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ALPHABET INC.CL.A DL-,001AA

ALPHABET INC.CL.A DL-,001

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GOOGLE Short-term correction is another longterm buy opportunityLast time we looked at Alphabet Inc (Google/ GOOG) almost two months ago (February 27, see chart below) we caught an excellent buy entry and even tough the price dipped some more after, it is approaching our 168.00 Target: Yesterday's strong bearish 1D candle serves as an early signal that the stock can pull-back to its 1D MA50 (blue trend-line) again on the short-term before resuming the long-term bullish trend. After all this is not unfamiliar to Google's 15-month Channel Up pattern, which had a similar 1D MA50 pull-back on numerous occasions, the shortest of which has been -10.45%. Due to the fair symmetrical attributes of the Higher Highs as well, we revise our Target and place it even higher at 175.00 (+22.18% projection from the expected Low). ------------------------------------------------------------------------------- ** 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. ** ------------------------------------------------------------------------------- 💸💸💸💸💸💸 👇 👇 👇 👇 👇 👇
NASDAQ:GOOG
by TradingShot
1
Google Goes is DownBearish divergence in stock trading occurs when the price of an asset forms higher highs while the corresponding indicator, such as the Relative Strength Index (RSI) or Moving Average Convergence Divergence (MACD), forms lower highs. This suggests weakening momentum and potential for a downward move in price. The possibility of a move down depends on various factors such as market conditions, volume, and other technical indicators, but it indicates a higher probability of a downward correction or trend reversal. In trading, all we have is probability and risk management. I’m entering at the re-test of today’s low. Join me.
NShort
by kingjtimothy
AI vs. AGI: The Race for Performance, Battling the Cost?Artificial intelligence (AI) has become ubiquitous, transforming industries and powering everything from facial recognition to self-driving cars. However, the dream of Artificial General Intelligence (AGI) – machines with human-level intelligence and understanding – remains elusive. Let's delve into the key differences between AI and AGI, particularly regarding their performance and the immense computational cost that hinders AGI development. AI: The Specialized Powerhouse Current AI excels in specific tasks. Deep learning algorithms trained on massive datasets can identify objects in images with superhuman accuracy, translate languages with remarkable fluency, or play games at a level surpassing even the most skilled humans. This specialization, however, comes at a cost. AI systems often struggle with tasks outside their narrowly defined domain. For example, an image recognition AI trained on cat pictures may misidentify a dog as a cat due to a lack of broader understanding. Computationally, AI can be quite efficient. While training complex models requires significant resources, once trained, they can run on relatively inexpensive hardware. This efficiency is crucial for real-world applications where cost is a major factor. AGI: The Elusive Generalist AGI represents the holy grail of AI research – a machine that can learn, reason, and adapt to new situations just like a human. Such an intelligence would have applications beyond our wildest dreams, revolutionizing every aspect of society. However, achieving AGI presents a significant challenge. The human brain, with its intricate network of neurons and complex processes, is a marvel of biological engineering. Replicating this level of intelligence artificially requires immense computational power. Training AGI models on the vast amount of data needed for general knowledge would require massive computing clusters, consuming enormous amounts of energy. This not only raises practical concerns about cost but also environmental ones. The Road Ahead The quest for AGI continues, with researchers exploring various avenues. Neuromorphic computing, which attempts to mimic the structure and function of the brain, holds promise for more efficient learning algorithms. Additionally, advancements in hardware, such as specialized AI chips, could help reduce the computational burden. While the development of true AGI might still be far off, the ongoing research paves the way for more powerful and versatile AI. By optimizing existing algorithms and developing new computational architectures, we can bridge the gap between specialized AI and the dream of a general artificial intelligence. This journey will require innovation not just in AI research but also in sustainable energy solutions to power these future advancements. 1Current AI vs. Non-existent AGI: By definition, there is no true AGI (Artificial General Intelligence) yet. So, in that sense, current AI excels in its specific field because AGI wouldn't have a "field" in the same way. Specialized AI vs. Hypothetical General AGI: If an AGI ever emerges, it's unlikely to directly compete with specialized AI in their narrow domains. Here's why: Specialization is Key: Current AI thrives because it's laser-focused on specific tasks. An AGI, with its broader intelligence, might not be as efficient for these tasks. Different Tools for Different Jobs: Imagine needing to hammer a nail. You wouldn't use a Swiss Army knife (the AGI) when a simple hammer (the specialized AI) is perfect for the job. Outperform in Unfamiliar Situations: While a specialized AI might struggle with anything outside its training data, an AGI could potentially adapt and learn new tasks more readily. Revolutionize the Field: An AGI might not directly "beat" a specialized AI, but it could completely redefine how a task is approached, leading to even more powerful AI solutions. DeepMind, a leading AI research lab owned by Google, is tackling a wide range of ambitious projects. Here are some highlights: Healthcare: DeepMind Health is applying AI to medical challenges. They've collaborated with hospitals to develop algorithms for analyzing eye scans for early signs of blindness and differentiating healthy from cancerous tissues. Scientific Discovery: DeepMind's AlphaFold project has made significant strides in protein folding prediction, a critical step in understanding diseases and developing new drugs. Efficiency and Sustainability: A collaboration with Google AI led to WaveRNN, a method for improving audio call quality, even with dropped packets. Their AlphaFold project itself has the potential to accelerate discoveries in clean energy and materials science. Gaming and Robotics: DeepMind's AI agents have achieved superhuman performance in complex games like StarCraft II. Their AlphaFold project demonstrates the potential for AI-powered robotics in scientific experimentation and materials creation (Project A-Lab). AI for the Future: DeepMind's efforts extend beyond specific applications. Their Visualising AI program commissions artists to create thought-provoking pieces that challenge how we perceive AI. Additionally, their recent release of Gemma, a state-of-the-art open model, promotes responsible AI development by making research tools more accessible. These are just a few examples. DeepMind is constantly pushing the boundaries of AI research, aiming to use this technology for positive impact across various fields. You can find more details on their latest projects on their website
NEducation
by Moshkelgosha
Google Cloud Expands Reach in Finance Sector with Innovative AI In a strategic move aimed at revolutionizing the financial landscape, Google Cloud ( NASDAQ:GOOG ) has announced groundbreaking partnerships with three industry leaders, signaling a significant leap forward in the adoption of cutting-edge technology within the sector. At the forefront of these collaborations is Citadel Securities, a powerhouse in the capital markets arena. Building upon a seven-year relationship, Citadel Securities is poised to elevate its quantitative research platform to unprecedented heights with the aid of Google Cloud's advanced technology. With features designed to enhance performance profiling, efficiency monitoring, and research productivity, the platform promises to revolutionize trading operations, solidifying Citadel Securities' position as a frontrunner in the industry. Meanwhile, in Canada, Scotiabank is set to leverage Google Cloud's Vertex AI solution to drive innovation in language models and generative AI. This strategic partnership underscores Scotiabank's commitment to enhancing security and client experience through cutting-edge chatbot technology and AI-driven search tools. By harnessing the power of Vertex AI, Scotiabank aims to deliver unparalleled service excellence while staying ahead of the curve in an increasingly competitive market. Joining the ranks of innovators is Discover Financial Services, a stalwart in digital banking and payment services. By integrating Google Cloud's AI capabilities, Discover is poised to revolutionize its contact centers with real-time search assistants, enhanced self-service options, and intelligent document summarization tools. This transformative initiative underscores Discover's unwavering commitment to delivering superior customer experiences and driving operational efficiency through the power of AI. These strategic partnerships mark a pivotal moment in the financial industry's digital transformation journey, highlighting the growing appetite for cloud capabilities and AI-driven solutions. With Google Cloud ( NASDAQ:GOOG ) at the helm of innovation, financial institutions are empowered to unlock new possibilities, drive growth, and stay ahead in an increasingly dynamic and competitive landscape. As Google Cloud ( NASDAQ:GOOG ) continues to push the boundaries of what's possible, these collaborations serve as a testament to the company's unwavering commitment to driving technological innovation and empowering businesses to thrive in the digital age. With transformative solutions and strategic partnerships, Google Cloud ( NASDAQ:GOOG ) is redefining the future of finance, one breakthrough at a time.
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by DEXWireNews
1
GOOGL - After every Storm, there is a Rainbow 🌈Hello TradingView Family / Fellow Traders. This is Richard, also known as theSignalyst. 📈 GOOGL has been overall bullish, trading within the rising rainbow wedge pattern. Currently, GOOGL is in a storm 🌪/ correction phase and it is approaching the lower bound of the wedge acting as a non-horizontal support. Moreover, it is retesting a strong support zone at $128 marked in blue. 🏹 Thus, the highlighted blue circle is a strong area to look for buy setups as it is the intersection of the blue support and lower rainbow trendline. 📚 As per my trading style: As #GOOGL is around the blue circle zone, I will be looking for bullish reversal setups (like a double bottom pattern, trendline break , and so on...) 📚 Always follow your trading plan regarding entry, risk management, and trade management. Good luck! All Strategies Are Good; If Managed Properly! ~Rich
N
by TheSignalyst
11
Google's Dive: Next Stop Wave 2? Google is currently experiencing a significant drop, just as expected, with a decline of more than 3%. We should soon be at a point to conclude Wave A of this correction, then move upwards into Wave B, and finally downwards into Wave C. The exact development remains uncertain. Google moves very similarly to Apple, yet they are not in an identical cycle. We don't foresee a possibility of a much deeper fall, perhaps only a retest of the $83.34 level. However, we shouldn't fall much below that. We're anticipating that we are in a Wave (2), which should reach between 50 and 78.6%. This places Google's level between $119 and $99 in this scenario. We will keep you updated on the type of correction—zigzag or flat—we are dealing with. For now, we strongly believe that we will soon see this Wave (2) materialize.
NLong
by stromm
GOOGL upside tgts hit. Bearish energy.I had an old idea from the end of January on GOOGL when I attempted to get an idea of what to expect for earnings with my dowsing work. It wasn't the greatest, but there was some relevance, and now over 2 months later, GOOGL has reached slightly above the original $156-57 target and the energy is now bearish. I ask what the target is and get the $130 level. I don't like that it perfectly lines up with those prior lows because in my past experience, this can just be pointing out an important low. So, I ask for a second level and get $137. Possibly $139, so watch around there. That's all for now.
NShort
by JenRz
Practice GOOGL earnings btdMy dowsing chose this one out of the options available on the earnings whisper calendar posted on X, so I had to see what's up. I've avoided earnings for awhile, but it's good practice, so here goes: Watch for a spike down and reverse up. Low around 12 pts down = $139ish possibly 138 Time of day to look for the low or reversal up: 12:50-1:00 I've experimented with times quite a bit with /ES and it's mostly good, but most often reflects the time before an actual directional move and can be a higher low/lower high kind of idea. So don't expect it to necessarily be the dead lows, and sometimes it's just plain wrong. I'm interested in this though since my pendulum chose this stock out of all the other ones. I'll update with a target if this seems to be the scenario.
N
by JenRz
1
Google Unveils New AI Chip for Data CentersIn a groundbreaking move, Google ( NASDAQ:GOOG ) has introduced its latest innovation in the realm of artificial intelligence with the unveiling of the Axion chip. Representing a significant leap forward in processing power, the Axion chip marks Google's foray into the Armv9 architecture, promising unparalleled performance and efficiency. Designed exclusively for deployment within Google's cloud infrastructure, the Axion chip sets a new standard for data center processing capabilities. With an emphasis on maximizing performance while minimizing energy consumption, the Axion chip boasts a remarkable doubling in performance compared to its predecessors. This leap in processing power enables Google to offer developers access to clusters comprising a staggering 8,960 Axion processors, setting the stage for unprecedented computational capabilities. One of the most striking features of the Axion chip is its superiority over rival offerings in the market. Google developers assert that the Axion chip outperforms similar Arm processors from competitors like AWS and Microsoft by an impressive margin of 30%. Furthermore, when compared to Intel's x86 chips, long regarded as the industry standard, the Axion chip demonstrates a remarkable 50% increase in performance. Despite Google's reticence regarding specific benchmarks and technical specifications, industry experts are already buzzing with excitement over the potential implications of the Axion chip. Its arrival heralds a new era of innovation and competitiveness in the data center landscape, with Google poised to maintain its position at the forefront of technological advancement. As Google ( NASDAQ:GOOG ) continues to push the boundaries of AI and machine learning, the Axion chip represents a key milestone in the company's quest to unlock the full potential of data-driven insights. With its unrivaled performance and groundbreaking architecture, the Axion chip is set to revolutionize the way data centers operate, paving the way for a future powered by intelligent computing. In conclusion, Google's unveiling of the Axion chip marks a significant milestone in the evolution of data center technology. With its unparalleled performance and game-changing capabilities, the Axion chip promises to shape the future of AI-driven innovation, cementing Google's position as a trailblazer in the field of computational intelligence.
NLong
by DEXWireNews
GOOG- a cup and handle in formation LONGGOOG on the daily time frame showa a cup and handle pattern beginning at the November 21 high from the uptrend out of the Covid "crash" Price has printed the cup and returned to the same price level of about 150 ; A handle is forming now. The cup and handle pattern forecasts a bullish continuation from that price level to the extent of the height of the cup. Accordingly, this would be from about $ 150 to about $220. Daily charts have high reliability as do cup and handle patterns. The RSI indicator shows strength in the 50-60 range so GOOG has a long way to go before being overbought. . Once price is over $ 150, I will initiate a position on GOOG shares and look to also take call options striking $150 for late 2024 or 2025.
NLong
by AwesomeAvani
GOOG- now at ATH completing A Cup and Handle LONGGOOG as shown on the daily chart has completed a cup and handle and has the momentum of moving up to its previous ATH set 2/1/24 and November '21. This could forecast bullish continuation to add $50-70 onto current price as so 30% onto the market cap. GOOG has been relatively stable in the current general market environment. Earnings are coming in three weeks. Google is dependent on ad revenues primarily and so its income stream is relatively narrow focused no matter the variety of its services. I will take a long trade here expecting good price movement heading into earnings with a trim of the position just before earnings and stop loss adjustments at increments to diminish.
NLong
by AwesomeAvani
Alphabet Inc (Google) Class AWeekly chart in logarithmic scale. Friend indicator @Julien_Eche 1. Overall Trend: - The chart shows a long-term bullish trend for Google's (GOOGL) stock. The share price has seen steady progression from 2009 to 2024. 2. Trading Channel: - A well-defined trading channel can be identified, with parallel trendlines that establish the range of fluctuations in the long run. - The price moves within this channel, with regular bounces off the support and resistance lines. 3. Consolidation Phases: - Some consolidation phases are observed, where the price has seen lateral movements, such as in 2011-2012 and 2018-2019, before resuming the uptrend. 4. Upside Potential: - Currently, the price seems to be near the upper limit of the channel, suggesting limited upside potential in the short term. - However, the trading channel implies the possibility of continued long-term bullish trend, if the price can decisively break above this current resistance level. In summary, the chart displays a long-term bullish trend for Google's stock, with a well-established trading channel that frames the price fluctuations. This suggests further upside potential, provided the price can overcome the current resistance. Make up your mind before placing an order. ► Please boost, comment, subscribe!
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by DL_INVEST
Alphabet Inc. (GOOGL) Stock in Focus.In this session, we've witnessed Alphabet Inc. (GOOGL) closing at $150.53, down by 2.83% from the previous close. Our technical analysis aims to dissect Alphabet's current chart patterns and indicators to guide prospective market insights. Ichimoku Cloud Analysis: GOOGL's price is floating above the Ichimoku Cloud, indicating a bullish trend in the intermediate term. However, it's crucial to observe that the price is in proximity to the cloud. A break below could signify a trend reversal, while remaining above the cloud supports bullish sentiment. Bollinger Bands: The stock price is currently trending towards the upper Bollinger Band, suggesting it is approaching potentially overbought levels. Given the price pullback on the most recent trading day, investors may watch for stabilization or a bounce off the moving average to maintain bullish control. Fibonacci Retracement Levels: The Fibonacci retracement, drawn from a swing low of approximately $127.85 to a swing high near $151.78, provides key levels of support and resistance. With the price hovering above the 61.8% retracement level at $138.48, this area serves as an important support zone for any pullbacks. Volume Analysis: The volume shows noticeable spikes on certain days, indicating specific sessions of heightened trading activity. This increased volume, particularly on up days, typically signifies strong buyer interest. RSI (Relative Strength Index): The RSI indicator is hovering around 57.44, which leans toward the higher side of the neutral range but is not yet in the overbought territory (typically considered to be above 70). This suggests there is room for potential upside before the stock becomes overextended. Earnings Overview: Alphabet's quarterly financial performance, revealing a downtrend in revenue and net income over the past quarters. The net margin percentage has also shown a decline. This financial trajectory may influence investor sentiment, possibly leading to increased volatility in the stock price. Conclusion: Alphabet Inc. (GOOGL) maintains a bullish stance from a technical standpoint, primarily supported by its position above the Ichimoku Cloud and the recent trading above key Fibonacci levels. Nonetheless, the recent downturn in price coupled with declining financial performance could cause concern. Investors should monitor whether the stock will hold above the Ichimoku Cloud and the 61.8% Fibonacci retracement level to confirm bullish persistence. A continued RSI under 70 allows for a bullish interpretation but warrants vigilance against potential reversals, especially if the earnings trend continues its downward slope. Market participants may consider this an opportune moment to scrutinize Alphabet's ability to sustain its current levels or if market conditions might compel a reevaluation of the bullish sentiment. Please note, the provided technical analysis is for informational purposes and should not be taken as financial advice. Always conduct thorough research and consider financial advisories before making investment decisions.
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by AxiomEx
Google's Gamble: Will Users Pay for Premium AI-Powered Search?Google ( NASDAQ:GOOG ) is reportedly exploring the possibility of charging users for access to new "premium" search features driven by generative AI technology. This potential pivot marks a significant departure for Google ( NASDAQ:GOOG ), as it considers putting a portion of its core Search product behind a paywall for the first time. As Alphabet Inc ( NASDAQ:GOOG ) shares initially surged on the news before retracing, the market is abuzz with speculation about the implications of this strategic shift and its potential impact on Google's bottom line and the broader digital ecosystem. The Premium Search Paradigm: According to a report by the Financial Times, Google ( NASDAQ:GOOG ) is mulling over the introduction of premium search features powered by generative AI, with options including integrating these capabilities into its existing premium subscription services. This move would represent a paradigm shift in Google's approach to monetizing its core Search product, potentially unlocking new revenue streams while offering users enhanced functionality and insights. Navigating Uncertainty: While engineers are reportedly in the process of developing the technology necessary for a paid service feature, executives have yet to make a final decision on its implementation. This uncertainty underscores the complexity of the decision and the potential risks and rewards associated with monetizing Google's search capabilities. As Google ( NASDAQ:GOOG ) weighs its options, industry observers are closely monitoring developments and speculating on the potential ramifications for the company's business model and competitive positioning. Competition in the AI Search Arena: Google's exploration of premium AI-powered search features comes amidst intensifying competition in the AI search space. Microsoft's launch of Copilot, an AI-powered search tool leveraging OpenAI's ChatGPT technology, signals the growing convergence of AI and search technology. With Google's traditional search engine generating substantial revenue from ads, the introduction of premium features could represent a strategic countermove to maintain its competitive edge and capture additional market share in the evolving digital landscape. Financial Implications: Google's Search business and related ads accounted for a significant portion of Alphabet's total revenue in 2023, highlighting the critical role of Search in driving the company's financial performance. The potential introduction of premium search features could have profound implications for Google's revenue diversification efforts and its ability to monetize user engagement. While initial market reaction to the news was positive, with Alphabet shares surging before retracing, the long-term implications remain uncertain as investors assess the potential risks and rewards of Google's strategic pivot. Looking Ahead: As Google ( NASDAQ:GOOG ) navigates the complexities of monetizing its search capabilities, the company faces a pivotal juncture that could shape the future of online search. Whether users are willing to pay for premium AI-powered features and how competitors respond to Google's strategic move will be key factors shaping the outcome. As Alphabet shares fluctuate in response to evolving market dynamics and regulatory scrutiny, the broader implications of Google's potential pivot in search monetization will continue to unfold, offering insights into the evolving dynamics of the digital economy.
NLong
by DEXWireNews
GOOGLE $GOOG - Feb. 26th, 2024GOOGLE NASDAQ:GOOG - Feb. 26th, 2024 BUY/LONG ZONE (GREEN): $144.50 - $154.80 DO NOT TRADE/DNT ZONE (WHITE): $139.60 - $144.50 SELL/SHORT ZONE (RED): $131.15 - $139.60 Weekly: Bullish Daily: DNT 4H: Bearish The zone around $140 has been supported to the bullish side three times since Jan. 17th, 2024. Currently price is back at the zone after creating bearish structure on the 4h timeframe with strong downside momentum. Price has respected the level at $146.10 to the bearish side and broke below the $144.50 on the daily timeframe which is the start of the DNT zone and the potential start of entry into the bearish zone. Bulls can look for rejections up from the $140 area or breaks above the $144 level/structure (daily timeframe). Bears can look for continuation below the $140 area or a pullback and rejection of the $144 level (daily timeframe). This is what I would personally look at before entering trades, everything is subject to change on a daily basis and as I analyze different timeframes and ideas. ENTERTAINMENT PURPOSES ONLY, NOT FINANCIAL ADVICE!
N
by TonyAiello
2
GOOGL to Low $100s?Overview Google ( NASDAQ:GOOGL ) is in the dangerous territory of a double top formation. I've discovered this same macro-pattern with a few other assets as well. In combination with a rise in long-term Treasury Yield Curve rates since December 2023, I think a rush of selling pressure could be around the corner. Technical Analysis Utilizing Fibonacci retracement levels along with historical supports & resistances, the $126-136 range appears to be a key level in the share price. The double top formation is a bearish reversal pattern that resembles the letter "M" and, when valid, the second peak is greeted with significant selling pressure. According to technical indicators GOOGL is beginning to reveal the symptoms of a bearish reversal. The share price has risen on dwindling volume, Money Flow Index (MFI) is approaching overbought territory, and the On-Balance Volume (OBV) is still under a ceiling created in March 2022. A rising wedge is also visible on the hourly charts with a micro Head & Shoulders in development. Should a high volume breakdown occur then I believe a price target range between $109-126 is probable, however, I am expecting adequate support around $126 as it correlates with both a 61.8% Fibonacci level and has history as a key area of support & resistance. Speculations Earnings season is a great time to profit from derivative trading, however, it can also be more treacherous due to the volatility most stocks experience in the days leading up to and immediately following their Quarterly Releases. Because GOOGL is having their Earnings Call in the next few days, I would not be surprised to see sharp price movements in either direction regardless of the current trends. Concrete stop-losses and price targets should be determined before entering any positions.
NShort
by Shepherd_Investor