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1NVDA trade ideas

NVDA (Nvidia’s) Leading Diagonal Pattern Targets $193The short-term Elliott Wave analysis for Nvidia (NVDA) indicates that the cycle from the September 18 low is unfolding as a leading diagonal. Starting from that low, wave ((i)) concluded at $184.55, followed by a pullback in wave ((ii)) that ended at $173.12, as depicted in the 30-minute chart. The stock then surged in wave ((iii)), displaying an internal impulse structure. From wave ((ii)), wave (i) peaked at $180.26, with wave (ii) dipping to $174.93. Wave (iii) climbed to $187.35, followed by a wave (iv) pullback to $183.90. The final leg, wave (v), reached $191.05, completing wave ((iii)) in a higher degree. The subsequent wave ((iv)) pullback formed a zigzag Elliott Wave pattern. From wave ((iii)), wave (a) declined to $185.38, wave (b) rose to $190, and wave (c) dropped to $182.88, finalizing wave ((iv)). The stock has since resumed its ascent in wave ((v)), with wave (i) ending at $187.23 and wave (ii) dips concluding at $184. The stock is poised to climb further, likely completing wave (iii) soon. A wave (iv) pullback should follow to correct the cycle from the October 8, 2025 low before resuming higher. As long as the $173.12 pivot holds, any pullback should find support in a 3, 7, or 11 swing, setting the stage for additional upside.
NASDAQ:NVDA
by Elliottwave-Forecast
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: Riding the AI Hype Wave to $250!NASDAQ:NVDA just hit its all-time high last friday, reaching my swing trade target. While I took profits as part of my routine discipline, I still believe there's plenty of upside left, with $250 in sight. Here's why: Strong Fundamentals: Nvidia consistently beats earnings expectations, with EPS climbing from $0.11 to $0.68 over recent six quarters. This growth trajectory shows no signs of slowing down, reinforcing the stock's upward momentum. Analyst Confidence: Out of 65 analysts, 51 rate Nvidia as a "Strong Buy," with none suggesting a sell. While the average price target is $149.81, the highest target of $202.79 shows strong backing from the financial community. Bullish Technicals: Weekly and daily moving averages, from the 10-day to the 200-day, are flashing "Buy" across the board. Add to that a myriad of other indicators in different time frames (basically, you name it), and it’s signaling "Buy." In short, everything is pointing towards continued bullish momentum and potential for further gains. Market Leadership: Nvidia's dominance in AI and high-performance computing continues to grow. Its cutting-edge AI chips, as well as its strong presence in data centers and gaming, put the company in a prime position to capitalize on key growth sectors. And finally, why am I more bullish than even the highest analyst target? Well, it’s simple: the hype. Nvidia is at the forefront of the most exciting and disruptive technologies today—AI, data centers, gaming—you name it. The market's enthusiasm surrounding these sectors is growing exponentially, and Nvidia is perfectly positioned to ride that wave. Sometimes, fundamentals and technicals align with pure market excitement, and that’s where I see Nvidia pushing past those conservative estimates toward $250. Disclaimer: This content is for informational and educational purposes only. It should not be considered as financial or investment advice. Trading stocks involves risk, and you should perform your own research or consult with a professional before making any investment decisions. Past performance is not indicative of future results.
NASDAQ:NVDALong
by CF_444
NVDA Showdown:Will Bulls Charge to $204 or Bears Drag Us to $163If NVDA falls under $179, it might quickly drop to $176.70. If it keeps falling, the next stop could be $163. But if NVDA goes up and closes above $188, we could see it reach $199 or even $204. Why do these levels matter? Because a big move could happen soon; either a big fall or a strong jump up. What would you do if NVDA hit these prices? Have you seen this happen before? If you’re wondering what these moves could mean for you, or if you have questions, just send me a message. Sometimes one good question leads to your best trade ever. What would you ask if you could get a clear answer? Mindbloome Exchange/ Trade What You See
NASDAQ:NVDA
by Mindbloome-Trading
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 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: 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
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
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
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
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
NVDA QuantSignals V3 Weekly 2025-10-11Trade Recommendation for NVidia (NVDA) Direction: BUY PUTS Confidence: 40% (Below Minimum Threshold) Conviction: HIGHLY SPECULATIVE Analysis Summary: Katy AI Signal: Neutral with low confidence (50%). Weekly Momentum: Bearish (negative performance in the past week). Other Factors: Slightly more puts being bought (Put/Call Ratio of 0.93), negative gap, and VWAP indicating potential selling pressure. While Katy AI’s signal is neutral, weekly momentum leans bearish, suggesting a speculative approach to buying puts. However, this recommendation comes with significant uncertainty due to low confidence and mixed signals. Trade Setup: Expiry Date: 2025-10-17 (6 days) Strike Price: $175 Put Delta: ~0.4 (Balanced exposure for speculative positions) Risks & Considerations: Highly speculative due to low confidence and mixed signals. Market volatility is elevated, with a VIX of 21.66 compared to the 17.60 five-day average. Close monitoring of market data is essential given the speculative nature of this trade. Important Notes: This recommendation carries high risk and should be approached cautiously. Only allocate capital that you can afford to lose. Final Decision: Proceed with a highly speculative BUY PUTS strategy on NVidia with caution. 📊 TRADE DETAILS 📊 🎯 Instrument: NVDA 🔀 Direction: 💵 Entry Price: None 🎯 Profit Target: None 🛑 Stop Loss: None 📏 Size: N/A 📈 Confidence: 50% ⏰ Entry Timing: N/A 🕒 Signal Time: 2025-10-11 14:53:59 EDT 🔴 HIGH RISK WARNING: Use only small position size due to lower confidence and high uncertainty. 📊 Full Technical Analysis Chart (Paid Subscribers Only) Below is the complete unblurred chart with all technical indicators and analysis details: Disclaimer: This newsletter is not trading or investment advice but for general informational purposes only. This newsletter represents my personal opinions based on proprietary research which I am sharing publicly as my personal blog. Futures, stocks, and options trading of any kind involves a lot of risk. No guarantee of any profit whatsoever is made. In fact, you may lose everything you have. So be very careful. I guarantee no profit whatsoever, You assume the entire cost and risk of any trading or investing activities you choose to undertake. You are solely responsible for making your own investment decisions. Owners/authors of this newsletter, its representatives, its principals, its moderators, and its members, are NOT registered as securities broker-dealers or investment advisors either with the U.S. Securities and Exchange Commission, CFTC, or with any other securities/regulatory authority. Consult with a registered investment advisor, broker-dealer, and/or financial advisor. By reading and using this newsletter or any of my publications, you are agreeing to these terms. Any screenshots used here are courtesy of TradingView. I am just an end user with no affiliations with them. Information and quotes shared in this blog can be 100% wrong. Markets are risky and can go to 0 at any time. Furthermore, you will not share or copy any content in this blog as it is the authors' IP. By reading this blog, you accept these terms of conditions and acknowledge I am sharing this blog as my personal trading journal, nothing more.
NASDAQ:NVDALong
by quantsignals
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