Search
News
Important Only
Geely Closing In: Is BYD's Crown Secure? ---
$GEELY AUTO(00175.HK) released its Q4 2025 report at Hong Kong midday on Mar 18, 2026 (HKT). Here are the key takeaways.1. Revenue slightly beat: Q4 revenue reached RMB 105.7bn (+22% YoY), marginally above the Street's RMB 104.3bn. The beat was driven by a richer mix and higher ASP as the premiumiza...Dolphin Research
Wed, Mar 18
2 Defense Stocks Set to Rise if the Iran War Drags On
Key PointsThe war in Iran is having a direct impact on key industries -- namely, the oil markets.Obvious beneficiaries during times of geopolitical tensions include manufacturers of aircraft, drones, and rockets.Growth investors may want to double down on data analytics and cybersecurity stocks shou...The Motley Fool
Wed, Mar 18
Higher Yield or Consistent Dividend Growth? VIG vs. FDVV
Key PointsFDVV offers a higher dividend yield and a more concentrated portfolio than VIGVIG charges a lower expense ratio and has over 13 times more assets under managementBoth ETFs have similar sector tilts, but FDVV puts slightly more weight on consumer cyclicals10 stocks we like better than Fidel...The Motley Fool
Wed, Mar 18
1 Top Dividend Stock to Buy With Double-Digit Dividend and Earnings Growth
Key PointsAmerican Express has seen impressive bottom and top-line momentum recently, and management guided for more of the same in 2026.Recently raised its dividend by 16%.A recent refresh to its Platinum Card could provide a catalyst for the company in 2026.10 stocks we like better than American E...The Motley Fool
Wed, Mar 18
Australia's DUG Technology rises as US unit settles legal dispute
DUG Technology DUG.AX rises as much as 5% to A$2.12, highest since March 2Co's unit DUG US enters settlement agreement to resolve all claims with supplier relating to disputed invoice received under energy management services agreementUnit to pay $1.5 mln as full-and-final settlement to supplier...Reuters
Wed, Mar 18
Xunce Technology 3317.HK: Why is Vertical Data the Token 'Efficiency Booster' in the AI Inference Era?
Recently, while NVIDIA's GTC 2026 conference mapped out the "Trillion Token Factory" blueprint, a deeper question is fermenting: When the whole world is busy producing Tokens, who guarantees these Tokens burn worthily?Jensen Huang released a key signal: in the deep-water area where AI moves from training to inference, the golden mineral of data centers is shifting from traditional databases processing structured data to AI engines processing unstructured data. Pure computing power stacking is giving way to "data refining" to become effective Tokens.Xunce Technology, this company deeply cultivating real-time data infrastructure construction and analysis for many years, is redefining the input-output ratio of Token investment in the AI era through vertical industry data as "Token efficiency boosters."From "Training" to "Inference": The Game Rules Have ChangedThe evolution of AI has entered a new stage. In the previous two years, everyone competed on training—whoever had more GPUs could refine larger models. But today, the protagonist has become inference. NVIDIA CEO Jensen Huang repeatedly emphasized in his GTC speech that future AI must be able to "infer"—able to reflect, able to think, able to plan.This means AI is no longer just generating content based on prompts, but must, like humans, deconstruct problems, deduce paths, and make decisions.But the problem follows: in the inference stage, AI's consumption of Tokens rises exponentially, but the requirement for result quality no longer depends on Tokens themselves, but on effective Tokens.The "Brute Force Dilemma" of General AI: Trading Computing Power for PrecisionCurrent general-purpose AI, when improving inference precision, universally adopts the strategy of trading computing power for precision—popularly speaking, using brute force to "gamble" on results.Typical inference large models, in order to select the optimal solution from multiple possibilities, often pre-generate several candidate options, then score them one by one, finally picking the one with the highest score as the answer. This mechanism sounds rigorous, but the cost is: every step of inference must take several more "detours."The bigger problem is that inference itself carries the risk of failure. Once the inference chain breaks midway, or the finally selected answer is judged unqualified, the massive amount of Tokens invested earlier will be voided—no reusable value, or "residual value" that can be recovered.This is a common challenge of general AI frameworks: When facing complex tasks, Token consumption rises linearly, while effects often hover in a downward channel.The Solution of Vertical AI: Installing an "External Brain" for Large Models with DataThe answer Xunce gives is to do "subtraction."The core of vertical AI solutions is using industry data to provide an "external brain" for large models. The function of this external brain is to use business models to optimize inference paths, helping large models in advance judge which paths are passable and which are dead ends.This mechanism is called "workflow model guided inference." Its operating logic is: before Tokens begin large-scale consumption, first have vertical industry business models do a round of "feasibility pre-judgment" based on many years of accumulated high-quality, high-net-worth, scenario-based vertical industry data. Xunce is equivalent to drawing an "avoid-pit map" for large models.The value of this map lies in: It makes AI take fewer detours, or even no detours. When general AI still relies on "trial and error" to approach correct answers, Xunce's users have already directly stood on the cornerstone of high-purity data, using less Token consumption to exchange for higher-precision business results.The Business Logic of "Efficiency Booster": Token Unit Price Determined by Market, Token "Effectiveness" Determined by DataToken unit price is determined by chip computing power costs and market supply-demand relationships—this point no company can control. But Token "effectiveness"—that is, the business value each unit of Token can produce—can be determined by data quality.This is precisely the core logic of the "Token efficiency booster": It is not a "producer" of Tokens, but an "amplifier" of Token value. Under the same computing power costs, high-quality data can make every Token burn more worthily; under the same Token budget, high-purity data can let users obtain higher output certainty.This means a tangible financial model change: computing power costs are becoming increasingly transparent, buying computing power is like buying electricity—prices converge, no differentiation to compete on. But data is different—data has memory, has scenarios, has compound interest effects. Data used today can still be used tomorrow; business logic precipitated today can make models smarter tomorrow.From "Measurement" to "Efficiency Boosting": The Compound Interest of Vertical Data is Being ReleasedXunce has long insisted on deep cultivation in professional Vertical Data modeling and development fields, with its R&D results embodied in technical platforms at different stages. And the popularization of generative AI technology is accelerating the release of these accumulated values.AI computing power optimization by Token flow metering is one of the important application scenarios for professional Vertical Data services. As the ecosystem evolves, Tokens will also achieve cross-application, cross-scenario universality—consumable for both computing power scheduling and optimizing vertical models and high-frequency data calls.The better users' effects in training vertical models, the less Tokens consumed, the more precise business results produced, the deeper their dependence on Xunce, and the higher the switching costs. This is not only an upgrade of the business model, but also a competitive barrier based on data compound interest.ConclusionNVIDIA used "Token Factory" to define the future of AI computing power, while Xunce Technology is using "Token efficiency booster" to redefine the value of AI data.When computing power converges and models open-source, what truly determines AI business returns will no longer be the "output volume" of computing power stacking, but the "output volume" of data refining. In the tide of the Token economy, there are many companies that can help users "save money," but the company that can make users "get more value for every penny spent" is the ultimate winner.And this, perhaps, is exactly what the capital market expects from Xunce Technology's "growth certainty."18/03/2026 Dissemination of a Financial Press Release, transmitted by EQS News.The issuer is solely responsible for the content of this announcement.Media archive at www.todayir.comEQS
Wed, Mar 18
New Zealand to Tighten Immigration Rules Amid Crime Concerns
New Zealand’s government will introduce legislation on March 18 to tighten deportation, asylum and immigration enforcement rules, saying the changes are needed to tackle serious offending, migrant exploitation and bad-faith claims.Immigration Minister Erica Stanford said the changes would give the a...Tiger News
Wed, Mar 18
Why in the World Is Carvana Buying Brick-and-Mortar Dealerships?!
Key PointsCarvana's sales model is evolving as it scooped up its sixth Stellantis dealership recently.Owning dealerships could add to Carvana's competitive advantages.Dealerships can open the doors to new inventory and higher-margin service business.10 stocks we like better than Carvana › Carvana (N...The Motley Fool
Wed, Mar 18
METALS-Aluminium drops as supply fears cool with the Middle East exporter finds a new route
March 18 (Reuters) - Aluminium fell on Wednesday as supply fears cooled with Emirates Global Aluminium finding alternative ways to export after the U.S.-Israeli war on Iran shut the Strait of Hormuz.The most-active aluminium contract SAFcv1 on the Shanghai Futures Exchange pulled back 1.02% to 24,79...Reuters
Wed, Mar 18
GLOBAL MARKETS-Asian stocks rally as oil retreats, Fed in spotlight
Brent crude futures fall 1% to $102.28 a barrelJapan's Nikkei up 2%, Wall St futures edge upFed dot plot may suggest if 1 cut this year remainsBy Stella Qiu SYDNEY, March 18 (Reuters) - Asian shares rallied on Wednesday as oil prices paused their gains, with markets turning to the U.S. Federa...Reuters
Wed, Mar 18
Nvidia Just Reported $68 Billion in Revenue. Here's Why It Matters.
Key PointsNvidia's $68 billion in quarterly revenue represented 73% year-over-year growth.Oracle's latest update eased concerns over a slowdown in AI spending.That bodes well for Nvidia and its stock valuation.10 stocks we like better than Nvidia › The market let out a collective sigh of relief when...The Motley Fool
Wed, Mar 18
Nikkei jumps nearly 2% as AI, chip stocks rally
By Junko Fujita TOKYO, March 18 (Reuters) - Japan's Nikkei share average climbed nearly 2% on Wednesday, led by chip and artificial intelligence-related stocks, as concerns over the economic impact of surging oil prices subsided. The Nikkei .N225 was up 1.91% at 54,726.58, as of 0140 GMT, whi...Reuters
Wed, Mar 18
Small-Cap Exposure at Lower Cost or Greater Liquidity? SPSM vs. IJR
Key PointsIJR commands a much larger asset base than SPSMBoth ETFs offer similar sector exposures and nearly identical risk profilesSPSM charges a lower expense ratio and has a marginally higher dividend yield10 stocks we like better than iShares Core S&P Small-Cap ETF › State Street SPDR Portfolio ...The Motley Fool
Wed, Mar 18
If the Strait of Hormuz Reopens, This ETF Could Soar
Key PointsOil prices have soared as a result of the war in Iran.Countries like Japan and South Korea are highly dependent on oil and gas coming through the Strait of Hormuz.South Korean stocks have soared recently in part due to the AI boom. 10 stocks we like better than iShares - iShares Msci South...The Motley Fool
Wed, Mar 18
24H｜Storage Stocks Jump, SanDisk and Micron up 2%; Lululemon, Oklo down 2%; Rocket Lab down 4%
Chip storage stocks jumped in overnight trading.SanDisk, Micron up 2%; Seagate, Western Digital up 1%.Lululemon Athletica stock fell 2% in overnight trading.Lululemon forecast 2026 revenue and profit below analysts' estimates on Tuesday and appointed a former chief of jeans maker Levi Strauss to t...Tiger News
Wed, Mar 18
2 Monster Stocks to Hold for the Next 10 Years
Key PointsNextEra Energy anticipates a CAGR of 8% or more for the next six years.GE Vernova's orders grew to $59.3 billion in 2025.Both stocks offer a rising dividend and growth potential over the next decade.10 stocks we like better than NextEra Energy › The energy sector is surging and will likely...The Motley Fool
Wed, Mar 18
READYSTATE Dumps 361,000 Workiva Shares Worth $32 Million
Key PointsSold 361,224 shares of Workiva; estimated transaction value of $31.98 million based on quarterly average pricing.Quarter-end Workiva position value declined by $31.09 million, reflecting both share sales and price movement.Workiva trade equaled 1.3% of fund’s reportable U.S. equity assets ...The Motley Fool
Wed, Mar 18
