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Artificialintelligence

few understand how quickly this FET token is going to do 10x title says it all. few understand the strength and speed at which this is going to make a 10x move. likely far more than 10x towards the end of the current new bull cycle. AI-related coins are garnering increasing attention from traders and investors. I personally like the team and project. something to look into if you haven't yet done so. lots of strength in price action has been observed previously in this one. I see it ready to make a 10x move AT LEAST from current level during this renewed buy cycle on BTC. likely by summer 2025. patience will pay sizable returns to those with the discipline required to hold. the token is called Artificial Superintelligence Alliance and ticker is FET on Coinbase. Remember: "The profit isn't made in the buying or the selling, but in the waiting" - Munger
COINBASE:FETUSDLong
by DaveTradesLive
AI -related crypto named VAIOT ready to pump 50-100xwith BTC having confirmed the breakout to a new buy cycle on the monthly tf, we finally have this darling ready to move higher. weekly setup shows full retracement to nearly the bottom of the prior buy structure. breakout above .80 will confirm progression to 1.20 as TP1; once 1.20 is surpassed, I believe the fundamentals and potential of this company will warrant a price in the 5.00$ even 10.00$ ranges so those are the TP2 and TP3 levels. SL at .07 Enjoy. and You're Wellcome!
by DaveTradesLive
Shorts Trapped Into Insider Selling | DELL I've been actively trading DELL with my private community members and I believe the company is gearing up for another positive run. Despite the news about Michael Dell selling more shares, which may have trapped some short-sellers, DELL is making strategic moves such as reducing costs, rejoining the S&P500, and aiming to capture market share from SMCI. With this in mind, I see two potential entry points: a. Enter the trade above $121.50, aiming for $127. b. Enter the trade once it breaks $127, targeting $138. Personally, I prefer the second option. DM me with any questions!
NYSE:DELLLong
by MysticMads
COMMUNE AI or COMai: Collaborative Artificial IntelligenceProject description: COMMUNE AI is a decentralized platform focused on collaborative artificial intelligence, allowing users and developers to create, share, and improve AI models through decentralized data sharing and community-driven AI model optimization, all powered by blockchain. Type of project: Decentralized AI collaboration and data sharing platform. Is it under a block?: Yes, COMMUNE AI operates on Ethereum and compatible blockchains, utilizing smart contracts to enable decentralized collaboration on AI models, data sharing, and token-based incentives for contributions. Latest update or news: As of July 2024, COMMUNE AI launched its AI Model Repository, where users can collaborate on improving AI models in a decentralized manner and earn $COMai tokens for their contributions, driving community engagement and development. Narrative: Decentralized AI, collaborative machine learning, community-driven AI, and blockchain-powered AI infrastructure. Why is it a good investment? Institutional Backers and Angel Investors: Outlier Ventures: Outlier Ventures has backed COMMUNE AI, recognizing its potential to reshape how AI models are built, shared, and optimized by leveraging decentralized collaboration and blockchain technology. Animoca Brands: Animoca Brands, a leader in blockchain gaming and decentralized ecosystems, has invested in COMMUNE AI due to its focus on creating open, collaborative AI infrastructure. Framework Ventures: Framework Ventures has supported COMMUNE AI, seeing the opportunity to develop a decentralized AI ecosystem where users and developers can collaborate on AI solutions in a transparent, incentivized environment. Angel Investors: Ben Goertzel (Founder of SingularityNET): Goertzel, known for his advocacy for decentralized AI, has shown interest in COMMUNE AI’s mission to enable community-driven AI model optimization, though there is no confirmed direct investment. Trent McConaghy (Founder of Ocean Protocol): McConaghy has expressed support for projects that focus on decentralized data sharing and AI collaboration, aligning with COMMUNE AI’s goals of democratizing AI development through blockchain. Futuristic Use Case: Collaborative AI model optimization: COMMUNE AI enables users and developers to work together on optimizing AI models, allowing for continuous improvements through decentralized collaboration and rewarding contributors with $COMai tokens. Decentralized data sharing for AI training: COMMUNE AI’s platform allows users to securely share data for AI model training, ensuring privacy and transparency while improving the quality of AI models. This decentralized approach encourages more participants to contribute valuable data. AI model repository for developers: The AI Model Repository provides developers with access to a wide range of community-driven AI models that can be integrated into various applications, including decentralized finance (DeFi), gaming, and healthcare. Incentive-driven AI research: COMMUNE AI incentivizes AI researchers and developers to contribute to the platform by rewarding them with $COMai tokens, creating a sustainable ecosystem for ongoing AI research and development. Why will it make a significant amount of profits? Unique competitive edge: COMMUNE AI stands out by creating a decentralized, community-driven AI platform that encourages collaboration and knowledge sharing, providing a more open and democratic alternative to centralized AI development environments. Growing demand for decentralized AI solutions: As the need for secure, scalable, and community-driven AI solutions increases, COMMUNE AI’s platform will attract more developers, researchers, and contributors, driving the demand for $COMai tokens. Revenue from collaborative AI services: COMMUNE AI generates revenue by providing access to its decentralized AI model repository and data-sharing services. As more developers and enterprises use the platform, the demand for $COMai tokens will rise, ensuring a sustainable revenue model. Long-term potential in AI and blockchain convergence: As AI continues to play a critical role in industries such as healthcare, finance, and autonomous technology, COMMUNE AI’s decentralized platform is well-positioned to be a leader in the convergence of AI and blockchain, driving long-term value for $COMai token holders.
CLong
by osodatsismoso
Is the Future of Agreements AI-Powered?In today's rapidly evolving digital landscape, the way we conduct business is undergoing a profound transformation. One area that has seen significant disruption is the management of agreements. Traditional paper-based processes are being replaced by electronic solutions, and at the forefront of this revolution is DocuSign. DocuSign has not only pioneered the use of electronic signatures but has also taken a significant step forward by integrating artificial intelligence (AI) into its agreement management platform. This strategic move has positioned DocuSign as a leader in the industry, offering unparalleled efficiency and value to its customers. By leveraging AI, DocuSign's Intelligent Agreement Management (IAM) platform can automate and streamline various aspects of the agreement lifecycle, from creation and negotiation to execution and management. This not only saves time and reduces errors but also provides valuable insights and analytics that can help businesses optimize their operations. Beyond its technological advancements, DocuSign has also demonstrated a strong financial performance, reflecting its ability to capitalize on market opportunities and execute its growth strategy. The company's expansion into new markets and strategic partnerships further solidify its position as a leader in the industry. As we look to the future, it is clear that AI-powered agreement management will play a crucial role in shaping the way businesses operate. DocuSign's commitment to innovation and its strong financial performance make it well-positioned to continue leading the way in this transformative field.
NASDAQ:DOCULong
by signalmastermind
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
NVIDIA Wave Count on the 4-Hour Timeframe 🔥 The Uptrend is Approaching ✨ It appears that the stock has completed wave (3), followed by a corrective pattern 🔀 in the form of a triangle 🔼 currently forming to represent wave (4). The only remaining wave to complete this pattern is wave E 🤌. ✨ To confirm the end of wave (4) and the beginning of wave 1 within wave (5), the following conditions must be met: - Completion of all the ABCDE sub-waves of the triangle pattern. - A breakout above the key level related to wave E. Once these conditions are met, the uptrend is expected to continue. However, If Wave D falls short of the trendline, it could indicate that the market is losing momentum and the triangle pattern may be contracting more than expected. In short, while it’s ideal for Wave D to touch the trendline, minor deviations can still occur without completely invalidating the pattern, but they should be carefully monitored for potential changes in the overall wave structure.
NASDAQ:NVDALong
by chase_ID
WORLDCOIN to $5?WLD has the worst tokenomics right now and is programmed to slow rug 📉🩸. WLD currently has a daily unlock of 3.4 Million tokens ($4.75 million) and monthly unlock of 102 million tokens ($140 million). Worldcoin investors receive 1.3 million WLD daily and worldcoin team receive 1.8 million tokens daily 💩. That's a high sell pressure of $140 million monthly considering that MIL:WLD circulating marketcap is only $600 million. 👉 I think short-term pump and dumps should be expected more often on WLD to attract buyers for exit liquidity but for long-term price forecast.
by chase_ID
Can AI Revolutionize Healthcare?The convergence of artificial intelligence (AI) and healthcare is ushering in a new era of medical innovation. As AI models continue to evolve, their potential to revolutionize patient care becomes increasingly evident. Google's Med-Gemini, a family of AI models specifically tailored for medical applications, represents a significant leap forward in this direction. Google's Med-Gemini's advanced capabilities, including its ability to process complex medical data, reason effectively, and understand long-form text, have the potential to transform various aspects of healthcare. From generating radiology reports to analyzing pathology slides and predicting disease risk, Med-Gemini's applications are vast and far-reaching. However, the integration of AI into healthcare raises important ethical considerations. As AI models become more sophisticated, it is crucial to address concerns related to bias, privacy, and the potential for job displacement. A balanced approach that emphasizes human-AI collaboration is essential to ensure that AI is used to augment rather than replace human expertise. The future of healthcare is undoubtedly intertwined with the advancement of AI. By harnessing the power of AI, we can unlock new possibilities for improving patient outcomes, enhancing medical research, and revolutionizing the way we deliver healthcare. As we continue to explore the potential of AI in medicine, it is imperative to approach this journey with a sense of both excitement and responsibility.
NASDAQ:GOOGLong
by signalmastermind
C3.AI is a great buy opportunity for the rest of the year.C3.ai (AI) has been trading within a Channel Down pattern for more than 1 year (since the August 01 2023 High) and yesterday it almost hit its bottom (Lower Lows trend-line). The 1D RSI breached below the 30.00 oversold barrier, and within this 1 year, it has always been a buy signal. However we can't rule out an extended consolidation or even a slightly Lower Low within those levels until the price recovers fully, but on the long-term and particularly until the end of the year, C3.ai presents a strong buy opportunity on the current level. The previous two Bullish Legs topped on the 0.785 Fibonacci retracement level, so our Target is 28.50 (marginally below it). ------------------------------------------------------------------------------- ** Please LIKE 👍, FOLLOW ✅, SHARE 🙌 and COMMENT ✍ if you enjoy this idea! Also share your ideas and charts in the comments section below! This is best way to keep it relevant, support us, keep the content here free and allow the idea to reach as many people as possible. ** ------------------------------------------------------------------------------- 💸💸💸💸💸💸 👇 👇 👇 👇 👇 👇
NYSE:AILong
by TradingShot
NVDA is just getting started. NASDAQ:NVDA NVDA has been making headlines recently, with a significant bounce off support in the mid-90s and a successful breach of both the 100 and 50-day moving averages. This technical bullishness was further reinforced by the strong demand and growing penetration of AI into various markets. However, the post-earnings retreat below the 50-day moving average has introduced a layer of uncertainty. While the overall technical picture remains positive, a closer look at the chart reveals an unfilled gap in the $109-$113 range. This gap represents a potential area of resistance that could hinder further upside momentum. Filling the Gap and Reaching New Heights If NVDA can successfully fill this gap, it could open the door for a more sustained upward trajectory. The stock's strong fundamentals, driven by the growing demand for AI and data center solutions, provide a solid foundation for continued price appreciation. NVDA has recently broken above the upper resistance of a negative channel, but was unable to find support at these levels. Watch for this resistance to be broken again and serve as support for further upward movement.
NASDAQ:NVDALong
by Average_Joe_Options
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 Adds $330 Billion in a Single DayNvidia's stock valuation skyrocketed, adding $330 billion in a single day, surpassing its prior record gain of $277 billion. This increase was fueled by Microsoft announcing a 60% increase in AI spending for 2024, totaling $69 billion. Consequently, Nvidia's stock price surged nearly 13%, elevating its market cap to $2.88 trillion and making it the third-most valuable company globally, behind Apple and Microsoft. Despite this record-setting performance, Nvidia faced a tumultuous July, with its stock price decreasing by 16% throughout the month, closing down 5% despite a partial recovery. This decline reflected broader market volatility, as seen in the Nasdaq’s 1.5% drop. On Tuesday, Nvidia's shares dipped 7%, testing the crucial $100 support level. However, the positive response to Microsoft's investment suggests Nvidia might maintain its momentum above this critical threshold. Last month, the stock hit multiple highs, peaking at $140 on June 20, indicating strong market confidence. For Nvidia to surpass this record high, its stock would need an additional 20% gain. If you enjoyed this post, make sure to like, and follow for more quality content! If you have any questions or comments, comment below. We reply to every comment! See below for more information on our trading techniques. As always, keep it simple, keep it Sublime.
NASDAQ:NVDALong
by Sublime_Trading
How to Use Artificial Intelligence for Stock TradingHow to Use Artificial Intelligence for Stock Trading As you may know, AI can mimic human intelligence and make decisions based on data analysis. Artificial intelligence can be used in stock trading to analyse historical market and stock data, generate investment ideas, form portfolios, and automatically buy and sell stocks. AI is able to quickly process huge amounts of data and make informed trading decisions. AI-based trading strategies can be used to identify patterns and trends in real time. This FXOpen article explores the process of using artificial intelligence in stock trading and highlights the pros and cons of AI automated trading. How Does Trading with AI Work? Using AI for trading stocks is a relatively new practice. AI analyses markets with accuracy and efficiency and makes forecasts that help traders mitigate risks and provide higher potential returns. Here’s an overview of how AI stock trading works. The first stage needed for an AI model to function properly is robust data collection and preprocessing. This stage is akin to gathering raw materials to create a final product. During the second stage, specialists load historical data and algorithms into the model, which serve as the basis for identifying trends and price fluctuations that took place in the past. This way, the model obtains the information it will then analyse and learns how to analyse it. During the third stage, the model uses real-time data from various sources, such as financial news and economic indicators, to make forecasts. As new data becomes available, the models can be adjusted and refined. The best AI stock trading software can only be created using cleaned, structured, and prepared data. The final stage includes making trading decisions, such as when to buy or sell stocks, based on the processed data. AI systems can execute trades automatically. AI can also manage investment portfolios by adjusting the allocation of assets depending on market conditions. What to Look Out for When Using AI in Trading When creating an AI system for trading, choosing the most appropriate algorithm is of paramount importance. There’s a wide range of algorithms; for example, support vector machines (SVMs) are well suited for classification tasks and recurrent neural networks (RNNs) for sequence prediction. The choice of algorithms depends on trading goals and the type of data a trader will be working with. It’s a good idea to look at performance metrics such as accuracy, precision, recall, and F1 score to determine which algorithm is the best fit for your trading strategy. If you decide to implement AI in stock market trading, you’ll need to pay attention to a few things that will allow you to minimise risks. Risk Management and Control Although AI offers many benefits in trading, it creates a new set of risks, in particular, the risk of automated decision-making. It’s important to have human oversight to ensure that the AI is making informed decisions. Human expertise helps identify potential risks and adjust the AI model as needed. Traders can take precautions, such as setting stop-loss and take-profit levels, to make sure that AI algorithms do not cause excessive losses. Data Quality Poor-quality data can lead to inaccurate predictions and incorrect trades. It’s important that the data uploaded to the system is accurate, relevant, and up-to-date and that the AI stock market trading software provider is trustworthy and reliable. Ideally, an AI system will continuously analyse incoming data and adapt to changing market conditions. For example, if an unexpected economic event occurs, the AI model must be capable of adjusting its strategies in real time. Regulatory Compliance The adoption of AI in trading also brings forth regulatory challenges. When using AI, it is critical to comply with financial regulations to avoid legal issues. This includes ensuring that the AI model is transparent and explainable and that it does not engage in illegal activities such as insider trading. AI trading strategies should comply with all relevant laws. Case Studies and Examples One real-life example of successful AI adoption in trading is the case of the hedge fund Renaissance Technologies, which uses proprietary trading algorithms based on artificial intelligence. The New York-based hedge fund has a reputation as one of the most successful investment companies in the world using AI. Bridgewater Associates, also one of the world’s largest hedge funds, uses AI to analyse market data and make trading decisions. The fund has been successful in using AI to identify patterns and trends in market data. The third example is the use of AI in high-frequency trading. High-frequency trading involves using algorithms to execute trades at high speed. AI makes it possible to execute trades with speed and accuracy that exceeds human capabilities. Benefits and Challenges of AI Trading The new technology has both advantages and pitfalls. Here’s a table summarising the benefits and challenges of using AI algorithmic trading. Benefits - Increased efficiency - Improved accuracy - Effective risk management - Real-time analysis - Diversified trading strategies - Enhanced liquidity management and execution of large orders - Improved decision-making Challenges - Low-quality data - Overfitting - Limited human oversight - Compliance with financial regulations - Cost - Potential for increased complexity - Potential for reduced transparency Using AI can result in increased efficiency, improved accuracy, effective risk management, and much more. Of course, there are other ways to analyse the market. For example, on the TickTrader trading platform, you can trade using advanced tools for analysing and assessing risks. Data quality issues, model overfitting, and limited human oversight are the potential risks that can hinder the effectiveness of trading. To mitigate these challenges, consider validating data, testing the model, and adapting to evolving market conditions. Final Thoughts AI allows traders to analyse vast amounts of data, identify patterns, and make informed decisions quickly. However, it’s important to manage and control the risks associated with the use of AI in trading. Carefully consider the challenges and limitations and endeavour to take steps to mitigate them. You can open an FXOpen account to start trading, and as you gain experience, consider implementing advanced technologies, including AI. This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
NASDAQ:TSLAEducation
by FXOpen
6
Microsoft Earnings Raise Fears Over AI Spending. Bubble Go Pop?Playing catch-up is big among the highflyers of technology as the Magnificent Seven club races to slurp up AI demand. But is AI spending going to lead to AI bonanza? It’s not that straightforward. Microsoft (ticker: MSFT ) reported its earnings update for the spring quarter Tuesday after the closing bell. But it failed to appease investors who seem to be waking up to a reality where the billions of dollars jammed into artificial intelligence might not that easily convert into coveted profits. The AI-optimistic large-cap behemoth has spent piles of cash on advancing its artificial-intelligence capabilities without much to show for it. Markets punished the stock in after-hours trading with shares diving as deep as 8% — a drop that later recovered but still lingered under the flatline. “Throw Some AI in There, They’ll Love It” You know how much CEOs love to throw AI in their earnings calls? Microsoft boss Satya Nadella praised the company’s AI efforts in the call with shareholders but even the overuse of AI couldn’t bring the feelgood factor. Microsoft’s AI-powered cloud business, Azure, grew 29% in the three months to June, falling short of expectations and undershooting the 31% growth in the previous quarter. The company rushed to patch it up and assuage spooked investors, saying the slowdown was due in part to demand for AI running ahead of capacity. Microsoft: Throws $55.7 billion in capital expenditures. AI: * giggles, burps * "Thanks for the cash." For the past three months — the company’s fiscal fourth quarter — Microsoft saw its capital expenditures balloon by almost 80% year-over-year to $19 billion. Moreover, for fiscal 2024, total capital expenditures, or how much the company spent on new stuff, hit $55.7 billion — a figure that is likely to get surpassed next year as Microsoft projects increased spending on AI. Microsoft’s quarterly results are the latest example, after Google’s (ticker: GOOGL ) flop of an earnings report and Tesla’s (ticker: TSLA ) profit-squeezing quarter , of Big Tech’s lofty aspirations when it comes to AI. And the pushback reaction from investors shows that expectations are so high, it’s near-impossible to beat them. Big Tech is racing to build out the infrastructure layer that will allow AI to scale so it can start churning out a profit. But the going has recently gotten tough. The Magnificent Seven club of tech mainstays washed out more than $1.5 trillion from its collective market value in the past three weeks. The question that lingers on investors’ minds right now is how long can markets stay patient before they see revenue growth from AI materialize? Let Us Know Your Thoughts! With all the hype around AI, do you see a bubble in the works? Or justified no-froth, no-nonsense valuations? Share your thoughts below!
Editors' picks
NASDAQ:MSFT
by TradingView
25
Amazon at $2 Trillion: What’s Driving the Stock to Record Highs?Tripled profits, a bet on AI, and a strategy to take on rising rivals from the East have propelled the ecommerce and cloud computing giant to the lofty price tag. Innovation on Amazon’s Mind Amazon (ticker: AMZN ) hit $2 trillion in market value just before the year clocked out for the first half. In the final week of June, the Jeff Bezos-founded online retailer soared past the formidable milestone, becoming the fifth company to ever breathe the rarefied air beyond $2 trillion. What’s been driving Amazon stock to line up right after Alphabet (ticker: GOOGL ), Nvidia (ticker: NVDA ), Apple (ticker: AAPL ) and Microsoft (ticker: MSFT )? It’s a mix of fortunate and timely events, and all can be summed up with one word: innovation. Amazon raked in sky-high profits of $15 billion for the most recent quarter. The figure was up three times from the same quarter last year. More importantly, the company, now under the stewardship of Andy Jassy as chief exec, is pivoting more resources to meet the growing demand for artificial intelligence. Shifting Focus to Artificial Intelligence Amazon Web Services (AWS) is the firm’s cloud computing business and also the world’s biggest one. It’s largely the cash cow at Amazon with profit margins as wide as 38%. Now, it’s getting a boost from businesses looking to inject AI into their products and services. The fast-growing AI-focused unit is growing at a “$100 billion annual revenue run rate,” according to Jassy. For the quarter ended March 31, AWS sales rose 17% to $25 billion, beating forecasts for $24.5 billion and also coming ahead of the previous quarter’s 13% growth pace. It seems that the AI hype is sweeping across the Amazon halls and conference rooms. Generative AI got praised by Amazon’s chief financial officer Brian Olsavsky as “a multibillion-dollar revenue run rate business for us.” Looking for a meaningful edge doesn’t stop with artificial intelligence. Pitted Against Temu and Shein Rising ecommerce competition from the East is forcing the $2 trillion giant to embrace a new line of business — ultra-low-cost goods shipped directly from China. A new discount section is in the works for Amazon.com after smaller rivals Temu and Shein have threatened to slurp up a significant market share. The new section, according to reports, will be added to the homepage of the retailer’s app. It will be targeting American customers willing to wait nine to 11 days for goods shipped from China warehouses, as opposed to the regular one or two-day delivery time for goods delivered from within the US. Also, each item will get a price tag of no more than 20 bucks. Temu, owned by PDD Holdings, and China-founded Shein have flooded the internet with cheap stuff and massive discounts thanks to splurging billions of dollars in advertising campaigns. Amazon, a mainstay in the FAANG stocks list , is among the few companies to be of gargantuan size yet nimble enough to stay relevant in the changing landscape of its industry. Will the pivot to cheap goods succeed in stamping out the aggressive competition from China? Or will the corporate giant be outperformed by the brilliant maneuvering of low-caliber foreign retailers? Share your thoughts in the comments!
Editors' picks
NASDAQ:AMZN
by TradingView
5
DELL moves higher in continuation LONGDELL on the weekly chart shows its bullish trend which accelerated this past March as shown on the Prive Volume Trend. The relative volume indicator shows some spiking blue volume bars of buying volume = 3 of the 13 weeks in the past quarter. I see this as a long swing trade or even an investment to hold at an easy to get into price compared with SMCI. DELL may be a bit overbought and overextended but I am convinced it is for good reasons and that a trade here will pay profit over time. The dip of 5% in the past trading day provides a good entry.
NYSE:DELLLong
by AwesomeAvani
Bittensor the Bitcoin Of Artificial IntelligenceElliot Wave Pattern: The chart shows an Elliot Wave pattern in which waves 1, 2, 3, 4, and 5 are identified. Currently, the price is in the corrective area of ​​wave C. This implies that the correction may be nearing its end and a potential reversal towards the next impulsive wave may occur. The next rally will be the very impulsive based because we are in major wave 3. Fibonacci Retracement: The price is currently around the 0.618 (approx. $308.16) and 0.5 (approx. $393.81) Fibonacci retracement levels. This level is often considered a strong support level in technical analysis. If the price manages to stay above this level, a significant upward movement is likely. Bullish Divergence on RSI: The RSI (Relative Strength Index) indicator shows a bullish divergence, which means that even though prices are falling, purchasing power is starting to increase. This is often a signal that the price will reverse upwards. Price targets: Potential price targets based on Fibonacci extensions are approximately $1,003.05 (1.618) and $1,409.51 (2.618). This indicates the potential for a large increase from the current price if a reversal occurs. EMA (Exponential Moving Average): The price is currently below the 21-day EMA, which serves as dynamic resistance. A break above this EMA will provide additional confirmation that an uptrend is underway. Taking into account the factors above, TAO/Bittensor has the potential to experience a significant increase if the price manages to stay above the critical support level and there is confirmation of the bullish divergence on the RSI.
Long
by CryptoWizard_
1