EU commissioners will meet on Friday for crunch talks aimed at imposing new restrictions on imports from China amid growing concern that Beijing is fuelling conditions for US-style rust belt towns in Europe. The surge in imports of everything from electric cars to key components in machines, medical devices and foodstuffs has been dubbed China Shock 2.0, potentially mirroring the experience in the...
EU commissioners will meet on Friday for crunch talks aimed at imposing new restrictions on imports from China amid growing concern that Beijing is fuelling conditions for US-style rust belt towns in Europe. The surge in imports of everything from electric cars to key components in machines, medical devices and foodstuffs has been dubbed China Shock 2.0, potentially mirroring the experience in the US 25 years ago when Beijing joined the World Trade Organization. Commissioners representing each member state have been asked to bring examples of Chinese activities in all 27 portfolios, spanning trade to agriculture, defence, health and digital initiatives to the talks. Sources said no decisions would be taken on Friday but the talks would help “align” the commission’s thinking and address overproduction in China, which is leading imports into the EU to be sometimes up to 40% cheaper than local products. It will also feed into the next leaders’ summit on 18 June when China will be one of the handful of items on the agenda. Ignacio García Bercero, a senior fellow at the Brussels thinktank Bruegel and a former official at the European Commission’s trade department, said the EU needed to formulate “a clearer strategy about how to deal with China”. He said quotas and tariff rate quotas could be introduced on Chinese goods, as they were safeguards that were much faster to implement than tariffs and could focus on areas that China is targeting, such as hybrid cars and chemical components. “I think that sometimes there’s a little bit of a tendency to sound very tough, but then not to act tough, and I don’t think that is a clever way to handle things.” He said while showing it was prepared to act, the EU must also engage with China. “The US has an engagement with China, Canada has an engagement with China. Everyone is having an engagement with China. I think in my view … we need to find a way to make sure that we are properly respected by China when we have that engagement.” Ea...
querbeet The France-based AI startup Mistral has considered developing its own artificial intelligence chips as it continues to compete with OpenAI ( OPENAI ) and Anthropic ( ANTHRO ) and rely on Nvidia ( NVDA ) for computing power, according to CEO Arthur Mensch during an interview with CNBC. "Owning the chips may come, I think it should come at some point, but for now we are relying on Nvidia , ...
querbeet The France-based AI startup Mistral has considered developing its own artificial intelligence chips as it continues to compete with OpenAI ( OPENAI ) and Anthropic ( ANTHRO ) and rely on Nvidia ( NVDA ) for computing power, according to CEO Arthur Mensch during an interview with CNBC. "Owning the chips may come, I think it should come at some point, but for now we are relying on Nvidia , which is a great partner to us, and we're testing a few things here and there," Mensch said, according to CNBC . Mistral has already started building its own data centers in Europe, with locations in France and Sweden. In-house chips seem a natural next step as hyperscalers Amazon ( AMZN ) and Google ( GOOG )( GOOGL ) have already developed multiple generations of processors. "Europe is lagging behind when it comes to the buildout of infrastructure, and so we are investing to close that gap," Mensch said. "You can't afford to have a commercial deficit of a trillion if you actually want to stay competitive in the race, and so that's something I think that people are realizing that we're talking about something that should be concerning for any one of us," he added. Mistral has already developed extra computing capacity and is renting some of that capacity out to other AI labs, according to the report. Mistral is aiming to generate $1.16B in revenue in 2026. On Thursday, Mistral announced Vibe, a single agent capable of long-running, multi-step work. "In Work Mode, Vibe is your AI agent for complex, multi-stage tasks, fluent in your knowledge, apps, and tools," Mistral said in a blog post . "It maps out a plan and gets your sign-off before it starts, then works across your connectors to carry the task through." More on OpenAI, Anthropic, Nvidia Nvidia: No Bull Market Lasts Forever (Rating Downgrade) Wall Street Lunch: First Step To AI Getting An Oscar No, Nvidia Is Not Cheap - Here's Why Groq pursues $650M fundraise following Nvidia's $20B licensing deal: report Nvidia partne...
GOAI: A Dead Duck malerapaso/iStock via Getty Images Introduction Eva Live ( GOAI ) represents one of the most high-risk speculative investments we have come across in a long time. The firm operates in a hyper-competitive environment, has a face-value-only profitability, aggressive accounting policies, millions of dollars in related party transactions with the CEO’s wife and to wrap it all up, car...
GOAI: A Dead Duck malerapaso/iStock via Getty Images Introduction Eva Live ( GOAI ) represents one of the most high-risk speculative investments we have come across in a long time. The firm operates in a hyper-competitive environment, has a face-value-only profitability, aggressive accounting policies, millions of dollars in related party transactions with the CEO’s wife and to wrap it all up, carries Going Concern notes in the financials recognising the serious doubt of the firm’s ability to continue trading. Eva Live has no Seeking Alpha analyst ratings, is not covered by Wall Street Analysts and the Quant does not provide a rating. So we are headed into unchartered territory. Let’s get stuck in. The Buy-Case: Event-driven micro-cap investment riding tailwinds of the recent anti-trust lawsuit against demand-side platform market-share holder Google . Media traffic costs normalise to 41%-45% range. Capital is raised in a disciplined manner to fund growth, rather than cash burn. Brand marketing and AI-services scale. Accounts receivable converts to cash. The Base-Case: Low double-digit growth with margin recovery Shareholders diluted by drawdowns on convertible promissory notes Media traffic costs normalise to 41%-45% range. Bear-Case: Accounts receivable write downs Reliance on dilutive financing Inability to scale services against peers Media traffic costs normalise to 41%-45% range. Overview of Eva Live Eva Live is a Los-Angeles based small-cap stock focused on AI and digital marketing services operating its own “Eva Platform”. The product lineup looks to automate the buying and optimization of digital ads across multiple platforms and channels. The firm primarily operates in North America, with seventeen customers at year-end 2025 (of which the top three account for 61% of revenues). The CEO, David Boulette, controls approximately 60% of outstanding shares, and was granted ~16m unvested options on shares (43% of total outstanding shares). Boulette comes from a ba...
Add Decrypt as your preferred source to see more of our stories on Google. In brief A Google employee was charged over alleged Polymarket trades using private data. The CFTC also filed a civil case seeking penalties and trading bans. The case is positive for prediction markets because it shows insider activity can be prosecuted, an industry expert told Decrypt. Federal prosecutors charged a Google...
Add Decrypt as your preferred source to see more of our stories on Google. In brief A Google employee was charged over alleged Polymarket trades using private data. The CFTC also filed a civil case seeking penalties and trading bans. The case is positive for prediction markets because it shows insider activity can be prosecuted, an industry expert told Decrypt. Federal prosecutors charged a Google employee with commodities fraud, wire fraud, and money laundering, alleging confidential data was used to trade on Polymarket prediction markets. Michele Spagnuolo, a staff software engineer at Google who used the alias “AlphaRaccoon,” allegedly bet about $2.75 million across Google-related Polymarket contracts from October 15 to December 4 last year, the U.S. Department of Justice disclosed Wednesday. Spanuolo allegedly won about $1.2 million from the predictions. Spagnuolo allegedly had access to a Google internal software tool that provided access to “confidential, nonpublic Year in Search data” and bore a “Google Confidential” banner, the DOJ’s criminal complaint reads. The U.S. Commodity Futures Trading Commission has also filed a parallel civil complaint, alleging Spagnuolo violated the Commodity Exchange Act and seeking restitution, disgorgement, civil penalties, trading and registration bans, and a permanent injunction. The case is the second federal prosecution tied to alleged prediction market insider trading. Late last month, a U.S. soldier pleaded not guilty to charges that he used classified military information to profit from Polymarket bets related to the capture of then Venezuelan President Nicolás Maduro, when the U.S. launched strikes on Venezuela in January. “Blockchain trading is transparent, traceable, and bad actors leave footprints,” a Polymarket spokesperson told Decrypt in response to questions on fairness and rules. Spagnuolo accessed marketing material through a tool available to all Google employees, a company spokesperson told Decrypt, adding...
The artificial intelligence (AI) revolution extends far beyond which chip designer makes the best graphics processing units (GPUs). At the core of AI workloads are memory and storage -- the DRAM and high-bandwidth memory (HBM) chips that keep massive training clusters fed with data at high speeds. As data centers scale to support larger AI models, memory demand is shifting from cyclical commodity ...
The artificial intelligence (AI) revolution extends far beyond which chip designer makes the best graphics processing units (GPUs). At the core of AI workloads are memory and storage -- the DRAM and high-bandwidth memory (HBM) chips that keep massive training clusters fed with data at high speeds. As data centers scale to support larger AI models, memory demand is shifting from cyclical commodity swings to a sustained structural boom. On April 2, the Roundhill Memory ETF (DRAM +4.13%) was launched. In its first 27 trading days, the fund amassed $6.5 billion in assets under management (AUM), making it the fastest launch of any ETF in history. The ETF IPO'd at $28 a share and is already trading at just over $60. DRAM packages the world's leading memory chipmakers into a single U.S.-listed vehicle, giving investors a streamlined way to benefit from the ongoing AI memory supercycle. Who are the key players of the AI memory supercycle? Hyperscale AI workloads require up to 10 times more DRAM to keep GPU clusters humming without latency bottlenecks. HBM has become a must-have resource, powering everything from large language model (LLM) training to inference deployments at scale. These dynamics have shifted supply and demand across the AI infrastructure landscape, handing memory manufacturers unprecedented pricing power. Roughly three-quarters of the Roundhill Memory ETF's portfolio is invested in three memory stocks: South Korea's SK Hynix and Samsung Electronics, alongside U.S.-based Micron Technology (MU +1.34%). Roundhill captures exposure to NAND flash leaders such as Kioxia and Sandisk (SNDK +6.05%), as well as storage specialists like Seagate Technology and Western Digital. Why global diversification is important One of DRAM's most interesting features is its composition. Investors gain immediate stakes in the Korean duopoly of Samsung and SK Hynix -- names that are challenging for U.S. retail (and even many institutional investors) to access, as neither offers Ame...
Azul has published a new whitepaper warning organizations that running Oracle Java in production without a paid subscription carries serious financial and compliance risks. The whitepaper, titled “Oracle Java Uncovered: What Free Java Users Need to Know Now,” comes as 73% of organizations report having been audited in the past three years. Under Oracle’s (NYSE: ORCL) Java SE Universal Subscription...
Azul has published a new whitepaper warning organizations that running Oracle Java in production without a paid subscription carries serious financial and compliance risks. The whitepaper, titled “Oracle Java Uncovered: What Free Java Users Need to Know Now,” comes as 73% of organizations report having been audited in the past three years. Under Oracle’s (NYSE: ORCL) Java SE Universal Subscription model, licensing costs are calculated based on total employee count, regardless of actual Java usage across the organization. A single unlicensed instance can trigger a demand to license the entire organization, often accompanied by multi-year back-usage fees charged at list price. That exposure extends beyond current employees, with audits potentially requiring organizations to license every contractor and part-time worker in addition to full-time staff. The whitepaper outlines four paths forward for organizations currently running Oracle Java without a paid license, giving decision-makers a structured framework for evaluating their options. Azul also cautions that switching to unsupported OpenJDK is not a straightforward fix, as it may not protect against back-usage fees tied to historical downloads of Oracle Java. Unsupported OpenJDK also introduces its own risks, including patch stability concerns and regulatory exposure under compliance frameworks such as PCI-DSS 4.0 and DORA. For organizations considering migration, Azul notes that OpenJDK is fully interchangeable with Oracle Java and requires no code changes or re-architecture to implement. Commercially supported OpenJDK providers offer migration methodology, automated tooling, and expertise designed to reduce the time and resources required for transition. Azul describes itself as the trusted leader in enterprise Java for the AI and cloud-first world, with its platform powering mission-critical systems for 36% of the Fortune 100. The company also counts 50% of the Forbes Top Ten World’s Most Valuable Brands and the...
CVW CleanTech press release ( CVW:CA ): Q1 GAAP EPS of C$0.00. Cash and cash equivalents of C$51.7 million at the end of Q1 2026, compared with C$4.6 million a year earlier. More on CVW CleanTech Financial information for CVW CleanTech
CVW CleanTech press release ( CVW:CA ): Q1 GAAP EPS of C$0.00. Cash and cash equivalents of C$51.7 million at the end of Q1 2026, compared with C$4.6 million a year earlier. More on CVW CleanTech Financial information for CVW CleanTech
There’s nothing quite like the warmth of the sun on your face after a long, dreary winter. But before you bask in it, you should always apply an SPF. That’s especially true if you use vitamin C and retinol serums, which can increase your vulnerability to sun damage. If you’re not wearing an SPF every day, you might as well toss the rest of your skincare out of the window. The Guardian’s journalism...
There’s nothing quite like the warmth of the sun on your face after a long, dreary winter. But before you bask in it, you should always apply an SPF. That’s especially true if you use vitamin C and retinol serums, which can increase your vulnerability to sun damage. If you’re not wearing an SPF every day, you might as well toss the rest of your skincare out of the window. The Guardian’s journalism is independent. We will earn a commission if you buy something through an affiliate link. Learn more. As well as the risk of sunburn, UV rays cause longer-lasting, deeper skin damage, resulting in age spots, pigmentation and premature ageing. But if the thought of slathering sticky sunscreens on your face every day makes you want to spend your life in perpetual shade, you’ve come to the right place. Dedicated facial SPFs are designed to feel weightless, sit well under makeup and leave no trace on the skin, so you can skip that ghostly white cast or looking like a greasy mess. I’ve spent the past three months putting the most popular face SPFs to the test; you’ll find my pick of the best below. At a glance Best face SPF overall: Beauty of Joseon relief sun rice + probiotics Best budget face SPF: E45 Sensitive Sun face cream Best face sunscreen for oily skin: Haruharu Wonder black rice moisture airyfit daily sunscreen Best face sunscreen for dry skin: Laneige Hydro UV Defense Ex Best face sunscreen spray: Naked Sundays hydrating glow face mist Why you should trust me As a beauty writer, I’m constantly testing new skincare. I’ve worn face SPF every day for the past five years, and tested 30 formulations for this roundup, so I’ve become well acquainted with the best and worst aspects of a facial sunscreen. I’ve also completed a course in cosmetic science, which has taught me everything I need to know about how a brand might formulate an SPF, and what to check for in an ingredients list. It also taught me what works for different skin types, including sensitive skin. These reco...
The artificial intelligence (AI) revolution extends far beyond which chip designer makes the best graphics processing units (GPUs). At the core of AI workloads are memory and storage -- the DRAM and high-bandwidth memory (HBM) chips that keep massive training clusters fed with data at high speeds. As data centers scale to support larger AI models, memory demand is shifting from cyclical commodity ...
The artificial intelligence (AI) revolution extends far beyond which chip designer makes the best graphics processing units (GPUs). At the core of AI workloads are memory and storage -- the DRAM and high-bandwidth memory (HBM) chips that keep massive training clusters fed with data at high speeds. As data centers scale to support larger AI models, memory demand is shifting from cyclical commodity swings to a sustained structural boom. On April 2, the Roundhill Memory ETF (DRAM +4.13%) was launched. In its first 27 trading days, the fund amassed $6.5 billion in assets under management (AUM), making it the fastest launch of any ETF in history. The ETF IPO'd at $28 a share and is already trading at just over $60. DRAM packages the world's leading memory chipmakers into a single U.S.-listed vehicle, giving investors a streamlined way to benefit from the ongoing AI memory supercycle. Who are the key players of the AI memory supercycle? Hyperscale AI workloads require up to 10 times more DRAM to keep GPU clusters humming without latency bottlenecks. HBM has become a must-have resource, powering everything from large language model (LLM) training to inference deployments at scale. These dynamics have shifted supply and demand across the AI infrastructure landscape, handing memory manufacturers unprecedented pricing power. Roughly three-quarters of the Roundhill Memory ETF's portfolio is invested in three memory stocks: South Korea's SK Hynix and Samsung Electronics, alongside U.S.-based Micron Technology (MU +1.55%). Roundhill captures exposure to NAND flash leaders such as Kioxia and Sandisk (SNDK +6.05%), as well as storage specialists like Seagate Technology and Western Digital. Why global diversification is important One of DRAM's most interesting features is its composition. Investors gain immediate stakes in the Korean duopoly of Samsung and SK Hynix -- names that are challenging for U.S. retail (and even many institutional investors) to access, as neither offers Ame...
Key Points Memory and storage chips are becoming the latest must-haves for artificial intelligence (AI) data centers. Some of the largest manufacturers of AI memory chips are overseas and are challenging to invest in. The Roundhill Memory ETF is a pure-play basket of domestic and foreign AI memory and storage chip stocks packaged in a single ticker. 10 stocks we like better than Roundhill ETF Trus...
Key Points Memory and storage chips are becoming the latest must-haves for artificial intelligence (AI) data centers. Some of the largest manufacturers of AI memory chips are overseas and are challenging to invest in. The Roundhill Memory ETF is a pure-play basket of domestic and foreign AI memory and storage chip stocks packaged in a single ticker. 10 stocks we like better than Roundhill ETF Trust - Roundhill Memory ETF › The artificial intelligence (AI) revolution extends far beyond which chip designer makes the best graphics processing units (GPUs). At the core of AI workloads are memory and storage -- the DRAM and high-bandwidth memory (HBM) chips that keep massive training clusters fed with data at high speeds. As data centers scale to support larger AI models, memory demand is shifting from cyclical commodity swings to a sustained structural boom. On April 2, the Roundhill Memory ETF (NYSEMKT: DRAM) was launched. In its first 27 trading days, the fund amassed $6.5 billion in assets under management (AUM), making it the fastest launch of any ETF in history. The ETF IPO'd at $28 a share and is already trading at just over $60. Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue » DRAM packages the world's leading memory chipmakers into a single U.S.-listed vehicle, giving investors a streamlined way to benefit from the ongoing AI memory supercycle. Who are the key players of the AI memory supercycle? Hyperscale AI workloads require up to 10 times more DRAM to keep GPU clusters humming without latency bottlenecks. HBM has become a must-have resource, powering everything from large language model (LLM) training to inference deployments at scale. These dynamics have shifted supply and demand across the AI infrastructure landscape, handing memory manufacturers unprecedented pricing power. Roughly three-...
The artificial intelligence (AI) revolution extends far beyond which chip designer makes the best graphics processing units (GPUs). At the core of AI workloads are memory and storage -- the DRAM and high-bandwidth memory (HBM) chips that keep massive training clusters fed with data at high speeds. As data centers scale to support larger AI models, memory demand is shifting from cyclical commodity ...
The artificial intelligence (AI) revolution extends far beyond which chip designer makes the best graphics processing units (GPUs). At the core of AI workloads are memory and storage -- the DRAM and high-bandwidth memory (HBM) chips that keep massive training clusters fed with data at high speeds. As data centers scale to support larger AI models, memory demand is shifting from cyclical commodity swings to a sustained structural boom. On April 2, the Roundhill Memory ETF (NYSEMKT: DRAM) was launched. In its first 27 trading days, the fund amassed $6.5 billion in assets under management (AUM), making it the fastest launch of any ETF in history. The ETF IPO'd at $28 a share and is already trading at just over $60. Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue » DRAM packages the world's leading memory chipmakers into a single U.S.-listed vehicle, giving investors a streamlined way to benefit from the ongoing AI memory supercycle. Image source: Getty Images. Who are the key players of the AI memory supercycle? Hyperscale AI workloads require up to 10 times more DRAM to keep GPU clusters humming without latency bottlenecks. HBM has become a must-have resource, powering everything from large language model (LLM) training to inference deployments at scale. These dynamics have shifted supply and demand across the AI infrastructure landscape, handing memory manufacturers unprecedented pricing power. Roughly three-quarters of the Roundhill Memory ETF's portfolio is invested in three memory stocks: South Korea's SK Hynix and Samsung Electronics, alongside U.S.-based Micron Technology (NASDAQ: MU). Roundhill captures exposure to NAND flash leaders such as Kioxia and Sandisk (NASDAQ: SNDK), as well as storage specialists like Seagate Technology and Western Digital. Why global diversification is important One ...
IREN Ltd. , a company that builds and operates data centers for training artificial intelligence models, borrowed about $3.6 billion to provide computing capacity to Microsoft Corp. The Australian company this month sold about $2.1 billion of bonds in a private placement and lined up $1.5 billion worth of project finance loans to help fund a purchase of Nvidia Corp. graphics processing units, know...
IREN Ltd. , a company that builds and operates data centers for training artificial intelligence models, borrowed about $3.6 billion to provide computing capacity to Microsoft Corp. The Australian company this month sold about $2.1 billion of bonds in a private placement and lined up $1.5 billion worth of project finance loans to help fund a purchase of Nvidia Corp. graphics processing units, known as GPUs, that will be used by Microsoft in a Texas data center, according to a person with knowledge of the matter. JPMorgan Chase & Co. and Goldman Sachs Group Inc. arranged the financing, according to other people with knowledge of the deal. All of the people asked not to be identified because they’re not authorized to speak publicly. Representatives for the banks declined to comment. A representative for IREN didn’t respond to a request for comment and Microsoft didn’t immediately provide a comment. The company also sold $3 billion of convertible notes earlier this month for general corporate purposes and to support hedging for arbitrageurs. Read More: A Guide to the Circular Deals Underpinning The AI Boom In November, Microsoft inked a $9.7 billion deal to buy AI computing capacity from IREN. The five-year agreement gives Microsoft access to Nvidia chips in Texas. It’s just one of the several multibillion-dollar deals Microsoft has signed with data center operators in order to compete in the race to build up AI infrastructure. Nvidia, the dominant maker of AI processors, said earlier in May that it’s investing as much as $2.1 billion in IREN, as part of a partnership between the two companies. IREN also agreed to sell Nvidia a five-year right to purchase its shares at a $70 exercise price, known as a call option. The company, originally a cryptocurrency miner, has seen its stock rise more than 600% over the last year.
Wyn Wiley, who performs as Pattie Gonia, said the firm was threatening "the erasure of my name, my advocacy, my community" and the livelihoods of those employed by the drag queen and climate activist.
Wyn Wiley, who performs as Pattie Gonia, said the firm was threatening "the erasure of my name, my advocacy, my community" and the livelihoods of those employed by the drag queen and climate activist.
Broadcom’s MDA SHIELD Award advances the company’s longstanding strategic partnership across America’s missile defense enterprise. Share "Broadcom & MDA SHIELD: Strategic Partnership for Software-Defined C2" on Twitter Share "Broadcom & MDA SHIELD: Strategic Partnership for Software-Defined C2" on Facebook Share "Broadcom & MDA SHIELD: Strategic Partnership for Software-Defined C2" on LinkedIn A m...
Broadcom’s MDA SHIELD Award advances the company’s longstanding strategic partnership across America’s missile defense enterprise. Share "Broadcom & MDA SHIELD: Strategic Partnership for Software-Defined C2" on Twitter Share "Broadcom & MDA SHIELD: Strategic Partnership for Software-Defined C2" on Facebook Share "Broadcom & MDA SHIELD: Strategic Partnership for Software-Defined C2" on LinkedIn A missile is detected over the Pacific Ocean. A global network of integrated sensors in space, on land, and under the sea track the event. The C2 Battle Management & Command System identifies the missile, tracks its trajectory towards North America, and launches the counter measures to intercept the threat. This is the vision of Golden Dome for America. The future of America’s missile defense system. The mission of MDA SHIELD. A vision, future, and mission for which Broadcom is foundational as a strategic partner in America’s missile defense enterprise. Broadcom Reaffirms Strategic Partnership with MDA SHIELD IDIQ Award Broadcom’s VMware software portfolio has long been integral to the United States missile defense enterprise. That relationship has advanced with the selection of the company as a recipient of an indefinite delivery/indefinite quantity (IDIQ) award from the Missile Defense Agency (MDA) for the Scalable Homeland Innovative Enterprise Layered Defense (SHIELD) program. MDA SHIELD is aimed at accelerating the nation’s development, testing, and fielding of next- generation advanced missile defense systems to comprehensively detect and eliminate land, sea, air, and space missile threats from any adversary. The SHIELD multi-domain defense system encompasses nineteen work areas. The work areas covered by the contracts include research and development (R&D), prototyping, weapons development, modernization, and cybersecurity. Broadcom’s extraordinary breadth of advanced technologies may wind up underpinning them all. The MDA-IDIQ has a ceiling of $151 billion over 10 year...
mbbirdy/E+ via Getty Images Wall Street pushes higher on Thursday as investors assessed a slew of macroeconomic data and reports that the U.S. and Iran are close to reaching a peace deal. The blue chip Dow ( DJI ) was +0.1%, the benchmark S&P 500 ( SP500 ) was +0.5%, and the tech focused Nasdaq Composite ( COMP:IND ) was +0.6%. Now, here are 4 news stories that broke in the morning to watch out fo...
mbbirdy/E+ via Getty Images Wall Street pushes higher on Thursday as investors assessed a slew of macroeconomic data and reports that the U.S. and Iran are close to reaching a peace deal. The blue chip Dow ( DJI ) was +0.1%, the benchmark S&P 500 ( SP500 ) was +0.5%, and the tech focused Nasdaq Composite ( COMP:IND ) was +0.6%. Now, here are 4 news stories that broke in the morning to watch out for: PCE inflation data: The core personal consumption expenditure price index rose 0.2% month-over-month in April, slightly below the 0.3% consensus and marking a deceleration from March’s 0.3% increase. On a year-over-year basis, core PCE held at 3.3%, in line with expectations but still well above the Fed’s 2% target. Meanwhile, consumer spending climbed 0.5% while personal income was flat, pushing the personal saving rate down to 2.6%, its lowest level in at least 16 months. Caesars Entertainment ( CZR ) buyout: Fertitta Entertainment agreed to acquire Caesars Entertainment in an all-cash transaction valued at approximately $17.6 billion, including the assumption of roughly $11.9 billion in debt. Caesars shareholders will receive $31.00 per share, representing a 49% premium over the company’s unaffected share price as of February 25. The Caesars board has approved the deal and recommends shareholder adoption. Drone stocks surge: Shares of drone companies rallied sharply after The Wall Street Journal reported that the Trump administration is considering funding agreements with several manufacturers as part of a push to expand domestic production. Unusual Machines ( UMAC ) surged 54.4%, Red Cat Holdings ( RCAT ) gained 32%, and AeroVironment ( AVAV ) rose 18.4%. Companies identified as potential Pentagon funding candidates include Performance Drone Works, Unusual Machines—whose shareholders include advisory board member Donald Trump Jr.—and Sequoia-backed Neros Technologies. Bitcoin hits six-week low: Bitcoin fell as much as 3.3% to $72,643 on Thursday, marking its weakest ...