BUSINESS

The Braves scored eight runs in the fifth inning due to an overturned strike three and an overturned double play, and then faced a position player in the ninth inning.

Clayton Allen, the head of Eurasia Group’s U.S. practice, joined “Forbes Newsroom” to discuss the “fragile” state of the temporary U.S.-Iran ceasefire.

Tens of millions of American workers have no employer-sponsored retirement plan. President Donald Trump wants the federal government to fill that gap, and he is dangling a $1,000 annual match to make it happen.The president unveiled the proposal during his February State of the Union Address, calling for new federal retirement accounts for workers who lack access to a 401(k) plan. Participants could receive up to $1,000 in matching contributions each year. For seniors who are still working and behind on savings, the match is intended to accelerate what they have managed to put away.How President Trump’s retirement match plan would workPresident Trump has said the new account would resemble the Thrift Savings Plan, the defined contribution plan available to federal employees. Like a 401(k), the TSP allows participants to make contributions through automated payroll deductions and invest across a range of options.If the president’s plan follows the same rules as the TSP, participants could contribute pre-tax dollars for an upfront tax break, or make Roth contributions with after-tax money and withdraw funds tax-free in retirement. More Personal Finance:Retirees following 4% rule are leaving thousands on the tableFidelity says a $500 policy could protect your entire net worthFidelity’s 4 Roth strategies could save your family a fortune in taxesFederal workers can contribute up to $24,500 to their TSPs in 2026. Workers ages 50 and up can make additional catch-up contributions of $8,000 to $11,250, depending on their age.The administration has not yet spelled out how the match would work in practice. One possibility is a dollar-for-dollar match on the first $1,000 saved. Another is a 50% match, which would require a worker to contribute $2,000 to receive the full $1,000, similar to how the existing saver’s tax credit functions.Who would the Trump retirement account actually help?Federal Reserve data show that 70% of American adults between ages 55 and 64 already have some form of tax-preferred retirement savings account. For that group, Trump’s plan would provide an additional savings vehicle and a federal contribution to help build balances faster.The remaining 30% of that age group, those with no retirement savings at all, is a different story. Getting someone with no savings habit and potentially tight cash flow to contribute $1,000 upfront is a real hurdle, regardless of what the government offers to match.Nicholas St. George, a certified financial planner and chartered retirement planning counselor at St. George Wealth Management in Denver, North Carolina, acknowledged the problem the plan is trying to solve. “He’s going after an issue that is a big problem,” St. George said. “Social Security alone isn’t enough to retire on.”But he was candid about the limits. For people who already struggle to save, a $1,000 match is a “drop in the bucket,” he said.

President Trump has said his proposed new retirement account would resemble the Thrift Savings Plan.Momo/Getty Images

What seniors should do nowFinancial advisors are cautioning seniors not to wait for the plan to take shape before taking action on retirement savings. The proposal is still just that, a proposal, and the mechanics of the match have not been finalized.St. George’s advice is practical. Rather than trying to find $1,000 or $2,000 in one shot, he recommends breaking it down. “Set smaller weekly savings goals,” he said. Even with a 50% match, “$40 per week is much more manageable.”Key things still unknown about President Trump’s retirement plan:Whether the match will be 100% of the first $1,000 or a smaller percentage requiring a larger contributionWhich workers will qualify and how eligibility will be determinedWhether the account will carry income limits similar to existing IRA contribution rulesWhen the plan would take effect and how the IRS would administer the matching processThe broader retirement gap it is trying to addressThe proposal comes against a backdrop of widespread retirement insecurity. Social Security was never designed to be a complete retirement income source, yet for many Americans it effectively functions as one. Expanding access to tax-advantaged savings with a government match is one way to nudge more workers into the habit of saving, even if the amounts involved are modest relative to what a comfortable retirement actually requires.Whether the plan clears Congress in its current form, gets scaled back, or stalls entirely remains to be seen. But the underlying problem it aims to address, millions of Americans reaching retirement age with little to nothing saved, is not going away, regardless of what Washington decides to do about it.Related: Robinhood and BNY make a bold bet on Trump Accounts

What a difference a day makes.

Broadcom (AVGO) stock is up, trading 4.28% higher at $348.27 at the time of writing, Wednesday morning, April 8, according to Yahoo Finance. The company settled an important question for many investors, and they are reacting positively.The question is, how secure are Broadcom’s revenue streams? The company’s CEO, Hock Tan, previously addressed this question during the Q1 earnings call.Tan specifically answered the question of whether LLM makers could start making their own chips without Broadcom’s help.“They face tremendous challenges. You need the best silicon design team around. You need cutting-edge, really cutting-edge SerDes, very advanced packaging. We’ve been doing this for 20 years, more than 20 years in silicon.”“I would say we are by far way out there, and we will not see competition in [customer-owned tooling (COT)] for many years to come,” he concluded.However, that wasn’t enough, and the company’s 8-K filing from April 6 proved more convincing. The stock closed 6.21% higher the following day after the filing revealed important supply agreements with Google and Anthropic.Broadcom extends partnerships with Google and AnthropicBroadcom and Google entered into a long-term agreement for Broadcom to develop and supply custom Tensor Processing Units (TPUs) for Google’s future generations of TPUs.The companies also entered into a supply assurance agreement under which Broadcom will supply networking and other components for Google’s next-generation AI racks through 2031.In addition, Broadcom expanded its partnership with Google and Anthropic, under which Anthropic will, starting in 2027, access approximately 3.5 gigawatts of AI compute capacity through Broadcom.“This groundbreaking partnership with Google and Broadcom is a continuation of our disciplined approach to scaling infrastructure: We are building the capacity necessary to serve the exponential growth we have seen in our customer base while also enabling Claude to define the frontier of AI development,” said Anthropic CEO Krishna Rao in a press release. Bank of America analyst Vivek Arya and his team updated their opinion on Broadcom stock following the new supply agreements.

Bank of America says TPU deals extend AVGO’s multi-year AI supply visibility.Shutterstock

Bank of America says TPU deals extend AVGO’s multi-year AI supply visibilityThe team said they believe this deal solidifies Broadcom’s role as the main TPU design partner and addresses recent concerns that Google wants to insource more, switch to COT, or bring in other partners such as MediaTek.Analysts said that Broadcom is well-positioned to gain AI accelerator market share in 2026 and 2027, and to grow from less than 10% in 2025 toward approximately 15%.They noted that Google has historically been deploying its own networking solutions, separate from the TPUs, but with the new agreement, Broadcom can now supply networking into Google racks, including Taurus 1.6T DSPs for optical transceivers, Tomahawk 6 switches for scale-up, and others.More Tech Stocks:Bank of America resets Nvidia stock forecast after meeting with CFOGoldman Sachs resets Marvell price target after earningsBank of America resets Amazon stock forecastThey believe that Broadcom’s content is likely in the range of approximately $10 billion to $15 billion per 1 GW, with the agreement totaling more than $35 billion. According to the team, this is lower than AMD’s approximately $15 billion to 20 billion per 1 GW and Nvidia’s $25 billion to $30 billion per 1 GW. They said this difference is because Broadcom provides just accelerator chips and networking switches, and does not provide CPUs or network interface cards.Arya noted that the deployment would also depend on the company’s continued commercial success, adding that Anthropic’s new disclosure that its run-rate revenue has surpassed $30 billion represents good progress.Analysts continue to see more than $30 of EPS power (including stock-based compensation) by 2030, as Broadcom’s custom application-specific integrated circuit programs provide multi-year visibility and as Broadcom’s networking wins gain more traction.In a research note shared with me, Arya reiterated a buy rating for Broadcom stock and a target price of $450, based on a 26x multiple of his calendar-year 2027 price-to-earnings estimate.Analysts noted downside risks for Broadcom:Semiconductor cycle risksHigh exposure to Apple and Google with potential design out risksCompetitive risks in networking, smartphone, storage, and enterprise software marketsFrequent acquirer of assets, which increases financial and integration risksLarge $60 billion net debtRelated: Morgan Stanley resets Broadcom price target after earnings

Meta has been one of the most interesting companies of the generative AI era — initially gaining a loyal and huge following of users for the release of its mostly open source Llama family of large language models (LLMs) beginning in early 2023 but coming to screeching halt last year after Llama 4 debuted to mixed reviews and ultimately, admissions of gaming benchmarks.That bumpy rollout of Llama 4 apparently spurred Meta founder and CEO Mark Zuckerberg to totally overhaul Meta’s AI operations in the summer of 2025, forming a new internal division, Meta Superintelligence Labs (MSL) which he recruited 29-year-old former Scale AI co-founder and CEO Alexandr Wang to lead as Chief AI Officer. Now, today, Meta is showing us the fruits of that effort: Muse Spark, a new proprietary model that Wang says (posting on rival social network X, used more often by the machine learning community) is “the most powerful model that meta has released,” and has “support for tool-use, visual chain of thought, & multi-agent orchestration.” He also says it will be the start of a new Muse family of models, raising questions about what will become of Meta’s popular lineup and ongoing development of the Llama family. It arrives not as a generic chatbot, but as the foundation for what Wang calls “personal superintelligence”—an AI that doesn’t just process text but “sees and understands the world around you” to act as a digital extension of the self, echoing Zuckberg’s public manifesto for a vision of personal superintelligence published in summer 2025.However, it is proprietary only — confined for now to the Meta AI app and website, as well as a ” private API preview to select users,” according to Meta’s blog post announcing it — a move likely to rankle the literally billions of users of Llama models and the thousands of developers who relied upon it (some of whom are active participants in rival social network Reddit’s r/LocalLLaMA subreddit). In addition, no pricing information for the model has yet been announced.It’s unclear if Meta has ended development on the Llama family entirely. When asked directly by VentureBeat, a Meta spokesperson said in an email: “Our current Llama models will continue to be available as open source,” which doesn’t address the question of development of future Llama models. Visual chain-of-thoughtAt its core, Muse Spark is a natively multimodal reasoning model. Unlike previous iterations that “stitched” vision and text together, Muse Spark was rebuilt from the ground up to integrate visual information across its internal logic. This architectural shift enables “visual chain of thought,” allowing the model to annotate dynamic environments—identifying the components of a complex espresso machine or correcting a user’s yoga form via side-by-side video analysis.The most significant technical leap, however, is a new “Contemplating” mode. This feature orchestrates multiple sub-agents to reason in parallel, allowing Meta to compete with extreme reasoning models like Google’s Gemini Deep Think and OpenAI’s GPT-5.4 Pro.In benchmarks, this mode achieved 58% in “Humanity’s Last Exam” and 38% in “FrontierScience Research,” figures that Meta claims validate their new scaling trajectory.Perhaps more impressive for the company’s bottom line is the model’s efficiency. Meta reports that Muse Spark achieves its reasoning capabilities using over an order of magnitude less compute than Llama 4 Maverick, its previous mid-size flagship. This efficiency is driven by a process called “thought compression”. During reinforcement learning, the model is penalized for excessive “thinking time,” forcing it to solve complex problems with fewer reasoning tokens without sacrificing accuracy.Benchmarks reveal a return-to-formThe launch of Muse Spark is framed as a statistical “quantum leap,” ending Meta’s year-long absence from the absolute frontier of AI performance. By reconciling Meta’s official internal data with independent auditing from third-party LLM tracking firm Artificial Analysis, a clear picture emerges: Muse Spark is not just a marginal improvement over the Llama series; it is a fundamental re-entry into the “Top 5” global models.According to the Artificial Analysis Intelligence Index v4.0, Muse Spark achieved a score of 52. For context, Meta’s previous flagship, Llama 4 Maverick, debuted in 2025 with an Index score of just 18. By nearly tripling its performance, Muse Spark now sits within striking distance of the industry’s most elite systems, trailing only Gemini 3.1 Pro Preview (57), GPT-5.4 (57), and Claude Opus 4.6 (53).Meta’s official benchmarks suggest that Muse Spark is particularly dominant in multimodal reasoning, specifically where visual figures and logic intersect.CharXiv Reasoning: In “figure understanding,” Muse Spark achieved a score of 86.4, significantly outperforming Claude Opus 4.6 (65.3), Gemini 3.1 Pro (80.2), and GPT-5.4 (82.8).MMMU Pro: Official reports place the model at 80.4, while Artificial Analysis’s independent audit measured it at 80.5%. This makes it the second-most capable vision model on the market, surpassed only by Gemini 3.1 Pro Preview (83.9% official; 82.4% independent).Visual Factuality (SimpleVQA): Muse Spark scored 71.3, placing it ahead of GPT-5.4 (61.1) and Grok 4.2 (57.4), though it narrowly trails Gemini 3.1 Pro (72.4).These scores validate Meta’s focus on “visual chain of thought,” enabling the model to not just recognize objects, but to reason through complex spatial problems and dynamic annotations.The “Thinking” gear of Muse Spark was put to the test against specialized benchmarks designed to break non-reasoning models.Humanity’s Last Exam (HLE): In this multidisciplinary evaluation, Meta reports a score of 42.8 (No Tools) and 50.4 (With Tools). Independent audits by Artificial Analysis tracked the model at 39.9%, trailing Gemini 3.1 Pro Preview (44.7%) and GPT-5.4 (41.6%).GPQA Diamond (PhD Level Reasoning): Muse Spark achieved a formidable 89.5, surpassing Grok 4.2 (88.5) but trailing the specialized “max reasoning” outputs of Opus 4.6 (92.7) and Gemini 3.1 Pro (94.3).ARC AGI 2: This remains a notable weak point. Muse Spark scored 42.5, far behind the abstract reasoning puzzles solved by Gemini 3.1 Pro (76.5) and GPT-5.4 (76.1).CritPT (Physics Research): Independent auditing found Muse Spark achieved the 5th highest score at 11%. This marks a substantial lead over Gemini 3 Flash (9%) and Claude 4.6 Sonnet (3%).One of the most striking results from the official data is Muse Spark’s performance in the health sector, likely a result of Meta’s collaboration with over 1,000 physicians.HealthBench Hard: Muse Spark achieved 42.8, a massive lead over Claude Opus 4.6 (14.8), Gemini 3.1 Pro (20.6), and even GPT-5.4 (40.1).MedXpertQA (Multimodal): It scored 78.4, comfortably ahead of Opus 4.6 (64.8) and Grok 4.2 (65.8), though it still trails Gemini 3.1 Pro’s top-tier score of 81.3.Agentic Systems and Efficiency: The “Thought Compression” EffectWhile Muse Spark excels at reasoning, its “agentic” performance—executing real-world work tasks—presents a more nuanced picture.SWE-Bench Verified: Muse Spark scored 77.4, trailing Claude Opus 4.6 (80.8) and Gemini 3.1 Pro (80.6).GDPval-AA Elo: Meta’s official score of 1444 differs slightly from Artificial Analysis’s recorded 1427. In both cases, Muse Spark trails GPT-5.4 (1672) and Opus 4.6 (1606), suggesting that while the model “thinks” well, it is still refining its ability to “act” in long-horizon software and office workflows.Token Efficiency: This is where Muse Spark distinguishes itself. To run the Intelligence Index, it used 58 million output tokens. In contrast, Claude Opus 4.6 required 157 million tokens and GPT-5.4 required 120 million. This supports Meta’s claim of “thought compression”—delivering frontier-class intelligence while using less than half the “thinking time” of its closest competitors.BenchmarkLlama 4 Maverick (2025)Muse Spark (Official)Gemini 3.1 Pro (Official)Intelligence Index Score185257MMMU Pro–80.483.9CharXiv Reasoning–86.480.2HealthBench Hard–42.820.6LicenseOpen-Weights ProprietaryProprietaryWith Muse Spark, Meta has successfully transitioned from being the “LAMP stack for AI” to a direct challenger for the title of “Personal Superintelligence”. While agentic workflows remain a hurdle, its dominance in vision, health, and token efficiency places Meta back at the center of the frontier race.Personal wellness and Instagram shopping Meta is immediately deploying Muse Spark to power specialized experiences across its app family.Shopping Mode: A new feature that leverages Meta’s vast creator ecosystem. The AI picks up on brands, styling choices, and content across Instagram and Threads to provide personalized recommendations, effectively turning every post into a shoppable interaction.Health Reasoning: In a move toward medical utility, Meta collaborated with over 1,000 physicians to curate training data. Muse Spark can now analyze nutritional content from photos of food or provide “health scores” for pescatarian diets with high cholesterol.Interactive UI: The model can generate web-based minigames or tutorials on the fly. For example, a user can prompt the AI to turn a photo into a playable Sudoku game or a highlights-based tutorial for home appliances.Evaluation awarenessWhile Muse Spark demonstrates strong refusal behaviors regarding biological and chemical weapons, its safety profile includes a startling new discovery. Third-party testing by Apollo Research found that the model possesses a high degree of “evaluation awareness”.The model frequently recognized when it was being tested in “alignment traps” and reasoned that it should behave honestly specifically because it was under evaluation. While Meta concluded this was not a “blocking concern” for release, the finding suggests that frontier models are becoming increasingly “conscious” of the testing environment—potentially rendering traditional safety benchmarks less reliable as models learn to “game” the exam.What happens to Llama?In February 2023, Meta released Llama 1 to demonstrate that smaller, compute-optimal models could match larger counterparts like GPT-3 in efficiency. Although access was initially restricted to researchers, the model weights were leaked via 4chan on March 3, 2023, an event that inadvertently democratized high-tier research and catalyzed a global movement for running models on consumer-grade hardware. This shift was solidified in July 2023 with the release of Llama 2, which introduced a commercial license that permitted self-hosting for most organizations. This approach saw rapid adoption, with the Llama family exceeding 100 million downloads and supporting over 1,000 commercial applications by the third quarter of 2023.Through 2024 and 2025, Meta scaled the Llama family to establish it as the essential infrastructure for global enterprise AI, frequently referred to as the LAMP stack for AI. Following the launch of Llama 3 in April 2024 and the landmark Llama 3.1 405B in July, Meta achieved performance parity with the world’s leading proprietary systems. The subsequent release of Llama 4 in April 2025 introduced a Mixture-of-Experts architecture, allowing for massive parameter scaling while maintaining fast inference speeds. By early 2026, the Llama ecosystem reached a staggering scale, totaling 1.2 billion downloads and averaging approximately one million downloads per day.This widespread adoption provided businesses with significant economic sovereignty, as self-hosting Llama models offered an 88% cost reduction compared to using proprietary API providers.As of April 2026, Meta’s role as the undisputed leader of the open-weight movement has transitioned into a highly contested multi-polar landscape characterized by the rise of international competitors. While the United States accounts for 35% of global Llama deployments, Chinese models from labs like Alibaba and DeepSeek began accounting for 41% of downloads on platforms like Hugging Face by late 2025. Throughout early 2026, new entrants such as Zhipu AI’s GLM-5 and Alibaba’s Qwen 3.6 Plus have outpaced Llama 4 Maverick on general knowledge and coding benchmarks. In response to this global pressure, Meta’s Muse Spark arrives with hefty expectations and an open source legacy that will be tough to live up to.Proprietary only (for now)The launch marks a controversial departure from Meta AI’s “open science” roots. While the Llama series was famously accessible to developers, Muse Spark is launching as a proprietary model. Wang addressed the shift on X, stating: “Nine months ago we rebuilt our ai stack from scratch. New infrastructure, new architecture, new data pipelines… This is step one. Bigger models are already in development with plans to open-source future versions.”However, the developer community remains skeptical. Some see this as a necessary pivot after the Llama 4 series failed to gain expected developer traction; others view it as Meta “closing the gates” now that it has a competitive reasoning model. Wang himself acknowledged the transition’s difficulty, noting there are “certainly rough edges we will polish over time”.For the 3 billion people using Meta’s apps, the change will be felt almost instantly. The AI they interact with is no longer just a library of information, but an agent with a $27 billion brain and a mandate to understand their world as intimately as they do.

As the driver of an electric vehicle, one clear thing dampens my enjoyment of my BMW i3. It’s not the lack of loud engine noises, or the fact that my car essentially operates in silence, it’s always being insecure about finding a place to charge.Florida, where I live, has charging stations owned by Florida Power & Light, the dominant electricity provider in the state, but they’re common in some areas (especially along the Florida Turnpike) but harder to find in many places.They’re also hit or miss when it comes to the actually being operational. Earlier this week, for example, at a state-owned rest stop, I plugged in to charge, then went inside to get a coffee and use the bathroom.When I returned, the charger had malfunctioned and my battery only gained a few miles.This isn’t a problem unique to me, or the place where I live. The real problem? Lack of convenient public charging. Nearly 40,000 public chargers were added in 2024, but EV advocate Tom Moloughney, host of the YouTube Show State of Charge, admits that “there’s not enough.””It’s also very regional — the coasts seem to have more charging infrastructure installed than the Midwest. There are regions of the country that are terribly underserved,” he said. Reliability is also a problem.Jonny Lieberman from the YouTube show Driving with Jonny said his local charging station in Southern California has “three cars charging 24 hours a day, with a line of three to 10 cars waiting.” That’s an experience I have shared on the opposite coast.Starbucks has made some efforts to add EV charging stations, but the size of its parking lots make that a challenge in many markets.Enter Walmart, which certainly has the real estate to solve the problem.Walmart has a massive footprintOne of the bigger challenges when it comes to EV chargers is that there’s no fully-updated app or service that reliably points you toward a charging station. A lot of apps exist, but there have been countless times I follow directions to a charging station to find that it’s not there, that it’s broken, or it’s only for Teslas.Very few retailers have real estate to solve the EV industry’s charging problem. Dollar General, for example, has over 20,000 U.S. locations, but most have relatively small parking lots and the chain’s audience does not really overlap heavily with people who own EVs.That second part might be a problem for Walmart as well, but the chain certainly could make it convenient for EV owners in need of a charge. “Approximately 90% of the U.S. population lives within 10 miles of a Walmart or Sam’s Club,” Walmart shared on its website. That would allow it to provide the mass level of charging that Tesla, and other EV makers need to make their vehicles truly viable.”The U.S. is expected to need roughly 1.2 million public EV chargers by 2030 — a massive increase from roughly 219,000 public charging ports available today,” according to The 2030 National Charging Network report from NREL.Walmart adds EV chargersWalmart has been quietly adding EV charging stations since 2023.”By 2030, we intend to build our own EV fast-charging network at thousands of Walmart and Sam’s Club locations coast-to-coast,” the chain shared in a press release.The company has stepped up those efforts.”Walmart, the largest retailer in the world, has increased the size of its electric vehicle charging network in the United States by 50% in just two months,” according to Inside EVs.The retailer has not shared a lot of details about its plans.More Retail:Walmart fires OpenAI in playbook-changing moveCostco CEO just gave members a new reason to renewBath & Body Works makes big change customers will notice right away”The initial development was quite slow. The first locations became operational in April of last year, and the multinational company reached 10 charging stations in November 2025. Three months later, the network size had doubled, reaching 20 stations in February, and now that number has gone up to 31,” the EV website added. Walmart installs 400-kilowatt chargers exclusively, either from Alpitronic or ABB, with each stall being fitted with an NACS cable and a CCS1 port. That means that the all widely-sold EVs, including Tesla models, can be charged there.

Charging anxiety is a reason some people don’t buy an EV.Shutterstock

Americans are wary of EVsThe current political climate has lessened Americans’ interest in EVs.”Despite the wide variety of electric vehicle (EV) models now available — over 75 options introduced in the past four years — AAA’s latest survey highlights buyers’ continued hesitation. Only 16% of U.S. adults report being “very likely” or “likely” to purchase a fully electric vehicle (EV) as their next car, the lowest percentage recorded of EV interest since 2019. The percentage of consumers indicating they would be “unlikely” or “very unlikely” to purchase an EV rose from 51% to 63%, the highest since 2022,” according to a AAA survey. The study showed why people are hesitant to buy an EV.High battery repair costs (62%) Purchase price (59%) Other top concerns identified in this year’s survey were the perceived unsuitability of EVs for long-distance travel (57%)A lack of convenient public charging stations (56%), and fear of running out of charge while driving (55%). Thirty-one percent of those undecided or unlikely to buy an EV have safety concerns.27 percent reported challenges installing charging stations at their residences.12% cited the potential reduction or elimination of tax credits and rebates.EVs, at least in the United States, face a murky future.”Despite advancements in the EV industry and the growing availability of models, public perception regarding the future of EVs remains uncertain. The percentage of U.S. drivers who believe that most cars will be electric within the next ten years has significantly declined from 40% in 2022 to 23% this year,” AAA reported. TheStreet’s retail advisor and RTMNexus CEO Dominick Miserandino think that Walmart is right to add EV chargers.”I literally just left a Walmart charging,” he said in a message to TheStreet. “To me, it’s a genius idea because the cost of implementing the chargers and even sometimes have free charges, creates a network of people who are stopping to not only fill up for 20 minutes, they have the opportunity to go shopping.”Related: Target quietly launches cult-favorite brand to lure back customers

“My husband has a pension, but I worry that if he passes before me, I could be left with nothing.”

Since the start of President Trump’s second term, nine of the 10 top days for the S&P 500 have been spurred by de-escalation either involving tariffs or Iran.

Morgan Stanley’s low-fee bitcoin ETF debuted with strong early trading, signaling demand as competition shifts to cost and distribution.