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ARTIFICIAL_INTELIGENCE

Nvidia's Stellar Rise Amidst the AI Gold Rush Nvidia, the tech giant renowned for its high-performance graphics processing units (GPUs), has been riding a wave of unprecedented success. As the world dives deeper into the realm of artificial intelligence (AI), Nvidia's GPUs have become the indispensable hardware powering the most advanced AI models. This surge in demand has propelled Nvidia's stock to new heights, solidifying its position as a leader in the semiconductor industry. The AI Revolution Drives Demand The rapid advancements in AI technology have created a voracious appetite for computing power. Nvidia's GPUs, originally designed for rendering complex graphics, have proven to be remarkably efficient at handling the intensive calculations required for training and running AI models. Their parallel processing architecture allows them to perform multiple tasks simultaneously, making them ideal for the demanding workloads associated with AI. As AI applications continue to expand across various industries, from healthcare and finance to autonomous vehicles and customer service, the demand for high-performance GPUs has skyrocketed. Companies like OpenAI, Meta, and Google are investing heavily in AI research and development, and Nvidia's GPUs have become a critical component of their infrastructure. Nvidia's Strategic Moves Nvidia has been proactive in capitalizing on the AI boom. The company has made significant investments in research and development to enhance its GPU technology and expand its product offerings. In addition to its traditional gaming GPUs, Nvidia has introduced specialized AI accelerators, such as the A100 and H100, which are optimized for AI workloads. Furthermore, Nvidia has been expanding its ecosystem through partnerships and acquisitions. The company has collaborated with major cloud providers like Amazon Web Services, Microsoft Azure, and Google Cloud Platform to offer AI services based on its GPUs. This has made it easier for developers and businesses to access and utilize AI capabilities. Challenges and Opportunities While Nvidia's prospects appear bright, the company faces certain challenges. The semiconductor industry is cyclical, and there is a risk of a slowdown in demand for GPUs if the AI market experiences a correction. Additionally, competition from other chip manufacturers, such as AMD and Intel, is intensifying. However, the long-term outlook for AI remains positive, and Nvidia's strong market position and technological leadership give it a significant advantage. As AI continues to penetrate various sectors, the demand for high-performance computing power is likely to grow, providing ample opportunities for Nvidia to expand its business. Conclusion Nvidia's success story is a testament to the transformative power of AI. The company's ability to leverage its GPU technology to meet the demands of the AI revolution has propelled it to the forefront of the semiconductor industry. As AI continues to evolve and reshape the world, Nvidia is well-positioned to capitalize on the growing market and maintain its leadership position.
NASDAQ:NVDALong
by bryandowningqln
Just put like, now, i deserve it! EVEAIIf you followed me in my previous posts, you have made very good profits. For example, i gave you 8x on MYRO in around 7 weeks. Now, i am giving you another crazy setup here. EVEAI Looks ready to explode and you can see yourself that it's exactly following my setup (red line). The first time i gave you EVEAI, it double in some hrs, we sold it, and now we entered again at the bottom. I think we will see an easy 3x there in some weeks. $0.24 is the first target, but we can see a possible 10x in some months. We are just at the beginning
UNISWAP:EVEAIWETH_908D60.USDLong
by SaliJournal
AI Project Ready to ExplodeMatrix AI (MAN) has completed the Cup formation on the daily logarithmic chart, with USDT as the trading pair, and has successfully retested. It is also scheduled to be listed on the Biconomy exchange on April 2, 2024. MAN has the advantage of not yet being listed on major exchanges such as Binance, Coinbase, and Okex. MAN is a real and experienced artificial intelligence project with a relatively low price considering its circulating supply. Therefore, it is still not too late to invest in this project.
by Atilla_Tunc
1
Do you need a NEW AI & DPIN coin to ride up?I got you.... $28M mcap "Intelligent and Secure Messaging Keeping You Informed and Connected. Dmail Network is an AI-powered decentralized communication infrastructure built to provide encrypted emails, unified notifications, and targeted marketing across multiple chains and dApps for users, developers, and marketers." Technically looking quite good as well We have unresolved inv Head & Shoulders tgt still to be tagged and a beautiful Hunt Volatility funnel already triggered Obviously $1 is a key level to overcome
DLong
by BallaJi
Investing In Artificial Intelligence (AI) : Beginner’s GuideThe field of artificial intelligence (AI) has emerged as a highly attractive investment option, captivating the attention of investors worldwide. With its capacity to reshape industries and drive innovation, AI has gained prominence as a transformative technology. By simulating human intelligence and performing intricate tasks, AI is revolutionizing sectors ranging from transportation to finance and beyond. Given the rapid growth of the AI market, which is projected to reach revenues of up to $900 billion by 2026, having a comprehensive understanding of how to invest in this dynamic field has become crucial for investors. In this comprehensive guide tailored for beginners, we will delve into the fundamentals of AI, exploring its underlying concepts, methodologies, and applications across various industries. By gaining insight into the inner workings of AI, investors can grasp the potential impact it can have on different sectors, enabling them to identify promising investment opportunities. Moreover, we will examine diverse investment strategies that investors can consider when venturing into the AI market. These strategies will encompass a range of approaches, from investing in established AI companies and technology giants, to exploring opportunities in startups and early-stage ventures that are driving innovation in the AI space. Additionally, we will explore investment vehicles such as AI-focused exchange-traded funds (ETFs) and mutual funds, providing investors with a broader exposure to the AI market. Throughout this guide, we will address the key factors to consider when investing in AI, including the evaluation of AI technologies, understanding regulatory and ethical implications, and staying updated with the latest industry trends. By equipping investors with the necessary knowledge and insights, this guide aims to empower them to make informed investment decisions in the dynamic and evolving landscape of AI. As AI continues to redefine industries and shape the future, investing in this transformative technology presents an exciting opportunity for investors seeking long-term growth and exposure to cutting-edge innovation. Through this beginner's guide, we invite investors to embark on a journey into the world of AI investment, unlocking the potential for both financial returns and contributions to the advancement of society as a whole. Artificial Intelligence (AI) Explained Artificial Intelligence (AI) has emerged as a groundbreaking technology that aims to replicate human intelligence in computers and machines, surpassing human capabilities in terms of speed and accuracy. Leading companies like Microsoft (MSFT) and Google (GOOGL) utilize AI to develop systems capable of problem-solving, answering inquiries, and executing tasks that were traditionally performed by humans. The advancement of AI systems has expanded their applications across diverse industries and sectors. One notable transformation is occurring in the transportation industry, where electric and autonomous vehicles are revolutionizing travel and poised to contribute trillions of dollars to the global economy. In the banking sector, AI is employed to enhance decision-making processes in high-speed trading, automate back-office functions such as risk management, and even introduce humanoid robots in branches to reduce costs. These examples only scratch the surface of the extensive range of AI applications. Analysts at International Data Corp. (IDC), a renowned market intelligence provider, project that the AI market will generate global revenues of up to $900 billion by 2026. This estimate reflects a significant compound annual growth rate of 18.6 percent from 2022 to 2026, underscoring the exponential growth potential of AI. What was once considered a luxury has now become an essential component of modern businesses. The global pandemic has accelerated the adoption of AI, making it pervasive across all aspects of business operations. From healthcare and manufacturing to finance and customer service, AI has demonstrated its value in enhancing efficiency, optimizing processes, and driving innovation. Investing in AI presents an opportunity to capitalize on its transformative potential. However, it is essential for investors to approach AI investments with a thorough understanding of the technology, its applications, and the companies leading the way. As AI continues to shape industries and redefine the future, investors who navigate this dynamic landscape stand to benefit from its long-term growth and the potential for significant returns. How To Invest In Artificial Intelligence As a retail investor, you may already have exposure to artificial intelligence (AI) through various prominent U.S. public companies that utilize AI or invest in this technology. However, if you're specifically interested in investing in AI, there are several approaches you can consider: Individual Stocks: Conduct thorough research and invest directly in companies that specialize in AI development, application, or integration. Look for companies with a strong focus on AI, a robust research and development program, and a history of innovation in the field. Exchange-Traded Funds (ETFs): Explore AI-focused ETFs that concentrate on companies involved in AI technologies. These funds offer diversification by investing in a portfolio of AI-related stocks, providing exposure to a broad range of companies in the AI sector. Index Funds: Invest in broad market index funds that include leading companies at the forefront of AI development. These funds track major market indices like the S&P 500, which often include prominent players in the AI industry. Additionally, Contract for Difference (CFD) trading is another option for investing in AI. CFDs allow you to speculate on the price movements of AI-related assets without actually owning the underlying assets. By taking long or short positions, you can potentially profit from both upward and downward price movements in the AI sector. However, it's important to note that CFD trading carries a higher level of risk and requires a good understanding of market dynamics. Top AI Stocks To Consider: Microsoft (MSFT) As of May 2023, Microsoft, the renowned developer of the Windows operating system, holds the position of the largest Artificial Intelligence (AI) company. In recent times, Microsoft has made significant strides in the field of AI, unveiling a range of new features and initiatives across its product line. One notable development is the integration of AI-powered enhancements into Edge, Microsoft's web browser. These enhancements leverage AI technology to provide users with improved browsing experiences, including enhanced performance, personalized recommendations, and advanced security features. Furthermore, Microsoft has incorporated AI capabilities into Bing, its search engine. The integration of AI allows Bing to deliver more accurate and relevant search results, enhancing the overall search experience for users. Highlighting its commitment to AI, Microsoft announced a substantial investment in OpenAI, the creator of ChatGPT, a widely used language model. This multiyear and multibillion-dollar partnership have resulted in the deployment of OpenAI models across Microsoft's product range, including the Azure OpenAI Service. Additionally, Microsoft's Azure cloud platform serves as the exclusive provider for OpenAI's cloud-based services. By investing in OpenAI and integrating AI capabilities into its products and services, Microsoft aims to harness the power of AI to deliver innovative solutions and enhance user experiences. This strategic focus on AI demonstrates Microsoft's recognition of the transformative potential of this technology and its dedication to remaining at the forefront of the AI industry. Tesla (TSLA) In the realm of electric vehicles (EVs), Tesla stands apart from technology giants like Microsoft and Alphabet by leveraging AI and robotics to drive innovation. The company has positioned itself as a leader in self-driving cars, an area heavily reliant on AI for tasks such as visual processing and strategic planning. Tesla is actively pursuing the development of self-driving technology and has been working on AI inference chips that are specifically designed to run its full self-driving software (FSD). These chips enable efficient and powerful processing capabilities, enabling Tesla vehicles to make real-time decisions and navigate autonomously. Beyond self-driving vehicles, Tesla has expanded its AI endeavors into the realm of humanoid robots. In October 2022, CEO Elon Musk unveiled "Optimus," a highly anticipated robot. Musk envisions a future where Tesla's robot business surpasses the value of its cars, indicating a broader ambition to extend beyond the automotive industry. In addition to self-driving technology and robotics, Tesla is actively involved in various AI fields. This includes the development of Dojo chips and systems, which aim to enhance AI training and accelerate computational processes. Tesla also focuses on neural networks, autonomy algorithms, code foundations, and evaluation infrastructure to continuously improve and refine its AI capabilities. By applying AI and robotics to the EV industry, Tesla is at the forefront of technological advancements and aims to shape the future of transportation. Its commitment to developing cutting-edge AI solutions demonstrates the company's dedication to pushing the boundaries of innovation and redefining the possibilities within the automotive industry. IBM (IBM) In May 2023, IBM, a computing giant with a long-standing history in the technology industry, made a significant announcement regarding its platform called Watsonx. This platform is designed to empower developers by providing them with a comprehensive set of tools for creating AI models. Watsonx equips developers with machine learning tools, foundational models, hardware resources, and data storage capabilities, enabling them to build sophisticated AI applications. By offering a range of resources within a unified platform, IBM aims to streamline the AI development process and make it more accessible to developers. In collaboration with Hugging Face, a prominent provider of open-source AI libraries, IBM has integrated the benefits of Hugging Face's libraries and extensive collection of open models and datasets into the Watsonx.ai studio. This collaboration allows developers to leverage Hugging Face's resources and tap into a vast array of pre-trained models and datasets, accelerating the development of AI solutions. Beyond its AI offerings, IBM has been actively involved in AI integration research. The company's Global AI Adoption Index explores the impact of AI adoption on businesses and society as a whole. This research initiative aims to provide insights into the current state of AI adoption, identify trends, and understand the potential implications of AI on various industries and sectors. IBM's commitment to advancing AI technology, as demonstrated by its Watsonx platform and research initiatives, highlights the company's ongoing efforts to drive innovation and facilitate the integration of AI into diverse domains. By empowering developers and exploring the broader implications of AI adoption, IBM continues to play a significant role in shaping the future of artificial intelligence. Alphabet (GOOGL) Alphabet, the parent company of Google, has been actively investing in the AI sector, demonstrating its commitment to advancing artificial intelligence technologies. In April, Alphabet's venture capital subsidiary, CapitalG, played a leading role in a $100 million funding round for AlphaSense, an AI startup. This investment not only highlights Alphabet's financial support for AI innovation but also strengthens its presence in the AI industry. In addition to its investment activities, Google, as a part of Alphabet, has made substantial investments in other AI-related companies. For instance, Google has invested approximately $400 million in Anthropic, a competitor to ChatGPT, further expanding its involvement in the AI landscape. Furthermore, Google has acquired Alter, a startup specializing in AI avatars, which showcases its strategic focus on enhancing AI capabilities and exploring new applications for the technology. Within its own product ecosystem, Google has introduced various generative AI tools that leverage the power of artificial intelligence. One notable example is Bard, Google's own counterpart to ChatGPT, which provides real-time access to information from the web. This demonstrates Google's efforts to develop AI models capable of generating dynamic and contextually relevant content. Moreover, Google is incorporating AI functionality into its Workspace suite, starting with popular tools like Gmail and Google Docs. By integrating AI capabilities into these productivity tools, Google aims to enhance user experiences, improve efficiency, and enable new possibilities for collaboration and content generation. Alphabet's investments in AI startups, acquisitions, and the development of generative AI tools highlight the company's dedication to harnessing the potential of artificial intelligence. Through these initiatives, Alphabet continues to shape the AI landscape and drive innovation in the field. Amazon (AMZN) Amazon, a prominent player in the AI field, has established itself as a leader by offering a comprehensive suite of AI and machine learning (ML) services through its cloud computing platform, Amazon Web Services (AWS). AWS provides a wide range of tools and services that empower developers and businesses to integrate AI and ML functionalities into their applications and workflows efficiently. Notably, Amazon not only provides AI services to other businesses but also harnesses AI capabilities within its own operations. For instance, the company employs sophisticated AI algorithms in its online store to deliver personalized product recommendations to customers, creating a more tailored and engaging shopping experience. One of Amazon's most recognizable AI applications is Alexa, the virtual assistant powering Echo devices. Powered by natural language processing and ML algorithms, Alexa can comprehend and respond to user commands, enabling users to interact with their devices using voice commands. This integration of AI technology has revolutionized the way people interact with their smart devices and has become a prominent feature in many households. Amazon's commitment to AI is further evident through its ongoing investments in AI research and development. The company continually seeks to advance AI technologies, exploring new applications and improving existing capabilities. By embracing AI in various aspects of its business, Amazon aims to enhance customer experiences, drive innovation, and remain at the forefront of AI integration in the industry. Oracle (ORCL) Oracle (ORCL), a renowned provider of cloud computing solutions, has emerged as a leading player in the AI landscape by offering the Oracle Cloud Infrastructure. This robust cloud platform serves as the foundation for various workloads, including AI applications, empowering businesses to leverage the benefits of AI technology. Recognizing the growing significance of AI, Oracle has taken steps to enhance its AI capabilities for enterprise customers. Notably, the company has expanded its collaboration with Nvidia, a prominent chipmaker specializing in AI hardware. This strategic partnership allows Oracle to harness the power of Nvidia's advanced AI-focused GPUs (Graphics Processing Units) and other hardware technologies. By integrating Nvidia's hardware into its infrastructure, Oracle aims to deliver enhanced AI performance to its enterprise customers. This collaboration equips businesses with the ability to process vast datasets and execute complex AI algorithms more efficiently, leading to improved insights and outcomes. By leveraging Nvidia's powerful AI hardware, Oracle demonstrates its commitment to providing cutting-edge AI solutions that address the evolving needs of businesses in the era of digital transformation. Through its collaboration with Nvidia and its focus on advancing AI capabilities, Oracle solidifies its position as a leading provider of AI-enabled cloud infrastructure and reinforces its commitment to empowering businesses with the tools and technologies needed to harness the potential of AI in their operations. How To Select The AI Stocks To Invest In : When selecting AI stocks to invest in, it's important to conduct thorough research and consider various factors. Here are some key considerations to help guide your decision-making process: 1) Company's fundamentals: Review the financial health and performance of the company. Analyze its financial statements, including the balance sheet, income statement, and cash flow statement. Look at key indicators such as the price-to-earnings (P/E) ratio, return on equity (ROE), and debt-to-equity (D/E) ratio to assess its profitability and financial stability. 2) Technical analysis: If you're a short-term trader, utilize technical analysis to study price patterns and trends. Use technical indicators and candlestick charts to identify entry and exit points based on historical price movements. 3) Analyst ratings: Consider the latest analyst ratings and commentary on specific stocks. Analyst opinions can provide valuable insights, but keep in mind that they are subjective and should be considered alongside other factors. 4) Latest company news: Stay updated on a company's news and developments. Look for announcements related to AI investments, acquisitions, R&D initiatives, and new product offerings. This information can indicate a company's growth potential and competitive positioning. 5) Competitive landscape: Assess the company's position within the AI industry and its competitive advantage. Consider its technology, market share, and ability to innovate. Evaluate how it compares to other players in the market. 6) Management team: Evaluate the leadership and management team of the company. Look for experienced executives who have a track record of success and a clear vision for the company's future. 7) Industry trends: Stay informed about the latest trends and advancements in the AI industry. Understand how AI is being adopted across different sectors and the potential impact it may have on the company you're considering. 8) Regulatory environment: Consider the regulatory landscape surrounding AI. Assess how regulations and policies may affect the company's operations and growth prospects. 9) Diversification: Manage risk by diversifying your investments across different AI stocks and sectors. This helps mitigate the impact of individual stock performance and provides exposure to a range of opportunities. Conclusion: Investing in AI presents unique opportunities for investors as this cutting-edge technology continues to transform industries and drive innovation. The potential for AI to revolutionize various sectors, enhance efficiency, and create new business models is immense. Whether through individual stock investments, AI-focused ETFs, index funds, or even CFD trading, investors can participate in the AI market and potentially benefit from its growth. However, investing in AI requires careful consideration and research. It is important to understand the fundamentals of AI, including its applications and potential impact on industries. Analyzing company financials, such as balance sheets and income statements, can provide insights into the financial health and long-term potential of AI-focused companies. Staying updated on industry trends, news, and developments is crucial. Monitoring AI-related investments, partnerships, research, and product advancements can help identify companies that are at the forefront of AI innovation. Diversification is also key in AI investing. Spreading investments across different AI stocks, sectors, and geographies can help mitigate risk and capture opportunities in various segments of the AI market. Lastly, it is important to remain informed and adaptable as AI technology continues to evolve. Regularly assessing and adjusting investment strategies based on market conditions and emerging trends is essential to capitalize on the transformative potential of AI. By understanding the fundamentals, conducting thorough research, and staying informed, investors can position themselves to potentially benefit from the growth and impact of AI in the years to come.
NASDAQ:TSLAEducation
by FOREXN1
10
Growth of at least ➕35% ChainGPT(CGPT)by Falling Wedge pattern🚀The ChainGPT was able to complete the falling wedge pattern near the support zone. ChainGPT broke the upper line of the falling wedge pattern. Also, we can see Regular Divergence(RD+) between two consecutive valleys. I expect that CGPT will grow by at least ➕ 35% .🚀 ChainGPT Analyze ( CGPTUSDT ), 4-hour time frame ⏰. Do not forget to put Stop loss for your positions (For every position you want to open). Please follow your strategy, this is just my Idea, and I will be glad to see your ideas in this post. Please do not forget the ✅' like '✅ button 🙏😊 & Share it with your friends; thanks, and Trade safe.
Long
by pejman_zwin
14
open ai is a nice fun toolpeople have used it to cheat on university exams. people with no coding experience have used it to develop software. people use it to penetration test vulnerabilities in networks. its all cloud based supercomputing. does this mean openai is going to change the world? no. does it mean microsofts cloud computing business is saved? no. does that mean its a good investment? yes. obviously bulls got power bomb suplexed back into the dirt at the end there, but its as if they dont care. as long as were buying the rumor, selling the news, im going to assume theres more rumors, and more news. aquisitions and debt to assets peaked after trumps election, and were rubbing up against corona bottom anchored vwap, and top of regression. if these metrics continue bull, im long, and if we resist and move lower im bear.
NASDAQ:MSFT
by cerealpatterns
AUDUSD. Intraday A.I Trade. AUDUSD has an intraday long opportunity based on my A.I time prediction strategy. There are a lot of things coming together at the same time. 1. We have had a 120 point drop from the recent high with no 38.2% pullback yet. 2. We have the 89% retracement from the recent low and high 15m chart. This gives us a very low risk opportunity to see if its right. 3. There is an A.I expected turn area at 1200pm Jakarta time. If it is right then I'm expecting a 38.2% rally, or a rally into 830pm which ever happens first. A short term trade with a great R/R ratio. This strategy is time based not price, This is why I'm looking for an 830pm time not price. If it goes sideways for 30mins or more then the set up will be invalid.
Long
by L_F
Lemonade -price touched 189$ where we go next from here ?LMND Stock, I covered the fundamentals of the stock here: The company deals with Artificial intelligence software to assess the client’s insurance price and even to assess compensation on claims with minimum human intervention. The stock got covered by Motley Fool a lot in the last months and in an article on December 31st the article named “Lemonade Says It Now Has Over 1 Million Active users” the stock shot up from 111$ to 186$ - someone must be holding a lot of LMND in Motley Fool because that is the second time that their article made the stock jump, and they cover this stock nonstop 😊 LMND is definitely at the forefront of innovation and I believe will be a major player in the online insurance market in the near future! I signed up with them to check the process of the service and I got a full offer for insurance in less than 5 minutes along with a detailed explanation on the quoted price in my email …nice! So let's focus on technicals: -first impulse wave ended at 133$ and then accumulated (side trend) between 105 -133. -second wave took the price all the way up to 187$. -correction wave started on the 13th of January and so far bottomed down at 148$ ( 0.382 retracement level). Once the price hits the new low -could be as low as 133 but as it seems it will not reach that low. Then it will start the third wave – our first price target is 165$ there we will see some accumulation and a lot of convergence. When the price finishes the accumulation, it will move up again and this will be our second price target at 187$ - previous ATH. LMND is traded in a much higher market evaluation but in this market that means nothing, investors are looking at the future potential and not the current EPS. We are very bullish on the stock and the company and we believe that even the 230$ price target is reachable by mid-2021. Stay safe and Trade safe from the FDGT.
NYSE:LMNDLong
by FDGT_academy
2
Earnings Per Share AI (EPS AI)I know that this indicator has been out for a while. I just thought I would publish an idea so that people who follow my ideas will notice this. This indicator can be accessed by ANYONE by searching in the public indicator library located at the top of your chart. Introduction This fundamental indicator uses machine learning to predict the next Earnings Per Share ( EPS ) figure. The algorithm learns from previous figures in order to more accurately predict the next. As time continues, this indicator will become more accurate as it learns from an increased amount of data from earnings results. When the Future Projected EPS is positive, the line will appear green. When the Future Projected EPS is negative, the line will appear as red and sit below the EPS . In this instance, using the example above, we can deduce that the future EPS for the annual report of AAPL should be somewhere close to $15.90. However, we all know that they will be severely impacted by the economic climate caused by the COVID-19 pandemic and so the actual result is likely to be far lower than the outcome predicted by the machine learning. Settings Panel The settings panel contains two tick-boxes. Quarterly Earnings: When selected, the EPS and future projected EPS will utilise quarterly results. Yearly results are used by default. Diluted EPS: When selected, the Diluted EPS and future projected Diluted EPS will be utilised. Basic EPS is used by default. Indicator Utility The EPS AI can be utilised on every securities instrument and time-frame. This indicator has been built in Pinescript V4 and will operate in real-time. Enjoy!
NASDAQ:AAPL
by GrantPeace
2
The golden age of Artificial Intelligence and the FANG stocks"AI is an amazing renaissance" says Jeff Bezos. And this is because behind the scenes Artificial Intelligence has been proving very useful across several industries. It helps NASDAQ:GOOG to provide better searches. It is the backbone of NASDAQ:TSLA 's autonomous driving. AI is the reason -to some degree- why these stocks has been rising in the last years. In this analysis I recommend the FANG (Facebook, Amazon, Nvidia and Google) combo stocks, given that all of them have collected large amounts of data -read "AI fuel"- over the last years. The FANG/4 chart shows a resistance around 920 and a long-term support at 665. Aggressive investors may jump in the market right now and benefit from a possible break-out of the 920 resistance. Conservative investors should wait until a real break-out is visible or even wait for the possibility of a melt down to the long-term support at 665 or in between around 790. I expect the price to travel around the yellow polygon in the next years. --- "AI is in a golden age" - Jeff Bezos
NASDAQ:METALong
by adelriosantiago
IRBT Vanguard Purchase - iRobot @$44.14 on 10/23/19Got a Vanguard notification of a purchase this morning. I'd like to attempt to document, on the same day , all individual stock purchases for future reference and timing studies. Vanguard purchases are my Long-to-Ultra Long term holdings. Companies purchased reflect positive outlooks on - Valuation, Growth potential, Technicals, and Future trends. I want to make these public so that I keep myself honest by allowing everyone to view my winning trades and losing trades. Sometimes months go by where I won't purchase anything, I have my limit orders preset. I wait for price to come to me. Best, RH IRBT Daily View: Recent Purchases: TLRD: MO: CC: PETS:
NASDAQ:IRBTLong
by RHTrading