SQD just went through a long liquidation worth $1.09K at $0.211, showing leveraged buyers were forced out of their positions. These shakeouts often add short-term pressure but can also clear the way for the next strong move.
Key Levels to Watch: • Support: $0.207 → must hold to keep bullish hopes alive. • Resistance: $0.216 → breakout here could attract new buying momentum.
Market Insight: The liquidation signals weakness, but SQD is sitting close to its support base. If buyers defend this zone, we could see a rebound toward resistance. A failure to hold may push price into deeper retracement.
Holoworld AI: Where AI Agents, Creators, and Web3 Come Together
A New Digital Frontier
The way we create and share digital content is changing fast. AI is powerful, but most tools today aren’t built with creators truly in mind. Web3 promises ownership and fair monetization, yet for many artists and innovators, it still feels clunky and underdeveloped. And while AI agents are getting smarter, they’re still cut off from the decentralized world of tokens, DAOs, and DeFi.
This is exactly where Holoworld AI steps in. The project’s mission is bold: give creators an AI-native studio, help them launch and monetize tokens fairly, and connect AI agents directly into the Web3 economy.
Think of it as a place where AI meets ownership, creativity meets monetization, and digital agents finally step into the blockchain world.
The Problems Holoworld Wants to Solve
Tools aren’t built for AI-native creators – Most content tools don’t support advanced agent features like memory or collaboration. Monetization is broken – Even if you make great AI-driven content, turning that into real, sustainable income is hard. AI agents live in silos – They exist in apps or closed platforms, but can’t naturally interact with blockchains, tokens, or DAOs.
Holoworld believes solving these three pain points will unlock the next wave of creator-led digital economies.
Inside the Holoworld Ecosystem
Holoworld isn’t just one product—it’s a stack of tools that work together. Here’s what makes it unique:
1. Ava Studio – An AI Studio for Everyone
A no-code studio where you can turn text into video, bring characters to life, and build AI agents with personalities. Want a virtual YouTuber? Or an agent that streams 24/7? Ava makes that possible without needing to code or hire a production team.
2. HoloLaunch – Fair Token Launches
Instead of forcing creators to rely on generic launchpads, HoloLaunch is purpose-built for IP and AI-native projects. Creators can raise funds, launch tokens fairly, and design reward systems for their communities—all tied back to their digital IP.
3. OpenMCP – Agents Go On-Chain
This is one of Holoworld’s most exciting ideas. OpenMCP acts as a bridge that allows AI agents to interact directly with Web3 protocols—whether that’s DeFi, NFTs, or DAO governance. Imagine an AI agent that can vote in a DAO, manage digital assets, or even run a business—all on-chain.
4. Agent Marketplace & Registry
Holoworld is also building a market where creators can mint and trade agents. Each agent is an on-chain digital asset with its own identity, voice, and memory. Want to buy, sell, or license an AI influencer? This marketplace makes it real.
5. Memory & Context
Unlike simple chatbots, Holoworld agents have long-term memory (powered by vector databases) and can act in context—recalling past interactions or fetching real-time data. That makes them feel more alive and more useful across apps, games, and social platforms.
The HOLO Token – Fueling the Ecosystem
Holoworld runs on its native token, HOLO, which plays several roles:
Utility: Used to pay for agent creation, rendering, API calls, and content generation. Staking: Holders can stake tokens for access to premium features or early token launches. Governance: The community helps steer the project by voting on proposals. Rewards: A share of the tokens goes back to creators and community members to keep the ecosystem thriving.
Supply details:
Total supply: 2.048 billion HOLO Circulating at launch: ~347 million (about 17%) Distribution: community rewards (~40%), team (~20%), private sale (~15%), public sale (~15%), and platform/marketing (~10%). Bonus: Binance ran a 30.7M HOLO airdrop to BNB holders to kick things off.
Why Holoworld Stands Out
AI + Web3 integration: Most projects focus on just one. Holoworld is fusing them. Built for creators: Ava Studio and HoloLaunch lower the barrier for artists, storytellers, and influencers. Fair token launches: The launchpad is creator-first, not VC-first. Agent economy: Instead of static NFTs, Holoworld pushes living, interactive digital beings into the market. Interoperability: Agents aren’t trapped—they can work across chains, dApps, and ecosystems.
Real-World Use Cases
Virtual influencers & VTubers that fans can interact with 24/7. NFT collections that talk back—imagine owning an NFT character that chats with you daily. Brands & IP going digital—celebrities or shows can launch AI avatars as fan ambassadors. Metaverse & gaming agents that guide players, run quests, or host events. DAO governance bots that represent you in on-chain votes or financial decisions.
Challenges Ahead
Of course, the road isn’t easy. Holoworld still faces:
Technical hurdles in making agents fast and affordable. The need for strong adoption to avoid being a “ghost town.” Competition from other AI + Web3 players. Regulatory uncertainty around AI content ownership. Token inflation risks as supply unlocks.
But if they can navigate these challenges, the upside is massive.
The Roadmap So Far
Studio & Agent Market: Already live in beta. Token Launch: HOLO listed on Binance and HTX in Sept 2025. Funding: Raised $6.7M in private and public rounds. Next steps: Livestreaming features, more brand/IP partnerships, and expanding OpenMCP to connect agents with major dApps.
The Big Picture
Holoworld AI isn’t just another crypto token or another AI tool—it’s a vision of what happens when AI agents become active participants in the digital economy.
If the team delivers, we may see a future where creators can launch digital stars as easily as starting a YouTube channel, and where AI agents don’t just assist us—they own assets, earn revenue, and build communities right alongside us.
It’s ambitious, it’s risky, and it’s exciting. Holoworld is betting on a world where creators, agents, and Web3 all thrive together. @Holoworld AI
MITO just experienced a long liquidation of $1.37K at $0.16203, showing leveraged buyers were forced out. These shakeouts often spark volatility and set the stage for the next decisive move.
Key Levels: • Support: $0.159 → holding this zone is critical for bulls. • Resistance: $0.166 → reclaiming this area could open the door to fresh momentum.
Market Insight: The liquidation signals weakness, but MITO is hovering close to strong support. If buyers defend this base, a rebound toward resistance is likely. A failure here, however, could extend the decline.
SOL just triggered a short liquidation of $40.50K at $196.85, showing bears got squeezed as buyers pushed price higher. These squeezes often act as fuel for momentum-driven rallies.
Key Price Zones: • Support: $192.50 → strong base that keeps bulls in control. • Resistance: $200.00 → breaking this psychological barrier could invite heavy buying.
Market View: With shorts wiped out, SOL has a window to extend gains. Holding above support strengthens bullish conviction, while a breakout past resistance may send price racing toward new highs.
COAI just went through a long liquidation worth $1.07K at $0.15109, showing leveraged buyers got shaken out. These liquidations often spark short-term volatility and highlight key decision zones for traders.
Levels to Watch: • Support: $0.148 → crucial floor to keep bulls in play. • Resistance: $0.155 → reclaiming this level could ignite bullish momentum.
Market Outlook: The flush signals pressure, but COAI is trading close to its support base. If buyers step up here, a rebound toward resistance is on the cards. A breakdown below support, however, may extend the pullback.
ETH just saw a massive short liquidation of $391.46K at $3914.56, proving that bears got squeezed hard as price momentum pushed higher. This kind of liquidation often fuels further upside when combined with strong demand.
Key Levels in Focus: • Support: $3,870 → must hold for bulls to maintain control. • Resistance: $3,980 → a clean breakout here could pave the way to $4,050+.
Market Insight: Short liquidations usually act as rocket fuel for rallies. If ETH holds above support, bulls could drive the next leg higher. Failure to sustain may trigger consolidation before the next big push.
UB just recorded a long liquidation of $1.08K at $0.02949, showing that buyers with leverage were pushed out. Such moves usually inject volatility and set the stage for a bigger price reaction.
Crucial Price Levels: • Support: $0.0287 → key zone that must hold to avoid further downside. • Resistance: $0.0308 → reclaiming this area would signal bullish momentum.
Market Outlook: The shakeout suggests weakness, but UB is still trading close to support. If buyers defend this base, we could see a rebound. On the other hand, a failure here might drag the token into deeper correction territory.
Alien Worlds (TLM) just faced a long liquidation of $4.91K at $0.00388, signaling leveraged buyers were forced out. This kind of flush often shakes weak hands and sets the stage for sharper market moves.
Key Price Zones: • Support: $0.0037 – crucial base for bulls to defend. • Resistance: $0.0041 – a breakout here could attract strong buying interest.
Market Insight: The liquidation shows downside pressure, but with price hovering near major support, a rebound attempt is possible. A break below could extend losses, while a move above resistance may confirm recovery momentum.
Verge (XVG) just went through a long liquidation worth $3.37K at $0.00467, showing that leveraged buyers got shaken out. Such events usually add volatility and clear weak positions before the next move.
Key Levels to Track: • Support: $0.0045 → holding here keeps the structure intact. • Resistance: $0.0049 → reclaiming this zone could spark bullish continuation.
Outlook: The liquidation highlights selling pressure, but XVG is hovering near critical support. If buyers defend this area, a rebound toward resistance is likely. A failure here could open the door to deeper pullbacks.
JOE just witnessed a long liquidation of $11.56K at $0.1508, signaling that leveraged buyers got wiped out. This flush often precedes volatility and could open the door for the next big move.
Key Levels to Monitor: • Support: $0.147 – must hold to prevent deeper losses. • Resistance: $0.156 – a breakout above here could trigger fresh momentum.
Market View: The liquidation reflects short-term pressure, but if JOE stabilizes above support, it may stage a recovery. Bulls need strength above resistance to regain control.
SKATE just saw a long liquidation of $1.48K at $0.05418, signaling that leveraged buyers couldn’t hold their ground. This flush often creates volatility and sets up a decisive move next.
Critical Levels: • Support: $0.0525 – buyers must defend this zone to avoid deeper downside. • Resistance: $0.0562 – reclaiming this could trigger bullish momentum.
Market Take: The liquidation reflects short-term weakness, but SKATE is hovering near an important support base. If it holds, we may see a rebound attempt. A push past resistance would confirm strength and attract fresh demand.
Boundless: Building the Internet’s Shared Engine for Zero-Knowledge Proofs
Subtitle: How Boundless turns heavy computation into a service, letting blockchains, rollups, and apps scale without reinventing the wheel.
The problem Boundless is solving
Zero-knowledge proofs (ZKPs) are one of the most powerful technologies in Web3. They let us prove something is true—like a transaction, a program’s execution, or even a chain’s state—without revealing everything that happened under the hood.
The catch? Generating these proofs is really expensive. Every rollup, every chain, every project trying to adopt ZK today faces the same bottleneck: they either need to build their own costly prover infrastructure or settle for slower, less secure alternatives.
Boundless was created to break that cycle.
What is Boundless?
Think of Boundless as a “proof factory” for the whole ecosystem. Instead of every blockchain running its own machines to create proofs, Boundless provides a shared marketplace where independent prover nodes compete to do that work.
Here’s the magic:
Heavy lifting happens off-chain. Boundless uses zkVMs (zero-knowledge virtual machines) to crunch computations in powerful servers and GPUs.
Lightweight checks happen on-chain. Once the work is done, a tiny proof is sent back to the blockchain, where verifying it costs almost nothing.
Anyone can tap in. Rollups, dApps, and even entire blockchains can request proofs through Boundless’s SDKs and infrastructure.
The result? Faster throughput, cheaper verification, and a way for projects to upgrade to ZK security without rebuilding the wheel.
How it works — the simple version
1. A blockchain or app makes a request. For example, a rollup wants to finalize a batch of transactions with a ZK proof.
2. Provers bid to do the job. Boundless runs a decentralized marketplace where GPU-powered nodes compete to generate the proof.
3. Proof delivered, chain verifies. The prover submits the finished proof back to the chain, which verifies it instantly and cheaply.
It’s Uber for ZK proofs—except instead of drivers, you have powerful provers, and instead of rides, they deliver cryptographic guarantees.
Why this matters
For rollups: They can adopt ZK finality and security without hiring a team of ZK engineers or building massive infrastructure.
For dApps: It opens the door to verifiable off-chain compute—imagine games, AI models, or financial apps where users can trust the results because they’re mathematically proven.
For the ecosystem: Boundless creates a neutral, decentralized “proof layer” that any chain can use, strengthening the whole Web3 stack.
The technology behind the scenes
Boundless is powered by zkVMs, especially RISC Zero’s open-source zkVM. This setup lets developers write code in normal programming languages, while the zkVM automatically generates proofs for that code’s execution.
It also uses advanced techniques like proof continuations (breaking huge tasks into smaller parts) and recursive proofs (proving multiple proofs inside a single proof) to handle workloads at scale.
Incentives and decentralization
The network is designed so that:
Provers earn rewards for generating proofs.
Users (chains, apps) can “boost” their proof requests if they need faster results.
No single operator can censor or control the flow—if one prover goes down, others pick up the work.
Early seasons have already seen trillions of computation cycles proven, showing strong adoption from the community of node operators.
Who should care
Rollup teams: They can cut costs and scale faster by outsourcing proving.
Node operators: With the right hardware (multi-core CPU, solid RAM, and an NVIDIA GPU with ~8GB+ VRAM), anyone can run a prover and earn rewards.
Developers: Boundless offers SDKs and docs so you can plug verifiable compute directly into your app.
The bigger picture
Boundless is part of a broader trend: turning zero-knowledge tech from niche experiments into mainstream infrastructure. Just like cloud computing abstracted away server management, Boundless wants to abstract away proof generation—making it as easy as an API call.
If successful, it could be the engine room that powers everything from ZK rollups to decentralized AI to privacy-preserving apps—without every project needing to burn resources reinventing the same machinery.
Final thoughts
Zero-knowledge proofs are the future, but they’re expensive and complex. Boundless takes the hard part—proof generation—and turns it into a shared service. By moving heavy computation off-chain while keeping verification on-chain, it offers lower costs, higher scalability, and a path for mass adoption of ZK technology.
In short: Boundless wants to be the internet’s shared engine for trust.
The worlds of AI and blockchain are colliding — and OpenLedger is one of the projects trying to make that future real. Instead of treating blockchain as just another storage layer, OpenLedger is building an entire ecosystem where data, AI models, and autonomous agents are actual economic assets.
Think of it this way: today, AI is powered by datasets, compute, and models — but the people who create and contribute often don’t see much of the value. Your data trains a model, someone else deploys it, and most of the upside is captured by big companies. OpenLedger is trying to flip that dynamic by making sure everyone who contributes gets recognized, rewarded, and paid fairly.
Why AI Needs Its Own Blockchain
AI is booming, but it has some big problems:
Data is locked away in silos, and the people who own or contribute it rarely benefit.
Models are hard to license or trade — it’s mostly behind closed doors at tech giants.
Agents (AI bots, services, tools) are running everywhere, but they aren’t accountable or financially independent.
OpenLedger wants to fix this by creating liquidity for AI — turning data, models, and agents into on-chain assets that can be shared, bought, sold, and rewarded fairly.
The Core Building Blocks
1. Datanets
Imagine a community-owned dataset. Everyone who contributes to it gets recognized and rewarded. That’s what OpenLedger calls Datanets. Whether it’s medical images, legal documents, or industry-specific data, people can pool their resources, prove their contributions, and share in the rewards when the dataset is used.
2. On-Chain Models
Instead of models being hidden away in corporate labs, OpenLedger makes it possible to register and license models directly on-chain. Developers can train, fine-tune, or even combine models with clear rules for who gets paid. Think of it like an “App Store” for AI models, but with transparent ownership and payments built-in.
3. AI Agents as Assets
AI agents — bots that can label data, answer customer questions, or even manage tasks — can live on-chain as first-class citizens. They can hold tokens, earn fees, stake for reputation, and be fully auditable. That means no more “black box” AI — you know what the agent does, and you know how it’s rewarded.
How It All Works
OpenLedger is built like a blockchain from the ground up for AI, but still stays compatible with Ethereum standards (wallets, smart contracts, L2 ecosystems). That means developers don’t have to abandon their existing tools — they can plug into OpenLedger with minimal friction.
Every action — uploading a dataset, training a model, publishing an agent — is recorded on-chain. Smart contracts handle licensing, payments, and rewards automatically. Contributors don’t have to trust a middleman; the blockchain enforces the rules.
The Role of the Token
At the center of this economy is OpenLedger’s token (commonly referred to as OPEN). It powers:
Payments — buying datasets, licensing models, or using agents.
Rewards — distributing tokens to contributors who added value.
Governance — giving the community a voice in shaping Datanets, rules, and protocol upgrades.
It’s the glue that makes the AI economy liquid.
Real Use Cases
This isn’t just theory. Here’s what people could actually build with OpenLedger:
Specialized AI Models — imagine a law firm creating a legal-specific AI trained on its own curated Datanet. Every time someone uses that model, contributors get paid.
Verifiable Data Marketplaces — companies can buy training data knowing exactly who contributed and where it came from.
Agent Economies — customer service bots, research assistants, or labeling agents that can stake tokens, prove their work, and earn for their services.
The Big Challenges
Of course, there are still hurdles:
Computation limits — you can’t train giant models directly on-chain, so OpenLedger has to rely on hybrid solutions (off-chain compute + on-chain proofs).
Data privacy — tokenizing datasets must respect privacy laws like GDPR and HIPAA.
Incentive gaming — the system has to guard against spammy or low-quality data.
These are tough problems, but they’re the same ones every AI marketplace faces. The blockchain angle just adds more transparency and stronger incentives.
Why It Matters
If OpenLedger succeeds, it could change the way AI is built and owned. Instead of giant corporations hoarding models and data, communities and individuals could own slices of the AI value chain.
It’s about making AI more open, fair, and liquid.
In short: OpenLedger wants to be the home for AI on-chain — where datasets, models, and agents aren’t just tools, but assets that can be traded, licensed, and rewarded transparently.
Mitosis: Turning DeFi Liquidity Into Programmable Money
Why this new protocol could change how liquidity works forever
A quick take (for the scroll-quick crowd):
DeFi today is messy — liquidity is fragmented, LP tokens are boring and stuck, and projects spend fortunes renting “mercenary” capital that leaves as soon as the rewards dry up.
Mitosis flips that script. It transforms liquidity positions into programmable assets you can trade, split, or use elsewhere — while giving communities ownership of liquidity instead of relying on short-term incentives. Think of it as making liquidity smarter, fairer, and reusable.
The Problem: DeFi Liquidity Feels Broken
If you’ve ever provided liquidity in DeFi, you know the drill:
You lock assets into a pool.
You get an LP token back (basically a receipt).
That token just sits there. You can’t do much with it.
Meanwhile, projects constantly bribe liquidity providers with sky-high APYs, only to watch it vanish when rewards stop. Liquidity is fragmented, inefficient, and anything but sustainable.
The Big Idea: Liquidity That Behaves Like Money
Mitosis asks: What if your LP token was more than a dead receipt? What if it acted like money — portable, composable, programmable?
Here’s how they do it:
miAssets: liquid tokens representing your share in community-owned vaults. They can be used across lending, DEXs, or even traded.
maAssets: campaign-specific tokens with maturity or reward rules baked in (like time-bound liquidity with clear terms).
Instead of a “locked certificate,” you hold an asset that earns yield, carries campaign terms, and can plug into other protocols.
The Secret Sauce: EOL & Matrix
Two features make Mitosis stand out:
Ecosystem-Owned Liquidity (EOL) — Instead of “rented liquidity,” the ecosystem itself owns and stewards capital. You deposit assets, get miAssets, and the community decides where liquidity flows. This creates depth that doesn’t vanish overnight.
Matrix — A marketplace where projects run structured liquidity campaigns. LPs join, receive maAssets with clear terms, and can even trade them on secondary markets. Projects get predictable liquidity; LPs get more options.
Think of EOL as the foundation and Matrix as the marketplace on top.
How It Actually Works
You deposit assets into a cross-chain vault.
You receive programmable tokens (miAssets/maAssets).
Those tokens can be reused — collateral, trading, yield-splitting, structured products.
The Mitosis chain (a purpose-built L1) keeps everything in sync across vaults and strategies.
So instead of liquidity being stuck, it moves, evolves, and compounds value.
Why This Matters
Here’s why Mitosis could matter for the next era of DeFi:
More capital efficiency — assets aren’t trapped.
Fairer yields — small players get access to strategies once reserved for whales.
Less mercenary behavior — ecosystems actually own liquidity.
Easier innovation — builders can create new financial products on top of standardized tokens.
It’s like turning dumb money into smart money.
The Catch (Because Nothing Is Risk-Free)
Of course, there are challenges:
The system is complex — cross-chain vaults and programmable assets add attack surfaces.
Governance matters — if communities don’t steward EOL well, liquidity could be misallocated.
Adoption is key — miAssets and maAssets only shine if other protocols actually integrate them.
Final Word
DeFi started with a dream of open, permissionless finance. But along the way, liquidity got messy, inefficient, and short-term. Mitosis is trying to fix that by making liquidity programmable, community-owned, and endlessly composable.
If it works, it won’t just improve yields — it could rewrite how liquidity itself is designed in Web3.
In short: Mitosis is where liquidity stops being passive and starts acting like money.
SQD just went through a long liquidation of $1.49K at $0.1981, showing that leveraged buyers were forced out as price pressure built. This shakeout often signals uncertainty but can also open the door for a sharp reversal.
Levels to Watch: • Support: $0.192 → holding here keeps the bullish structure alive. • Resistance: $0.205 → breakout above this range could spark upside momentum.
Trend Insight: The liquidation highlights weakness, but SQD is hovering near an important support area. A strong defense here may lead to a rebound, while failure could drag the price into lower territory.