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LimBT

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- LimBTLimBT
  ·2024-06-07
  $Lululemon Athletica(LULU)$ 400
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- LimBTLimBT
  ·2024-02-03
  Condolences🙏
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- LimBTLimBT
  ·2023-10-10
  Share your opinion about this news…
  Top Calls on Wall Street: Apple, Tesla, Netflix, Disney, Arm, Oracle and More
  Here are Monday’s biggest calls on Wall Street:JPMorgan reiterates Apple as overweightJPMorgan said its Apple survey checks show product delivery times are moderating.“In Week 4 of our Product Availab
  Top Calls on Wall Street: Apple, Tesla, Netflix, Disney, Arm, Oracle and More
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- LimBTLimBT
  ·2023-06-05
  $GENTING SINGAPORE LIMITED(G13.SI)$
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- LimBTLimBT
  ·2023-04-19
  Ok
  Microsoft May Be Leading In AI, But Other Titans Loom Large
  SummaryModern AI technology relies on neural networks with exorbitant amounts of parameters, a techn
  Microsoft May Be Leading In AI, But Other Titans Loom Large
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- LimBTLimBT
  ·2023-04-19
  Ok
  3 Dividend-Paying Stocks to Buy for Incredible Passive Income in Retirement
  These dividend-paying stocks are certainly worth a look for investors looking to create a true strea
  3 Dividend-Paying Stocks to Buy for Incredible Passive Income in Retirement
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- LimBTLimBT
  ·2023-04-18
  Ok
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- LimBTLimBT
  ·2023-04-18
  Ok
  Bank of America, Goldman Sachs, J&J, Netflix, And More: U.S. Stocks To Watch
  Stock futures pointed mostly higher Tuesday with earnings reports coming from the likes of Bank of A
  Bank of America, Goldman Sachs, J&J, Netflix, And More: U.S. Stocks To Watch
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- LimBTLimBT
  ·2023-04-16
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- LimBTLimBT
  ·2023-04-16
  Ok
  Want $1 Million in Retirement? Invest $295,000 in These 3 Stocks and Wait a Decade
  Just a few extra percentage points of outperformance can make a huge difference over the long haul.
  Want $1 Million in Retirement? Invest $295,000 in These 3 Stocks and Wait a Decade
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Wall Street:JPMorgan reiterates Apple as overweightJPMorgan said its Apple survey checks show product delivery times are moderating.“In Week 4 of our Product Availab","content":"<html><head></head><body><p>Here are Monday’s biggest calls on Wall Street:</p><h2 id=\"id_1361728544\" style=\"text-align: start;\">JPMorgan reiterates Apple as overweight</h2><p>JPMorgan said its Apple survey checks show product delivery times are moderating.</p><p>“In Week 4 of our Product Availability Tracker, delivery lead times have moderated for the second week in a row; albeit, to various degrees across models.”</p><h2 id=\"id_1082491338\" style=\"text-align: start;\">Wells Fargo reiterates Tesla as equal weight</h2><p>Wells said it’s cautious heading into Tesla earnings next week. The firm said it’s concerned about “margin erosion.”</p><p>“TSLA walked away from its 20% auto GM [gross margin] target earlier in the year after additional price cuts. We expect auto gross margin ex EV credits to fall from 18.1% in Q2 to 16.3% in Q3.”</p><h2 id=\"id_2558960939\" style=\"text-align: start;\">Piper Sandler reiterates Amazon as overweight</h2><p>Piper said it’s standing by its overweight rating on the stock.</p><p>“We remain constructive on AMZN due to margins. While oil prices have risen QTD, we see structural efficiencies as more impactful and for 3Q23 we forecast $7.7BN in op income, 2% above consensus. ”</p><h2 id=\"id_3618870086\" style=\"text-align: start;\">Wells Fargo reiterates Meta as overweight</h2><p>Wells lowered its price target on Meta to $372 per share from $389 and said it’s standing by its overweight rating on the stock ahead of earnings later this month.</p><p>“Maintain OW rating, reduce PT to $372, based on 20x our ’24 GAAP EPS ests, a modest premium to recent historical multiples to reflect the improved cost discipline and capital allocation.”</p><h2 id=\"id_3040960778\" style=\"text-align: start;\">Goldman Sachs reiterates Netflix as neutral</h2><p>Goldman said it’s standing by its neutral rating heading into earnings next week.</p><p>“In terms of the upcoming earnings report, we expect Netflix to report above Street modeled subscriber performance as a mixture of continued password crackdown execution, relative strength vs. competition in terms of breadth &amp; depth of content on the platform (against the backdrop of strikes), and varying price points stimulate demand.”</p><h2 id=\"id_4097323340\" style=\"text-align: start;\">Barclays reiterates Disney as equal weight</h2><p>Barclays said it’s cautious on Disney heading into earnings in early November.</p><p>“There continues to be significant lack of visibility beyond the very near term, which has effectively resulted in sector flows being dominated by tactical considerations. The one name where focus could gradually shift towards a longer term outlook is Disney. The company should disclose financials in the new reporting structure which breaks out ESPN, ahead of earnings.”</p><h2 id=\"id_3884784977\" style=\"text-align: start;\">JPMorgan initiates Arm Holdings as overweight</h2><p>JPMorgan said the chipmaker is a “leader in semiconductor compute.”</p><p>“Arm is the leader in semiconductor compute architectures (~60%+ microcontroller/microprocessor unit market share) with a strong semiconductor IP portfolio and developer ecosystem.”</p><h2 id=\"id_1943975579\" style=\"text-align: start;\">Evercore ISI upgrades Oracle to overweight from in line</h2><p>Evercore said it sees a compelling entry point.</p><p>“We are upgrading Oracle to Outperform from In Line as we believe that the recent pullback (-13% since F1Q) simply creates a more interesting entry point for a business that is now in a better position to deliver more consistent revenue and earnings growth due a higher % of revenue coming from its cloud solutions.”</p><h2 id=\"id_2105537753\" style=\"text-align: start;\">Redburn Atlantic Equities downgrades Spotify to neutral from buy</h2><p>Redburn said it sees margin risks.</p><p>“We remain positive on Spotify’s momentum in operating cost cuts and expect EBIT<br/>to turn positive in Q4 23 but see limited value from here given the risks to margins.”</p></body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; 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overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nTop Calls on Wall Street: Apple, Tesla, Netflix, Disney, Arm, Oracle and More\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1079075236\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/8274c5b9d4c2852bfb1c4d6ce16c68ba);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Tiger Newspress </p>\n<p class=\"h-time\">2023-10-09 23:30</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<html><head></head><body><p>Here are Monday’s biggest calls on Wall Street:</p><h2 id=\"id_1361728544\" style=\"text-align: start;\">JPMorgan reiterates Apple as overweight</h2><p>JPMorgan said its Apple survey checks show product delivery times are moderating.</p><p>“In Week 4 of our Product Availability Tracker, delivery lead times have moderated for the second week in a row; albeit, to various degrees across models.”</p><h2 id=\"id_1082491338\" style=\"text-align: start;\">Wells Fargo reiterates Tesla as equal weight</h2><p>Wells said it’s cautious heading into Tesla earnings next week. The firm said it’s concerned about “margin erosion.”</p><p>“TSLA walked away from its 20% auto GM [gross margin] target earlier in the year after additional price cuts. We expect auto gross margin ex EV credits to fall from 18.1% in Q2 to 16.3% in Q3.”</p><h2 id=\"id_2558960939\" style=\"text-align: start;\">Piper Sandler reiterates Amazon as overweight</h2><p>Piper said it’s standing by its overweight rating on the stock.</p><p>“We remain constructive on AMZN due to margins. While oil prices have risen QTD, we see structural efficiencies as more impactful and for 3Q23 we forecast $7.7BN in op income, 2% above consensus. ”</p><h2 id=\"id_3618870086\" style=\"text-align: start;\">Wells Fargo reiterates Meta as overweight</h2><p>Wells lowered its price target on Meta to $372 per share from $389 and said it’s standing by its overweight rating on the stock ahead of earnings later this month.</p><p>“Maintain OW rating, reduce PT to $372, based on 20x our ’24 GAAP EPS ests, a modest premium to recent historical multiples to reflect the improved cost discipline and capital allocation.”</p><h2 id=\"id_3040960778\" style=\"text-align: start;\">Goldman Sachs reiterates Netflix as neutral</h2><p>Goldman said it’s standing by its neutral rating heading into earnings next week.</p><p>“In terms of the upcoming earnings report, we expect Netflix to report above Street modeled subscriber performance as a mixture of continued password crackdown execution, relative strength vs. competition in terms of breadth &amp; depth of content on the platform (against the backdrop of strikes), and varying price points stimulate demand.”</p><h2 id=\"id_4097323340\" style=\"text-align: start;\">Barclays reiterates Disney as equal weight</h2><p>Barclays said it’s cautious on Disney heading into earnings in early November.</p><p>“There continues to be significant lack of visibility beyond the very near term, which has effectively resulted in sector flows being dominated by tactical considerations. The one name where focus could gradually shift towards a longer term outlook is Disney. The company should disclose financials in the new reporting structure which breaks out ESPN, ahead of earnings.”</p><h2 id=\"id_3884784977\" style=\"text-align: start;\">JPMorgan initiates Arm Holdings as overweight</h2><p>JPMorgan said the chipmaker is a “leader in semiconductor compute.”</p><p>“Arm is the leader in semiconductor compute architectures (~60%+ microcontroller/microprocessor unit market share) with a strong semiconductor IP portfolio and developer ecosystem.”</p><h2 id=\"id_1943975579\" style=\"text-align: start;\">Evercore ISI upgrades Oracle to overweight from in line</h2><p>Evercore said it sees a compelling entry point.</p><p>“We are upgrading Oracle to Outperform from In Line as we believe that the recent pullback (-13% since F1Q) simply creates a more interesting entry point for a business that is now in a better position to deliver more consistent revenue and earnings growth due a higher % of revenue coming from its cloud solutions.”</p><h2 id=\"id_2105537753\" style=\"text-align: start;\">Redburn Atlantic Equities downgrades Spotify to neutral from buy</h2><p>Redburn said it sees margin risks.</p><p>“We remain positive on Spotify’s momentum in operating cost cuts and expect EBIT<br/>to turn positive in Q4 23 but see limited value from here given the risks to margins.”</p></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"META":"Meta Platforms, Inc.","ARM":"ARM Holdings","NFLX":"奈飞","TSLA":"特斯拉","AAPL":"苹果","ORCL":"甲骨文","DIS":"迪士尼","SPOT":"Spotify Technology S.A.","AMZN":"亚马逊"},"source_url":"","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1160922099","content_text":"Here are Monday’s biggest calls on Wall Street:JPMorgan reiterates Apple as overweightJPMorgan said its Apple survey checks show product delivery times are moderating.“In Week 4 of our Product Availability Tracker, delivery lead times have moderated for the second week in a row; albeit, to various degrees across models.”Wells Fargo reiterates Tesla as equal weightWells said it’s cautious heading into Tesla earnings next week. The firm said it’s concerned about “margin erosion.”“TSLA walked away from its 20% auto GM [gross margin] target earlier in the year after additional price cuts. We expect auto gross margin ex EV credits to fall from 18.1% in Q2 to 16.3% in Q3.”Piper Sandler reiterates Amazon as overweightPiper said it’s standing by its overweight rating on the stock.“We remain constructive on AMZN due to margins. While oil prices have risen QTD, we see structural efficiencies as more impactful and for 3Q23 we forecast $7.7BN in op income, 2% above consensus. ”Wells Fargo reiterates Meta as overweightWells lowered its price target on Meta to $372 per share from $389 and said it’s standing by its overweight rating on the stock ahead of earnings later this month.“Maintain OW rating, reduce PT to $372, based on 20x our ’24 GAAP EPS ests, a modest premium to recent historical multiples to reflect the improved cost discipline and capital allocation.”Goldman Sachs reiterates Netflix as neutralGoldman said it’s standing by its neutral rating heading into earnings next week.“In terms of the upcoming earnings report, we expect Netflix to report above Street modeled subscriber performance as a mixture of continued password crackdown execution, relative strength vs. competition in terms of breadth & depth of content on the platform (against the backdrop of strikes), and varying price points stimulate demand.”Barclays reiterates Disney as equal weightBarclays said it’s cautious on Disney heading into earnings in early November.“There continues to be significant lack of visibility beyond the very near term, which has effectively resulted in sector flows being dominated by tactical considerations. The one name where focus could gradually shift towards a longer term outlook is Disney. The company should disclose financials in the new reporting structure which breaks out ESPN, ahead of earnings.”JPMorgan initiates Arm Holdings as overweightJPMorgan said the chipmaker is a “leader in semiconductor compute.”“Arm is the leader in semiconductor compute architectures (~60%+ microcontroller/microprocessor unit market share) with a strong semiconductor IP portfolio and developer ecosystem.”Evercore ISI upgrades Oracle to overweight from in lineEvercore said it sees a compelling entry point.“We are upgrading Oracle to Outperform from In Line as we believe that the recent pullback (-13% since F1Q) simply creates a more interesting entry point for a business that is now in a better position to deliver more consistent revenue and earnings growth due a higher % of revenue coming from its cloud solutions.”Redburn Atlantic Equities downgrades Spotify to neutral from buyRedburn said it sees margin risks.“We remain positive on Spotify’s momentum in operating cost cuts and expect EBITto turn positive in Q4 23 but see limited value from here given the risks to margins.”","news_type":1},"isVote":1,"tweetType":1,"viewCount":570,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":183939730514032,"gmtCreate":1685928333432,"gmtModify":1685928336065,"author":{"id":"4134278158747952","authorId":"4134278158747952","name":"LimBT","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false,"idStr":"4134278158747952","authorIdStr":"4134278158747952"},"themes":[],"htmlText":"<a href=\"https://ttm.financial/S/G13.SI\">$GENTING SINGAPORE LIMITED(G13.SI)$&nbsp;</a>","listText":"<a href=\"https://ttm.financial/S/G13.SI\">$GENTING SINGAPORE LIMITED(G13.SI)$&nbsp;</a>","text":"$GENTING SINGAPORE LIMITED(G13.SI)$","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/183939730514032","isVote":1,"tweetType":1,"viewCount":876,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9944250730,"gmtCreate":1681880857320,"gmtModify":1681880860629,"author":{"id":"4134278158747952","authorId":"4134278158747952","name":"LimBT","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false,"idStr":"4134278158747952","authorIdStr":"4134278158747952"},"themes":[],"htmlText":"Ok","listText":"Ok","text":"Ok","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/9944250730","repostId":"1191423391","repostType":4,"repost":{"id":"1191423391","kind":"news","pubTimestamp":1681875514,"share":"https://ttm.financial/m/news/1191423391?lang=&edition=fundamental","pubTime":"2023-04-19 11:38","market":"us","language":"en","title":"Microsoft May Be Leading In AI, But Other Titans Loom Large","url":"https://stock-news.laohu8.com/highlight/detail?id=1191423391","media":"Seeking Alpha","summary":"SummaryModern AI technology relies on neural networks with exorbitant amounts of parameters, a techn","content":"<html><head></head><body><h2 style=\"text-align: left;\">Summary</h2><ul><li><p>Modern AI technology relies on neural networks with exorbitant amounts of parameters, a technology which is extremely expensive to develop.</p></li><li><p>This has resulted in there being very few credible AI players that are actually in the market - far less than it may seem.</p></li><li><p>These companies are all known entities and are some of the biggest technology companies around: Amazon, Microsoft, Google, and Meta.</p></li><li><p>Across the pack, Microsoft is handedly in the lead. Yet, the AI moat is such a significant one that I wouldn&#39;t underestimate any of them over the next decade.</p></li><li><p>This article details the nature of modern AI technology, the general economics of building it, and the AI capabilities of these scale players.</p></li></ul><h2 style=\"text-align: left;\">Overview of AI Technology</h2><p style=\"text-align: left;\">There are far fewer credible AI stocks in the market today than you may have been led to believe. While a lot of companies want to claim an artificial intelligence capability, what they really have in place is some kind of machine learning system. Machine learning is technically a type of artificial intelligence. In essence, machine learning systems constitute a self-improving algorithm that leverages advanced statistics to get better over time. The most advanced ML systems make use of the same foundational data structure as cutting-edge artificial intelligence systems: neural networks.</p><p style=\"text-align: left;\">Neural networks take the form of a graph. This isn&#39;t your standard x/y/z coordinate graph. Rather, this kind of graph is a set of nodes with quantified relationships between them. These kinds of graphs are used for computational learning systems in particular as they are designed to approximate the structure of the human brain. Graphs have been around for a while and are utilized in a variety of applications; they are, however, the only mathematical structure utilized for neural networks and thus for artificial intelligence.</p><p style=\"text-align: left;\"></p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/f348e51f488ea62de2453ef1df31b379\" alt=\"X/Y/Z Coordinate Graph; Source Wikipedia\" title=\"X/Y/Z Coordinate Graph; Source Wikipedia\" tg-width=\"278\" tg-height=\"269\"/><span>X/Y/Z Coordinate Graph; Source Wikipedia</span></p><p style=\"text-align: left;\"><strong>X/Y/Z Coordinate Graph; Source Wikipedia</strong></p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/d08048f29148a274bb1a391ccc3053bb\" alt=\"Neural Network Graph; Source Wikipedia\" title=\"Neural Network Graph; Source Wikipedia\" tg-width=\"562\" tg-height=\"316\"/><span>Neural Network Graph; Source Wikipedia</span></p><p style=\"text-align: left;\"><strong>Neural Network Graph; Source Wikipedia</strong></p><p style=\"text-align: left;\">If advanced machine learning models make use of neural networks, then aren&#39;t they AI? Technically, yes, they are - all machine learning systems are AI. The difference then is really a matter of how many parameters there are in the model. Things like ChatGPT have massive amounts of parameters. A parameter is one <em>type</em> of data; the more parameters, the more types of data the model can process. Larger models are so complex that the majority of these parameters/data types have no comparison to human experience. This is what results in them being &#39;black box&#39; models and unable to be fully understood by people.</p><p style=\"text-align: left;\">It is these massive neural networks that are responsible for the impressive advances that we have been seeing in the field. More specifically, the neural networks underlying the most well-known AI systems (such as ChatGPT) are considered &#39;large language models&#39;. They are referred to as such because they combine massive neural networks with algorithms from the field of natural language processing (NLP). This combination allows them to process, generate, and even seemingly comprehend text.</p><p style=\"text-align: left;\">A review of the models built at OpenAI presents some clarity as to just how large these large language models are.</p><table style=\"border-collapse:collapse;\"><tbody><tr><td style=\"text-align:left;\"><p><strong>Large Language Model</strong></p></td><td style=\"text-align:left;\"><p><strong>Number of Parameters</strong></p></td></tr><tr><td style=\"text-align:left;\"><p>GPT-1</p></td><td style=\"text-align:left;\"><p>117 Million</p></td></tr><tr><td style=\"text-align:left;\"><p>GPT-2</p></td><td style=\"text-align:left;\"><p>1.5 Billion</p></td></tr><tr><td style=\"text-align:left;\"><p>GPT-3</p></td><td style=\"text-align:left;\"><p>175 Billion</p></td></tr><tr><td style=\"text-align:left;\"><p>GPT-4</p></td><td style=\"text-align:left;\"><p>Unconfirmed. Est. 100 Trillion</p></td></tr></tbody></table><p style=\"text-align: left;\"><em>Source: OpenAI, Author&#39;s Excel Spreadsheet</em></p><p style=\"text-align: left;\">As OpenAI built larger and larger models, they discovered that each system became better purely on the basis of having more parameters. GPT-3 represented an inflection point, demonstrating a level of competence that people had not seen from a computer previously and kicking off the current craze.</p><p style=\"text-align: left;\">GPT-4 is quite new and OpenAI has not disclosed how many parameters it has, although anecdotal estimates from people in the technology sector say that it is around 100 trillion (100,000 billion). Since OpenAI has consistently been transparent with this information before, it is likely that they do not actually know how many parameters GPT-4 has.</p><h2 style=\"text-align: left;\">Economics of Building AI Systems</h2><p style=\"text-align: left;\">The reality of these models is that size matters. In fact, it has become the preeminent element determining the quality of an AI system. What we can conclude from this is that artificial intelligence technology is extraordinarily expensive to build. OpenAI has raised $11B in funding just to build these first 4 models - and it is a company that focuses single-mindedly on building AI systems.</p><p style=\"text-align: left;\">Speaking to the cost of building these systems, Amazon&#39;s CEO recently referred to this reality in an interview with CNBC:</p><p style=\"text-align: left;\"></p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/aca3354d20906875e6f8fd15c8cfa2c2\" alt=\"CNBC\" title=\"CNBC\" tg-width=\"640\" tg-height=\"202\"/><span>CNBC</span></p><p style=\"text-align: left;\"><strong>CNBC</strong></p><p style=\"text-align: left;\">As such, the emerging reality of this extremely expensive technology is that only a few companies are going to have it. Just as Amazon is doing with Bedrock, they are then going to license these models out to other companies for their purposes. It should then be clear who will be capturing most of the economics from AI - the companies that own the foundational models. There are only 5 firms that I can think of off the bat who have actually built AI systems that are approximately as sophisticated as those being released by OpenAI: Amazon (AMZN), Microsoft (NASDAQ: MSFT), Google (GOOG) (GOOGL), Meta (META), and IBM (IBM). The next section of this article will review the first 4 of these as well as the progress that they have made to date.</p><h2 style=\"text-align: left;\">Rising Titans of Artificial Intelligence</h2><p style=\"text-align: left;\">As I mentioned, companies already need to be a certain level of size in order to have the resources to actually build these models. Furthermore, they need to have already put down the ~$10B in capital expenditure. The computing resources required to build these models are vast. Artificial intelligence software developers are scarce, in-demand, and are also very expensive. It&#39;s altogether reasonable that the list of credible players is quite small in number. I&#39;ll outline them here as well as add in some notes about the AI work that they have done thus far.</p><h3 style=\"text-align: left;\">1. Amazon</h3><p style=\"text-align: left;\">Since I already mentioned Amazon it&#39;s worth starting with them. Amazon, through AWS, is already a serious and assertive artificial intelligence player. Through their Bedrock service they are already selling foundational large language models for other businesses to use and customize as they see fit.</p><p style=\"text-align: left;\">They are also distributing models built by startups, including the high profile OpenAI competitor Anthropic. I expect them to do quite well through this initiative.</p><p style=\"text-align: left;\">AWS has also been selling simpler AI services for some time. However, this type of narrow AI-enabled cloud service, while pioneered by AWS, has long been available through Microsoft&#39;s Azure as well as Google Cloud Services. As such it can&#39;t really be considered the leading edge any longer.</p><p style=\"text-align: left;\"></p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/d8e7517e7dad982b99f23ab35163e3cb\" alt=\"AWS\" title=\"AWS\" tg-width=\"640\" tg-height=\"307\"/><span>AWS</span></p><p style=\"text-align: left;\"><strong>AWS</strong></p><h3 style=\"text-align: left;\">2. Microsoft</h3><p style=\"text-align: left;\">Next up is Microsoft. Microsoft is well-regarded when it comes to AI and is certainly seen as being on its front foot in this rapidly developing market. Just like AWS, Microsoft is selling access to foundational LLM technology via its Azure cloud services division. You can already leverage GPT-4 via Azure.</p><p style=\"text-align: left;\"></p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/129f3e3945f58b2690f5bec52e3a4702\" alt=\"Microsoft\" title=\"Microsoft\" tg-width=\"640\" tg-height=\"376\"/><span>Microsoft</span></p><p style=\"text-align: left;\"><strong>Microsoft</strong></p><p style=\"text-align: left;\">In addition to this, Microsoft is in the early stages of deploying AI-enabled services across its entire suite of Office products. Given the sheer ubiquity of Microsoft Office, this is a very significant development. While this project is still in pilot stage and is only being offered to a select group of enterprise clients, this will completely rewire the way that business gets done when it is released <em>en masse</em>.</p><p style=\"text-align: left;\">By combining an intuitive interface with ready integration into products that most businesses already have, Microsoft is going to change the game. I recommend watching the video in the link to see exactly what I&#39;m talking about here - I can certainly say that I am impressed. I think this is the most significant artificial intelligence offering that will be brought to market over the next year.</p><p style=\"text-align: left;\">Finally, we should also note that Microsoft is first as to selling a useful AI product directly to consumers. Github Copilot released back in Q4 2021 and already achieved $1B in revenue in 2022.</p><p style=\"text-align: left;\">As things now stand, Microsoft has both the broadest AI footprint as well as the most immediately identifiable revenue derived from selling pure AI products. It is the market leader.</p><h3 style=\"text-align: left;\">3. Alphabet (Google)</h3><p style=\"text-align: left;\">Next up is Google. Google has long been a serious player in AI research, having bought leading AI research house DeepMind back in 2014. DeepMind has since achieved a number of industry firsts, including proving out systems that were able to beat top human players at <em>Go</em>, a game significantly more complex than Chess. DeepMind has also contributed to research across a variety of fields, including protein folding and cancer research. It has published extensive amounts of research and, anecdotally, is widely regarded as one of the best - if not the best - artificial intelligence laboratories that exist today.</p><p style=\"text-align: left;\">On the commercialization side, Google is perceived to be lagging. Upon review, however, this doesn&#39;t necessarily seem to be the case. Google does sell AI services and cloud AI data infrastructure to developers via Google Cloud, just like AWS and Microsoft&#39;s Azure. It has also stepped into the market and is offering access to its proprietary LLM&#39;s via its cloud services. Furthermore it is also testing a generative AI toolkit across its Workspace products, which will provide similar capabilities to Microsoft&#39;s Office Copilot initiative.</p><p style=\"text-align: left;\">In terms of footprint, Google has its bases covered. However, it is fair to say that it does not have the same level of immediate commercial potential as its immediate competitors in terms of AI. The simple fact that its products are highly similar to those of its peers, yet way less known about, are proof of this. Additionally Google Cloud is not yet profitable as of 2022, and expensive AI initiatives could act as a further drag on it - not exactly something they need to worry about at AWS.</p><p style=\"text-align: left;\">Nonetheless, I would not underestimate Google over the long-term when it comes to AI. This game will take time to play out, and quality matters. I am confident that Google has best-of-breed technology. While its notoriously research-oriented culture is seeing it take more time to bring things to market, it will undoubtedly be one of the titans of AI going forward - in fact it already is. The company simply needs to prove out its ability to earn off of this technology, which its peers, especially Microsoft, are doing better at the moment.</p><p style=\"text-align: left;\"></p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/81fa270c3b4996f32d243fb2cdee6a8c\" alt=\"Google\" title=\"Google\" tg-width=\"640\" tg-height=\"597\"/><span>Google</span></p><p style=\"text-align: left;\"><strong>Google</strong></p><p style=\"text-align: left;\"><strong>4. Meta (META)</strong></p><p style=\"text-align: left;\">Meta is credible as to having models that are in the same class as its peers but has yet to commercialize them. Having been involved in AI for some time, it has open-sourced a multitude of advanced AI-enabling software technologies. pyTorch is a notable example and is the market standard for rapid deployments of small-to-medium sized AI models.</p><p style=\"text-align: left;\"></p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/33e7fd9c3ff50bc8be2467e823eec0f7\" alt=\"Meta\" title=\"Meta\" tg-width=\"640\" tg-height=\"177\"/><span>Meta</span></p><p style=\"text-align: left;\"><strong>Meta</strong></p><p style=\"text-align: left;\">Similar to Google, Meta has the technology in place but hasn&#39;t brought it to market yet. I think the opportunity for Meta will be in generative AI deployed across its apps. This will likely take the form of allowing for users to readily customize and create content using AI. How this will play out exactly is as yet unclear, but I can assert that the company has the technology in place to make it happen.</p><h2 style=\"text-align: left;\">Conclusion</h2><p style=\"text-align: left;\">If I had to rank these 4 companies in terms of where they&#39;re at as to commercializing AI, I would say:</p><ol><li><p>Microsoft</p></li><li><p>Amazon</p></li><li><p>Google</p></li><li><p>Meta</p></li></ol><p style=\"text-align: left;\">Microsoft is leading the pack at the moment and should see serious growth as a result of the Microsoft Office initiative it has in the works. This could start adding billions to its bottom line as soon as this year.</p><p style=\"text-align: left;\">Overall, I want to be clear in saying that these companies have already established moats that few other companies will have. Over the next decade I would not underestimate any of them. From doing the research for this analysis, it has become clear to me that these small-cap &#39;AI stocks&#39; are anything but. They simply don&#39;t have technology that comes anywhere close to what these scale players have in place.</p><p style=\"text-align: left;\">To that end I would say that these companies are in the best position to benefit from AI over the next decade; they are positioned to capture the lion&#39;s share of the economics. I reiterate that I would not underestimate any of them. If I had to pick one for the year ahead it would definitely be Microsoft, which is definitely a buy.</p></body></html>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Microsoft May Be Leading In AI, But Other Titans Loom Large</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nMicrosoft May Be Leading In AI, But Other Titans Loom Large\n</h2>\n\n<h4 class=\"meta\">\n\n\n2023-04-19 11:38 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/article/4594708-microsoft-may-be-leading-in-ai-but-other-titans-loom-large><strong>Seeking Alpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>SummaryModern AI technology relies on neural networks with exorbitant amounts of parameters, a technology which is extremely expensive to develop.This has resulted in there being very few credible AI ...</p>\n\n<a href=\"https://seekingalpha.com/article/4594708-microsoft-may-be-leading-in-ai-but-other-titans-loom-large\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"MSFT":"微软"},"source_url":"https://seekingalpha.com/article/4594708-microsoft-may-be-leading-in-ai-but-other-titans-loom-large","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1191423391","content_text":"SummaryModern AI technology relies on neural networks with exorbitant amounts of parameters, a technology which is extremely expensive to develop.This has resulted in there being very few credible AI players that are actually in the market - far less than it may seem.These companies are all known entities and are some of the biggest technology companies around: Amazon, Microsoft, Google, and Meta.Across the pack, Microsoft is handedly in the lead. Yet, the AI moat is such a significant one that I wouldn't underestimate any of them over the next decade.This article details the nature of modern AI technology, the general economics of building it, and the AI capabilities of these scale players.Overview of AI TechnologyThere are far fewer credible AI stocks in the market today than you may have been led to believe. While a lot of companies want to claim an artificial intelligence capability, what they really have in place is some kind of machine learning system. Machine learning is technically a type of artificial intelligence. In essence, machine learning systems constitute a self-improving algorithm that leverages advanced statistics to get better over time. The most advanced ML systems make use of the same foundational data structure as cutting-edge artificial intelligence systems: neural networks.Neural networks take the form of a graph. This isn't your standard x/y/z coordinate graph. Rather, this kind of graph is a set of nodes with quantified relationships between them. These kinds of graphs are used for computational learning systems in particular as they are designed to approximate the structure of the human brain. Graphs have been around for a while and are utilized in a variety of applications; they are, however, the only mathematical structure utilized for neural networks and thus for artificial intelligence.X/Y/Z Coordinate Graph; Source WikipediaX/Y/Z Coordinate Graph; Source WikipediaNeural Network Graph; Source WikipediaNeural Network Graph; Source WikipediaIf advanced machine learning models make use of neural networks, then aren't they AI? Technically, yes, they are - all machine learning systems are AI. The difference then is really a matter of how many parameters there are in the model. Things like ChatGPT have massive amounts of parameters. A parameter is one type of data; the more parameters, the more types of data the model can process. Larger models are so complex that the majority of these parameters/data types have no comparison to human experience. This is what results in them being 'black box' models and unable to be fully understood by people.It is these massive neural networks that are responsible for the impressive advances that we have been seeing in the field. More specifically, the neural networks underlying the most well-known AI systems (such as ChatGPT) are considered 'large language models'. They are referred to as such because they combine massive neural networks with algorithms from the field of natural language processing (NLP). This combination allows them to process, generate, and even seemingly comprehend text.A review of the models built at OpenAI presents some clarity as to just how large these large language models are.Large Language ModelNumber of ParametersGPT-1117 MillionGPT-21.5 BillionGPT-3175 BillionGPT-4Unconfirmed. Est. 100 TrillionSource: OpenAI, Author's Excel SpreadsheetAs OpenAI built larger and larger models, they discovered that each system became better purely on the basis of having more parameters. GPT-3 represented an inflection point, demonstrating a level of competence that people had not seen from a computer previously and kicking off the current craze.GPT-4 is quite new and OpenAI has not disclosed how many parameters it has, although anecdotal estimates from people in the technology sector say that it is around 100 trillion (100,000 billion). Since OpenAI has consistently been transparent with this information before, it is likely that they do not actually know how many parameters GPT-4 has.Economics of Building AI SystemsThe reality of these models is that size matters. In fact, it has become the preeminent element determining the quality of an AI system. What we can conclude from this is that artificial intelligence technology is extraordinarily expensive to build. OpenAI has raised $11B in funding just to build these first 4 models - and it is a company that focuses single-mindedly on building AI systems.Speaking to the cost of building these systems, Amazon's CEO recently referred to this reality in an interview with CNBC:CNBCCNBCAs such, the emerging reality of this extremely expensive technology is that only a few companies are going to have it. Just as Amazon is doing with Bedrock, they are then going to license these models out to other companies for their purposes. It should then be clear who will be capturing most of the economics from AI - the companies that own the foundational models. There are only 5 firms that I can think of off the bat who have actually built AI systems that are approximately as sophisticated as those being released by OpenAI: Amazon (AMZN), Microsoft (NASDAQ: MSFT), Google (GOOG) (GOOGL), Meta (META), and IBM (IBM). The next section of this article will review the first 4 of these as well as the progress that they have made to date.Rising Titans of Artificial IntelligenceAs I mentioned, companies already need to be a certain level of size in order to have the resources to actually build these models. Furthermore, they need to have already put down the ~$10B in capital expenditure. The computing resources required to build these models are vast. Artificial intelligence software developers are scarce, in-demand, and are also very expensive. It's altogether reasonable that the list of credible players is quite small in number. I'll outline them here as well as add in some notes about the AI work that they have done thus far.1. AmazonSince I already mentioned Amazon it's worth starting with them. Amazon, through AWS, is already a serious and assertive artificial intelligence player. Through their Bedrock service they are already selling foundational large language models for other businesses to use and customize as they see fit.They are also distributing models built by startups, including the high profile OpenAI competitor Anthropic. I expect them to do quite well through this initiative.AWS has also been selling simpler AI services for some time. However, this type of narrow AI-enabled cloud service, while pioneered by AWS, has long been available through Microsoft's Azure as well as Google Cloud Services. As such it can't really be considered the leading edge any longer.AWSAWS2. MicrosoftNext up is Microsoft. Microsoft is well-regarded when it comes to AI and is certainly seen as being on its front foot in this rapidly developing market. Just like AWS, Microsoft is selling access to foundational LLM technology via its Azure cloud services division. You can already leverage GPT-4 via Azure.MicrosoftMicrosoftIn addition to this, Microsoft is in the early stages of deploying AI-enabled services across its entire suite of Office products. Given the sheer ubiquity of Microsoft Office, this is a very significant development. While this project is still in pilot stage and is only being offered to a select group of enterprise clients, this will completely rewire the way that business gets done when it is released en masse.By combining an intuitive interface with ready integration into products that most businesses already have, Microsoft is going to change the game. I recommend watching the video in the link to see exactly what I'm talking about here - I can certainly say that I am impressed. I think this is the most significant artificial intelligence offering that will be brought to market over the next year.Finally, we should also note that Microsoft is first as to selling a useful AI product directly to consumers. Github Copilot released back in Q4 2021 and already achieved $1B in revenue in 2022.As things now stand, Microsoft has both the broadest AI footprint as well as the most immediately identifiable revenue derived from selling pure AI products. It is the market leader.3. Alphabet (Google)Next up is Google. Google has long been a serious player in AI research, having bought leading AI research house DeepMind back in 2014. DeepMind has since achieved a number of industry firsts, including proving out systems that were able to beat top human players at Go, a game significantly more complex than Chess. DeepMind has also contributed to research across a variety of fields, including protein folding and cancer research. It has published extensive amounts of research and, anecdotally, is widely regarded as one of the best - if not the best - artificial intelligence laboratories that exist today.On the commercialization side, Google is perceived to be lagging. Upon review, however, this doesn't necessarily seem to be the case. Google does sell AI services and cloud AI data infrastructure to developers via Google Cloud, just like AWS and Microsoft's Azure. It has also stepped into the market and is offering access to its proprietary LLM's via its cloud services. Furthermore it is also testing a generative AI toolkit across its Workspace products, which will provide similar capabilities to Microsoft's Office Copilot initiative.In terms of footprint, Google has its bases covered. However, it is fair to say that it does not have the same level of immediate commercial potential as its immediate competitors in terms of AI. The simple fact that its products are highly similar to those of its peers, yet way less known about, are proof of this. Additionally Google Cloud is not yet profitable as of 2022, and expensive AI initiatives could act as a further drag on it - not exactly something they need to worry about at AWS.Nonetheless, I would not underestimate Google over the long-term when it comes to AI. This game will take time to play out, and quality matters. I am confident that Google has best-of-breed technology. While its notoriously research-oriented culture is seeing it take more time to bring things to market, it will undoubtedly be one of the titans of AI going forward - in fact it already is. The company simply needs to prove out its ability to earn off of this technology, which its peers, especially Microsoft, are doing better at the moment.GoogleGoogle4. Meta (META)Meta is credible as to having models that are in the same class as its peers but has yet to commercialize them. Having been involved in AI for some time, it has open-sourced a multitude of advanced AI-enabling software technologies. pyTorch is a notable example and is the market standard for rapid deployments of small-to-medium sized AI models.MetaMetaSimilar to Google, Meta has the technology in place but hasn't brought it to market yet. I think the opportunity for Meta will be in generative AI deployed across its apps. This will likely take the form of allowing for users to readily customize and create content using AI. How this will play out exactly is as yet unclear, but I can assert that the company has the technology in place to make it happen.ConclusionIf I had to rank these 4 companies in terms of where they're at as to commercializing AI, I would say:MicrosoftAmazonGoogleMetaMicrosoft is leading the pack at the moment and should see serious growth as a result of the Microsoft Office initiative it has in the works. This could start adding billions to its bottom line as soon as this year.Overall, I want to be clear in saying that these companies have already established moats that few other companies will have. Over the next decade I would not underestimate any of them. From doing the research for this analysis, it has become clear to me that these small-cap 'AI stocks' are anything but. They simply don't have technology that comes anywhere close to what these scale players have in place.To that end I would say that these companies are in the best position to benefit from AI over the next decade; they are positioned to capture the lion's share of the economics. I reiterate that I would not underestimate any of them. If I had to pick one for the year ahead it would definitely be Microsoft, which is definitely a buy.","news_type":1},"isVote":1,"tweetType":1,"viewCount":457,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9944250458,"gmtCreate":1681880843874,"gmtModify":1681880848421,"author":{"id":"4134278158747952","authorId":"4134278158747952","name":"LimBT","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false,"idStr":"4134278158747952","authorIdStr":"4134278158747952"},"themes":[],"htmlText":"Ok","listText":"Ok","text":"Ok","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/9944250458","repostId":"1128824057","repostType":4,"repost":{"id":"1128824057","kind":"news","pubTimestamp":1681862408,"share":"https://ttm.financial/m/news/1128824057?lang=&edition=fundamental","pubTime":"2023-04-19 08:00","market":"us","language":"en","title":"3 Dividend-Paying Stocks to Buy for Incredible Passive Income in Retirement","url":"https://stock-news.laohu8.com/highlight/detail?id=1128824057","media":"InvestorPlace","summary":"These dividend-paying stocks are certainly worth a look for investors looking to create a true strea","content":"<html><head></head><body><ul><li><p>These dividend-paying stocks are certainly worth a look for investors looking to create a true stream of passive income.</p></li><li><p><strong>Realty Income</strong> (<strong>O</strong>): The company’s 2022 full-year financial reports were rock-solid.</p></li><li><p><strong>Devon Energy</strong> (<strong>DVN</strong>): Devon plans to distribute up to 50% of its cash flows from oil in 2023.</p></li><li><p><strong>Pfizer</strong> (<strong>PFE</strong>): This is an excellent choice for dividend-oriented investors who possess considerable patience.</p></li></ul><p>In a world where so many individuals have the goal of making their money work for them, investors look to dividend-paying stocks to create a stream of passive income for retirement</p><p style=\"text-align: start;\">Sounds great, right? Buy stocks now that will eventually appreciate over time, and create an income stream that should also theoretically grow alongside said earnings. Many long-term investors are always on the hunt for these “golden geese”.</p><p style=\"text-align: start;\">That said, for those looking to add exposure to dividend-paying stocks, obviously not all are created equal. Some may have distributions that are unsustainable, while others may lack the kind of growth that’s necessary to sustain dividend increases to keep pace with inflation over time.</p><p style=\"text-align: start;\">Accordingly, the dividend-paying stocks investors choose must have solid financial prospects, and a core business model that’s resilient to disruption. Here are three great options on my radar right now.</p><h2 style=\"text-align: start;\">Realty Income Corporation (O)</h2><p>First on this list of dividend-paying stocks to buy is <strong>Realty Income Corporation</strong> (NYSE: <strong><u>O</u></strong>), a real estate investment trust specializing in acquiring and owning commercial properties across the United States. With a portfolio primarily composed of essential goods and services, Realty Income is in a solid position to profit from the resurgence of the retail real estate market.</p><p style=\"text-align: start;\">Most annualized rental revenue for this particular real estate investment trust come from retail tenants whose businesses offer services, essential goods, or low-priced products. Additionally, the trust has a well-diversified portfolio encompassing various tenants, industries, geographic locations, and property types.</p><p style=\"text-align: start;\">Realty Income’s external growth appears promising due to its successful acquisitions and development projects. In 2022, the company invested a substantial amount of $8.9 billion towards 1,301 properties, which included properties under expansion or development.</p><p style=\"text-align: start;\">Realty Income has an extensive record of raising dividends, earning it the trademarked title of “The Monthly Dividend Company” due to their monthly dividend payments. Although the Covid-19 recession was brief, lasting only two months, it resulted in very few companies increasing their dividends during that period. However, during the more significant Great Recession of 2007-2009, Realty Income increased its monthly dividend thrice.</p><p style=\"text-align: start;\">O is currently traded at a reasonable multiple of 15.4-times 2022 Funds from Operation (FFO) per share, which is typical for a high-quality real estate investment trust. In addition, the stock boasts an impressive dividend yield of 4.9%, nearly three times higher than the S&amp;P 500 average. Realty Income should be seen as a solid, conservative choice for a core holding for any income-focused investor.</p><h2 style=\"text-align: start;\">Devon Energy (DVN)</h2><p><strong>Devon Energy</strong> (NYSE: <strong><u>DVN</u></strong>), a hydrocarbon exploration company based in Oklahoma City, Oklahoma, is among the best dividend growth stocks available due to its underlying relevance. For passive income investors, Devon provides an impressive forward yield of 6.63%, surpassing the average yield of the energy sector, which stands at 4.24%. Despite having a relatively elevated payout ratio of 51.68%, Devon’s dividend payout remains manageable.</p><p style=\"text-align: start;\">Potential investors in Devon Energy can take advantage of a possible bargaining opportunity. Presently, the market values DVN stock at a trailing multiple of 5.2-times earnings. This places the company ahead of 61.9% of competitors, when considering discounted earnings. Thus, Devon trades at a forward multiple of 6.7-times, ranking the company better than 60% of the industry.</p><p style=\"text-align: start;\">In the company’s Q4 and full-year 2022 results press release, Devon Energy revealed a fixed dividend increase of 11% for 2023. Devon also plans to allocate $3.6 billion to $3.8 billion toward capital expenditures. This is due to the temporary installation of a fourth frac that expanded in its Delaware Basin during the quarter.</p><p style=\"text-align: start;\">Devon Energy is highly-effective in its operations, with a five-year earnings growth rate of 54.3%, surpassing 86% of its competitors. In addition, its net margin stands at 31.38%, higher than 83% of its sector. Moreover, analysts covering the company have designated DVN as a consensus moderate buy, with an average price target of $67.69 indicating a potential upside of over 22%.</p><h2 style=\"text-align: start;\">Pfizer (PFE)</h2><p>Last on our list of dividend-paying stocks to buy is none other than biotech giant <strong>Pfizer</strong> (NYSE: <strong><u>PFE</u></strong>).</p><p style=\"text-align: start;\">There are several reasons investors should consider buying today, the most significant being its current plan to acquire Seagen. The acquisition, announced on Mar. 13, will see Pfizer purchasing the oncology drug developer for $43 billion in cash, with the funding generated from new debt. Seagen’s product portfolio is expected to generate $2.2 billion in revenue this year. By 2030, it is projected to generate approximately $10 billion in annual revenue, making it a lucrative investment for Pfizer.</p><p style=\"text-align: start;\">Indeed, Pfizer’s acquisition of Seagen will take time to impact the company’s revenue, as its sales guidance for 2023 is already high at up to $71 billion. However, the acquisition is expected to position Pfizer as a significant player in the oncology industry. Seagen’s product portfolio will bring in around $10 billion in annual revenue by 2030.</p><p style=\"text-align: start;\">Investors may be cautious about investing in PFE stock due to the expected decrease in vaccine demand. However, Pfizer’s coronavirus vaccine has boosted the company’s financials, providing new avenues and possibilities. Its management team is projecting non-coronavirus sales of approximately one billion dollars by 2030, representing a solid 7% growth from 2019. Additionally, analysts predict sales will increase 74.6% from 2019 estimates by fiscal 2024.</p></body></html>","source":"investorplace","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>3 Dividend-Paying Stocks to Buy for Incredible Passive Income in Retirement</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n3 Dividend-Paying Stocks to Buy for Incredible Passive Income in Retirement\n</h2>\n\n<h4 class=\"meta\">\n\n\n2023-04-19 08:00 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://investorplace.com/2023/04/3-dividend-paying-stocks-to-buy-for-incredible-passive-income-in-retirement/><strong>InvestorPlace</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>These dividend-paying stocks are certainly worth a look for investors looking to create a true stream of passive income.Realty Income (O): The company’s 2022 full-year financial reports were rock-...</p>\n\n<a href=\"https://investorplace.com/2023/04/3-dividend-paying-stocks-to-buy-for-incredible-passive-income-in-retirement/\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"O":"Realty Income Corp","PFE":"辉瑞","DVN":"德文能源"},"source_url":"https://investorplace.com/2023/04/3-dividend-paying-stocks-to-buy-for-incredible-passive-income-in-retirement/","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1128824057","content_text":"These dividend-paying stocks are certainly worth a look for investors looking to create a true stream of passive income.Realty Income (O): The company’s 2022 full-year financial reports were rock-solid.Devon Energy (DVN): Devon plans to distribute up to 50% of its cash flows from oil in 2023.Pfizer (PFE): This is an excellent choice for dividend-oriented investors who possess considerable patience.In a world where so many individuals have the goal of making their money work for them, investors look to dividend-paying stocks to create a stream of passive income for retirementSounds great, right? Buy stocks now that will eventually appreciate over time, and create an income stream that should also theoretically grow alongside said earnings. Many long-term investors are always on the hunt for these “golden geese”.That said, for those looking to add exposure to dividend-paying stocks, obviously not all are created equal. Some may have distributions that are unsustainable, while others may lack the kind of growth that’s necessary to sustain dividend increases to keep pace with inflation over time.Accordingly, the dividend-paying stocks investors choose must have solid financial prospects, and a core business model that’s resilient to disruption. Here are three great options on my radar right now.Realty Income Corporation (O)First on this list of dividend-paying stocks to buy is Realty Income Corporation (NYSE: O), a real estate investment trust specializing in acquiring and owning commercial properties across the United States. With a portfolio primarily composed of essential goods and services, Realty Income is in a solid position to profit from the resurgence of the retail real estate market.Most annualized rental revenue for this particular real estate investment trust come from retail tenants whose businesses offer services, essential goods, or low-priced products. Additionally, the trust has a well-diversified portfolio encompassing various tenants, industries, geographic locations, and property types.Realty Income’s external growth appears promising due to its successful acquisitions and development projects. In 2022, the company invested a substantial amount of $8.9 billion towards 1,301 properties, which included properties under expansion or development.Realty Income has an extensive record of raising dividends, earning it the trademarked title of “The Monthly Dividend Company” due to their monthly dividend payments. Although the Covid-19 recession was brief, lasting only two months, it resulted in very few companies increasing their dividends during that period. However, during the more significant Great Recession of 2007-2009, Realty Income increased its monthly dividend thrice.O is currently traded at a reasonable multiple of 15.4-times 2022 Funds from Operation (FFO) per share, which is typical for a high-quality real estate investment trust. In addition, the stock boasts an impressive dividend yield of 4.9%, nearly three times higher than the S&P 500 average. Realty Income should be seen as a solid, conservative choice for a core holding for any income-focused investor.Devon Energy (DVN)Devon Energy (NYSE: DVN), a hydrocarbon exploration company based in Oklahoma City, Oklahoma, is among the best dividend growth stocks available due to its underlying relevance. For passive income investors, Devon provides an impressive forward yield of 6.63%, surpassing the average yield of the energy sector, which stands at 4.24%. Despite having a relatively elevated payout ratio of 51.68%, Devon’s dividend payout remains manageable.Potential investors in Devon Energy can take advantage of a possible bargaining opportunity. Presently, the market values DVN stock at a trailing multiple of 5.2-times earnings. This places the company ahead of 61.9% of competitors, when considering discounted earnings. Thus, Devon trades at a forward multiple of 6.7-times, ranking the company better than 60% of the industry.In the company’s Q4 and full-year 2022 results press release, Devon Energy revealed a fixed dividend increase of 11% for 2023. Devon also plans to allocate $3.6 billion to $3.8 billion toward capital expenditures. This is due to the temporary installation of a fourth frac that expanded in its Delaware Basin during the quarter.Devon Energy is highly-effective in its operations, with a five-year earnings growth rate of 54.3%, surpassing 86% of its competitors. In addition, its net margin stands at 31.38%, higher than 83% of its sector. Moreover, analysts covering the company have designated DVN as a consensus moderate buy, with an average price target of $67.69 indicating a potential upside of over 22%.Pfizer (PFE)Last on our list of dividend-paying stocks to buy is none other than biotech giant Pfizer (NYSE: PFE).There are several reasons investors should consider buying today, the most significant being its current plan to acquire Seagen. The acquisition, announced on Mar. 13, will see Pfizer purchasing the oncology drug developer for $43 billion in cash, with the funding generated from new debt. Seagen’s product portfolio is expected to generate $2.2 billion in revenue this year. By 2030, it is projected to generate approximately $10 billion in annual revenue, making it a lucrative investment for Pfizer.Indeed, Pfizer’s acquisition of Seagen will take time to impact the company’s revenue, as its sales guidance for 2023 is already high at up to $71 billion. However, the acquisition is expected to position Pfizer as a significant player in the oncology industry. Seagen’s product portfolio will bring in around $10 billion in annual revenue by 2030.Investors may be cautious about investing in PFE stock due to the expected decrease in vaccine demand. However, Pfizer’s coronavirus vaccine has boosted the company’s financials, providing new avenues and possibilities. Its management team is projecting non-coronavirus sales of approximately one billion dollars by 2030, representing a solid 7% growth from 2019. Additionally, analysts predict sales will increase 74.6% from 2019 estimates by fiscal 2024.","news_type":1},"isVote":1,"tweetType":1,"viewCount":587,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9944601522,"gmtCreate":1681812010567,"gmtModify":1681812014271,"author":{"id":"4134278158747952","authorId":"4134278158747952","name":"LimBT","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false,"idStr":"4134278158747952","authorIdStr":"4134278158747952"},"themes":[],"htmlText":"Ok","listText":"Ok","text":"Ok","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":13,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/9944601522","repostId":"1105793919","repostType":4,"isVote":1,"tweetType":1,"viewCount":636,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9944601250,"gmtCreate":1681812000670,"gmtModify":1681812004060,"author":{"id":"4134278158747952","authorId":"4134278158747952","name":"LimBT","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false,"idStr":"4134278158747952","authorIdStr":"4134278158747952"},"themes":[],"htmlText":"Ok","listText":"Ok","text":"Ok","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/9944601250","repostId":"1157801261","repostType":4,"repost":{"id":"1157801261","kind":"news","weMediaInfo":{"introduction":"Dow Jones publishes the world’s most trusted business news and financial information in a variety of media.","home_visible":1,"media_name":"Dow Jones","id":"1012688067","head_image":"https://static.tigerbbs.com/150f88aa4d182df19190059f4a365e99"},"pubTimestamp":1681807953,"share":"https://ttm.financial/m/news/1157801261?lang=&edition=fundamental","pubTime":"2023-04-18 16:52","market":"us","language":"en","title":"Bank of America, Goldman Sachs, J&J, Netflix, And More: U.S. Stocks To Watch","url":"https://stock-news.laohu8.com/highlight/detail?id=1157801261","media":"Dow Jones","summary":"Stock futures pointed mostly higher Tuesday with earnings reports coming from the likes of Bank of A","content":"<html><head></head><body><p>Stock futures pointed mostly higher Tuesday with earnings reports coming from the likes of Bank of America, Goldman Sachs, and Johnson &amp; Johnson, and as China’s economy rebounded at a faster-than-expected pace in the first quarter.</p><p style=\"text-align: start;\">These stocks were poised to make moves Tuesday: </p><p><a href=\"https://laohu8.com/S/BAC\">Bank of America </a> is scheduled to report first-quarter earnings before the stock market opens. Analysts surveyed by FactSet expect BofA to report earnings of 81 cents a share vs. 80 cents a year earlier. Like other banks, the company is forecast to see a surge in net interest income thanks to the Federal Reserve’s interest-rate hikes over the past year. The stock rose 0.8% in premarket trading.</p><p><a href=\"https://laohu8.com/S/GS\">Goldman Sachs </a> also is expected to report first-quarter earnings before Wall Street opens for trading. The results from both Bank of America and Goldman will be scrutinized by investors for what they say about dynamics in the embattled banking sector as well as the health of the wider U.S. economy. Goldman Sachs was up 1.1%.</p><p><a href=\"https://laohu8.com/S/JNJ\">Johnson &amp; Johnson </a> also will report quarterly earnings before the opening bell. Ahead of the report, which could bring news about Kenvue, the soon-to-be split off consumer health division, and on talc litigation, the stock rose slightly.</p><p><a href=\"https://laohu8.com/S/LMT\">Lockheed Martin </a> and Bank of New York Mellon (BK) also are scheduled to report earnings before trading begins Tuesday.</p><p><a href=\"https://laohu8.com/S/NFLX\">Netflix </a> remains the clear leader in the streaming video market. But Netflix has been struggling to show meaningful growth. Wall Street will get an update from Netflix when it reports first-quarter earnings after the stock market closes. Netflix was up 0.6%.</p><p><a href=\"https://laohu8.com/S/UAL\">United Airlines </a> reports first-quarter earnings after Wall Street closes Tuesday. United’s reports follows last week’s update from fellow carrier Delta Air Lines (DAL), which reported first-quarter adjusted earnings that missed analysts’ estimates but said its outlook for the second quarter was “strong.”</p><p>American depositary receipts of <a href=\"https://laohu8.com/S/ERIC\">Ericsson </a> fell 4% in premarket trading after the Swedish telecommunications company said it expects the operating environment in 2023 to remain “choppy” this year following first-quarter earnings that fell from a year earlier.</p><p><a href=\"https://laohu8.com/S/JBHT\">J.B. Hunt Transport Services </a> reported first-quarter earnings that missed Wall Street estimates as revenue declined 7% on weaker freight volumes.</p></body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Bank of America, Goldman Sachs, J&J, Netflix, And More: U.S. Stocks To Watch</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nBank of America, Goldman Sachs, J&J, Netflix, And More: U.S. Stocks To Watch\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1012688067\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/150f88aa4d182df19190059f4a365e99);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Dow Jones </p>\n<p class=\"h-time\">2023-04-18 16:52</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<html><head></head><body><p>Stock futures pointed mostly higher Tuesday with earnings reports coming from the likes of Bank of America, Goldman Sachs, and Johnson &amp; Johnson, and as China’s economy rebounded at a faster-than-expected pace in the first quarter.</p><p style=\"text-align: start;\">These stocks were poised to make moves Tuesday: </p><p><a href=\"https://laohu8.com/S/BAC\">Bank of America </a> is scheduled to report first-quarter earnings before the stock market opens. Analysts surveyed by FactSet expect BofA to report earnings of 81 cents a share vs. 80 cents a year earlier. Like other banks, the company is forecast to see a surge in net interest income thanks to the Federal Reserve’s interest-rate hikes over the past year. The stock rose 0.8% in premarket trading.</p><p><a href=\"https://laohu8.com/S/GS\">Goldman Sachs </a> also is expected to report first-quarter earnings before Wall Street opens for trading. The results from both Bank of America and Goldman will be scrutinized by investors for what they say about dynamics in the embattled banking sector as well as the health of the wider U.S. economy. Goldman Sachs was up 1.1%.</p><p><a href=\"https://laohu8.com/S/JNJ\">Johnson &amp; Johnson </a> also will report quarterly earnings before the opening bell. Ahead of the report, which could bring news about Kenvue, the soon-to-be split off consumer health division, and on talc litigation, the stock rose slightly.</p><p><a href=\"https://laohu8.com/S/LMT\">Lockheed Martin </a> and Bank of New York Mellon (BK) also are scheduled to report earnings before trading begins Tuesday.</p><p><a href=\"https://laohu8.com/S/NFLX\">Netflix </a> remains the clear leader in the streaming video market. But Netflix has been struggling to show meaningful growth. Wall Street will get an update from Netflix when it reports first-quarter earnings after the stock market closes. Netflix was up 0.6%.</p><p><a href=\"https://laohu8.com/S/UAL\">United Airlines </a> reports first-quarter earnings after Wall Street closes Tuesday. United’s reports follows last week’s update from fellow carrier Delta Air Lines (DAL), which reported first-quarter adjusted earnings that missed analysts’ estimates but said its outlook for the second quarter was “strong.”</p><p>American depositary receipts of <a href=\"https://laohu8.com/S/ERIC\">Ericsson </a> fell 4% in premarket trading after the Swedish telecommunications company said it expects the operating environment in 2023 to remain “choppy” this year following first-quarter earnings that fell from a year earlier.</p><p><a href=\"https://laohu8.com/S/JBHT\">J.B. Hunt Transport Services </a> reported first-quarter earnings that missed Wall Street estimates as revenue declined 7% on weaker freight volumes.</p></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"GS":"高盛","JNJ":"强生","BAC":"美国银行","NFLX":"奈飞"},"source_url":"","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1157801261","content_text":"Stock futures pointed mostly higher Tuesday with earnings reports coming from the likes of Bank of America, Goldman Sachs, and Johnson & Johnson, and as China’s economy rebounded at a faster-than-expected pace in the first quarter.These stocks were poised to make moves Tuesday: Bank of America  is scheduled to report first-quarter earnings before the stock market opens. Analysts surveyed by FactSet expect BofA to report earnings of 81 cents a share vs. 80 cents a year earlier. Like other banks, the company is forecast to see a surge in net interest income thanks to the Federal Reserve’s interest-rate hikes over the past year. The stock rose 0.8% in premarket trading.Goldman Sachs  also is expected to report first-quarter earnings before Wall Street opens for trading. The results from both Bank of America and Goldman will be scrutinized by investors for what they say about dynamics in the embattled banking sector as well as the health of the wider U.S. economy. Goldman Sachs was up 1.1%.Johnson & Johnson  also will report quarterly earnings before the opening bell. Ahead of the report, which could bring news about Kenvue, the soon-to-be split off consumer health division, and on talc litigation, the stock rose slightly.Lockheed Martin  and Bank of New York Mellon (BK) also are scheduled to report earnings before trading begins Tuesday.Netflix  remains the clear leader in the streaming video market. But Netflix has been struggling to show meaningful growth. Wall Street will get an update from Netflix when it reports first-quarter earnings after the stock market closes. Netflix was up 0.6%.United Airlines  reports first-quarter earnings after Wall Street closes Tuesday. United’s reports follows last week’s update from fellow carrier Delta Air Lines (DAL), which reported first-quarter adjusted earnings that missed analysts’ estimates but said its outlook for the second quarter was “strong.”American depositary receipts of Ericsson  fell 4% in premarket trading after the Swedish telecommunications company said it expects the operating environment in 2023 to remain “choppy” this year following first-quarter earnings that fell from a year earlier.J.B. Hunt Transport Services  reported first-quarter earnings that missed Wall Street estimates as revenue declined 7% on weaker freight volumes.","news_type":1},"isVote":1,"tweetType":1,"viewCount":706,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9944056223,"gmtCreate":1681642223063,"gmtModify":1681642226480,"author":{"id":"4134278158747952","authorId":"4134278158747952","name":"LimBT","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false,"idStr":"4134278158747952","authorIdStr":"4134278158747952"},"themes":[],"htmlText":"Ok","listText":"Ok","text":"Ok","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":15,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/9944056223","repostId":"1139037383","repostType":4,"isVote":1,"tweetType":1,"viewCount":635,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9944056698,"gmtCreate":1681642213115,"gmtModify":1681642217347,"author":{"id":"4134278158747952","authorId":"4134278158747952","name":"LimBT","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false,"idStr":"4134278158747952","authorIdStr":"4134278158747952"},"themes":[],"htmlText":"Ok","listText":"Ok","text":"Ok","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":4,"commentSize":1,"repostSize":0,"link":"https://ttm.financial/post/9944056698","repostId":"2327801084","repostType":4,"repost":{"id":"2327801084","kind":"highlight","pubTimestamp":1681617024,"share":"https://ttm.financial/m/news/2327801084?lang=&edition=fundamental","pubTime":"2023-04-16 11:50","market":"us","language":"en","title":"Want $1 Million in Retirement? Invest $295,000 in These 3 Stocks and Wait a Decade","url":"https://stock-news.laohu8.com/highlight/detail?id=2327801084","media":"Motley Fool","summary":"Just a few extra percentage points of outperformance can make a huge difference over the long haul.","content":"<html><head></head><body><p>Being a millionaire is a goal for many people, and one of the best ways to achieve it is by investing in the stock market. While the long-term average return of the market hovers around 10%, if you can pinpoint stocks that can outperform the market by 3% annually, you can shave off a tremendous amount of the time (or capital) it takes to become a millionaire.</p><p>Starting with $100,000 it would take 24.1 years to reach $1 million with a 10% return. However, it only takes 18.8 years if you can achieve a 13% annualized return.</p><p>So let&#39;s look at some stocks that could provide that extra couple percent return and help you turn $295,000 into $1 million by waiting a decade and returning 13%.</p><h2>1. Alphabet</h2><p>First is the tech giant <strong>Alphabet</strong>. Alphabet has its hands all over the tech space, including advertising, cloud computing, smartphones, and artificial intelligence (AI). While its revenue is currently concentrated heavily into primary brands like the Google search engine and YouTube, these other areas will allow Alphabet to diversify and rapidly grow revenue.</p><p>Advertising revenue has historically been cyclical, as it falls leading up to an economic downturn. That&#39;s the current market state, as Alphabet&#39;s revenue only grew 1% in Q4. Weak growth and massive hiring (Alphabet is scooping up a ton of software engineers for AI) caused its earnings to plummet, with 2022&#39;s earnings coming in at $4.56 per share, down from $5.61 per share last year.</p><p>However, this isn&#39;t likely to last. Wall Street analysts expect rapid earnings growth over the next few years.</p><table style=\"border-collapse:collapse;\"><tbody><tr><th style=\"text-align:left;\"><p>Year</p></th><th style=\"text-align:left;\"><p>Earnings Per Share Forecast</p></th><th style=\"text-align:left;\"><p>YOY Growth</p></th></tr><tr><td style=\"text-align:left;\"><p>2023</p></td><td style=\"text-align:left;\"><p>$5.11</p></td><td style=\"text-align:left;\"><p>12.1%</p></td></tr><tr><td style=\"text-align:left;\"><p>2024</p></td><td style=\"text-align:left;\"><p>$6.04</p></td><td style=\"text-align:left;\"><p>18.2%</p></td></tr><tr><td style=\"text-align:left;\"><p>2025</p></td><td style=\"text-align:left;\"><p>$7.80</p></td><td style=\"text-align:left;\"><p>29.1%</p></td></tr><tr><td style=\"text-align:left;\"><p>2026</p></td><td style=\"text-align:left;\"><p>$8.52</p></td><td style=\"text-align:left;\"><p>9.2%</p></td></tr></tbody></table><p>Data source: Nasdaq. YOY = Year over Year.</p><p>With Alphabet projected to grow earnings solidly throughout the next four years, its stock price will follow suit as financial performance drives long-term performance. You can scoop up the stock today for 23 times earnings, a bargain for a company that is set to rebound rapidly from its current state.</p><h2>2. CrowdStrike</h2><p>While returning at least 13% is the goal for this trio, I think a 13% return over the next decade would be a poor showing for <strong>CrowdStrike</strong>. CrowdStrike is a leader in endpoint cybersecurity solutions, which protect devices like laptops and cellphones. Cyberattacks are expected to ramp up over the coming decade and businesses must establish some form of protection, making CrowdStrike a key beneficiary of this trend.</p><p>This has played out well in CrowdStrike&#39;s financials, with its annual recurring revenue rising 48% to $2.56 billion during FY 2023 (ending Jan. 31). While it hasn&#39;t achieved full profitability yet, it is free-cash-flow (FCF) positive, turning 33% of revenue into FCF during Q4.</p><p>With Wall Street analysts estimating 33.9% revenue growth in FY 2024 and 29.1% in FY 2025, CrowdStrike&#39;s expansion should propel its stock performance. The tailwinds in this space are just too strong to deny, and CrowdStrike is poised to deliver at least 13% annualized returns over the next decade.</p><h2>3. <a href=\"https://laohu8.com/S/MELI\">MercadoLibre</a></h2><p>E-commerce has transformed how Americans shop and do business. The same goes for digital payment infrastructure. With these systems&#39; convenience, it makes sense that companies are bringing this technology to the rest of the world. <strong>MercadoLibre</strong> is doing just that in Latin America.</p><p>With its e-commerce platform and digital payments system, MercadoLibre has a stake in just about every step of the commerce process. This has worked out tremendously for the company, with revenue growing rapidly over the past decade.</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/a42ab5d418b996fdf36e5ab6dac4be79\" tg-width=\"720\" tg-height=\"449\"/></p><p>MELI Revenue (TTM) data by YCharts</p><p>Despite this performance and strong growth, MercadoLibre&#39;s stock is valued at 6.2 times sales, although its average valuation over the past decade is 11.3. </p><p>The e-commerce revolution in Latin America is far from complete, and MercadoLibre stands to cash in on this transition over the coming decade. With shares trading well below its historical average, there have seldom been better times to establish a position in the stock.</p><p>Before you dump your entire portfolio into this trio, remember that a well-diversified portfolio is comprised of at least 25 stocks. Identifying other stocks with market-beating potential is critical because you&#39;ll be wrong on some. However, I think the trio of Alphabet, CrowdStrike, and MercadoLibre is a great place to start.</p></body></html>","source":"fool_stock","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Want $1 Million in Retirement? Invest $295,000 in These 3 Stocks and Wait a Decade</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nWant $1 Million in Retirement? Invest $295,000 in These 3 Stocks and Wait a Decade\n</h2>\n\n<h4 class=\"meta\">\n\n\n2023-04-16 11:50 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://www.fool.com/investing/2023/04/15/want-1-million-in-retirement-invest-295000-in-thes/><strong>Motley Fool</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Being a millionaire is a goal for many people, and one of the best ways to achieve it is by investing in the stock market. While the long-term average return of the market hovers around 10%, if you ...</p>\n\n<a href=\"https://www.fool.com/investing/2023/04/15/want-1-million-in-retirement-invest-295000-in-thes/\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"GOOG":"谷歌","CRWD":"CrowdStrike Holdings, Inc.","MELI":"MercadoLibre","GOOGL":"谷歌A"},"source_url":"https://www.fool.com/investing/2023/04/15/want-1-million-in-retirement-invest-295000-in-thes/","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2327801084","content_text":"Being a millionaire is a goal for many people, and one of the best ways to achieve it is by investing in the stock market. While the long-term average return of the market hovers around 10%, if you can pinpoint stocks that can outperform the market by 3% annually, you can shave off a tremendous amount of the time (or capital) it takes to become a millionaire.Starting with $100,000 it would take 24.1 years to reach $1 million with a 10% return. However, it only takes 18.8 years if you can achieve a 13% annualized return.So let's look at some stocks that could provide that extra couple percent return and help you turn $295,000 into $1 million by waiting a decade and returning 13%.1. AlphabetFirst is the tech giant Alphabet. Alphabet has its hands all over the tech space, including advertising, cloud computing, smartphones, and artificial intelligence (AI). While its revenue is currently concentrated heavily into primary brands like the Google search engine and YouTube, these other areas will allow Alphabet to diversify and rapidly grow revenue.Advertising revenue has historically been cyclical, as it falls leading up to an economic downturn. That's the current market state, as Alphabet's revenue only grew 1% in Q4. Weak growth and massive hiring (Alphabet is scooping up a ton of software engineers for AI) caused its earnings to plummet, with 2022's earnings coming in at $4.56 per share, down from $5.61 per share last year.However, this isn't likely to last. Wall Street analysts expect rapid earnings growth over the next few years.YearEarnings Per Share ForecastYOY Growth2023$5.1112.1%2024$6.0418.2%2025$7.8029.1%2026$8.529.2%Data source: Nasdaq. YOY = Year over Year.With Alphabet projected to grow earnings solidly throughout the next four years, its stock price will follow suit as financial performance drives long-term performance. You can scoop up the stock today for 23 times earnings, a bargain for a company that is set to rebound rapidly from its current state.2. CrowdStrikeWhile returning at least 13% is the goal for this trio, I think a 13% return over the next decade would be a poor showing for CrowdStrike. CrowdStrike is a leader in endpoint cybersecurity solutions, which protect devices like laptops and cellphones. Cyberattacks are expected to ramp up over the coming decade and businesses must establish some form of protection, making CrowdStrike a key beneficiary of this trend.This has played out well in CrowdStrike's financials, with its annual recurring revenue rising 48% to $2.56 billion during FY 2023 (ending Jan. 31). While it hasn't achieved full profitability yet, it is free-cash-flow (FCF) positive, turning 33% of revenue into FCF during Q4.With Wall Street analysts estimating 33.9% revenue growth in FY 2024 and 29.1% in FY 2025, CrowdStrike's expansion should propel its stock performance. The tailwinds in this space are just too strong to deny, and CrowdStrike is poised to deliver at least 13% annualized returns over the next decade.3. MercadoLibreE-commerce has transformed how Americans shop and do business. The same goes for digital payment infrastructure. With these systems' convenience, it makes sense that companies are bringing this technology to the rest of the world. MercadoLibre is doing just that in Latin America.With its e-commerce platform and digital payments system, MercadoLibre has a stake in just about every step of the commerce process. This has worked out tremendously for the company, with revenue growing rapidly over the past decade.MELI Revenue (TTM) data by YChartsDespite this performance and strong growth, MercadoLibre's stock is valued at 6.2 times sales, although its average valuation over the past decade is 11.3. The e-commerce revolution in Latin America is far from complete, and MercadoLibre stands to cash in on this transition over the coming decade. With shares trading well below its historical average, there have seldom been better times to establish a position in the stock.Before you dump your entire portfolio into this trio, remember that a well-diversified portfolio is comprised of at least 25 stocks. Identifying other stocks with market-beating potential is critical because you'll be wrong on some. However, I think the trio of Alphabet, CrowdStrike, and MercadoLibre is a great place to start.","news_type":1},"isVote":1,"tweetType":1,"viewCount":919,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0}],"defaultTab":"followers","isTTM":true}