MARKING LEVELS TO( supply/ demand = trending) BULLISH MARKETS1.Find trend = current market is trending so i MARKed key LEVELS in the
(wkly,dly,1HR,15MIN )
I found the trend in the 15 minute timeframe, Soley focused on that time frame when looking at the next steps
2. wait for a bos {break of structure} in same direction of the trend= looked for a New LL (lower low) to be made= No candle close {real body}
3. waited till price to come to my demand zone
4. entered trade and set my tp to supply zone !
I took a step back to find out in the higher timeframes there was a KEy level of
Resistance so i dragged my tp right to the resistance. Looking to ride the trend.
i need to find a risk to reward
I need to stay patient
I need to stay disciplined
NVDACL trade ideas
NVDA: A Stoic Approach to a Losing Trade (The Second Breath)As we just discussed, a loss is not a failure; it's information.
This trade on NVDA is a perfect, real-time application of that Stoic and Douglas-inspired philosophy. The first attempt was stopped out for a small "paper cut" loss. The Stoics teach us to focus only on what we can control. We couldn't control the price hitting our first stop, but we can absolutely control our reaction.
Our reaction is not one of frustration, but of calm acceptance. We take the information the market gave us, remain balanced, and execute the next step of our plan.
The New Trade Plan
This second attempt is an action taken with more wisdom and an even better potential reward.
Style: Long / Re-Entry
Entry: Limit Order at $167.75
Stop Loss: A tight, strategically placed stop at $162.25 (3.28% risk)
Target: $192.50
Risk/Reward Ratio: Approximately 1 : 4.5
The #limitlessTrader's Mindset
The first trade was simply an exhale. This second trade is the next breath, taken with more clarity and from a place of balance. This is the process.
Just shine.
Disclaimer: This is not financial advice. It is for educational and informational purposes only. Please conduct your own research and manage your risk accordingly.
NVDA - Price ProjectionNVDA made a double top on 28/08/2025, since been making Lower Highs and Lower Lows. Althought its still just above SMA50. I see some downside in NVDA before a move up.
The question is where would I be a buyer?
I would inch in to buy for a swing trade at three levels:
- my first buy would be at around 157. This is at a long term trendline that goes back to Mar 2024
- my second buy would be 152.74. This a support level from previous double top
- my third buy would be between 147 and 148. This is a strong level and a confluence of two levels. There is gap fill at 147.90 and Fib retracement level of 38.2% at 147.55
Alternatively, my thesis will be invalid if NVDA close above 184.
Nvidia plummets ~3% afterhours! Buy the dip or sell the rally?Nvidia delivered another strong quarter, beating expectations on both revenue and EPS. However, shares dropped after hours to around $175, as data centre revenue narrowly missed forecasts and China sales remained absent due to regulatory uncertainty.
Technically, if NVDA breaks below $175, bears may target the $170 double bottom support in a dead-cat-bounce fashion, with a risk of further downside if that level fails. However, if the stock holds above $179 and reclaims $185, bulls could see a rally toward $193 and potentially $220 in the medium term, which could still materialise after a short-term decline toward $170.
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NVDA: Testing Key Support After Sharp Drop –Swing & Scalp Sep 171-Hour Chart Technical View
Nvidia’s 1-hour chart shows clear short-term weakness. After failing near $182.5, price has been trending down and now hovers around $175.15. MACD remains deep in negative territory and Stoch RSI is oversold, hinting at potential for a short-term bounce but no confirmed reversal yet.
* Immediate Support: $172.5 (high-volume node and HVL 09/19)
* Secondary Support: $170 and $166.5
* Resistance: $177.7 and $182.5 are key overhead levels for any rebound
Price is trading under both 9 and 21 EMA, confirming a short-term bearish structure until a clean reclaim above $177.7.
GEX & Options Flow
Options positioning highlights mixed sentiment with cautious call interest:
* Call Walls: $177.5 (2nd call wall), $182.5 (highest positive NET GEX / gamma resistance), and $185.
* Put Walls: $170 and $165 (significant downside hedges).
* GEX Bias: Around 23.5% calls with IVR at 5.7 (IVx ~40.8). This relatively low IVR shows option premiums are moderate despite the pullback.
Dealers may support the $172.5 area, but below that, gamma exposure flips bearish and accelerates downside risk.
Trade Thoughts & Suggestions
* Swing Idea: Aggressive buyers can nibble near $172.5 with a tight stop below $170, aiming for a relief bounce to $177.7–$182.5.
* Scalp Idea: Short bounces into $177.7 resistance if momentum stays weak, or scalp quick long entries off a confirmed double-bottom near $172.5.
* Bearish Scenario: A decisive break under $170 could accelerate selling toward $166.5.
Quick Take
NVDA is in a corrective phase. For Sept 17, all eyes are on $172.5. Holding that level can spark an oversold bounce; losing it could open the door to deeper downside.
Disclaimer: This analysis is for educational purposes only and does not constitute financial advice. Always do your own research and manage risk before trading.
What Is Beta in Stocks and How May It BeUsed?What Does Beta Mean in Stocks, and How May It Be Used in Risk Management?
Beta is a key measure of how a stock moves relative to the market, helping traders assess risk exposure and price volatility. Understanding this indicator can help traders analyse potential price swings and portfolio stability. This article explores how beta works, its implications, and how it may be used in risk analysis.
What Is Beta in Stocks and How Does It Affect Risk?
Beta is a statistical measure that quantifies how a stock’s price fluctuates relative to the broader market. It helps traders analyse systematic risk—the kind that affects most stocks at the same time, such as economic downturns or interest rate changes. The number itself comes from regression analysis, which compares a stock’s potential returns to a benchmark index like the FTSE 100 or S&P 500.
A beta of 1.0 indicates that a share generally tracks the movements of its benchmark index. If the index gains 5%, a stock with a value of 1.0 is likely to rise by about the same amount. A beta above 1 signals greater volatility—company shares with a beta of 1.8 may rise 9% when the market gains 5%, but they also tend to fall more sharply during downturns. A value below 1 suggests lower volatility, with the asset moving less than the broader index.
Interpreting Beta Values
Now, we will examine beta values in detail.
High Beta Stocks (>1.0)
These stocks react strongly to market changes. High beta is common in technology, consumer discretionary, and financials, where investor sentiment drives price movements. While they offer the potential for higher returns, they also come with increased price swings.
Low Beta Stocks (<1.0 but >0)
Lower beta stocks experience smaller movements compared to an index. A value of 0.6, for example, suggests it might rise 3% if the market gains 5%. Sectors like utilities, healthcare, and consumer staples often have these types of stocks, as demand for their products tends to remain stable, except in situations such as the COVID-19 pandemic.
Negative Beta Stocks (<0)
Some assets, such as gold mining company shares, have negative beta values, meaning they move in the opposite direction of the broader market. These assets can act as a hedge when markets decline, though a negative value is relatively rare.
While the beta of a stock provides insights into its volatility, it doesn’t account for company-specific risks or broader economic shifts. Investors often combine this form of analysis with fundamental and technical factors to build a more complete view of exposure.
How Traders Use Beta in Measuring Risk
Rather than examining price movements in isolation, traders use beta to evaluate how a stock reacts to broader trends. This helps them decide whether it aligns with their risk tolerance and market outlook.
Analysing Systematic Risk
Since beta measures sensitivity to the market, it’s useful for assessing systematic risk—the kind of risk that can’t be eliminated through diversification. A stock with a high beta will likely experience sharp swings during broader turbulence, making it appealing for those looking to capitalise on potential momentum but at the cost of greater volatility. In contrast, low-beta shares may hold up better in downturns but won’t rally as aggressively in bull markets.
Beta in Portfolio Construction
Investors often consider this metric when balancing a portfolio’s overall risk level. A portfolio heavily weighted in high-beta company shares can be more volatile, while one with low-beta stocks may offer less volatile potential returns. Some investors focus on diversified beta investing, combining high- and low-beta assets to adjust their exposure depending on overall conditions.
The Capital Asset Pricing Model (CAPM)
Beta is also a key component of the Capital Asset Pricing Model (CAPM), which estimates a stock’s expected return based on its risk level. CAPM considers the relationship between beta and market returns, helping to compare potential opportunities. If the asset is more volatile than an index but offers lower-than-expected rewards, it may not justify the added volatility.
The Limitations of Beta
Beta is a useful tool for assessing how a stock moves relative to an index, but it has shortcomings. Since it’s based on historical price data, it doesn’t always reflect how the asset will behave in the future. It’s important to be aware of its limitations when using it for risk assessment.
1. It Changes Over Time
Beta in a stock is not a fixed number. Company risk profiles can shift due to short-term developments, industry changes, or economic cycles, and impact a stock’s beta, meaning a stock with a value of 1.5 today might move closer to 1.0 over time as conditions evolve.
2. It Doesn’t Account for Company-Specific Risk
Beta measures systematic risk, meaning it doesn’t factor in aspects specific to a company, such as management changes, earnings surprises, or regulatory issues. Two stocks can have the same beta but react very differently to news.
3. High Beta Doesn’t Always Mean Greater Potential Returns
A stock with a beta of 2.0 might move twice as much as the market, but that doesn’t mean it will generate higher potential returns. If the asset consistently underperforms, its added volatility becomes a liability rather than an advantage.
4. Different Market Conditions Affect Reliability
Beta tends to be more stable in normal market conditions but can break down during extreme events, such as financial crises or sudden liquidity shocks. In times of panic, correlations between assets often increase, making the metric less useful for risk analysis.
Practical Examples of Beta in Action
Looking at beta in real-world scenarios helps illustrate how different stocks react. Two well-known examples are NVIDIA (NVDA) and Johnson & Johnson (JNJ), which have very different values.
NVIDIA (NVDA) – 1.76
According to Yahoo Finance, NVIDIA has a 5-year monthly beta of 1.76. This means its price is about 76% more volatile than the S&P 500. If the index gains 10%, NVIDIA’s stock could rise around 17.6%. However, in a downturn, it could fall by a similar magnitude. The tech sector is highly sensitive to market sentiment, innovation cycles, and economic conditions, making high-beta assets like NVIDIA riskier but also capable of higher potential returns.
Johnson & Johnson (JNJ) – 0.46
Johnson & Johnson has a 5-year monthly beta of 0.46 (source: Yahoo Finance), meaning it moves about 54% less than the market. If the index rises or falls 10%, JNJ stock might move by 4.6%. The lower value reflects the so-called stability of the healthcare industry, where consistent demand for products like medical devices and pharmaceuticals tends to lead to more resilient stock performance.
Key Takeaways
Those willing to take on more risk for higher potential returns often favour high-beta stocks like NVIDIA, while those seeking less volatility may prefer low-beta companies such as Johnson & Johnson. However, the measure ignores company-specific risks or specific short-term outperformance factors (e.g. positive earnings or product releases), and it is typically calculated over a long timeframe—5 years in this instance.
The Bottom Line
Understanding the beta definition and how it applies may help traders and investors assess a stock’s volatility. Whether they are focused on high-beta growth stocks or lower-volatility options, this metric may help traders refine their strategy. However, while it may provide useful insights, it should be used alongside other analysis methods for a well-rounded approach.
FAQ
What Does Beta Mean in Stocks?
The beta in stocks meaning refers to a measure of how much a stock moves relative to the broader market. A beta of 1.0 means it generally follows market movements, while a beta above or below 1 indicates higher or lower volatility, respectively.
What Are High Beta Stocks?
High-beta stocks have a beta greater than 1, meaning they tend to move more than the overall market. These assets often belong to technology, consumer discretionary, and financials, where price swings are more pronounced.
What Does a Portfolio Beta Measure?
Portfolio beta calculates the overall volatility of a portfolio relative to an index. It’s determined by weighting each stock’s beta based on its proportion in the portfolio. A portfolio with a value above 1 is more volatile than the market, while one below 1 is less volatile.
What Does a Stock With a Beta of 1.5 Indicate?
A stock with a beta of 1.5 is 50% more volatile than the market. If the index rises 5%, shares might increase by 7.5%, but it could also fall more sharply in downturns.
What Is β?
The symbol β is a Greek letter signifying beta. The beta meaning in finance refers to a stock’s expected performance relative to an index.
This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
NVDA ShortThe broader market structure on NVDA remains range-bound but with a slight bearish tilt after the recent Break of Structure (BOS) at 180.27, which confirmed sellers pushing price lower from the recent swing high. This BOS indicates short-term momentum favoring the downside, with price unable to reclaim the highs.
Looking at supply and demand, the most recent supply zone near 178–179 caused a sharp reaction and rejection, showing that sellers stepped in with strength. The nearest demand sits at 175–174.5, where buyers previously initiated a strong impulse that led to the most recent rally, making it a valid level to watch for a bounce. Deeper demand exists near 172, which aligns with a 50% retracement level and previously acted as the base of a major move higher.
Price action within the marked region shows that NVDA is currently pulling back from supply, with sellers pushing price lower and momentum slowing on the way down. The most likely next step is a retest of the 175 demand zone. If price reacts bullishly here with strong candles, we could see a bounce back toward 177–178. However, if demand fails to hold and we break below 174.50, continuation toward 172 becomes likely as price seeks deeper liquidity.
The trade bias is currently bearish until we see a strong bullish reaction from demand. Invalidation for shorts would be a clean reclaim and close above 178.50, which would shift structure back toward the upside and likely target 180 again. Momentum currently favors sellers, given the BOS and recent rejection from supply, and candles show lower wicks are minimal—indicating little absorption from buyers yet.
NVDA 1H + GEX Game Plan for Tue, Sep 16NVDA Coiling Under the 180 Gamma Wall — Break or Fade Day? 🚦
Market Structure (1H)
* Price rebounded from 172.5 and is compressing under a descending trendline drawn from ~180s.
* Momentum is turning up (MACD curling), but Stoch RSI is hot, so first touches into resistance can reject.
* Intraday balance likely between 172.5 ↔ 180 unless we get a clean break.
Key Levels
Resistance: 177.3–177.8 (intraday ceiling), 178.6, 180 (major wall), 182.5 (next wall), 185.
Support: 175.0, 172.5 (big pivot), 170.0, 167.5 (put wall), 165, 160.
GEX Read (Sep 16 session)
* Highest positive NETGEX / Call resistance: 180 (primary gamma wall).
* Additional call wall: 182.5.
* Put walls: 167.5 and 165.
* HVL / magnet: around 172.5.
* IVR ~3–4, IVx ~39 → options relatively cheap vs own history (careful with overtrading, but debit spreads price well).
* Participation skew light on calls (~25–26%): flow is neutral to slightly cautious.
Implication: Dealers likely keep NVDA pinned 172.5–180 unless flow shifts.
* Above 180: hedging can push to 182–182.5 → 185.
* Below 172.5: opens 170 → 167.5 (put wall magnet).
Trade Setups (use one, not all)
1) Bullish Breakout
* Trigger: 1H/15m close > 177.8 and hold above trendline; momentum stays positive.
* Entry: 178.0–178.2 on hold/retest.
* Targets: 179.8 → 180; runners 182–182.5.
* Invalidation/Stop: below 176.8 (back inside range).
* Options (conservative): 180/182.5 call debit spread (same-week). Take partial near 180; leave a runner only if 180 converts to support.
2) Fade the Wall
* Trigger: Spike into 179.8–180.2 and stall (lower TF rejection / bearish wick).
* Entry: scale in on the rejection.
* Targets: 177.5 → 175.5.
* Invalidation/Stop: above 181.2.
* Options: 180P or 177.5/175 put debit spread (same-week). Quick take-profits into 177–175.
3) Breakdown From Pivot
* Trigger: Clean 1H break < 172.5 with a retest that fails.
* Entry: 172.2–172.4 on failed retest.
* Targets: 170.5 → 167.8 (≈ put wall 167.5).
* Invalidation/Stop: back above 173.3.
* Options: 172.5/170 put debit spread, leave a runner toward 167.5 only if momentum accelerates.
Scalper’s Notes
* First test of 177.8–178.6 likely reacts. If buyers absorb, flip to breakout bias.
* If we gap near 175–176, watch for a quick liquidity sweep toward 172.5 → bounce back into range.
* VWAP/EMA retests that hold above 177.8 favor a push to 180; fails below 175 lean back to 172.5.
Swing Context (1–3 days)
* Still a lower-highs channel until 180/182.5 is reclaimed.
* Reclaim and hold ≥180 turns the path toward 185 this week.
* Lose 172.5 on a daily close and the door reopens to 170 → 167.5.
Risk & Management
* Keep risk tight at the edges; don’t chase inside the 175–177 chop.
* For spreads, size so a full debit loss is acceptable; scale out at first target.
* If IV expands into the move, take profits faster on long options.
This analysis is for education only, not financial advice. Manage risk and trade your plan.
Tech giants ignite the market: NVIDIA — $4.3T, Oracle +40%...As of September 2025, #NVIDIA’s market capitalization is estimated at about $4.313 trillion, making #NVIDIA the most valuable publicly traded company in the world by market cap.
Across big tech, the backdrop has turned decisively positive: #Oracle shares have surged 40% on accelerating cloud revenue and AI contracts; #Apple unveiled a new device lineup led by iPhone 17; and #Google continues to climb on progress in AI tools, ad tech, and cloud services. Together, these catalysts are lifting demand for AI infrastructure and ecosystem services, reinforcing network effects between hardware vendors, platforms, and developers.
Key growth drivers for IT giants in 2025:
#Oracle — faster cloud revenue, major AI contracts, and expanded data-center infrastructure sparked a sharp 40% jump in the stock.
#Apple — the launch of iPhone 17 and an updated device lineup strengthens ecosystem cash flows, driving upgrade cycles and service monetization and supporting a positive re-rating of the shares.
#Google — gains in advertising and cloud alongside the rollout of generative AI, improvements in search and commerce products, and cost optimization for inference.
#NVIDIA — new chips and architectures (including Blackwell) cement leadership in AI compute, while data-center expansion and the MLOps stack support a robust order backlog.
Institutional demand — inflows into AI-themed funds and ETFs, plus strategic partnerships by corporations and governments, are sustaining premium sector valuations and fueling a broadening cycle of spend on AI infrastructure, devices, and platform services.
According to FreshForex, a prolonged AI demand cycle and scaling potential create conditions for further share-price appreciation. The parallel surge in #Oracle , product updates from #Apple , and #Google’s rally keep the spotlight on the sector and bolster expectations for AI-driven earnings — from chips to devices and cloud — while #NVIDIA’s lead in next-gen architectures secures its role as a key beneficiary of the trend.
The NVDA Trade: The Tactical Case for an NVDA RetracementNVIDIA's price has been confined within a well-defined ascending channel, with its upward trajectory governed by a diagonal support trendline and its upside limited by a confluence of resistance. The stock's recent attempts to advance have been definitively rejected by this overhead resistance zone, signaling a lack of sufficient buying pressure at current price levels.
The Trading Hypothesis
The primary thesis is that the price will re-engage with and test the strength of the lower diagonal support trendline one final time. The failure to decisively break the dual overhead resistance marks a key moment, suggesting that a retracement is necessary to reset market conditions and establish a more stable foundation for a future rally.
This projected move involves a retracement back to the lower boundary of the existing channel. The price action here will be critical. Should this diagonal support fail to hold—a high-probability scenario given the recent rejections at resistance—it would trigger a breakdown of the prevailing uptrend.
This breakdown would likely initiate a more substantial corrective wave, driving the price toward the next major horizontal support level. This lower support line, identified on the chart, represents a key demand zone where new long-term buyers may step in, providing the necessary liquidity to halt the decline and potentially form a new base.
Entry Point: The Red Arrow
The red arrow on the chart signifies the optimal entry point for initiating a short position.
Exit Point: The Green Arrow
The green arrow marks the strategic exit point for the short position. This level is defined by the next major horizontal support line
NVDA ShortThe broader market structure on NVDA remains bearish, with price putting in lower highs since failing to hold above $180.27. The recent Change of Character (CHoCH) around $164.08 marked a significant shift to bullish momentum, but the market failed to create a clean higher high above $180, leaving the larger bearish structure intact. This failure to break structure to the upside suggests we may be seeing distribution forming at the current levels.
Supply is sitting just above current price in the $178–179 range, where price previously rejected sharply and formed a consolidation top. This is a strong supply zone since sellers stepped in aggressively the last time price was here. Below, there is a well-defined demand zone between $167–164, where buyers stepped in with strength and caused a sharp rally. However, the rally lost steam as it approached supply, which indicates that demand may not be strong enough to absorb another large selloff.
Price action in the marked region is consolidating just below supply, showing choppy, sideways behavior. This is often a sign of absorption before a potential breakdown. If price rejects this supply zone and breaks below intraday support, we could see a move down toward $168, and possibly deeper into the lower demand zone.
The current trade bias is bearish, with an expectation of continuation to the downside after supply rejection. A sustained move and close above $180.50 would invalidate this view and signal potential continuation higher. Momentum is favoring sellers, as price has struggled to break above resistance despite multiple attempts, and wicks on the top side indicate rejection.
NVIDIA Stock Near Support, Bullish Trend AheadNVIDIA stock is currently trading in close proximity to a critical technical support level. This positioning comes within the context of a firmly established and ongoing bullish trend, characterized by a consistent pattern of forming higher highs and higher lows on its price chart. This sequential upward movement is a classic and powerful technical indicator, suggesting that buying pressure continues to outweigh selling pressure at each successive market cycle.
The prevailing market sentiment and technical structure suggest that this upward momentum is likely to persist in the upcoming trading sessions. Based on this constructive chart pattern, analysts project a potential ascent towards a significant target on the higher side, with the market poised to challenge the $183.00 per share level. This represents a key resistance point that, if breached, could signify a continuation of the bullish phase.
Conversely, on the lower side, the $164.00 price level is identified as a crucial support zone. This is the floor that bulls are expected to defend vigorously to maintain the current positive trajectory. A decisive break below this support could potentially invalidate the near-term bullish outlook, making it a essential level for risk management. Therefore, while the bias remains tilted towards the upside with a clear target in sight, the $164.00 support acts as a vital demarcation line for the trend's integrity.
Origins and Causes of the US–China Trade WarIntroduction
The trade war between the United States and China has become one of the most defining economic conflicts of the 21st century. It is not merely about tariffs or trade imbalances but represents a broader clash of economic models, political systems, and global ambitions. To truly understand why this trade war began, one must look beyond the headlines and consider the deep historical, economic, and geopolitical contexts that shaped U.S.–China relations over the past five decades.
The U.S.–China trade war formally erupted in 2018 under President Donald Trump’s administration, but its roots stretch back much further—to China’s economic reforms in the late 1970s, the U.S. decision to integrate China into the global trading system, and the growing perception in Washington that Beijing’s rise posed both economic and strategic challenges. The conflict was therefore the culmination of decades of tensions regarding trade deficits, intellectual property theft, industrial subsidies, and the role of state power in shaping markets.
This essay explores the origins and causes of the U.S.–China trade war in detail, examining historical background, economic dynamics, political factors, and the deeper strategic rivalry that underpins the confrontation.
1. Historical Context of U.S.–China Trade Relations
1.1 Early Isolation and Opening Up
For much of the 20th century, China was economically isolated. Following the Communist Revolution in 1949, China adopted a centrally planned economic system with little interaction with global markets. The U.S. had minimal trade with China, especially during the Cold War, when the two countries were ideological and geopolitical rivals.
Everything began to change under Deng Xiaoping’s economic reforms in 1978. China began opening up to foreign trade and investment, allowing special economic zones and market-driven policies. American companies saw enormous opportunities in China’s cheap labor and expanding consumer base.
1.2 Rapprochement and Normalization
The normalization of diplomatic relations in 1979 under President Jimmy Carter paved the way for commercial ties. Over the 1980s and 1990s, trade grew rapidly, and the U.S. increasingly viewed China as both a manufacturing hub and a market for exports.
1.3 WTO Accession and Its Consequences
A crucial turning point came in 2001, when China joined the World Trade Organization (WTO). The United States supported China’s accession, believing it would liberalize China’s economy, reduce state intervention, and bring Beijing closer to Western norms of free markets.
Instead, China used WTO membership to expand its export-led growth strategy. Its manufacturing capacity boomed, and U.S. companies moved large parts of their supply chains to China. While this benefited U.S. corporations and consumers with cheap goods, it also contributed to job losses in American manufacturing, fueling political resentment.
2. Economic Causes
2.1 U.S. Trade Deficit with China
One of the most visible triggers of the trade war was the massive trade imbalance. By the mid-2010s, the U.S. trade deficit with China exceeded $375 billion annually. Washington saw this as evidence of unfair practices, while Beijing argued it was the natural result of global value chains where final assembly took place in China.
2.2 Intellectual Property Theft and Technology Transfer
American firms long complained about forced technology transfer, intellectual property (IP) theft, and restrictions on market access. U.S. companies operating in China often had to form joint ventures with local firms, effectively handing over proprietary technology. Additionally, cyber espionage campaigns allegedly backed by the Chinese state targeted American corporations to steal industrial and military secrets.
2.3 Industrial Policy and State Subsidies
China’s economic model is built on significant state involvement in industry. Programs like “Made in China 2025”, launched in 2015, aimed to establish dominance in high-tech sectors such as semiconductors, robotics, and artificial intelligence. The U.S. saw these policies as unfair because Chinese firms received state subsidies, cheap loans, and protection from competition, giving them an edge over foreign rivals.
2.4 Currency Manipulation Accusations
For years, U.S. policymakers accused China of artificially undervaluing its currency (the yuan) to make exports cheaper and imports more expensive, thereby boosting its trade surplus. While this practice diminished after 2010, the perception remained influential in Washington’s decision-making.
3. Political and Strategic Causes
3.1 U.S. Domestic Politics and Populism
By the 2010s, public opinion in the U.S. had shifted. The loss of manufacturing jobs was often attributed to globalization and specifically to trade with China. Politicians began campaigning on promises to bring jobs back and stand up to Beijing. Donald Trump, elected in 2016, tapped into this sentiment with his “America First” agenda.
3.2 Rising Chinese Ambitions
China’s rapid economic rise also translated into greater global influence. The Belt and Road Initiative (BRI), military modernization, and technological leadership ambitions challenged U.S. dominance. Washington grew concerned that China was not just a trading partner but a strategic competitor seeking to reshape global power structures.
3.3 Clash of Economic Models
At the core of the conflict lies a fundamental clash of economic philosophies. The U.S. system emphasizes free markets, private enterprise, and limited government intervention, while China relies heavily on state capitalism and party-driven industrial policy. This structural difference fueled mistrust and accusations of unfair competition.
3.4 National Security Concerns
Trade and technology are increasingly intertwined with national security. The U.S. worried that dependence on Chinese supply chains—particularly in areas like telecommunications (Huawei, 5G), semiconductors, and rare earth minerals—posed security risks. Restrictions on Chinese technology firms were thus framed not only as trade issues but also as matters of national defense.
4. Escalation into a Trade War
4.1 Trump’s Tariff Strategy
In 2018, President Trump imposed tariffs on Chinese imports worth billions of dollars, citing Section 301 of the U.S. Trade Act of 1974. China retaliated with its own tariffs on U.S. goods, particularly targeting politically sensitive industries like agriculture.
4.2 Negotiations and Breakdown
Although several rounds of negotiations were held, fundamental differences remained unresolved. The U.S. demanded structural reforms in China’s economy, while Beijing refused to abandon state-led policies it considered essential for development.
4.3 Global Economic Fallout
The trade war created uncertainty in global markets, disrupted supply chains, and led to slower economic growth worldwide. Multinational corporations had to rethink sourcing strategies, with some shifting production to countries like Vietnam and Mexico.
5. Deeper Structural Causes
5.1 Thucydides Trap and Power Transition Theory
Some scholars frame the trade war as part of the “Thucydides Trap”—the idea that when a rising power (China) threatens to displace an established power (the U.S.), conflict becomes likely. From this perspective, the trade war is just one manifestation of a broader rivalry for global supremacy.
5.2 Technological Dominance as the New Battleground
The real competition is not about traditional manufacturing but about who leads in emerging technologies—AI, 5G, quantum computing, and biotech. The U.S. fears losing its edge to China, which invests heavily in these areas with state backing.
5.3 Globalization Backlash
The trade war also reflects a broader backlash against globalization. In the U.S., many communities felt left behind by outsourcing and global supply chains. The trade conflict thus became a way to politically channel domestic frustrations.
6. Conclusion
The U.S.–China trade war did not arise overnight. It was the product of decades of economic integration combined with unresolved tensions over trade imbalances, intellectual property, state subsidies, and market access. At its core, the conflict represents not just a dispute over tariffs but a struggle between two economic systems and visions of world order.
The United States seeks to preserve its global dominance and protect its industries, while China aims to secure its rise as a technological and geopolitical power. The trade war is therefore less about soybeans and steel and more about the future of global leadership.
Whether the two countries can find a sustainable coexistence will shape not only their bilateral relationship but also the trajectory of the world economy in the decades ahead.
Trend Reversal (Drummond Geometry)Trend Reversal 🔄 Spot and trade sharp market reversals using Drummond Geometry.
1. What It Is
A trend reversal is a sharp, sudden change in market direction.
Defined as 3 consecutive closes on one side of the PL Dot immediately following a trend in the opposite direction.
Can also occur from congestion , so always be open to reversal setups
First image shows the congestion entrance bar
Second image shows the bars that have a close on the same side of the PLdot, thus confirming a a trend-up
Third image shows the immediate shift (reversal)
And finally the trend down
2. Market Context
The market alternates between trend runs and congestion .
Bars are categorized as:
Trend bars : 3 closes on the same side of the PL Dot.
Congestion entrance : A close on the opposite side of the PL Dot after a trend.
Congestion action : Oscillations back and forth across the PL Dot.
Congestion exit : Trend emerging from congestion.
3. Signs of a Trend Reversal
PL Dot pulls back into bar range.
A 5-9, 5-2, 5-1, or 6-1 line appears in the preceding bar.
Resistance/support against the old trend holds; levels in the new trend direction break.
The original block level may be violated (not mandatory).
4. The Cornerline
A diagonal line linking the isolated high/low of congestion entrance with the trend reversal bar .
It’s the bar that confirms a sharp directional shift.
Specifically, it’s the first bar to close on the opposite side of the PL Dot after a trend, followed by two more bars closing on that side (making the full reversal pattern).
It often violates the original block level from the previous trend (though that’s not required).
This bar is linked with the congestion entrance bar via the cornerline—a key diagonal that helps confirm if the reversal has real strength.
So, think of it as the pivot bar that kicks off the new trend, showing that momentum has flipped hard enough to change market structure.
Rarely broken in a true reversal.
High-energy reversals influence all following congestion structure.
5. Anticipation Tips
Watch focus time period (FTP) within higher time period (HTP) envelopes.
Daily reversals often align with:
Daily congestion entrance signs.
Monthly cycles or c-waves pushing weekly structure.
PL Dot pressure at higher levels.
📌 Trader’s Edge:
Trend reversals are fast, decisive moves often starting from strong HTP energy zones. Look for PL Dot pullbacks, strong block levels, and cornerlines to confirm. Once validated, they can define the next major swing or cycle.
$NVDA rolling over. $SMH looks vulnerableSemis have been the toughest pillar of this bull market. The Semis ETF NYSE:SM has been making new highs and new lows with occasional consolidation. NASDAQ:NVDA has been instrumental in the dominance of NASDAQ:SMH in most of the thematic ETFS. The ratio chart $NVDA/ NASDAQ:SMH is also showing signs of weakness and rolling over hard. Last time NASDAQ:NVDA lost momentum it fell 40%. Will the history repeat? History usually rhymes. So, when we see weakness in the largest stock in SP:SPX the indices will also roll over. The momentum weakness is visible in the RSI.
If we believe that the previous highs act as support, then we can expect the stock to drop to 150 $. This aligns with the 1.0 Fib retracement level. This can mark a 17% downturn from here. The next support is around 120 $. That will mark a 33% pull back which is not unusual for $NVDA. But these price level will be great accumulation point for the stock. The consolidation in NASDAQ:SMH and NASDAQ:NVDA was predicated by me on Aug 3. But our long-term target remains intact with NASDAQ:NVDA @ 250 and NASDAQ:SMH @ 315.
Verdict: NASDAQ:NVDA and NASDAQ:SMH looks vulnerable here. Price consolidation more likely providing good entry points in $NVDA. Long term target still holds.
You wanna bet against NVDA? Go ahead. Not me, though.This is now my 7th idea for NVDA. It's been a while, and I don't really know why. I guess maybe it seems tiresome posting ideas about the same stocks over and over again. But you know what isn't tiresome? Making money on those same stocks over and over again.
The yellow circles represent the entries for my previous ideas. Those trades were made during one of the worst 4 month stretches for NVDA in a LONG time. It lost about 19% for buy and holders during that time. I won't make you go back and data mine the results of my trades in that span. Here are all 12 lots I traded in those 6 ideas:
+8.1% in 6 trading days
+9.90% in 5 trading days
+14.50% in 3 trading days
+4.89% in 1 trading day
+0.74% in 1 trading day
+0.50% in 1 trading day
+1.80% in 1 trading day
+2.30% in 2 trading days
+3.40% in 1 trading day
+8.80% in 1 trading day
+2.60% in 9 trading days
+12.31% in 4 trading days
I trade equal dollar lot sizes so those 12 trades produced a total non-compunded return of just under +70% WHILE the stock was falling 19%. That's not self-promotion, that's a prelude to what comes next.
I'm not afraid of the stock dropping from here. If I was, I would not make the trade. The reality is that the way I trade actually works better when stocks move sideways or are falling than when they are in strong uptrends. Since April, my algo has only generated 5 signals on NVDA. I've only traded 2 of them before this, but all 5 are marked with white arrows. Add those to the ones from previous ideas and we are looking at a total gain of +92% or so since November.
While the most recent signal prior to this one is a loser SO FAR, it actually presents a better opportunity. Historically, the returns on the 2nd entry (adding to an existing trade) are MUCH better than the initial entry returns. Luckily, I didn't trade that most recent signal, so I get to try to grab more juice with less squeeze.
I won't lie, if employment falters after that inflation read we got today, it could be the beginning of a rough period for stocks. But I also know that virtually nobody can predict macro with any degree of success, least of all me. I'd also rather hitch my wagon to NVDA than to the vast majority of stocks in a generally overpriced market.
Add to all that the fact that they are pulling in over $500m a DAY in revenues, roughly 50% more than a year ago - and Wall St. is sad about that, apparently.
The stock also is resting RIGHT on near term support and there is more close by, which makes me take this trade enthusiastically. A word of caution, though. If the whole market goes down, NVDA will too and that could lengthen the time it takes to close here. I only trade the stock, so time isn't really an issue for me. For someone trading short dated options, it would be a disaster if this runs for a while.
My long entry price is 174.18 at the close today. I can and will add to the position tactically if good opportunities present themselves and I will update this idea whenever I add or sell lots.
As always - this is intended as "edutainment" and my perspective on what I am or would be doing, not a recommendation for you to buy or sell. Act accordingly and invest at your own risk. DYOR and only make investments that make good financial sense for you in your current situation.
NVIDIA: Rally Stalling?After Nvidia initially drew closer to our beige Target Zone between $150.09 and $139.58, the stock was recently pushed higher once again. Therefore, we still see a 40% chance that a new high for beige wave alt.III could emerge above resistance at $184.11. However, our primary view is that price has already entered wave IV, which should extend downward into the aforementioned beige zone. Since we expect a strong rally during wave V, this price range presents an attractive entry point for long positions, with a stop that can be set 1% below the lower boundary of the zone. Looking ahead, beige wave V should extend up to the blue Target Zone between $227.38 and $260.60, where it should complete the larger waves (V) in blue and in lime green.
NVDA 2HourTime frameNVDA 2-Hour Snapshot
Current Price: $170.76 USD
Previous Close: $168.31 USD
Day Range: $166.74 – $170.97 USD
52-Week Range: $139.34 – $200.00 USD
Volume: 170,370,750
VWAP: $169.67 USD
Market Cap: $1.1 Trillion
🔎 Technical Indicators
Relative Strength Index (RSI): 39.44 — Neutral
Moving Averages:
5-period: $169.68 — Sell
10-period: $174.59 — Sell
20-period: $177.06 — Sell
50-period: $172.58 — Sell
100-period: $150.61 — Buy
200-period: $139.34 — Buy
Moving Average Convergence Divergence (MACD): -0.91 — Buy
Stochastic Oscillator: 20.33 — Neutral
Commodity Channel Index (CCI): -119.52 — Buy
Average True Range (ATR): 4.93
📈 Market Sentiment
Pivot Points:
Resistance: $175.00 USD
Support: $165.00 USD
📅 Outlook
Bullish Scenario: A breakout above $175.00 USD could signal a move toward $185.00 USD.
Bearish Scenario: A drop below $165.00 USD may lead to further downside.
Overall Bias: Neutral, with mixed signals from moving averages and momentum indicators.
Nvidia (NVDA) 2025+ Catalysts Updated: Analyst Views September🚀 Nvidia (NVDA) 2025+ Catalysts & Risks: Analyst Views — Updated September 2025
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📝 Summary Outlook (September 2025)
Nvidia remains at the center of the global AI boom, with dominant GPU share, a strengthening networking/software moat, and multi-year sovereign and enterprise buildouts driving demand. Q2 FY26 confirmed strong momentum, while Q3 guidance points to continued growth. The main risks lie in tariff policy, China licensing, supply chain tightness, and valuation sensitivity. Street consensus remains bullish, with targets in the $207–$211 range and a Strong Buy bias.
🔑 Key Catalysts Driving Nvidia’s Stock Growth (2025+)
1. 🏆 AI Chip Dominance — Score: 10/10
Nvidia still commands ~90%+ of data-center AI accelerators, with CUDA/NVLink lock-in keeping switching costs high.
2. 🏗️ Surging Data Center Demand — Score: 10/10
Hyperscalers remain in an AI “build” cycle. 2025 data-center CapEx is approaching ~$300B, with Nvidia reporting record $41.1B Data Center revenue in its latest quarter.
3. 🌐 Enterprise & “AI Everywhere” Adoption — Score: 8.7/10
Companies across industries are rolling out AI assistants, copilots, and retrieval-augmented applications; Nvidia benefits via GB200 NVL72 racks and RTX-based inference at the edge.
4. 🤝 Strategic/Channel Partnerships — Score: 8.9/10
Cisco is integrating Spectrum-X into networking solutions, while HPE has expanded its Nvidia “AI factory” offerings—broadening reach into enterprise and hybrid AI buildouts.
5. 🚗 Automotive & Robotics — Score: 8.4/10
Auto revenue grew ~70% Y/Y; DRIVE Thor shipments have begun, and Nvidia’s Jetson/AGX Thor and robotics platforms are expanding into industrial automation.
6. 🧑💻 Software & Subscriptions — Score: 8.6/10
Nvidia’s AI Enterprise, DGX Cloud, CUDA-Q, and TensorRT deepen recurring, high-margin revenue and increase developer lock-in.
7. 🌎 Omniverse, Digital Twins & Industrial AI — Score: 8.2/10
Ansys, Siemens, and other industrial software vendors are embedding Omniverse into simulation suites, accelerating adoption of “digital twins” and simulation AI workflows.
8. 🛜 Networking & Photonics — Score: 8.8/10
Spectrum-X Photonics enables co-packaged optics for exascale “AI factories,” improving bandwidth and efficiency while giving Nvidia more end-to-end control.
9. 🧪 Relentless Roadmap (Blackwell → Rubin) — Score: 9.0/10
Blackwell Ultra is ramping into 2025, with the Rubin architecture slated for 2026—sustaining Nvidia’s upgrade cycles.
10. 🌍 Sovereign & Global AI Buildouts — Score: 8.5/10
Europe, the Middle East, and India are launching sovereign AI projects. Saudi-backed Humain alone has committed to tens of thousands of Blackwell chips for 2026 buildouts.
________________________________________
📈 Latest Analyst Recommendations (September 2025)
• Street Stance: Strong Buy/Overweight remains dominant. ~85% of analysts rate NVDA a Buy; avg 12-mo PT ~$207–$211.
• Recent Calls: Multiple firms reiterated Overweight/Buy, with price targets up to $230.
• Common Bull Case: Nvidia’s accelerator lead, software moat, sovereign/enterprise AI pipeline, and expanding networking portfolio.
• Common Cautions: Premium valuation, competition from custom silicon, and export/tariff risk.
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🗞️ Latest Events & News (Aug–Sep 2025)
• Q2 FY26 results (reported Aug 27, 2025): Revenue $46.7B (+56% Y/Y); Data Center $41.1B; Blackwell shipments +17% Q/Q; buyback program boosted by $60B.
• Q3 FY26 guidance: ~$54B (±2%) revenue.
• Networking push: Spectrum-X Photonics unveiled; Cisco partnership expanding enterprise deployments.
• Omniverse OEM deal: Ansys to embed Omniverse tech within its simulation platforms.
• Sovereign AI momentum: Saudi Humain centers to deploy 18k+ Blackwell chips starting 2026; UAE and India also ramping large-scale AI initiatives.
• Ecosystem investing: Nvidia continues selective investments in AI startups, strengthening CUDA adoption.
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🇺🇸🇨🇳 US–China Tariffs & Export Controls — September 2025 Update
• Tariff truce extended (Aug 2025): Current tariffs remain at ~30% U.S. on Chinese imports and ~10% reciprocal from China. Next decision point: Nov 10, 2025.
• Supreme Court review: The Court will hear a case challenging U.S. executive authority on tariffs this fall.
• China export licensing: U.S. has begun granting licenses for Nvidia’s H20 China-compliant GPUs. Advanced Blackwell exports remain restricted without further approvals.
Impact on Nvidia: Truce reduces near-term disruption, but future tariff or licensing changes remain key risks. China sales are limited to compliant GPUs with lower margins.
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⚠️ Key Negative Drivers & Risks (Updated)
1. 🇨🇳 US–China Tech Policy
Tariff truce is temporary; licensing decisions and court rulings keep China exposure uncertain.
2. 🏛️ Regulatory/Legislative Overhang
Proposals like the GAIN AI Act could impose stricter controls on exports and prioritize domestic deployments.
3. 🏭 Supply Chain Bottlenecks
Advanced packaging and HBM memory remain tight despite expansions—potential bottlenecks for shipments.
4. 🧮 Competitive Threats & Custom Silicon
AMD, Intel, and hyperscaler-designed accelerators continue to advance, potentially eroding Nvidia’s hyperscale share.
5. 🏷️ Valuation & Expectations
Nvidia trades at high multiples; any slowdown or guidance miss could trigger volatility.
6. 💵 Customer Concentration
Top cloud giants still account for a large share of revenue; CapEx pauses or custom chip adoption would materially impact results.
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Nvidia Stock Chart Fibonacci Analysis 090925Trading Idea
1) Find a FIBO slingshot
2) Check FIBO 61.80% level
3) Entry Point > 168/61.80%
Chart time frame:B
A) 15 min(1W-3M)
B) 1 hr(3M-6M)
C) 4 hr(6M-1year)
D) 1 day(1-3years)
Stock progress:A
A) Keep rising over 61.80% resistance
B) 61.80% resistance
C) 61.80% support
D) Hit the bottom
E) Hit the top
Stocks rise as they rise from support and fall from resistance. Our goal is to find a low support point and enter. It can be referred to as buying at the pullback point. The pullback point can be found with a Fibonacci extension of 61.80%. This is a step to find an entry-level position. 1) Find a triangle (Fibonacci Speed Fan Line) that connects the high (resistance) and low (support) points of the stock in progress, where it is continuously expressed as a Slingshot, 2) and create a Fibonacci extension level for the first rising wave from the start point of the slingshot pattern.
When the current price goes over the 61.80% level, that can be a good entry point, especially if the SMA 100 and 200 curves are gathered together at 61.80%, it is a very good entry point.
As a great help, TradingView provides these Fibonacci speed fan lines and extension levels with ease. So if you use the Fibonacci fan line, the extension level, and the SMA 100/200 curve well, you can find an entry point for the stock market. At least you have to enter at this low point to avoid trading failure, and if you are skilled at entering this low point, with the fibonacci6180 technique, your reading skill of to chart will be greatly improved.
If you want to do day trading, please set the time frame to 5 minutes or 15 minutes, and you will see many of the low points of rising stocks.
If you prefer long-term range trading, you can set the time frame to 1 hr or 1 day