GoogleGoogle will melt down following the rest of Nasdaq that are extremelly overvaluated and prices will have to return to 2007 levels
GOOGL trade ideas
Google in inverted head and shoulders.Alphabet - 30d expiry - We look to Buy at 95.11 (stop at 91.82)
A bullish reverse Head and Shoulders has formed.
Bespoke support is located at 94.20.
Levels below 95 continue to attract buyers.
The primary trend remains bullish.
Dips continue to attract buyers.
Early pessimism is likely to lead to losses although extended attempts lower are expected to fail.
Our profit targets will be 103.33 and 105.33
Resistance: 101.00 / 103.50 / 105.00
Support: 97.00 / 94.20 / 91.80
Disclaimer – Saxo Bank Group.
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Elliott Wave View: Alphabet (GOOGL) Has Resumed the Next Leg LowAlphabet (ticker: GOOGL) shows incomplete bearish sequence from 1.31.2022 earlier this year. It favors further downside to reach the extreme target of 61 – 72. Short term Elliott wave View in Alphabet (ticker: GOOGL) suggests that cycle from 12.1.2022 high is in progress as a 5 waves impulse Elliott Wave structure. Down from 12.1.2022 high, wave 1 ended at 97.21 and wave 2 rally ended at 101.38. The stock resumed lower in wave 3 towards 92.20, wave 4 ended at 96.09, and wave 5 lower ended at 91.61 which completed wave (1). Rally in wave (2) completed at 99.53 and the stock has resumed lower.
Down from wave (2), wave ((i)) ended at 95.03 and rally in wave ((ii)) ended at 96.87. Stock resumed lower in wave ((iii)) towards 89.51, and wave ((iv)) ended at 91.33. Expect stock to extend a little lower to complete wave ((v)). This should also end wave 1 in higher degree. Stock should then rally in wave 2 to correct cycle from 12.13.2022 high before the decline resumes. Near term, as far as pivot at 99.55 high stays intact, expect rally to fail in 3, 7, or 11 swing for further downside.
GOOGL to $53-$56My $85 price target from about a year ago ($1700 pre split) has been reached. Considering current state of the market I am expecting at least another 30-40% decline from current levels. Around $53-$56 ranger I am expecting a bit of support considering stock consolidated at that level for two years from 2018 to 2020.
I am not suggesting $53 will be the bottom. In fact I think price will go lower. But I will have to gage on the state of the economy, technical set up of the chart and more importantly on FED’s actions before I can see the bottom.
If/when price slides below $50, there could be some support around $27-$30 range where consolidation occurred for about to years in 2014-2016. Ultimately it could dip to $13-$16 range where someone was accumulating shares for 6 years (2007-2013), but I will have to re-assess those levels as times goes by.
A BULLISH INVERTED HAMMER FOUND ON GOOGA small pip profit as per giving buy and tp, hammer found on goog chart.
GOOG Alphabet Inc. Technical ReboundIf you haven`t sold GOOG at the top, when Ark Invest did:
Then you should know that a technical rebound refers to a recovery from a prior period of losses when technical signals indicate that the move was oversold.
In this case, the Relative Strength Index momentum indicator of GOOG is at 22.42.
Even though i am overall bearish on the economy, buying a strong financial instrument when the RSI is below 30, would make a case for a potential short term reversal.
Looking forward to read your opinion about it.
GOOGdespite the divergence, the price went down after (together) with the index, but at the moment the asset is weaker relative to the general index, which means it should fall even deeper than the current price.
In the area of 76-72, there is the first serious support, which I also tried to find with the help of Fibonacci.
A sadder ending suggests a decline to the level of 63.4, which I also tried to find (explain) with Fibonacci levels.
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.
Higher rates will put pressure earnings Like in all my charts I hope for the best and prepare for the worst a stock that doesn’t give anyone Yield depends on earnings growth to support that price not to sure if it’s a good investment strategy to live on hopes and dreams
GOOGLE New Trade > Naked Put New Trade $GOOGL
Naked Put
Strike $79
Premium $0.66 x 4 contracts = $264.00
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.
google forecast Google share price can back to $50.00 and bounce in next year 2023.
This is my first price action forecasting stocks.
normally I trade Forex, Indices
