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CROWDSTRIKE $CRWD | EARNINGS TARGETS Nov. 26th, 2024CROWDSTRIKE NASDAQ:CRWD | EARNINGS TARGETS Nov. 26th, 2024 BUY/LONG ZONE (GREEN): $375.00 - $407.50 DO NOT TRADE/DNT ZONE (WHITE): $359.00 - $375.00 SELL/SHORT ZONE (RED): $330.00 - $359.00 Weekly: Bullish Daily: Bullish 4H: Bullish NASDAQ:CRWD earnings release today, Nov 26 post market. Expected move based on ATM straddles is $30 or roughly +/-8.24%. Bullish price target is based off of my expected optimistic upside movement to be around +12% post earnings. A near mirrored move, comparable to the bullish target estimate, more accurately should be around $320. Can easily extend bearish target area down to $300. trendanalysis, trendtrading, priceaction, priceactiontrading, technicalindicators, supportandresistance, rangebreakout, rangebreakdown, rangetrading, chartpatterntrading, chartpatterns, options, optionstrades, earningsmove, crwd, crwdearnings, crowdstrikeearnings, earningsplay,
NASDAQ:CRWD
by TonyAiello
The Future of AI Operations: MLOps and NVIDIA's VisionMLOps: Transforming AI into Scalable Enterprise Solutions In today’s fast-evolving technological landscape, MLOps (Machine Learning Operations) has emerged as a vital discipline for businesses striving to scale AI solutions effectively. This burgeoning field combines machine learning, DevOps, and data engineering to streamline the development, deployment, monitoring, and management of machine learning models in production. While MLOps was initially shaped by generalized practices, industry leaders like NVIDIA have taken this framework to new heights, integrating it with cutting-edge hardware and software to drive enterprise AI innovation. Here's a comprehensive look at MLOps and how NVIDIA has helped businesses unlock the true potential of AI. As NVIDIA NASDAQ:NVDA prepares to release its third-quarter earnings, with estimates of $0.74 per share and $32.81 billion in revenue, its dominance in AI and MLOps underscores the strategic importance of these technologies in today’s digital economy. What Is MLOps? At its core, MLOps is a set of best practices, tools, and methodologies designed to operationalize machine learning models, ensuring they remain reliable, scalable, and effective in dynamic environments. It builds on the principles of DevOps, extending them to include data scientists and machine learning engineers, ensuring seamless collaboration across teams. MLOps enables businesses to: 1. Automate repetitive processes such as model training, deployment, and monitoring. 2. Ensure reproducibility of experiments and results. 3. Scale AI solutions as businesses grow. 4. Continuously monitor and refine models to prevent performance degradation over time. Core Components of MLOps 1. Data Pipeline Management: - Automating data collection, cleaning, and preprocessing. - Managing real-time data streams for dynamic model training. 2. Model Development and Experimentation: - Providing tools for tracking experiments, version control, and reproducibility. - Allowing iterative experimentation to optimize models for specific tasks. 3. Model Deployment: - Deploying models into production environments using containers (e.g., Kubernetes, Docker). - Supporting diverse deployment scenarios, including real-time inference and edge computing. 4. Monitoring and Maintenance: - Continuously monitoring model performance for accuracy, latency, and resource efficiency. - Automating retraining pipelines to adapt to changes in data or operational requirements. 5. Scalability and Governance: - Enabling enterprises to scale AI solutions across large datasets and infrastructures. - Ensuring compliance with industry standards and ethical AI guidelines. Here's a practical pie chart showing the distribution of effort across key stages in the MLOps workflow: Data Collection, Model Training, Model Deployment, and Monitoring. MLOps in Action: The NVIDIA Story As one of the pioneers in AI and GPU-based computing, NVIDIA has played a transformative role in advancing MLOps, enabling businesses to scale and operationalize AI solutions with unprecedented efficiency. By providing a robust ecosystem of hardware, software, and services, NVIDIA has set a gold standard for MLOps in enterprise AI. 1. NVIDIA’s AI Infrastructure: NVIDIA’s DGX Systems and DGX SuperPODs deliver the computational power needed to train and deploy complex AI models. These GPU clusters provide unmatched scalability, making them ideal for handling large datasets and real-time AI workloads. Example: The DGX BasePOD architecture allows organizations to create powerful GPU clusters optimized for AI development and deployment. 2. NVIDIA AI Enterprise Suite: The NVIDIA AI Enterprise platform includes tools like: - Triton Inference Server for efficient model deployment. - TAO Toolkit for fine-tuning pre-trained models with minimal coding. - RAPIDS for accelerating data science workflows. These tools simplify the end-to-end AI lifecycle, ensuring businesses can deploy and manage AI models with ease. 3. Real-World Use Cases: - Retail Optimization: A major retailer used MLOps capabilities in a public cloud powered by NVIDIA GPUs to create an AI service that reduced food waste by 8-9%. By forecasting when to restock shelves, the retailer optimized inventory management and minimized spoilage. - Predictive Maintenance: A PC manufacturer utilized NVIDIA’s AI infrastructure to predict laptop maintenance needs, enabling proactive updates and reducing downtime for customers. Scaling MLOps with NVIDIA and Cloud Providers NVIDIA has partnered with major cloud providers to integrate MLOps capabilities into their platforms: - AWS SageMaker: Accelerates machine learning workflows with NVIDIA GPUs, enabling automated model training and deployment. - Google NASDAQ:GOOGL Vertex AI: Leverages NVIDIA GPUs for seamless scaling and orchestration of AI models. - Azure Machine Learning: Offers NVIDIA-optimized infrastructure for developing responsible AI solutions. - Alibaba NYSE:BABA Cloud and Oracle Cloud: Provide NVIDIA-powered platforms for quick experimentation and deployment of machine learning projects. These integrations allow businesses to choose flexible, cloud-based solutions for their AI needs, reducing operational overhead while ensuring performance and scalability. Here's a bar chart illustrating the resource allocation in AI infrastructure across Compute Resources, Storage, Networking, and Software Tools. Why NVIDIA Excels in MLOps 1. Industry-Leading Hardware: NVIDIA’s GPUs are designed for high-performance AI workloads, enabling rapid training and inference. 2. End-to-End Solutions: From infrastructure to software tools, NVIDIA offers a comprehensive ecosystem for MLOps. 3. Focus on Standards: NVIDIA’s collaboration with the AI Infrastructure Alliance (AIIA) helps set industry standards and best practices for MLOps. 4. Support for Open-Source Tools: NVIDIA works with open-source platforms like Kubeflow and ClearML, ensuring flexibility for developers and engineers. With a revenue estimate of $32.81 billion for Q3, NVIDIA’s financial success reflects its role in pioneering AI infrastructure and MLOps solutions. Its offerings, like DGX systems and AI Enterprise, continue to dominate the enterprise AI landscape MLOps: The Future of AI in Business The rapid adoption of AI across industries underscores the importance of robust MLOps frameworks. With NVIDIA’s contributions, enterprises can now manage the full lifecycle of AI development, from data collection to model deployment, with confidence and efficiency. Whether it’s optimizing retail operations, predicting maintenance, or developing cutting-edge applications, MLOps ensures that AI becomes a seamless part of an organization’s digital ecosystem. Thanks to pioneers like NVIDIA, the vision of scalable, reliable, and impactful AI is now a reality. Final Thoughts MLOps is more than just a framework—it’s a paradigm shift in how businesses approach AI. By leveraging NVIDIA’s advanced tools, infrastructure, and partnerships, organizations can achieve unparalleled efficiency, scalability, and innovation in their AI endeavors. The journey from experimentation to enterprise-ready AI has never been more accessible or powerful. As NVIDIA announces its Q3 results, the company’s vision for the future of AI operations becomes even more critical. The expected revenue of $32.81 billion underscores how integral MLOps and AI are to the company's continued growth and innovation. The chart visualizations in this article were created using the TradingView platform, a leading solution for market analysis and charting. Special thanks to TradingView for providing an exceptional platform that supports traders and analysts worldwide.
NASDAQ:NVDAEducation
by SroshMayi
Something's Got To BreakVXRT is at support currently after multiple earnings calls showing improvements in company funding and positioning. It is currently touching lows in a range of .52-.58 for the 6th time this year, if it is unable to break support again I personally believe this will break to the upside back over $1. In the event it does breakdown below .50 (which can very well happen), I'll look for a good bounce off .40 or .25 before buying back in, depends how violent the drop is.
NASDAQ:VXRTLong
by Jaytradn
Walt Disney Co | DIS | Long at $84.00The Walt Disney Co NYSE:DIS is wrapped up in bad press and is predicting a future decline in theme park revenue (recession red flag...). However, the company has historically had tricks up its sleeve to return to prominence in an ever-changing entertainment environment (last was streaming). The potential of AI and robotic technology benefiting Disney is huge. The recent dip to $84.00 is a personal buy zone. A word of caution: there may be an amazing opportunity near $50.00 if the "recession" is announced and the company, like other entertainment industries, take a massive hit. That's where the true opportunity lies for this American staple. At $84.00, though, a "starter position" is my mindset until the stock rotates to an upward trend. Target #1 = $110 Target #2 = $127 Target #3 = $135 Target #4 = $182 (long-term view...)
NYSE:DISLong
by WorthlessViews
2
So good SOWG a trailblazer in the freeze-dried candy and treat industry, will hold a conference call on Thursday, November 14, 2024, at 10:00 a.m. Eastern time to discuss its results for the third quarter ended September 30, 2024. The Company will provide its financial results in a press release prior to the conference call. Set up here looks good after retest. Revenue estimates are lower this quarter than previous, see what happens tm. Annual revenues are excepted to 3x in 2025. Low volatility for now.
NASDAQ:SOWGLong
by WSMS199
1
NVIDIA (NVDA): Targeting $166 amid AI momentumNVIDIA continues to dominate the AI and computing landscape, with a significant development in Japan: SoftBank’s telecom unit will soon receive Nvidia’s advanced Blackwell chip design for its supercomputers. The upcoming earnings report on November 20 is critical in sustaining NVIDIA’s exceptional growth trajectory. CEO Jensen Huang’s company has projected third-quarter revenue of approximately $32.5 billion, propelled by substantial demand for Hopper and Blackwell GPUs. These GPUs are crucial for strengthening NVIDIA’s data center segment, which currently operates with an impressive 68% margin. Priced between $30,000 and $40,000, Blackwell chips are already seeing high demand, with production scaling in Q4 2024. From a technical perspective, NASDAQ:NVDA still has room to grow, with a targeted area of $166 or higher in the short term. We are closely monitoring the stock for either a move into this target or a shift in market structure that could change the outlook. Stay tuned for updates as we approach the earnings call and as NVIDIA continues to set new milestones in the tech space.
NASDAQ:NVDALong
by freeguy_by_wmc
$AVGO PRE-EARNINGS DIP BUY Broadcom ( NASDAQ:AVGO ) has an upcoming earnings report scheduled for Dec.5 This also happens to be a stock that investment power house Nancy Pelosi is currently holding a position in and with the rise of similar stock $NVDIA earlier today, I suspect NASDAQ:AVGO to have enough catalyst fuel to power this Daily time frame dip buy opportunity off of the 22EMA. I plan on entering this position tomorrow IF NASDAQ:AVGO goes green on the daily time frame AFTER a bearish start to the morning to take out any left over liquidity (previous-day lows, post-market lows, pre-market lows) and I plan to hold this buy position anywhere between 1-4 weeks depending on how the daily time frame CLOSES along the way... No Price targets.
NASDAQ:AVGOLong
by CJITM
TESLA $TSLA | TESLA ROBOTAXI EVENT DISAPPOINTS!? - Oct 11 '24TESLA NASDAQ:TSLA | TESLA ROBOTAXI EVENT DISAPPOINTS!? - Oct 11 '24 BUY/LONG ZONE (GREEN): $232.00 - $263.50 DO NOT TRADE/DNT ZONE (WHITE): $208.50 - $232.00 SELL/SHORT ZONE (RED): $177.50 - $208.50 NASDAQ:TSLA Trends: Weekly: Bullish Daily: Bearish 4H: Bearish NASDAQ:TSLA and Elon Musk disappoint with 10/10 Robotaxi event? I was personally a fan of the event, but this morning we saw price break bullish support and possibly start a bearish trend. I've expanded 181.00 zone up to 182.00 to capture the bottom of the previous bear trend that started from the Jul23 earnings report. My next look is for price to range between the 216.75 - 232.00 levels up to the next earnings release on Oct23. Levels were expanded from previous analysis and posts, linked below. 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! trendanalysis, trendtrading, priceaction, priceactiontrading, technicalindicators, supportandresistance, tesla, NASDAQ:TSLA , tsla, teslaearnings, teslatrend, teslamomentum, teslalong, teslashort, teslatrade, teslaidea, tesladirection, teslaearningsreport, teslareport, teslarelease, teslamodel2, teslamodel3, teslamodel3performance, teslaconference, teslanews, teslacall, teslaput, teslaoptions, teslapatterns, teslachartpatterns, teslasupport, tslatrend, tslamomentum, tslatrade, tslalong, tslashort, teslabuy, teslasell, elonmusk, elon, nasdaq, ndx, ndq, qqq, us100, nas, tech, techstocks, ev, evstocks, teslaearnings, robotaxi, robotaxi event, tesla1010event, 10/10event, teslarobotaxi, teslarobocap, teslarobovan, teslaearningsreport,
NASDAQ:TSLA
by TonyAiello
Celsius Holdings | CELH | Long at $30.00Celcius Holdings NASDAQ:CELH suffered quite a drop over the last 5 months, but it was highly overvalued. While I still view it as fairly overvalued with a P/E of 28x, it's reporting itself as a healthy company, almost no debt, with a bright growth future. Going into earnings, it could have a nice run, but I am staying highly cautious. From a technical analysis perspective, it fell through my selected long-term simple moving average (white line) and may have a nice bounce from here off the next major support level (blue lines) into earnings. If it does, I expect resistance near $40. Thus, at $30.00, NASDAQ:CELH is in a personal buy zone. Target #1 = $39.50 Target #2 = $43.00 Target #3 = $47.00 Target #4 = $72.00 (long-term view if no recession...)
NASDAQ:CELHLong
by WorthlessViews
2
Watch Movement Post Earnings. Strong bull for this stock as not only small caps have strength, but this company is rolling out there testosterone therapy and also has a cheap price tag. My targets are listed on the right hand side in bright pink. BUT, big but, if we lose this support there is nothing holding this thing up for a while until we reach previous support lines. I might be looking for a liquidity grab to the down side right after earnings and will watch for reversals. Manage risk please
NASDAQ:LFMDLong
by LeapTrades
2
Yields USA 1. 1-Month Yield (4.596%): - The short-term yield here is the highest, which might indicate a risk premium for investors lending to the government over such a short period. This could also reflect the Federal Reserve’s current monetary policies, which may be keeping short-term rates high to combat inflation. 2. 1-Year Yield (4.316%) and 2-Year Yield (4.252%): - The yields for 1-year and 2-year bonds are slightly lower than the 1-month yield, which is unusual in a normal yield curve, where rates typically increase with maturity. This could indicate an inverted yield curve, often seen as a sign of an economic slowdown or potential recession. Investors may be anticipating future rate cuts due to an expected economic weakening. 3. 10-Year Yield (4.308%): - The 10-year yield is close to the short-term rates, confirming a relatively flat or even inverted yield curve. Typically, the 10-year yield is higher in a growth environment. Here, a yield similar to short-term bonds suggests low confidence in long-term economic growth or expectations of stabilized inflation. 4. 30-Year Yield (4.473%): - The 30-year yield remains close to short-term yields, with a slight increase compared to the 10-year but still within the same range. This configuration indicates that the market does not anticipate strong long-term economic growth or significant inflation increases. It may also signal that investors seek the safety of long-term assets despite similar yields to shorter-maturity bonds. The yield curve appears inverted or very flat, which is often interpreted as a sign of caution or economic uncertainty. This structure reflects a potential anticipation of an economic slowdown, where the Federal Reserve might need to lower rates in the coming years if inflation is controlled and economic growth slows. Investors may be seeking protection by purchasing long-term bonds, anticipating lower rates in the future.
TVC:US10Y
by eLs-Trading
Lyft | LYFT | Long at $9.75First, from a technical analysis perspective, NASDAQ:LYFT has not "officially" found a bottom yet. No one can confidently state it has - their guess is as good as yours. This analysis is full of caution simply around the fact this stock could absolutely dip to below $5.00 in the future. With that said, NASDAQ:LYFT is currently the #3 travel app in the Apple store (#1 is Uber, #2 is Airbnb). It has a 4.9 (Apple) and 4.7 (Google) star rating and tens of millions of downloads. Car prices, insurance rates, parking fees, gas/electric rates, etc. are pushing more people into the rideshare environment. With a recession knocking on the US's door, the fee-for-service model will make more sense than actually owning for many. But, a recession is a recession and the market hates them... Lyft is currently the only true competitor to Uber and its earnings are likely to grow as the travel environment "modernizes" in the future. At $9.75, the stock closed all previous lower gaps on the daily chart. Currently, open price gaps (which are often good predictors of future price movement) are all above its current price. A bottom *may* be in, but see intro... I view the current price as a personal buy zone with room for additional shares if the price dips to near $5 (and fundamentals don't change). A high-growth potential stock in an ever-changing travel environment. Target #1 = $15.00 Target #2 = $22.00 Target #3 = $30.00 Target #4 = $75.00+ (long-term view...)
NASDAQ:LYFTLong
by WorthlessViews
1