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NVIDIA Corporation Shs Cert Deposito Arg Repr 0.04166667 ShNVIDIA Corporation Shs Cert Deposito Arg Repr 0.04166667 ShNVIDIA Corporation Shs Cert Deposito Arg Repr 0.04166667 Sh

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NVDA Holding Strong. Break $190 Before the Next Wave. Oct 9NVIDIA continues to trade with strong bullish momentum, consolidating just under the $190 level — a critical resistance area backed by prior liquidity grabs and gamma resistance. Today’s price action shows tight coiling between $188 and $189.50, indicating a potential breakout setup for the next session. Market Structure: * On the 15-minute chart, NVDA is respecting an ascending trendline from yesterday’s low, suggesting sustained intraday bullish control. * The 1-hour structure reveals a clean range between $185.75 (support) and $189.50 (resistance) — a breakout from this range could trigger a measured move toward $192–$195. * MACD on the 15-minute is crossing bullish with rising histogram momentum, and the Stoch RSI remains elevated but not yet overextended — signaling possible continuation before cooling off. Support and Resistance Levels: * Immediate Resistance: $189.41 → $190.36 (short-term breakout zone) * Major Resistance (Gamma Wall): $192.5 → $195 * Immediate Support: $186.89 → $185.75 * Key Support Zone: $184.4 → $182.8 GEX & Options Sentiment (1H GEX Chart): * Highest positive Call Gamma concentration sits between $192.5 and $195, aligning with visible overhead resistance. * Put support remains dense at $182–$180, forming a sturdy gamma floor. * IVR remains low at 12.2, and call positioning slightly outweighs puts (13.5% call bias), showing traders are positioning bullish but cautiously. * The GEX trend favors upside momentum while $185 holds, giving NVDA room to climb toward the $190–$192.5 zone if SPY continues to strengthen. Trade Scenarios:
Bullish Setup: * Entry: Above $189.50 breakout confirmation * Target 1: $192.5 * Target 2: $195 * Stop-Loss: Below $186.8 * Rationale: Trendline support, bullish MACD, and strong GEX alignment support a breakout continuation. Bearish Setup: * Entry: Below $185.75 (breakdown retest) * Target 1: $184.4 * Target 2: $182 * Stop-Loss: Above $187 * Rationale: A rejection at $189–$190 with MACD divergence could trigger a short-term pullback to fill lower liquidity pockets. NVDA’s price action shows controlled consolidation under a key resistance, suggesting a potential breakout continuation toward $192–$195 if momentum holds. Watch SPY’s direction for confirmation — any weakness there could cause NVDA to retest $185 before resuming upward. For now, bulls are in charge. Disclaimer:
This analysis is for educational purposes only and does not constitute financial advice. Always do your own research and manage your risk before trading.
NASDAQ:NVDA
by BullBearInsights
Nvidia - The next rally of +33% started!🚀Nvidia ( NASDAQ:NVDA ) just broke out: 🔎Analysis summary: Over the past couple of months, Nvidia has been rallying an expected +100%. However, just objectively looking at the chart, this rally is not over yet. After the confirmed all time high breakout, Nvidia can rally another +33% until it will retest a substantial resistance level. 📝Levels to watch: $250 SwingTraderPhil SwingTrading.Simplified. | Investing.Simplified. | #LONGTERMVISION
NASDAQ:NVDALong
by SwingTraderPhilTV
21
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
NVDA at the Edge: Can Bulls Hold the Line on Oct. 13?NVIDIA had one of the toughest weeks in months — the stock dropped nearly 5% on Friday as traders rushed to safety during the volatility spike. What we’re looking at now is not just a dip — it’s a real battle between smart money reloading for the next wave and panic sellers trying to exit before another flush. Let’s break down both the 15-minute intraday structure and the 1-hour GEX setup to see what’s next. NVDA 15-Minute — Intraday Structure Friday’s session was brutal. NVDA fell sharply from around 192.5 and closed near 183, creating a steep descending channel that’s still active. * Trendline & Structure:
The price is still trading below the descending trendline, but we’re starting to see the first signs of stabilization. The last few candles show a short-term bullish divergence forming on MACD, and Stoch RSI is recovering from oversold levels around 25.
That tells us the selling momentum is cooling — at least for now. * Immediate Resistance Zone: 186.4 – 188.0.
This is the first area bears will defend. A clean breakout above 188 could trigger a quick move toward 192.5, where Friday’s breakdown began. * Support Zone: 177 – 180.
This is the current intraday demand area. If we see another pullback here at the open, I expect buyers to step in — but if this level breaks, the door opens toward 172, the next strong support below. * Intraday Plan:
I’d watch how NVDA behaves at 185 – 186 early in the morning. If it rejects this zone and VIX spikes again, short scalps back to 180 make sense.
But if SPY shows strength and VIX cools under 20, NVDA could run a relief move toward 190–192 for a day trade. NVDA 1-Hour GEX Chart — Options Sentiment Now this is where things get really interesting. From the Options GEX and Options Oscillator, we’re seeing how the option market is currently positioned around NVDA: * Highest Positive Net GEX / Call Resistance: ~188–192.5
That’s the wall where call sellers sit — heavy resistance for now. * HVL & Short-Term Gamma Level: ~177.5
This level marks the highest volatility line (HVL). Below that, gamma flips negative, meaning dealers will start shorting to hedge, which amplifies downside moves. * Put Support: ~170–172 zone, where negative GEX peaks (-61%).
That’s the line in the sand for deeper correction. * IVR / IVX: 22.4 / 51.4 → Volatility is elevated but not extreme. There’s still room for expansion if fear continues. What this tells me: NVDA is caught right between strong call resistance and heavy put support. Whichever side breaks first will dictate the next big move. My Thoughts & Trade Ideas From a technical perspective, NVDA is in a short-term bearish trend, but it’s also sitting at a potential bounce zone. The risk/reward for bulls improves here if volatility doesn’t expand further. For Intraday Traders: * I’d wait for confirmation at the open. * A push above 186–188 could trigger quick long scalps to 191–192.5. * Failure there? Short setups back to 180 with tight stops above 188. For Options Traders: * Calls near the 180 strike for quick rebounds are fine if VIX fades early — but keep expirations tight (1DTE or 2DTE). * If volatility remains high and NVDA fails 180, puts around 177–175 may gain traction into midweek. The Bigger Picture Friday’s move wasn’t just about NVDA — it was all fear-driven. VIX broke 21, SPY collapsed, and traders de-risked across the board. If volatility holds above 20.6 into Monday, NVDA will likely stay under pressure.
But if the market calms, this could be the level where smart money quietly reloads for the next move up. So going into Oct. 13, I’m cautious but watching for a reversal attempt. The moment NVDA breaks its 15-minute trendline and clears 188 with volume, the sentiment flips bullish short-term. Key Takeaway:
NVDA is sitting right in the middle of a gamma battlefield. 180 is the must-hold level, 192 is the breakout gate. Volatility will decide the winner. Disclaimer: This analysis is for educational purposes only and not financial advice. Always do your own research and manage risk carefully.
NASDAQ:NVDA
by BullBearInsights
Master Correlation StrategiesUnlocking the Power of Inter-Market Relationships in Trading. 1. Understanding Correlation in Trading Correlation refers to the statistical relationship between two or more financial instruments — how their prices move relative to each other. It is expressed through a correlation coefficient ranging from -1 to +1. Positive Correlation (+1): When two assets move in the same direction. For example, crude oil and energy sector stocks often rise and fall together. Negative Correlation (-1): When two assets move in opposite directions. For instance, the U.S. dollar and gold often have an inverse relationship — when one rises, the other tends to fall. Zero Correlation (0): Indicates no consistent relationship between two assets. Understanding these relationships helps traders predict how one market might respond based on the movement of another, enhancing decision-making and portfolio design. 2. Why Correlation Matters In modern financial markets, where globalization links commodities, equities, currencies, and bonds, no asset class operates in isolation. Correlation strategies allow traders to see the “bigger picture” — understanding how shifts in one area of the market ripple across others. Some key reasons why correlation is vital include: Risk Management: Diversification is only effective when assets are uncorrelated. If all your holdings move together, your portfolio is not truly diversified. Predictive Analysis: Monitoring correlated assets helps anticipate price moves. For example, a rally in crude oil might foreshadow gains in oil-dependent currencies like the Canadian Dollar (CAD). Hedging Opportunities: Traders can offset risks by holding negatively correlated assets. For instance, pairing long stock positions with short positions in an inverse ETF. Market Confirmation: Correlations can validate or contradict signals. If gold rises while the dollar weakens, the move is more credible than when both rise together, which is rare. 3. Core Types of Correlations in Markets a. Intermarket Correlation This examines how different asset classes relate — such as the link between commodities, bonds, currencies, and equities. For example: Rising interest rates typically strengthen the domestic currency but pressure stock prices. Falling bond yields often boost equity markets. b. Intra-market Correlation This focuses on assets within the same category. For example: Technology sector stocks often move together based on broader industry trends. Gold and silver tend to share similar price patterns. c. Cross-Asset Correlation This involves analyzing relationships between assets of different types, such as: Gold vs. U.S. Dollar Crude Oil vs. Inflation Expectations Bitcoin vs. NASDAQ Index d. Temporal Correlation Certain correlations shift over time. For instance, the correlation between equities and bonds may be positive during economic growth and negative during recessions. 4. Tools and Techniques to Measure Correlation Correlation is not merely an observation—it’s a quantifiable concept. Several statistical tools help traders measure and monitor it accurately. a. Pearson Correlation Coefficient This is the most widely used formula to calculate linear correlation between two data sets. A reading close to +1 or -1 shows a strong relationship, while values near 0 indicate weak correlation. b. Rolling Correlation Markets evolve constantly, so rolling correlation (using moving windows) helps identify how relationships shift over time. For example, a 30-day rolling correlation between gold and the USD can show whether their inverse relationship is strengthening or weakening. c. Correlation Matrices These are tables showing the correlation coefficients between multiple assets at once. Portfolio managers use them to construct diversified portfolios and reduce overlapping exposures. d. Software Tools Platforms like Bloomberg Terminal, TradingView, MetaTrader, and Python-based tools (like pandas and NumPy libraries) allow traders to calculate and visualize correlation efficiently. 5. Applying Correlation Strategies in Trading a. Pair Trading Pair trading is a market-neutral strategy that exploits temporary deviations between two historically correlated assets. Example: If Coca-Cola and Pepsi usually move together, but Pepsi lags temporarily, traders may go long Pepsi and short Coca-Cola, betting the relationship will revert. b. Hedging with Negative Correlations Traders can use negatively correlated instruments to offset risk. For instance: Long positions in the stock market can be hedged by taking positions in safe-haven assets like gold or the Japanese Yen. c. Sector Rotation and ETF Strategies Investors track sector correlations with broader indices to identify leading and lagging sectors. For example: If financial stocks start outperforming the S&P 500, this could signal a shift in the economic cycle. d. Currency and Commodity Correlations Currencies are deeply linked to commodities: The Canadian Dollar (CAD) often correlates positively with crude oil prices. The Australian Dollar (AUD) correlates with gold and iron ore prices. The Swiss Franc (CHF) is often inversely correlated with global risk sentiment, acting as a safe haven. Traders can exploit these relationships for cross-market opportunities. 6. Case Studies of Correlation in Action a. Gold and the U.S. Dollar Gold is priced in dollars; therefore, when the USD strengthens, gold usually weakens as it becomes more expensive for other currency holders. During 2020’s pandemic uncertainty, both assets briefly rose together — a rare situation showing correlation can shift temporarily under stress. b. Oil Prices and Inflation Oil serves as a barometer for inflation expectations. When crude prices rise, inflation fears grow, prompting central banks to tighten policies. Traders who monitor this relationship can anticipate policy shifts and market reactions. c. Bitcoin and Tech Stocks In recent years, Bitcoin has shown increasing correlation with high-growth technology stocks. This suggests that cryptocurrency markets are influenced by risk sentiment similar to the equity market. 7. Benefits of Mastering Correlation Strategies Enhanced Market Insight: Understanding inter-market dynamics reveals the underlying forces driving price movements. Stronger Portfolio Construction: Diversify effectively by choosing assets that truly offset one another. Smarter Risk Control: Correlation analysis highlights hidden exposures across asset classes. Improved Trade Timing: Correlation signals help confirm or challenge technical and fundamental setups. Global Perspective: By studying correlations, traders gain insight into how global events ripple through interconnected markets. 8. Challenges and Limitations Despite its power, correlation analysis is not foolproof. Traders must be aware of its limitations: Changing Relationships: Correlations evolve over time due to policy changes, crises, or shifting investor sentiment. False Correlation: Sometimes two assets appear correlated by coincidence without a fundamental link. Lag Effect: Correlation may not capture time delays between cause and effect across markets. Overreliance: Correlation is one tool among many; combining it with technical, fundamental, and sentiment analysis produces more reliable outcomes. 9. Advanced Correlation Techniques a. Cointegration While correlation measures relationships at a moment in time, cointegration identifies long-term equilibrium relationships between two non-stationary price series. For example, even if short-term correlation fluctuates, two assets can remain cointegrated over the long run — useful in statistical arbitrage. b. Partial Correlation This method isolates the relationship between two variables while controlling for others. It’s particularly helpful in complex portfolios involving multiple correlated instruments. c. Dynamic Conditional Correlation (DCC) Models These advanced econometric models (used in quantitative finance) measure time-varying correlations — essential for modern algorithmic trading systems. 10. Building a Correlation-Based Trading System A professional correlation strategy can be structured as follows: Data Collection: Gather historical price data for multiple assets. Statistical Analysis: Calculate correlations and rolling relationships using software tools. Strategy Design: Develop pair trades, hedges, or intermarket signals based on correlation thresholds. Backtesting: Validate the system across different market phases to ensure robustness. Execution and Monitoring: Continuously update correlation data and adjust positions as relationships evolve. Risk Control: Implement stop-loss rules and diversification limits to prevent overexposure to correlated positions. 11. The Future of Correlation Strategies In an era of high-frequency trading, AI-driven analytics, and global macro interconnectedness, correlation strategies are evolving rapidly. Machine learning models now identify non-linear and hidden correlations that traditional statistics might miss. Furthermore, as markets integrate further — with crypto, ESG assets, and alternative data sources entering the scene — understanding these new correlations will be crucial for maintaining an edge in trading. 12. Final Thoughts Mastering correlation strategies isn’t just about mathematics — it’s about understanding the language of global markets. Every movement in commodities, currencies, and indices tells a story about how capital flows across the world. A trader who comprehends these relationships gains not only analytical power but also strategic foresight. By mastering correlation analysis, you move beyond isolated price charts and see the interconnected web that drives the global financial ecosystem. In essence, correlation strategies are the bridge between micro-level technical trades and macro-level economic understanding. Those who can navigate this bridge with confidence stand at the forefront of modern trading excellence — armed with knowledge, precision, and an unshakable sense of market direction.
NASDAQ:NVDAEducation
by GlobalWolfStreet
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
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
NVDA Oct 7–Coiling Tight for a Breakout! Watch $187.5 Pivot Zone15-Min Chart Analysis (Intraday Trading Setup): NVDA is forming a symmetrical triangle, compressing between $185–$187.5 after several sessions of choppy consolidation. This coiling pattern reflects equilibrium between buyers and sellers — a setup that typically precedes a strong breakout or breakdown. Price is currently sitting at $185.65, hugging the triangle’s apex. The MACD is neutral, showing declining momentum but no bearish crossover confirmation yet. Meanwhile, Stoch RSI is resetting mid-range (46.83 / 43.28), suggesting the potential for a new move in either direction once momentum triggers. Short-term levels to watch: * Upside breakout zone: $187.25 → $187.62. A break and hold above this level could quickly push NVDA toward $190–$192.50. * Downside support: $182.93 → $180.50. If price loses $182.93 with volume, it opens room for a retest of the $178 zone where prior liquidity pools exist. Given the wedge compression, traders should stay patient — the move that follows could be sharp and decisive. 1-Hour GEX Confirmation (Options Sentiment Insight):
 GEX levels on the 1-hour chart reinforce the technical setup perfectly: * Highest positive NETGEX / CALL resistance stands at $192.50, forming a key magnet zone if NVDA breaks out. * The $185 area aligns with a neutral gamma transition point — a battleground between dealers hedging both directions. * Strong PUT walls are concentrated around $180–$172.50, creating a solid downside floor. This gamma structure implies a coiled spring scenario — a decisive break above $187.5 could unleash gamma-driven upside momentum toward $190–$192, while losing $182.9 could accelerate a gamma unwind to $180. My Thoughts:
NVDA’s price action shows tightening volatility, a sign of energy building before expansion. With low IVR (14.8) and IVx (45.9) — volatility is compressed, making directional breakouts ideal for options traders. I’m watching $187.50 as the key pivot. A breakout above it could trigger a short-term gamma squeeze toward $192.50, while a failure and rejection could lead to a fade toward $182–$180. This setup offers an attractive risk/reward in either direction — ideal for momentum traders. Options Outlook (Oct 7–11): * Bullish setup: Consider 187.5C or 190C (Oct 11 expiry) if price reclaims and holds above $187.5 with volume > average. * Bearish setup: Consider 182.5P if NVDA fails at $187.5 and breaks below $183 with confirmed MACD divergence. * Volatility note: With IVR at 14.8, option premiums are cheaper than usual — a good opportunity for directional swing entries. Conclusion:
NVDA is consolidating tightly at a critical crossroad. The symmetrical triangle plus neutral gamma landscape signals a breakout is near — watch $187.5 for confirmation. Above it, bulls can push toward $190–$192.5; below $183, bears gain control. Stay alert — the next move could define NVDA’s direction for the week. Disclaimer: This analysis is for educational purposes only and does not constitute financial advice. Always do your own research and manage your risk before trading.
NASDAQ:NVDA
by BullBearInsights
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 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
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 Stock Analysis NVIDIA stock (NVDA) is currently trading at $180.03, with a daily loss of -4.33%. The price fluctuates between $179.87 and $185.83, with a trading volume of 205.6 million shares. Technical Analysis The price is currently in a consolidation phase between $179 and $186. A breakout above $186 could open up further upside potential to $195. A drop below $179 would make a correction to $172 likely. Current News Month of October 2025 Investment in xAI: NVIDIA is considering an investment of up to $2 billion in Elon Musk's AI startup xAI, boosting confidence in AI development. Sustained Demand: CEO Jensen Huang reports massive demand for NVIDIA's Blackwell chips, solidifying its market position. Trade conflicts: Fears of an escalating trade conflict between the US and China led to a 2.1% decline in the share price to $184.41. The current consolidation offers a potential entry opportunity. A breakout above $186 could enable a short-term price increase to $195. A stop loss below $179 would limit the risk. Note: The information presented is for informational purposes only and does not constitute investment advice. Investing in stocks involves risks.
NASDAQ:NVDA
by GOLDBERG_INVESTMENT
NVDA – Tariff Shock📰 Context: Tariff Shock Factor Trump has recently announced that starting November 1, the U.S. will impose an additional 100% tariff on Chinese imports, along with stricter export controls on critical software. The escalation in trade tensions puts semiconductor names like NVDA directly in the crosshairs — greater risk of export restrictions, supply chain stress, and demand cutbacks in China. So while the long-term AI narrative remains powerful, the short-to-medium term is more volatile than usual. 🧠 My Take Entry Points (Long): Entry A: $168 (near resistance break or pullback bounce) Entry B: $153 (deeper pullback, still within bullish structure) Entry C: $130 (if severe correction occurs) Targets: Target 1: +7% → ~ $180 Target 2: +15% → ~ $193 Target 3: +18% → ~ $198–200 📌 Disclaimer: This is my personal trading idea, not financial advice. Use your own research, match your risk tolerance, and always manage your position size and stops.
NASDAQ:NVDALong
by Robert_V12
The Impact of Multinational Corporations (MNCs) on Global Trade1. Understanding Multinational Corporations A multinational corporation (MNC) is a company that manages production or delivers services in more than one country. The defining features of MNCs include: Global presence – Operations span multiple countries through subsidiaries, branches, or joint ventures. Centralized control – Strategic decisions are made at the headquarters while local operations adapt to regional markets. Large capital base – MNCs often possess vast financial resources that enable them to invest globally. Technology and innovation leadership – Many MNCs are at the forefront of research and development (R&D), driving global innovation. Examples include Apple, Microsoft, Toyota, Nestlé, Samsung, and Procter & Gamble, each influencing production, consumption, and trade across continents. 2. MNCs as Catalysts for Global Trade Expansion MNCs are the engines of globalization. Their global operations facilitate the movement of goods, services, technology, and capital across borders. They act as bridges connecting developed and developing economies through trade networks, investment flows, and knowledge exchange. a) Expansion of International Markets MNCs expand their production and distribution networks into multiple countries to reach broader markets. For instance, Coca-Cola and McDonald’s have established a presence in over 100 countries, adapting products to local tastes but maintaining global brand consistency. This expansion boosts cross-border trade in goods and services. b) Integration of Global Supply Chains One of the most transformative impacts of MNCs is the creation of global value chains (GVCs)—complex networks of production that span multiple countries. A single product, such as an iPhone, might have components made in Japan, software from the U.S., assembly in China, and distribution worldwide. This interlinked production structure increases trade in intermediate goods and services and enhances efficiency through specialization. c) Promotion of Foreign Direct Investment (FDI) MNCs are the largest source of foreign direct investment, which directly influences global trade. By setting up subsidiaries, factories, or service centers in other countries, MNCs create trade linkages. FDI often complements trade by building local production for exports or substituting imports with local production. 3. MNCs and Economic Development a) Technology Transfer MNCs play a key role in transferring technology and managerial know-how to host countries. Developing economies benefit from modern production techniques, quality control, and innovative management practices. For example, when an automobile giant like Toyota establishes a plant in India, it not only creates jobs but also transfers skills and introduces advanced manufacturing technologies. b) Employment Generation MNCs generate employment both directly and indirectly. They hire local workers, utilize domestic suppliers, and stimulate service industries such as logistics, finance, and telecommunications. For developing countries, this employment generation can lead to skill enhancement and income growth. c) Enhancing Export Capabilities Many MNCs establish export-oriented industries in developing countries due to lower labor costs. This enhances the export potential of the host country, improves trade balances, and promotes industrial diversification. Countries like Vietnam, Mexico, and Bangladesh have benefited significantly from MNC-led export growth in sectors like textiles and electronics. 4. The Strategic Role of MNCs in Global Trade Patterns MNCs do not just participate in trade—they actively shape its structure. Their strategies determine what is produced, where it is produced, and how it is traded. a) Resource Optimization MNCs strategically locate their production units in countries where resources—labor, raw materials, and energy—are most cost-effective. This optimization reduces production costs and influences global trade flows. For example, Intel manufactures semiconductors in regions where technical expertise and low-cost skilled labor are available. b) Trade Diversification Through their global reach, MNCs diversify trade by introducing new products, markets, and industries. They create cross-border linkages that integrate economies and make global trade more resilient to regional shocks. c) Market Influence Due to their large size and market power, MNCs often influence international prices, trade policies, and even consumer preferences. For instance, the decisions of energy MNCs like ExxonMobil or Shell can affect global oil trade and pricing. 5. MNCs and Globalization: A Two-Way Relationship Globalization has facilitated the rise of MNCs, and MNCs, in turn, have accelerated globalization. a) Liberalization and Market Access The liberalization of trade and investment policies across the world—through organizations like the World Trade Organization (WTO)—has allowed MNCs to expand operations freely. They exploit opportunities in open markets and influence trade agreements. b) Cultural Exchange and Global Brands MNCs spread global brands and lifestyles across borders. Companies like Nike, Starbucks, and Amazon have created uniform consumption patterns and global consumer identities. This cultural globalization has both positive (cultural awareness) and negative (cultural homogenization) effects. 6. Challenges and Criticisms of MNCs in Global Trade Despite their contributions, MNCs also face criticism for several adverse impacts on host and home countries. a) Exploitation of Labor and Resources MNCs are often accused of exploiting cheap labor and natural resources in developing countries. Low wages, poor working conditions, and environmental degradation have been reported in industries such as garment manufacturing and mining. b) Economic Inequality MNC operations can lead to uneven development. Profits are often repatriated to home countries, leading to capital outflows from developing economies. The benefits of FDI and trade may be concentrated among a few urban centers, widening inequality. c) Monopoly and Market Power Due to their size, MNCs can dominate markets, stifling competition from local firms. For example, small retailers may struggle to compete with giants like Walmart or Amazon. This dominance can reduce diversity and lead to market monopolization. d) Political and Economic Influence MNCs wield significant political influence, lobbying for favorable trade policies, tax breaks, or weaker labor and environmental regulations. This influence can distort democratic policymaking in host countries. e) Cultural Erosion Global brands and media spread Western consumption patterns, often at the expense of local cultures and traditions. This cultural homogenization raises concerns about loss of identity in many developing nations. 7. MNCs and Sustainable Global Trade In recent years, the focus has shifted toward sustainable and ethical globalization, and MNCs are under growing pressure to adopt responsible practices. a) Environmental Responsibility Companies are now integrating green practices in production and logistics to reduce carbon footprints. For example, Tesla promotes renewable energy and electric mobility, while Unilever focuses on sustainable sourcing. b) Fair Trade and Corporate Social Responsibility (CSR) Many MNCs are adopting CSR initiatives, supporting local communities, improving labor standards, and engaging in fair trade practices. This builds brand trust and aligns with consumer demand for ethical products. c) Digital Transformation and Global Connectivity The digital era has enhanced MNC efficiency and global integration. E-commerce giants like Alibaba and Amazon have created platforms that connect millions of small businesses to international markets, democratizing trade access. 8. Case Studies: MNCs Shaping Global Trade Case 1: Apple Inc. – The Global Supply Chain Model Apple’s products are a perfect example of globalization driven by MNCs. Designed in California, components are sourced globally—from South Korea, Taiwan, and Japan—and assembled in China before being distributed worldwide. This model exemplifies how MNCs integrate multiple economies through trade and production. Case 2: Toyota – Innovation and Localization Toyota’s global strategy of “local production for local consumption” has strengthened its presence in markets like India, the U.S., and Europe. It sets up local manufacturing facilities to reduce trade barriers while maintaining export-oriented models, influencing both local employment and trade balances. Case 3: Unilever – Sustainable Development and Global Reach Operating in over 190 countries, Unilever integrates global trade with local adaptation. It promotes sustainability, fair trade, and rural development through localized sourcing while maintaining global brand consistency. 9. The Future of MNCs in Global Trade a) Digital and Technological Transformation Advances in artificial intelligence, automation, and blockchain are redefining how MNCs operate. Digital trade, e-commerce, and fintech platforms will further integrate global markets, making cross-border trade more efficient. b) Decentralization and Regionalization The COVID-19 pandemic and geopolitical tensions have prompted MNCs to diversify supply chains away from over-dependence on a single country. This shift toward regional trade hubs (e.g., ASEAN, EU, NAFTA) may reshape global trade geography. c) Inclusive and Green Growth Future trade policies and corporate strategies are expected to emphasize inclusivity, sustainability, and environmental accountability. MNCs that align with green trade practices and ESG (Environmental, Social, and Governance) standards will likely dominate global commerce. 10. Conclusion Multinational corporations have become the backbone of the global trading system, transforming how nations interact economically. Their ability to connect markets, transfer technology, and create employment has made them indispensable to modern globalization. However, their growing power also raises challenges—inequality, environmental degradation, and monopolistic practices—that require balanced regulation and global governance. To ensure a fair and sustainable global trade ecosystem, collaboration among governments, MNCs, and international institutions is essential. The future of global trade will depend not only on corporate innovation but also on ethical leadership, equitable wealth distribution, and environmental stewardship. In essence, MNCs are both the architects and products of globalization. Their actions will continue to shape the trajectory of global trade, determining whether the world moves toward inclusive prosperity or deeper inequality. The challenge lies in harnessing their vast potential while ensuring that their influence benefits not just shareholders—but societies across the globe.
NASDAQ:NVDAEducation
by GlobalWolfStreet
NVDA - weekly chart MVP SYSTEM MOMENTUM - daily is in uptrend channel; weekly is ??; monthly looks toppy VOLUME - some increased volume on the breakout above 183; Overall, volume not significantly changed since the April bottom PRICE - There is a topping candle on the weekly at the upper trendline of the megaphone; Price reached 195 before reversing back down What does it all mean? 1. Possible revisit 165 2. Possible revisit 150 3. Possible retouch of 180 and then next move up again 3. Long-term top is in with uncertain future Let me know what you think….
NASDAQ:NVDA
by MVPsystem