Weekly insighta EUR/USD S&P500 NVDA METAThis video is a weekly insights report from a financial trader on TradingView. I amdiscussing my analysis and predictions for several financial instruments based on technical and fundamental indicators.
Key Points:
Market Overview: The speaker talks about the impact of recent US unemployment data on the market, which led to a "parabolic" rise in the Euro dollar.
Euro Dollar: Based on a technical analysis of an "expanding diagonal" and an old trend line, the speaker believes a false breakout is likely. They plan to avoid trading USD pairs for the next 11 days, waiting for the Fed's interest rate decision.
S&P 500: The speaker notes a five-wave Elliot wave pattern with an expanding diagonal. They are waiting for the price to break below a trend line and a red confirmation line before considering a short position. They anticipate a "choppy" market for the coming week.
Nvidia: The speaker received "hate comments" for their previous analysis of Nvidia. They stand by their short position, citing a break below the exponential moving average, a "huge" divergence on the monthly chart, and a "shooting star" candle pattern. They note that Nvidia is the heaviest stock in the S&P 500, representing 7.5% of the index.
Bitcoin: The speaker points out that Bitcoin's price has crossed and retested two moving averages, which they see as a bearish sign. They will consider a short position if the price breaks below the previous low. They also expect Bitcoin to be stagnant in the coming week while the market waits for the Fed's decision.
Call to Action : The video concludes with a plea for viewers to subscribe to the speaker's TradingView channel for more trading insights and short-trade opportunities.
APPL
The key is whether the price can rise above 240.55 and hold
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(AAPL 1D chart)
The basic trading strategy is to buy in the DOM(-60) ~ HA-Low range and sell in the HA-High ~ DOM(60) range.
However, if the price rises from the HA-High to DOM(60) range, a step-like uptrend is likely, while if it falls from the DOM(-60) to HA-Low range, a step-like downtrend is likely.
Therefore, the basic trading strategy should be a segmented trading strategy.
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The HA-High to DOM(60) range on the current 1D chart is 229.27-232.78.
Therefore, if the price remains above the 229.27-232.78 range, a step-like uptrend is highly likely.
However, looking at the chart overall, the 226.67-240.55 range corresponds to the HA-High indicator.
Therefore, it is necessary to check for support within the 226.67-240.55 range.
If it rises above 240.55, it is expected to attempt to rise to the 250.42-260.10 range.
The 250.42 and 255.59 levels correspond to the DOM(60) indicator on the 1M chart and the DOM(60) indicator on the 1W chart, respectively.
Therefore, to sustain the mid- to long-term uptrend, the price must rise above 250.42-255.59 and maintain its position.
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Based on the basic trading strategy mentioned earlier, this is currently within the range for a partial sell-off.
Buying in this range requires a short and quick response, so be cautious.
Buying is possible when the 226.67-240.55 range shows support.
If it falls below 226.67, cut your losses and wait to see how the situation develops.
If the price falls below the M-Signal indicator on the 1M chart and remains there, there's a possibility of a medium- to long-term downtrend, so a countermeasure is needed.
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The HA-Low indicator on the 1D chart is currently at 192.31.
This point is located within the previous all-time high (ATH) range of 182.94-199.62, making the 182.94-199.62 range an important support area.
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(1M chart)
The area highlighted by the circle represents an important area.
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Thank you for reading to the end.
I wish you successful trading.
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APPL Premarket setupAAPL Setup:
Bias: Bullish → Needs confirmation
Watching price action after open (first 15m candle)
CALL Setup
Break & Hold Above: 233.41 (PDH)
TP1: 234.14
SL: 232.40
Additional Confirmation: 9 & 21 EMAs stays above 50 EMA
No-Trade Zone:
Between 232.76 (PMH) and 231.26 (PML)
Expect chop / fakeouts here — wait for clean break & retest
PUT Setup
Break & Close Below: 231.26 (PML)
TP: 230.59 (200 EMA)
SL: 231.60
Additional Confirmation: 9/21 cross back below 50 EMA
Wait for structure. First 15m sets tone.
APPL striking for 247$; First 237$ must be brokenAfter breaking the top line of symmetrical triangle, APPL has surpassed 225$ and is heading toward the next resistance line at 237$. As it can be seen on the chart, It's probable that 237$ can be broken and APPL can reach 247$ on daily timeframe.
But first I believe it will bounce back from 237$ to 225$ and its bullish trendline to start the major bullish trend.
XLK Relative Strength – Leaders Extended, Rotation Risk BuildingXLK has been one of, if not the strongest sectors on a relative basis since bottoming at the end of March. Despite its relative strength, top SXLK holdings are into areas where profit-taking looks to be occurring, and a rotation out may be taking place (see Weekly Supply zone on RS chart 0.4157-0.4199).
This comes as NASDAQ:NVDA , NASDAQ:MSFT , NASDAQ:AVGO , and NASDAQ:INTU are into -0.236 fib. extensions. NYSE:ORCL and NASDAQ:PLTR show a similar picture, with NYSE:ORCL reaching the 1.618 extension, while NASDAQ:PLTR failed to reach its 1.618 extension at $162.05.
Weak:
$APPL, NYSE:CRM , NYSE:IBM , and NYSE:NOW are among the weakest performers. If $APPL doesn’t hold around $200.00, look for it to slump to the $170.00 area.
Trades:
Look for NASDAQ:AMAT to hold around $169.46 for a move to $205.06 (Weekly Supply) or $243.40 (Monthly supply). If NASDAQ:AMAT fails to hold the $169.46 print, expect a move to $156.75.
Look for NASDAQ:QCOM to hold $145.20 (Weekly) for a move to the $172.23 area (Weekly Supply).
Look for NASDAQ:ADBE to hold $329.30 for a move to $449.40 (could top out around $417.30 depending on buying volume).
Look for NYSE:ACN to hold $250.00 (Weekly), or I like it better a $218.32 (Monthly Demand).
Featured Chart:
Look for NYSE:APH to hold $100.71 (Daily close on 07/23) for a move up to $116.00-$116.50 area. If NYSE:APH fails to hold around the $100.00 mark, I’d expect a move below $95.00.
AMEX:XLK move down to $240.38?
Let me know your thoughts for or against any of these names in the comments.
XETR:AMEX :
Wall Street takes off: 5 secret growth engines for #S&P500 Record closes for the indices on July 21 came from a powerful combo: a surge in #Google , a strong start to the earnings season, gains in #Apple (+0.6%), #Amazon (+1.4%), plus #Microsoft, #Meta Platforms, and #Nvidia . This momentum, coupled with market bets on imminent Fed rate cuts and hopes for a softening US-EU tariff conflict, pushed #S&P500 and #NQ100 to new all-time highs.
5 mega drivers that could keep #S&P500 and #NQ100 on the runway through 2025:
• AI capex and monetization: Top cloud providers are ramping up spending in computing clusters and generative AI solutions. The growing lineup of paid AI products (Google Gemini, Microsoft Copilot+ Apps, Amazon Bedrock) is starting to generate significant revenue, boosting profit estimates for the “Magnificent 7.”
• Fed policy easing: If inflation keeps drifting towards 2%, we may see the first rate cut of the cycle between July and September. Historically, every 25 bps drop in 10-year UST yields adds ~2% to the #NQ100 ’s valuation multiple.
• Record buybacks and dividends: #S&P500 companies hold $3.5 trillion in cash. After tax relief on repatriated foreign earnings earlier this year, several megacap boards approved accelerated buybacks — mechanically supporting stock prices.
• Easing tariff risks: Potential trade deals between the US and EU, and the US and Mexico, would remove the threat of 20–50% tariffs priced into valuations, unlocking CAPEX in manufacturing and semiconductors — sectors with a heavy #NQ100 weight.
• Resilient consumers and services: Unemployment remains near 4%, and household spending is growing 2–3% YoY. This supports e-commerce, streaming, and platform advertising — together making up ~40% of #NQ100 and ~28% of #S&P500 .
The current highs of #S&P500 and #NQ100 aren’t a random spike — they result from strong corporate earnings, expectations of Fed cuts, and hopes of trade détente. If even some of these five drivers materialize, the indices have a strong chance to stay elevated and set new records by year-end. FreshForex analysts believe current prices could spark a new rally, with today’s market conditions offering plenty of entry points in both indices and stock CFDs.
APPLE The Target Is DOWN! SELL!
My dear friends,
APPLE looks like it will make a good move, and here are the details:
The market is trading on 200.92 pivot level.
Bias - Bearish
Technical Indicators: Supper Trend generates a clear short signal while Pivot Point HL is currently determining the overall Bearish trend of the market.
Goal - 198.42
About Used Indicators:
Pivot points are a great way to identify areas of support and resistance, but they work best when combined with other kinds of technical analysis
Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
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WISH YOU ALL LUCK
APPLE Trading Opportunity! BUY!
My dear followers,
This is my opinion on the APPLE next move:
The asset is approaching an important pivot point 196.46
Bias - Bullish
Safe Stop Loss - 193.21
Technical Indicators: Supper Trend generates a clear long signal while Pivot Point HL is currently determining the overall Bullish trend of the market.
Goal - 202.06
About Used Indicators:
For more efficient signals, super-trend is used in combination with other indicators like Pivot Points.
Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
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WISH YOU ALL LUCK
APPLE Big circle building editionSmart phones, some of them look pretty nice tbh.
However, something I read recently about cloud storage really interested me with apple.
Among other things obviously, like big stacks of cash.
Apple has a lot of money essentially.
Apple has a lot of talented people.
SF real estate is scary.
TA and chart description.
basically, we are under a short term trend break and have a lot of indicators pushing a top with a drastic overextension, so you might expect a possible rebound from all of that in alignment. Which you can then notice the gap at 154, and see how it can close that gap and essentially climb in a stable path to nearly 400 after creating some massive support at the 263 mark.
Excited to see how this one moves in price, Excited to see what apple comes out with in the future.
Good luck trading.
Guideline is to show the idea, try not to follow it, instead focus on the price targets and trends.
APPLE The Target Is DOWN! SELL!
My dear subscribers,
This is my opinion on the APPLE next move:
The instrument tests an important psychological level 203.93
Bias - Bearish
Technical Indicators: Supper Trend gives a precise Bearish signal, while Pivot Point HL predicts price changes and potential reversals in the market.
Target - 201.90
About Used Indicators:
On the subsequent day, trading above the pivot point is thought to indicate ongoing bullish sentiment, while trading below the pivot point indicates bearish sentiment.
Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
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WISH YOU ALL LUCK
Apple Stock Drops: Is Slow AI Development to Blame?The tech world was abuzz on Monday as Apple, a titan of industry and a beacon of innovation, experienced a sudden and significant dip in its stock value, shedding approximately $75 billion in market capitalization. This abrupt decline sent ripples through the investment community, prompting a closer examination of the underlying factors contributing to what many perceive as a rare moment of vulnerability for the Cupertino giant. While market fluctuations are a normal part of the financial landscape, this particular downturn has been widely attributed to growing investor apprehension regarding Apple's perceived slow progress in the burgeoning field of generative artificial intelligence (AI). In an era where competitors are aggressively pushing the boundaries of AI capabilities, Apple's more measured approach appears to be raising questions about its future competitive edge and its ability to maintain its unparalleled ecosystem.
The $75 Billion Question: Unpacking Apple's Stock Drop
Apple's stock drop on Monday was not an isolated incident but rather a culmination of mounting concerns among investors. While the immediate trigger for such a sharp decline can often be a specific news event or analyst downgrade, the broader context points to a deeper anxiety: the pace and direction of Apple's generative AI development. For a company that has historically set the pace in consumer technology, a perception of lagging in a critical emerging technology like generative AI is a significant red flag for the market.
The $75 billion loss in market value represents a substantial sum, even for a company of Apple's immense size. It signifies that a considerable portion of investor confidence, particularly concerning future growth prospects, has been eroded. This erosion stems from the understanding that generative AI is not just another feature; it is poised to revolutionize how users interact with technology, from personal assistants to content creation and productivity tools. Companies that fail to innovate rapidly and effectively in this space risk being left behind, potentially losing market share and, more importantly, mindshare among consumers.
Investors are keenly aware that the tech landscape is unforgiving. Past leaders, even those with seemingly unassailable positions, have faltered when they failed to adapt to paradigm shifts. The market's reaction to Apple's AI progress, or lack thereof, is a testament to the perceived urgency and transformative potential of generative AI. It suggests that the market is valuing future AI capabilities heavily, and any perceived deficit in this area translates directly into a discounted valuation. The stock drop, therefore, serves as a stark reminder that even for Apple, continued dominance is not guaranteed without aggressive innovation in key technological frontiers.
Apple's Generative AI Journey: A Work in Progress
Apple's approach to AI has historically been characterized by a focus on integration, privacy, and user experience. Features like Siri, Face ID, and computational photography are all powered by sophisticated AI algorithms, seamlessly woven into the Apple ecosystem. However, these applications typically fall under the umbrella of discriminative AI, which is designed to make predictions or classifications based on input data. Generative AI, on the other hand, is about creating new content—text, images, audio, video—that is often indistinguishable from human-created output. This is where Apple's "work in progress" status becomes a point of contention.
For years, Apple has been quietly investing in AI research, acquiring smaller AI companies, and hiring top talent. Its chips, particularly the A-series and M-series, are designed with powerful Neural Engines specifically optimized for on-device AI processing. This emphasis on on-device AI aligns with Apple's core philosophy of privacy, allowing many AI computations to occur directly on the device without sending user data to the cloud. While this approach offers significant privacy benefits and can lead to faster, more responsive experiences, it may also present challenges in scaling the massive computational power required for large language models (LLMs) and other complex generative AI applications that often rely on vast cloud infrastructures.
The challenge for Apple lies in translating its existing AI prowess and privacy-centric philosophy into compelling generative AI experiences that can compete with the rapid advancements seen elsewhere. While there have been reports and rumors of Apple developing its own LLMs and generative AI tools, concrete product announcements or widespread public demonstrations have been notably absent. This silence, coupled with the aggressive public releases from competitors, has fueled the narrative that Apple is behind the curve. The market is looking for tangible evidence of Apple's generative AI capabilities, not just promises of future integration. The "work in progress" status, while a natural part of any complex technological development, is being scrutinized under a microscope, especially given the high stakes of the generative AI race.
The AI Race: Contrasting Apple with OpenAI, Google, and Microsoft
The generative AI landscape is currently dominated by a few key players who have made significant strides, setting a high bar for innovation and public perception. The contrast between these leaders and Apple's perceived pace is stark and forms the crux of investor concerns.
OpenAI, with its groundbreaking ChatGPT, DALL-E, and Sora models, has arguably ignited the current generative AI boom. Its strategy has been one of rapid iteration, public release, and collaborative development, often prioritizing innovation and accessibility over immediate commercialization. This approach has allowed OpenAI to capture significant public attention and demonstrate the immense potential of generative AI, effectively becoming the face of the movement.
Google, a long-standing leader in AI research, has been quick to integrate generative AI into its vast ecosystem. Its Gemini models are designed to be multimodal and highly capable, powering features across Google Search, Workspace, and Android. Google's advantage lies in its immense data reserves, vast computational infrastructure, and decades of AI expertise. While it initially faced criticism for being slow to respond to ChatGPT, Google has since demonstrated its commitment to integrating generative AI deeply into its core products and services, showcasing a comprehensive and aggressive strategy.
Microsoft, through its strategic partnership and substantial investment in OpenAI, has positioned itself as a formidable force in the generative AI space. By integrating OpenAI's models into its Azure cloud services, Microsoft 365 suite (Copilot), and Bing search engine, Microsoft has rapidly brought generative AI capabilities to millions of enterprise and consumer users. This partnership has allowed Microsoft to leverage cutting-edge AI research without having to build every component from scratch, accelerating its time to market and providing a significant competitive advantage.
In contrast, Apple has historically preferred to develop its core technologies in-house, maintaining tight control over its hardware and software integration. While this approach has resulted in highly optimized and secure products, it may be a slower path when it comes to rapidly evolving, data-intensive fields like generative AI. The lack of a public-facing, widely accessible generative AI product from Apple, akin to ChatGPT or Gemini, creates a perception that it is not participating in the same league as its rivals. This perception, whether entirely accurate or not, is what is currently impacting investor confidence and contributing to the stock's recent performance. The market is looking for Apple to demonstrate its unique value proposition in generative AI, beyond its traditional strengths.
Challenges and Implications for Apple
Apple's perceived lag in generative AI development presents several significant challenges and implications for its future.
Firstly, there's the risk of falling behind in core product experiences. As generative AI becomes increasingly integrated into operating systems, productivity suites, and creative tools, devices and platforms that lack these capabilities may appear less competitive. Imagine a future where intelligent agents seamlessly manage tasks, generate content, and provide hyper-personalized experiences. If Apple's ecosystem doesn't offer comparable features, it could erode its premium appeal and lead users to platforms that do.
Secondly, developer mindshare is crucial. The most innovative applications and services often gravitate towards platforms that offer the best tools and capabilities. If generative AI developers perceive Apple's platform as less capable or slower to adopt cutting-edge AI models, they might prioritize other ecosystems, potentially leading to a stagnation in the breadth and quality of third-party applications within the Apple App Store.
Thirdly, ecosystem lock-in, a traditional Apple strength, could be challenged. While Apple's integrated hardware and software create a powerful ecosystem, the allure of superior AI capabilities on other platforms could tempt users to switch. For instance, if Google's AI-powered features on Android become significantly more advanced and useful than what Apple offers on iOS, even loyal Apple users might consider alternatives.
Finally, there's the impact on brand perception and innovation narrative. Apple has built its brand on innovation and pushing technological boundaries. A perception of being a follower rather than a leader in a transformative technology like generative AI could tarnish this image, potentially affecting consumer loyalty and its ability to attract top talent in the long run. The $75 billion stock drop is a clear signal that the market is taking these implications seriously.
The Path Forward: Apple's Strategy to Reclaim AI Leadership
Despite the current concerns, it would be premature to count Apple out of the generative AI race. The company possesses immense resources, a vast user base, unparalleled brand loyalty, and a proven track record of entering established markets and redefining them. Apple's path forward in generative AI will likely involve several strategic moves.
One approach could be to leverage its existing hardware advantage. Apple's custom silicon, particularly the Neural Engine in its A-series and M-series chips, provides a powerful foundation for on-device AI. The company could double down on developing highly efficient, privacy-preserving generative AI models that run directly on its devices, offering unique capabilities that cloud-based solutions cannot match. This would align with its privacy-first philosophy and differentiate its offerings.
Secondly, strategic acquisitions and partnerships could accelerate its progress. While Apple prefers in-house development, the rapid pace of generative AI might necessitate acquiring specialized AI startups or forming partnerships with leading AI research labs to quickly integrate cutting-edge models and talent. This would allow Apple to bridge any perceived gaps more rapidly.
Thirdly, Apple might focus on integrating generative AI subtly and seamlessly into its existing products and services, rather than launching standalone, attention-grabbing AI models. This "Apple way" of introducing technology often involves refining and perfecting features before a public rollout, ensuring they are intuitive and enhance the user experience without being overtly complex. This could involve AI-powered enhancements to Siri, improved content creation tools in its creative suite, or more intelligent automation within iOS and macOS.
Finally, developer engagement will be crucial. Apple needs to provide robust tools and frameworks that empower developers to integrate generative AI capabilities into their apps, leveraging Apple's on-device AI power. This would foster a vibrant ecosystem of AI-powered applications that further enhance the value proposition of Apple devices.
In conclusion, Apple's recent stock drop serves as a potent reminder of the market's high expectations and the transformative power of generative AI. While the company's deliberate and privacy-focused approach to AI has its merits, the rapid advancements by competitors like OpenAI, Google, and Microsoft have created a perception of lag. The challenge for Apple is to demonstrate how its unique strengths—integrated hardware and software, a focus on user experience, and a commitment to privacy—can translate into a compelling and competitive generative AI strategy. The coming months will be critical as Apple navigates this pivotal technological shift, aiming to reassure investors and consumers that it remains at the forefront of innovation, ready to define the next era of personal computing with its own distinct AI vision.
APPLE On The Rise! BUY!
My dear friends,
APPLE looks like it will make a good move, and here are the details:
The market is trading on 195.23 pivot level.
Bias - Bullish
Technical Indicators: Supper Trend generates a clear long signal while Pivot Point HL is currently determining the overall Bullish trend of the market.
Goal - 208.29
Recommended Stop Loss - 187.61
About Used Indicators:
Pivot points are a great way to identify areas of support and resistance, but they work best when combined with other kinds of technical analysis
Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
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WISH YOU ALL LUCK
APPLE: Bullish Continuation & Long Trade
APPLE
- Classic bullish pattern
- Our team expects retracement
SUGGESTED TRADE:
Swing Trade
Buy APPLE
Entry - 195.23
Stop - 188.82
Take - 206.74
Our Risk - 1%
Start protection of your profits from lower levels
Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
❤️ Please, support our work with like & comment! ❤️
Magnificent Seven: Still Magnificent? Or Diverging for Good?The Nasdaq 100 has bounced, but under the surface, the “Magnificent Seven” are no longer marching in sync.
And this divergence matters, especially if you’re trading QQQ or using it as a momentum proxy.
⚔️ Leadership Rotation in Real Time
- Nvidia (NVDA): Still a beast. Making fresh highs, clear institutional momentum.
- Microsoft (MSFT): Quiet strength — not flashy, but technically clean.
- Meta, Amazon: Holding up, consolidating after major runs.
- Apple (AAPL) and Tesla (TSLA): Weak links. AAPL can't find a bid. TSLA is stuck below major resistance.
Trading QQQ directly?
Consider weighting your thesis by what’s working under the hood.
- QQQ reclaimed the 200-day MA with the May 12's gap echoing the broader S&P move.
- Look for a retest of the resistance and the previous high of 540
- Play breakouts with confirmation, or mean-reverting pullbacks.
🧠 Final Take
The Magnificent Seven are splitting into two camps: those still driving the rally, and those dragging it.
AAPL - Bearish IdeaAAPL has been moving consistently up the green solid line, finding support over and over again
Will this continue? (white circle)
If not will we see a break down to a lower trend line (dotted line) This dotted trend line extends further back on the Monthly timeframe which I can't really show on this Weekly timeframe
I am bearish
Apple Inc. (AAPL) Technical Analysis –Potential Bullish Reversalhello guys!
let's analysis Apple!
Support Area (~$219 - $221): This zone has previously acted as a strong demand level, preventing further decline.
Target Area (~$252 - $254): A key resistance level where the price might face selling pressure.
Candlestick Signal – Bullish Engulfing:
The engulfing pattern indicates a potential reversal, signaling bullish momentum after a decline.
If confirmed with increased volume, it strengthens the possibility of an upward move.
Trade Setup:
Entry: Around the current price level (~$227).
Stop-Loss: To minimize downside risk, below the support area (~$219).
Take-Profit Target: Around $252 - $254, aligning with the resistance zone.
Confirmation Factors:
A strong breakout above $230 would validate bullish momentum.
A retest of support with a bounce would reinforce the setup.
The bullish setup would be invalidated if the price falls below $219.
Conclusion:
Bullish Bias: The pattern suggests a recovery towards the target zone.
Key Level to Watch: $230 as confirmation for an upward move.
Risk Management: Stop-loss below support is crucial to limit losses.
AAPL near its 200 Day SMARecent sell-off in AAPL has pushed the price below 20-Day, 50-Day and 100-Day and near to the 200 Day SMA which is at 216 $. If we look at the Upward channel for the APPL share price when the price fell below 200 Day SMA then it consolidates for a few weeks. With earnings next Thursday watch out for more volatility in the prices. If it closes below 216 then the next stop is 187 $.