短期建議: 市場目前進入震盪,關注比特幣 $62,000 支撐表現,後續重點留意 6/26 期權交割及 7 月初經濟數據帶來的波動風險。 $BTC Crypto Brief: June 24, 2026 Market Update: BTC is consolidating between $62,000–$62,800 amid Nasdaq weakness. Market sentiment is cautious with $339M in liquidations over the past 24 hours. Key Highlights: BlackRock: Now recommends a 1%–2% allocation to IBIT for client portfolios. VanEck: Reports net ETF outflows driven by "forced liquidations" during this recovery phase. Regulation: U.S. Democrats seek hearings on potential links between the Trump crypto project and Abu Dhabi royal investments. Corporate: Enlivex (RAIN token) listed on Gate; Canaan executives increased stock holdings. Outlook: Monitor the $62,000 support. Watch for volatility ahead of the June 26 options expiry and early July economic data.
機構動態: Hyperscale Data 公告持續增持比特幣,目前持有約 727 枚 BTC,堅定看好其作為數位資產儲備的長期價值。
註:今日市場受總體經濟避險情緒影響較大,建議密切觀察 62,000 美元整數關卡的支撐表現。 $BTC 2026/06/23 Crypto Market Update Market Performance: Bitcoin (BTC) is retesting the $62,000 level, down approximately 2.57% today and trading around $62,358, reflecting a broader market "risk-off" sell-off. Tax Policy Updates: A U.S. crypto industry lobbying group has submitted the "Mining and Staking Tax Clarity Act" to the House of Representatives, advocating that assets should not be taxed at the moment of creation, aiming to alleviate cash flow pressure on miners and validators. Ethereum Ecosystem: Former Ethereum Foundation researchers have launched a non-profit organization, Ethlabs, aimed at improving Ethereum’s settlement and scalability capabilities to drive institutional adoption of the "Supercycle." Institutional News: Hyperscale Data has announced continued accumulation of Bitcoin, now holding approximately 727 BTC, signaling strong conviction in its long-term value as a digital asset reserve. Note: The market is significantly impacted by macro-economic risk-aversion sentiment today. It is recommended to closely monitor the support level at the $62,000 integer mark.
#opg $OPG 這幾天我一直在想一個 AI 圈很少人講、但我覺得超重要的問題:大家都在拚命想怎麼讓 AI 變得更聰明、跑得更快,但到底要怎麼讓它「該停就停」? 聽起來好像有點好笑,但你想想,如果未來我們真的把錢包交給 AI 去理財、去自動下單,我最怕的根本不是它變懶,而是它在那邊「認真地犯錯」。人類做錯事還會猶豫、會怕,但AI沒有感情啊,如果它的邏輯哪裡壞了,它真的會用最高效率把事情徹底搞砸。 這也是為什麼我最近一直回頭看 @OpenGradient ($OPG )。 外面的人可能覺得它是為了證明 AI 不會騙人(或是為了那些區塊鏈技術),但我看重的是它那個「可驗證推理」。 這概念就像飛機上的黑盒子,雖然它不見得能救你,但當 AI 真的出包時,你至少能把紀錄翻出來,看清楚到底是哪一步踩錯了。 我知道,要把 AI 的思考路徑全部記下來,維護成本高到不行,聽起來就很累。但想想以前寫程式,大家一開始也覺得寫 Log、做備份很煩、沒什麼必要,結果現在呢?這不都變成系統運作的「基本常識」了嗎? 所以現在看#opg ,心情真的很矛盾。我覺得它是未來的「必需品」,但目前技術看起來還是有點笨重。不過轉念一想,技術發展不就是這樣嗎?從以前那種亂無章法的「盲目衝刺」,慢慢變成有條有理的「工業標準」。