Get started

Earnings

$NKE NIKE | NIKE RANGE BREAKOUT TRADE SETUPS - Dec06'24NYSE:NKE NIKE | NIKE RANGE BREAKOUT TRADE SETUPS - Dec06'24 NYSE:NKE Trends: NYSE:NKE Weekly: Bearish NYSE:NKE Daily: Bearish NYSE:NKE 4H: Bearish NYSE:NKE 1H: Bullish BUY/LONG ZONE (GREEN): $79.25 - $88.00 DO NOT TRADE/DNT ZONE (WHITE): $77.25 - $79.25 SELL/SHORT ZONE (RED): $71.00 - $77.25 NYSE:NKE had a bearish gap down caused by earnings on Oct01. Continuation after the slight pullback to 84.50, price breaks below 81.25 and 80.75, two minor levels I was monitoring. Price breaks this zone, retests, then continues back downwards to 73.25. Price touches 73.25 then begins a slight bullish rally up to 77.25 - 78.00 zone. Current sideways range, bulls look for break above 79.25, bears look for break below 77.25. NYSE:NKE next earnings report is mid/late Dec. 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, technical indicators, support and resistance, nke, nike, NYSE:NKE , niketrade, niketrend, nketrade, nketrend, nikesideways, nikerange, nkerange, chartpattern, rangetrading, rangebound, nikeprice, nikeanalysis
NYSE:NKE
by TonyAiello
$FREY - more money down the drain, headed for the graveyardNYSE:FREY is a company set up to enrich the owners and key players. They have tapped into subsidies in several countries, and the owners have made millions. They have delivered nothing, and plan after plan has been cancelled. After getting tons of money and praise in Norway, they shut down and moved to the US. Because the US government provided a better environment. Still delivering nothing, they now got awarded €122 million from the EU. Watch this money go down the drain, or into owners pockets. No point in doing any technical analysis, this company is heading in one direction only. Be aware of short termed price jumps based on nonsense, it is all part of the process of bankruptcy. As always, do your own due diligence. If this company is alive in its current form in 1 year, I will never post anything in here again.
NYSE:FREYShort
by WeRideAtDawn
Price consolidation with earnings ahead, great fundamentals!Over the last five years, the company has experienced rising revenues, though growth began to decelerate in FY 2022. Quarterly revenue data from 2023 and 2024 indicates that FY 2024 will achieve at least a 10% year-over-year revenue increase. YETI's revenue is typically seasonal, peaking during the holiday season. FY 2023 revenues were impacted by a voluntary product recall, which was completed before FY 2024 began. Currently, YETI is trading at over one standard deviation below its two-year average P/E ratio, at approximately a 16% discount from historical averages, with an implied stock value in the range of $43.06 to $49.05 per share. The company is largely equity-funded and has a $300 million credit line based on SOFR. As of Q2 2024, it pays 7.3% on $80 million of debt, and its cash-to-debt ratio is greater than one, indicating no need for additional capital to cover all debt obligations. Since August 2022, insider purchases have far exceeded insider sales, with 468,637 shares acquired at an average cost basis of $39.24 per share. The current stock price is below this cost basis, highlighting the stock's discount. The significant volume of insider buying relative to sales further underscores this discount. Additionally, YETI is authorized to repurchase $300 million in stock in FY 2024. Four hedge funds hold substantial positions in YETI, with each either adding to or establishing new positions in 2024. Their cost basis for these holdings ranges from $38.58 to $42.49. I recommend a BUY rating for YETI, with a target price of $46.89. The current stock price is trading below all analyst recommendations and below the average hedge fund cost basis, making it an attractive value buy. This post was rephrased with chatGPT, but is my work. All data is supported by research with a different software.
NYSE:YETILong
by NickTBrewer
1
ICP from6,8to15 NEXT SOL and ETH killer CMC lies about the chartEvery dip its a good point of entry to buy on spot and long x2 ICP will turn parabolic soon when mass adoption kicks in there is no limit, if also the coin gets good marketing will help, but the problem is abut there is real crypto mafia that control the market, they decide which coin to pump and what no, I heavily believe Coinmarketcap chart (check ICP Coinbase chart) is manipulated in order to keep extracting the money of new users to buy stupid coins that are copies of BTC and ETH all layer1 or layer2, all paying CMC and Coingecko to put false charts to make believe the coin is dead. ICP is the only that has real value of web3 hosting combined with AI and literally obliterates every other coin on market in terms of utility and usage, a REAL WORLD COMPUTER, just look at metrics, DAOs, the team... Also DFINITY partners with the Swiss goverment to implement the blockchain tech in Swiss files... Its now or never, 20USDT will be too late
Long
by Phibonesratsen
1
SALESFORCE $CRM | STRONG TREND UP TO EARNINGS Dec. 3rd, 2024SALESFORCE NYSE:CRM | STRONG TREND UP TO EARNINGS Dec. 3rd, 2024 BUY/LONG ZONE (GREEN): $338.75 - $400.00 DO NOT TRADE/DNT ZONE (WHITE): $331.00 - $338.75 SELL/SHORT ZONE (RED): $250.00 - $250.00 Weekly: Bullish Daily: Bullish 4H: Bullish 1H: Bearish NYSE:CRM releases earnings today, Tuesday Dec 3rd, after market close. Price ranges up to previous earnings on Aug 28th. This range finally breaks out and creates a bullish trend that has held strong leading up to today's earnings. High timeframes show bullish trend (my trend determining indicator), along with current chart trend bands (my channel/bands directional bands). ATM Straddles suggest the expected move to be around 7.25%, or $24.00 in either direction. This is on pace with it's average and historical earnings moves (previous 8 - 12 quarters). My estimated moves: Downside: ~$300 Upside: ~$360 (30-45 DTE) 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, rangebreakout, rangebreakdown, rangetrading, chartpatterntrading, chartpatterns, crm, NYSE:CRM , salesforce, salesforce earnings, earningsplay, salesforcetrend, salesforcetrade, crmtrend, crm earnings, crmtrade, crmstrongbullishtrend, salesforcestrongbullishtrend, options, optionstrading, atmoptions, atmstraddles, atmstrangles, willcrmbeatexpectedmove, expectedearningsmoves,
NYSE:CRM
by TonyAiello
OKTA $OKTA | RANGE BOUND EARNINGS PLAY - Nov. 3rd, 2024OKTA NASDAQ:OKTA | RANGE BOUND EARNINGS PLAY - Nov. 3rd, 2024 BUY/LONG ZONE (GREEN): $78.75 - $99.00 DO NOT TRADE/DNT ZONE (WHITE): $71.50 - $78.75 SELL/SHORT ZONE (RED): $58.75 - $71.50 Weekly: Bearish Daily: Bearish 4H: Bullish 1H: Bullish NASDAQ:OKTA price movement has been range bound since the previous earnings report on Aug28th. I am now looking for this upcoming earnings report on Nov3rd post market to be the new catalyst for breaking out or down from this range. The bottom level of the range marks the 52 week lows. For the time being, price has made its way to the top of the range, if there is a negative reaction to the earnings report, price may only dip back down to the bottom of the range and stay within the sideways levels. 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, rangebreakout, rangebreakdown, rangetrading, chartpatterntrading, chartpatterns, earnings, earningsplay, earningsreport, upcomingearnings, oktaearnings, $oktaearnings, NASDAQ:OKTA , oktaearningsreport, oktatrades, oktatrade, oktarange, oktapricerange, oktatradesetup, oktaanalysis, oktarangelevels, oktapricelevels, oktaoptions, optionstrading,
NASDAQ:OKTA
by TonyAiello
2
PA #1 : NZDCAD BUY 27/11/24 SLFirst Post Analysis This explain my NZD CAD TRADE Here is the 3 main questions i answer: 1. what did i do right ? - Asking the right questions: is there activity/job today ? and if yes, where it is ? - Identification of fundamental high impact news - Confirmation of market reaction - identification of the asset (here NZD) - Conparision of the market reaction with the overall flow - Pair selection: pariring with the CAD which was weak plus high market reaction - Identification of the Power (previous day break and previous session break). Even if the loss is here, I still bought in the right direction and for a good price 2. what did i do wrong ? - Was wrong on the timing specifically, entered in a pullback when the sellers were still dominating. Didn't wait for the retest to confirm if the sellers are weak. - Too much Timeframes (30s) which create confusion. - Too stuck on a pattern, when the market won't necesseraly show the same way 2. What am I going to change from now - I will stick to the 2 TF (15 min and 3 min) or 1H and 15 min - I will wait for the sellers to fail and THEN look for the money spot. FINAL DAY: -2.76% OBJECTIF: +10%
Long
by elpatrondelamafia
2
NVIDIA $NVDA | NVIDIA EARNINGS REPORT Nov. 20th, 2024NVIDIA NASDAQ:NVDA | NVIDIA EARNINGS REPORT Nov. 20th, 2024 BUY/LONG ZONE (GREEN): $148.75 - $165.00 DO NOT TRADE/DNT ZONE (WHITE): $138.00 - $148.75 SELL/SHORT ZONE (RED): $118.25 - $138.00 Weekly: Bullish Daily: Bullish 4H: Bullish NASDAQ:NVDA reports earnings today, these are the areas that I will look for significant price movement at. The market is anticipating around an 8.5% move, roughly an $11.50 move in either direction, based on ATM option prices, or an 11%-12% move, roughly $16.50 move in either direction, based on volatility calculations. 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, rangebreakout, rangebreakdown, rangetrading, chartpatterntrading, chartpatterns, spy, sp500, s&p, fed, federalreserve, fedrate, fedratecut, interestrate, jeromepowell, fedchair, 50bps, volatile, volatility, nvidia, nvidiapricetarget, nvdatrend, nvidiatrend, nvdasetup, nvidialongs, nvidiashorts,
NASDAQ:NVDA
by TonyAiello
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