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GOOGLCL trade ideas

Possible Adam/Eve double bottom The pattern appears to be an Adam/Eve double bottom with a breakout target to ~ 120. The price broke out of the Eve on strong volume. The price is currently retesting the price between Adam and Eve. If the price holds 94/95 then hopefully the price action will play out. I am not sure where a SL would be placed, but the risk/reward here is good with a tight SL. Only negative will be the CPI print next week with its usual volatility. Not financial advice.
NASDAQ:GOOG
by Thnacks
LONG Term GOOG DCARe-entered the market after several months on the sideline waiting for longer term indicators to look positive. I believe this is a suitable spot to start DCA again into high conviction companies and stocks. High conviction in the company for the long term✅ Money flow on the monthly in the red ✅ RSI Oversold on the monthly ✅ Trading around significant support (@0.5 AT Fib)✅ Market Cipher on the monthly around the 'buy-zone' ❓* *Market Cipher not yet indicating buy, however, weekly green indicator with the above indicates the monthly buy-signal is near - hence comfortable to DCA as within my personal risk tolerances) ** NOT TRADING OR FINANCIAL ADVICE **
NASDAQ:GOOGLong
by Skook92
Google earnings todayGOOG Q4 earnings are today, 2/2 at 4:15pm. Alphabet Cl C (GOOG) reported Q3 September 2022 earnings of $1.06 per share on revenue of $69.09 billion. The consensus earnings estimate was $1.26 per share on revenue of $70.64 billion. Revenue grew 6.1% on a year-over-year basis. Here's a GOOG 1 week chart with the past 8 earnings reports PE, EPS, revenue, cash & debt data indicators. Plus 2/3, 2/17 and 3/17 expiry options data. Q4 December 2022 Consensus: EPS = $1.19 Revenue = $76.48B P/E = 21.7 Q3 September 2022: EPS = 1.06 miss -16.01% Revenue = $69.09B miss -2.20% Cash = $21.98B Debt = $26.63B Q2 June 2022: EPS = 1.21 miss -6.05% Revenue = $69.68B miss -0.16% Cash = $17.94B Debt = $26.43B Q1 March 2022: EPS =1.23 miss -3.67% Revenue = $68.01B beat 0.18% Cash = $20.89B Debt = $26.25B 2/3/23 expiry options data: Put Volume Total 17,149 Call Volume Total 30,081 Put/Call Volume Ratio 0.57 Put Open Interest Total 50,820 Call Open Interest Total 54,156 Put/Call Open Interest Ratio 0.94 2/17/23 expiry options data: Put Volume Total 5,472 Call Volume Total 19,575 Put/Call Volume Ratio 0.28 Put Open Interest Total 96,153 Call Open Interest Total 104,606 Put/Call Open Interest Ratio 0.92 3/17/23 expiry options data Put Volume Total 4,332 Call Volume Total 14,527 Put/Call Volume Ratio 0.30 Put Open Interest Total 156,883 Call Open Interest Total 224,859 Put/Call Open Interest Ratio 0.70
NASDAQ:GOOG
by Options360
2
GOOGL:Fundamental Analysis + Possible Next Target Warren Buffett is an expert at capturing the attention of Wall Street analysts and investors. This could be attributed to the more than 3,800,000% cumulative return he has generated to his company's Class A stock (BRK.A) since taking over as CEO in the 1960s. His stellar investment track record has enabled new and repeat investors to follow him for decades and achieve substantial returns. This is ultimately what makes Berkshire Hathaway's Form 13F filing such a highly anticipated event. Many people who follow Berkshire Hathaway's buying and selling are presumably aware that Apple is the company's largest holding. Apple accounted for 41% of Berkshire's $342 billion in invested assets a week earlier. Apple was also one of three stocks added by Buffett and his investing team during the fourth quarter. Similarly, Amazon has been a Berkshire Hathaway holding for the past four years (since Q1 of 2019). Oracle's prior remarks from Omaha imply that he was not the architect behind the takeover of the world's largest e-commerce company. Rather, one of his investment lieutenants, Todd Combs or Ted Weschler, was responsible for the $1.06 billion holding in Amazon. Buffett was only indirectly familiar with the other three FAANGs - Meta, Netflix, and Alphabet - before Berkshire Hathaway and New England Asset Management released its current 13F reports. The situation has now altered. In the fourth quarter, New England Asset Management purchased 17,100 Alphabet shares, primarily Class A shares (GOOGL). The straightforward answer to the question "Why Alphabet?" is based on three factors: market share, cash flow, and valuation. Let us begin with the reality that Alphabet has a complete monopoly on Internet search. Since December 2018, Google has accounted for at least 91% of global search share, according to GlobalStats. Although ad spending cycles, Google's almost 90 percentage point dominance over its nearest competitor provides it unparalleled pricing power when working with advertisers. Given how the US and worldwide economies have developed over time, Alphabet, fuelled by advertising, is the clear winner. Second, Alphabet is a money generator, allowing it to actively reinvest in a wide range of high-growth activities. The corporation generated $91.5 billion in operating cash flow in 2022. This massive cash flow allows the corporation to expand the scope of its Google Cloud infrastructure service, which has taken almost 10% of the world's cloud infrastructure market, according to a recent Canalys analysis. Furthermore, Google's extraordinary cash flow, along with $99 billion in net cash, cash equivalents, and marketable Alphabet securities, allows the corporation to reinvest in the streaming channel YouTube, which is the world's second most visited social site. Alphabet is currently experimenting with new ways to monetize short videos known as YouTube Shorts. Every day, more than 50 billion "shorts" are viewed! Third, Alphabet has historically been cheap in terms of both future revenue potential and cash flow. Despite a five-year average price-to-earnings ratio of 25.4, the company is now valued at 15.5 times Wall Street's predicted earnings for next year. Furthermore, Alphabet has averaged 18.6 times year-end cash flow over the last five years. Investors may buy Google shares right now for just 6.5 times the company's estimated cash flow in 2026, according to Wall Street's most forward-looking projection. In other words, Alphabet satisfies all of Buffett's investment criteria.
NASDAQ:GOOGLLong
by FOREXN1
5
$GOOGL - 50DMA and trend line check backGoogle broke out of descending broadening wedge briefly and currently it checked back to the trend line which is also a 50DMA area. So far the area has provided a good support. There is a good chance that it could head back to $108 area. It could still come down to $90 area which is a great area to load again. Target 1 - $100 Target 2 - $108 Risk - fall to $90 - $87 area —— Trade is done when it hit one of the target or stop loss is hit. Disclaimer: Trading note. Not an investment advice.
NASDAQ:GOOGLLong
by PaperBozz
Good time to start buying GOOGLEYou know all the teck stocks are rebounding hard, and Google was about to rebound as well; but Google's unsatisfactory debut of AI Bard became a good source for panic sell. This kind of stuff is temporary, and the macro trend will override the micro(temporary) trend. Thus, this temporary dump or retrace is actually really a good chance to buy in. If you really like Google and believe that Google will continue to do well in 3~5 years, you should definitely dive in. Good entry price will be around $95~$84. You will enjoy at least +30% profit within 2023. That's not crazy profit, but yeah that's a solid profit. Disclaimer: Even though this is a good chance, I believe crypto will give me better profit; so I am not buying any Google.
NASDAQ:GOOGLLong
by leevolution
GOOG - Descending Channel Reversal / Target $120 / CHATGPT WRONG0. Google in a AI Hype BS Imposed Down-Channel 1. Volume is descending, and only increased when the bulls smashed to the top of the channel yesterday and handed the bears their asses; 2. When the CHATGPT HYPE Train comes to and end, and all the flunkies realize that you need lightning fast, up to the second accurate, multiple returns, with relevancy to have a bloody search which is ONLY GOOGLE 3. Microsoft have spend nothing on their Search Algorithms and ChatGPT only searches a 2 YEAR OLD LANGUAGE model to get a statistical analysis on the patterns of words in, and then to statistically get a response token by token, from the statistical engine. Generative AI Generative AI is nothing more than a massive statistical analysis database of token frequency, order, relationship and other stuff. Then you generate tokens coming out. This is simply a trained model producing tokens. It is not a "Search" The Data is 2 years old, and get older each day The LLM (Large Language Model) cannot be changed. Adding new data takes 1.5 YEARS for CHATGPT. That is right, if you wanted to update your address or phone number of your RESTAURANT, get on the list, it takes 2 years to show up in the data! and then it can't be changed for another 2 years This is madness GENERATIVE AI USE CASES 1. Basic Summary (Makes massive mistakes so be careful, only basic stuff works 2. Tutoring / Assisted Learning (also, makes mistakes, and is 2 years old, but can help) 3. Helping Assist in coding (makes MAJOR mistakes) - software APIs change sometime 2x per year, this thing has 2 or 3 year old code 4 . Cheating in school or on tests (If you have the RIGHT DATA!) CAN'T BE UPDATED, TAKES 2 YEARS TO TRAIN, SLOW AS SHIT 1. You can't update the model 2. 2 years+ to train and 1 Billion each time 3. slower than shit, especially and CANT SCALE CAN'T SCALE Notes and links here CAN'T DO REAL SEARCH Notes and links here MAKES STUFF UP Notes and links SLOW SLOW SLOW Notes and links here
NASDAQ:GOOGLong
by drchelsea1
3