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NVDA SELLIf you have not SELL NVDA, than be prepare to SELL NVDA riding it back down to 93.00 to 77.00 as Profit Targets, Stop Loss will be determine later! If anyone likes long mumbo jumbo garbage analysis, than this is NOT for you. Also, if you are afraid of risk, failure, and want only a 100% sure thing, than run as fast as you can from the market, because the market is NOT a sure thing, so it is definitely NOT for you. WARNING: This is just opinions of the market and its only for journaling purpose. This information and any publication here are NOT meant to be, and do NOT constitute, financial, investment, trading, or other types of advice or recommendations. Trading any market instrument is a RISKY business, so do your own due diligence, and trade at your own risk. You can loose all of your money and much more.
NASDAQ:NVDAShort
by pstock123
NVDA at a Make-or-Break Zone – Can Bulls Push Back on Oct. 6? Market Overview (15-Min Chart)
 NVIDIA continues to trade inside a well-defined downward channel, showing controlled selling pressure throughout last week. Each bounce attempt has been capped near the descending resistance line, currently near $188.80–$189, while support sits around $185.30–$186. The MACD histogram has started to turn lighter red, with a potential bullish crossover forming beneath zero — an early sign of waning bearish momentum. Meanwhile, the Stochastic RSI has rebounded sharply from oversold levels and is now moving toward the upper band, indicating possible short-term upside before overbought exhaustion. If NVDA can break above $188.50–$189, it could trigger a short-term shift from compression to expansion. However, if it rejects once more, the next retest of $185 could accelerate selling momentum. GEX Validation (1H Chart Insight)
 Gamma Exposure (GEX) levels on the 1-hour chart confirm a clear neutral-to-bullish setup if NVDA maintains above $185. The highest positive NET GEX / Call Wall aligns around $192.5–$195, suggesting strong dealer resistance in that region. A sustained breakout above $190 could ignite a push toward those upper zones if option flows turn supportive. On the downside, Put support levels are clustered between $174–$180, forming a strong hedge-based demand area. The IVR of 9.8 and IVX avg 42.1 indicate a calm volatility environment, leaving room for expansion once direction confirms. Interestingly, Calls only account for 8.6% of flow — a potential contrarian signal if short-term momentum strengthens. Trade Scenarios for the Week (Oct. 6–11) Bullish Case:
If NVDA breaks and holds above $189, momentum could accelerate toward $191 (minor resistance) and potentially $195, where the next Call Wall sits. * Entry: Above 189 confirmation * Target 1: 191 * Target 2: 195 * Stop-Loss: Below 186 Bearish Case:
Failure to reclaim $189 and a breakdown below $185 could drag NVDA toward $182.50 or even $180, testing the lower bound of the Put Wall zone. * Entry: Below 185 * Target 1: 182.5 * Target 2: 180 * Stop-Loss: Above 188 Option Insights
With gamma tightly balanced near current price, NVDA may be entering a coil phase before a directional break. Traders may look for short-term call spreads near 190–195 for upside confirmation, or put spreads near 185–180 if weakness resumes. The low IVR favors directional debit plays early in the week. My Thoughts
 This setup feels like a tug-of-war between dip buyers and short-term momentum sellers. NVDA’s structure suggests compression nearing resolution — the first clean break outside this falling channel will set the tone for the week. If buyers can clear $189 with conviction, the path to $192–195 opens quickly. If not, the bears will likely reassert pressure back toward $182. The MACD and Stoch RSI alignment suggest a short-term bounce first, but the broader trend remains fragile until the channel is broken decisively. Disclaimer:
This analysis is for educational purposes only and does not constitute financial advice. Always perform your own due diligence and manage your risk responsibly before trading.
NASDAQ:NVDA
by BullBearInsights
NVIDIA What happens when it retests a Resistance after a break?NVIDIA Corporation (NVDA) has been on a strong rise since the mid-term September 05 Low and this week finally broke above its previous $184 High. During the current Bull Cycle (since the October 2022 bottom), every time the price broke above a previous High and re-tested it as a Support, it started a secondary rally to new Highs. Technically, as long as the 1D MA100 (green trend-line) holds, we should see at least a 1.382 Fibonacci extension test, similar to the February 2023 and June 2024 Highs. As a result, once the current former High / Resistance level finishes getting re-tested, we expect an end-of-the-year rally to $240. Additionally, we will keep an eye on the 1W RSI. Typically, once it gets massively overbought above 85.00 and then starts to decline within an Arc peak formation, the time to Sell is after the middle of that Arc. ------------------------------------------------------------------------------- ** Please LIKE 👍, FOLLOW ✅, SHARE 🙌 and COMMENT ✍ if you enjoy this idea! Also share your ideas and charts in the comments section below! This is best way to keep it relevant, support us, keep the content here free and allow the idea to reach as many people as possible. ** ------------------------------------------------------------------------------- 💸💸💸💸💸💸 👇 👇 👇 👇 👇 👇
NASDAQ:NVDALong
by TradingShot
7
TA Never Fails, But Traders Often Do Why Technical Analysis Doesn’t Fail, and How to Make It Work for You Has it ever happened to you that your system or technical analysis gives you the perfect signal… and the trade still goes wrong? And then, other times, with the exact same pattern, everything clicks magically and you end up with textbook profits, the kind proudly posted on social media. Every trader has felt that same confusion at some point. At some stage in their career, every trader has questioned whether technical analysis really works. And if that question still lingers unanswered in your mind, this post is for you. Here, I’ll walk you through why technical analysis sometimes seems to work like magic and other times fails miserably, and, more importantly, how understanding its true role can turn it into a tool that meaningfully strengthens your trading Understanding the Real Role and Reach of Technical Analysis At its core, technical analysis (TA) studies past price and volume behavior. But here’s the key point many overlook: expecting it to predict the future with certainty is like assuming that because something happened under certain conditions once, it will play out exactly the same way again. That’s rarely true. When you rely on a chart pattern or setup, what you’re really hoping for is that the market environment hasn’t changed much. But markets don’t stay still. They are dynamic, adaptive, and constantly shifting. That’s why sometimes the “perfect” signal delivers textbook profits… and other times it collapses into a loss. I’m sure you can relate: you spot the perfect setup, take the trade with full confidence, everything looks aligned, and then Powell makes a comment, volatility spikes, and your stop is hit in seconds. Did technical analysis fail? Not really. The conditions changed, and the past environment could not be reproduced. From this perspective, TA stops being a deterministic tool (“if price breaks support, the market will fall”) and becomes a probabilistic one (“if price breaks support, there’s a certain probability the market will fall”). This isn’t a weakness, it’s an honest recognition of the uncertainty that governs financial markets and their ever changing nature. When we strip away the myths and put technical analysis in its rightful place, it becomes clear: at best, TA allows us to frame probabilities, never certainties. It’s not a crystal ball, it’s a framework for making informed probabilistic assessments in a world that will always remain uncertain. Where the True Power of TA Really Lies Take the classic example: “if price breaks support, the market has a higher probability of falling than of rising.” That statement doesn’t promise certainty, but if it turns out that, say, 60% of the time the market does fall after breaking support, then you’ve uncovered something valuable: an edge. And here’s where trading shifts from chasing luck to building consistency. If out of every 10 trades, 6 follow through in your favor, then all you really need is solid risk management, for example, keeping a minimum 1:1 risk to reward ratio. Do that, and over the long run you don’t just “sometimes win,” you run a system with a positive expectancy. Once you’ve found that edge, the real trick is repetition. And this isn’t just motivational talk, it’s math. Statistics has a law (and in science, a law means tested truth) that guarantees the more you repeat your process, the closer your actual results will move toward that expected 60/40 edge. With discipline and patience, the math will always pull you back toward being a long term winner. This also means you don’t second guess yourself the next time the market breaks support just because the last time it didn’t work out (thanks, Powell). You keep playing your probabilistic edge. The outcome of a single trade is irrelevant, what matters is the process repeated over time. I wrote about this earlier, and it’s worth remembering: consistency in applying your edge always beats obsessing over one result. TA as a Compass, Not a Crystal Ball The smartest and most effective use of technical analysis is not to predict exact prices, but to build a probabilistic edge. TA only becomes truly powerful when it’s integrated into a system with positive expectancy, not when it’s treated like an oracle. It’s not about guessing where the next tick will land, but about shaping a repeatable process that, over time, compounds into long term gains. Seen in this light, TA stops being a magic wand and instead becomes a compass, a steady guide to help you navigate with consistency. You don’t need to know the exact shape of every curve in the road. What you need is a reliable compass and a clear map that, with enough repetition, will get you to your destination. How to Make TA Not Fail You The key takeaway is simple: the problem isn’t that technical analysis “fails,” but how we interpret it and what we expect from it. Demanding certainty only leads to frustration and blinds us to its real value. Used probabilistically and as part of a structured system, TA becomes a valuable ally. So the next time that ‘perfect setup’ fails, don’t waste energy asking what went wrong. You already know, it’s just uncertainty doing its job. Don’t let it shake your confidence, and don’t let Powell, or anything else, ruin your day. Instead, focus on the next repetition, because that’s where your edge truly lives. The market doesn’t owe you certainty. But with an edge and discipline, probability will reward you with consistency, and that’s what compounds into real results ________ 👉 If you’d like to dig deeper into this mindset shift, check out my earlier post on True Laser Vision, where I explain why projecting the value of your account is infinitely more powerful than trying to project the price of an asset. And if you’d like a more structured walk through these ideas, visit my profile, you’ll find plenty of posts where I break down how probability, expectancy, and discipline can catapult your trading to the next level. Follow along if you want to keep sharpening these skills
NASDAQ:NVDAEducation
by CF_444
NVDA Holding the Line – Gamma Magnet at $190 for Oct 3 Intraday Technical Outlook (15m Chart) NVIDIA (NVDA) closed near $188.97, stabilizing after an intraday fade from the $191 zone. On the 15-minute chart, price action shows consolidation with buyers trying to defend key support: * MACD: Flattening and curling back toward neutral, signaling momentum could flip positive if buyers step in early tomorrow. * Stoch RSI: Pushed back into overbought levels, showing near-term buying strength but also risk of quick pullbacks. * Key Levels: Support rests at $188–187.2, with stronger downside protection near $185. Resistance is set at $191–192, the prior high and channel top. Intraday takeaway: NVDA is range-bound between $187 and $191. A breakout above $191 can accelerate toward $193–195, while a failure to hold $187.2 risks a slide back toward $185. Options Sentiment & GEX Outlook (1H Chart) The 1-hour GEX setup highlights a tight battle around current levels: * Gamma Walls: * $191–192.5: Strongest positive GEX / call wall cluster — key resistance zone. * $187.5–185: Gamma pivot and support levels where buyers may defend. * $180 / $175: Put wall supports if selling pressure intensifies. * Implications: * Sustaining above $188.5–189 keeps NVDA magnetized toward the $191–192.5 call wall. * If $187.2 fails, dealer flows may drive price toward $185 and potentially $180. * Volatility Context: IVR sits at 10.1 (very low), meaning options are cheap relative to history. This makes directional call/put buys attractive — but also means sellers risk getting trapped if momentum surges. My Thoughts & Recommendation For Oct 3 trading, NVDA sits at a gamma pivot with a tight setup: * Intraday (scalping/trading): Longs favored above $188.5, targeting $191–192.5. Quick rejection at $191 can be shorted back to $187.2–185. * Options trading (swing/0DTE): Calls make sense only above $189–190 for a breakout chase toward $193–195. If NVDA fails at $191 and dips below $187.2, puts targeting $185–180 have cleaner risk/reward. Bias heading into Oct 3: Neutral-to-bullish, but watch $191 as the breakout test. Disclaimer:
This analysis is for educational purposes only and does not constitute financial advice. Always do your own research and manage risk before trading.
NASDAQ:NVDA
by BullBearInsights
NVIDIA - Stalking NVDA with a short trade in mind🔱 Second approach to crack the U-MLH 🔱 No matter how irrational markets get, sooner or later the Black Bird strikes them down. We’re back at the U-MLH where price is stretched. Could it trade through it? Absolutely. Even better would be if price trades above the U-MLH and then falls back into the fork — that would be a strong confirming short signal. But a turn right at the U-MLH would also be a heads-up for me. 👉 Stalking NVDA with a short trade in mind.
NASDAQ:NVDAShort
by HowToChart
3
Introduction to Time Zone Arbitrage in Global Markets1. Understanding Arbitrage in Financial Markets At its core, arbitrage is the practice of exploiting price discrepancies of the same asset across different markets or forms to earn risk-free profit. This fundamental concept underpins much of modern financial trading. In theory, if a stock, currency, commodity, or derivative is priced differently in two markets, a trader can simultaneously buy low in one market and sell high in another, pocketing the difference. Traditional arbitrage opportunities are rare and fleeting, especially in highly liquid and technologically advanced markets. With the advent of electronic trading, algorithmic strategies, and high-frequency trading, the speed at which these discrepancies are corrected has accelerated dramatically. Time zone arbitrage emerges as a special form of arbitrage, where the temporal differences between markets become the primary source of exploitable inefficiencies. The financial world is never closed: while one market sleeps, another operates, creating windows for traders to capitalize on lagging price reactions. 2. Global Markets and Time Zones Financial markets operate within strict local hours. For example: New York Stock Exchange (NYSE): 9:30 AM – 4:00 PM EST London Stock Exchange (LSE): 8:00 AM – 4:30 PM GMT Tokyo Stock Exchange (TSE): 9:00 AM – 3:00 PM JST These schedules create overlapping periods—for instance, NYSE and LSE overlap between 8:00 AM and 11:30 AM EST—where liquidity and volatility peak. However, outside these overlaps, markets function independently, and information from one market may not immediately influence another due to operational hours. Time zone arbitrage exploits these gaps. For instance, significant economic data released in the U.S. after the Asian markets close can create arbitrage opportunities for traders when Asian markets reopen the next day. Essentially, traders are leveraging information delays caused by non-synchronous trading hours. 3. Mechanisms of Time Zone Arbitrage Time zone arbitrage typically involves three major mechanisms: Price Discrepancy Exploitation: When an asset trades in multiple markets, its price may diverge temporarily due to the staggered opening hours. For example, a stock listed on both NYSE and LSE might react to corporate news at different times. A trader can buy in the lagging market and sell in the one where the news impact has already been reflected. Currency Movements: Forex markets operate 24/5, but liquidity and volatility vary by time zone. Economic announcements from one country may cause currency pairs to move in one region before others react. Traders who monitor these shifts can execute trades across regions to capture price differences. Futures and Derivatives Arbitrage: Futures and derivatives tied to underlying assets in different time zones can experience lagged reactions. For example, S&P 500 futures traded in Singapore may temporarily misprice relative to the U.S. cash market during Asian hours. Arbitrageurs can exploit these short-term inefficiencies. 4. Drivers of Time Zone Arbitrage Opportunities Several factors contribute to the emergence of time zone arbitrage opportunities: Information Asymmetry: Not all markets receive or process information simultaneously. Corporate earnings announcements, economic data releases, or geopolitical events may affect markets differently depending on their opening hours. Liquidity Gaps: Markets in non-overlapping time zones may have lower trading volumes, causing temporary price inefficiencies. These liquidity gaps are prime targets for arbitrage strategies. Currency and Macro-Economic Events: Global macroeconomic releases—like U.S. Non-Farm Payrolls or European Central Bank announcements—impact multiple markets. Since these announcements occur during specific time zones, traders in other regions may act ahead of local market participants. Technological Differences: Not all markets are equally automated. While developed markets adjust quickly due to algorithmic trading, emerging markets may show delayed price reactions, enhancing arbitrage potential. 5. Examples of Time Zone Arbitrage 5.1 Forex Market A classic example is the USD/JPY pair. Suppose a major U.S. economic report releases at 8:30 AM EST. Tokyo traders may not react until the TSE opens at 9:00 AM JST, creating a brief window where the currency pair’s price is misaligned with the news. Arbitrageurs can profit by executing trades between London, Tokyo, and New York markets. 5.2 Stock Market Cross-Listings Many multinational companies list their shares in multiple exchanges. For example, HSBC trades in London, Hong Kong, and New York. If news affects the Hong Kong market during its daytime, traders can exploit the lag in New York’s reaction to the same news due to time differences. 5.3 Commodities Futures Consider crude oil futures, which trade in both the CME in the U.S. and the Intercontinental Exchange (ICE) in London. A geopolitical event affecting oil supply may influence ICE prices during European hours, but CME futures may take time to adjust until New York opens, offering arbitrage potential. 6. Tools and Techniques Modern time zone arbitrage relies heavily on technology. Key tools include: Algorithmic Trading Systems: These monitor multiple markets simultaneously, identify mispricings, and execute trades in milliseconds. High-Frequency Trading (HFT): Leveraging microsecond speed, HFT firms can capitalize on arbitrage opportunities across time zones before others detect them. Data Feeds and News Analytics: Real-time economic and corporate news feeds, combined with AI-powered sentiment analysis, allow traders to anticipate cross-market price movements. Cross-Market Surveillance: Continuous monitoring of correlated instruments across regions ensures timely identification of exploitable discrepancies. 7. Risks and Constraints While time zone arbitrage is theoretically low-risk, several practical challenges exist: Execution Risk: Delays in order execution can turn profitable trades into losses. Transaction Costs: Spreads, commissions, and fees may erode arbitrage profits, especially in lower-liquidity markets. Market Volatility: Unexpected price swings due to global events may render arbitrage positions unprofitable. Regulatory Barriers: Some jurisdictions impose restrictions on cross-border trading, capital flows, or short-selling, limiting arbitrage potential. Technological Risks: Reliance on connectivity, data feeds, and trading algorithms exposes traders to system failures or cyber risks. 8. Strategies for Time Zone Arbitrage Successful traders use a mix of strategies: Cross-Exchange Arbitrage: Exploiting price differences for the same security on multiple exchanges. Statistical Arbitrage: Using historical correlations and statistical models to predict and trade mispricings. Latency Arbitrage: Capitalizing on delays in data transmission between markets. Macro-Event Arbitrage: Reacting to economic, political, or corporate events affecting global markets asynchronously. 9. Market Participants Time zone arbitrage is primarily the domain of: Institutional Traders: Hedge funds and proprietary trading desks dominate this space due to the scale and technology required. High-Frequency Traders: Specialize in exploiting microsecond-level price discrepancies. Global Asset Managers: Engage in cross-market hedging and arbitrage as part of portfolio optimization. Retail Traders: Increasingly accessing time zone arbitrage opportunities through online platforms and ETFs, though on a smaller scale. 10. Broader Implications for Global Markets Time zone arbitrage plays a vital role in market efficiency: Price Discovery: Arbitrage helps synchronize prices across markets, improving transparency. Liquidity Distribution: Facilitates smoother capital flows between regions. Integration of Emerging Markets: Encourages alignment with global market trends. Technological Advancements: Drives innovation in trading systems, data analytics, and risk management. However, it can also introduce systemic risks. Over-reliance on algorithms or HFT in multiple time zones may amplify volatility during unexpected events, as seen in global “flash crashes.” 11. The Future of Time Zone Arbitrage The evolution of global markets suggests that time zone arbitrage will continue to grow in complexity: 24/7 Markets: Cryptocurrency and digital asset markets operate round-the-clock, reducing traditional time gaps but creating new cross-exchange arbitrage opportunities. AI and Machine Learning: Predictive models can detect emerging arbitrage opportunities faster than human traders. Global Market Integration: As emerging markets align with major exchanges, arbitrage windows may shrink, but sophisticated strategies will continue to exploit subtler inefficiencies. Regulatory Evolution: Harmonization of cross-border trading rules may reduce some arbitrage opportunities but also create standardized pathways for institutional strategies. 12. Conclusion Time zone arbitrage is a sophisticated yet fundamental aspect of modern financial markets. By leveraging temporal gaps between global markets, traders can exploit price inefficiencies for profit. Its successful execution requires advanced technology, rapid decision-making, deep market knowledge, and careful risk management. While it enhances market efficiency and integration, it also introduces challenges related to volatility, regulation, and technological dependency. As markets evolve—especially with the rise of 24/7 digital trading—time zone arbitrage will remain a critical area for institutional traders, high-frequency operations, and innovative investment strategies. Ultimately, time zone arbitrage highlights the interconnectedness of global finance, demonstrating that even a world divided by hours can be united by the continuous pursuit of opportunity.
NASDAQ:NVDAEducation
by GlobalWolfStreet
NVDA 5 trln USD market cap up next? Key fundamentals and upside.Is $5T reasonable for NVDA? • Mechanically, yes: The market only needs ~10% near-term appreciation from today’s levels to print $5T. That’s within one strong quarter or a guidance beat. • Fundamentally, the math works if (a) FY26–27 revenue tracks the guide/Street trajectory (TTM already $165B with Q3 guide $54B), (b) non-GAAP GMs hover low-to-mid-70s, and (c) opex discipline holds. Under those, forward EPS path supports ~35× at $5T, a premium but not outlandish for a category-defining compute platform. • Free-cash optionality: With ~$48B net cash and massive FCF, NVDA can keep funding buybacks (already $60B fresh authorization) and capacity, smoothing cycles. ________________________________________ • Stock price at $5T market cap: ≈ $205.8 per share (on ~24.3B shares). • Gain needed from $186.6: +$19.2 (~+10.3%). The quick math (market cap ⇒ price) • Shares outstanding (basic): ~24.3 B (as of Aug 22, 2025, per 10-Q). • Stock @ $5T market cap: $5,000,000,000,000 ÷ 24.3B ≈ $205.8/share. • From today’s price $186.6: needs +$19.2 or ~+10.3%. That also implies P/E (TTM) at $5T of roughly ~56× (using TTM EPS ~3.68). Today’s trailing P/E is ~50–53× depending on feed. ________________________________________ Core fundamentals snapshot 🧩 Latest quarter (Q2 FY26, reported Aug 27, 2025) • Revenue: $46.7B (+56% y/y; +6% q/q). • Data Center revenue: $41.1B (+56% y/y). • GAAP gross margin: 72.4%; non-GAAP 72.7%; Q3 guide ~73.3–73.5%. • GAAP EPS: $1.08 (non-GAAP: $1.05; excl. $180M inventory release: $1.04). TTM scale & profitability • Revenue (TTM): ~$165.2B. • Net income (TTM): ~$86.6B. • Diluted EPS (TTM): ~$3.5–3.7. • Cash & marketable securities: $56.8B; debt: ~$8.5–10.6B ⇒ net cash ≈ $48B. Capital returns • $24.3B returned in 1H FY26; new $60B buyback authorization (no expiration). Remaining buyback capacity ~$71B as of Aug 26. ________________________________________ Valuation read (today vs. $5T) Using widely watched metrics: • P/E (TTM): ~50–53× today; at $5T it rises to ~56× (assuming flat TTM EPS). • Forward P/E: Street FY27 EPS ≈ $5.91 → ~31–33× today; ~35× at $5T — still below many AI hyper-growth narratives that trade at 40–50× forward when growth visibility is high. • EV/EBITDA (TTM): EV ≈ market cap – net cash. Today EV ~$4.45T; EBITDA TTM ≈ $98–103B ⇒ EV/EBITDA ~43–45×; at $5T EV/EBITDA drifts to ~48–50×. • P/S (TTM): ~27× today (at $4.5T) and ~30× at $5T on $165.2B TTM revenue. • FCF yield: TTM FCF range $60.9–72.0B ⇒ ~1.35–1.60% today; ~1.22–1.44% at $5T. Takeaway: $5T doesn’t require a heroic repricing — it’s ~10% above spot and implies ~35× forward earnings if consensus holds. That’s rich vs. the S&P (~22.5× forward) but arguably reasonable given NVDA’s growth, margins, and quasi-platform status in AI compute. ________________________________________ What must be true to justify $5T (and beyond) ✅ 1. AI capex “supercycle” persists/expands. Citi now models $490B hyperscaler AI capex in 2026 (up from $420B) and trillions through 2029–30. A sustained 40–50% NVDA wallet share across compute+networking underwrites revenue momentum and margin sustainment. 2. Annual product cadence holds. Blackwell today → Rubin in 2026 with higher power & bandwidth, widening the perf gap vs. AMD MI450 — supports pricing power and mix. 3. Margins stay “mid-70s” non-GAAP. Company guides ~73.3–73.5% near term; sustaining 70%+ through transitions offsets any unit price compression. 4. Networking, software & systems scale. NVLink/Spectrum, NVL systems and CUDA/Enterprise subscriptions deepen the moat and smooth cyclicality; attach expands TAM (improves EV/EBITDA vs. pure-GPU lens). 5. China/export workarounds do not derail mix. Q2 had no H20 China sales; guidance and commentary frame this as manageable with non-China demand and limited H20 redirection. ________________________________________ A contrarian check (where the model could break) 🧨 • Power & grid bottlenecks. Even bulls (Citi) note AI buildouts imply tens of GW of incremental power; slippage in datacenter electrification can defer GPU racks, elongating deployments (and revenue recognition). • Debt-funded AI spend. Rising share of AI DC capex is being levered (Oracle’s $18B bonds; neoclouds borrowing against NVDA GPUs). If credit windows tighten, orders could wobble. • Customer consolidation & vertical ASICs. Hyperscalers iterating custom silicon could cap NVDA’s mix/price in some workloads; edge inference may fragment. • China policy volatility. Export rules already forced product pivots; rebounds are uncertain and not fully in NVDA’s control. • Multiple risk. At ~50× TTM and >40× EV/EBITDA, any growth decel (unit or pricing) can de-rate the multiple faster than earnings make up the gap. Bottom line of the bear case: If AI capex normalizes faster (say +10–15% CAGR instead of +25–35%), forward EPS still grows, but the stock would likely need multiple compression (toward ~25–30× forward), making $5T less sticky near-term. ________________________________________ Street positioning (latest bullish calls) 📣 • KeyBanc: $250 (Overweight) — Rubin cycle deepens moat → ~+34% implied upside. • Barclays: $240 (Overweight) — AI infra wave; higher multiple to 35×. ~+29% upside. • Bank of America: $235 (Buy). ~+26% upside. • Bernstein: $225 (Outperform). ~+21% upside. • Citi: $210 (Buy) — reiterates annual cadence & rising AI capex. • Morgan Stanley: $206–210 (Overweight). ~+11–13% upside; 33× CY25 EPS framework. • Consensus: Avg 12-mo PT ~$211, ~+13% from here. ________________________________________ ________________________________________ Extra color you can trade on 🎯 • Where bulls may be too conservative: o Networking/NVLink attach could outgrow GPUs as Blackwell/Rubin systems standardize on NVIDIA fabric, defending blended margins longer. o Software monetization (CUDA ecosystem, NIMs, enterprise inference toolchains) is still under-modeled in many sell-side DCFs. • Where bulls may be too aggressive: o China rebound timing & magnitude. o Power/real-estate constraints delaying deployments into 2026. o Credit-driven AI capex — watch for any signs of tightening in private credit / neocloud financing that uses GPUs as collateral. ________________________________________ ________________________________________ Sources: NVIDIA IR & 10-Q; Yahoo Finance stats; StockAnalysis (TTM financials); company Q2 FY26 press release and CFO commentary; recent analyst notes from KeyBanc, Citi, Barclays, BofA, Morgan Stanley; financial media coverage (WSJ/FT).
NASDAQ:NVDALong
by ProjectSyndicate
45
NVDA Oct. 1 – Knocking on the Door of a Breakout! Intraday View (15-Min Chart) NVDA ripped higher early but is consolidating around $186 into the close. Price is riding the intraday trendline, though momentum is fading. * Support Levels: $185.00, $181.85, $180.56 * Resistance Levels: $186.75, $187.33, $188.00 * Indicators: MACD is losing steam with red bars extending. Stoch RSI is buried at lows, showing possible oversold conditions. 📌 Intraday Thought (Oct. 1): If $185 holds, NVDA could bounce back toward $187–$188. A break below $185 risks a flush to $182 and possibly $181.5. Scalpers can lean long on $185 support with tight risk, or fade near $187.5 if momentum stalls. Options & Swing View (1H + GEX) Gamma positioning shows a clear setup: * Call walls: Big resistance at $187.5–$190, with stacked GEX above. * Put support: Clustered near $175–$170, with a hard floor around $170. This implies NVDA is pinned between $185–$190 short term. A confirmed break over $187.5 opens upside momentum toward $190–$195, while losing $185 risks a retrace back to $182 → $175 zone. * Bullish Play (Oct. 1): Calls or debit spreads targeting $190–$195 if $187.5 breaks on volume. * Bearish Hedge: Short puts toward $182 → $175 if $185 fails. * Neutral Play: Iron condor between $175–$190 for premium capture while NVDA consolidates. My Thoughts (Oct. 1) NVDA is pressing right into a breakout zone. The tape favors bulls as long as $185 holds, but momentum is clearly cooling on intraday charts. I’d treat $187.5 as the trigger line: over it, we could squeeze to $190+ quickly. Below $185, downside opens fast toward $182. Flexibility is key here—trade the levels, not the noise. Disclaimer: This analysis is for educational purposes only and does not constitute financial advice. Always do your own research and manage risk before trading.
NASDAQ:NVDA
by BullBearInsights
1
NVDA Ready for Takeoff: $200 Target in Sight! Based on the daily chart of NVIDIA (NVDA) on NASDAQ, here’s a breakdown: 🔎 Technical Analysis Overall Trend The stock is in a strong uptrend (rallying from around $120 to the current $186). Higher lows are forming, and price is pressing against the 185–187 resistance zone, showing strong buying pressure. Key Resistance 185–187 USD is a critical resistance zone tested multiple times. Given the strong daily candle and volume, the probability of a breakout is high. Short-Term Support Uptrend line provides support around 176–178 USD. Next key support sits near 170 USD. 🎯 Short-Term Outlook (1–4 Weeks) Entry Trigger: After a confirmed breakout above $187 Target 1: $195 Target 2: $200 Stop-Loss: Close below $178 🌐 Long-Term Outlook (3–6 Months) Sustained breakout above $187 could lead to a new bullish phase. Target 1: $210 Target 2: $225 Stop-Loss: Break below $170 ✅ Summary NVIDIA is on the verge of breaking a major resistance level. A cautious entry above $187 may offer attractive upside potential. Risk of a false breakout exists, so stop-loss discipline is crucial.
NASDAQ:NVDALong
by isahebdadi
6
NVIDIA Will it finally make a new ATH?NVIDIA Corporation (NVDA) almost hit today its All Time High (ATH), which is currently its Resistance level. That is technically the top of a Descending Triangle pattern that the stock has been trading in since the start of August. The last time we saw a similar pattern was during NVDA's previous ATH formation in November 2024 - January 2025. Identical price actions as well as 1D RSI sequences among the two fractals. Based on that, we should be past a January 07 2025 ATH Resistance rejection, which targeted the 1D MA100 (green trend-line) before the next bounce. As a result, until the current ATH Resistance breaks, we should technically see a pull-back towards $166/67. This time however, there is a strong case for a ATH break-out as the price is trading within a short-term (blue) Channel Up. As long as this holds, it can keep making Higher Highs, with the next one technically aiming above the ATH Resistance. In any case, if that level breaks, we expect the price to target the 2.0 Fibonacci extension at just above $200. ------------------------------------------------------------------------------- ** Please LIKE 👍, FOLLOW ✅, SHARE 🙌 and COMMENT ✍ if you enjoy this idea! Also share your ideas and charts in the comments section below! This is best way to keep it relevant, support us, keep the content here free and allow the idea to reach as many people as possible. ** ------------------------------------------------------------------------------- 💸💸💸💸💸💸 👇 👇 👇 👇 👇 👇
NASDAQ:NVDA
by TradingShot
NVIDIA – Enormous Pressure After Reaching the Stretch LevelBetween July 31 and August 13, price kept nagging at the white U-MLH, but there wasn’t enough strength to break through. From there, price began to drift lower, pressing against the red U-MLH. The close last Friday failed to break below the red U-MLH – a clear sign of weakness! If the green mini-trendline gives way and the white ¼-Line moves above price as well, NVDA could be ripe for a short setup. Let’s stalk the trade.
NASDAQ:NVDAShort
by HowToChart
NVDA: Undervalued AI Chip Leader Amid #YoungInvestorPortfolio?NVDA: Undervalued AI Chip Leader Amid #YoungInvestorPortfolio? $209 Target in Sight? 🚀 NVDA trades at $178.19 (+1.45%), undervalued with dominant AI GPU demand tying into Reddit young investor buzz on portfolios—analysts forecast average $209 target, 17% upside from robust data center growth, questioning if Blackwell rollout sparks breakout. 📈 **Fundamental Analysis** EPS $3.51 ttm with revenue $165.218B and 71.55% YoY growth; P/E 52.56 reflects relative undervaluation in high-growth tech, DCF models indicate 15-20% intrinsic premium on AI expansions. - **Positive:** Leading AI market share; strong cash flow generation. - **Negative:** High capex demands; supply chain vulnerabilities. **SWOT Analysis** **Strengths:** Innovative GPU technology; data center dominance. **Weaknesses:** Valuation sensitivity to growth slowdowns. **Opportunities:** Expanding AI adoption; strategic partnerships. **Threats:** Regulatory scrutiny; intensifying competition. **Technical Analysis** Chart in uptrend with strong volume support. Price: $178.19, VWAP $177. Key indicators: - RSI: 53 (neutral, upside potential). - MACD: Positive signal line. - Moving Averages: Above 50-day $170, 200-day $150 (bullish). Support/Resistance: $170/$185. Patterns/Momentum: Ascending triangle targeting $200. 📈 Bullish. **Scenarios and Risk Management** - **Bullish:** AI demand surge to $200; DCA on pullbacks below $175 for averaged gains. - **Bearish:** Chip shortages drop to $160. - **Neutral:** Consolidates at $180 awaiting earnings. Risk Tips: Stops at 5% below entry, limit to 2% portfolio, diversify tech exposure, DCA to handle volatility. ⚠️ **Conclusion/Outlook** Bullish if AI trends accelerate. Watch Q3 earnings. Fits tech theme with #YoungInvestorPortfolio upside. Take? Comment!
NASDAQ:NVDA
by DCAChampion
Global Green Energy Trading Trends1. What we mean by “green energy trading” “Green energy trading” spans several related but distinct markets: Physical electricity markets where renewable generation competes in wholesale power markets. Corporate offtake markets / Power Purchase Agreements (PPAs) — long-term contracts linking buyers (often corporates) and renewable project sellers. Renewable Energy Certificates (RECs) / Guarantees of Origin (GOs) — unbundled instruments that represent the environmental attribute of 1 MWh of renewable generation. Carbon markets — both compliance (cap-and-trade) and voluntary carbon markets (VCM) for offsets/removals. Trade in low-carbon fuels and commodities — early and fast-growing markets for green hydrogen, ammonia, and derivatives intended for shipping, industry, and storage. Cross-border electricity and capacity trades, enabled by interconnectors and regional power pools. Each sub-market has its own liquidity dynamics, price drivers, participants and integrity issues. Treating them as a connected ecosystem — where PPAs, REC supply, carbon pricing and hydrogen exports all interact — is essential to understanding modern green energy trading. 2. Market scale & capital flows: momentum, but uneven progress Investment into clean energy technologies remains large and growing worldwide. Multiple 2025 trackers show record or near-record levels of investment in renewables and associated infrastructure, even while investment patterns differ by region. BloombergNEF and other trackers documented strong capital flows into solar, wind and storage in recent reporting, while public reports by the IEA and REN21 confirm renewables’ rising share of global generation. Still, important caveats exist: while installed capacity is growing fast, investment is increasingly focused on solar PV plus associated storage; grid and transmission investment lags; and some regions face investor retrenchment owing to policy or market risk. That re-risking shows up in slower PPA volumes or higher financing spreads in specific jurisdictions — the headline number (global investment) masks significant regional divergence. 3. Electricity trading and PPAs: corporates and utilities reshape demand Corporate demand for long-term PPAs has been a major growth engine for green trading. Large companies continue to sign deals to meet procurement and net-zero goals, supporting project finance. In 2024 corporates signed tens of gigawatts of PPAs globally, and while volumes fluctuate quarter-to-quarter, 2024–2025 figures still show hundreds of terawatt-hours of contracted renewable energy across major markets. The PPA market has also diversified — shorter tenors, virtual PPAs (financial-only), sleeved structures, and hybrid PPA + storage deals are now routine. LevelTen and market reports highlight these shifts in price discovery and contract structure. Market implications: PPAs reduce merchant risk for developers, unlocking capital for new projects. Financial PPAs (VPPA) allow companies in non-renewable grids to buy green attributes without physical delivery. The combination of PPAs and REC purchases makes an increasingly liquid “corporate demand stack” that supports project economics, particularly in markets with weak or absent compliance instruments. 4. REC, GO and attribute markets: unbundling clean electrons REC markets (called GOs in Europe, I-RECs in some markets) are maturing and expanding. Demand drivers include corporate procurement, renewable portfolio standards, and voluntary claims verification. The size of REC markets has ballooned where corporate offtake meets supportive policy; where policy is weak, VPPAs coupled with RECs are common. Key dynamics: Price dispersion — REC prices vary enormously across geographies depending on policy support and renewable penetration. Unbundling vs. bundled — growing debate over whether simply buying RECs (without matching delivery) is sufficient for claims of “using renewable energy.” Many corporates now aim for time-matched and location-matched procurement to reduce “additionality” questions. Market innovation — “time-tagged” or “hourly” certificates and blockchain pilots for traceability are becoming more common. This market still faces integrity questions: standardization of vintage, additionality, double-counting avoidance, and the interplay with compliance regimes require ongoing governance. 5. Carbon markets: compliance growth and voluntary market reform Carbon pricing and trading remain central to the economics of green energy. The World Bank’s 2025 carbon pricing report shows that carbon pricing covers an increasing share of emissions and is mobilizing fiscal resources — but coverage and price levels are highly uneven. Two parallel trends matter for green trading: Expansion and strengthening of compliance markets. More jurisdictions are adopting or tightening ETS (emissions trading systems) and carbon taxes, increasing demand for high-quality credits and driving corporate hedging strategies. Reform of voluntary carbon markets (VCM). After volatility and integrity scandals, the VCM is undergoing standardization — improved registries, stricter methodologies, and a market tilt toward removals and high-integrity nature-based or engineered solutions. Ecosystem Marketplace’s 2025 SOVCM documents this transition. Impacts: Carbon prices (and the existence of credible compliance markets) materially affect the levelized cost calculus for low-carbon fuels (e.g., hydrogen) and for investments in add-on abatement technologies. The VCM’s reform will shape corporate net-zero strategies — companies increasingly seek verifiable removals rather than cheap, low-integrity offsets. 6. Green hydrogen & traded molecules: the next frontier Green hydrogen (electrolytic H₂ powered by renewables) and its derivatives (ammonia, e-methanol) are moving from pilots to nascent global trade. IRENA and other analysts highlight strong potential for cross-border hydrogen trade, with resource-rich, low-cost renewable regions set to become exporters and industrial consumers (EU, Japan, Korea) as importers. IRENA’s 2025 analysis maps techno-economic potential for hydrogen and derived commodities, showing realistic export/import corridors emerging by 2030–2050. Why hydrogen trade matters for trading dynamics: Hydrogen opens a new commodities market with different logistics (electrolyzers, compression, shipping of ammonia or LOHCs) and new price formation mechanisms tied to electricity costs, electrolyzer capex, and shipping. Early trade will be bilateral and project-based (offtake contracts, tolling arrangements), transitioning to more liquid spot/forward markets as infrastructure and certification (low-carbon hydrogen certificates) develop. Countries with cheap renewables + coastal infrastructure (Australia, parts of the Middle East, North Africa, Chile) are positioning to be exporters; heavy industrial demand centers (EU, Japan, Korea) are positioning to be importers. Risks: cost trajectories for electrolyzers, the timeline of dedicated shipping/port infrastructure, and the need for an international certification framework to avoid greenwashing. 7. Cross-border electricity trading and grid issues As renewable shares rise, regional interconnections become more valuable: geographic smoothing of supply, optimized dispatch across time zones, and better utilization of variable renewables. Projects to expand interconnectors (Europe, Africa-Europe links, emerging interregional links in Asia) are gaining priority, but progress is constrained by permitting, financing and political coordination. Market design consequences: Larger, interconnected markets can reduce curtailment and lower system costs, but they also require harmonized market rules, congestion management and mechanisms to allocate transmission costs. High penetration of renewables increases the importance of ancillary service markets (frequency, inertia, fast reserves) and the monetization of storage services through trading platforms. 8. Technology & digitalization shaping trade Trading infrastructure, data and software are changing how green energy trades are executed: Hourly / granular attribute certificates. Time-matched RECs and hourly settlement help link generation and consumption more credibly. Trading platforms and marketplaces. Platforms for PPAs, RECs, and carbon credits (including tokenized assets and marketplace aggregators) improve liquidity and price discovery. Advanced forecasting and AI. Better wind/solar forecasts reduce short-term imbalance costs and improve the value of battery-coupled projects; AI also optimizes scheduling and trading strategies for aggregated distributed energy resources (DERs). Blockchain / registries. Pilots for immutable registries aim to reduce double counting and improve provenance — particularly important in voluntary markets and hydrogen certification. These innovations lower transaction costs and allow new market entrants (aggregators, VPP operators) to participate, broadening liquidity. 9. Policy, geopolitics and industrial policy: winners and losers Green trading does not happen in a vacuum: geopolitics and industrial policy decisions shape the supply chains and competitive advantages. Industrial policy matters. Countries that invest in electrolyzer manufacturing, battery supply chains, and port/infrastructure for hydrogen can capture export value chains. IRENA and other analysts point to likely exporters and importers through 2050. Trade frictions and ‘green industrial policy’. Governments are using tax credits, domestic content rules, and subsidies (e.g., IRA in the U.S., similar programs in the EU and Asia) to lock in upstream manufacturing — this can distort trade flows and prompt retaliatory measures. Energy security arguments. The energy transition coexists with strategic concerns — countries are wary of dependence on single suppliers for critical inputs (batteries, rare earths, hydrogen), and that shapes trade and contracting patterns. Geopolitical disruptions (e.g., shifts in trade alliances, sanctions) can quickly change routing and price dynamics for green commodities. 10. Corporate behaviour & financial innovation Corporates are major demand drivers through PPAs, on-site generation, and REC purchases; financial markets are responding with new instruments: Green bonds and sustainability-linked financing have become standard to fund projects. Hedging structures: corporate hedges, merchant storage arbitrage, and hybrid contracts (capacity + energy + attribute) are being packaged to manage revenue volatility. Insurance & de-risking products are maturing to address construction and merchant risk for green projects — critical to mobilize institutional capital. Investor due diligence has also matured: financial crates now scrutinize grid access, congestion risk, and REC/offset integrity before underwriting deals.
NASDAQ:NVDAEducation
by GlobalWolfStreet
NVDA – Coiling Tight for a Big Move on Gamma Levels . Sep 29NVDA – Coiling Tight for a Big Move as Gamma Levels Draw the Battle Lines ⚡️ 1-Hour Technical Outlook
NVIDIA has been grinding inside a narrowing descending channel after its recent selloff, with intraday price now stabilizing around $177–$178. A series of higher lows over the last two sessions hint at basing, but the short-term downtrend line from the $185 zone still caps upside. MACD histogram just turned positive and the Stoch RSI is pointing higher, signaling an early shift in momentum.
Immediate resistance sits at $180.2, followed by the heavy supply zone between $182.5 and $185. Key support levels are $175 (short-term pivot) and $172–$170 (structural demand). Gamma Exposure (GEX) Confirmation
 The options landscape reinforces these technical pivots: * Major Call Wall / Max positive GEX is stacked at $185, with ~45% of call positioning concentrated there. * Secondary call concentration: $182.5 (~39% call wall). * Strong put support: $172.5 and $170, matching the lower trend channel and recent lows. This setup suggests a gamma squeeze could ignite if NVDA breaks and holds above $180.2, where dealer hedging may accelerate upside toward $182.5–$185. Conversely, a loss of $175 would expose $172 and potentially $170 as downside magnets. Trade Ideas & Option Plays for This Week * Bullish Setup: Long above $180.2 with targets at $182.5 and $185. Ideal options: 1-week 180 or 182.5 calls, or 180/185 debit spreads to lower premium. * Bearish Scenario: Breakdown below $175 opens room to $172 and $170. Traders can look at short-dated puts or vertical spreads such as 175/170. * With IVR around 5.3 and IVx near 39, premiums are still modest—an advantage for debit spreads. My Take: NVDA is in a classic coiling pattern. Momentum oscillators are leaning bullish, but price must clear $180.2 to validate a trend reversal. The gamma map perfectly matches these breakout levels, giving confidence to the setup. Keep a tight stop below $175 if going long, and be ready to flip short if sellers reclaim control. Disclaimer: This analysis is for educational purposes only and does not constitute financial advice. Always do your own research and manage risk before trading.
NASDAQ:NVDA
by BullBearInsights