I keep hearing the bull case, and apparently it now requires Kevin Warsh and the Fed to perform a magic trick. Suppose Warsh miraculously doesn’t hike. Fantastic. Pop the champagne, fire up the algos and buy everything because disaster has officially been postponed until the next FOMC meeting. Except the threat of a hike doesn’t disappear. It simply becomes the charming little macro landmine sitting underneath the market for the rest of the year. Every inflation print, jobs number, oil spike and Fed speech becomes another episode of “Will They or Won’t They?” And if the Fed does hike? Congratulations—the bulls get the tightening they insist is already priced in. If the Fed doesn’t hike? Congratulations again—the market gets to spend the next few months wondering when Warsh finally pulls th
US 10-Year Yields Reach 5%, Highest Since 2023
Benchmark 10-year U.S. Treasury yields climbed above 5% on Monday.
I buy the thesis, but not necessarily the price after a 14% jump. AI creates a strong structural tailwind for cybersecurity. More autonomous agents mean more identities, endpoints, cloud workloads and attack surfaces to monitor. Security is also one of the harder IT budgets to cut when the threat itself is getting stronger. But cybersecurity cannot simply replace the semiconductor trade. The addressable spending pool is much smaller, and after CRWD and PANW jumped 13%+ in one session, a lot of enthusiasm has been pulled forward. So I would buy the theme, not chase the spike. CRWD and PANW are my preferred names on a pullback. The real confirmation comes when AI-security fears translate into sustained ARR growth, larger contracts and higher guidance. More dangerous AI = more security spendi
For me, Burry closing his Dec 2026 NVDA puts is interesting, but I would not take it as a reason to turn bullish immediately. It suggests even a well-known bear is becoming more selective about the timing of the downside trade while Nvidia’s fundamentals remain strong. I am more focused on Jensen Huang’s US$3–4 trillion AI infrastructure opportunity through 2030. If AI spending keeps expanding across hyperscalers, enterprises, neoclouds and sovereign AI, Nvidia has multiple ways to capture that growth. Its move toward full rack-scale systems and higher-value platforms also increases its exposure to AI capex. That said, I would still watch valuation closely. Strong demand does not mean the stock is cheap. I remain cautiously bullish and would prefer accumulating on meaningful pullbacks rat
For me, today’s selloff looks more like a repricing than a sign that the AI cycle is over. If frontier model development slows, I think AI spending could simply shift from training the next massive model toward inference and deploying existing models at scale. I am especially watching AI agents and inference demand. As companies like Microsoft, Google, Amazon and Meta integrate AI deeper into everyday workflows, the demand for GPUs, HBM, networking and data-center power could remain strong. In some ways, broader inference adoption could create an even wider market than frontier training. That said, I would not ignore valuation risk. If cloud companies start cutting capex while GPU utilization, HBM orders and networking demand weaken together, that would be a much more serious warning. For
Investing in $Intel(INTC)$ is like deciding whether to buy a house that needs a lot of fixing up. It could be worth a lot more later, or it could cost you more time & money than expected. Reasons to buy Intel: The US government wants chips to be made in America & they are giving Intel billions in support to make that happen. The Comeback Plan: Intel is building massive new factories to make chips for other companies, which could unlock huge new profits in a few years. High Demand: Right now, there is a shortage of computer processors or CPUs. Because of this, Intel can charge higher prices for its products. Reasons to Pause: Tough competition: Fierce rivals like AMD are still winning a lot of market share & I
🌟🌟🌟Is $Oracle(ORCL)$ a Buy or Sell? The case to Buy: When Larry Ellison cancels a share sale, it signals that he believes the stock is undervalued & better days are still ahead. Oracle's backlog growth: Oracle's remaining performance obligations have grown rapidly, showing that the long term pipeline for its cloud and AI infrastructure services is robust. The Case To sell: Squeezed Cash Flow: Oracle is spending billions on GPUs & building massive global data centres. This exerts heavy pressure in the short term. Execution Risk: Building infrastructure is capital intensive. The Verdict: Hold firm if you believe in Larry Ellison's track record & view Oracle as a winner in the AI cloud infrastructure race over a long t
$ParkwayLife Reit(C2PU.SI)$ ParkwayLife Reit - I think gd price is back. At 3.98, yield is about 4.4 percent seem not bad. ParkwayLife Reit - 1st Half Results is out! DPU is up 14.6 percent to 8.77 cents. DI is up 14.6 percent to 57.2m, awesome.XD 12th August, paydate 8th September 2026. Estimating yearly dividend of 17.54 cents, yield is about 4.18%, seem not bad! gross revenue for the half year stood at S$77.1 million, while net property income was S$72.4 million. Compared to the corresponding period last year, gross revenue and net property income have declined by 1.6% and 2.0% respectively, mainly due to the depreciation of the Japanese Yen and lower rental income from affected Japan assets. These were partially offset by continued c
For me, $CrowdStrike Holdings, Inc.(CRWD)$ and $Cloudflare, Inc.(NET)$ stand out the most. AI growth is creating more demand for cybersecurity and connectivity infrastructure. CRWD has strong ARR growth and cash flow, while NET benefits from rising AI workloads. I would rather watch these names than chase the energy rally after such a strong run. I am also watching $Marathon Petroleum(MPC)$ and $Valero(VLO
For me, Monday looks more like a rotation than a real change in the AI story. The market is questioning how fast AI training spending can grow, which explains the sharp selloff in memory and semiconductors. But a few comments about slowing frontier AI development are not enough to invalidate the huge AI infrastructure investments already underway. I find the cybersecurity move more interesting. The more AI systems and agents enter production, the more security and monitoring they will need. That makes CRWD and PANW interesting to me, although after such a strong one-day rally, I would rather wait for a better entry than chase. I am also watching the 10-year yield and oil closely because they are more immediate valuation risks. If yields stay near 5%, high-growth AI stocks could face more
AI Chip Stocks Are Selling Off Hard: Should Investors Buy, Hedge, or Wait? AI hardware stocks came under heavy selling pressure on Monday. The $PHLX Semiconductor Index (.SOX.US)$ fell more than 5% intraday, with $NVIDIA(NVDA)$ , $Advanced Micro Devices(AMD)$ , $Broadcom(AVGO)$ and $Micron Technology(MU)$ among the biggest decliners. Meanwhile, $Microsoft (MSFT.US)$ , $Alphabet-C (GOOG.US)$ and $Meta Platforms (META.US)$ moved higher, while cybersecurity stocks
I’d pick ② Identity security. The biggest AI-security shift is not just protecting models—it’s controlling what autonomous agents are allowed to do. An AI agent can access databases, execute code, move data and trigger workflows at machine speed. That makes traditional “user login” security increasingly inadequate. CrowdStrike is already building dedicated agent identities and continuous authorization, while Zscaler is developing Zero Trust controls specifically for AI agents. The interesting part is the economics: every new AI agent deployed into an enterprise could create another identity, permission set and attack surface that needs protection. So cybersecurity may become an unavoidable AI infrastructure tax. The winners won’t simply be companies selling “AI security” — they’ll be thos
Could Security Be AI’s Biggest “Second-Order” Trade?
U.S. markets showed a striking divergence overnight. As investors worried that calls to slow frontier AI development could eventually cool spending on GPUs, HBM and data centers, semiconductor names came under pressure. At the same time, cybersecurity stocks surged. CrowdStrike, Palo Alto Networks, Zscaler and Fortinet all moved sharply higher. The same “AI risk” narrative was hitting chips while pushing security software into the spotlight. The more important takeaway is not simply that money rotated from hardware into software. The bigger question is whether cybersecurity is becoming a mandatory layer of AI CapEx. Once AI agents start connecting to email, code repositories, databases, CRM systems and payment tools, AI is no longer just reading information. It can call tools, modify files
I would choose C. I remain bullish on AI infrastructure because slowing frontier-model development does not mean companies will suddenly stop investing in chips, memory, data centers and power. The existing AI workloads still need to be supported, and enterprise adoption is still developing. I would not blindly follow the $315 million options trade either. Even if Leopold is behind it, large funds have different risk tolerance and strategies from retail investors. I see the trade as a useful signal, but not a reason to chase AI stocks after a sharp move. With Triple Witching this Friday, I would expect more short-term volatility. I would rather use any excessive pullback to gradually DCA into strong AI infrastructure names than try to predict every move. For me, the long-term AI story rem
🌟🌟🌟The count down is on for $SpaceX(SPCX)$ to double its weighting in the Nasdaq 100 index from 1.28% to 2.82% on September 21 2026. The Trader's Dilemma: Should I FOMO into SpaceX or wait for a pullback? The Case For Buying Now: Index tracking funds must hold the correct weight. That means $Invesco QQQ(QQQ)$ will be forced to buy USD 12.4 billion to USD 15.5 billion worth of SpaceX stock. SpaceX has recently been locked in AI compute deals which include a fresh USD 1.11 billion a month contract aimed at increasing their annual recurring revenue towards USD 100 billion by end of 2026. The Case For Waiting: There is SpaceX Lockup Expiration from late September to November. While August
I would choose ②. As AI agents become more connected to enterprise systems, identity and permissions could become a major security challenge. Companies will need to know which AI agent is acting, what it can access, and what actions it can take. I still like the broader cybersecurity story because AI deployment creates new security needs. CRWD, PANW and ZS could benefit if AI security becomes a bigger budget item, but I would not chase a double-digit rally. I want to see actual ARR growth and enterprise spending first. For me, the key question is whether AI security becomes a standard part of enterprise AI. If companies increase spending on identity, data protection and agent monitoring, cybersecurity could become another essential layer of the AI infrastructure stack.
Could Security Be AI’s Biggest “Second-Order” Trade?
U.S. markets showed a striking divergence overnight. As investors worried that calls to slow frontier AI development could eventually cool spending on GPUs, HBM and data centers, semiconductor names came under pressure. At the same time, cybersecurity stocks surged. CrowdStrike, Palo Alto Networks, Zscaler and Fortinet all moved sharply higher. The same “AI risk” narrative was hitting chips while pushing security software into the spotlight. The more important takeaway is not simply that money rotated from hardware into software. The bigger question is whether cybersecurity is becoming a mandatory layer of AI CapEx. Once AI agents start connecting to email, code repositories, databases, CRM systems and payment tools, AI is no longer just reading information. It can call tools, modify files
🌟Is the storage supercycle a glorious AI fueled reality or are we about to watch AI sentiment take an icy bone chilling shower? With $Micron Technology(MU)$trading around USD 924.03 after a roller coaster summer, this upcoming report is the ultimate litmus test for the entire semiconductor industry. The Storage Supercycle Believers: This crowd argues that AI chips are completely useless without massive lightning fast memory. Micron's advanced HBM3E is sold out through 2026. If Micron drops blockbuster guidance & proves Big Tech is still spending like drunken sailors on memory hardware, the stock could launch into space. The AI Cooling Sentiment
🌟🌟🌟I am pitching my tent on the 25bp reality check. Why? With bond yields rising and core CPI picking up, traders are pricing in a huge 90% chance that Fed Chair Kevin Warsh will pull the trigger on a 25 basis points hike this week. It is the expected thing to do. If he skips it, it would make him appear to be asleep at the wheel. Which asset class suffers the most? Real Estate will suffer the most as high interest rate is bad for property. Mortgages go up, buyers vanish & commercial real estate refinancing becomes difficult. A close 2nd would be Bitcoin as it is a speculative risk on asset which would normally be dumped for safety. 3rd would be tech stocks like $NVIDIA(NVDA)$ because high rates hurt growth stocks as future
I agree most with the bullish view on $NEBIUS(NBIS)$ . AI infrastructure remains a strong long-term theme for me, and its potential recurring-revenue growth makes the $355 target interesting. I am holding NBIS for the mid-to-long term, focusing more on execution and contract growth than short-term price moves. $Meta Platforms, Inc.(META)$ also stands out. Its huge user base and advertising business give it multiple ways to monetize AI investments. The $820 target is aggressive, but stronger AI adoption could justify higher expectations. I am more cautious on $Novo-Nordisk A/S(<
Magnificent Seven (MAGS) ETF Bullish Nested Framework in Play
Magnificent Seven (MAGS) ETF Bullish Nested Framework in Play By EWFHendraSeptember 14, 2026 · 2 min read The Magnificent Seven ETF (MAGS) captures the performance of seven dominant U.S. technology and growth companies, giving investors concentrated exposure to some of the market’s most influential names. Since inception, MAGS has displayed pronounced directional swings that align well with Elliott Wave analysis, marked by distinct impulsive rallies and corrective pullbacks that define its medium‑term trend structure. MAGS Weekly Elliott Wave Chart The weekly Elliott Wave view of the Magnificent Seven ETF (MAGS) highlights a powerful nesting structure from its all‑time low. The advance to $58.69 completed Super Cycle wave (I), followed by a corrective decline in wave (II) that bottomed at
$OIH Update: Wave ((1)) Ends as Wave ((2)) Pullback Targets Key Retracement Zone
In our previous Elliott Wave update on the VanEck Oil Services ETF ($OIH), we highlighted the bullish double nest from the 2020 lows and the strong reaction higher from the major support area. That advance has continued to develop as expected and now appears to have completed wave ((1)). As a result, $OIH has entered a corrective wave ((2)) pullback. The current decline is expected to retrace part of the latest advance before buyers step back in. The key area to watch comes between the 50% and 61.8% Fibonacci retracement at 398.49–388.60, where support should begin to appear. $OIH Wave ((1)) Appears Complete Looking at the weekly chart, $OIH rallied strongly from the July 2026 low and developed an impulsive structure. That advance unfolded through five waves and eventually completed wave (
Elliott Wave Analysis: Exxon Mobil (XOM) Extending Rally within Wave (5)
The short‑term Elliott Wave outlook for Exxon Mobil (XOM) indicates that the rally from the June 25, 2026 low is unfolding as a five‑wave diagonal. From that point, wave (1) concluded at $159.42, followed by a corrective pullback in wave (2) that ended at $149.09. The stock then advanced in wave (3), reaching $168.64. The subsequent pullback in wave (4) developed as a double three structure, with wave W finishing at $162.25, wave X rallying to $165.40, and wave Y declining to $155.37. This sequence completed wave (4) at a higher degree. The advance has since resumed in wave (5). Within this leg, the rally unfolded as a diagonal. Wave ((i)) ended at $165.65, while the dip in wave ((ii)) terminated at $158.75. The third wave, ((iii)), carried prices higher to $167.70, before a modest pullbac