, users want structure, reliability, and platforms that don’t collapse the moment market conditions change.

Falcon Finance is built with that reality in mind.

It doesn’t overpromise. It doesn’t oversell. It lets the product speak for itself. That might not win every attention battle, but it builds something far more valuable in the long run.

In a market that’s obsessed with hype, Falcon Finance chooses discipline. In a space that loves shortcuts, it chooses structure. And in an industry that often forgets basic financial principles, Falcon Finance quietly brings them back to the center.

It’s not flashy. It’s not loud. But it feels real.

And sometimes, that’s exactly what DeFi needs.
@Falcon Finance $FF
#FalconFinance

Most crypto projects announce themselves loudly. They show up with bold claims, aggressive timelines, and a sense of urgency that feels forced. Everything is positioned as revolutionary, even when it clearly is not. @KITE AI takes a very different approach. It does not try to dominate attention. It does not rely on exaggerated promises. Instead, it exists almost quietly, focusing on a problem that is growing faster than most people realize.

That problem is not crypto adoption. It is not scalability. It is not even artificial intelligence itself. The real issue is what happens when AI systems stop being passive tools and start acting independently in the world.

To understand why GoKiteAI matters, you have to step back and look at how AI is actually evolving. Right now, most AI systems live inside controlled environments. They respond to prompts, follow rules, and operate under strict supervision. Even the most advanced models are still boxed into platforms owned by companies. They can assist, recommend, and automate, but they cannot truly participate in an open economy.

That is already starting to feel outdated.

The direction is clear. AI systems are becoming agents. Not just software that reacts, but systems that observe, decide, execute, and adapt. These agents are already managing workflows, placing trades, analyzing markets, negotiating ad placements, coordinating logistics, and writing code that writes more code. Over time, they will do much more. They will hire other agents. They will purchase data. They will pay for compute. They will collaborate and compete with each other at machine speed.

The moment you picture that future clearly, a basic question appears. Where does all this activity happen.

Traditional blockchains were not built for this world. They were designed around human behavior. Wallets, signatures, manual approvals, slow decision cycles. AI agents do not work that way. They move faster. They operate continuously. They make decisions based on logic rather than emotion. They require systems that can support high frequency interactions, automated payments, verifiable execution, and persistent identity.

GoKiteAI exists because that gap is becoming impossible to ignore.

Instead of trying to be a general blockchain that serves every use case, Kite narrows its focus deliberately. It is designed as infrastructure for an agent driven economy. A place where AI agents can interact with each other economically in a way that is transparent, auditable, and autonomous.

This shift in focus is subtle, but it changes everything. Most blockchains treat AI as an application layer. Kite treats AI agents as first class participants. That distinction is not marketing. It affects how the system is designed at every level.

In the Kite ecosystem, agents are not just users. They have identities. They can hold balances. They can stake. They can execute conditional payments. They can participate in governance logic indirectly through predefined rules. This creates a foundation where machine to machine coordination is not a workaround. It is the default.

One of the smartest decisions behind GoKiteAI is that it does not try to compete with AI model builders. It does not care whether an agent runs on a proprietary model, an open source framework, or something not yet invented. Kite sits underneath all of that. It provides the economic and coordination layer that any agent can plug into.

This matters because models change quickly. Infrastructure does not. The history of the internet shows this clearly. The companies that built protocols, rails, and payment systems often outlasted the applications built on top of them. Kite is positioning itself in that same category.

At the heart of the network is the KITE token. It is not decorative. It is functional. The token is used for payments between agents, staking by validators and service providers, governance decisions, and network incentives. When the ecosystem is active, the token is in motion. When activity slows, the token reflects that reality.

From a design perspective, this is honest. There is no artificial value creation. Usage drives demand. Demand supports security and development. That alignment is rare in crypto, where many tokens exist without a clear connection to real activity.

For investors, this creates a very different risk profile. KITE is not a short term narrative token. It is tied to the growth of an ecosystem that may take time to mature. If autonomous agents become a core part of digital infrastructure, the token benefits. If that future is delayed, the token does not hide it.

Timing, therefore, becomes the central risk.

The agent economy is coming, but it is not fully here yet. Some days it feels close. Other days it feels distant. Infrastructure built too late misses the opportunity. Infrastructure built too early must survive long enough to matter. GoKiteAI is clearly choosing the second path.

What strengthens that choice is the focus on developers and real use cases. Kite is not just launching a chain and hoping people show up. It is building tools, primitives, and marketplaces that make sense for autonomous systems. This includes programmable escrow, agent registries, reputation mechanisms, and verifiable execution flows.

For developers, this reduces friction. Instead of stitching together multiple platforms, they can build agents that operate natively within an economic framework. Payments become part of logic. Trust becomes programmable. Coordination becomes enforceable.

For users, the benefits are less technical but more important. Transparency and accountability. If an AI agent is managing funds, making decisions, or coordinating services, you want visibility. On chain execution provides an audit trail. Actions can be traced. Outcomes can be verified. This is not about decentralization for ideology. It is about trust in automated systems.

Of course, no serious project is without challenges. Competition will emerge. Other teams will explore different approaches to AI and blockchain integration. Some may focus on Layer two solutions. Others may embed agent functionality into existing chains. Kite will need to prove that specialization is not just interesting, but necessary.

Adoption will not be smooth. Developers move cautiously. Enterprises move even slower. Markets will speculate ahead of usage, then lose patience, then rediscover value later. This cycle is familiar to anyone who has been in crypto long enough.

The key question surrounding GoKiteAI is simple. Do autonomous agents need infrastructure built specifically for them, or can existing systems stretch far enough to support their needs.

If the answer is yes, Kite becomes highly relevant.

If the answer is no, Kite still pushes the industry forward by forcing better questions and better designs.

That is not a weak position. It is an honest one.

What truly stands out about GoKiteAI is its understanding of coordination. Intelligence alone is not enough. Systems fail not because they lack intelligence, but because they lack alignment. Markets exist because coordination is hard. Governance exists because incentives matter. Kite treats these realities seriously.

By embedding coordination mechanisms into the foundation, GoKiteAI is not just enabling AI to act. It is enabling AI to act responsibly, predictably, and within defined economic boundaries. That may not sound exciting, but it is exactly what scalable systems require.

KITE is not a lottery ticket. It is an infrastructure bet. A long term position on how the internet evolves when machines stop being tools and start being participants. It is a bet that autonomy requires rules, that speed requires structure, and that trust must be engineered, not assumed.

Whether you are an investor, a builder, or simply someone trying to understand where AI and crypto are really heading, GoKiteAI deserves more than a surface level look. It represents a shift that will likely feel obvious in hindsight, even if it feels subtle today.

The most important changes rarely announce themselves loudly. They do not chase attention. They build quietly, patiently, and correctly. They wait for the world to catch up.

GoKiteAI is doing exactly that.
@KITE AI #KİTE $KITE

Bitcoin has never had an identity problem. Everyone knows what it is. What it has had, for a long time, is a usability problem. Trillions in value sit locked inside an asset that’s incredibly secure but stubbornly difficult to work with. You can hold it, send it, or sell it — and that’s mostly where the story ends. The moment you want yield, structured exposure, or professional-grade financial strategies, Bitcoin suddenly feels like it’s stuck in a different era.

@Lorenzo Protocol exists because of that gap.

Instead of trying to change Bitcoin, Lorenzo builds around it. The protocol is designed to take Bitcoin liquidity and place it inside clean, transparent, on-chain financial structures that actually make sense to both crypto-native users and institutions. No gimmicks. No exaggerated promises. Just structure, clarity, and execution.

At its core, Lorenzo isn’t trying to make Bitcoin riskier or flashier. It’s trying to make it useful.

Why Bitcoin needs structure, not more hype

Bitcoin’s simplicity is its superpower. But that same simplicity becomes a limitation once you move beyond holding. Most BTC yield products today fall into two categories: basic lending or overly complex strategies that users don’t fully understand. Institutions, especially, stay away from both. They want predictable rules, transparent reporting, and clearly defined risk.

Lorenzo’s approach feels closer to traditional finance than typical DeFi. Instead of telling users to manage strategies themselves, it packages professional strategies into products that behave like funds. You don’t interact with chaos. You interact with exposure.

That difference matters more than it sounds.

On-Chain Traded Funds: familiar, but built for crypto

The centerpiece of Lorenzo Protocol is the On-Chain Traded Fund, or OTF. If you’ve ever traded ETFs, you already understand the concept. An OTF represents exposure to a complete strategy rather than a single asset.

You’re not buying a token and hoping demand increases. You’re buying into a defined financial approach — a structured BTC yield strategy, a volatility play, or a diversified multi-strategy vault. The OTF itself is tradable, meaning you can enter or exit without waiting on withdrawals or manual unwinding.

From the user side, it’s refreshingly simple. From the backend, it’s highly structured.

That’s intentional.

Vaults that actually behave like financial infrastructure

Every OTF is powered by a vault. Vaults pool capital and execute strategies based on predefined rules. They aren’t experimental yield farms or loosely defined contracts. Each vault has a clear purpose, risk limits, and execution logic.

Some vaults focus on a single strategy. Others combine multiple approaches depending on market conditions. What matters is that strategy execution is separated from user interaction. That separation makes the system more resilient, more auditable, and far easier to scale.

This is the kind of architecture you don’t build if you’re chasing fast attention. You build it if you’re planning to be around.

The Financial Abstraction Layer: where Bitcoin meets modern finance

Bitcoin wasn’t built for smart contracts, and that’s not a weakness. But it does mean that advanced financial strategies need a bridge between Bitcoin’s security and the flexibility of modern DeFi environments.

Lorenzo’s Financial Abstraction Layer handles that bridge. It manages custody logic, settlements, cross-chain interactions, and strategy coordination so vaults and funds can function smoothly without compromising transparency.

For institutions, this layer is essential. It allows integration with custody providers, reporting systems, and internal risk frameworks. For regular users, it simply means the product works without unnecessary friction.

Good infrastructure is invisible when done right. Lorenzo understands that.

The token and governance model

Lorenzo’s native token plays a supporting role rather than stealing the spotlight. It’s used for governance, coordination, and incentive alignment across the ecosystem. Token holders help guide protocol-level decisions, including which strategies are approved and how the treasury is managed.

Governance isn’t reckless or purely reactionary. Lorenzo combines on-chain voting with internal review processes and professional oversight. That hybrid model might not satisfy maximalist decentralization debates, but it’s exactly what institutions look for.

And institutions are clearly part of the plan.

Security, audits, and honest risk

Lorenzo doesn’t pretend risk doesn’t exist. It addresses it head-on. The protocol maintains public documentation, open-source contracts, and third-party audits. Users can inspect how things work rather than relying on marketing claims.

That doesn’t mean losses are impossible. Market conditions change. Strategies can underperform. Execution risk is real. What Lorenzo offers is not safety guarantees, but clarity. You know what you’re exposed to and why.

In crypto, that’s rare — and valuable.

What a real Lorenzo product looks like in practice

Picture a Bitcoin structured yield OTF. Users deposit BTC or a BTC-backed asset into a vault. The vault executes a defined options strategy, collecting premiums while managing downside risk within set boundaries. Performance is tracked, costs are transparent, and exposure is represented by a single tradable token.

You don’t manage trades. You don’t rebalance positions. You simply hold the OTF or trade it when your outlook changes.

That’s the experience Lorenzo is trying to normalize.

Who Lorenzo is really built for

Lorenzo isn’t trying to attract everyone. It’s designed for people who care about structure.

Long-term BTC holders who want yield without micromanagement
Institutions looking for transparent, on-chain financial products
Traders who understand fund-style exposure
Strategy managers who want distribution without infrastructure headaches

If that sounds like you, Lorenzo makes sense. If you’re chasing hype cycles, it probably won’t.

The risks no one should ignore

Structured products come with trade-offs. Volatility spikes can hurt performance. Smart contract risk never fully disappears. Off-chain execution requires trust in systems and processes.

Lorenzo mitigates these risks with design, audits, and governance, but it doesn’t eliminate them. The protocol expects users to act like investors, not gamblers.

That expectation alone sets the tone.

Why Lorenzo Protocol matters

Crypto doesn’t mature through memes alone. It matures through infrastructure that works quietly in the background. Lorenzo Protocol is building that kind of infrastructure for Bitcoin.

It’s not trying to change what Bitcoin is. It’s trying to give Bitcoin a financial layer that respects its principles while expanding its usefulness.

That may not be the loudest strategy in the market — but it’s often the one that lasts.
@Lorenzo Protocol
$BANK #lorenzoprotocol