Generalist robot policies must operate across diverse tasks, embodiments, and environments, requiring scalable, repeatable simulation-based evaluation. Setting up large-scale policy evaluations is tedious and manual. Without a systematic approach, developers need to build high-overhead custom infrastructure, yet task libraries remain limited in complexity and diversity. This post introduces NVIDIA...
Generalist robot policies must operate across diverse tasks, embodiments, and environments, requiring scalable, repeatable simulation-based evaluation. Setting up large-scale policy evaluations is tedious and manual. Without a systematic approach, developers need to build high-overhead custom infrastructure, yet task libraries remain limited in complexity and diversity. This post introduces NVIDIA Isaac Lab-Arena, an open source framework for efficient and scalable robotic policy evaluation in simulation. Co-developed with Lightwheel as an extension to NVIDIA Isaac Lab, it provides streamlined APIs for task curation, diversification, and large-scale parallel evaluation. Developers can now prototype complex benchmarks without the overhead of system building. The post also presents an end-to-end sample workflow covering environment setup, optional policy post-training, and closed-loop evaluation. Overview and key benefits of Isaac Lab-Arena We are announcing the pre-alpha release of Isaac Lab-Arena and inviting the community to help shape its road map. We are also partnering with benchmark authors to implement and open source their evaluations on Isaac Lab-Arena, enabling a growing ecosystem of ready-to-use benchmarks and shared evaluation methods on a unified core. The key benefits of Isaac Lab-Arena include simplified task curation, automated diversification, large-scale benchmarking, seamless integration with data generation and training, and more, as detailed below. Simplified task curation (0 to 1) : Modular : Replaces monolithic task descriptions with a Lego-like architecture, compiling Isaac Lab environments on-the-fly from independent Object, Scene, Embodiment, and Task blocks. Generalizable : Standardized Interactions through an Affordance system (for example Openable, Pressable) enables tasks to scale across diverse objects. Extensible : Metrics and data recorded are extensible, providing users with fine-grained control over simulation and analytics if neede...
The dollar index (DXY00) fell from a 3-week high on Monday and finished down by -0.16%. The dollar retreated on Monday after the US Dec ISM manufacturing index unexpectedly contracted by the most in fourteen months. Also, Monday’s rally in stocks curbed liquidity demand for the dollar. The dollar on Monday initially moved higher as the escalation of geopolitical risks in Venezuela boosted safe-hav...
The dollar index (DXY00) fell from a 3-week high on Monday and finished down by -0.16%. The dollar retreated on Monday after the US Dec ISM manufacturing index unexpectedly contracted by the most in fourteen months. Also, Monday’s rally in stocks curbed liquidity demand for the dollar. The dollar on Monday initially moved higher as the escalation of geopolitical risks in Venezuela boosted safe-haven demand for the dollar after the US captured Venezuelan President Maduro, and US President Trump said the US plans to temporarily “run” Venezuela. Hawkish comments on Monday from Minneapolis Fed President Neel Kashkari were supportive of the dollar after he said, US interest rates may be “close to neutral” for the economy. Join 200K+ Subscribers: The US Dec ISM manufacturing index unexpectedly fell -0.3 to 47.9, weaker than expectations of an increase to 48.4 and the steepest pace of contraction in 14 months. On Saturday, Philadelphia Fed President Anna Paulson said, “I see inflation moderating, the labor market stabilizing, and growth coming in around 2% this year. If all that happens, then some modest further adjustments to the funds rate would likely be appropriate later in the year.” The markets are discounting the odds at 16% for a -25 bp rate cut at the FOMC’s next meeting on January 27-28. The dollar continues to see underlying weakness as the FOMC is expected to cut interest rates by about -50 bp in 2026, while the BOJ is expected to raise rates by another +25 bp in 2026, and the ECB is expected to leave rates unchanged in 2026. The dollar is also under pressure as the Fed boosts liquidity in the financial system, having begun purchasing $40 billion a month in T-bills in mid-December. The dollar is also being undercut by concerns that President Trump intends to appoint a dovish Fed Chair, which would be bearish for the dollar. Mr. Trump recently said that he will announce his selection for the new Fed Chair in early 2026. Bloomberg reported that National Economic ...
Key Points VNQ charges a higher expense ratio but pays a higher dividend yield than SCHH VNQ is much larger in assets, and both funds have similar sector exposures and top holdings Both ETFs saw similar negative 1-year returns and experienced steep five-year drawdowns These 10 stocks could mint the next wave of millionaires › Vanguard Real Estate ETF (VNQ) charges a higher fee, offers a larger ass...
Key Points VNQ charges a higher expense ratio but pays a higher dividend yield than SCHH VNQ is much larger in assets, and both funds have similar sector exposures and top holdings Both ETFs saw similar negative 1-year returns and experienced steep five-year drawdowns These 10 stocks could mint the next wave of millionaires › Vanguard Real Estate ETF (VNQ) charges a higher fee, offers a larger assets under management (AUM) base, and pays a higher yield, while Schwab U.S. REIT ETF (SCHH) is more affordable and has a slightly smaller drawdown. Both SCHH and VNQ provide broad exposure to U.S. real estate investment trusts (REITs), aiming to track the performance of publicly traded property companies. This comparison highlights key differences in cost, yield, risk, and portfolio makeup to help investors weigh each ETF’s appeal for diversified real estate exposure. Snapshot (cost & size) Metric SCHH VNQ Issuer Schwab Vanguard Expense ratio 0.07% 0.13% 1-yr return (as of 2025-12-12) -1.97% -1.15% Dividend yield 3.03% 3.86% Beta 1.16 1.20 AUM $8.48 billion $65.38 billion Beta measures price volatility relative to the S&P 500; beta is calculated from five-year weekly returns. The 1-yr return represents total return over the trailing 12 months. SCHH is the more affordable option with a lower expense ratio, while VNQ may appeal to income-focused investors thanks to its higher payout. Performance & risk comparison Metric SCHH VNQ Max drawdown (5 y) -33.30% -34.48% Growth of $1,000 over 5 years $1,118 $1,053 What's inside VNQ tracks a wide r of U.S. REITs with 158 holdings and over 21 years of history. Its portfolio is nearly all real estate, with small allocations to communication services and cash. The largest positions are Welltower (NYSE:WELL), Prologis (NYSE:PLD), and American Tower (NYSE:AMT), together making up more than 20% of assets. There are no leveraged, currency-hedged, or ESG overlays to be aware of. SCHH also focuses on U.S. real estate, holding 124 companies and...
00:00 Speaker A Zack Kass, former OpenAI go-to-market executive and author of the upcoming book, The Next Renaissance. 00:10 Speaker A And Zack, maybe start there. Listen, you're you're at CES, but one big tech theme you're excited about, natural language operating system. 00:23 Speaker A It sounds wonky, Zack. Maybe start there. Break it down for us, explain that tech simply and and and why you'r...
00:00 Speaker A Zack Kass, former OpenAI go-to-market executive and author of the upcoming book, The Next Renaissance. 00:10 Speaker A And Zack, maybe start there. Listen, you're you're at CES, but one big tech theme you're excited about, natural language operating system. 00:23 Speaker A It sounds wonky, Zack. Maybe start there. Break it down for us, explain that tech simply and and and why you're excited about that, Zack? 00:36 Zack Kass Well, first, thanks for having me. Uh the theory of natural language operating system basically proposes that there's something after autonomous agents that that at some point in the not too distant future, there's a relationship between hardware and software that allows the machines to feel far more um uh invisible. 00:58 Zack Kass And a natural language operating system is the is sort of this melding of ideas of ubiquitous compute and interfaces that don't require learning. 01:08 Zack Kass And critically, the what makes technology today sort of uh barbaric in in in some respect is that it is both demands our attention, right? We we consume technology and it consumes us in the process, and it requires a ton of learning. Most technologies, most good transformative technologies require a lot of updating. 01:31 Zack Kass And the future, I think is one in which the technologies actually work passively in large part because they work the way we work with each other and we don't have to be trained on them. 01:46 Speaker A And there at CES, Zach, do you expect to see some some examples this year of what you're talking about? 01:54 Zack Kass Well, we're already seeing it. So you know, it it my take doesn't actually seem that hot against the backdrop of everything that all the companies are sprinting at right now, which is not just embedding AI in it. That that of course is like the big story, but it's a little bit further than that, which is making the technology more invisible. 02:16 Zack Kass And you're actually seeing it across all ha...
In June, the White House released a budget proposal for fiscal year 2026 that slashed funding for NASA's science programs by nearly 50 percent. Then, in July , the Trump administration began telling the leaders of dozens of space science missions to prepare "closeout" plans for their spacecraft. Things looked pretty grim for a while, but then Congress stepped in. Congress, of course, sets the fede...
In June, the White House released a budget proposal for fiscal year 2026 that slashed funding for NASA's science programs by nearly 50 percent. Then, in July , the Trump administration began telling the leaders of dozens of space science missions to prepare "closeout" plans for their spacecraft. Things looked pretty grim for a while, but then Congress stepped in. Congress, of course, sets the federal government's budget. In many ways, Congress abdicated authority to the Trump administration last year. But not so, it turns out, with federal spending. Throughout the summer and fall, as the White House and Congress wrangled over various issues, lawmakers made it clear they intended to fund most of NASA's science portfolio. Preliminary efforts to shut down active missions were put on hold . Read full article Comments
Light Street Capital Management soared more than 37% last year, outperforming other stock-picking hedge funds, and making investors whole following steep losses in 2021 and 2022. Glen Kacher ’s tech-focused firm was far from the only stock picker to notch double-digit gains in a strong year for hedge funds that trade equities, according to people with knowledge of the matter. Maverick Capital adva...
Light Street Capital Management soared more than 37% last year, outperforming other stock-picking hedge funds, and making investors whole following steep losses in 2021 and 2022. Glen Kacher ’s tech-focused firm was far from the only stock picker to notch double-digit gains in a strong year for hedge funds that trade equities, according to people with knowledge of the matter. Maverick Capital advanced about 29%, Whale Rock Capital Management rallied 27% and Lone Pine Capital rose 23%. This marked the third-straight year of double-digit gains for Light Street, which manages $1.1 billion. Clients have also finally recouped all of their losses from 2021 and 2022, when the fund plunged 26% and 54%. Losses and redemptions in 2022 wiped out 70% of its assets . Stock traders like Light Street thrived this year, as geopolitical uncertainty, President Donald Trump ’s trade war and the artificial intelligence boom created ample opportunities for long and short bets. Such hedge funds had their best year since 2020, said Jon Caplis , founder of hedge fund research firm PivotalPath , who attributed the performance to “increasingly high exposure” to the S&P 500 Index. The S&P 500 returned about 18% last year, and the PivotalPath Equity Sector Index — which tracks performance of stock-picking hedge funds — returned roughly 22% through Nov. 30. Some equity traders posted smaller gains. Philippe Laffont ’s Coatue Management advanced about 14%, while David Einhorn ’s Greenlight Capital rose 9%, according to people familiar with the matter. Andreas Halvorsen ’s Viking Global Investors landed at the bottom of the pack, returning just 8.6%. While other so-called Tiger Cubs — alumni of Julian Robertson’s Tiger Management — often make big swings on AI or other high-flying tech bets, Halvorsen runs a portfolio with a more balanced exposure across a range of sectors. That means the fund misses out on tech rallies like the one last year but also fares better in years that burn rivals, such a...
Key Points According to an SEC filing, one URBN insider sold 18,666 shares for about $1.4 million over two days late last month. All shares disposed were held via trust entities, with no direct holdings affected in this transaction. The trade size is consistent with Hayne's typical cadence, reflecting ongoing disposition as available share capacity declines. These 10 stocks could mint the next wav...
Key Points According to an SEC filing, one URBN insider sold 18,666 shares for about $1.4 million over two days late last month. All shares disposed were held via trust entities, with no direct holdings affected in this transaction. The trade size is consistent with Hayne's typical cadence, reflecting ongoing disposition as available share capacity declines. These 10 stocks could mint the next wave of millionaires › On Dec. 29 and Dec. 30, Margaret Hayne, the Co-President & CCO of Urban Outfitters (NASDAQ:URBN), indirectly sold 18,666 shares of the apparel brand valued at approximately $1.4 million, according to an SEC Form 4 filing. Transaction Summary Metric Value Shares sold (indirect) 18,666 Shares traded (indirect) 18,666 Transaction value $1.4 million Post-transaction shares (direct) 1,176,273 Post-transaction shares (indirect) 22,840,756 Post-transaction value (direct ownership) $88.3 million The transaction value is based on the SEC Form 4 weighted average purchase price ($75.63); the post-transaction value is based on the Dec. 30 market close price ($75.63). Key Questions What proportion of Margaret Hayne's ownership was affected by this transaction? This sale represented less than 1% of Hayne's overall URBN ownership. This sale represented less than 1% of Hayne's overall URBN ownership. How does this sale compare to Hayne's recent trading activity? The 18,666-share sale is in line with close to a dozen other recent transactions conducted by Hayne since October 2025. The 18,666-share sale is in line with close to a dozen other recent transactions conducted by Hayne since October 2025. Were any of Hayne's directly held shares impacted? No direct shares were sold; all shares in this filing were disposed of through indirect ownership (trusts), as detailed in the Form 4 footnotes. Company Overview Metric Value Price (as of market close 12/30/25) $75.63 Market capitalization $6.76 billion Revenue (TTM) $6.00 billion Net income (TTM) $488.95 million Company Snaps...
Today, Jan. 5, 2026, energy giants and banks are steering Wall Street higher as traders frame Venezuela's turmoil as an investment opening. The S&P 500 (^GSPC +0.64%) rose 0.65% to 6,902.74, the Nasdaq Composite (^IXIC +0.69%) added 0.69% to 23,395.82, and the Dow Jones Industrial Average (^DJI +1.23%) climbed 1.23% to 48,977.17, with the Dow notching a record high on energy strength. Market mover...
Today, Jan. 5, 2026, energy giants and banks are steering Wall Street higher as traders frame Venezuela's turmoil as an investment opening. The S&P 500 (^GSPC +0.64%) rose 0.65% to 6,902.74, the Nasdaq Composite (^IXIC +0.69%) added 0.69% to 23,395.82, and the Dow Jones Industrial Average (^DJI +1.23%) climbed 1.23% to 48,977.17, with the Dow notching a record high on energy strength. Market movers Energy and bank shares led gains as oil majors including Chevron (CVX +5.00%), ConocoPhillips (COP +2.58%), and ExxonMobil (XOM +2.17%) rallied on hopes of expanded access to Venezuelan reserves, while mega-cap tech such as Amazon (AMZN +2.88%) advanced on renewed AI enthusiasm and upbeat analyst calls. What this means for investors The ousting of Venezuala's Nicolás Maduro didn't shake the markets today. Rather, it ignited a rally in energy stocks that could be involved in expanding that country's oil industry. Oil majors and financial stocks topped the leaderboard, driving the Dow Jones index to a record high. The widely-followed index crossed the 49,000 mark for the first time during intra-day trading. Big tech stocks, including many artificial intelligence (AI) names, also performed well after Nvidia (NVDA 0.39%) and Apple (AAPL 1.43%) supplier Foxconn (HNHPF +1.98%) reported a 22% surge in Q4 revenues from continued strong AI infrastructure spending. Investors are also watching the Las Vegas CES tech conference closely, with Nvidia CEO Jensen Huang set to give a special AI presentation speech there this evening. Any updates from Huang on new products or the status of sales to China will be closely monitored.
In a display of market resilience that has become a hallmark of the electric vehicle pioneer, Tesla Inc. (NASDAQ: TSLA) saw its shares climb over 4% on Monday, January 5, 2026. This rally comes despite the company reporting a significant year-over-year decline in vehicle deliveries for the fourth quarter of 2025. Investors appear to be looking past the softening demand in the automotive sector, in...
In a display of market resilience that has become a hallmark of the electric vehicle pioneer, Tesla Inc. (NASDAQ: TSLA) saw its shares climb over 4% on Monday, January 5, 2026. This rally comes despite the company reporting a significant year-over-year decline in vehicle deliveries for the fourth quarter of 2025. Investors appear to be looking past the softening demand in the automotive sector, instead focusing on the company’s burgeoning energy storage business and a broader market rotation triggered by major geopolitical developments over the weekend. The trading session was characterized by extreme volatility across the indices, as the Dow Jones Industrial Average (INDEXDJX: .DJI) hit a record high. While the automotive core of Tesla’s business faces its toughest competitive landscape to date—officially losing its crown as the world’s top EV seller to BYD—the market’s appetite for Tesla’s AI-driven future and its role as an energy infrastructure giant provided a robust cushion. Today’s movement suggests a "great recalibration" where Tesla is increasingly valued as a diversified technology and energy play rather than a traditional car manufacturer. A Tale of Two Segments: Delivery Misses vs. Energy Records The primary catalyst for the week’s opening volatility was Tesla’s Q4 2025 delivery report, which revealed the company handed over 418,227 vehicles in the final three months of the year. This represented a 16% decline compared to the same period in 2024 and fell short of Wall Street’s consensus of 426,000 units. For the full year 2025, Tesla delivered 1.64 million vehicles, marking its second consecutive annual decline. This downturn was exacerbated by the expiration of the U.S. federal $7,500 EV tax credit in September 2025, which pulled forward demand into the third quarter and left a vacuum in the year-end results. However, the narrative shifted as analysts digested the performance of Tesla’s Energy Generation and Storage segment. The company deployed a recor...
NVIDIA is introducing the NVIDIA Jetson T4000, bringing high-performance AI and real-time reasoning to a wider range of robotics and edge AI applications. Optimized for tighter power and thermal envelopes, T4000 delivers up to 1200 FP4 TFLOPs of AI compute and 64 GB of memory, providing an ideal balance of performance, efficiency, and scalability. With its energy-efficient design and production-re...
NVIDIA is introducing the NVIDIA Jetson T4000, bringing high-performance AI and real-time reasoning to a wider range of robotics and edge AI applications. Optimized for tighter power and thermal envelopes, T4000 delivers up to 1200 FP4 TFLOPs of AI compute and 64 GB of memory, providing an ideal balance of performance, efficiency, and scalability. With its energy-efficient design and production-ready form factor, T4000 makes advanced AI accessible for the next generation of intelligent machines, from autonomous robots to smart infrastructure and industrial automation. The module includes 1× NVENC and 1× NVDEC hardware video codec engines, enabling real-time 4K video encoding and decoding. This balanced design is built for platforms that combine advanced vision processing and I/O capabilities with power and thermal efficiency. Features NVIDIA Jetson T4000 NVIDIA Jetson T5000 AI performance 1,200 FP4 Sparse TFLOPs 2,070 FP4 Sparse TFLOPs GPU 1,536-core NVIDIA Blackwell architecture GPU with fifth-generation Tensor cores Multi-Instance GPU with 6 TPCs 2,650-core NVIDIA Blackwell architecture GPU with fifth-generation Tensor cores Multi-Instance GPU with 10 TPCs Memory 64 GB 256-bit LPDDR5x | 273 GBps 128 GB 256-bit LPDDR5x | 273 GBps CPU 12-core Arm Neoverse-V3AE 64-bit CPU 14-core Arm Neoverse-V3AE 64-bit CPU Video encode 1x NVENC 2x NVENC Video decode 1x NVDEC 2x NVDEC Networking 3x 25GbE 4x 25GbE I/Os Up to 8 lanes of PCIe Gen55x I2S | 1x Audio Hub (AHUB) | 2X DMIs | 4x UART | 3x SPI | 13x I2C | 6x PWM outputs. Up to 8 lanes of PCIe Gen55x I2S/2x Audio Hub (AHUB), 2x DMIs, 4x UART, 4x CAN, 3x SPI, 13x I2C, 6x PWM outputs Power 40W-70W 40W-130W Table 1. Key specifications of the Jetson T4000 module and the NVIDIA Jetson T5000 module The Jetson T4000 module shares the same form factor and pin compatibility with the NVIDIA Jetson T5000 module. Developers can design common carrier boards for both T4000 and T5000, while accounting for differences in thermal and other inh...
This year at CES 2026, MSI proudly unveils a new generation of PC hardware designed to inspire industry professionals and enthusiasts with innovative solutions that make building, upgrading, and personalizing systems more accessible and exciting than ever before. From a new line-up of motherboards, brand new Power Supplies with exclusive features, a flagship triple-sided panoramic chassis paired w...
This year at CES 2026, MSI proudly unveils a new generation of PC hardware designed to inspire industry professionals and enthusiasts with innovative solutions that make building, upgrading, and personalizing systems more accessible and exciting than ever before. From a new line-up of motherboards, brand new Power Supplies with exclusive features, a flagship triple-sided panoramic chassis paired with a curved OLED display liquid cooler, and two Dual-Tower Air Coolers making their debut, MSI aims to showcase its commitment to pushing boundaries. Let's take a quick look below at what you'll find at MSI's CES 2026 show floor.MSI will showcase its latest AMD MAX series motherboards at CES, spanning X870(E) and B850 chipsets to cover a wide range of performance needs. Each MAX model features an integrated OC Engine that enables asynchronous BCLK control for precise frequency tuning, delivering up to 15% higher gaming performance in supported scenarios. Building on MSI's EZ DIY approach, the onboard Direct OC Jumper allows real-time BCLK adjustments directly in the operating system, and the new BCLK Booster adds a simple one-click option for quick overclocking. To support a more feature complete BIOS experience, all MAX motherboards also include an upgraded 64 MB BIOS chip, expanding ROM capacity for current and future AMD processors.The MEG X870E UNIFY-X MAX is purpose-built for extreme overclocking, combining MSI's OC Engine with a dedicated 2-DIMM layout to deliver record-class CPU and DDR5 memory performance. Visually, it features a sleek black-and-silver heatsink design highlighted by an "X" motif that reinforces its performance first identity. Behind the styling, the oversized thermal solution pairs a Direct Touch Cross Heat-pipe, 9 W/mK thermal pads, and a double-sided EZ M.2 Shield Frozr II to keep temperatures under control during heavy loads.Exclusive to the UNIFY-X Series, the Tuning Controller adds quick, hands-on control—letting users adjust OC parameters, cl...
Building an agent is more than just “call an API”—it requires stitching together retrieval, speech, safety, and reasoning components so they behave like one cohesive system. Each layer has its own interface, latency constraints, and integration challenges, and you start to feel them as soon as you move beyond a simple prototype. In this tutorial, you’ll learn how to build a voice-powered RAG agent...
Building an agent is more than just “call an API”—it requires stitching together retrieval, speech, safety, and reasoning components so they behave like one cohesive system. Each layer has its own interface, latency constraints, and integration challenges, and you start to feel them as soon as you move beyond a simple prototype. In this tutorial, you’ll learn how to build a voice-powered RAG agent with guardrails using the latest NVIDIA Nemotron models released at CES 2026 for speech, RAG, safety, and reasoning. By the end, you’ll have an agent that: Listens to spoken input Uses multimodal RAG to ground itself in your data Reasons over long context Applies guardrails before responding Returns a safe answer as audio You can start on your local GPU for development, then deploy the same code on a scalable NVIDIA environment—whether that’s a managed GPU service, an on‑demand cloud workspace, or a production‑ready API runtime—without changing your workflow. Video 1. Full end‑to‑end demo, from live voice input to a grounded, safety-checked response, and how to deploy the agent in one workflow. Prerequisites Before you begin this tutorial, you’ll need: NVIDIA API Key for cloud-hosted reasoning models (get one free) Local deployment requires: ~20GB of disk space NVIDIA GPU with at least 24GB of VRAM Operating system with Bash (Ubuntu, macOS, or Windows Subsystem for Linux) Python 3.10+ environment One hour of free time What you’ll build Figure 1. End‑to‑end workflow of a voice agent with RAG and safety guardrails. Component Model Purpose ASR nemotron-speech-streaming-en-0.6b Ultra-low latency voice input Embedding llama-nemotron-embed-vl-1b-v2 Semantic search over text and images Reranking llama-nemotron-rerank-vl-1b-v2 Sharpen retrieval accuracy by 6-7% Safety llama-3.1-nemotron-safety-guard-8b-v3 Multilingual content moderation Vision-Language nemotron-nano-12b-v2-vl Describe images in context Reasoning nemotron-3-nano-30b-a3b High-efficiency reasoning with 1M tokens Tabl...
Navan (NVDA) has drawn fresh investor attention after recent trading left the stock at US$16.25, with a 1 day return of negative 4.86% and a month move of 16.15%. See our latest analysis for Navan. That 4.86% one day share price decline comes after a strong 16.15% 30 day share price return, which leaves Navan roughly flat on a year to date basis and suggests momentum has cooled recently after a sh...
Navan (NVDA) has drawn fresh investor attention after recent trading left the stock at US$16.25, with a 1 day return of negative 4.86% and a month move of 16.15%. See our latest analysis for Navan. That 4.86% one day share price decline comes after a strong 16.15% 30 day share price return, which leaves Navan roughly flat on a year to date basis and suggests momentum has cooled recently after a sharp short term move. If Navan has you thinking about travel and expense platforms more broadly, this could be a good moment to widen your search with fast growing stocks with high insider ownership. With the shares at US$16.25, analysts see scope up to about US$25, while Navan is still loss making and carries a low value score of 1. Is this a genuine opportunity, or is future growth already priced in? Price to Sales of 6.2x: Is It Justified? On a P/S of 6.2x at US$16.25 per share, Navan screens as expensive compared with both peers and the wider US Hospitality industry. The P/S ratio compares the company’s market value to its revenue, which matters here because Navan is still loss making and investors are effectively paying for sales and anticipated future profitability rather than current earnings. At 6.2x sales, investors are paying almost three times the peer average P/S of 2.2x and more than three times the US Hospitality industry average of 1.7x. This represents a clear premium that implies the market is already assigning a higher value to Navan’s growth profile than to many competitors. See what the numbers say about this price — find out in our valuation breakdown. Result: Price-to-Sales of 6.2x (OVERVALUED) DCF Fair Value Estimate: What Does US$11.09 Signal? Our DCF model points to a fair value of about US$11.09 per share, compared with Navan’s last close at US$16.25, suggesting the shares trade above this estimate. The SWS DCF model projects future cash flows and discounts them back to today, aiming to capture the present value of those expected cash flows rather t...
Navan (NVDA) has drawn fresh investor attention after recent trading left the stock at US$16.25, with a 1 day return of negative 4.86% and a month move of 16.15%. See our latest analysis for Navan. That 4.86% one day share price decline comes after a strong 16.15% 30 day share price return, which leaves Navan roughly flat on a year to date basis and suggests momentum has cooled recently after a sh...
Navan (NVDA) has drawn fresh investor attention after recent trading left the stock at US$16.25, with a 1 day return of negative 4.86% and a month move of 16.15%. See our latest analysis for Navan. That 4.86% one day share price decline comes after a strong 16.15% 30 day share price return, which leaves Navan roughly flat on a year to date basis and suggests momentum has cooled recently after a sharp short term move. If Navan has you thinking about travel and expense platforms more broadly, this could be a good moment to widen your search with fast growing stocks with high insider ownership. With the shares at US$16.25, analysts see scope up to about US$25, while Navan is still loss making and carries a low value score of 1. Is this a genuine opportunity, or is future growth already priced in? Price to Sales of 6.2x: Is It Justified? On a P/S of 6.2x at US$16.25 per share, Navan screens as expensive compared with both peers and the wider US Hospitality industry. The P/S ratio compares the company’s market value to its revenue, which matters here because Navan is still loss making and investors are effectively paying for sales and anticipated future profitability rather than current earnings. At 6.2x sales, investors are paying almost three times the peer average P/S of 2.2x and more than three times the US Hospitality industry average of 1.7x. This represents a clear premium that implies the market is already assigning a higher value to Navan’s growth profile than to many competitors. See what the numbers say about this price — find out in our valuation breakdown. Result: Price-to-Sales of 6.2x (OVERVALUED) DCF Fair Value Estimate: What Does US$11.09 Signal? Our DCF model points to a fair value of about US$11.09 per share, compared with Navan’s last close at US$16.25, suggesting the shares trade above this estimate. The SWS DCF model projects future cash flows and discounts them back to today, aiming to capture the present value of those expected cash flows rather t...
With equities dominating the portfolio, this quiet bond allocation says more about risk control than return chasing. Illinois-based LaSalle St. Investment Advisors established a new position in the iShares 0-5 Year Investment Grade Corporate Bond ETF (SLQD +0.08%), adding 135,360 shares valued at approximately $6.88 million during the third quarter, according to a November 13 SEC filing. What Happ...
With equities dominating the portfolio, this quiet bond allocation says more about risk control than return chasing. Illinois-based LaSalle St. Investment Advisors established a new position in the iShares 0-5 Year Investment Grade Corporate Bond ETF (SLQD +0.08%), adding 135,360 shares valued at approximately $6.88 million during the third quarter, according to a November 13 SEC filing. What Happened According to a filing with the Securities and Exchange Commission dated November 13, LaSalle St. Investment Advisors reported a new investment in the iShares 0-5 Year Investment Grade Corporate Bond ETF (SLQD +0.08%). The firm disclosed ownership of 135,360 shares, reflecting an estimated $6.88 million position as of September 30. What Else to Know The new position accounts for 1.23% of the fund’s reportable assets under management. Top holdings after the filing: NYSEMKT:VTI: $78.15 million (14.0% of AUM) NASDAQ:SHV: $33.35 million (6.0% of AUM) NASDAQ:NVDA: $19.68 million (3.5% of AUM) NYSEMKT:VUG: $19.55 million (3.5% of AUM) NYSEMKT:VTV: $17.25 million (3.1% of AUM) As of Monday, SLQD shares were priced at $50.75, up 2% over the past year. ETF Overview Metric Value AUM $2.36 billion Yield 4.1% Price (as of Monday) $50.75 1-Year Total Return 5% ETF Snapshot SLQD's investment strategy focuses on tracking a market-weighted index of U.S. dollar-denominated, investment-grade corporate bonds with maturities between 0 and 5 years. The portfolio primarily consists of short-term, high-quality corporate debt securities, offering broad exposure to investment-grade issuers across multiple sectors. It's structured as an exchange-traded fund, with SLQD providing access to the short-term corporate bond market. The iShares 0-5 Year Investment Grade Corporate Bond ETF (SLQD) offers institutional investors targeted exposure to short-duration, investment-grade U.S. corporate bonds. Foolish Take In a portfolio still anchored by broad equity exposure and growth names like Nvidia, this a...
00:01 Speaker A Today we're announcing Alpha Mayo, the world's first thinking, reasoning autonomous vehicle AI. 00:09 Speaker A Alpha Mayo is trained end to end, literally from camera in to actuation out. 00:15 Speaker A The camera in lots and lots of miles that are driven by itself. 00:22 Speaker A we're we human drive it, driven using human demonstration. 00:27 Speaker A And we have lots and lot...
00:01 Speaker A Today we're announcing Alpha Mayo, the world's first thinking, reasoning autonomous vehicle AI. 00:09 Speaker A Alpha Mayo is trained end to end, literally from camera in to actuation out. 00:15 Speaker A The camera in lots and lots of miles that are driven by itself. 00:22 Speaker A we're we human drive it, driven using human demonstration. 00:27 Speaker A And we have lots and lots of miles that are generated by cosmos. 00:32 Speaker A In addition to that, hundreds of thousands of examples are labeled very, very carefully so that we could teach the car how to drive. 00:43 Speaker A Alpha Mayo does something that's really special. 00:46 Speaker A Not only does it take sensor input and activates steering wheel, brakes and and acceleration, it also reasons about what action it is about to take. 01:00 Speaker A It tells you what action it's going to take, the reasons by which it came about that action, and then of course, the trajectory. 01:07 Speaker A All of these are coupled directly and trained very specifically by a large combination of human trained and as well as cosmos generated data. 01:21 Speaker A The result of it is just really incredible. 01:23 Speaker A Not only does your car drive as you would expect it to drive, and it drives so naturally because it learned directly from human demonstrators. 01:31 Speaker A But in every single scenario, when it comes up to the scenario, it reasons about, it tells you what it's going to do and it reasons about what you what's about to do. 01:36 Speaker A Now, the reason why this is so important is because of the long tail of driving. 01:41 Speaker A There it's impossible for us to simply collect every single possible scenario for everything that could ever happen in every single country, in every single circumstance that's possibly ever going to happen for all of population. 01:58 Speaker A However, it is very unlikely, it's very likely that every scenario, if decomposed into a whole bunch of other smalle...