PLTR resistance 90 breakout can give an interesting move
EURUSD buying oppertuinity based on Martket getting support at a very strong Support level. which is sign that market is currently in a potential reversal zone. accordingly TPs and SL are carefully choosen. What are your thoughts ?
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- AUDNZD reversed from key support level 1.0930 - Likely to rise to resistance level 1.0985 AUDNZD currency pair recently reversed up from the support zone between the key support level 1.0930 (former multi-month from December), support trendline of the daily down channel from February and the lower daily Bollinger Band. The upward reversal from this support zone will likely form the daily Japanese candlesticks reversal pattern Morning Star – if the pair closes today near the current level. Given the strength of the support level 1.0930 and the oversold daily Stochastic, AUDNZD currency pair can be expected to rise to the next resistance level 1.0985.
EURGBP is neutral on its 1D technical outlook (RSI = 52.272, MACD = 0.002, ADX = 25.202), going from an almost overbought RSI to neutral as it got rejected on the R1 Zone. That is the top of the 6 month Rectangle pattern, where the last rejection pulled the price all the way down to the S1 Zone. This time the presence of both the LH and HL trendlines makes us consider a slightly tighter trading range. The trade is short, TP = 0.82600. See how our prior idea has worked out: https://www.tradingview.com/chart/EURGBP/quiqqZme-EURBGP-Sell-signal-on-the-Channel-Down-top/ ## If you like our free content follow our profile to get more daily ideas. ## ## Comments and likes are greatly appreciated. ##
- EURCAD reversed from the resistance zone - Likely to fall to support level 1.5400 EURCAD currency pair recently reversed sharply from the resistance zone between the key resistance level 1.5800 (former major resistance from 2020) and the resistance trendline of the weekly up channel from 2022. The downward reversal from this resistance zone will likely form the daily Japanese candlesticks reversal pattern Evening Star. Given the strength of the resistance level 1.5800, EURCAD currency pair can be expected to fall to the next support level 1.5400.
Gold fell from a high of 1 hour. If gold continues to fall, then if gold rebounds and does not break the new high, then gold may show the embryonic form of a head and shoulders top in 1 hour. Again, gold fell from a high, and now it is at a high level. Don't chase more easily. After the news, the gold bulls' volume has been digested, and the gold bulls need to regain support. Gold rebounded under pressure at the high point of 3045 in the US market, and continued to go short at highs. The market is changing rapidly, and gold has entered an overbought state, so gold needs to be cautious in chasing more. On the whole, today's short-term operation of gold is recommended to be short-selling on rebounds, supplemented by long-selling on callbacks. The short-term focus on the upper resistance of 3050-3060, and the short-term focus on the lower support of 3025-3010, friends must keep up with the rhythm. To control the position, the specific points are mainly based on the real-time intraday. If you are interested, please follow us. Welcome to experience, exchange real-time market conditions, and pay attention to real-time orders. You can read bottom signals, interpret daily market trends, and share real-time strategies. Don't follow the trend blindly.
TA Nvidia demonstrated strong growth throughout 2024. However, this year, it has shown rather a poor performance. When an uptrend started to weaken, it gave off subtle signals before a full reversal happened on the horizon. One of the first clues is that the highs collectively begin to appear curved compared with initial rough growth. This reflects the loss of aggressive bullish intent, showing hesitation and vulnerability to a reversal. https://www.tradingview.com/x/60ol1d9L/ The price still makes higher highs, but the incremental gain between each peak shrinks. This declining magnitude in price advancement suggests that buyers are gradually losing strength with each move. These shallow bullish waves often get sold into quickly, showing early distribution behavior. Simultaneously, it takes longer time for price to reach each successive high . When higher highs occur at reduced frequency, the rally phases become stretched out. This indicates buyers are struggling, and sellers are gaining time-based control. Extended Rounding Top Pattern Price crosses above the rounding top Indicates a failed reversal and potential bullish breakout. Suggests renewed buying strength and possible trend continuation. I'd recommend using confirmation tools like volume spikes and momentum indicators which are essential to validate the breakout. Price reaches the rounding top and stalls or reverses Confirms the bearish reversal signal of the pattern. Acts as a strong resistance zone, often leading to a downtrend. Alongside with fibs, it can be used as a cue to take profits, exit long trades, or enter short positions. https://www.tradingview.com/x/yNvDQjk7/ FUNDAMENTALS Catalysts of Bearish Swings A transition phase characterized by a series of sharp bearish swings, marked by a sequence of Lower Highs and Lower Lows, shaping a well-defined downward channel. https://www.tradingview.com/x/MKIEFuNs/ Drop #1: ATH → Higher Low (Early January 2025) After Nvidia’s euphoric 2024 AI hype rally, it was a matter of time as some institutional Investors locked in profits, causing initial drop. Valuation metrics (P/E; P/S) reached extremes creating grounds for a correction. The Fed’s January meeting hinted at fewer rate cuts than the market expected. Rising Treasury yields pressured tech stocks. The U.S. government has imposed strict export controls on advanced semiconductors, AI chips and related technology to China. Drop #2: Lower High → Lower Low (Late January to February 2025) While Nvidia beat Q4 earnings expectations, its forward guidance disappointed. Management cited softening data center orders and consumer GPU inventory corrections. Concerns about potential erosion in gross margins due to increasing costs and competitive pricing pressure from AMD and Intel. AI infrastructure spending was plateauing faster than expected, leading to re-ratings across the sector. Drop #3: Second Lower High → Second Lower Low (Mid to Late February through Early March 2025) Several investment banks downgraded semiconductor stocks, including Nvidia, amid fears of a cyclical slowdown and oversupply risks in H2 2025. In early March, broader indices dropped due to hot inflation prints in February. Fed’s stance during testimony to Congress indicated a higher interest rate outlook. Reports emerged about delays in next-gen chip production due to yield issues at TSMC and logistics constraints, fueling investor anxiety. Renewed export control tightening and U.S.-China friction were again cited as major concerns earlier this year. These concerns were part of the bearish narrative during Nvidia’s downward structure, especially during Drop #1 and Drop #2 where investors began pricing in geopolitical and regulatory headwinds. Events & Economic catalysts to monitor (before buying heavy): Nvidia Earnings Q1 2025 Mid to Late May 2025 Why it matters: Forward guidance, Data Center/AI segment growth, margin updates, and China sales commentary will heavily impact sentiment and trend direction. U.S. CPI (Inflation) Reports April 10, 2025 (March CPI) Remember: Hot inflation = higher rate expectations → tech sector sell-off. Watch for YoY core CPI trends. U.S. Jobs Report (NFP) April 4, 2025 Keep in mind: Strong labor = sticky inflation = Fed hawkishness → higher discount rates on growth stocks. Semiconductor Industry Conferences ・NVIDIA GTC (GPU Technology Conference) – usually held Spring or Fall ・Semicon West 2025 – typically July Track the progress: Product launches, AI roadmaps, new partnerships, and forward tech strategy updates often revealed.
Market wide we are seeing massive dips on big names - and obviously the same here for LULU. I am posting this updated analysis while on vacation (apologies for the bad sound and mouse work as I am working on the fly) because I know many are following my analysis on this name and I'd love for everyone to keep an eye on the macro point of view which is always important when we're in a choppy and especially a bearish macro market. Levels I identified here are all aiming toward us reaching for that $270 demand zone which would ideally bring us some much needed buying momentum heading into earnings. I would not be surprised if we dip there even with a good earnings report considering market-wide we're seeing bearish pressure and people are waiting for opportunities at lower levels to start building a stronger position in companies like LULU. Happy Trading all :)
A Quintillion Reasons to Invest: SMCI and NVIDIA Propel Walmart and Global Industries to Trillions March 20, 2025 In the realm of investing, capital allocation reigns supreme—a disciplined endeavor to direct resources toward opportunities that maximize returns while minimizing systemic risk. In today’s data-driven global economy, Supermicro (SMCI) and NVIDIA (NVDA) have emerged as the vanguard of computational supremacy, delivering a transformative edge through their latest technological innovations. Their GB300 NVL72 systems, paired with NVIDIA’s Blackwell Ultra GPUs, harness the power of N^18 computation—one quintillion operations per second—a feat unattainable just one week prior. This seismic shift, a $10 billion investment in hardware, redefines what industries can achieve, unlocking trillion-dollar opportunities across sectors and geographies. Consider Walmart as a case study in this revolution. By deploying $500 million in SMCI and NVIDIA technology, Walmart can predict consumption patterns with unparalleled precision. Imagine a 15% spike in grill sales when temperatures reach 75°F—Walmart, armed with this foresight, negotiates industrial capacity at 20% lower rates, widens profit margins by 3 percentage points, and captures an additional $2.5 billion in annual profits. This predictive power allows Walmart to secure aluminum futures at $2,500 per ton during a 90°F heatwave, producing 10 million soda cans preemptively and seizing $50 million in sales before competitors can react. Without this technological edge, Walmart would be left scrambling, ceding market share to rivals who act faster. The numbers are stark: a modest $500 million investment yields billions in returns, a testament to the power of computational foresight. This advantage scales globally with staggering implications. If 50,000 retailers worldwide adopt this $25 billion technology, each could realize $50 million in annual profit gains, culminating in an aggregate of $2.5 trillion. Supply chains across the globe arbitrage this predictive capability, turning data into cash. For instance, anticipating a surge in yoga gear demand post-New Year’s, retailers can flood warehouses ahead of time, capturing market share and boosting margins while competitors lag. This isn’t mere speculation; it’s a calculated strategy rooted in the unprecedented computational might of SMCI and NVIDIA. Without their systems, industries remain tethered to petascale limitations—10^15 operations per second—incapable of processing the trillion-parameter models that modern AI demands. Legacy systems falter, unable to match the data velocity and volume required for market dominance. The implications of N^18 computation extend far beyond retail, shattering barriers that confined industries just days ago. A week prior, trillion-parameter models overwhelmed even the most robust systems, stalling at petascale thresholds and requiring weeks to process. Now, SMCI and NVIDIA’s N^18 capacity completes these tasks in hours, delivering real-time insights that redefine operational efficiency. Financial institutions, for example, can now model quadrillion-variable risk scenarios, identifying potential missteps and saving $1 billion annually in losses. Governments leverage this power to optimize traffic grids across 1,000 cities, reducing commute times by 15% and saving $500 million in fuel costs each year. These feats were pipe dreams last week, as systems buckled under the sheer deluge of data. Today, they are reality, driven by the $10 billion hardware investment in SMCI and NVIDIA technology—a catalyst for trillion-dollar value creation. This computational revolution is not a race of abstract metaphors but a winner-takes-all contest defining our era. SMCI and NVIDIA are the architects of this new paradigm, their synergy transcending mere assembly. NVIDIA’s Blackwell Ultra GPUs, wielding quintillions of calculations per second, provide the raw horsepower, while SMCI’s advanced server and rack architecture integrates this power into a cohesive, exascale-capable system. Together, they form a technical triumph, enabling industries to surpass petascale bottlenecks and pioneer an AI-driven future. Their partnership is the backbone of progress, from autonomous vehicle fleets to real-time financial forecasting. For instance, Visa can now mine trillions of transactions to predict a surge in energy drink purchases by teens at 80°F, dispatching timely incentives and steering commerce, while preemptively optimizing supply chains for the next demand wave. Legacy systems, noting only “coffee on Mondays,” cannot compete with this granularity. The stakes are unequivocal: align with SMCI and NVIDIA, or risk irrelevance. Shorting these titans is folly—only the boldest speculators dare, and history shows their fate: capitulation, fueling monumental returns for those who invest wisely. The numbers speak volumes: a $10 billion investment in SMCI and NVIDIA hardware unlocks trillions in value, from supply chain foresight to policy efficiency. This advantage permeates every sector—logistics and operations management globally reap billions in savings, while governments enhance efficiency, saving billions in public expenditure. The first movers triumph, as seen in the financial sector: should Visa adopt this technology before Amex, Amex becomes the short, Visa the long, and vice versa. This dynamic extends beyond retail and finance, touching all competing interests solving equations with exponentially more variables. Investors, the directive is clear: capital must flow to those addressing existential needs. SMCI and NVIDIA are not optional; they are the drivetrain of a scalable tomorrow. Their combined infrastructure, with 72 Blackwell GPUs, 36 Grace CPUs, and NVLink precision, forms a singular intellect in a liquid-cooled rack, eclipsing petascale relics that once drained power across vast footprints. This technology pioneers AI’s frontier—self-driving cars, adaptive robotics, even self-authored films—unlocking trillion-dollar prospects. Allocate resources to this power, or watch others claim the windfall. Capital allocation demands no less.