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INDUS TOWER LONG/BUYTrade Setup long in Indus Tower 1. Monthly/weekly/Daily TF Bullish 2. Consolidating near a Big Breakout area 3. Block Deal happened b/w 311-340 and low is tested already in 3rd 5 min Candle 4. 2 Bullish Hammers on 5 Min TF & SL is Slightly Big as it is a positional Trade 5. Marked blue is a strong Breakout Level 6. 325-320 is Strong CIP Level 7. Hence Went Long 8. Buy @335-340 SL-310 target 450-470 Fundamentally this company is strong and also the part of rural developing economy alongside, which will benefit India in coming years definitely
NSE:INDUSTOWERLong
by Wealthy_Vikish
2
PTON Peloton Buyout or Short Squeeze PotentialPTON Peloton Interactive is currently under the spotlight due to a significant uptick in call options activity. This increased activity is focused on the $4 and $5 strike prices, with expirations on June 21 and July 19. Market analysts and investors are buzzing with speculation that this might signal an imminent buyout, takeover, merger, or even a short squeeze. Over the past week, Peloton has seen a notable surge in call options volume at the $4 and $5 strike prices. This heightened activity suggests that traders are betting on a substantial upward movement in Peloton's stock price in the very near term. June 21 Expiration: Calls expiring this Friday indicate that some traders are expecting a major announcement or significant stock price movement within days. July 19 Expiration: The larger volume of calls expiring next month shows longer-term optimism, potentially linked to upcoming strategic moves by the company. Technically, Peloton’s chart is exhibiting highly bullish patterns that support the possibility of a breakout: Falling Wedge: The stock is at the end of a falling wedge pattern, a technical indicator often associated with impending bullish reversals. Double Bottom Pattern: Additionally, Peloton is forming a double bottom, another bullish pattern that indicates strong support and a potential for a significant upward movement. These patterns suggest a robust technical setup for a breakout, with targets potentially as high as $6.50. Buyout or Merger Speculation The speculation surrounding a potential buyout by AAPL, AMZN, NKE, or a merger, is not unfounded. Peloton, despite its struggles in the past year, remains a highly attractive acquisition target due to its strong brand and substantial user base. A buyout or merger could provide the necessary capital infusion and strategic direction to reinvigorate the company’s growth trajectory. Short Squeeze Potential Adding fuel to the speculative fire is the potential for a short squeeze. If the stock begins to rise rapidly due to buyout rumors or technical breakouts, short sellers may be forced to cover their positions, driving the stock price even higher in a feedback loop of buying pressure.
NASDAQ:PTONLong
by TopgOptions
Chegg Chegg, Inc. (ticker symbol: **CHGG**), is an education technology company that provides digital and physical textbook rentals, online tutoring, and other student services. In the context of the list provided, Chegg is not explicitly included, but it could be categorized under the broader "Technology and Innovation" or "Consumer Discretionary" sectors due to its focus on educational services. ### Role Chegg Can Play in the Future 1. **Educational Accessibility**: - **Affordable Learning Resources**: Chegg's services can help make education more affordable and accessible by offering lower-cost textbook rentals and online learning resources. - **Digital Transformation in Education**: As education continues to shift online, Chegg can play a crucial role in providing digital study tools and resources that enhance remote learning experiences. 2. **Personalized Learning**: - **Data-Driven Insights**: Chegg can leverage data analytics to provide personalized learning experiences, tailoring study materials and tutoring to individual student needs. - **Adaptive Learning Platforms**: Developing adaptive learning technologies that adjust to a student's pace and learning style can improve educational outcomes. 3. **Expanding Global Reach**: - **International Expansion**: By expanding its services to international markets, Chegg can support students worldwide, contributing to global educational equity. - **Multilingual Support**: Offering resources in multiple languages can help non-English speaking students access high-quality educational content. 4. **Integration with Traditional Education**: - **Partnerships with Educational Institutions**: Chegg can collaborate with schools and universities to integrate its services into traditional curricula, providing supplemental learning tools. - **Credentialing and Certification**: Offering online courses and certification programs can help students gain new skills and credentials outside of traditional degree programs. ### Benefits of Data Centers Data centers are critical infrastructure for modern digital services, including those provided by companies like Chegg. Here are some key benefits: 1. **Reliability and Uptime**: - **High Availability**: Data centers are designed to provide high levels of reliability, ensuring that services are available 24/7 with minimal downtime. - **Redundancy**: They include redundant systems for power, cooling, and networking to prevent service disruptions. 2. **Scalability**: - **Resource Management**: Data centers can scale resources up or down based on demand, allowing companies to efficiently manage their computing needs. - **Growth Support**: As a business grows, data centers can provide the necessary infrastructure to support increased traffic and data storage requirements. 3. **Security**: - **Physical Security**: Data centers have robust physical security measures, including controlled access, surveillance, and security personnel. - **Cybersecurity**: They employ advanced cybersecurity protocols to protect data from cyber threats, including firewalls, encryption, and intrusion detection systems. 4. **Cost Efficiency**: - **Economies of Scale**: By centralizing IT resources, data centers can achieve cost savings through economies of scale. - **Reduced Capital Expenditure**: Businesses can avoid the high costs of building and maintaining their own data centers by using third-party data center services. 5. **Energy Efficiency**: - **Green Initiatives**: Many modern data centers are designed with energy efficiency in mind, utilizing renewable energy sources and advanced cooling technologies to reduce their carbon footprint. - **Resource Optimization**: Efficient resource management practices help minimize energy consumption and operational costs. 6. **Disaster Recovery and Backup**: - **Data Redundancy**: Data centers often provide backup and disaster recovery services, ensuring that data is not lost in the event of a hardware failure or natural disaster. - **Business Continuity**: These services are essential for maintaining business continuity, allowing companies to recover quickly from disruptions. In summary, Chegg has the potential to significantly impact the future of education through its innovative services and global reach. Data centers, on the other hand, provide the backbone for these and other digital services, offering reliability, scalability, security, and efficiency.
NYSE:CHGGLong
by TrojanBible
KRBL is changing gears quickly. KRBL Ltd. operates as a holding company. The firm engages in the export of rice miller and basmati rice. It operates through the following segments: Agri and Energy. The Agri segment supplies rice, Furfural, seed, bran and bran oil. The Energy segment comprises of power generation from wind turbine, husk based power plant and solar power plants. KRBL Ltd CMP 310.20. The positive aspects of the company are Company with Low Debt, Improving cash from operations annual, Zero promoter pledge, FIIs are increasing stake, MFs are increasing stake and Dividend Yield = 1.39%. The Negative aspects of the company are Declining annual net profit, Companies with weak financials and Stocks Underperforming their Industry Price Change in the Quarter. Entry can be taken after closing above 314. Targets in the stock will be 356, 377 and 393. The long-term target in the stock will be 414, 446 and 472. Stop loss in the stock should be maintained at Closing below 258. The above information is provided for educational purpose, analysis and paper trading only. Please don't treat this as a buy or sell recommendation for the stock. We do not guarantee any success in highly volatile market or otherwise. Stock market investment is subject to market risks which include global and regional risks. We will not be responsible for any Profit or loss that may occur due to any financial decision taken based on any data provided in this message.
NSE:KRBLLong
by Happy_Candles_Investment
BSE ltd - what's new trade plan 📈💡BSE Ltd What's my new trade plan NSE:BSE If you've been following the stock market, you may have noticed that BSE LTD was one of the biggest wealth creators last year and is now setting up nicely. I covered the company's fundamentals in a previous analysis, which you can find through the link below. Added now with anticipation will be a weekly breakout and thereafter, you can follow me here and connect with me social media - will share more details Covered more in detail in video earlier As a disclosure, I'm holding shares from the first trade plan (which were free) and have since added more, but please note that this is not a recommendation.
NSE:BSELong
by Peaceful-Weekend-Investing
MSFT Possible buy ideaMicrosoft, technology services giant, is making a perfect long entry possibility on its weekly chart. What to have on mind when watching the stock: 1. On Daily time frame, we had a perfect 50EMA retest. Stock managed to retake it and to even break above the smaller moving averages, the 10 and 21EMA. 2. This time frame is giving us a broad stop loss opportunity, once we enter the stock. To be precise, once the break of previous highs happen, my stop loss will be around the Daily 50EMA level, which is around $416.5 at the moment. 3. Back to weekly time frame and our entry point, my first entry would be once the price enters the Weekly channel, or it's previous high zone, sitting at around $430 price level. I will be monitoring the price and trading volume once this happens, I would like to see larger than usual trading volume. 4. My second entry and adding to the position, of course, if the break happens, will occur once the price crosses the $435.7 price level, which is just above the highest point on which the price of MSFT went. Of course, this is just my opinion. I will try to give my best to update the idea as it develops. Thanks for liking and following me!
NASDAQ:MSFTLong
by De_Banis
Intel Corporation | INTCIntel reported second quarter earnings on Thursday, showing a return to profitability after two straight quarters of losses and issuing a stronger-than-expected forecast. the stock rose 7% in extended trading. Here’s how Intel did versus Refinitiv consensus expectations for the quarter ended July 1: Earnings per share: 13 cents, adjusted, versus a loss of 3 cents expected by Refinitiv. Revenue: $12.9 billion, versus $12.13 billion expected by Refinitiv. For the third quarter, Intel expects earnings of 20 cents per share, adjusted, on revenue of $13.4 billion at the midpoint, versus analyst expectations of 16 cents per share on $13.23 billion in sales. Intel posted net income of $1.5 billion, or 35 cents per share, versus a net loss of $454 million, or a loss of 11 cents per share, in the same quarter last year. Revenue fell 15% to $12.9 billion from $15.3 billion a year ago, marking the sixth consecutive quarter of declining sales. Intel CEO Pat Gelsinger said on a call with analysts the company still sees “persistent weakness” in all segments of its business through year-end, and that server chip sales won’t recover until the fourth quarter. He also said that cloud companies were focusing more on securing graphics processors for artificial intelligence instead of Intel’s central processors. David Zinsner, Intel’s finance chief, said in a statement that part of the reason the report was stronger than expected was because of the progress the company has made toward slashing $3 billion in costs this year. Earlier this year, Intel slashed its dividend and announced plans to save $10 billion per year by 2025, including through layoffs. “We have now exited nine lines of business since Gelsinger rejoined the company, with a combined annual savings of more than $1.7 billion,” said Zinsner. Revenue in Intel’s Client Computing group, which includes the company’s laptop and desktop processor shipments, fell 12% to $6.8 billion. The overall PC market has been slumping for over a year. Intel’s server chip division, which is reported as Data Center and AI, saw sales decline 15% to $4 billion plus Intel’s Network and Edge division, which sells networking products for telecommunications, recorded a 38% decline in revenue to $1.4 billion.moreover Mobileye, a publicly traded Intel subsidiary focusing on self-driving cars, saw sales slip 1% on an annual basis to $454 million and Intel Foundry Services, the business that makes chips for other companies, reported $232 million in revenue. Intel’s gross margin was nearly 40% on an adjusted basis, topping the company’s previous forecast of 37.5%. Investors want to see gross margins expand even as the company invests heavily in manufacturing capability. In the first quarter, the company posted its largest loss ever as the PC and server markets slumped and demand declined for its central processors. Intel’s results on Thursday beat the forecast that management gave for the second quarter at the time. Intel management has said the turnaround will take time and that the company is aiming to match TSMC’s chip-manufacturing prowess by 2026, which would enable it to bid to make the most advanced mobile processors for other companies, a strategy the company calls “five nodes in four years.” Intel said on Thursday that it remained on track to hit those goals. Nvidia has had an amazing run, but any emerging technology, such as AI, which is bottlenecked by a single company will have issues in growth. Consulting firm McKinsey has pegged the AI market to be worth $1 trillion by 2030, but also that it was in an experimental and in early phases of commercial deployment. While Nvidia will likely retain its leadership in GPU hardware as applied to AI for the foreseeable future, it is likely that other hardware solutions for AI systems will also be successful as AI matures. While technologist may quibble on specifics, all major AI hardware today are based on GPU architectures, and as such I will use the terms and concepts of AI hardware and GPU architecture somewhat interchangeably. One likely candidate for AI related growth may be AMD (AMD), which has had GPU products since acquiring ATI in 2006.However, unlike Nvidia, which had a clear vision for of general-purpose GPU products (GPGPU), historically, AMD had largely kept its focus on the traditional gaming applications. AMD has developed an AI architecture called XDNA, and an AI accelerator called Alveo and announced its MI300, an integrated chip with GPU acceleration for high-performance computing and machine learning. How AMD can and may evolve in the AI may be subject of a different article. Another contender for success in the AI applications using GPU is Intel, who is the focus of this article. Intel has maintained a consistent, if low key focus on GPU hardware focused on AI applications over the last decade. Intel’s integrated HD Graphics is built into most modern processor ICs; however, these are insufficient compared to dedicated GPUs for high-end inferencing or machine learning tasks. It has 2 primary GPU architectures in production release: In 2019 Intel Corporation acquired Habana Labs, an Israel-based developer of programmable deep learning accelerators for the data center for approximately $2 billion. Habana Labs’ Gaudi AI product line from its inception focused on AI deep learning processor technologies, rather than as GPU that has been extended to AI applications. As a result, Gaudi microarchitecture was designed from the start for the acceleration of training and inferencing. In 2022 Intel announced Gaudi2 and Greco processors for AI deep learning applications, implemented in 7-nanometer (TSMC) technology and manufactured on Habana’s high-efficiency architecture. Habana Labs benchmarked Gaudi2’s training throughput performance for the ResNet-50 computer vision model and the BERT natural language processing model delivering twice the training throughput over the Nvidia high end A100-80GB GPU. So, Gaudi appears to give Intel a competitive chip for AI applications. Concurrent with the Habana Labs’ Gaudi development, Intel has internally developed the Xe GPU family, as dedicated graphics card to address high-end inferencing or machine learning tasks as well as more traditional high-end gaming. Iris® Xe GPU family consists of a series of microarchitectures, ranging from integrated/low power (Xe-LP) to enthusiast/high performance gaming (Xe-HPG), data center/AI (Xe-HP) and high-performance computing (Xe-HPC). The architecture has been commercialized in Intel® Data Center GPU Flex Series (formerly codenamed Arctic Sound) and Intel® Arc GPU cards. There is some question on Xe GPU future and evolution. Intel has shown less commitment to the traditional GPU space compared to Gaudi. Nonetheless, it does demonstrate Intel ability to design and field complex GPU products as its business requires. Intel has many other AI projects underway. The Sapphire Rapids chips implements AI specific acceleration blocks including technology called AMX (Advanced Matrix Extensions), which provides acceleration inside the CPU for efficient matrix multiplications used in on-chip inferencing and machine learning processing by speeding up data movement and compression. Intel has supporting technologies such as Optane, which while cancelled as a production line, is available for their needs of a high-performance non-volatile memory, one of the intrinsic components in any AI product. Based on the above, Intel appears to have competitive hardware solutions, however if we look at Nvidia success in AI, it is a result of a much a software and systems focus as it is the GPGPU hardware itself. Can Intel compete on that front. Ignoring for the moment that Intel has a huge software engineer (approx. 15,000) resource, it also has- access to one of the leading success stories in perhaps the most competitive AI application – self driving cars. Mobileye, who was acquired by Intel in 2017, has been an early adopter and leader, with over 20 years of experience in automotive automated driving and vision systems. As such, Mobileye has a deep resource of AI domain information that should be relevant to many applications. Mobileye has announced that it is working closely with Habana, as related divisions within Intel. While Intel is in the process of re-spinning out Mobileye as public company, Mobileye Global Inc. (MBLY), at present Intel still owns over 95% of shares, keeping it effectively an Intel division. In looking at Intel, we have a company with the history, resources, and technology to compete with Nvidia and infrastructure. They have made significant investment and commitment to the emerging AI market, in times when they have exited other profitable businesses. It should also be understood that AI related product are a small percentage of overall Intel revenues (INTC revenue are more than twice NVDA, even if NVDA has 6x its market cap), and continues to keep its primary business focus on its processor and foundry business. Hopefully for shareholders, Intel continues to push their AI technology and business efforts. Their current position is that this is strategic, but Intel is in a very fluid time and priorities may change based on business, finances, and of course the general interest and enthusiasm for AI. It is always worth noting that AI as a technical concept is mature, and appears to be cyclical, with interest in the technical community rising and falling in hype and interest once every decade or so. I remember working on AI applications, at the time labeled as expert systems in the 1980s. If we are currently at a high hype point, this may be temporary, based on near term success and disappointment in what AI does achieve. Of course, as always, “this time is different” and the building blocks of effective AI systems currently exist, where for previous iterations, it was more speculative.
NASDAQ:INTC
by moonypto
4