Get started
DOL LONG TRADE (SECOND STRIKE)DOL LONG TRADE (SECOND STRIKE) DOL has been in Uptrend since Jul 2022, it spent around two years in Re-Accumulation phase. It broke out of this Re-Accumulation Zone in Dec 2024. It re-tested this Breakout in Multiple Bottom Pattern since then. It has now broke out of this Re-Test Zone in Spike Pattern creating multiple Fair Value gaps on the way. Now it is pulling back towards the FVGs and it is expected to bounce back upwards and achieve its revised targets. 🚨 TECHNICAL BUY CALL – DOL🚨 BUY ZONE: 29.4-27.7 📈 TP1 : Rs. 33.88 📈 TP2 : Rs. 37.32 🛑 STOP LOSS: BELOW Rs. 26.8 (Daily Close) 📊 RISK-REWARD: 1:2.9 Caution: Please buy in 3 parts in buying range. Close at least 50% position size at TP1 and then trail SL to avoid losing incurred profits in case of unforeseen market conditions. PLEASE BOOST AND SHARE THE IDEA IF YOU FIND IT HELPFUL.
PSX:DOLLong
by Mushtaque77
GAL LONG TRADEGAL is in a Consolidation since past 5 months- the simple Rule of Trading Ranges is "BUY LOW AND SELL HIGH". GAL has been trading towards channel bottom and now has shown a significant reversal confirmed by HL, VG and price crossing over EMA-20 on 1H TF. 🚨 TECHNICAL BUY CALL –GAL🚨 🎯 BUY ZONE: Rs. 425-430 📈 TP 1: Rs. 445 📈 TP 2: Rs. 468 📈 TP 3: Rs. 490 🛑 STOP LOSS: Below Rs. 413 (Daily Close) 📊 RISK-REWARD: High Conviction | 1:5 Caution: Buy in 3 parts within given range - Please close at least 50% position size at TP1 and then follow strict trailing SL to avoid losing incurred profits in case of unforeseen market conditions. SHARE AND BOOST IF YOU FIND THIS HELPFUL
PSX:GALLong
by Mushtaque77
ASL LONG TRADE (SECOND STRIKE)ASL LONG TRADE (SECOND STRIKE) ASL remained in a Wyckoff Accumulation Phase for nearly a year before breaking out in December 2024, reaching a high of 13.42. This was followed by a corrective downward channel. Recently, the stock has completed key structural milestones, including a Test of Breakout (TOB), a reversal, the formation of a Higher Low (HL), and a breakout from the corrective channel. Currently, it appears to be in its second pullback, offering a potential re-entry opportunity within the broader continuation structure. 🚨 TECHNICAL BUY CALL – ASL 🚨 BUY ZONE: 11.35-10.94 in three parts 📈 TP1 : Rs. 12.85 📈 TP2 : Rs. 13.75 📈 TP3 : Rs. 15.73 🛑 STOP LOSS: BELOW Rs. 9.7 (Daily Close) 📊 RISK-REWARD: 1:3.9+ Caution: Close at least 50% position size at TP1 and then trail SL to avoid losing incurred profits in case of unforeseen market conditions. PLEASE BOOST AND SHARE THE IDEA IF YOU FIND IT HELPFUL.
PSX:ASLLong
by Mushtaque77
AGIL LONG TRADE/INVESTMENT CALL 03-06-2025AGIL – Technical Buy Setup (Wyckoff Transition Breakout) AGIL has successfully transitioned through the Wyckoff Phases — from Accumulation, into a Spike, and then forming a Channel/Triangle structure. The recent breakout from this channel, confirmed by a positive volume gradient, indicates bullish continuation. Price is currently trading above the 20-EMA, reinforcing momentum strength. Entry Plan (Scale-In): Buy 1: Rs. 120-126 Buy 2: Rs. 100 🎯 Targets: TP1: Rs. 138 TP2: Rs. 152.9 TP3: Rs. 163.9 🛑 Stop Loss: Below Rs. 90(Daily Close) 📊 Risk-Reward: 1:4+ ⚠️ Risk Management: Close at least 50% at TP1 and trail SL to protect profits in case of unexpected volatility.
PSX:AGILLong
by Mushtaque77
NATF LONG TRADENATF was trading within an ascending channel and recently rebounded from the channel's lower boundary. Simultaneously, it had been forming a Head & Shoulders pattern on the side, from which it has now broken out to the upside. Price action is also holding above the EMA-20. These three confluences—channel support, H&S breakout, and EMA-20 support—combined with favorable volume distribution, created a strong setup for a potential explosive continuation (ERC) move to the upside. 🚨 TECHNICAL BUY CALL – NATF🚨 BUY ZONE: 265-240 in three parts 📈 TP1 : Rs. 276 📈 TP2 : Rs. 289 📈 TP3 : Rs. 298 🛑 STOP LOSS: BELOW Rs. 228 (Daily Close) 📊 RISK-REWARD: 1:4.55 Caution: Close at least 50% position size at TP1 and then trail SL to avoid losing incurred profits in case of unforeseen market conditions. PLEASE BOOST AND SHARE THE IDEA IF YOU FIND IT HELPFUL.
PSX:NATFLong
by Mushtaque77
Revenue growth nine consecutive quarters Ouster’s global partner network spans over 50 countries, supporting approximately 600 customers with applications in autonomous vehicles, robotics, drones, mapping, defense, and smart cities. Ouster has been getting lots of attention lately 230k 20 call 1/16/26 I'm wondering if someone knows there's an announcement coming this year that will get them ABOVE $20. Great growth stock huge partners here are some notable ones. Anduril Industries: weapons/defense tech * Komatsu: construction mining * Vecna Robotics: warehouses NVDIA: integration/traffic *** Forterra, Textron, Field AI, and U.S. Army: vehicles Google Maps, Apple Maps, Oshkosh Defense, John Deere: sensory Amazon Robotics: Ouster’s LiDAR sensors are reportedly used in Amazon’s Proteus robots, described as part of a significant order, though not officially published. *** Right at monthly resistance now 15$ is a strong resistance. Any pull back to $10 ish would make great buying opportunity I'm long from earlier this week July 14C / 16C Aug 17C looking to add BUT I'm also trading these the daily RSI is at 75 nearing overbought, weekly has room to run at 64 monthly is at 50 which it could reject momentarily from. Either way great company to DCA shares still under 1B market cap!
NASDAQ:OUSTLong
by WSMS199
Potential Reversal Zone for NVDAThis chart of NVIDIA Corporation (NVDA) as of June 3, 2025, shows a technical analysis scenario forecasting a possible bearish reversal. The price action, zones, and arrows suggest a setup based on supply and demand zones. Key Elements in the Chart: 🔴 Supply Zone (Resistance Area) Location: Around $141.73 to ~$144 Observation: The price recently entered this red-shaded area, indicating strong historical resistance. Implication: The area is expected to act as a ceiling, where sellers may overwhelm buyers, causing a reversal. ⚫ Price Reaction: The chart shows price approaching and briefly piercing the supply zone, followed by a bearish candle or rejection (as indicated by the top arrow). Arrows project a downward movement, suggesting bearish sentiment. 🟢 Demand Zone (Support Area) Location: Approximately $114–$121 Observation: This green-shaded area acted as a base for a previous upward move. Implication: It is likely to act as a strong support if the price drops significantly. Projected Price Path: Short-term reversal from the resistance zone (~$144). Initial drop to mid $130s (likely a lower high or minor support). Continuation to demand zone around $116, completing the projected bearish move. Technical Interpretation: This setup is a classic supply and demand reversal strategy. Confirmation of the short setup may require: A clear rejection candle at resistance. Break of minor support levels on the way down. Risk for bulls is high near resistance; short sellers may find opportunities targeting the demand zone.
NASDAQ:NVDAShort
by ZareeFxTradingAac
AGTL Weekly Chart Analysis (PSX: AGTL)🟢 Consistent Bullish Reaction from Trendline Support Trendline Support: Price is respecting a strong ascending trendline that has been tested multiple times since 2023. Key Observation: Each time price touches the trendline, it consolidates for exactly 6 weeks. After this 6-week consolidation, AGTL typically enters a strong bullish rally. 🔁 Repeating 6-Week Pattern First Zone: October 2023 — 6-week base → breakout rally. Second Zone: July 2024 — again 6-week accumulation → bullish trend resumes. Current Zone: May 2025 — AGTL touched the trendline again and has completed another 6-week base. This is the third time this exact behavior is repeating, indicating a strong fractal pattern and high probability of a new uptrend starting soon. 🔮 Bullish Outlook If history repeats, AGTL is likely to start rallying soon, potentially leading to a new swing high over the coming weeks/months. The 6-week cycle provides a time-based edge to anticipate movement rather than reacting late. 📌 Possible Price Projections for Bullish Trend These are historically grounded targets based on actual previous price movements following similar trendline+consolidation patterns. If AGTL follows the same 6-week base → rally pattern again: Short-term target: ~670 PKR (87%) Extended bull case: ~1030 PKR (188%) 📈 Conclusion AGTL is showing strong technical consistency: Each touch of the trendline has led to a 6-week accumulation followed by a bullish breakout.
PSX:AGTLLong
by ByteSignals
Woodward Breaks Out: $250 in Sight as Momentum Clears Multi-YearWoodward Inc. (WWD) just completed a textbook breakout from long-term resistance near $197, and the move is being confirmed with strong momentum, but near-term caution is warranted as RSI and MACD are both flashing extended conditions. Technical Breakdown – WWD Price Action – Long-Term Breakout Price has cleared a major multi-year resistance zone around $197, a level that capped the stock for years. This breakout is part of a strong uptrend, and there's little overhead resistance until psychological round numbers like $250+. The breakout has held and extended — suggesting institutional conviction and trend shift confirmation. Let’s walk through the Fibonacci extension analysis on Woodward Inc. (WWD) to project logical upside targets from this long-term breakout. Fibonacci Extension Setup We’ll anchor the Fib extension to the most relevant long-term impulse wave: Swing low: ~$85 (October 2022) Swing high: ~$197 (December 2023 — major resistance level just broken) Pullback low: ~$157 (Feb–Mar 2024) This defines the first leg of the uptrend and gives us a base for projection. $224 zone is where price currently sits — minor resistance. $250 matches your psychological round number target and the 1.618 Fib extension — high-probability level to take profits or expect selling. $280 is possible if the broader market stays bullish and industrial/defense names continue to lead. Final Take: WWD is in price discovery above long-term resistance — with $250 as the primary upside target and $280 as a stretch zone if momentum persists.
NASDAQ:WWDLong
by BenRoses
Key Catalysts Driving Nvidia’s Stock Growth 2025 and BeyondKey Catalysts Driving Nvidia’s Stock Growth (Mid-2025 Onward) Nvidia (NVDA) has solidified its position at the center of the AI computing boom, with record fiscal 2025 revenue of $130.5 billion (114% year-over-year growth) driven by surging demand for its AI chips. Looking ahead from mid-2025, multiple fundamental catalysts are expected to power further stock price growth. Below, we identify 10 primary forward-looking growth drivers for Nvidia, each ranked by expected impact (0 to 10) and analyzed with recent data, forecasts, and developments. 1. AI Chip Dominance – Strength: 10/10 Nvidia is the undisputed leader in accelerated AI hardware, commanding a dominant market share in data-center GPUs and AI chips. Its GPUs have become the backbone of modern AI – Nvidia “holds the pole position” in the AI ecosystem, with industry estimates showing it controls over 90% of the data-center AI processor market. This chip supremacy gives Nvidia tremendous pricing power and a virtuous cycle: more developers adopt its CUDA platform and hardware, further reinforcing its lead. As advanced AI models grow ever more complex, Nvidia’s top-of-the-line silicon (from the current Blackwell GPUs to upcoming architectures) remains the default choice for training and deploying cutting-edge AI, positioning the company to capture the lion’s share of the AI revolution. 2. Explosive Data Center AI Demand – Strength: 10/10 Skyrocketing demand from cloud giants and enterprise data centers for AI compute is a core growth engine for Nvidia. The company’s data-center segment has experienced exponential growth – in calendar 2023, Nvidia’s data center revenue surged by 409%– as hyperscalers raced to build out AI infrastructure for large-scale training and inference. This upward trend is expected to continue into 2025 as companies pour capital into AI-driven services. Notably, tech titans like Meta, Microsoft, Amazon, and Google have collectively pledged over $300 billion in 2025 AI-related capex, reflecting no slowdown in spending on AI servers. Nvidia directly benefits, as its high-end GPUs (e.g. H100 and Blackwell) are heavily deployed for these AI workloads. In its latest quarter, Nvidia reported data center revenue of $39.1 billion (up 73% year-on-year – an astonishing run-rate driven by relentless orders from cloud providers. With customers reportedly maintaining or increasing their 2025 AI infrastructure plans, data-center demand remains an unparalleled catalyst for Nvidia’s growth over the next several years. 3. Mainstream AI Adoption Across Industries – Strength: 9/10 AI is rapidly becoming ubiquitous in business processes and consumer applications, translating to broad-based demand for Nvidia’s technology beyond the hyperscalers. “AI has gone mainstream and it’s being integrated into every application,” CEO Jensen Huang noted – from logistics and e-commerce to healthcare and finance, organizations are embedding AI to gain efficiency and insights. This everyday AI usage sustains high growth for Nvidia as enterprises large and small invest in AI capabilities, often via cloud services powered by Nvidia GPUs. The company is banking on this pervasive adoption (“AI…in delivery services everywhere, shopping services everywhere”) to drive continued revenue expansion. Crucially, as AI moves into normal operations – such as automated customer service, supply chain optimization, and data analytics – demand shifts from one-off experimental projects to ongoing, scaled deployments. This creates a steady, secular tailwind for Nvidia’s AI platforms (both hardware and software) across virtually every industry. Analysts expect Nvidia’s revenue to keep rising at a healthy clip (UBS projects ~$147 billion by 2026, up from ~$27 billion in 2023f) precisely because AI adoption is broadening into a long-term, multi-industry growth cycle. In short, the “AI everywhere” era means sustained demand for Nvidia’s solutions well beyond the tech sector. 4. Strategic Partnerships & Alliances – Strength: 8/10 Nvidia has forged high-impact partnerships across tech, industry, and even nations, which amplify its market reach and create new revenue streams. Robust alliances with virtually all major technology players are central to Nvidia’s strategy, enabling it to deliver solutions at massive scale. For example, Nvidia expanded collaborations with cloud providers and enterprise software firms: Snowflake now integrates Nvidia’s full-stack AI platform to help customers build AI applications in the Data Cloud, and ServiceNow is co-developing enterprise AI agents with Nvidia’s tools to transform business workflows. These deals embed Nvidia’s AI technology into popular platforms, driving indirect adoption of its chips and software. On the global stage, Nvidia is also partnering with governments and sovereign investment funds to supply AI infrastructure. In May 2025, Nvidia announced a major partnership with Saudi Arabia’s AI firm Humain (backed by the Saudi Public Investment Fund) to build out national AI infrastructure. In the first phase, Humain will purchase 18,000 of Nvidia’s advanced Grace Blackwell AI superchips for new Saudi data centers. Such large-scale deals not only yield immediate chip sales but also cement Nvidia’s position as the go-to provider for strategic AI projects. Overall, by teaming up with influential cloud vendors, software companies, automakers, and governments, Nvidia is seeding long-term growth opportunities far beyond what it could achieve alone. 5. Automotive & Autonomous Systems – Strength: 8/10 Nvidia’s push into automotive AI is expected to become a significant growth driver as the auto industry evolves toward self-driving, electrification, and software-defined vehicles. Nvidia’s automotive segment – which provides AI chips and software (Drive platform) for driver assistance and autonomous driving – grew 27% year-over-year recently and is considered the company’s next billion-dollar business line. The pipeline is robust: more than 25 vehicle makers (including EV leaders BYD, NIO, Lucid and stalwarts like Mercedes-Benz, Volvo, Jaguar Land Rover) have adopted the NVIDIA DRIVE system-on-chip for their next-generation cars. Starting in 2025, all new Jaguar Land Rover models will be built on Nvidia’s Drive AI platform (from cloud training to in-car chips), and Mercedes is rolling out Nvidia-powered “Hyperion” AI computers in its 2024 models. These design wins translate to multi-year revenue streams in hardware and software (through NVIDIA’s DRIVE OS and AI cockpit software). As vehicles become “computers on wheels” requiring sophisticated AI for perception and decision-making, Nvidia is uniquely positioned with its automotive-grade Orin/Atlan chips and full software stack. Additionally, Nvidia’s technology is expanding into robotaxis, trucking, and autonomous industrial machines, tapping markets beyond passenger cars. While automotive AI revenue is smaller today than data center, its growth trajectory (with a design-win pipeline exceeding $11 billion over 6 years makes it a strong catalyst moving forward – effectively adding a new vertical to Nvidia’s growth profile as self-driving capabilities proliferate. 6. Expanding Software Ecosystem & Platforms – Strength: 9/10 A critical (and often underappreciated) driver of Nvidia’s success is its full-stack software ecosystem, which greatly extends its reach and creates a sticky moat around its hardware. Nvidia has spent years developing software frameworks, libraries, and tools (from the CUDA programming platform to AI frameworks like TensorRT and NVIDIA AI Enterprise) that are custom-built for its chipsets. This tight integration means anyone building AI, HPC, or graphics applications can leverage Nvidia’s optimized software to get superior performance – but in doing so, they become tied into Nvidia’s platform. For example, CUDA has become the de facto standard for GPU computing, with countless applications and machine learning models written for Nvidia GPUs. The result is a virtuous ecosystem: over 4 million developers now work with Nvidia’s SDKs, and the company continually updates its software (e.g. CUDA Toolkit, cuDNN, Triton inference server) to support new AI breakthroughs. Beyond enabling hardware sales, software is becoming a direct revenue stream. The NVIDIA AI Enterprise suite – a cloud-native AI software platform dubbed the “operating system for enterprise AI”– is sold via licenses and subscriptions to corporations deploying AI. Likewise, Nvidia’s DGX Cloud offering provides its AI infrastructure “as-a-service” via cloud partners, contributing to nearly $1 billion in annual recurring revenue already. By expanding its software stack and services, Nvidia not only locks in customers, but also moves up the value chain. This software-centric strategy is a powerful catalyst: it boosts margins, fosters customer loyalty, and opens Nvidia to growth beyond chip sales – for instance, through AI cloud services, enterprise support contracts, and developer platform fees – all of which support a higher long-term valuation. 7. Omniverse and Digital Twin Leadership – Strength: 7/10 Nvidia is spearheading the use of AI and graphics in simulation, positioning its Omniverse platform as the standard for industrial metaverse applications and digital twins. Omniverse is a real-time 3D simulation and collaboration platform that enables companies to create virtual worlds – “digital twins” of products, factories, cities, and even data centers – with physical accuracy. This initiative is forward-looking and strategic: it drives demand for Nvidia’s professional GPUs and AI software as more industries embrace simulation for design, engineering, and operations. Recent developments underscore Omniverse’s momentum: at GTC 2025, Nvidia announced an expansion of Omniverse with major partners like Ansys, Siemens, SAP, and Schneider Electric integrating it into their solutions to build smarter factories, robots and AI-driven facilities. In other words, leading industrial software providers are embedding Nvidia’s metaverse platform to help enterprise customers digitize their operations. The Omniverse allows engineers to visualize complex systems and test scenarios virtually – for example, designing a gigawatt-scale AI data center in simulation (including cooling and electrical systems) before building it in reality. Automakers use Omniverse to simulate autonomous driving; architects create virtual building models; manufacturers test production line changes in a risk-free virtual space. As this “industrial metaverse” trend grows, Nvidia’s early lead could yield a new ecosystem (and revenue source) of Omniverse software subscriptions, cloud services, and associated hardware sales. While still emerging, the platform’s potential is significant – it extends Nvidia’s reach into every field that uses simulation or 3D design, leveraging its core strengths in graphics and AI. In the coming years, Omniverse-driven demand for GPUs (for rendering and physics simulation) and software could become a notable catalyst augmenting Nvidia’s more mature segments. 8. Continuous Innovation and Product Roadmap – Strength: 9/10 Nvidia’s planned GPU hardware roadmap through 2027 (Ampere/Hopper to Blackwell to Rubin architectures) demonstrates its aggressive cycle of innovation, with each generation delivering major leaps in AI performance. A key reason Nvidia maintains its edge is relentless R&D yielding regular leaps in performance – a pipeline of new GPUs and systems that keep customers upgrading. The company’s roadmap beyond mid-2025 is packed with heavyweight launches. Its current flagship data-center GPU family, Blackwell, only ramped production in early 2025, yet Nvidia is already preparing the next architecture, codenamed “Rubin,” for 2026. CEO Jensen Huang has affirmed that Blackwell Ultra GPUs (a mid-cycle upgrade with faster memory and networking) will debut in late 2025, followed by the next-generation Rubin GPU platform shortly thereafter. Partners are “getting up to speed” on Rubin, which is expected to provide a “huge step up” in AI capability. In fact, Nvidia has outlined a cadence of major launches every even year (2024 Hopper → 2026 Rubin → 2028 Feynman, etc.), with incremental updates on odd years. This rapid pace matters for the stock: each new generation spurs a replacement cycle as cloud firms, enterprises, and supercomputing centers upgrade to unlock higher efficiency. For instance, the Blackwell-based systems offer up to 1.5× the performance of the prior Hopper chips, and Rubin is expected to jump even further, enabling more advanced AI models (critical as the industry chases artificial general intelligence). Nvidia’s ability to consistently deliver order-of-magnitude improvements – e.g. through more memory (HBM4E), faster interconnects, and specialized AI cores – encourages customers to expand their Nvidia-powered infrastructure. In turn, it deters competitors who struggle to match Nvidia’s R&D breadth. This continuous innovation cycle ensures that as AI workloads grow, Nvidia will have the cutting-edge products ready – keeping demand (and revenue growth) on an upward trajectory. 9. Full-Stack Expansion (CPUs, DPUs & Networking) – Strength: 8/10 Nvidia is evolving from a pure GPU vendor into a full-stack data center platform provider, expanding into CPUs, networking, and data processing units (DPUs). This strategic broadening of its product portfolio substantially increases Nvidia’s addressable market and lets it capture more value per system. Notably, Nvidia’s homegrown CPU (central processor), codenamed Grace, began shipping to customers in 2024–2025. Grace is a high-performance Arm-based CPU designed to pair tightly with Nvidia GPUs, capable of handling enormous data flows between chips – a crucial advantage for AI and HPC workloads. By offering its own CPU, Nvidia can sell complete server platforms (CPU+GPU) and optimize the whole system for AI. Jensen Huang highlighted that integrating GPUs with CPUs can boost computing speeds by 100× while only tripling power usage, underscoring the efficiency gains of Nvidia’s full-stack approach. Alongside CPUs, Nvidia has invested in networking and interconnects (acquiring Mellanox in 2020) and now leads in ultra-fast data center networks. Its latest Spectrum-X switches and ConnectX/BlueField SmartNICs (DPUs) are built to alleviate data bottlenecks in AI supercomputers. Industry analysts predict rapid growth in this DPU/SmartNIC space (a ~$5.5 billion market by 2031), and Nvidia is well positioned to dominate it with BlueField. By selling DPUs and switches alongside GPUs, Nvidia ensures that AI clusters can scale out efficiently, which is a key selling point for cloud providers. Importantly, these moves encroach on traditional CPU and networking incumbents – every Nvidia Grace CPU or BlueField DPU sold potentially displaces a competitor’s chip, consolidating more of the data center stack under Nvidia. The full-stack strategy thus acts as a force-multiplier for growth: Nvidia can address virtually every component of AI infrastructure, from processing to networking to storage acceleration. As customers increasingly prefer integrated solutions, Nvidia’s ability to provide the “entire package” drives incremental revenue and strengthens its competitive moat in the AI infrastructure market. 10. Global AI Infrastructure & New Markets – Strength: 8/10 Nvidia’s growth is set to benefit from international expansion and a wave of government-driven AI infrastructure investments. Around mid-2025, export policies began to favor Nvidia’s business, widening its reachable market. The U.S. Commerce Department’s rollback of certain AI chip export rules in May 2025 removed restrictions on which countries Nvidia can sell advanced AI chips to, easing a headwind that had weighed on the stock earlier. This policy shift, coupled with surging interest in AI globally, has unlocked huge orders from new regions. For instance, the Middle East is emerging as a major AI hub: the United Arab Emirates reached a preliminary agreement with the U.S. to import up to 500,000 of Nvidia’s high-end AI chips per year starting in 2025 – a massive volume aimed at making the Gulf a “third AI power center” alongside the US and China. Similarly, Saudi Arabia has announced plans to invest hundreds of billions in tech and is buying a TON of Nvidia chips for its own “AI factories” as part of a $600 billion investment pledge in U.S. and AI infrastructure. These moves reflect a broader “sovereign AI” trend: governments and enterprises worldwide are building domestic AI supercomputers (for national security, research, or competitive advantage) – and Nvidia is the go-to supplier for the requisite hardware. Additionally, markets like India, Southeast Asia, and Latin America are ramping up cloud data center builds and AI initiatives, representing new growth frontiers for Nvidia’s datacenter GPUs. Even in China – despite ongoing export controls – Nvidia has navigated restrictions by offering modified chips (like the A800/H800) to continue serving demand. Altogether, the global arms race in AI computing acts as a tailwind for Nvidia: it guarantees a steady stream of orders from across the world. With geopolitical allies now explicitly allowed (and eager) to procure Nvidia’s top chips, the company stands to fill the AI compute gap globally, driving revenue growth beyond the traditional U.S. customer base. In summary, expanding international markets and large-scale AI infrastructure projects are a catalyst that could propel Nvidia’s next phase of growth. Sources: The analysis above incorporates information from recent Nvidia financial reports, press releases, and expert commentary, including Nvidia’s FY2025 earnings, CEO Jensen Huang’s statements on AI demand, analyst insights on spending and growth forecasts, and news of key deals and policy changes affecting Nvidia. These catalysts underscore Nvidia’s unique positioning at the intersection of AI hardware, software, and global adoption, suggesting that from mid-2025 onward, the company has multiple powerful growth drivers supporting its stock’s long-term trajectory.
NASDAQ:NVDALong
by ProjectSyndicate
48
Games Workshop Stock Quote | Chart & Forecast SummaryKey Indicators On Trade Set Up In General 1. Push Set Up 2. Range Set up 3. Break & Retest Set Up Notes On Session # Games Workshop Stock Quote - Double Formation * (A+ Set Up)) - *Entry & Long Support | Completed Survey * (Retest & Entry)) / 2nd Trade Set Up | Subdivision 1 - Triple Formation * (P1)) / (P2)) & (P3)) | Subdivision 2 * (TP1) | Subdivision 3 * Daily Time Frame | Trend Settings Condition - (Hypothesis On Entry Bias)) | Indexed To 100 - Position On A 1.5RR * Stop Loss At 153.00 GBP * Entry At 162.00 GBP * Take Profit At 170.00 GBP * (Uptrend Argument)) & No Pattern Confirmation * Ongoing Entry & (Neutral Area)) Active Sessions On Relevant Range & Elemented Probabilities; European-Session(Upwards) - East Coast-Session(Downwards) - Asian-Session(Ranging) Conclusion | Trade Plan Execution & Risk Management On Demand; Overall Consensus | Buy
SPREADEXSB:GAWLong
by TradePolitics
FVRR - The Algorithms can tell you everythingI've been following FVRR this entire consolidation period and have been able to track movements based on just two simple algorithms - are we respecting the white taper or are we respecting the red stronger. Once we proved the white taper on the sell side, we immediately broke out of red with strength and found the HTF white. That is the game we play here and it can yield incredible results if handled with patience! Happy Trading :)
NYSE:FVRRLong
by ReigningTrades
[documentation] How I take a long trade.let's get straight to the point. If I believe that I want to be long a stock, I: 1. make sure the underlying index is in a long trend (rather, it has not corrected sharply in the near left, because all indexes are long by default, they enter bearish periods from time to time.) NIFTY 3 day chart: - nifty above 7SMA (doesn't matter what EMA you use, as long as it is not obnoxiously large like 77. with that value, the underlying is about to be above it forever). (you can look at other indices like the nifty smallcap but we live in an age where everything is fucking correlated. don't overkill.) preliminary check complete. SUZLON, alright. let's swing long. 1. how did I shortlist SUZLON? well, I have been following a bunch of stocks for a long long time. I came back to check how this one was doing, and viola, I had a solid trade idea. (I have swung Suzlon on the long side successfully before, and that just adds fuel to my fire; this step isn't necessary either). second, and most importantly, fundamentals. look at these things for the Q in particular: a. increasing EPS quarterly YoY. b. EPS growth Q YoY >> EPS growth trailing 12 months. (in lazy words, the company owes more pennies to shareholders this Q that it did on average in the last 12 months. this + point a guarantees(though nothing is certain) that the upward trend of the company's trajectory is more probable than a downward trend) c. increasing revenue growth, total equity growth, etc. these things help weed out the losers from the probable winners. don't swing a long when you can see some faults. use your abilities to their best, hombre. fundamentals aside, I am a technical trader. if I wanted to be a fundamentalist, I would buy an index and subscribe to a church/temple/mosque/whatever. as a technician, I believe that there is more money in the mountains and troughs of a stock's chart. the technicals: first, the trade setup. 1. whatever my idea may be, I look for the max possible loss I will be taking if shit goes south. there's no such thing as peace of mind, but there's relative peace of mind knowing what you lose when you're wrong. where do we set the SL? look at the D chart: 60? wrong. everyone and their momma will have their stop at a juicy round number. remember, the stock does not owe you to bounce off an arbitrary level at an exact point. so where then? look at the 3 day chart (here, any higher tf will work, I just prefer D, 3D, 7D). the current rally started where the lightbulb is placed. SL will be just below that: 58.92 or whatever fraction shines your shoes. keep it below 58. that gap between 60 and 58 is where you will turn most of your SL losers to at least breakeven winners. so, SL: 58.92 . 2. I scale into my longs. further reduction of risk as I work with unrealised profits. A wise man once said, great rallies don't end in a single day. lower risk, lower but more sure reward. me likey. I divide my net buying into four chunks. the buying will look like this: py(pyramid) 1: 66.66 py2: 67. (but i need a strong day for this). py3: 71.69. py4: near ATH: 75? these pyramids are approximate and I have no idea how the stock will behave on the daily chart. maybe it jumps 10% in a single day. maybe it takes 17 small green days. I don't know and I don't care. I want to get in my position between 67 and 75 with some unrealised profits. next steps: 1. TP levels and 2. updated SL. let's start with 2. 2. updated SL. you don't want a popcorn trade, trade that goes in your favor, completes its course and drops back down to your SL, giving you a burnt taste in your mouth. no sir. you want to figure out what the stock is doing to a better than a 50/50 chance. remember, huge profits >> positive breakevens >> negative breakevens >> SLed trades >> massive loss still held because of hopium. remember that order. you will graduate from consistently left to consistently right (hopefully, not politically). yada yada yada, how will you update the SL, wildhorse3? 1. till the stock goes well above 76; no updates to SL. 2. if the stock goes to 75 (prior resistance); has a sharp reversal; then we wait for a confirmation to get out/downsize. i'm talking about this situation. look at the possibilities: if red happens (aka failed retest); downsize rapidly, get rid of pyramids, congrats, you had a positive breakeven. pyramid later on if the stock does move to the up; that's for later. scenario green: do nothing, hold now, you made it. in this case, move the SL up to ~67; don't move it up to 72 like a fool (just yet). the reason: you want to give the stock some room to move. when something goes up, it does not owe you anything, and that includes, going up in the near term, going sideways, going down. (I don't mean to scold you, this text is written for just one person, and that is me. I scream when I remember a past mistake. take my lessons, or don't.) keep repeating this till eventually, you're out of a trade because your SL was hit. (and hopefully this SL was a level where you made bank) 1. TP levels gonna keep it simple, I am not used to writing long paragraphs. if you want to read more, I have a telegram channel where I keep blabbering. reach out for an invite. TP levels: a. zoom out. where might bears make money? ATH? das right. make that your TP1. b. what if das not right? zoom further out 190? 400? these log charts are sneaky! further older ATHs? well das semi right. c. just tell me the levels, bitch. okay, and mind your language. I don't know. I look to cover my losses, and I let a winner run (small losers, big big winners) when the pain of holding is greater than the joy of holding, I start closing the position. how do I measure the pain? well, I open my portfolio 15 minutes before close of the day. If I am greeted by a blast of red fumes, I know I need to work on my holdings in the near term (not. right. away.) if it is lush green, I: a. keep an eye open if it is too lush. stocks don't go up forever, and usually the green climaxes are so lush that it makes you want to buy more. that, my good sir, is the time to sell. b. if it is moderately okayish, modest toned down green; I do nothing. in summary, a summary: a. I wanna swing SUZLON long. b. SL: 58.92 c. pyramiding (4 increments): between 66 and 75. d. why SUZLON, why now? read this wall of text. as for why now, I will need to make another wall of text explaining why I enter now. (the gist: trending on D, 3D, 7D, nice overdone pullback, good market, above SMA, burst of volume post earnings, solid fundamentals, a FAFO idelogy). d. TP: if you want a level, go for 82.69.
NSE:SUZLONLong
by wildhorse3