重要な洞察 弱気のデッドクロス（death cross）のシグナルが出ていたにもかかわらず、ショートの清算（ショート・リキディエーション）が加速し、流動性が低い状況下で急速な上昇が起きたため、シバ・イヌ（Shiba Inu）の価格は急騰しました。 トンボ足（dragonfly doji）とボリンジャーバンドの引き締まり（tightening）が強気の勢いを支え、継続したdの後の反転パターンを強化しました。

暗号資産業界で最近行われた大規模な資金調達イベントは、OpenAI、OpenFX、Cross River のような主要プレイヤーに注目を集めています。OpenAI が $122B を集めて首位に立ち、続いて OpenFX が $94M、Cross River が $50M となっており、消費者向けの暗号資産ソリューションへの強い需要を示しています。

オンチェーン調査者のZachXBTは、2026年4月2日に、Circleが行動しなかったことを批判した。被害額は2,850万ドルのDrift Protocolのエクスプロイト中、盗まれたUSDCがそのCross-Chain Transfer Protocol（CCTP）を通じて数百万ドル規模で移動していたにもかかわらず、発行元は封印された民事事件においてそれより16営業日前に16のビジネスウォレットを凍結していた。

Author: Maria Shen, Electric Capital Partner; Translation: @金色财経xz Full data and interactive charts for this article available at the link: Article Summary ---- We reviewed 501 real-world yield sources and cross-referenced them with currently attractive on-chain real-world assets (RWAs). 1. Stablecoin demand first brought Treasury assets on-chain, and the current centralization of Treasuries is now driving higher-yield assets to follow. 2. Mainstream strategies for achieving instant high-yield asset experiences all see their returns pulled toward the risk-free rate level. 3. Tokenizable yield assets are abundant. Seven opportunity clusters reveal the potential that can be unlocked on-chain. 4. The biggest challenge is asset distribution. Among 35 yield-bearing non-stablecoin RWAs with market cap exceeding 50 million dollars, only

Author: Frank, PANews Over the past period, the hottest topic in tech and startup circles hasn't been a major company launching a new model, but rather the whole industry "raising lobsters." On one hand, the "raising lobsters" craze has driven business growth in related industries, with large language model companies and cloud server providers making a killing. On the other hand, it has become a mystery how much actual returns Openclaw can actually bring to users. While social media is filled with such mythical stories, upon closer inspection, most of them are virtual stories fabricated for traffic. Does "raising lobsters" really make money? If it does, who exactly is pocketing the profit? PANews has compiled data from the TrustMRR data platform, public cases from social media, official project websites, and multi-source cross-validated reports. In order to distinguish between "verified genuine income" and "self-described myths on the internet," we have filtered out a large amount of claims based solely on one-party statements.

Mastercard is acquiring stablecoin infrastructure company BVNK for up to $1.8 billion, a move aimed at protecting its market position in cross-border transactions as stablecoins threaten 37% of its revenue. BVNK will help Mastercard integrate stablecoin payments, improve settlement efficiency and reduce fees, while addressing regulatory challenges. The user experience may remain unchanged in the future, but settlement speed and costs are expected to improve.

主要な洞察 柴犬は、短期移動平均線が長期平均線を下回ったことにより、日足チャート上でデッドクロスを確認しています。 2日間で1120億以上のSHIBが取引所に移動し、潜在的な売却活動や短期的な価格圧力に対する市場の関心が高まっています。 SHIB

主要な洞察 柴犬（Shiba Inu）は短期移動平均線が長期移動平均線を下回ったことを確認し、日足チャートでデッドクロスを示しました。 2日以内に1120億以上のSHIBが取引所に移動し、市場の関心が潜在的な売却活動や短期的な価格圧力に高まっています。 SHIB

GDC 2026のサンフランシスコで、NEXUSがモスコーン・センターで12ブースの展示を行っている会場にて、同社はWolvesDAOとしても知られるWolvesCoとの覚書（MOU）に署名したことを発表しました。WolvesCoは、思想的リーダーシップ、ベンチャーキャピタルの洞察、コミュニティ構築で評判のWeb3シンクタンクです。

Author: Frank, PANews Over the past period, the hottest topic in tech and startup circles hasn't been a major company launching a new model, but rather the whole industry "raising lobsters." On one hand, the "raising lobsters" craze has driven business growth in related industries, with large language model companies and cloud server providers making a killing. On the other hand, it has become a mystery how much actual returns Openclaw can actually bring to users. While social media is filled with such mythical stories, upon closer inspection, most of them are virtual stories fabricated for traffic. Does "raising lobsters" really make money? If it does, who exactly is pocketing the profit? PANews has compiled data from the TrustMRR data platform, public cases from social media, official project websites, and multi-source cross-validated reports. In order to distinguish between "verified genuine income" and "self-described myths on the internet," we have filtered out a large amount of claims based solely on one-party statements.