NETRO SIGNAL CREATOR CONTEST 🏆 $300 for the top 5 creators. Make a video or article showing how you really use Netro Signal, pick at least 2 features that matter to you, and post it on X. To enter: - Like and retweet this post - Follow @NetroSignal and our sponsors @Mars_DeFi @belizardd @Iamdotify @sageofsomething - Drop your entry link in the comments Starts Nov 1, ends Nov 15. Bot:

While everyone is focused on the Binance Hack, there is another THREAT that may have more impact on many people that we have with Binance Few hours ago, Blockaid flagged 10 DeFi sites that are actively draining wallets - stonkfun/xyz, pickle/finance, echelon, origami, fluxbeam/xyz, stakepoint/app, supswap, longbow, shprd & apexdefi They earlier flagged kintsu, stonkbrokers/cash and flap/sh. These are apps we use on a daily basis and apparently, the backend was hit by DNS hijack serving wallet drainers. If you're connected to these sites; - go to - revoke access If you haven't, refrain from connecting to any of the sites ATM. Stay safe y'all RT for others

Crypto is moving beyond the usual cycle of launches and speculation. AI agents are opening new possibilities for commerce, trading infrastructure is becoming more sophisticated, and tokens are facing tougher questions about sustainable value. This week’s reads explore some of the ideas driving these shifts. Here’s a round up of my top 10 articles of the week. — @DeFi_Cheetah explains how AI agents and local currency stablecoins could reshape global commerce. Agents reduce information asymmetry, negotiate better prices, and cut switching costs, while onchain stablecoins enable faster, cheaper cross-border payments. Legacy rails still create settlement delays, high FX costs, and friction, and deep local stablecoin liquidity could fix this with instant conversions, micropayments, and programmable escrows. — @0xfJuan explains that virality on X takes more than just announcing a product. Content needs to give people a reason to share, quote, and join the conversation. He shows how to create different angles around a launch, involve relevant creators, engage with responses, and use audience feedback to keep attention beyond the initial post. The goal is turning product launches into conversations that drive engagement, trials, and potential customers. — @thelearningpill examines whether onchain options are entering a new growth cycle, highlighting how trading infra has evolved since the first DeFi options boom. Better margin systems, order books and perp-based hedging are addressing earlier limitations, but the next growth phase may favour platforms that already control traders’ liquidity, collateral and users. The key question is whether established options venues like @DeriveXYZ can retain their lead as perp platforms like @HyperliquidX and @Lighter_xyz enter the market. — Onchain options could become one of crypto’s biggest growth opportunities, with retail adoption being the key to unlocking their potential. Drawing on the US, Indian and Korean markets, @momilio shows how retail demand has driven options growth, highlighting the impact of accessible trading, short-dated contracts and regulatory barriers. The biggest challenge for onchain options is no longer infrastructure or liquidity, but distribution and attracting retail traders at scale. — @stacy_muur explores how @silhouette_ex is bringing RFQ trading to @HyperliquidX to improve execution for large traders. Its RFQ suite lets traders compare competing market maker quotes for entire orders, reducing reliance on fragmented fills and potentially limiting slippage and execution time. The goal is to make large trades more efficient through upfront pricing and better access to liquidity. — @notkvtwts breaks down 5 practical AI skills that can translate into income, including AI workflow design, context engineering, automation and agents, AI-assisted development, and content distribution. He shares how to build each skill, pick the right mix for your goals, and turn projects into paid work, plus a 30-day plan to get started. The real value lies in using AI to deliver results people are willing to pay for. — @JurekSol shares his DLMM strategy, explaining how he finds tokens, manages positions, and decides when to exit. He targets tokens with at least $250K market cap and $100K in 5-minute volume, checks narrative, chart structure, and bundle activity, then runs a 50/50 bid-ask position and exits when it moves out of range, volume fades, or intense PVP kicks in. There’s no one-size-fits-all DLMM strategy. Wins come from experience, testing, and adapting what works. — There’s never been a better time to build. AI tools have made powerful capabilities cheaper and more accessible. According to @dickiebush, subsidized AI access, skills and independence from side projects, new opportunities, stronger connections, and the value of experience even when projects fail are 5 good enough reasons to start. Stop waiting for the perfect idea or timing. Start building, learn as you go, and use the skills and relationships you gain to create better opportunities. — Narrative or revenue alone isn’t enough. Tokens need a good reason for holders to keep holding, and @tzedonn highlights strong collective belief and credible cash flows that accrue value to tokenholders as reasons. He outlines influential figureheads, resilient communities, and strong narratives are what makes belief assets last. For cashflow assets, it’s sustainable revenue, onchain transparency, clear value capture, and trust in the team. One project that stands out is @HyperliquidX, because $HYPE combines both. — Organic content is one of the strongest growth levers for businesses, helping them build trust, reach audiences, and create a lasting distribution advantage. @ryangrowthh breaks down how to build an effective content system, from researching audiences and defining content pillars to choosing the right platforms, balancing reach with conversion, and creating content around unique strengths. Successful organic marketing needs clear strategy, value, and systems that turn content into sustained growth. — That’s all for the week. Stick around for more insights weekly.

i believe we can all agree that tokenization has gone wild this year. and the numbers back it up. RWA have reached around $39.3B in distributed value with over 5.4M asset holders. a good example is solana. @Solana's RWA market has grown from $751M to $4.37B in just a year. but the growth goes way beyond tokenized stocks. we're seeing new issuers, trading platforms, lending markets, liquidity solutions, etc. imagine what this sector could look like when the next bull market comes around. i decided to put together projects across the RWA ecosystem worth keeping an eye on. --------------- ➥ 𝐭𝐨𝐤𝐞𝐧𝐢𝐳𝐞𝐝 𝐬𝐭𝐨𝐜𝐤 𝐢𝐬𝐬𝐮𝐞𝐫𝐬 & 𝐚𝐬𝐬𝐞𝐭-𝐛𝐚𝐜𝐤𝐞𝐝 𝐞𝐪𝐮𝐢𝐭𝐢𝐞𝐬 ➢ @Ondo ➢ @xStocksFi ➢ @binance ➢ @Securitize ➢ @SuperstateInc ➢ @DinariGlobal ➢ @RobinhoodApp ➢ @BackedFi ➢ @WisdomTreeOnchn ➢ @galaxyhq ➢ @Sharplink ➢ @Figure ➢ @eqxlabs --------------- ➥ 𝐬𝐲𝐧𝐭𝐡𝐞𝐭𝐢𝐜 𝐬𝐭𝐨𝐜𝐤𝐬 & 𝐞𝐪𝐮𝐢𝐭𝐲 𝐝𝐞𝐫𝐢𝐯𝐚𝐭𝐢𝐯𝐞𝐬 ➢ @tradexyz ➢ @Ostium ➢ @extendedapp ➢ @edgeX_exchange ➢ @Lighter_xyz ➢ @Aster_DEX ➢ @OfficialApeXdex ➢ @HyperliquidX ➢ @variational_io ➢ @entropyIO ➢ @Kinetiq_xyz ➢ @BuoyFinance --------------- ➥ 𝐭𝐨𝐤𝐞𝐧𝐢𝐳𝐞𝐝 𝐬𝐭𝐨𝐜𝐤 𝐞𝐱𝐜𝐡𝐚𝐧𝐠𝐞𝐬 & 𝐭𝐫𝐚𝐝𝐢𝐧𝐠 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 ➢ @krakenfx ➢ @Bybit_Official ➢ @okx ➢ @bitget ➢ @coinbase ➢ @Backpack ➢ @Uniswap ➢ @MEXC ➢ @Gate ➢ @kucoincom ➢ @Gemini ➢ @cryptocom ➢ @treasures_io ➢ @anystock_xyz ➢ @Manci_rwa --------------- ➥ 𝐩𝐫𝐞-𝐢𝐩𝐨 𝐬𝐭𝐨𝐜𝐤𝐬 & 𝐩𝐫𝐢𝐯𝐚𝐭𝐞 𝐞𝐪𝐮𝐢𝐭𝐲 𝐭𝐨𝐤𝐞𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 ➢ @PreStocks ➢ @jarsyinc ➢ @joinrepublic ➢ @ventuals ➢ @msxcom ➢ @pipo_stocks ➢ @tZERO ➢ @MetaDAOProject More in the comments👇

We looked into this and found 35 crypto companies have pivoted or expanded into AI inference and AI compute (either part time or full time) CEX: - @Gate: exchange → GateRouter, one API for 170+ AI models DePINs: - @akashnet: decentralized cloud → AkashML managed inference - @AethirCloud: GPU cloud → Aethir Mesh, its own LLM API - @ionet: GPU network → io. intelligence, 40+ hosted models - @Theta_Network: community GPUs → EdgeCloud LLM inference (beta) - @BitTorrent: file sharing → BTTInferGrid inference network - @Livepeer: video transcoding → AI subnet for generative inference - @rendernetwork: GPU rendering → Dispersed, an AI and general compute subnet - @nosana_ai: CI/CD compute → GPU marketplace for inference - @fluence_project: CPU cloud → GPUs plus Fluence Inference (private beta) - @spheron: compute network → managed LLM inference API - @aleph_im: Aleph Cloud → LibertAI confidential inference - @CUDOS_ (@ASI_Alliance): cloud compute → ASI:Cloud inference endpoints (beta) Restaking, L1s and privacy: - @eigenlabs: restaking → @darkbloomai by @gajesh, inference on idle Macs - @PhalaNetwork: TEE cloud → confidential inference API - @nillion: privacy network → nilAI private inference - @NEARFoundation: L1 → NEAR AI Cloud from @near_ai, 62 models, 16 verifiable in TEEs - @ton_blockchain: Telegram's chain → Cocoon, confidential inference paid in TON - @SecretNetwork: privacy L1 → SecretAI confidential inference - @OasisProtocol: privacy L1 → ROFL, verifiable AI in TEEs RPC: - @POKTnetwork: RPC relays → AI inference relays (still tiny) Bitcoin miners: - @TeraWulfInc: $27B+ in AI/HPC contracts - @Hut8Corp: $26.6B contracted, AI data centers - @Core_Scientific: $24B+ contracted, AI/HPC colocation - @CipherInc: $16.6B in AI/HPC leases - @IREN_Ltd: AI cloud, ~$15.9B contracted, $128.8M in FY26 AI cloud revenue - @RiotPlatforms: $9.8B contracted - @CleanSpark_Inc: $6.6B 20-year AI/HPC lease - @Cango_Group: new EcoHash AI inference arm - @Bitdeer: Bitdeer AI Cloud GPU neocloud - @CrusoeAI: sold its mining → AI cloud with Managed Inference - @SolunaHoldings: Soluna Cloud, hosted DeepSeek R1 inference - @HIVEDigitalTech: @BUZZHPC GPU cloud - @NorthernDataGrp: sold its mining unit → now Quake AI GPU cloud under Rumble - @BitDigital_BTBT: ex-miner, majority owner of @WhiteFiber_ GPU cloud 7 of these miners have signed ~$126B in AI/HPC contracts. The pivot and expansion make sense. Miners and DePIN operate on hardware. AI demand gave their existing infrastructure a better revenue source. Whoever already owns GPUs, power, or private compute is now selling inference or compute.

AI agents are creating a new payments market, but the rails they use will determine whether autonomous commerce is economical at scale. Commercial cards can carry interchange fees of 2.5–3%. Meanwhile, 138.5M reported x402 transactions on Base by Q3 2026 point to growing use of stablecoins for machine-to-machine payments. Here’s how the agent payment stack is evolving. — ● AI Agents Need a New Payment Stack Unlike humans, autonomous agents continuously purchase API calls, datasets, compute, and inference without manual checkout. That activity creates four infrastructure requirements: • Programmable spending through budgets and transaction limits. • Machine-native payments without human intervention. • Low-cost settlement for micropayments. • Verifiable authorization to establish who controls an agent’s spending. Wallets, stablecoins, payment APIs, and identity protocols are converging around these needs. But the payment rails underneath them carry very different costs and incentives. — ● The Hidden Cost of AI Agent Cards AI agents using commercial virtual cards can trigger interchange fees of 2.5–3%, creating a recurring cost for merchants. On a $100 purchase, the cited estimate puts fees at $2.80 for commercial agent cards versus $0.27 for regulated debit. Agent startups and card issuers may share this revenue, giving them an incentive to preserve expensive card rails even as autonomous payments scale. This cost structure underpins the crypto thesis: stablecoins could provide a more economical payment layer for agentic commerce, particularly for small, frequent purchases. — ● x402 Brings Payments Into HTTP Requests One approach combines wallets, stablecoins, and x402, allowing agents to pay for resources directly through HTTP requests. Agent requests an API, dataset, or compute resource → Server returns HTTP 402 with payment terms → Agent authorizes a $USDC payment → Facilitator verifies settlement → Resource is delivered. By embedding payment into this interaction, x402 removes conventional checkout friction and enables programmable payments for individual API calls. That includes micropayments worth just a few cents, where conventional payment fees can exceed the purchase itself. — ● Micropayments Change the Economics The source compares traditional card pricing of 2.9% + $0.30 with modeled stablecoin processing at 1.5% and x402 settlement at approximately $0.001. • On a $0.10 payment, modeled card fees reach $0.3029 versus $0.001 for x402. • The source places the card-to-stablecoin cost crossover near $21.43 under its assumptions. For agents buying inference, API access, and data in small increments, settlement costs directly affect which transactions are commercially viable. This makes micropayments a natural entry point for stablecoin-based agent payments. — ● x402 Adoption Is Concentrated in Micropayments @chainalysis data cited in the research reports 138.5M cumulative x402 transactions on Base by Q3 2026, with over 87% below $0.10. • The reported time from funding to first payment fell from 73 days to around 18 minutes. • @CoinbaseDev offers 1,000 monthly settlements free, then charges $0.001 per settlement. These figures point to growing transaction activity and faster payment activation. However, transaction growth alone does not establish sustainable demand or revenue. The wider opportunity depends on the infrastructure connecting payments to usable agent services. — ● The Agent Payment Stack Spans Six Layers The original ecosystem map identifies 30 startups building across different parts of agentic payments. • Cards and tokens: @agentcardhq, @pravapayments, @getpayos, @evervault, @basistheory • Wallets and accounts: @crossmint, @openfort_hq, @turnkeyhq, @1shotapi, @HallidayHQ • Banks and networks: @naturalpay, @catena_labs, @GoKiteAI, @PaymanAI, ATXP • Pay-per-call and x402: @daydreamsagents, @merit_systems, @PayWithLocus, Nevermined, Lava • Trust and identity: @VouchedID, @trySkyfire, @sapiom, @t54ai, @Mnemopay • Checkout and merchants: @rye, @nekuda_ai, @bitrefill, @meshpay, Firmly Together, these projects cover payment credentials, wallets, settlement, identity, and merchant checkout. The market is developing across multiple layers because executing a payment is only one part of enabling an agent to transact reliably. — ● Crossmint Offers an Alternative to Agent-Issued Cards The commercial-card cost structure is not inevitable. @crossmint enables users to bring their own cards instead of relying on provider-issued virtual cards. • Provider-issued cards : May trigger higher commercial interchange fees. • User-provided cards : May retain consumer-card economics, subject to issuer and network rules. • Stablecoin wallets : Enable programmable, onchain payments. This gives agent platforms multiple payment routes. Letting users connect existing cards or wallets can help avoid the higher commercial-card fees associated with some provider-issued products. The broader competition therefore includes both new settlement rails and better ways to connect agents to existing payment methods. — ● Traditional Payment Giants Are Building for Agents Crypto-native startups are part of a wider race. Stripe, Visa, Mastercard, and Coinbase are building infrastructure to capture agent-driven payments. • @Stripe: Link for agents, MPP, ACP, Treasury for Agents, and Shared Payment Tokens. • @Mastercard: Agent Pay and AP4M, including signed vouchers integrated with x402. • @Visa: Intelligent Commerce and Trusted Agent Protocol. • @Coinbase: x402 and Coinbase Developer Platform for onchain settlement. • @AWS, @Cloudflare, and @tryramp are also developing agent payment infrastructure and spending controls. These providers approach the market with different strengths. Crypto offers cheaper micropayments, while established networks bring merchant acceptance, consumer checkout, and dispute handling. Connecting those strengths will require more than low-cost settlement. — ● Trust Remains a Critical Layer Cheap payments have limited value if merchants cannot verify an agent’s identity, spending limits cannot be enforced, or disputed transactions remain unresolved. Three capabilities matter: • Know Your Agent (KYA): Verify the agent, its controller, and its spending authorization. • Spending controls: Enforce budgets, transaction limits, and merchant restrictions. • Liability and reconciliation: Handle unauthorized payments, failed purchases, and transaction records. Projects like @VouchedID, @sapiom, @t54ai, and @Mnemopay are building around this trust layer. Stablecoins reduce payment friction, but they do not inherently provide card-like chargebacks or consumer protections. Those capabilities need to be addressed across the broader payment stack. — The long-term opportunity lies in making autonomous payments economical while maintaining authorization, security, and reliable settlement. x402 and stablecoins have an advantage in micropayments. Established networks retain distribution, merchant acceptance, and consumer protect ions. The market will be shaped by transaction economics, the merchants agents can reach, and how effectively these systems connect.

The race to build autonomous AI agents is expanding beyond better models. This month’s updates span agent security, onchain payments, decentralized compute, and protocols designed to let agents operate as economic actors. Here’s what shipped across the AI sector in the last month. — ● @EllavoxAI • Launched Elladex, designed to let autonomous AI agents from different organizations discover one another and collaborate ● @orbiodotso • Launched its Agentic Launchpad on Robinhood Chain and opened an ORBIO yield market through @pendle_fi ● @proof • Launched x401, a protocol that verifies the identity and authorization of AI agents acting on behalf of humans ● @selfxyz • Launched Agent Vault, a secure way for agents to log in and make credit card payments ● @levantolabs • Launched Sage, the first private decision model and an alternative to LLMs for automated agent workflows and enterprise data routing ● @ritualnet • Launched Ritual Chain, an EVM-compatible Layer 1 designed specifically for autonomous AI agents ● @pharos_network • Launched its Agent Native upgrade, intended to make AI agents native participants in onchain finance ● @kivoagentxyz • Launched Kivo, an autonomous AI crypto agent marketed as "the first sovereign trader" ● @evervault • Launched Browser Tokens, a security product that lets AI agents and browser automation tools make payments and log into accounts without exposing sensitive data ● @verona_dev • Introduced verUSD, the first stablecoin for AI agents ● @usedotai • Launched Dot Motion, a native video generation and refinement feature ● @Theta_Network • Theta EdgeCloud integrated Ling-3.0-flash-Fin, a finance-focused LLM, through @zan_team router ● @Weaver_Labs • Partnered with Theta to use their decentralized GPU network as an AI compute resource for Cell-Stack, its edge and connectivity platform ● @xBuildy • BrainVault v3 went live on Theta mainnet ● @OpenAnonProject • Partnered with @ethereumfndn to develop zkAPI, a ZK protocol for accessing gated APIs with unlinkability ● @grass • Launched the Grass Contents API, an API that turns public URLs into clean HTML, Markdown, or text that agents can use ● @PayAINetwork • x402 batch settlement went live on Solana ● @apollographql • Introduced GraphOS Agent Services, giving AI agents governed access to enterprise APIs and systems ● @ava_protocol • Launched agent permissions, allowing users to safely automate DeFi actions without giving an AI agent full access to their private keys ● @autonolas • Introduced Know Your Agent (KYA), a security and evaluation feature integrated into the Olas Marketplace ● @embercurve • Ember Curve Agent 1.1 went live in @PayBox ● @xona_agent • Xona App went live, a chat-based "super agent" that turns AI agents into functional economic actors by combining chat, crypto wallets, and paid tool resources ● @ankr • Added support for x402 to let any AI agent with a wallet pay USDC for blockchain data per call ● @alibaba_cloud • Partnered with Theta EdgeCloud to bring Qwen AI models to Web3-native developers worldwide ● @Talus_Labs • Talus Protocol v2.1 went live, an upgrade for both the protocol’s developer tools and the network nodes that carry out agentic work — The pieces of the autonomous agent economy are coming together, but launching the infrastructure is only the first step. Adoption will depend on whether these systems can deliver reliable execution, meaningful utility, and security without constant human intervention. That’s all for the month. Stick around for more AI updates monthly.

Introducing Janus Henderson Nasdaq-100 Index® Fund (JQQQ), the first blockchain-native Nasdaq-100® fund. Launched by Janus Henderson Investors @JHIAdvisors and Centrifuge, the fund brings one of the world's most recognized equity benchmarks onchain through an issuer-sponsored investment product. Licensed to track the Nasdaq-100 Index®, JQQQ provides exposure to 100 of the largest non-financial companies listed on Nasdaq. Now live on @StellarOrg. Built to connect across DeFi, from trading and lending to collateral markets and structured products.

Bringing everyday payments onchain starts with connecting bank accounts to self-custody wallets. @BitgetWallet’s Virtual Account lets eligible users receive USD or EUR payments that automatically convert into stablecoins. Here’s how traditional payment rails meet Web3. — ● From Bank Payments to Stablecoins Freelancers, remote workers and digital nomads often receive income through banks but manage part of their finances onchain. Bitget Wallet connects these activities in one flow: USD/EUR payment -> Virtual Account -> Automatic conversion -> USDT/USDC in your self-custody wallet. Clients or employers pay through supported banking networks, while recipients can hold, transfer, spend or use the stablecoins through supported wallet features. — ● Familiar Banking Details Eligible users can apply within Bitget Wallet for a virtual receiving account in their own name: • USD: Routing and account numbers. • EUR: IBAN and BIC details. Supported networks include ACH, Fedwire, SWIFT and SEPA, depending on the account and transfer type. Accounts support eligible salary, freelance, client and personal payments. US or EU residency is not necessarily required, but regional availability, identity verification and provider requirements apply. Opening is free, with no minimum balance or monthly maintenance fee but other provider and transaction fees may apply. — ● How It Works • Complete identity verification and apply for a USD or EUR Virtual Account. • Receive eligible bank transfers using your approved account details. • Funds automatically convert into USDT or USDC through the supported product flow and reach your wallet. This removes separate steps to buy stablecoins and transfer them into your wallet. • Approval and processing times vary. NB: Virtual Accounts receive payments; direct cash withdrawals are not supported. — ● Receiving-Fee Promotion • The campaign runs from October 27, 2026, at 20:00 to December 31, 2026, at 23:59 (UTC+8). • Limited to the first 1,000 eligible users. • Requires a qualifying net deposit of at least 50 USD/EUR equivalent. • Covers receiving fees on up to 1,000 USD/EUR equivalent of the first qualifying payment. • Reimbursement reaches the rewards account by the next day (T+1), subject to official terms. This is a receiving-fee benefit, not a $1,000 cash reward. Other fees may apply. — ● Why It Matters Stablecoins become more useful when connected to income people already receive. Clients pay through familiar banking rails, while recipients manage the resulting funds onchain extending the wallet’s role into everyday payments. To get started, explore Bitget Wallet’s Virtual Account, check your eligibility and review the campaign terms before transferring.

Elysium is targeting a November 9 mainnet launch, aiming to expand what can be built within the Hyperliquid ecosystem. With 80+ teams exploring DeFi, trading, and prediction markets, the opportunity extends beyond faster transactions to new assets, deeper liquidity, and additional trading activity. Here’s how @Enter_Elysium could become a new growth engine for @HyperliquidX. — ● Hyperliquid’s Execution Bottleneck @HyperliquidX dominates perpetuals, but building a broader trading economy requires affordable execution for applications, token launches, and spot markets. HyperEVM’s limited throughput and rising gas costs create constraints: • Expensive quote updates reduce market-making profitability. • Limited execution capacity restricts application scalability. • New tokens struggle to build liquidity without cost-efficient trading. @Enter_Elysium aims to ease these constraints, creating a path from new applications and token launches to liquidity and activity on HyperCore. — ● How Elysium’s Architecture Fits Together Built by @Kinetiq_xyz on @arbitrum Orbit with @conduitxyz, Elysium is an EVM Layer 2 designed for high-throughput applications within Hyperliquid. Its architecture connects three layers: • Elysium : Executes applications, token launches, and liquidity markets. • HyperEVM : Provides the settlement layer connecting Elysium to Hyperliquid. • HyperCore : Provides trading infrastructure for potential spot and derivatives activity. The objective is to combine faster, cheaper application execution with Hyperliquid’s established trading infrastructure. That connection matters because new markets only expand the ecosystem if they can attract liquidity and generate sustained trading activity. — ● HyperCore Integration Is the Key Differentiator Elysium’s strongest potential advantage is how closely its applications can interact with HyperCore. Integration is planned in two phases: • Phase 1 : Basic HyperCore integration at launch. • Phase 2 : Targeted roughly four weeks later, adding native access to order books, prices, balances, and positions, alongside a faster write path targeting ~100 ms. This could allow market makers to manage liquidity on Elysium while hedging exposure on Hyperliquid, potentially generating incremental trading volume and fees. The strength of that connection depends on Phase 2 delivery. — ● From Token Launches to HyperCore Liquidity With that integration in place, Elysium’s proposed growth loop starts with token launches and extends through spot liquidity into potential HyperCore markets and HIP-3 perps. • Launchpads : Introduce new assets. • DEXs and prop AMMs : Build liquidity and market depth. • HyperCore : Supports deeper spot markets, derivatives, and hedging. • Value accrual : Potentially increases trading fees, $HYPE gas demand, and $KNTQ burns. Each stage supports the next: launches introduce assets, liquidity makes them tradable, and deeper markets create demand for hedging and derivatives. The thesis depends on attracting genuinely new activity rather than redistributing existing Hyperliquid volume. — ● Prop AMMs: Connecting Launches to Liquidity Prop AMMs are an important part of this loop, using proprietary capital and automated pricing to provide continuous buy and sell liquidity for new tokens. Elysium’s low-cost execution could make frequent quote updates more economical, while planned HyperCore integration could help market makers manage inventory and hedge exposure across markets. This gives newly launched assets a potential route toward more reliable trading conditions. The adoption signal is sustained liquidity and competitive spreads. Launching more tokens alone does not establish a functioning market. — ● An Expanding Application Ecosystem Elysium has 80+ teams exploring the ecosystem, with 50+ reportedly live on testnet and nearly 40M testnet transactions. Projects span the components needed to support this trading economy: • Launchpads: @AscendLaunch, @SignalFam, @oxleydotfun, @CorePad_hl, @perpmefun, @Neuriio, @ChainzyLabs, @MontraXYZ, @citadeldotxyz, @kilnpad, @Bunnypadfun. • NFTs and marketplaces: @kalosfun, @AtlasHL. • DEXs and liquidity: @HyperFlow_fun, @NestExchange, @HybraFinance, @dawndottrade. • Trading and DeFi: @Elypact, @Pantheonindex, @Pindar_finance, @truemarketsco. • Derivatives and prediction markets: @hyperflip_xyz, @speculatexyz, @LiquidictionHL, @Bound_Exchange, @BranchpointXYZ, @outrivexyz. • Games and consumer apps: @eloscapeHQ, @playelysa, @clashforelysium, @Hyperion_RPG. • Analytics and infrastructure: @liquidterminal, @ElysiumEco, @Ellytradebot, @arbitrum, @conduitxyz, @Alchemy, @ChainstackHQ, @Quicknode. • Naming and wallets: @ElysiumNames. This breadth provides a starting point. Whether these applications retain users and liquidity after mainnet will determine their economic contribution. — ● How Network Activity Could Accrue Value Elysium aims to channel network growth back into the ecosystem through its sequencer revenue allocation: • 50% : $KNTQ open-market purchases and burns via the Hyperliquid Assistance Fund. • 25% : Builder incentives, rebates, and liquidity programs. • 25% : Kinetiq treasury and operations. Alongside this allocation, additional HyperCore trading and a larger USDC base could increase Hyperliquid revenue. This creates two potential value-accrual channels: sequencer-funded $KNTQ burns and increased Hyperliquid revenue from $USDC yields and HyperCore trading fees. Both depend on the network generating sustained economic activity. — ● The USDC Revenue Opportunity One potential contribution is expanding Hyperliquid’s USDC base, increasing reserve-yield revenue flowing to the Assistance Fund under AQAv2. At $4.3B in incremental USDC, a 3% yield and 90% protocol share imply approximately $116M in annual revenue. This is an illustrative scenario, not a forecast. Realizing it requires genuinely new USDC entering the ecosystem, alongside sustained yield and revenue-share assumptions. Capital moving between existing Hyperliquid applications would not create the same incremental opportunity. Net inflows therefore matter as much as application activity when assessing Elysium’s contribution. — ● Testnet Activity ≠ Real Adoption Elysium reportedly recorded 40–42M transactions, ~22 TPS, 6.5M addresses, and 4.5M contracts, alongside 80+ teams and 50+ projects live on testnet. These figures show testing activity and developer participation, but they do not establish organic demand. Transactions and addresses can include bots and automated testing. The more meaningful signals emerge after mainnet: • Retained users and organic transactions. • Sustainable liquidity, trading volume, and fees. • Net USDC inflows and projects that remain active. The question is whether testnet participation translates into applications people continue using once real capital is involved. — ● Mainnet Will Test the Thesis With a November 9 launch targeted, the first 4–6 weeks should provide early evidence of whether Elysium’s architecture can support real adoption and deliver its planned integration. Key metrics to watch: • Execution : Performance, transaction fees, and HyperCore integration. • Liquidity : Market depth that persists beyond launch incentives. • Adoption : Organic users and sustained trading volume. • Value accrual : Sequencer revenue, $KNTQ burns, $USDC inflows, and HyperCore fees. • Security : Audits, bridge safety, and sequencer decentralization. Together, these metrics will help distinguish ecosystem expansion from activity migrating between existing venues. Elysium needs to turn execution capacity into sustained liquidity and incremental Hyperliquid activity. — Elysium’s opportunity is to extend Hyperliquid’s derivatives dominance into a broader onchain trading economy. Faster execution provides the foundation. Market makers, liquid applications, and deeper connections to HyperCore must turn that capacity into economic activity. If this feedback loop takes hold, Elysium could become an economic expansion layer for Hyperliquid.

DeFi made it easier to launch a token, build a market, and trade across chains. But when capital is spread across thousands of pools, how much is available where it’s needed? My latest article explores why easier access hasn’t solved liquidity fragmentation and what it costs DeFi. Here is an Infographic summary on the entire article.

Web3 keeps shipping, and this week’s updates cover more than just new launches. Here’s a rundown of the latest launches, milestones, token sales, and yield opportunities to explore. — • @CashmereLabs launched Goat LP, an automated liquidity management and analytics tool built for @Uniswap v3 and v4 positions on Robinhood Chain • @catalystapp introduced Catalyst Earn is an in-app yield-generating feature that offers up to 8% APY • Tokenized stocks went live in @Zebec_HQ’s SuperApp, powered by @xStocksFi • @popdex_ launched its Open Beta opening the perp DEX to the public • @birdeye_data launched Peak, a market terminal designed to give crypto traders and allocators access to a broader trading and market intelligence experience • @Uniswap launched Aggregator Hooks, bringing external liquidity sources into Uniswap v4 pools • @useTria announced integration with @arc to bring USDC payments, card spending, and trading into Tria • @oisy enabled native XRP support in its wallet • @reflectmoney launched Create, a platform that lets users and devs launch custom, branded yield-bearing stablecoins and index tokens in a single transaction • @SoFi introduced SoFi Earn, an interest-bearing tokenized deposit product offering 4.4% APY • @talamobile partnered with @eldoradoio to bring embedded, uncollateralized credit into El Dorado’s wallet • @Mastercard introduced its Stablecoin Security API, a risk intelligence and compliance tool • @solflare introduced Flappy Packs, a mini-game experiment where players compete to win $500 worth of Solflare Packs • @0xMiden’s Partner Mainnet is scheduled for the 26th • @unichain’s mainnet migration to OP Enterprise is slated for 29th • Airdrop claims for @StandX_Official’s DUSD opens on November 1st • @Infinit_Labs has launched Al-managed trading vaults from independent strategy managers. Users can access systematic strategies with track records across stocks, commodities, indices and crypto. — ● Ongoing ICOs • @merchsdotfun ($MER ICO) - Ends 26th • @1winToken ($1WIN ICO) - Ends 28th — ● Recent Milestones Across Protocols • @NullMaskio reported over $50M in private transaction volume • @solana hit a record of 14M in stablecoin holders • @xStocksFi became the first issuer to cross $100M in DeFi deposits — ● Yield Opportunities to Explore • Protocol - @YuzuMoneyX • Network - @plasma • Steps ➊ Visit ➋ Deposit USDT0 to mint yzPP • Current yield - 19% APY • Protocol - @Fluxion_network • Network - @Mantle_Official • Steps ➊ Visit ➋ Deposit USDT0 into the Mantle USDT0 Grove Yield Layer • Current yield - 9.94% APY • Protocol - @harmonixfi • Network - HyperEVM • Steps ➊ Visit ➋ Deposit USDC into the HIP-3 haUSDC Vault to receive haUSDC • Current yield - 5.8% APY — That’s a wrap. Stick around for more updates weekly.

The clock is ticking on cryptography, and the transition to Post-Quantum Cryptography (PQC) may need to happen much sooner than many anticipated. The bigger concern is not just when quantum computers become powerful enough to break existing cryptographic systems, but how long it will take to replace those systems. Blockchains, wallets, exchanges, bridges and financial infrastructure cannot simply switch to quantum-resistant cryptography overnight. It requires years of implementation, testing, audits and key migration. There is also the risk of harvest now, decrypt later, where encrypted information collected today could become vulnerable in the future. This is why I think the industry needs to treat PQC as a present infrastructure priority rather than a future problem. I previously broke down four important cryptographic building blocks worth understanding as this transition accelerates. Worth revisiting the post below.

Most traders hear “arbitrage” and think about buying an asset cheaper on one exchange and selling it higher on another. But in perp markets, one of the bigger opportunities comes from funding-rate differences across exchanges. That is where @ArbitronApp becomes interesting. — The same asset can trade on @binance, @Bybit_Official, @okx and @HyperliquidX, while funding rates differ across each venue. Instead of betting on whether price goes up or down, a trader can take opposing positions across two exchanges and try to capture that difference while reducing directional exposure. For example: • Long on Exchange A • Short on Exchange B You can hedge price exposure and capture the funding spread. The same idea also works with spot/perp arbitrage. — The harder part is finding these opportunities consistently. There are hundreds of markets, changing spreads, funding rates, fees and liquidity conditions. Arbitron solves this by scanning across 21 integrated exchanges and supporting: • Linear perpetual arbitrage • Inverse perpetual arbitrage • Perp/perp funding arbitrage • Spot/perp funding arbitrage So the workflow becomes: Scan -> Filter -> Execute -> Monitor Instead of manually checking different exchanges, calculating the trade and opening both sides yourself. — What makes the latest update more interesting is the AI layer. Arbitron strategies can now be read by AI assistants through MCP. So you can ask something like: “Is my $SOL spread strategy set up correctly?” The AI can review your settings, live spread and backtest data, then point out things like fees eating too much of the trade or parameters that may need adjusting. Importantly, the connection is read-only. The AI can analyze the strategy, but it cannot trade. — That gives Arbitron a broader structure: Discover the opportunity -> Execute the trade -> Track performance -> Let AI analyze the strategy So it is becoming less of a simple arbitrage bot and more of an end-to-end system for running market-neutral strategies. Of course, arbitrage is not risk-free. Funding can change, spreads can move, liquidity matters and exchange risk still exists. But the real advantage here is having discovery, execution, monitoring and analysis connected in one place.

Crypto phones are evolving beyond secure hardware wallets into distribution channels for DeFi, stablecoins, and onchain applications. Samsung’s planned Solana integration could bring $USDC remittances to 82M US Galaxy devices, potentially taking crypto from dedicated Web3 hardware to mainstream smartphones. But distribution alone does not guarantee adoption. Here’s how the crypto phone market is evolving and what will determine its success. — ● From Crypto Hardware to Distribution The first generation of crypto phones focused primarily on secure custody. Today, the opportunity is increasingly about acquiring and retaining users across blockchain ecosystems. The evolution has happened in three phases: • 2018–2020: @SIRINLABS and @htcexodus prioritized secure custody, but expensive devices and limited dApp ecosystems constrained adoption. • 2019–2022: @SamsungMobile and other OEMs introduced blockchain features, although crypto remained secondary to the broader smartphone experience. • 2023–present: @solanamobile and @JamboTechnology shifted toward token incentives, integrated dApps, and affordable distribution. The underlying strategy has moved from selling specialized hardware to using smartphones as an entry point into on-chain economies. — ● The Business Model Behind Crypto Phones Crypto phones turn device distribution into a customer-acquisition channel for blockchain ecosystems. The model follows four stages: • Distribution: Dedicated hardware or integration with existing smartphone manufacturers. • Acquisition: Wallet onboarding through airdrops, quests, and rewards. • Activity: Users interact with DeFi, stablecoins, and other dApps. • Retention: Recurring transactions and application usage generate sustainable fees and economic activity. The first two stages bring users onchain, but the economics depend on the last two. This distinction becomes clearer when comparing the leading crypto phone models. — ● Solana Mobile: Building an Incentive Flywheel @solanamobile has approached distribution through its Saga and Seeker smartphones, combining secure hardware with direct access to Solana's ecosystem. Saga initially struggled at its $1,000 price point before the $BONK airdrop transformed demand, helping it sell approximately 20,000 units. Seeker expanded that incentive-driven model, attracting 140K–150K reported pre-orders and $1.8B–$5B+ in reported cumulative on-chain volume. However, Solana Mobile is now building beyond the initial airdrop incentive: • Seed Vault and dApp Store provide secure custody, application access, and discovery. • SKR, staking, and quests introduce incentives designed to encourage recurring engagement. • Solana Mobile Stack extends the infrastructure beyond dedicated devices. The objective is to turn one-time hardware purchases and token rewards into lasting ecosystem participation. — ● Jambo: Scaling Through Affordability While Solana Mobile has emphasized ecosystem incentives, @JamboTechnology approaches distribution from the affordability side. Its ~$99 smartphone targets emerging markets, with 700K–1M+ reported units distributed across 128 countries and millions of wallets created. Rather than relying on premium hardware, Jambo combines pre-installed wallets, quests, learn-to-earn programs, and partnerships with ecosystems including @Aptos, @solana, and @tether. This lowers the entry barrier for users who might otherwise struggle to access onchain applications. However, wallet creation and device distribution are only initial indicators. The bigger test is whether those users remain active once incentives decline. — ● Samsung + Solana, Xiaomi + Sei: The Next Distribution Layer Solana Mobile and Jambo demonstrate two approaches to acquiring users, but dedicated crypto phones still have limited reach compared with mainstream smartphone manufacturers. This is where OEM integration becomes particularly important. • @SamsungMobile + @solana : Planned $USDC remittances through Samsung Wallet could reach 82M US Galaxy devices, with rollout targeted from late October 2026. • @Xiaomi + @SeiNetwork : Pre-installed wallets and dApp discovery, supported by MPC-based access and planned stablecoin payment pilots. The distribution advantage is significant. For example, just 1% activation across 160M Xiaomi devices would translate into 1.6M wallet activations. That is an illustrative scenario rather than a forecast, but it shows why OEM partnerships could scale crypto access beyond standalone Web3 devices. The challenge then shifts from getting wallets onto phones to making them secure and practical enough for everyday use. — ● The Technology Making This Possible For crypto phones to compete with ordinary mobile applications, the underlying infrastructure must make onchain interactions both secure and accessible. Several technologies support this transition: • TEE and Seed Vault: Protect private keys and sensitive operations. • MPC and biometrics: Reduce seed-phrase friction and simplify authentication. • Native dApp stores: Improve application discovery and direct ecosystem access. • BSIM and TEEPIN: Explore additional security and infrastructure models beyond conventional software wallets. Together, these systems aim to reduce the complexity of interacting with blockchain applications. However, secure custody, account recovery, and usability must improve without creating additional attack surfaces. — ● Stablecoins Could Become the Mainstream Use Case Of all the applications crypto phones can distribute, stablecoins offer one of the clearest paths toward recurring utility. Samsung's planned $USDC integration is particularly relevant because it brings remittances into an existing mobile wallet rather than requiring users to purchase dedicated crypto hardware. The opportunity also builds on Solana's existing payment infrastructure. Solana's stablecoin supply reportedly grew nearly 20% year over year, while the network processed more than $5.25T in stablecoin volume during 2026. These figures demonstrate substantial on-chain activity, but they do not automatically translate into mobile payment adoption. The meaningful outcome would be repeat remittances, transfers, and everyday payment usage. — ● Market Growth vs. Actual Adoption Market estimates value the crypto phone sector at approximately $890M in 2025, with projections reaching $5.58B by 2032, although definitions vary across reports. However, dedicated crypto phones remain a small segment compared with the 1.2–1.4B smartphones shipped globally each year. This reinforces the importance of mainstream OEM distribution. The larger opportunity may come from integrating crypto functionality into existing smartphones rather than convincing consumers to purchase separate Web3 devices. — ● What Could Limit Adoption? Despite the distribution opportunity, several risks remain. • Incentive dependency: Airdrops and rewards can attract users without generating sustainable activity. • Token economics: Inflation and unlocks can weaken the incentives supporting ecosystem participation. • Data reliability: Device shipments, wallet creation, and transaction figures often lack consistent independent verification. • Competition: Mainstream smartphones already offer stronger hardware and increasingly integrated wallet experiences. • Execution and regulation: OEM partnerships, product rollouts, and regulatory requirements can delay adoption. Earlier experiments by HTC Exodus and Sirin Labs also showed that secure custody alone was insufficient to establish a sustainable crypto phone market. The newer models must prove that distribution can create lasting demand rather than temporary incentive-driven activity. — Crypto phones are gradually shifting from niche hardware products into distribution infrastructure for onchain economies. Solana Mobile and Jambo are testing whether dedicated devices can acquire and retain crypto users, while Samsung and Xiaomi represent a potentially much larger distribution opportunity. Stablecoins could become the bridge between that distribution and real-world utility. But ultimately, the success of crypto phones will not be measured by devices shipped, wallets created, or airdrops distributed. It will depend on how effectively that reach translates into recurring usage, organic on-chain activity, and sustainable economics beyond incentives.

the top 25 pumpfun deployers: > launched 770k tokens > extracted $128M from the trenches > produced only 6 tokens with a 20M+ MC that's $128M extracted just by 25 devs

One of the biggest announcements from @PythNetwork's PYTH Connect Q3 has to be the new 100% Rule. And after looking through the numbers, I think this could be a pretty significant turning point for $PYTH. Here's why. — The 100% Rule changes how Pyth's revenue connects to its token Previously, the Pyth DAO allocated one-third of its non-PYTH treasury balance towards recurring token purchases. Now, 100% of eligible funds the DAO receives from Pyth products will go towards accumulating $PYTH. That includes open-market purchases using funds received in assets like USDC. The important distinction is that this applies to revenue received by the DAO, not every dollar generated by Pyth's products. But it means that as the business grows, there's now a much clearer connection between that growth and demand for $PYTH. — And Pyth's business is growing FAST The Q3 numbers speak for themselves: • $11.49M in ARR, up 86% QoQ • 276 paying accounts • $9.68M ARR from Pyth Pro • $1.81M ARR from Pyth Indices That's some serious growth for a project that many people still think of as just another oracle. And with more customers paying for Pyth's data, the potential for funds flowing into the DAO's reserve mechanism increases too. — Look at who's already using Pyth @Nasdaq , @coinbase , @Kalshi and @Polymarket are all using Pyth's infrastructure in different ways. And in Q3, 94.1% of the $2.09T in RWA perpetual trading volume happened on venues using Pyth for pricing. That volume isn't directly Pyth revenue, but it gives you an idea of how widely its infrastructure is being used. So what does all this mean for $PYTH? You have a financial data business growing at 86% QoQ, expanding institutional adoption, and now a mechanism directing 100% of eligible DAO product receipts towards accumulating its token. Of course, the actual impact depends on how much revenue reaches the DAO and how much $PYTH gets purchased. But that's exactly what I'll be watching over the coming months. If Pyth can maintain anything close to this growth, I think the 100% Rule could end up being one of the most important changes they've made to $PYTH.

Tokenized equities reached a record $4.87B in September, with monthly onchain trading volume climbing to $15.6B. But the more interesting development is the shift in market structure, as @RobinhoodApp captured 42% of trading volume in just one month. This goes beyond trading activity. Robinhood is positioning tokenized equities as financial assets that can move across DeFi. Here's how that strategy is taking shape. — ● Robinhood takes the lead in tokenized equities September saw tokenized-equity trading volume reach a record $15.6B, but the distribution of that volume changed significantly. • Robinhood processed $6.57B, capturing 42% of the market. • @bstocksfinance declined 45.5% to $5.42B. • @xStocksFi recorded $2.11B. Robinhood's market share jumped from 9.7% to 42% in a single month, making it the largest trading venue by volume. The question is what allowed Robinhood to gain share so quickly. — ● From brokerage distribution to onchain finance Robinhood's advantage comes from combining its existing distribution network with tokenized financial infrastructure. The strategy has two layers: • Distribution: Robinhood brings tokenized equities into its existing brokerage and wallet ecosystem, connecting traditional investors with on-chain markets. • Tokenized stocks: Stock Tokens bring U.S. equity exposure on-chain, allowing these assets to move beyond brokerage trading into crypto markets. This changes the role of tokenized equities from assets primarily accessed through trading interfaces to instruments that can potentially serve multiple financial purposes. And Robinhood is building the infrastructure to support that transition. — ● Robinhood moves further down the infrastructure stack Robinhood initially tested tokenized stocks on Arbitrum One before moving toward its dedicated Robinhood Chain. • Arbitrum One : Initial home for Classic Stock Tokens. • Robinhood Chain : Dedicated infrastructure designed around tokenized assets and on-chain finance. Operating its own chain gives Robinhood greater control over execution, fees, liquidity, and DeFi integrations. The goal is to move beyond issuing stock wrappers toward building a financial environment where those assets can circulate. Stock -> Token -> Wallet -> DEX -> Lending -> DeFi Rather than remaining inside a brokerage, the same Stock Token can potentially support trading, collateral, liquidity, and other financial applications. — ● Stock Tokens become DeFi building blocks This is where composability becomes important. Robinhood's broader opportunity is to make tokenized equities usable across different parts of on-chain finance. The potential ecosystem spans seven areas: • Trading : Access 24/7 tokenized-stock markets. Projects: @Uniswap, @1inch, @rialto_xyz, @Lighter_xyz, @JupiterExchange • Lending : Use tokenized equities as collateral to borrow against. Projects: @Aave, @Morpho, @eulerfinance, @SkyEcosystem • Liquidity : Swap tokenized stocks and provide liquidity across pools. Projects: @Uniswap, @CurveFinance, @Balancer, @aeroxyz • Derivatives : Build perpetuals and options around equity exposure. Projects: @HyperliquidX, @aevoxyz, @DeriveXYZ, @paradex • Yield : Put tokenized assets to work through lending and DeFi strategies. Projects: @pendle_fi, @aave, @Morpho, @yearnfi • Portfolio : Hold, track, and manage tokenized equities directly on-chain. Projects: @RobinhoodApp, @MetaMask, @phantom, @zerion • Settlement : Move equity exposure through programmable on-chain infrastructure. Projects: @RobinhoodApp, @Ondo, @Securitize, @BackedFi These represent the broader opportunities for integration, rather than necessarily confirmed integrations. The important change is that a single tokenized equity can potentially serve several purposes instead of remaining locked within one trading platform. — ● Trading volume and asset distribution tell different stories Despite reaching $4.87B in tokenized-equity assets and $15.6B in monthly trading volume, the market has different leaders across both metrics. Assets under management: • @Securitize : $1.62B • @Ondo : $1.00B • @xStocksFi : $874M Monthly trading volume: • @RobinhoodApp : $6.57B • @bstocksfinance : $5.42B • @xStocksFi : $2.11B Securitize and Ondo lead in assets, while Robinhood leads in trading activity. This distinction matters because high trading volume does not automatically translate into deeper liquidity, greater asset adoption, or sustained DeFi usage. Robinhood's next challenge is converting that activity into lasting financial utility. — ● Regulation is becoming part of the equation Robinhood's September surge also coincided with regulatory developments around tokenized securities. On September 17, the @SECGov introduced an Innovation Exemption for certain tokenized-stock trading venues. • Tokenized securities venues could use permissioned AMMs and liquidity pools. • The proposed framework focuses on trading, settlement, ownership records, and liquidity. These developments could create more room for onchain equity markets, although the regulatory treatment of tokenized securities remains important. And that brings up another distinction investors need to understand. — ● Equity exposure is not always equity ownership Not all tokenized stocks represent the same legal or economic rights. Robinhood's global Stock Tokens currently provide economic exposure to underlying equities without direct shareholder rights. Broadly, there are two models: • Model A: Economic exposure : Tokens track the value of underlying stocks without granting direct shareholder ownership. Robinhood's current Stock Tokens fall into this category. • Model B: Tokenized security : Tokens preserve rights associated with the underlying security, including applicable ownership rights. The distinction matters as tokenized equities move into lending, collateral, and other financial applications. — Robinhood's rise to 42% market share shows how quickly distribution can reshape the tokenized-equity landscape. But the bigger opportunity goes beyond trading volume. By combining brokerage distribution, dedicated infrastructure, and DeFi composability, Robinhood is pushing tokenized stocks toward becoming financial primitives rather than simple equity wrappers. The real test is whether that initial trading momentum translates into durable liquidity, meaningful DeFi integration, and sustained onchain adoption.

MIDWEEK ALPHA v.08 SYNTHETIC EXPOSURE IS RUNNING AHEAD OF LEGAL OWNERSHIP Crypto did not build one market this cycle. It built four adjacent ones. They solve different problems and are not fully connected. A functioning market needs money, assets, risk pricing and probabilities. ▹ STABLECOINS - THE DOLLAR Stablecoin supply is about $300B, but supply is not payment usage. USDT dominates crypto trading and settlement through reach. USDC is increasingly positioned for regulated institutional use. PYUSD, RLUSD and USDG are pushing stablecoins further into payments. The next test is how much stablecoin activity becomes real payment and settlement volume. ▹ TOKENIZATION - THE CLAIM Tokenized equities are now a multi-billion-dollar market, but ownership remains the weak point. @Ondo offers tokenized US stocks and funds to non-US users. bStocks in the @binance ecosystem and xStocks follow similar models: the tokens are backed by shares, but holders may not have the same rights as direct shareholders. @Securitize provides issuance infrastructure rather than a trading market. The key distinction is simple: If the legal register stays off-chain, moving the token does not necessarily move the share. ▹ RWA PERPETUALS - THE PRICE RWA perps skipped ownership and went straight to price exposure. @binance leads with roughly $1.6T in tracked RWA perp volume, mostly equities. @HyperliquidX brought the model on-chain through HIP-3, while @okx and other venues are also expanding the market. The advantage is 247 access. The risk is pricing. When the underlying market is closed, oracles and liquidations become part of the market structure. ▹ PREDICTION MARKETS - THE PROBABILITY Prediction markets turn future events into tradable probabilities. Tracked volume reached about $85B over the last 30 days, with @Kalshi accounting for roughly 78%. @Polymarket remains a major source of event probabilities. But these markets still operate separately from stocks, tokens and perps. THE SPLIT Stablecoins move dollars. Tokenization puts claims on-chain. Perps trade prices without ownership. Prediction markets price probabilities. A perp can track a stock all weekend without owning it. A tokenized stock can move on-chain while ownership stays off-chain. The next phase is not about more volume. It is about connecting these markets without breaking ownership, pricing, liquidity or legal structure.