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Artificial_intelligence

Harnessing the Power of Artificial Swarm Intelligence in TradingI) Introduction Artificial swarm intelligence (ASI) has come in as the latest disruptor in trading and other industries in this world. This advanced technology, inspired by the sociobiology of social organisms like bees, birds, and fish, leads to the latest innovations and efficiencies found in the financial markets. Herein lies an informative overview of ASI, underscoring its principles and its utilities and advantages in trading. II) What is Artificial Swarm Intelligence? Artificial swarm intelligence makes one mimic the decision-making behavior of natural swarms. Swarms of bees, schools of fish, or flocks of birds in nature make group decisions that are often superior to those made by individuals in the same field. It exploits this relationship through algorithms and dynamic sharing of data to allow collaborative decision-making in artificial systems. III) How Does ASI Work? ASI has three basic components : 1) Agents: These are members of the swarm, often represented by single algorithms or software programs that take part, such as trading bots or software applications that analyze the market for many different data sources. 2) Communication Protocols: These protocols enable agents to relay information and together make decisions. Thus, good communication will enable all agents to receive the most current data and thus be aware of market trends. 3) Decision Rules: These are predetermined rules that guide agents regarding how to interpret data and make decisions. These rules usually imitate the simple behavioral rules present within the natural swarms-for example, either to align with neighboring swarming agents or to strive for consensus. IV) Applications of ASI in Trading 1) Market Prediction: ASI systems can process enormous market datasets, recognize historical patterns, and analyze real-time news to make informed market predictions. By providing agents with a common perspective, this system is capable of forecasting stock prices, commodities, or any other financial instruments much more effectively compared with conventional techniques. 2) Risk Management: In trading, effective management of risk is a very important aspect. ASI facilitates the comprehensive examination of the volatility of the market and how individual investors behave to identify possible risks. In this way, the risk assessment will benefit from the wisdom of the crowds and its falling human error rate. 3) Algorithmic Trading: ASI controls technological trading as it is in constant evolution by the market and the traders. This evolution is beneficial in the aspect of lowering the costs of the trading algorithms concerning the costs of the transactions carried out. 4) Sentiment Analysis: ASI technologies monitor and examine the social networks, news, and traders’ discussions within trader communities to analyze these markets. Such up-to-date information avails the traders of the present atmosphere of the markets which is useful in making forecasts at the right time. V) Merits of ASI in Trading 1) Increased accuracy: The inherent ASI decision-making characteristics increase the accuracy of market forecasts and trading decisions. 2) Greater efficiency: ASI digests material far more rapidly than older methodologies – enabling quicker actionable measures and therefore earning better trades by the traders. 3) Ongoing learning: ASI systems can learn and refresh their knowledge of the markets on an ongoing basis further increasing their adaptability. 4) Lower subjectivity: The incorporation of crowds helps to curb individual limitations and therefore results in a more objective analysis of the market that is devoid of personal bias. VI) The Future of ASI With the development of artificial swarm intelligence, its application in trading will surely diversify. More sophisticated agent communication systems will probably be necessary, faster information processing systems in real-time and systems with more capacity. All these will see the integration of ASI more into trading. VII) In conclusion Artificial swarm intelligence is a revolutionary method for making decisions in trading. The collective intelligence of the system allows traders to form better predictions accurately, increase their efficiency, and manage their risks. With future technological advancement, the role of ASI in trading will continuously see increased emphasis, leading the financial market into the future. - Ely
CRYPTO:BTCUSDEducation
by Elysian_Mind
Crypto's Bullish Talk, Bearish Trades: A Swarm Intelligence AlgoHello, Artificial Swarm Intelligence I wrote an Artificial Swarm Intelligence algorithm to run on popular prediction platforms, and Swarm AI reported more than 80% of traders believe in a BTC crash. That's strange because the same algorithm on social media wrote that BTC was a trending topic. Everybody talks about Satoshi Nakamoto, and these talks often diverge into bullish ideas about BTC. According to the swarm, people claim to believe in a bullish outcome for BTC, but they trade to expect a bearish future. I leave the conclusion to you. Who to believe, what people say, or what people trade? And will people lose, or will they make a self-fulfilling prophecy? Technical Analytics Technically, MACD demonstrated bearish power until 05 August and slightly weakening bullish momentum by 28 September. At the moment, however, both sides seem powerful. Since 01 October, there's been a bearish cross on MACD, but recently, bears haven't picked up the momentum. Conclusion I'd wait until one of the sides starts to exhaust itself before making a trade. The setup suggests possible targets in the white zone, but also that the market can become volatile. If I traded now, I'd use strict stop losses. Regards, Ely
BITSTAMP:BTCUSDShort
by Elysian_Mind
Will Mark Zuckerberg Become The Wealthiest Person In The World It's gone 12 months or so since Meta Platforms shareholders reached their breaking point in Q4'22 as the Tech giant's financial results in those times were following an increasingly questionable rebrand, from Facebook into Meta. In October, 2022 Altimeter Capital Chairman and CEO Brad Gerstner said in an open letter to the Company that Meta has too many employees and is moving too slowly to maintain investor confidence. A Meta shareholder wrote an open letter to CEO Mark Zuckerberg, saying he's basically "not happy". The investor criticized the brand's $100 billion-plus Metaverse experiment, saying such wild investments "into an unknown future are disproportionate and appalling even by Silicon Valley standards." Investor recommended a plan to bring a "Mojo" back to the company. 👉 It included cutting personnel costs by 20% and limiting the company's costly investment in Metaverse technology to no more than $5 billion a year. 👉 Further, Meta must restore the trust of investors, employees and the tech community to attract, inspire and retain the best people in the world, - Gerstner wrote in the letter. 👉 In short, Meta needs to get fit and focused. The letter was the latest sign that Meta investors were beginning to significantly express doubts about the company's financial results. Meta shares were down more than 61% in 2022. Meta changed its company name to better focus on virtual reality hardware and software, and is spending $10 billion a year on the technology. “However, people were confused about what the Metaverse even means,” Gerstner wrote. "If the company had invested $1-2 billion a year in this project, this confusion might not even be an issue." Ultimately, Gerstner says, Meta has too many people and spends too much on capital expenditures. If Meta could control those costs, it could double its free cash flow and improve its share price, he said. He said a 20 percent cut in employee costs would return Meta to the level of staffing it had last year, and said the company can't spend money like before because the cost of capital and interest rates have risen recently. “We believe the recommendations outlined above will result in a leaner, more productive and more focused company — a company that regains its confidence and momentum,” Gerstner resulted his letter. I have to say also, there were a lot of important questions to Meta activity abroad the United States, in addition to the dismal financial performance in 2022. Saying this, I mean that the activities of Meta Platforms Inc, including Facebook and Instagram products, were recognized as extremist and were banned in the Russian Federation under the local court decision, and Meta stocks were uncompromisingly delisted from both Russian trading boards, well known as Moscow Stock Exchange MOEX:MOEX and Saint Petersburg Stock Exchange MOEX:SPBE . In conclusion the rehabilitation path was the one and only - Meta Gotta Have a Mojo! NOWADAYS In nowadays Meta Platforms Inc. NASDAQ:META is the # 1 over the all S&P500 SP:SPX components with 205 percent yearly performance in this time, as Meta stocks were not simply gained, but tripled the price over the past 12 months. Meta reported Q3'23 earnings after the closing bell October 25, 2023 that beat analysts' revenue and profit estimates. The beat was driven by a continued rebound in Meta's advertising business following a sharp slowdown throughout 2022. Meta's guidance on its 2023 and 2024 expenses also hit the sweet spot for investors, as it signaled that it can balance its "year of efficiency" cost cutting efforts while it continues to invest in the Metaverse and Artificial intelligence (AI). According to Forbes Real-Time Billionaire Index Mark Zuckerberg is the 6th richest person in the world today with its $120.0 wealth as of today while Tesla CEO Elon Musk is yet number one in the world with $241.1B wealth. Key facts about Mark Zuckerberg * Mark Zuckerberg started Facebook at Harvard in 2004 at the age of 19 for students to match names with photos of classmates. * He took Facebook public in May 2012; he now owns about 13% of the company's stock, according to the company's 2023 proxy statement. * Facebook changed its name to Meta Platforms in November 2021 in a sign it was shifting the company's focus to the metaverse. * In December 2015, Zuckerberg and his wife, Priscilla Chan, pledged to give away 99% of their Meta stake over their lifetimes. * Mark Zuckerberg born in White Plains, New York in 1984, and in this time 39-years old Mark Zuckerberg is the youngest one over the top 30 richest persons in the world. In conclusion, Will Mark Zuckerberg become the wealthiest person in the world!? Perhaps, Yes. He can. The main technical graph undoubtedly says Meta Inc stocks NASDAQ:META are on the runway to triple the price once again. ========= Dedicated to my beloved newborn son, Mark 💖
NASDAQ:META
by Pandorra
6
Artyfact(ARTY)==>>New AI Project==>+30%_+70%Today, I want to talk about the Artyfact( OKX:ARTYUSDT ) project , which tried to create an attractive game for users by combining Metaverse , Game , NFT , DAO and Artificial Intelligence(AI) . Please be with me.🙏 ---------------------------- What is Artyfact(ARTY)!? AI is rapidly changing the world and the gaming industry is no exception here. Artyfact setting a new standard for AI within the gaming industry, implementing innovative AI technologies that revolutionize not only the gaming experience, but also the game development process: - AI NPCs - AI content generation - AI cheat detection - AI Testing - AI Player-Experience Modeling - AI Data Analysis. ARTY is a native deflationary cryptocurrency and governance token of the Artyfact ecosystem. The integrated Play-and-earn solutions maintain a constant demand for the ARTY, which continuously stimulates the growth of its value. ---------------------------- The Artyfact(ARTY) project successfully completed the first part of its Roadmap . ( The first part was NFT Stage ). According to the information that came from the project team, the Beta Stage has been launched (just a few days), and we have to wait for the future events of the Artyfact(ARTY) project , all of which can increase the value of the ARTY token . ARTY token has a good potential for price increase due to its low market cap . You can buy ARTY tokens on different exchanges , and if they are listed on more exchanges, their value can increase. Now, let's check which price zone we can buy in if we want to add ARTY tokens to our portfolio . ARTY token failed to break the Resistance lines for the third time and is returning to the Heavy support zone($0.40-$0.34) and Potential Reversal Zone(PRZ) . I expect the ARTY token to increase by at least 🚀 +30% 🚀 due to the heavy trading volume in the Heavy support zone($0.40-$0.34) . If ARTY can break the Resistance lines , we can expect the ARTY to increase even more than 🚀 +70% 🚀. Note: If the ARTY token breaks the Heavy support zone($0.40-$0.34), we should wait for the further fall of this token. Artyfact Analyze (ARTYUSDT), Daily time frame⏰. Do not forget to put Stop loss for your positions (For every position you want to open). Please follow your strategy and updates; this is just my Idea, and I will gladly 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
1
AiTECh Coming IN RangeThe chart displays the price movement of Solidus AI Tech (AITECH) against USDT on the daily time frame. Here's a breakdown based on the chart: Current Price (September 30, 2024): $0.10873 Green Lines: Upper Green Line: $0.09968 (First buying support level) Lower Green Line: $0.09141 (Second buying support level) These green lines represent potential support levels where traders might look to buy if the price pulls back to those zones. The recent price action shows a strong upward move followed by a retracement, with current levels suggesting the possibility of a bounce from the support zones marked by the green lines.
Long
by YoungMillionair
Is Tesla's Robotaxi the Future of Urban Mobility?Tesla, the electric vehicle pioneer, is poised to disrupt the automotive industry once again with its highly anticipated Robotaxi. As the company prepares to unveil this groundbreaking innovation, the world is abuzz with excitement and anticipation. But can Tesla truly revolutionize urban mobility, or will the challenges of autonomous driving prove too insurmountable? The Robotaxi industry is still in its infancy, with companies like Waymo and Baidu taking early strides. However, Tesla's entry into this space could have a profound impact, given its strong brand recognition and loyal customer base. The company's advanced Full Self-Driving technology, coupled with its expertise in electric vehicles, positions Tesla as a formidable competitor. Yet, the road ahead is fraught with challenges. Regulatory hurdles, safety concerns, and intense competition will test Tesla's mettle. The company must navigate a complex regulatory landscape, ensure the safety of its passengers and pedestrians, and develop suitable infrastructure to support the widespread adoption of Robotaxis. Perhaps Tesla's greatest advantage lies in its existing customer base. Tesla owners are known for their early adoption of new technologies, which could give the company a leg up in gaining acceptance for its Robotaxi service. However, public trust and acceptance will be essential for the success of this revolutionary concept. As Tesla prepares to unveil its Robotaxi, the world watches with bated breath. The future of urban mobility hangs in the balance. Can Tesla overcome the challenges and usher in a new era of transportation? Only time will tell.
NASDAQ:TSLALong
by signalmastermind
TAO Bittensor, my revenge chart after my defeat.Project description: Bittensor ( GETTEX:TAO ) is a decentralized machine learning protocol that incentivizes users to contribute computing power and train AI models on the blockchain. By leveraging a decentralized infrastructure, Bittensor aims to create an open, permissionless network for AI development. Type of project: Decentralized AI and machine learning protocol. Is it under a block?: Yes, Bittensor operates on its own blockchain, utilizing a decentralized network to facilitate AI model training and computation. GETTEX:TAO is used as the native token to reward participants who contribute to the network. Latest update or news: As of July 2024, Bittensor introduced Neuron Staking, allowing participants to stake their GETTEX:TAO tokens on AI models they believe will perform well, further aligning incentives within the network and driving improvements in model quality. Narrative: Decentralized AI, machine learning, blockchain infrastructure, and incentive-based computation. Why is it a good investment? Institutional Backers and Angel Investors: 1. Multicoin Capital: Multicoin Capital has backed Bittensor due to its innovative approach to decentralized AI, seeing it as a key player in the future of decentralized machine learning networks. Outlier Ventures: Outlier Ventures, a venture capital firm known for supporting Web3 and AI projects, has invested in Bittensor, recognizing the importance of decentralized AI infrastructure. KR1: KR1, a European blockchain investment firm, has also supported Bittensor’s vision for open, permissionless AI model training on the blockchain, seeing it as a critical step toward decentralized AI systems. 2. Angel Investors: Trent McConaghy (Founder of Ocean Protocol): While not directly invested, McConaghy has expressed strong support for decentralized AI projects like Bittensor that utilize blockchain technology to democratize access to AI resources and data. Sandeep Nailwal (Co-founder of Polygon): Nailwal, known for supporting decentralized infrastructure projects, has voiced interest in Bittensor’s approach to incentivizing AI model training through decentralized computation, though no confirmed direct investment. Futuristic Use Case: Decentralized machine learning model training: Bittensor enables the training of AI models in a decentralized manner, allowing participants to contribute computational power and data, which is crucial for building AI models that are not dependent on centralized entities. Incentivized AI development: Bittensor’s tokenomics incentivize participants to stake GETTEX:TAO tokens on high-performing AI models, aligning incentives across the network and driving continuous improvements in the quality of AI outputs. AI model sharing across industries: Industries such as healthcare, finance, and research can benefit from Bittensor’s decentralized AI models, which allow for the sharing and optimization of AI models across sectors in a transparent and permissionless way. Secure and transparent AI computation: By leveraging blockchain’s security and transparency, Bittensor ensures that AI models and computations are performed in a trustless environment, reducing risks associated with centralized AI model training. Why will it make a significant amount of profits? Unique competitive edge: Bittensor stands out from traditional AI platforms by decentralizing the training and development of machine learning models. This creates an open and permissionless ecosystem where anyone can contribute to AI development and be rewarded, giving it a unique position in the AI market. Growing demand for decentralized AI models: As the AI industry grows, the need for decentralized infrastructure that allows for transparent, secure, and scalable AI model training will increase. Bittensor’s approach of incentivizing contributors with GETTEX:TAO tokens will attract more participants and developers, driving demand for the token. Neuron Staking and incentivization model: Bittensor’s Neuron Staking system allows participants to earn rewards by staking GETTEX:TAO on AI models they believe will succeed. This creates a sustainable revenue model while encouraging continuous innovation in AI development. Revenue from AI model training and computation: Bittensor generates revenue by offering decentralized AI model training and computation services. As more businesses and developers use its infrastructure for AI model optimization, the value of GETTEX:TAO tokens will increase due to the growing demand for decentralized computation.
Long
by osodatsismoso
AIT Protocol; One Stop Shop under TAO Bittensor!Project description: AIT Protocol is a decentralized AI infrastructure platform designed to enhance the development and deployment of AI-powered applications by leveraging blockchain technology for secure data sharing, decentralized computation, and AI-driven services. Type of project: AI infrastructure and decentralized computation protocol. Is it under a block?: Yes, AIT Protocol operates on Ethereum and other compatible blockchains, utilizing smart contracts to manage AI-driven services and secure data exchange across decentralized networks. Latest update or news: As of August 2024, AIT Protocol launched its AI-as-a-Service (AIaaS) feature, enabling developers to access decentralized AI models and computation resources for building and scaling AI-powered applications on the blockchain. Narrative: AI infrastructure, decentralized computation, AI-driven services, and blockchain-based AI applications. Why is it a good investment? 1. Institutional Backers and Angel Investors: Pantera Capital: Pantera Capital has invested in AIT Protocol, recognizing its potential to bridge the gap between AI and blockchain, focusing on decentralized AI applications and services. Framework Ventures: Framework Ventures has also backed AIT Protocol due to its unique AI infrastructure approach, enabling decentralized computation and AI services in a secure and scalable manner. Outlier Ventures: Known for supporting Web3 and AI projects, Outlier Ventures has invested in AIT Protocol to push the boundaries of decentralized AI and its integration with blockchain ecosystems. 2. Angel Investors: Ben Goertzel (Founder of SingularityNET): While not directly confirmed, Goertzel has shown interest in projects like AIT Protocol that focus on decentralizing AI and integrating it with blockchain for secure and scalable solutions. Chris Dixon (a16z Crypto): Dixon, a key figure in supporting blockchain and AI convergence, has expressed support for the type of decentralized AI services that AIT Protocol aims to provide, though no direct investment has been confirmed. Futuristic Use Case: Decentralized AI applications: AIT Protocol enables developers to create AI-powered dApps that leverage decentralized computation and data storage, allowing for more secure and scalable AI models that can be accessed by a global user base. AI-driven services for enterprises: Enterprises can use AIT Protocol’s AI-as-a-Service (AIaaS) to integrate decentralized AI models into their business operations, providing automated insights, decision-making, and process optimization while maintaining data security. Cross-chain AI integration: AIT Protocol is designed to operate across multiple blockchains, enabling AI models to interact with different ecosystems and provide AI-driven services across various decentralized platforms and dApps. Decentralized data sharing for AI training: By leveraging blockchain technology, AIT Protocol allows secure, transparent data sharing for training AI models, solving critical issues related to data privacy and security in AI development. Why will it make a significant amount of profits? Unique competitive edge: AIT Protocol’s focus on decentralized AI infrastructure gives it a competitive edge in both the blockchain and AI sectors, providing scalable AI solutions that are not tied to centralized entities, thus appealing to developers, enterprises, and AI enthusiasts alike. Growing demand for AI services: As the demand for AI-driven services continues to grow across industries, AIT Protocol’s decentralized AI infrastructure will attract more developers and enterprises looking for secure, scalable AI solutions, driving demand for NYSE:AIT tokens. Revenue from AI-as-a-Service (AIaaS): AIT Protocol’s AIaaS model creates a sustainable revenue stream by enabling developers and businesses to access decentralized AI models and computational power for a fee, which will drive the utility and value of the NYSE:AIT token. Integration with Web3 and decentralized ecosystems: As more decentralized applications and platforms seek to integrate AI capabilities, AIT Protocol will play a critical role in providing AI services across Web3 ecosystems, making it a key infrastructure player in the growing blockchain and AI intersection.
Long
by osodatsismoso
4
What Lies Beyond the Horizon of Memory?In the ever-evolving landscape of technology, the horizon of memory has been pushed back further than ever before. Micron Technology, a pioneering force in the semiconductor industry, has once again redefined the boundaries of what is possible. Their recent financial performance, driven by the surging demand for AI-powered memory solutions, is a testament to their unwavering commitment to innovation. Micron's Q4 results were nothing short of extraordinary. Revenue soared by an astonishing 93%, fueled by the insatiable appetite for data center memory chips that power AI applications. The company's strategic positioning as a leading supplier of High-Bandwidth Memory (HBM) has proved to be a masterstroke. HBM, a critical component in AI servers, has become a cornerstone of Micron's success, securing long-term contracts and commanding premium pricing. Beyond HBM, Micron's diversified memory portfolio ensures a sustainable growth trajectory. The company's dominance in DRAM and Nand flash memory, essential components for personal computers, servers, and smartphones, positions it to capitalize on the ongoing surge in device shipments and the increasing integration of AI functionalities. Micron's competitive edge is further solidified by its strategic investments in capacity expansion, including a new fabrication site in New York. This expansion not only reinforces Micron's position as a leader in the memory chip industry but also paves the way for future innovation and growth. As the AI revolution continues to unfold, Micron's unwavering commitment to pushing the boundaries of memory technology remains steadfast. Their ability to anticipate and address the evolving needs of the market has positioned them as a key player in shaping the future of AI and beyond. The question that lingers is: what lies beyond the horizon of memory?
NASDAQ:MULong
by signalmastermind
4
Copper Gets Double Boost from China Stimulus & Fed Jumbo CutThe Fed’s outsized pivot last week and guidance for multiple cuts ahead helped copper’s recovery, as it increases chances of a soft landing for the worlds largest economy. Furthermore, lower rates are expected to bring mortgages down and help the real estate market. Copper got a second boost this week, from a massive monetary stimulus package from China - the world’s top consumer. Authorities have been enhancing their efforts to prop the sputtering economy recently and the new measures constitute a step up. Crucially, these include lower mortgage rates on existing home loans and a reduction in rates for second homes, in further support for the ailing property sector. These developments lead copper towards a third straight profitable week and the best month since April, with bulls now getting the opportunity to tackle 4.700. Along with the return of AI euphoria that drives the rebound of the chip industry (where copper is a critical component), there are prospects for further gains. On the other hand, the Fed’s frontloading creates risk for inflation persistence and less cuts in the future, while China’s actions are in the right direction, but bolder measures are needed on the fiscal front. Furthermore, the move looks stretched technically so a pullback towards the EMA200 (black line) would not be unreasonable. However, the downside appears well protected and sustained weakness below the EMA200 looks hard. Stratos Markets Limited (www.fxcm.com): CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 62% of retail investor accounts lose money when trading CFDs with this provider . You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money. Stratos Europe Ltd (trading as “FXCM” or “FXCM EU”) (www.fxcm.com): CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 59% of retail investor accounts lose money when trading CFDs with this provider . You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money. Stratos Trading Pty. Limited (www.fxcm.com): Trading FX/CFDs carries significant risks. FXCM AU (AFSL 309763). Please read the Financial Services Guide, Product Disclosure Statement, Target Market Determination and Terms of Business at www.fxcm.com Stratos Global LLC (www.fxcm.com): Losses can exceed deposits. Any opinions, news, research, analyses, prices, other information, or links to third-party sites contained on this video are provided on an "as-is" basis, as general market commentary and do not constitute investment advice. The market commentary has not been prepared in accordance with legal requirements designed to promote the independence of investment research, and it is therefore not subject to any prohibition on dealing ahead of dissemination. Although this commentary is not produced by an independent source, FXCM takes all sufficient steps to eliminate or prevent any conflicts of interests arising out of the production and dissemination of this communication. The employees of FXCM commit to acting in the clients' best interests and represent their views without misleading, deceiving, or otherwise impairing the clients' ability to make informed investment decisions. For more information about the FXCM's internal organizational and administrative arrangements for the prevention of conflicts, please refer to the Firms' Managing Conflicts Policy. Please ensure that you read and understand our Full Disclaimer and Liability provision concerning the foregoing Information, which can be accessed via FXCM`s website: Stratos Markets Limited clients please see: www.fxcm.com Stratos Europe Ltd clients please see: www.fxcm.com Stratos Trading Pty. Limited clients please see: www.fxcm.com Stratos Global LLC clients please see: www.fxcm.com Past Performance is not an indicator of future results.
FX:COPPERLong
by FXCM
BitSensor - Ethical Decentralized AI PotentialOverall Sentiment: Extremely bullish. Thesis: TAO's decentralized approach to AI development offers a compelling alternative to centralized AI models, especially in light of recent concerns about corporate control and AI safety. (OpenAI Becoming a for-Profit Entity and last of Original Board leaving) Strengths: Decentralized Governance: This model can mitigate risks associated with centralized control and potential biases. Community-Driven Development: A decentralized approach can foster innovation and adaptability. Potential for Ethical AI: Decentralization can promote transparency and accountability. Market Opportunity: The growing demand for AI solutions and concerns about centralized control create a favorable environment for TAO. Key Indicators: Volume: Approaching all-time highs for the year. Sentiment: Positive, especially following Mira Murati's departure. Technical Indicators: Expanding Bollinger Bands and promising Ichimoku levels suggest potential upside. Price Targets: Strong Support: $478 Target 1: $684 Strong Resistance: $820 Breakout Zone: $1102-$1183 Mid-Term Target 1: $1461.8 Short-term Outlook: Based on the current technical analysis and positive sentiment, TAO appears to be in a strong uptrend. A potential short-term target is $684. If the price breaks above the strong resistance level of $820, it could signal a significant bullish breakout. Mid-term Outlook: The mid-term target of $1461.8 is ambitious but achievable if the current positive momentum continues. However, it's important to note that the cryptocurrency market is highly volatile, and prices can fluctuate rapidly.
Long
by Helios_Capital_Investment
Article Title: Is AI Just Hype?In the whirlwind of AI's rapid ascent, a critical question emerges: Is the hype surrounding AI justified, or are we witnessing a bubble fueled by inflated valuations and limited innovation? Let's delve deep into the AI industry, separating the signal from the noise and providing a sobering reality check. The Super Micro Cautionary Tale The financial woes of Super Micro Computer serve as a stark warning. Despite the soaring demand for AI hardware, the company's internal challenges highlight the risks of investing solely in market enthusiasm. This case underscores the importance of **industry openness** and **due diligence** in the face of AI's allure. A Landscape of Contrasts The broader AI landscape is a tapestry of contrasting narratives. While pioneers like DeepMind and Tesla are pushing the boundaries of AI applications, a multitude of companies are capitalizing on the hype with products lacking substance. This proliferation of **AI hype** has created a toxic environment characterized by inflated valuations and a lack of substantive innovation. Market Dynamics and Future Prospects As the market for AI hardware matures, saturation and potential price drops loom. NVIDIA's dominance may be challenged by competitors, reshaping the industry landscape. The future of AI, however, lies in the development of more sophisticated systems capable of collaboration and learning. The integration of **quantum computing** could revolutionize AI, unlocking solutions to complex problems that are currently beyond our reach. Conclusion The AI industry is a complex landscape, filled with both promise and peril. While the hype surrounding AI may be tempting, it's imperative to scrutinize each company's core innovation and value. As the market matures and competition intensifies, those who can deliver **real value** and **technological advancements** will ultimately prevail. The Super Micro case serves as a stark reminder that in the realm of AI, substance, not hype, is the true currency of success.
NASDAQ:SMCIShort
by signalmastermind
2
Palantir ($PLTR) | The AI Revolution's PowerhouseNYSE:PLTR Palantir is no longer just a secretive "voodoo blackbox" company; its inclusion in the S&P 500 and its critical role in AI and data-driven government and commercial solutions have solidified its place as a dominant player in the AI software space. Known for its massive government contracts and deeply integrated AI systems like Gotham, Foundry, and Ontology, Palantir is a key asset in the ongoing AI revolution. The AI Narrative: With AI continuing to reshape industries, Palantir sits at the intersection of AI and data integration, holding massive potential for the future. The company’s success will ride on government and commercial AI adoption, as well as the expansion of its key platforms. The Setup: While we have scooped up initial entries between $7.50-$10 with multiple secondary entries on the way up, there will be more. This is a high conviction long-term play for the next decade. This is a top buy the dip stock. Key Buy Zones: Any pullbacks to $30, $28, or $21.79 are optimal entry zones for long-term investors. If a government shutdown occurs, it could provide a rare buying opportunity as it would freeze spending temporarily, a catalyst that could help us get in lower before the inevitable resumption of contracts. Long-Term Conviction: Palantir has proved that it's more than capable of scaling in the public sector and AI enterprise. This is a top-tier DCA (Dollar Cost Averaging) candidate, especially for those wanting exposure to the AI sector. We are confident that PLTR will never return to the teens again. Look to build positions on pullbacks for long-term holds. The Targets: $37 : Needs to break over this level to confirm continuation of strength, after which we would be looking for a retest of trend support from November 2022 ($28-$30). $45+ : Long-term target by next year. With sustained strength in AI, the stock could exceed this. $70 : Major long-term target. Palantir is in a prime position to capitalize on AI’s growth trajectory. With strong AI software, deep government contracts, and powerful platforms in the commercial sector, PLTR is a multi-year hold with high upside. Investors should focus on accumulating during pullbacks, as this stock is one of the rare opportunities to ride the AI wave long-term.
P
by PennyBois
Can the Tech Titan Weather the Storm?Nvidia, a leading force in artificial intelligence and semiconductor innovation, is now facing a critical juncture. The company has recently experienced a sharp decline in its stock price, compounded by an escalating antitrust investigation from the U.S. Department of Justice (DOJ). These challenges have sparked widespread concern about Nvidia's future and the broader implications for the tech industry. The DOJ's probe centers on Nvidia's dominance in the AI chip market, with allegations of anti-competitive practices that may limit customer choices. The potential outcomes of this investigation could reshape Nvidia's business and influence the entire semiconductor landscape. As Nvidia navigates these turbulent waters, its response will determine not only its own trajectory but also the future of AI-driven technologies. The company must address regulatory concerns, diversify its revenue streams, and continue to innovate if it hopes to maintain its leadership in the tech world. In this time of uncertainty, Nvidia's ability to adapt and evolve will be crucial in determining whether it can emerge stronger or be eclipsed by emerging competitors.
NASDAQ:NVDAShort
by signalmastermind
Can Japan Weather the Semiconductor Tempest?In the intricate landscape of global semiconductor trade, Japan's recent decision to restrict exports of chipmaking equipment to China has ignited a tempest of geopolitical tensions. The move, while intended to limit China's technological advancements, risks triggering severe economic retaliation from Beijing. As a leading player in the semiconductor industry, Tokyo Electron finds itself caught in the crossfire, grappling with the potential consequences of this escalating dispute. The semiconductor industry, a cornerstone of modern technology, is intricately intertwined with global economies. Disruptions to the supply of advanced chipmaking equipment could have far-reaching consequences, affecting industries from automotive manufacturing to artificial intelligence. The potential for economic retaliation from China, a major market for Japanese exports, further complicates the situation. Japan's decision to impose export controls is driven by a strategic imperative to limit China's technological capabilities. However, this strategy carries significant risks. China has responded with a strong warning, threatening severe economic retaliation. The broader geopolitical context further complicates the situation, as the United States and its allies have been working to limit China's technological advancements. The question remains: Can Japan successfully navigate this delicate balancing act, maintaining its economic interests while adhering to its strategic objectives? The answer to this enigma will likely shape the future of the semiconductor industry and the global technological landscape for years to come.
NYSE:TELShort
by signalmastermind
Island Gap Potential, Dark Pool Buy Zone, HFTsThis stock has the potential to form an island gap, which are caused by High Frequency Trading activity that triggers on news. The gap down was too huge, so fundamentals are above the current price. This would be a gap UP potential at this point, to create the island gap. The lows have been established clearly, so selling short this stock is not wise. But smaller funds and retail may try, as they tend to sell short stocks within a Dark Pool buy zone. Chaikin Osc and Money Flow Index are moving upward but the angle of ascent on price is steeper. The faster price ascent could be rapid accumulation from derivative developers. UIPath creates software for Robotic Process Automation. It was one of the stocks discussed in the Case Study I did with my students in the summer of 2022 on the disruptive new technologies to watch over the next decade.
NYSE:PATHLong
by MarthaStokesCMT-TechniTrader
NVIDIA to $180Overview It's a good mindset to be skeptical about a bull market that doesn't seem like it should exist. The GDP (Gross Domestic Product) has declined for a second consecutive quarter to a 24 month low and the Civilian Unemployment Rate is the highest it's been since Nov 2021. This leads me to believe that the current rally is being mostly fueled by two factors surrounding artificial intelligence: hype and revenue. NASDAQ:NVDA is the leading A.I. developer and hasn't experienced a decrease in quarterly revenue since November 2022. When faced with the unknown -- which in this case would be the direction of the stock market -- people cling to what they know. I believe this will present itself in more clearly defined trading patterns and price-swing predictability. Technicals NVDA is setting up a pattern that resembles the 5 Elliott Impulse Waves with each wave taking between 3-4 months to develop. If accurate, the trough of the 4th wave could find the share price in the proximity of $100-115. I utilized Fibonacci levels against the low of the 2nd wave to the high of the 3rd wave. In addition to helping find a support level for the 4th wave, the uptrend Fibonacci tool also provided a projected price target near $180. I compared the 1.618 (161.8%) micro-Fibonacci retracement to the 1.618 macro-Fibonacci retracement, which consumes the entirety of the already existing patterns. I took the difference of $18.19 between the projected 1.618 Fib levels then created a low and high range where I believe the 5th wave will peak. I ended my projection at this point, however, it is worth noting that impulse waves are followed by correction waves which serve in the opposite trending direction.
NASDAQ:NVDALong
by Shepherd_Investor
6
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
CSCO Layoffs Positive for the StockNASDAQ:CSCO gapped up on its earnings report even though the company has failed to reinvent and failed to change to HyperAutomation in its IT departments quickly enough. News of layoffs is considered a positive action on the part of the officers of the corporation who are responsible first and foremost to INVESTORS and cutting costs so that the company can slowly regain revenues and earnings for dividends for INVESTORS. Delaying layoffs, which may be kind and thoughtful for employees, is a negative for INVESTORS, namely the giant Buy-Side Institutions, because it extends and worsens the financial condition of the company. As more and more companies buy robots/robotics and AI technology, these will reduce payroll expenses and help to control internal business inflation, which is caused mostly by rising payroll expenses with declining productivity from the workforce of the company. This is always misunderstood by retail groups who believe layoffs are a bad thing for the "economy." The world of commerce and the financial markets is not a fair or kind place.
NASDAQ:CSCO
by MarthaStokesCMT-TechniTrader
TSLA Bearish Pennant NASDAQ:TSLA I'm torn on Tesla (TSLA). While I believe Elon Musk is a visionary leader, the stock's short-term outlook appears challenging. Increased pressure from Chinese manufacturers like BYD and broader macroeconomic headwinds make a bullish picture difficult. Tesla is more than just an automaker, with tailwinds from its energy storage, self-driving, and robotics divisions. However, these aren't likely to materialize in the near term. Recent Developments: Broke below 200-day moving average (DMA). Retested and failed to break above the 200-DMA multiple times. Formed a bearish pennant pattern between the 200-DMA and 100-DMA. Bullish Case: TSLA recently broke above a downward trend line and is finding support on the 100-DMA. If this holds, we could see higher highs compared to the most recent run-up. Bearish Case: A break below the bearish pennant while below the 200-DMA could target the previous low this year. While there's a chance of a buying spree at that point, a continued decline is also possible.
NASDAQ:TSLAShort
by Average_Joe_Options
PLTR: Broadening Wedge for an epic ending diagonalOwning PLTR would be a roller coaster ride for the last one year. This move is looking more like a broadening wedge formation. Even though it is not a very common ending diagonal pattern, it still can play out like one. RSI has been steadily making a lower high as price is making higher high. Each impulse is met with crushing correction and invalidated patterns. Long and short equally reckt. All signs point to an ending of an expanded wave 5. Price can hit all time high by end of this year or get close. My target would be at least $40, which would be 1:1 with minute degree wave 3. We should expect a pull back in the next couple of weeks and then a steady move up. I don't have a position but I will be watching this last move carefully to target a short for intermediate degree wave 2 short and followed by a generational entry point for intermediate wave 3. Hopefully, sometimes early next year, opportunity will arise to buy and hold pltr until I retire....
PLong
by mukit1