If Elon from PayPal Mafia invests in crypto, I think he's likely to invest in x money, agentic economy-related places -> Learned the value from Stripe's OpenRouter acquisition (https://t.me/Dove262/2529) The reason for pushing grok bot where there's no margin: expected places: quantum resistance, privacy also essential (proven Canton? , ZK side) x402 , MPP (circle? , coinbase?, Tempo?) prediction market (polymarket, kalshi) Hyperliquid (built on xmoney code?) Oracle TAM seems to expand greatly (Link, Pyth) And continuing to think about it, but I think Hyperliquid is deepfuck's plan. Space industry, electric vehicles, robots connected to grok bot and conducting agentic economy, when crypto is chosen as the infrastructure for that, where will the benefits come?
15 institutional cooperation coins entering Wall Street in 2026 Tier 1: Direct cooperation with exchanges and clearing institutions $HYPE | ICE (parent of New York Stock Exchange) invests in Hyperliquid ecosystem's TradeXYZ, pushing to build US-regulation-compliant perpetual futures market $CC | DTCC, Digital Asset build securities tokenization infrastructure, DTCC service officially launches on Canton Oct 28 $XLM | Cooperating with DTCC, planning to introduce Stellar's DTC custody securities tokenization in first half 2027 $QNT | Selected for The Clearing House's US bank on-chain deposit clearing network technology building, pushing Murex and capital markets system integration $LINK | Jointly developing with Swift, DTCC, Euroclear, UBS on cross-chain interoperability, tokenized fund settlement and securities business automation Tier 2: Cooperation with banks and large asset managers $ONDO | Subsidiary Oasis Pro joins as DTCC Fund/SERV's first tokenization platform member, participating in DTS ecosystem building $CFG | Cooperating with Janus Henderson, S&P DJI, Nasdaq, New York Life IM, providing infrastructure to issue on-chain US stock index funds and bond funds $XRP | Cooperating with BNY, SBI, Standard Chartered on digital asset custody, payment and trade finance tokenization, BNY supports XRP and RLUSD custody $XDC | Establishing joint venture with SBI for trade finance and payment business development, signing MOU on cross-border payments with Shinhan Card Tier 3: Direct investment from Wall Street capital $ZRO | Citadel Securities strategically buys ZRO, Tether invests in LayerZero Labs and ZRO, ICE and DTCC also participate in Zero ecosystem building $MORPHO | Signing official agreement with Apollo, Apollo affiliate can purchase up to 9M MORPHO over 48 months $UNI | BlackRock, Uniswap Labs, Securitize cooperate to integrate BUIDL to UniswapX, strategic investment in Uniswap ecosystem, UNI token investment also reported Tier 4: Institutional governance, financial data and joint demonstration $HBAR | Google, IBM, Nomura Securities, Shinhan Bank, Standard Bank etc. participate in Hedera steering committee, hold network governance voting rights $PYTH | Nasdaq,
🎬 Metric PropAMM 45-second summary Usually AMMs price based on token ratios in the pool (x·y=k). So if outside markets move first, pool prices lag by a beat, and arbitrage bots pocket that gap. Academia calls this LP loss LVR (Loss-Versus-Rebalancing). Metric flipped the order. ━━━━━━━━━━━━ 1️⃣ Price from outside: Oracles (Chainlink·Pyth) bring market price straight into the pool 2️⃣ Liquidity follows: LP funds are placed in % bands (bins) relative to reference price, and when price moves, bins follow wholesale. No need to reset ranges 3️⃣ Profit from spreads: LP·curators·Metric split bid-ask spreads ━━━━━━━━━━━━ Prop desks' market-making structure that was first hot on Solana—a PropAMM—has been opened for anyone to use on EVM. Launched on Ethereum·BNB Chain·Robinhood Chain mid-October, exceeding $1.2B trading volume and $11M TVL in just 5 days. Of that roughly $500M was tokenized stock trading, because the better you have a 'correct price' for an asset, the better this structure fits. ⚠️ Arbitrage losses are 'reduced' not eliminated. If oracle prices shift sharply, LPs can still take losses. Not investment advice · DYOR Metric is running a farming program alongside its public open. This isn't officially announced but is something people confirmed through the API. By the way, Pagu is researching several strategies to do not just farming but also Curator using AI. I'll share once we get results.
Park Ju-hyuk's YouTube videos always gave deep insights and I enjoyed watching, and I'm happy he's active again. I think the concept of trustless is important in crypto. The infrastructure that makes the trustless concept actually usable is what will clearly become the trend going forward. Agentic economy ultimately needs trustless infrastructure to be complete, so that's why my interest shifted more to cryptographic techniques like ZK. I feel like something will come from there (succinct, scroll, Zksync, zkml...?). And not just x402/MPP issues—I focused only on harness, trust, routing, speed, trading, UX in agent architecture, but paradoxically I think the source of liquidity will benefit most (DeFi, DEX, prediction markets, perps, options, etc.). Going further, cascade liquidation oracles like LINK and PYTH will probably be important too.
A Chinese user's post about Metric. Metric's mechanism - Uses external oracle prices like Chainlink and Pyth - LP-set price ranges move to match external prices - Designed so liquidity doesn't easily escape price ranges - Thus higher capital efficiency than traditional concentrated liquidity AMMs, but adds reliance on oracles and management entities. Parts the author sees positively - Team experience and execution look solid - Marketing and initial attention forming well - Unlike Perp DEX, easier for regular on-chain users to participate as LPs - Real improvements in mechanism make it worth considering as airdrop/early participation target 4 core risks: 1. Oracle risk - If oracle prices lag or are incorrect, LPs could receive trades at wrong prices - Particularly risky for some RWA pools where price feeds halt on weekends - Stopping trading means no fees earned, continuing risks Monday price gap arbitrage 2. Curator risk (this section may have errors since author also used AI to organize contract structure) Potential issues from curators managing pool spread and parameters, taking fees - Revenue distribution terms could change later - Withdrawal/stop-loss/whitelist extension settings could affect LP withdrawals - Possibility of spreads set too tight to chase volume, leaving LPs without adequate risk compensation - Risk that admin could pause pools in extreme situations 3. Impermanent loss doesn't disappear Metric reduces losses from lagging to follow outside prices and resulting arbitrage losses. Actual buy/sell trades in pools causing asset ratio changes remain. 4. Overly narrow price ranges - Setting ranges like -1%~+1% can show high APR, but when orders pile one direction, liquidity depletes fast and only one asset remains Author's participation principles - Avoid RWA pools without 24/7 stable oracles - Don't choose ultra-narrow ranges just chasing high APR - Check curator's history and authority before depositing - Be conservative until points/airdrop rules are publicly disclosed https://x.com/0xYond/status/2114192682495201775
This DEX bases LP range liquidity on oracles (Pyth, Chainlink, etc.) that change in real-time. It's probably a product designed for RWA products (tokenized stocks, tokenized funds) since even if there isn't much on-chain liquidity, they need to be traded on-chain in real-time based on traditional finance prices. The founder is a former Uniswap senior engineer, so it's going viral.
