Top 9 Active Trader's Perspectives (https://t.co/aF4t9Vwrds recap) 2026.4.9 1. Ai 姨 (@ai_9684xtpa)【EF keeps selling into the market】 Core idea: She flags the Ethereum Foundation’s recent sale of 3,750 ETH, worth about $8.32 million, along with a planned 5,000 ETH sale to fund operating needs like R&D and grants. Her point is that even core ecosystem entities still need to monetize treasury holdings on an ongoing basis. Why it matters: This is not just a treasury update — it is a reminder that ecosystem funding comes with real market supply. Even if the sales are understandable, repeated foundation selling can still weigh on sentiment, especially when traders are already sensitive to marginal sell pressure. Original: https://t.co/AkgLprbwrQ 2. Ai 姨 (@ai_9684xtpa)【$173M short is back in profit】 Core idea: She reports that trader Jason (@Jason60704294) is now back in profit on a large bearish position: 2,201.507 BTC and 7,093 ETH short, with total exposure around $173 million. She also notes a BTC stop-loss zone around $73,000–$73,500, underscoring how precisely the trade is being managed. Why it matters: Large visible positions like this can shape market psychology far beyond their notional size. The takeaway is not just that one trader is bearish, but that high-conviction macro shorts are still willing to size aggressively at current levels. Original: https://t.co/iC1t3ge3Td 3. Mirage (@miragemunny)【Bring back memecoin airdrops】 Core idea: He argues that memecoin airdrops should make a comeback, pointing to an earlier phase when they helped unify communities by giving diamond-handed holders a low-friction, risk-free way to participate. In his view, airdrops lowered the emotional barrier to entry and created broader alignment across token communities. Why it matters: This is really a market-structure and community-design argument. He is suggesting that distribution mechanics can shape culture, and that broader, softer onboarding may work better than hyper-zero-sum launches in rebuilding speculative energy. Original: https://t.co/BT8jzzdWRQ 4. Santiago R Santos (@santiagoroel)【2%–4% DeFi yield is not enough】 Core idea: He argues that current DeFi yields in the 2%–4% range are far too low for the risks users take on-chain, including smart-contract risk, operational risk, and hidden credit exposure. In his view, yields need to be closer to 18% before retail users are truly being compensated for what they are underwriting. Why it matters: His broader message is that “safe DeFi yield” may be badly mispriced. If users are effectively funding opaque credit markets and taking protocol risk for single-digit returns, then the industry may be underestimating how fragile that capital base really is. Original: https://t.co/FJzlZjGMCV 5. Ignas (@defiignas)【Dolomite bad-debt fears are rising】 Core idea: He raises the alarm over possible bad debt on Dolomite, alleging that a politically connected group deposited $484 million of WLFI to borrow USDC with little expectation of repayment. The resulting 13.5% USDC lending rate, in his framing, is a symptom of deeper credit stress rather than a healthy opportunity. Why it matters: This highlights how quickly DeFi lending markets can become distorted when large, opaque borrowers dominate a venue. Attractive rates may look like yield, but in situations like this they may actually be the market pricing in insolvency risk. Original: https://t.co/HcR7eFD9Cc 6. Owen.btc (@owenjin12)【Crypto as sanction-resistant payment rail】 Core idea: He points to the idea of a “toll station” in the Strait of Hormuz, framing it as another example of crypto being used as a sovereign-resistant payment mechanism in geopolitically constrained environments. His emphasis is on crypto’s utility where traditional financial rails become politically inaccessible or operationally blocked. Why it matters: Whether or not this exact use case scales, the core thesis is clear: crypto becomes most relevant where the conventional system cannot serve neutrally. That keeps reinforcing the asset class’s geopolitical utility beyond pure speculation. Original: https://t.co/uhaGrR7Usa 7. Ye Su (@allen_su1024)【Anthropic is fighting for market share】 Core idea: He lays out Anthropic’s increasingly aggressive tactics against OpenAI, including double credits, rapid product updates, API restrictions, and promotional incentives. In his view, this is a full-scale competition for users, workflows, and mindshare ahead of possible IPO ambitions. Why it matters: The takeaway is that the AI race is no longer just about model quality. Distribution, pricing pressure, user lock-in, and ecosystem control are becoming just as important as raw capability. Original: https://t.co/b78VWgSJ45 8. SS (@sshxbt)【AI is going mainstream in China fast】 Core idea: He observes that AI discussion and experimentation in China has become remarkably widespread, extending well beyond technical users to people with limited tech backgrounds. He also links that shift with growing visibility of self-driving cars, suggesting AI is being absorbed into daily life much faster than many outsiders assume. Why it matters: His point is that AI adoption is no longer confined to labs, startups, or online power users. Once everyday users start experimenting with tools like Openclaw, it signals a deeper consumer and economic integration phase. Original: https://t.co/IolGEdjTd0 9. Route 2 FI (@route2fi)【56 nations exploring shared blockchain rails】 Core idea: He highlights the Commonwealth Union’s initiative to build a blockchain network spanning 56 nations, representing a combined $19 trillion economy and 2.9 billion people. He frames it as a serious sign of sovereign-scale interest in shared web3 infrastructure. Why it matters: If efforts like this move beyond announcements, they could mark a different phase of adoption — not retail speculation, but state-linked coordination and infrastructure experimentation. That would matter far more for long-term legitimacy than another cycle of token hype. Original: https://t.co/BOKskW7K5a