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本日
10:14

イランの戦争がイーサリアムを逆風の中で押し上げ、トム・リーは金を売って暗号通貨を買うことを提案した。

Since the end of February, when the U.S. and Israel launched a war against Iran, Ethereum has performed excellently, outperforming several major assets. Fundstrat's research shows that Ethereum has risen 17% against the S&P 500, and Tom Lee believes it has significant potential as a risk-off asset. He predicts that Ether could rise to $250,000, and several institutions are optimistic about investing in it. Currently, the price of Ethereum fluctuates around $2,000, with ongoing market attention increasing.
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ETH-4.15%
BTC-4.29%
09:41

戦略が優先株の資金調達にシフト:STRCが個人投資家に狂ったように買われ、MSTRは年内に12%以上下落

Strategy社は、その資本構造の転換を加速しており、Aシリーズの浮動金利永続優先株STRCが個人投資家の注目を集めています。 STRCは高い配当利回りを提供し、個人投資家を惹きつけています。一方で、同社はSTRCを発行することで210億ドルを調達する計画です。 普通株MSTRのパフォーマンスは芳しくありませんが、STRCの発展は異なるリスク許容度を持つ投資家に新たな機会を提供しています。
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BTC-4.29%
09:16

BITレポート:ビットコインの流動性信号の欠如、短期的には高い確率でレンジ相場で推移

According to the BIT on Target report, Bitcoin should be understood from the perspective of liquidity and capital flow. Currently, market sentiment is cautious, with unclear trading and capital flow. In the short term, it may maintain a range-bound fluctuation, but there are still structural opportunities.
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BTC-4.29%
04:50

Anthropicが次世代モデル「Claude Mythos」を意図せずに漏洩:Opusを超える新たなレベル、ネットワークセキュリティ能力は「すべての既存のAIを遥かに上回る」

Anthropic is testing a new model called "Claude Mythos," which shows significant improvements in areas such as programming, reasoning, and cybersecurity. Leaked drafts indicate that Mythos represents a new level of model architecture, surpassing the existing Opus series, and possesses leading cybersecurity capabilities. The leak originated from a misconfiguration in the content management system, resulting in the exposure of unreleased assets, and Anthropic stated that it will adopt a more cautious release strategy.
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04:41

Eigen Labs が AgentKit ベータ版を発表し、保有資産を持つ自律 AI エージェントの構築をサポートします。

Eigen Labs has released the first Beta version of AgentKit on March 27th, which is a toolkit for developers focused on building autonomous AI agents capable of holding assets, making payments, and managing identities. The initial applications concentrate on media agents that auto-generate content, with future plans to include integration with social platforms and improvements to the user interface.
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07:50

Startale Labsは、6300万ドルのシリーズAラウンド資金調達を完了し、ソニーイノベーションファンドがリード投資しました。

シンガポールのWeb3インフラ企業Startale Labsは、6300万ドルのシリーズAラウンド資金調達に成功し、主にグローバルなスーパアプリの展開、インキュベーションプログラムの拡大、ブロックチェーンツールの開発、そして日本円ステーブルコインの推進に充てる予定です。今回の資金調達により、同社の評価額は大幅に引き上げられました。
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04:24

フータオ・ホールディングス傘下のライセンス取得済み仮想資産取引プラットフォーム「Leopard Trading Platform」が香港で正式に営業開始

Futu Holdings announced that its wholly-owned Leopard Trading Platform has obtained comprehensive licenses and officially commenced operations, becoming Hong Kong's first licensed virtual asset trading platform backed by a brokerage firm. The platform will be deeply integrated with Futu Securities to provide comprehensive financial services.
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04:23

SK海力士がアメリカ上場申請:最大144億ドルの調達を計画、5年ぶりの大型米国IPOとなる可能性

SK Hynix has submitted a listing application to U.S. securities regulators, planning to go public on U.S. exchanges in the second half of 2026, with a fundraising scale of between $9.6 billion and $14.4 billion. The listing aims to enhance the company's global value, with funds to be used for chip factory construction domestically and internationally, but faces opposition from governance forums regarding shareholder equity dilution.
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04:22

具身知能の「GPT時点」は本当に近づいているのか?Axis Roboticsがテスト終了を発表し、Baseチェーン上でのローンチ間近

> Article Source: Axis Axis Robotics is restructuring the data diversity and scalable production methods of embodied intelligence through a simulation-first strategy. In 2025, multiple technical pathways in the robotics industry are rapidly converging: the commodification upgrade of embodied hardware supply chains has made it possible for previously expensive prototypes to scale for the first time; vision-language-action (VLA) models provide robots with a "brain" for semantic understanding, reasoning, and planning; and the multi-layered data pyramid ranging from video priors to simulation synthesis continues to fuel the continuous evolution of embodied intelligence. However, the industry still faces a most critical bottleneck: data. Compared to large language models and autonomous driving, embodied intelligence still faces a massive data gap during the pretraining phase.
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