Long
Long
Long
FTV Official Trading PlanFTV Official Trading Plan
1. Trading Instrument
Trading Instrument: FTV (US Stock)
2. Analysis Timeframe
Analysis Timeframe: 4H Band Trading
3. Entry Level
Wait for price pullback and go long near the market price at 55.00
4. Stop Loss Level
Full position stop loss placed at 54.000.
Strictly execute stop loss once the price breaks the stop loss level, no holding and no subjective adjustment. This trade is configured with a fixed risk-reward ratio of 1:9.
5. Take Profit & Risk Protection Rules
1. First Target: 58.00
Reduce half of the position, move stop loss forward to lock floating profits and protect remaining positions.
2. Second Target: 60.70
Reduce half of the remaining positions again, continue to push up stop loss to further expand profit protection range.
3. Third Target: 64.50
Reduce half of the remaining positions, push stop loss again to fully secure trading profits.
Leave the last tail position to run with the trend and dynamically adjust protection according to real-time price movement.
6. Position Sizing
Trade with a fixed 1:9 risk-reward ratio for 4H band trading. Control single trade risk within a reasonable range, prohibit over-sizing and averaging down against the trend. All position calculations strictly comply with the preset high reward trading structure.
7. Trading Cycle
4H cycle band trading. Wait for minor level pullback entry, hold positions according to trend structure, close partial positions step by step at each target level, and retain tail positions to capture further trend extension opportunities.
8. Risk Transaction Reminder
US stock markets are affected by U.S. macroeconomic data, Federal Reserve policy, corporate financial reports, industry sector rotation and global capital sentiment. 4H band trading has a longer holding cycle and faces overnight gap risks. Waiting for pullback entry reduces abnormal entry risk but cannot eliminate sudden intraday reversals and structural changes. Extreme market volatility, pre-market and after-hours trading slippage may affect the actual execution of stop loss and take profit. This trade adopts a high 1:9 risk-reward strategy which requires strict trading execution discipline. Graded position reduction and trailing stop protection can effectively control trading risks but cannot eliminate all market uncertainties. All position adjustment operations must be executed strictly in accordance with the preset plan, and impulsive temporary position opening and arbitrary position modification are prohibited.
Professional Disclaimer
All financial transactions involve huge risks such as price fluctuations, liquidity imbalance and sudden market reversals. The US stock market has session-specific risks, policy uncertainties and overnight gap risks. Stock trading and leveraged trading amplify both returns and risks, and may cause partial or total loss of principal. This trading plan is only for personal strategy reference and does not constitute any investment invitation or financial advice. All opening, closing and risk control decisions are independently executed by the trader, and all profit and loss consequences shall be borne solely by the trader.
Long
Long
Long
Long
Long
Long
HON Official Trading PlanHON Official Trading Plan
1. Trading Instrument
Trading Instrument: HON (US Stock)
2. Analysis Timeframe
Analysis Timeframe: 4H Band Trading
3. Entry Level
Go long near the market price at 203.50
4. Stop Loss Level
Full position stop loss placed at 198.00.
Strictly execute stop loss once the price breaks the stop loss level, no holding and no subjective adjustment. This trade is configured with a fixed risk-reward ratio of 1:8.85.
5. Take Profit & Risk Protection Rules
1. First Target: 220.00
Reduce half of the position, move stop loss forward to lock floating profits and protect remaining positions.
2. Second Target: 235.00
Reduce half of the remaining positions again, continue to push up stop loss to further expand profit protection range.
3. Third Target: 250.00
Reduce partial remaining positions, push stop loss again to fully secure trading profits.
Leave the last tail position to run with the trend and dynamically adjust protection according to real-time price movement.
6. Position Sizing
Trade with a fixed 1:8.85 risk-reward ratio for band trading. Control single trade risk within a reasonable range, prohibit over-sizing and averaging down against the trend. All position calculations strictly comply with the preset high reward trading structure.
7. Trading Cycle
2H cycle band trading. Hold positions according to trend structure, close partial positions step by step at each target level, and retain tail positions to capture further trend extension opportunities.
8. Risk Transaction Reminder
US stock markets are affected by U.S. macroeconomic data, federal interest rate policy, corporate earnings reports, sector capital rotation and global market sentiment, with volatile intraday movements and unexpected trend reversals. 4H band trading carries medium holding cycle risk, and price gaps and execution slippage may occur during pre-market and after-hours trading or extreme market fluctuations, affecting actual stop loss and take profit execution. This trade adopts a high 1:8.85 risk-reward strategy which requires strict trading discipline. Graded position reduction and trailing stop protection can effectively control trading risks but cannot eliminate all market uncertainties. All position adjustment operations must be executed strictly in accordance with the preset plan, and impulsive temporary position opening and arbitrary position modification are prohibited.
Professional Disclaimer
All financial transactions involve huge risks such as price fluctuations, liquidity imbalance and sudden market reversals. US stock markets have unique trading session risks and policy-related uncertainties. Leveraged and equity trading amplify both returns and risks, and may cause partial or total loss of principal. This trading plan is only for personal strategy reference and does not constitute any investment invitation or financial advice. All opening, closing and risk control decisions are independently executed by the trader, and all profit and loss consequences shall be borne solely by the trader.
Long
Can Starlink's Profits Outrun a $75 Billion Cash Burn?SpaceX trades near $143.49 per share after its public debut, valuing the company at roughly $1.94 trillion. The macro backdrop works against that multiple. The ten-year Treasury yield has approached 5.0%, lifting discount rates across growth equities, while crude above $100 per barrel raises aerospace supply chain costs. Near-term flows cut the other way: the September 18 Nasdaq-100 rebalance lifts SpaceX's weighting from 1.28% to 2.82%, forcing up to $22 billion of passive buying. That demand meets heavy supply. Lockup releases have already added over 1.2 billion shares, and another 2.3 billion will become tradable before year-end.
Second-quarter revenue reached $7.81 billion, up 91.9% year-over-year, against $18.7 billion for all of 2025. Management guides toward $100 billion in annual recurring revenue by December. Connectivity carries the business, with Starlink producing $4.3 billion in quarterly revenue and $2.6 billion in adjusted EBIT from 12 million subscribers at $66 ARPU. AI compute leasing added $2.6 billion in revenue and $1.1 billion in operating profit, helped by one undisclosed client paying $1.11 billion monthly. The launch segment still loses money, posting a $200 million adjusted EBIT loss as Starship development absorbs connectivity profits. Quarterly capital expenditures hit $18.4 billion, an annualized pace near $75 billion. David Einhorn has publicly questioned how investment-grade ratings square with persistent negative free cash flow.
Government demand supplies the strategic ballast. A White House directive on commercial space transportation accelerates launch approvals, and Italy is negotiating a $1.6 billion Starlink security contract despite domestic opposition and Brussels' preference for the €10 billion IRIS² constellation, which will not fly before 2030. Starshield extends the franchise into defense, with satcom terminals planned across the F-35 fleet by 2031. The Pentagon's IL5 accreditation for Grok for Government opened a recurring software revenue line reaching 1.7 million defense personnel. Data center capacity of 1.4 gigawatts is scaling toward 2.0 gigawatts this year, at roughly $50 billion per gigawatt to build.
Starship Flight 14 launches September 22 as the program's first orbital and first revenue-generating mission, deploying 26 Starlink V3 satellites. That single flight adds 26 terabits per second of bandwidth against 2.6 from a Falcon 9, with production missions targeting 60. The patent data reveals where management believes the moat sits: 73.5% of published families cover RF and user terminals, while rockets and propulsion account for just 3%. Engines and metallurgy stay locked as trade secrets rather than public blueprints. The investment question reduces to timing. If Starship reaches full reusability, SpaceX controls orbital bandwidth economics outright. Until operating cash flow covers the capital budget, the shares stay volatile. 
Long
CISCO Most overbought since the peak of Dotcom Bubble!Cisco (CSCO) has been trading within a multi-year Channel Up since the April 2010 High, the first major correction after the 2008 Housing Crisis. This June (2026) it hit the top (Higher Highs trend-line) of this pattern for the first time and its 1M RSI got to extremely overbought levels that we last saw in March 2000, which was the peak of the Dotcom Bubble!
Based on that, and given that all major Bearish Leg corrections within this pattern pulled back to at least their respective 0.5 Fibonacci retracement level, we expect Cisco to decline to $80 (essentially neutralizing the massive April - May 2026 rally), potentially testing its 1M MA50 (blue trend-line) for the first time since April 2025. That would also almost be a -39.70% decline, matching the one in 2022 (most recent major correction).
---
** 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. **
---
💸💸💸💸💸💸
👇 👇 👇 👇 👇 👇 
Short
SNDK — Weekly Structure: Higher Low in DevelopmentNASDAQ:SNDK is currently developing a higher-low structure on the weekly timeframe after the sharp correction from the $1,800–$1,850 area. The key structural point is the reaction from the $1,000–$1,150 region, followed by a recovery toward $1,800. The current retracement toward $1,500–$1,530 is therefore the area to monitor for confirmation of the higher low.
As long as the weekly structure holds above approximately $1,447, the current pullback can remain consistent with a higher-low formation rather than a full structural reversal. A recovery above the recent swing high around $1,800–$1,850 would provide confirmation that the bullish sequence is resuming. Above that zone, the next major resistance area is around $1,930, followed by the broader $2,300–$2,330 region.
The main invalidation level on this setup is $1,447. A decisive weekly break below that level would weaken the higher-low thesis and require reassessment of the structure.
One important catalyst is earnings. Sandisk's latest fiscal Q4/FY2026 earnings were reported on August 5, 2026, not October 5. The company's investor-relations calendar currently does not confirm an October 5 earnings release; external calendars are currently estimating the next report around early November, but that date has not been officially confirmed.
Therefore, October 5 should be treated as a date to monitor rather than a confirmed SNDK earnings date unless Sandisk subsequently announces it.
From a purely technical perspective, the setup is straightforward: $1,447 is structural support, $1,800–$1,850 is the confirmation zone, and $2,300–$2,330 is the larger upside reference area. Price action around the weekly higher low will determine whether the structure remains intact.
This is technical analysis for educational purposes and not financial advice. 
Long
Do Not Miss Out on XPENGNYSE:XPEV
XPENG - AI, Autonomy, And A Channel Within A Channel. Three Entry Scenarios.
XPENG is one of the most compelling stories in the EV space right now and it goes well beyond electric cars. Q2 2026 revenue came in at $2.91 billion, up 51.5% quarter-over-quarter, with gross margins expanding to 20.7%, up 3.4 percentage points year-over-year. The cash position stands at $5.97 billion. Its Volkswagen partnership, one of the largest Western automakers in the world choosing XPENG's technology as the foundation for its next-generation vehicles in China, is one of the strongest third-party validations a Chinese EV company has received. Add proprietary chip development, an autonomous driving platform that is genuinely competing with the best in the world, a humanoid robotics division already valued at over $6 billion, and analyst consensus implying 86% upside from current levels, this is not just an EV play. It is a physical AI company wearing an EV badge.
The Setup
Up until 2024 XPENG was locked in a sustained downtrend. That downtrend was broken, a significant structural shift. Since the breakout, the stock has been operating within a well-defined ascending channel, with resistance tested three times and support tested three times. The structure has been respected consistently.
After testing channel resistance in November 2025, price entered a corrective descending channel within the larger uptrend, a consolidation phase heading toward the ascending channel support.
We have three potential entry scenarios, all confirmed, none anticipated:
Scenario 1 - A weekly close above the descending channel resistance. The corrective structure resolves to the upside and the next leg of the larger channel begins.
Scenario 2 - A confirmed bounce from the ascending channel support. Price reaches the lower boundary of the larger channel, buyers step in, and the structure holds.
Scenario 3 - If channel support fails, a retest of the Horizontal Support all time low is likely
We are not in a position yet. We are watching all three levels. The chart tells us when.
Keep posted for any updates.
Long 
Long
Long
Will SNDK go down to $1,450 GEX magnet level this week?SNDK is currently trading near $1,531, while this week’s gamma-exposure snapshot shows the largest negative GEX concentration at the $1,450 strike, with estimated net GEX of approximately -$22.1 million.
That places the $1,450 level roughly 5% below the current price.
The main question is whether $1,450 could attract price as expiration approaches—or whether the negative gamma surrounding this strike makes it more likely to behave as an acceleration and volatility zone.
Negative gamma should not automatically be interpreted as support or a guaranteed price magnet. In a negative-gamma environment, dealer hedging may reinforce the direction of the underlying move. If SNDK weakens and breaks below the nearby $1,500 area, hedging flows could potentially contribute to a faster move toward $1,450.
Possible scenarios:
• Above $1,500: Price remains separated from the largest negative-GEX concentration, reducing the immediate probability of a $1,450 test.
• Below $1,500: The distance to $1,450 narrows, making the large GEX concentration increasingly relevant.
• Near $1,450: Watch whether price stabilizes, rejects the level, or accelerates through it. The reaction may be more useful than assuming the strike will automatically provide support.
GEX levels are estimates based on options positioning and assumptions about dealer exposure. They can change as contracts are opened, closed, or approach expiration. For that reason, the $1,450 level is best treated as a potential reaction zone—not a guaranteed target.
For traders who incorporate GEX into their process:
1. Would $1,450 be classified as a magnet or an acceleration level?
2. Is a break below $1,500 necessary before considering $1,450 relevant?
3. How often do large negative-GEX strikes attract price compared with positive-GEX strikes?
4. What confirmation—volume, implied volatility, price action, or time to expiration—is most useful?
This analysis is educational and does not constitute financial advice.
Short
Long
Intel's Bold Rebirth: AI, Chips and Global PowerIntel faces a pivotal transformation in 2026. Global tech demands force radical shifts in silicon manufacturing. Artificial intelligence drives unprecedented semiconductor growth. Intel must adapt to survive. The global economy relies on robust supply chains. Macroeconomic pressures squeeze legacy hardware producers. Memory prices have risen sharply, with SK Group Chairman Chey Tae-won describing them as abnormally high and calling for supply expansion. Data centers devour available global silicon output. This creates immense economic friction. Intel seeks dominance in this new paradigm. The company pivots increasingly from monolithic processors to agile chiplets. This strategic shift redefines global high-tech industries.
Geopolitics and Geostrategy
Semiconductors dictate modern geopolitical leverage. The US government aggressively secures domestic supply chains, and last year took a 10% equity stake in Intel itself. Commerce Secretary Howard Lutnick has publicly pressed foreign memory giants to build locally, telling an audience at Micron's New York fab in July that he wants to bring Samsung Electronics and SK Hynix to the United States to build production facilities. Intel broke ground on its New Albany, Ohio campus in 2022 with an initial $28 billion commitment and a longer-term vision approaching $100 billion across as many as eight fabs. After missing its original 2025 target, Intel pushed first production to 2030 or 2031, five to six years later than planned. The site remains strategic, designed to support 14A and future nodes. Korea JoongAng Daily reported in July that SK Hynix was in talks to acquire the campus. SK Hynix firmly denied these specific buyout claims in a Korea Exchange filing. However, Semafor subsequently reported early-stage discussions about an operational partnership, so strategic collaboration remains viable. SK Hynix is testing integration of its HBM with Intel's EMIB-based 2.5D packaging technology, and Samsung and Micron are assessing EMIB as well, reflecting memory makers' push to diversify away from tight TSMC CoWoS supply. Intel leverages government support aggressively. Geostrategy now revolves around localized silicon independence.
Business Models and Economics
Intel embraces a radically new business model. The company separates its foundry operations from chip design. This bold move attracts external clients, and Intel has onboarded marquee customers including Apple and SpaceX under chief executive Lip-Bu Tan. High capital expenditures challenge traditional profit margins. Building advanced fabs costs tens of billions. Intel Foundry lost $10.3 billion in 2025 on $17.8 billion of revenue, followed by a further $2.4 billion loss in the first quarter of 2026. The Arizona Fab 52 has begun mass production of 18A nodes. Intel pushes the Ohio facility launch to 2030. Joint investment programs spread massive financial risks. Brookfield partnered with Intel for Arizona expansions. Intel monetizes its advanced packaging capabilities effectively. Supplying ecosystem partners diversifies revenue streams.
Company Culture and Leadership
Management prioritizes pragmatic adaptability over rigid tradition. Decades of monolithic CPU dominance fostered complacency. Chief executive Lip-Bu Tan, appointed in 2025, ruthlessly targets high-growth AI sectors. The corporate culture now emphasizes rapid iteration. Teams race to bridge previous technological gaps. Intel acknowledges its late entry into AI hardware. Leaders implement an aggressive recovery strategy that has included large-scale layoffs and capital expenditure cuts. This requires immense organizational resilience. Managers foster diverse industry collaboration initiatives, and Intel hired Lee Seok-hee, SK Hynix's former chief executive, in June to help run its packaging business. Intel builds partnerships rather than fighting isolationist battles. This cultural evolution ensures long-term survival.
Technology, High Tech and Innovation
Innovation centers on heterogeneous compute architectures. Intel moves steadily away from traditional monolithic chip designs. Advanced packaging technology connects specialized silicon chiplets. Engineers optimize hardware specifically for large language models. New chips feature efficient SoftMax calculations for transformers. Speculative kernel execution accelerates chiplet GPU performance. Early exit mechanisms speed up neural inference. Sparse neural network inference reduces required computational power. Hardware compression of sparse matrices eliminates wasted operations. These innovations make AI deployments significantly cheaper.
Cybersecurity and Patent Analysis
Intel's patent portfolio reveals clear strategic priorities. Advanced packaging dominates recent filings, consistent with the company's chiplet and EMIB strategy. AI accelerator filings surged during 2025. Cybersecurity remains a foundational pillar for enterprise clients. The portfolio shows a deliberate security evolution. Intel transitioned from client-side secure enclaves. The focus shifted to cloud-scale confidential computing. Trust Domain Extensions now secure shared cloud environments. Hardware encryption protects critical AI matrix accelerators.
Science and The Pharmaceutical Industry
Intel silicon supports breakthroughs in modern medical science. The Intel Pharma Analytics Platform, developed with contract research organization ICON under an agreement first announced in 2018, captures sensor data from remote study subjects. Edge-to-cloud AI quantifies therapy impacts objectively. This automation aims to reduce clinical trial costs. High-quality data accelerates new drug market delivery. A notable personal link runs through the leadership. Lip-Bu Tan, Intel's chief executive, serves as board chairman of Greenstone Biosciences, the Palo Alto company combining human iPSC biology with AI-driven drug discovery. Greenstone has announced collaborations with NVIDIA and with Illumina rather than with Intel. Silicon innovation nonetheless underpins computational drug discovery across the sector. 
Long
