MSCI Incorporated (NYSE:MSCI) is one of the 12 oversold financial stocks to invest in according to hedge funds. On January 29, Jason Haas from Wells Fargo reaffirmed his Equal Weight rating on MSCI Incorporated (NYSE:MSCI). The analyst also raised the price target from $590 to $618, which indicates an upside of almost 18%. Copyright: convisum / 123RF Stock Photo Haas noted the company’s promising fourth quarter results, with EPS exceeding expectations. The company’s outlook for 2026 EBITDA expenses is ...

Manhattan Associates, Inc. (NASDAQ:MANH) is among the best money-making stocks to buy right now. On January 28, Raymond James reduced the price target on Manhattan Associates, Inc. (NASDAQ:MANH) to $230 from $240 and maintained an Outperform rating. This downward adjustment in price target came after the company’s Q4 2025 results, which the firm believes demonstrated “impressive bookings momentum and execution” under the leadership of CEO Eric Clark. In its analysis, Raymond James noted the company’s rec ...

Autodesk, Inc. (NASDAQ:ADSK) is among the best money-making stocks to buy right now. On February 10, Nay Soe Naing from Berenberg Bank reiterated a Buy rating on Autodesk, Inc. (NASDAQ:ADSK), while setting a price target of $370. This suggests an upside potential of approximately 60%. Earlier, on February 2, JPMorgan upgraded Autodesk, Inc. (NASDAQ:ADSK) to Overweight from Neutral. Its price target of $319 implies 37.96% upside. The firm attributed this to the company’s positioning in design and Building ...

Commvault Systems, Inc. (NASDAQ:CVLT) is among the best money-making stocks to buy right now. As reported by Investing.com on February 11, Commvault Systems, Inc. (NASDAQ:CVLT) has been named in Piper Sandler’s rankings of top performers in the digital infrastructure and connectivity software sector. Securing the fifth spot, the company showcases strength with its Commvault Cloud offering and has nearly completed its term-subscription model transition. Earlier on January 28, RBC Capital trimmed its price ...

Super Group (SGHC) Limited (NYSE:SGHC) is among the best money-making stocks to buy right now. On February 12, TheFly reported that Spruce Point Capital Management published a report titled “A Super Simple Short Thesis”, which highlights why the firm forecasts Super Group (SGHC) Limited (NYSE:SGHC)’s shares to face a potential long-term downside of 20% to 50%. This indicates a substantial risk of performing poorly compared to the market. Previously, on January 22, Benchmark reaffirmed its Buy rating and ...

Market Overview - Equity benchmarks, including the Sensex and Nifty, reversed early gains to trade in the red despite positive global cues, influenced by selective profit booking [1] - The BSE Sensex opened at 83,969.82 but fell to 83,606.97, down ₹127.28 or 0.15% [2] - The NSE Nifty 50 opened at 25,873.35 and slipped to 25,783.45, shedding 35.90 points or 0.14% [2] Global Influences - The pullback occurred despite firm global cues, with the Nasdaq rising 1.07% overnight, partly due to a strategic partnership between Nvidia and Meta [3] - Asian equities rose, supported by Wall Street's technology gains, while crude oil surged to $64 amid reports of U.S. military mobilization towards potential operations in Iran [3] Sector Performance - Among the top gainers on the Nifty 50, ONGC led with a gain of 1.76% at ₹269.25, followed by Infosys at ₹1,391.70, up 1.31% [5] - The IT sector showed recovery with HCL Technologies gaining 1.20% to ₹1,484.80 and TCS adding 1.08% to ₹2,724.00, contrasting with the broader sectoral trend where the IT index had previously shed over 1.2% [5] - The metal index was the top sectoral performer on Wednesday, rallying over 1% [8] Institutional Activity - Foreign Institutional Investors (FIIs) bought equities worth ₹1,154 crore, marking their second consecutive session of net buying, while Domestic Institutional Investors (DIIs) purchased ₹440 crore [8] - FII positioning in the derivatives segment reflects a net bullish bias, indicating a mildly constructive market undertone [8] Valuation Insights - The Nifty is trading at around 20 times FY27 estimated earnings, while midcap and smallcap indexes are trading at 28 and 24 times respectively, indicating a stock picker's market [8] - Positive prospects are noted for sectors including financials, autos, capital goods, pharmaceuticals, and hotels [8] Technical Analysis - The market found support near 25,650 on the Nifty and 83,400 on the Sensex, with an uptrend likely to continue as long as these levels hold [9] - Immediate resistance for traders is pegged at 25,950–26,000 on the Nifty and 84,700–85,000 on the Sensex [9] Commodities and Currency - MCX Gold futures are consolidating near the ₹1,50,000–₹1,60,000 zone after correcting from record highs, while MCX Silver trades near ₹2,30,000–₹2,50,000 [10] - The USD/INR pair hovers around 90.50–90.90, with the dollar index climbing to a one-week high of 97.70 following Federal Reserve meeting minutes [10]

衡宇 发自 麦蒿寺 量子位 | 公众号 QbitAI 2026年的除夕夜，AI技术第一次以如此密集的方式进入全民文化场景。 很多观众或许说不清技术原理，但一定记住了那几个关键词： AI、机器人、具身智能 。 电视一关，注意力瞬时分流。 声量在那一晚几乎达到了顶峰。 然而，对于身处其中的科技大厂和独角兽们来说，焦虑并没有随着《难忘今宵》的响起而消散。 到底要怎么办，这些机器人和复杂的算法，才不会只被看作"春节限定"的节目道具？怎么才能让这泼天的流量延续下去？ （此处应有一个和GPT的对话框：我稳稳地接住了你，doge） 在观察春节期间的互联网数据时，我们发现一个有意思的趋势。 春晚之外，这些在舞台上完成高光亮相的科技公司， 并没有让热度自然冷却 。 无论是大模型产品，还是具身机器人品牌，都在围绕春节节点密集布局线上互动场景——无论是赶在除夕前就通过"同好直播间"深度潜伏的腾 讯的元宝AI，还是在春晚秀完肌肉后马不停蹄赶往直播间互动的松延动力，甚至是刚下舞台就立刻在社区交出"技术作业"的宇树科技…… 它们显然在 寻找一个能够承接讨论、延续热度的空间 。 春晚之后，AI和具身的热度往哪里流？ 顶流们的动作不约而同地 ...

朋友们，今天凌晨美股收了根小阳线，纳指涨0.78%，英伟达、亚马逊这些老朋友都回来了。但你要是 只看指数，可能会错过真正的大戏——美联储那份会议纪要，简直是一部"宫斗剧"。 先给你翻译一下核心看点：降息派、暂停派、加息派，三派人马在同一份纪要里同时登场。 什么意思？有的官员说，如果通胀按预期下降，进一步降息是合适的；有的说，现在就得按兵不动，等 通胀明确了再说；最狠的是，首次有官员明确提出：不排除重新加息的可能性。你没看错，不是"降不 降"，是"加不加"都摆上台面了。 美联储传声筒Nick Timiraos总结得很到位：官员们对劳动力市场的担忧减轻了，对通胀的担忧却增加 了。这就解释了为什么美股涨得那么纠结——不是不想涨，是不知道该信哪一派。 再往下看，科技股的反弹也不是普涨。英伟达涨1.6%，因为Meta说要继续买它的芯片；亚马逊涨 1.8%，因为阿克曼加仓了65%；美光大涨5.3%，因为大卫·泰珀也进来了。这些都不是"AI信仰"的全面 回归，而是个股层面的"贵人相助"。 有机构已经开始讨论：AI抛售潮是不是临近尾声了？但更多交易员的态度是：等英伟达财报出来再 说。毕竟，庞大的资本开支是真金白银在烧，回报却 ...

Core Viewpoint - Nvidia's CEO Jensen Huang announced the unveiling of a "world-first" new chip at the upcoming GTC 2026 conference, which is expected to further solidify the company's leading position in the AI infrastructure sector [1][4]. Group 1: Upcoming Conference Details - The GTC 2026 conference will take place on March 15 in San Jose, California, focusing on a new era of AI infrastructure competition [4]. - Huang acknowledged the challenges in developing these new chips, stating that "all technologies are approaching their limits," yet the industry remains optimistic due to Nvidia's track record [4]. Group 2: New Chip Series - Specific models of the new chips have not been disclosed, but speculation suggests they may come from two major series: the Rubin series derivatives and the next-generation Feynman series [4]. - The Rubin series, which includes six new chip designs, has already been fully mass-produced and was showcased at the 2026 CES [4]. - The Feynman series is described as "revolutionary," with Nvidia exploring broad integration using SRAM and potential 3D stacking technology for LPUs, although details remain unconfirmed [4]. Group 3: Addressing AI Compute Needs - Nvidia is adapting to quarterly changes in AI compute demands, shifting focus from the Hopper and Blackwell series, which emphasize model pre-training, to the Grace Blackwell Ultra and Vera Rubin series, which target inference scenarios [4]. - The new products are expected to specifically address latency and memory bandwidth bottlenecks [4]. Group 4: Strategic Positioning - Huang emphasized that extensive collaboration and investment are key to Nvidia's continued leadership, as the company is positioning itself across the entire AI industry chain, including energy, semiconductors, and data centers [4].

Core Insights - The current software sector pullback is driven by a debate over long-term value and whether AI will erode existing profit pools and competitive advantages [1][2] - Goldman Sachs analysts have identified seven bearish arguments regarding software companies, assessing their risks and potential impacts on various segments [1][2] Group 1: Market Concerns - The focus has shifted from short-term growth to concerns about whether AI will diminish software companies' competitive moats [2] - The report categorizes bearish arguments into a structured analysis, assigning risk scores to each argument to evaluate what can sustain long-term value [2] Group 2: System of Record (SoR) Risks - The risk of SoR being replaced is considered low (risk score 1), as generative AI is more suited for analysis rather than transactional processes [3] - However, there is a potential risk of value migrating from SoR to an "agentic operating system/orchestration layer" (risk score 4), which could weaken traditional competitive advantages [5] Group 3: Data Boundaries and Value Migration - If companies keep their data advantages confined within existing applications, the stability of SoR will be maintained, but profit pools may be siphoned off by new layers [4] - The orchestration layer could become more valuable as it enables cross-system reasoning and workflow automation, potentially undermining the traditional user interface and process dependencies of SoR [5] Group 4: Vertical vs. Horizontal Software - Vertical software is currently more resilient but may face challenges from horizontal platforms that allow users to create industry workflows using AI tools (risk score 2) [6] - The report highlights that established vertical software companies have significant barriers to entry due to proprietary data and deep integration into workflows [6] Group 5: Development Costs and Competition - The decline in coding costs due to AI tools will lead to increased competition, but the risk is rated as moderate (risk score 2) since software engineering involves more than just coding [8] - Efficiency gains from AI tools may shift bottlenecks to new areas, particularly in enterprise-level delivery where security and integration remain critical [8] Group 6: Customization Trends - Companies may increasingly prefer to build custom solutions, particularly in scenarios where existing software does not meet their needs (risk score 3) [9] - Palantir is cited as an example of a company successfully leveraging customization to create quantifiable ROI for clients [9] Group 7: Profit Margin Pressures - The industry is expected to experience moderate margin pressures over the next 12-24 months as companies absorb costs related to AI adoption [12] - The shift towards consumption-based pricing models may alter traditional SaaS economics, with some AI-native companies reporting lower margins compared to established SaaS firms [12] Group 8: Technological Uncertainty - The rapid pace of technological advancement presents the highest risk, making it difficult to predict long-term outcomes (risk score 5) [13] - The report notes that the unpredictability of technology evolution can lead to lower valuation multiples due to increased uncertainty [14] Group 9: Stability Signals - Key signals to watch for stability include whether software companies can demonstrate that domain expertise leads to higher quality outcomes and whether financial fundamentals can stabilize or improve [15]