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AI-Driven Services for Regulation 🤖🔄📚🔍VAIOT: Revolutionizing Contract Security with zk-SNARK powered Legal Assistants In the rapidly evolving world of blockchain technology, privacy and security are of paramount importance. VAIOT, a leading innovator in the field, is harnessing the power of zk-SNARKs to redefine the landscape of digital transactions. In this article, we will explore VAIOT’s use of zk-SNARKs, delve into the history and concept of zk-SNARKs, discuss their current and future applications, and explore how VAIOT will implement them in real-life scenarios, particularly in public administration through its AI Assistants. Harnessing zk-SNARKs VAIOT recognizes the significance of zk-SNARKs and has integrated them into its platform. By leveraging zk-SNARKs, VAIOT ensures the confidentiality of sensitive information while providing verifiable proof of knowledge. This groundbreaking approach enhances privacy and security, setting the stage for a new era of secure digital transactions and contract analysis. What are zk-SNARKs? ZK Proofs? To comprehend the power of zk-SNARKs, we must delve into the concept of zero-knowledge proofs. Originating in the 1980s, zero-knowledge proofs allow two parties in a transaction to verify a particular set of information without revealing the specifics. zk-SNARKs, or zero-knowledge succinct non-interactive argument of knowledge, utilize zero-knowledge proofs, enabling one party (prover) to prove possession of certain knowledge to another party (verifier) without disclosing the knowledge itself. This cryptographic protocol has revolutionized privacy and security in the digital realm. Dive Into zk-SNARKs zk-SNARKs provide a powerful solution to address privacy concerns in cryptocurrencies. Bitcoin, one of the original cryptocurrencies, initially assumed a certain level of anonymity for its users. However, coordinated efforts by data scientists, hackers, and law enforcement agencies demonstrated the ease of re-identifying individuals based on pseudonymous data. In response, developers started working on privacy-focused coins, such as Zcash, which introduced zk-SNARKs as a robust privacy solution. zk-SNARKs allow for nearly instant verification and require no direct interaction between the prover and verifier, enhancing privacy and security in digital transactions. VAIOT’s Current and Future Applications At present, VAIOT harnesses zk-SNARKs for certificates, enabling users to purchase certificates proving specific values within a contract without revealing the entire contract. This application showcases the power of zk-SNARKs in ensuring privacy and authenticity while leveraging blockchain technology. Additionally, VAIOT goes beyond by deploying smart contracts with the verifyProof function. This allows users to independently verify their proofs, promoting decentralization and appealing to a wider user base. Looking to the future, VAIOT envisions an array of use-cases for zk-SNARKs, particularly in public administration through its AI Assistants. These applications will streamline processes, enhance transparency, and facilitate secure and efficient contract analysis. Implementing zk-SNARKs for Real-Life Use Cases VAIOT is actively developing a solution based on zk-SNARKs for the mainnet and certificates. These certificates, available in the Contract Reader, offer users proof of selected values within a contract without revealing the entire contract itself. This innovative approach ensures privacy and authenticity, revolutionizing contract analysis. To achieve this, we are building new backend instances and creating proofs based on conditions recorded in smart contracts. This implementation paves the way for secure and efficient contract analysis in real-life scenarios, particularly in public administration. By integrating zk-SNARKs into it’s AI Assistants, VAIOT spearheads a transformative shift in public administration processes. But let’s dive deeper into the real-life impact of zk-SNARKs. Imagine a scenario where you need to prove your monthly income to authorities without disclosing the specifics of your occupation. With zk-SNARKs, you can provide verifiable proof of your earnings without revealing sensitive details. For instance, you can demonstrate that you have a signed contract for software engineering work without disclosing the specific company you work for. This powerful application showcases the potential of zk-SNARKs in preserving privacy while enabling efficient verification. VAIOT’s integration of zk-SNARKs opens up a world of possibilities, empowering individuals and organizations to navigate the realms of privacy, security, and efficiency with confidence. VAIOT offers a portfolio of blockchain-based AI Assistants for businesses and consumers to provide automated services and transactions. Faster, easier, and affordable. Link: vaiotltd.medium.com One Love, The FXPROFESSOR 📚🔍
Long
by FX_Professor
3
A Negative Month at these Levels Could Signal NVDA Down to $196We are at a point where NVDA is trading at a Macro Monthly Bearish ABCD PCZ and all the Oscillators are sitting in overbought zones. If NVDA sees a negative monthly candle at these levels, it is very likely that these Oscillators will begin to come down again and signal Potential Bearish Action ahead; if we get such a signal at these levels, then I would typically aim for it to go back down to the level of C of the ABCD as a Minimum Target; but given how high this is and how profitable even a 61.8% retrace would be, I will opt to target the 61.8% retrace instead down at $196.32 as it nicely fits into my typical 3:1 risk to reward requirement.
NASDAQ:NVDAShort
by RizeSenpai
8
UPDATE Nasdaq is on track to new All Time HighsCup and Handle formed on Nasdaq and since then the price has rocketed up. We still have bullish confirmation of further upside. 7>21>200 RSI>50 (Higher lows) Target remains at 16,073 One could even lock in half profits here and raise stop to above breakeven. Fundamentals: With the Big 7 outperforming this year, we are seeing the innovation of AI, Metaverse and machine learning attract new investors into the market. This will help push up the price bring on higher earnings and help the economy - which diminishes the likelihood of a recession. The Big 7 are the major tech companies: Apple, Microsoft, Alphabet, Amazon, Nvidia, Tesla, and Meta. And as they adapt, innovate and integrate AI into their business models, products and services, this will continue to bring investors into the market and drive their prices up. And this means the Nasdaq will continue to rally. SMC Sell Side Liquidity (Order Block) Smart Money buys into positions (and sweeps liquidity) from traders who are long (get stopped) and for short traders who enter into their trades.
NASDAQ:NDXLong
by Timonrosso
Unity. Inverse Head and Shoulder forming. + Bullish divergenceHey folks, Another Inverse Head and Shoulder pattern with bullish divergence. My favorite pattern to trade, especially on these longer time frames. I am also noticing micro h and s patterns within in the smaller time frames on various stocks. Besides the lackluster market response to its AI features, U hasn't had a whole lot going on fundamentally, noteworthy at least, but I'm picking up on the metaverse trend building steam again. This one is a great metaverse play. I'll lock in profit accordingly. Around $42, $58, $65 and save some for all mighty $100 liquidity zone. I think mid July could see some nice action. Happy trading! OnePath
NYSE:U
by OnePath
6
BTC: Artificial intelligence (AI) one of the reason for $47KWe expect with time that BTC will gain a new high with the target of 47K We did explain before about the last trends of AI that can take place on BTC, and there are already developments, see more about BTC AND AI on this chart below And also Forbes did add about the AI : that it Will Help Crypto Get To The Next Level with the expecting a huge Ai hype will start we expect that this is just the start of AI and that AI can play a very important role for BTC, also this can mean that AI coins can expect a new hype soon depending on this study. One of the coins that can show interesting views is MDT. Google developing new AI products with MDT in the short term. BTC AND AI can change the world to a new range of Artificial intelligence We expect that BTC is going to see a whale's breakouts and an increase that has not been seen in 2023.
Long
by Goldenbreakout
1
MDT : AI IS THE NEW GOLD /MDT/BTC GOING TO EXPLODE!After we have studied AI, out of the chatgpt, AI can deliver an important new trend for the world, and what we call is that AI can be the new gold of the future. BITCOIN ENTERING AI - This can explode BTC and AI coins to a new range. Check news sites and you will find more about BTC and AI. powered tools that enable AI Agents to traverse L402 APIs (HTTP 402 pay-per-call APIs over Lightning), and also directly hold+manage Bitcoin via OpenAI We expect with this update that BTC and AI coins as MDT are going to see a huge development and increases in the coming time. This is our view, its not trading advice.
Long
by Goldenbreakout
3
Why the Nasdaq may not capture the full growth potential of AIThe start of 2023 has marked the return of tech growth stocks alongside the surge of generative artificial intelligence (AI) and large language models (LLMs). The biggest tech companies in the world have benefitted from the buzz created by ChatGPT and rapidly rising enthusiasm around AI in general. Nvidia, a leading semiconductor company seen as one of the main AI beneficiaries, has advanced the most within the Nasdaq-100 and even joined the trillion-dollar market cap club just weeks ago. The year-to-date rally of ‘Big Tech’, led by Nvidia, has resulted in a strong return differential of 22.33%1 between the widely followed tech gauge (the Nasdaq-100) and the broad equity exposure (the S&P 500). The top 10 holdings in the Nasdaq-100 by contribution to return (CTR) have jointly posted 30.45% year-to-date, representing more than 82% of the total index return. This advance of the top Nasdaq-100 holdings, capitalising on the buzz around AI, is begging the question from investors whether allocation to the Nasdaq-100 already offers good exposure to the long-term investment potential associated with the AI megatrend. To answer this question, we have to take a step back and think of the concept of megatrends and benchmarks in the portfolio construction process. Benchmarks are usually viewed by investors as a core allocation, while thematic investing is being used as a return enhancement play that benefits from the evolution of various megatrends. In the case of the Nasdaq-100, we can point to several arguments why a thematic strategy focused on the AI theme might be a better option if an investor’s goal is to benefit from the long-term growth potential offered by AI. 1. The AI space represents a wide variety of areas that can achieve wider adoption and success at various points in the future. A targeted AI strategy can build exposure to the theme and its evolving trends through a diversified basket of more pure-play companies involved in various AI activities. In turn, the Nasdaq-100 will tap into the space only through a handful of companies that would offer a less comprehensive and less pure exposure to the theme. 2. A targeted AI strategy has the potential to capture the mega caps of tomorrow early on and with a meaningful weight within the portfolio. Investing in AI through the Nasdaq-100 might be seen by investors as a safe way to avoid losers and focus on more successful AI companies that made it into the benchmark. However, this approach does not allow investors to reap the return potential associated with exciting smaller companies early on. After all, the growth potential driving the returns in the tech space is highest for smaller and younger companies. Investing Tesla and Nvidia (the latest two companies that managed to hit a $1 trillion market cap) in them 3 months after they went public would have resulted in much higher annualised returns in comparison to returns after they joined the Nasdaq-100. In addition, it took both companies around 2-3 years to join the tech benchmark and, after they did, their starting weights were only 0.40%-0.50%. In contrast, thematic strategies might invest in companies shortly after their IPO (initial public offering) dates and might allocate a more meaningful weight to them. 3. A satellite thematic exposure can improve the risk-adjusted portfolio returns through increased diversification. The concept of diversification was first formalised by H. Markowitz as early as in 1952. However, in practice, it’s not feasible to hold all stocks in the investable universe and investors stick to broad benchmarks to build their market exposure. In this situation, thematic investing represents a novel way to split the universe of investable companies and identify promising opportunities aligned with megatrends shaping our future. Relatively low overlap of thematic strategies with broad benchmarks is what makes them particularly attractive for a satellite exposure. Trying to kill two birds with one stone (that is, building a core tech exposure and capturing the potential of the AI theme) by using the Nasdaq-100 could backfire. It could deteriorate diversification and risk-adjusted returns for two reasons: 1) Sticking just to AI companies within the Nasdaq-100 narrows down the return drivers associated with the AI megatrend; 2) Investors increase idiosyncratic risks in their portfolios associated with the biggest tech companies, most likely captured in some other portfolio allocations, for example, the S&P 500. Thematic strategies specifically focused on AI might represent a better option for investors seeking to benefit from the long-term growth potential associated with the megatrend in contrast to the theme exposure offered through the Nasdaq-100. When selecting the specific AI strategy it’s important to understand how each strategy captures the space and to align it with investor’s beliefs about the future development of the megatrend. Diversification benefits and potential return drivers associated with the theme are yet other important considerations that help to govern the strategy selection process. Sources 1 As of 27 June 2023. This material is prepared by WisdomTree and its affiliates and is not intended to be relied upon as a forecast, research or investment advice, and is not a recommendation, offer or solicitation to buy or sell any securities or to adopt any investment strategy. The opinions expressed are as of the date of production and may change as subsequent conditions vary. The information and opinions contained in this material are derived from proprietary and non-proprietary sources. As such, no warranty of accuracy or reliability is given and no responsibility arising in any other way for errors and omissions (including responsibility to any person by reason of negligence) is accepted by WisdomTree, nor any affiliate, nor any of their officers, employees or agents. Reliance upon information in this material is at the sole discretion of the reader. Past performance is not a reliable indicator of future performance.
NASDAQ:NDX
by aneekaguptaWTE
C3.ai (AI) Looking Ready 4 Another ClimbI recon C3.ai have found another ladder to start climbing again after an inevitable lul in the market due to the initial 'hype' related to AI and c3.ai in particular had subsided only to leave the well known AI driven tech company to show why they are still a good investment through actual company performance as well as the fact that this week there was some good news from Oracle who gave AI stocks a boost, as the enterprise tech giant said strong cloud sales were being boosted by generative AI. That helped propel the broad market to a banner week, and C3.ai shares were up 24.4% for the week. So with all that inside info as well as the indicators on this chart you see here, Houston seems to be echoing in my analytical mind.
NYSE:AILong
by Y2K_B
1
AGIX – Looking Great! Possible 90% ProfitTLDR: • A successful break out a of a Falling Wedge Formation could lead to an 90% profit long trade. Background: • AGIX has been in a correction since February 8th, 2023. This correction is creating a Falling Wedge formation. • Since my previous AGIX idea, AGIX corrected further and now it reached the 0.382 Fibonacci retracement. • The target of a Falling Wedge is the measure from low to high of the wedge’s beginning. • Considering that the AI narrative is the darling of investors at the stock market and crypto, I think AGIX could go much higher. However, let’s not count the chickens before they are hatched. A cool 90% profit is enough, for now. My Trade Idea: • Entry: 0.26 (approximate number, breakout of the wedge). • SL: Daily candle below the resistance line. • TP: 0.34, 0.46, 0.51. Leave a moon bag. God willing, I will update you as AGIX makes further progress. NFA. What do you think? Please share in the comments. Best wishes to all.
CRYPTO:AGIXUSDLong
by NewThoughtCrypto
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
What does real estate have to do with AI?To shed some light on the potential of artificial intelligence (AI), and discuss the role of the supporting infrastructure enabling this boom, we were delighted to leverage the expertise of Eric Rothman, Portfolio Manager, Real Estate Securities with CenterSquare. CenterSquare is a dedicated real estate investment manager, with around $14 billion under management, and Eric has been with the company for 17 years. Before we explore the Nvidia story and the relationship between AI, data centres, and ‘new economy real estate’, let’s define what that latter phrase means. New economy real estate is supporting technological advancements, like AI What is ‘new economy real estate’? Eric noted that there is so much beyond the traditional ‘4 foodgroups’ of real estate: 1) retail 2) office 3) residential 4) industrial When CenterSquare defines the ‘new economy real estate’ space, Eric noted that the larger components include data centres, cell phone towers, and warehouses dedicated to new economy logistics—things like ecommerce fulfillment. This is far from traditional, industrial real estate. Some of the smaller segments include life sciences, cold storage, and office space that is uniquely tailored to technology tenants, typically located in specific cities with focused pools of technology talent. Such cities might be Seattle, San Francisco or New York. These types of ‘real estate’, most notably data centres, are vital to support growing technologies like AI. The Nvidia story—$1 trillion to be spent? There has been a huge amount of excitement and discussion around Nvidia as the stock has enjoyed overnight success on the coattails of the AI boom. ‘$1 trillion’ is a big number (and a nice headline), but it’s very difficult to forecast where generative AI will take us. Some people say it is like inventing the wheel or the personal computer. This is a big claim, and only time will tell. If people are thinking about ‘data centre REITs’ as an investment, they have to understand that data centres just fulfil the provision of power, cooling, and connectivity. The data centre REITs do not actually own the computers. The tenants invest in the computers. One thing that is absolutely true, however, is that as an owner, you love to see the tenants putting money into the space that they are renting. Why? This makes it less likely they are going to leave. Therefore, a greater investment in AI technology and computing power may be a positive signal for the supporting real estate (like data centres). Eric’s conclusion, whether thinking about the impact of generative AI on data centre REITs or cell phone tower REITs, was that the move in share prices hasn’t reflected where we could be going yet. Connectivity and data centres will be vital components for artificial intelligence, but it’s not yet clear how or when investors are going to reflect that in the real estate prices. Eric noted that investors frequently forget about the buildings until later in a cycle or a trend. Greater computing power = greater energy consumption? Another aspect that we discussed was energy usage. Eric estimated that newer AI-focused semiconductors draw more power, not just a little bit more power but a step change in power consumption. A chart from the ‘Decadal Plan for Semiconductors’, a research report by Semiconductor Research Corporation allows us to compare compute energy to the world's energy production. A critical point to keep in mind is that ‘something has to give’; simply continuing to add computational capacity without thinking of efficiency or energy resources will eventually hit a wall. However, if history is any guide, we should expect that, as demand and investment in computational resources increases, there will be the potential for gains in efficiency, improved model design, and even different energy resources that may not yet exist today. Since many investors may be less familiar with cell phone towers, Eric made sure to mention just how strong of a business model he believes this to be. Now, it’s true that these REITs have not performed well in the past 18-months, but we are right in the middle of the current 5G rollout. Tenants have long leases, there is lots of demand, and there are even consumer price index (CPI) escalators that increase the rent to be collected. Conclusion: a different way to think about real estate It was great to be able to spend some time speaking with Eric and to learn about what’s happening both in the broader real estate market as well as in the more specific, new economy, ‘tech-focused’ market. The full discussion is accessible on behind the markets podcast This material is prepared by WisdomTree and its affiliates and is not intended to be relied upon as a forecast, research or investment advice, and is not a recommendation, offer or solicitation to buy or sell any securities or to adopt any investment strategy. The opinions expressed are as of the date of production and may change as subsequent conditions vary. The information and opinions contained in this material are derived from proprietary and non-proprietary sources. As such, no warranty of accuracy or reliability is given and no responsibility arising in any other way for errors and omissions (including responsibility to any person by reason of negligence) is accepted by WisdomTree, nor any affiliate, nor any of their officers, employees or agents. Reliance upon information in this material is at the sole discretion of the reader. Past performance is not a reliable indicator of future performance.
SPARKS:AIX
by aneekaguptaWTE
1
Breakout Trade in SOUNI’ve had my eye on this stock for months. SoundHound is smaller, off-the-radar AI stock. The company owns several patents involving voice-recognition technology. If you drive a Dodge, Chrysler, Jeep, Hyundai, Kia, Honda or Mercedes-Benz, you are probably using their software already. HOUN ripped higher to start the year, but it got overcooked and settled back in the $3 range. It has been forming a base for the last four months with resistance near $3.35, and the stock is now trying to breakout higher. Notice how the volume bars mimic the action from the price candles. Volume climbs as the stock moves higher and declines as price comes down. This is exactly what we want to see. It shows the aggressive action is on the buy side and bulls are in charge. I want to see this stock stay above $3.25 and remain above the base. Traders may consider buying on a pullback into the $3.50-$4.00 area.
NASDAQ:SOUNLong
by rossgivens
QQQ Outlook 0626-30/2023Technical Analysis: Last week’s price action put NASDAQ:QQQ back inside the bullish channel we’ve been watching since March. We should see come corrective price action this week before tech runs higher. Bulls will look to see if we can stay above last week’s lows at 360. It is crucial bulls hold this level or we could see the daily fair value gap that could be filled below at 357.66. Bears will want to see a breakdown under the daily fair value gap, where we could test the strong monthly level at 354.43. If we lose the levels above, we can look for a test of the lower trendline in the upcoming weeks, and possibly a large gap to fill to the downside from 336.67-332.91. Inside this gap is the 50SMA and the 61.8% retrace at 334.00. Upside Targets: 364.57 → 370.10 → 373.83 → 380.76 → 386.28 Downside Targets: 360.00 → 358.97 → 357.66 → 354.43 → 352.46
NASDAQ:QQQ
by peterjames_6