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GOOG trade ideas

Google | Looking For The Next TargetAlphabet Inc (Google) peaked in November 2021... With one last hurray in January 2022 that wicked higher. The All Time High came in January this year but only by a wick as the weekly candle closed much lower. We have a year long downtrend already. Time does fly by when one is not paying attention. We opened this chart out of curiosity. Since the Nasdaq100 (NDX) index is set to crash, all these companies are likely to follow and the charts are matching this statement. The good thing is that a bottom is getting closer and closer, maybe just another 6/7 months for these stocks but still too early for us to say. The main support we are looking at is sitting at 72.38. 89.42 is the immediate support. We see rejection after rejection each time Google closes above EMA10 and tries to move up. No relief rally here, not even when the SPX and DJI had a relief for several months. Will there be a relief now for Google? Not likely, don't think so. These stocks/companies have been growing for decades, the market moves in cycles. We are bound to see additional bleeding before a return to sustained growth. Around 68 is our mid-term target. For the bottom... We will have another look at this chart in 3 months. Namaste.
NASDAQ:GOOGShort
by AlanSantana
1
Artificial Intelligence (AI): Trend and big playersThere is a lot of buzz around artificial intelligence (AI), as more and more companies and start-ups claim to be using it or developing AI-focused systems. In some cases, companies use old data analytics tools and label them as AI to boost public relations. But identifying companies, start-ups and projects that actually get revenue growth from AI systems integration or development can be difficult. But what really is AI? AI, or artificial intelligence, in a nutshell, refers to the simulation of human intelligence in machines programmed to think and act like humans. These machines are designed to learn, reason and make decisions just like humans and can be trained to perform a wide range of tasks, from games to driving cars. AI uses computer algorithms to replicate the human ability to learn and make predictions. The AI system needs computing power to find patterns and make inferences from large amounts of data. The two most common types of AI tools are called "machine learning" and "deep learning networks." What are the areas where AI is applicable? AI is a broad term. It can be used in many fields and contexts including health care, finance, education, transportation, art, and many others. Some common examples of AI applications are virtual personal assistants, facial recognition technology, autonomous vehicles, and systems for creating realistic images and artwork from a description (better known as a prompt). Key players in the AI scene There are many companies known for their work in the field of artificial intelligence. Among the most famous are Google, Microsoft, Facebook, Amazon, and Apple. These companies are known for their research and development in the field of artificial intelligence and for incorporating AI technology into their products and services. If we analyze the publicly traded companies, the circle narrows considerably, we list together the big players in the AI field: Nvidia (NVDA) is one company that can boast of AI-driven growth. Internet and technology companies are buying its processors for cloud computing. Nvidia's AI chips are also helping the development of self-driving cars in the early stages of testing. Startups are racing to build AI chips for data centers, robotics, smartphones, drones and other devices. Tech giants Apple (AAPL), Alphabet (GOOGL), Google's parent company, Facebook (FB) and Microsoft (MSFT) have made strides in applying AI software-from speech recognition to Internet search and image classification and development. Amazon.com's artificial intelligence especially extends to cloud computing services and voice-activated home digital assistants. Then there are technology companies that incorporate AI tools into their products to improve them. These include video streamer Netflix (NFLX), payment processor PayPal (PYPL), Salesforce.com (CRM), and again Facebook. Customers of technology companies spanning banking and finance, healthcare, energy, retail, agriculture, and other sectors are expected to increase investments and allocate new funds for AI in order to gain productivity gains and/or a strategic advantage over rivals. In addition to the companies mentioned above, one of the leading players in AI systems development is OpenAI (no, it is not publicly traded). OpenAI is an artificial intelligence research institute and laboratory founded in 2015. It is dedicated to advancing and promoting AI research and development in a safe and responsible manner. The organization is known for developing AI algorithms and systems capable of achieving human-like intelligence. OpenAI is a nonprofit organization supported by a number of high-profile donors and sponsors, including Elon Musk and the Chan Zuckerberg Initiative. The revolutionary tools of OpenAI Among OpenAI's most important achievements is the development of the GPT-3 language model, which has been widely used in natural language processing applications. Currently, it is already possible to test the chat at the "research preview" stage on the main site, putting it to the test by proposing complex themes and topics, such as programming languages, algorithms, or simple advice on how to furnish a house. Another revolutionary tool, proposed by the nonprofit organization, is DALL-E. DALL-E is a large language model that has been "trained" by OpenAI. It can generate images from textual descriptions, using a neural network with 14 billion parameters. DALL-E uses a combination of natural language processing and computer vision techniques to generate highly detailed and imaginative images. For example, when prompted for the text "A bird with the body of a giraffe and the head of a parrot," DALL-E could generate an image of a giraffe with the head of a parrot...simpler than that! Digital ART and NFT DALL-E has enabled many designers and artists to be able to create very complex artwork and works, resulting in incredible results with the simple development of a detailed description, all in very little time. While still little mentioned in the media and little used by retailers, we have already seen a fair amount of interest arising from artists, especially in the area of digital art and NFT. The current NFT market, although in a bearish phase, has seen a remarkable increase in volumes in the last week. What is curious is that in the top 100 ranking of the highest volume projects on OpenSea (the number one marketplace for buying and selling NFT), 40% are generative or AI-made art collections, with some sales exceeding 65 Ethereum ($80K+). In addition to art collections, exciting projects have sprung up using blockchain technology combined with AI systems proposed by OpenAi and beyond. One example is 0xAI, a startup on the ethereum blockchain that provides its users with the most powerful AI systems for creating digital works, greatly simplifying the process of use and adoption. Native blockchain and non-onchain startups using artificial intelligence will soon be the order of the day. Although the potential is obvious, it is necessary to analyze the foundations of the projects, the products offered and their growth prospects, as it is easy to create an extremely saturated and insolvent market. Conclusion The AI revolution has just begun, we are at the beginning of a new era where technology as we are used to seeing it could "mutate" significantly and it is already happening. Leading technology companies have long shown the interest, desire and need to convert to AI systems, both to facilitate the productivity process and thus save funds in the medium/long term, and to capture the interest of new potential investors. We will closely monitor developments in this new and intriguing branch of modern technology.
NASDAQ:GOOGL
by cryptohubble
1
GOOG - Tide could be turningGOOG's monthly chart formed a bullish divergence and closed with a bullish "pin bar" in November. We are likely to see more upside momentum for this month, although it could pause and consolidate when it hits the near term horizontal resistence around 104-105, then may (or may not) dip back towards 93 (recently pivot low), before eventually breaking higher. Immediately support is currently at 93. Turn cautious if it dips below here. Disclaimer: Just my 2 cents and not a trade advice. Kindly do your own due diligence and trade according to your own risk tolerance and don't forget that money management is important! Take care and Good Luck!
NASDAQ:GOOGLong
by Juliac
1
GOOG: Trading around a KEY SUPPORT level!• GOOG is trading around its support level at $94.41 (yellow line); • By losing this support level, GOOG would seek the gap around $89; • In addition, we see a lower high, followed by decreasing volume, indicating weakness; • GOOG would need to do a very good reaction above its support level in order to avoid a further drop – so far, there’s no bullish evidence; • Only if GOOG does a new high and breaks the red line, it might resume the bullish movement up to the $105; • For now, we must pay attention on how it’ll react around the yellow line, as this might dictate the next movements on GOOG. I’ll keep you posted on this. Remember to follow me to keep in touch with my analyses!
NASDAQ:GOOG
by Nathan_The_Finance_Hydra
Bobby Homework 11.27.22Google Range Boxes and Grids. This wraps up the third video, and a general view of my important tools that I use for trading. I am very aware that I added some details that may not make total sense, but every tool will be discussed in greater detail, and there will be 50 examples of each tool over a one-month period, so that most of this will be automatic. I will talk about structure and market dynamics, and expansion and contraction of markets.
NASDAQ:GOOG
by ScottBogatin