*Data last updated: 2026-05-04 02:26 (UTC+8)
As of 2026-05-04 02:26, SEA LTD-ADR (SE) is priced at $86,20, with a total market cap of $52,79B, a P/E ratio of 48,09, and a dividend yield of 0,00%. Today, the stock price fluctuated between $85,46 and $86,60. The current price is 0,86% above the day's low and 0,46% below the day's high, with a trading volume of 2,44M. Over the past 52 weeks, SE has traded between $80,30 to $93,43, and the current price is -7,73% away from the 52-week high.
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2026-04-30Q29zYSBzdGEgYWxpbWVudGFuZG8gbGEgY29udGludWEgY3Jlc2NpdGEgZGVsIHByZXp6byBkaSBPcmNhIChPUkNBKT8=
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2026-04-28RGFsbGUgZWxlemlvbmkgcG9saXRpY2hlIGFsbGEgbWFjcm9lY29ub21pYTogY29tZSBnbGkgRVRGIHN1aSBtZXJjYXRpIHByZWRpdHRpdmkgZGkgQml0d2lzZSBzdGFubm8gcmlkZWZpbmVuZG8gaWwgdHJhZGluZyBiYXNhdG8gc3VnbGkgZXZlbnRp
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2026-04-27SEA LTD-ADR (SE) FAQ
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SEA LTD-ADR (SE) Latest News
Ripple CEO Explains How RLUSD Could Access Fed Payment Rails via $1.6B Stablecoin
According to Ripple Treasury Evernorth CEO Asheesh Birla's recent X post, a proposed "skinny master account" policy shift could allow RLUSD to gain direct access to Federal Reserve payment systems. Birla explained that the limited master account model would give eligible stablecoin issuers direct settlement access through Fed infrastructure such as FedNow and Fedwire, without full banking privileges. RLUSD, issued through Ripple's New York-regulated trust structure, is positioned to fit this framework. Since launching in December 2024, RLUSD's market capitalization has expanded toward $1.6 billion and is now integrated across trading, settlement, and tokenization use cases, including BlackRock's BUIDL tokenized fund via Securitize.
2026-04-27 09:11OpenAI's Greg Brockman: AI Shifting from Chat to Autonomous Task Execution
Gate News message, April 27 — Greg Brockman, president and co-founder of OpenAI, says the next wave of artificial intelligence will move users from chatting with AI bots to assigning real-world tasks. This shift requires enterprises to rethink operational workflows and establish new protocols for security, management, and costs. Brockman argues that AI must move beyond standalone chat interfaces and integrate directly into existing corporate software to solve problems independently. Recent models have crossed a threshold of usefulness, improving at creating presentations, spreadsheets, and browser-based tasks with minimal instruction. However, granting AI this operational freedom introduces new risks—mistakes could escalate from sending incorrect emails to unauthorized database modifications. To manage this, Brockman explains that employees will transition from executing tasks to overseeing fleets of AI agents, remaining accountable while delegating operational details. The integration challenge extends to how users interact with AI systems. Models are becoming more intuitive, actively inferring user goals based on context rather than requiring step-by-step instructions. Brockman emphasizes that the competitive moat lies not in individual AI models but in the integrated system itself—comparable to building a car where a superior engine matters little if the rest of the vehicle lacks quality. OpenAI is investing in internal infrastructure and developer tooling to maintain this advantage. Compute capacity and costs present another critical constraint. As autonomous agents scale, they demand substantial server resources, creating tension between falling compute costs and rising demand. Brockman notes that OpenAI has reduced prices year-over-year while maintaining positive margins, but warns of an approaching "world of compute scarcity" as heavy agent usage approaches rate limits. Enterprise-grade oversight is equally vital; IT departments must maintain full visibility into all AI agents deployed within organizations, managing security, safety, and observability across hundreds of thousands of deployments. Counterbalancing these optimistic projections, Gartner predicted in June 2025 that over 40% of agentic AI projects will be scrapped by end of 2027 due to rising costs and unclear business value, with only 15% of daily work decisions expected to be made autonomously by 2028. Additionally, quality-adjusted AI model prices have fallen 80% over the past two years as smaller, more efficient models emerged and competition intensified, suggesting workflow integration and governance may become more defensible than raw model capability alone.
2026-04-23 12:17Sam Bankman-Fried Withdraws New Trial Motion, Citing Concerns Over Fair Hearing from Judge
Gate News message, April 23 — Sam Bankman-Fried, former FTX CEO, withdrew his motion for a new trial on Wednesday in a letter to U.S. District Judge Lewis Kaplan, stating he does not believe he will receive a "fair hearing" on the matter from the judge. In his filing with the U.S. District Court for the Southern District of New York, Bankman-Fried said he had been focused on responding to Kaplan's previous questions, including whether his attorney drafted his Rule 33 motion (a request for a new trial). "Because I do not believe I will get a fair hearing on this topic in front of you, I am now requesting to withdraw the Rule 33 motion, without prejudice to renewing it after my direct appeal and the related request for reassignment have been ruled upon," he said. Bankman-Fried was convicted in November 2023 on all seven criminal counts of defrauding FTX customers, lenders, and investors. He was sentenced to 25 years in prison. His mother, Barbara Fried, filed the motion for a new trial on his behalf in March. Bankman-Fried also filed an appeal in November seeking a new trial, which remains pending. Additionally, he has sought a pardon from President Donald Trump, though Trump stated in January he has no plans to grant one. On Wednesday, Bankman-Fried clarified that he conceived, drafted, and conducted much of the legal research for the Rule 33 motion while incarcerated in Brooklyn. He stated he did not consult his lawyer but shared drafts with his parents for editorial suggestions and with a New York attorney originally hired to represent him on the motion before he decided to represent himself pro se.
2026-04-17 06:01European Companies Build Bitcoin Treasury Strategy Diverging from MicroStrategy Model
Gate News message, April 17 — European companies are adopting Bitcoin treasury strategies aligned with local capital markets and regulatory constraints rather than replicating the debt-driven model pioneered by MicroStrategy, according to industry executives at Paris Blockchain Week 2026. Thomas Vogel, a partner at Latham & Watkins in Paris and Frankfurt, noted that European issuers face different constraints when raising capital, citing weaker market depth, tighter regulation, and different investor behavior compared to the U.S. Germany's Bitcoin Group SE leads European listed Bitcoin holders with 3,605 BTC worth approximately $268 million, while France's Capital B holds 2,925 BTC at a roughly 25.6% unrealized loss. European companies are turning to French public markets and Luxembourg-based structures to raise capital tied to Bitcoin exposure, according to Alexandre Laizet, who leads Bitcoin strategy at Capital B. This approach results in more conservative treasury positions aligned with local regulation and market conditions. The scale remains significantly smaller than the U.S. market. MicroStrategy purchased 13,927 BTC for approximately $1 billion in a single week, bringing its total holdings to 780,897 BTC—well above the combined Bitcoin holdings of all Europe's listed public companies.
