To The Moon

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A leading global optical manufacturer recently partnered with YXT.com Group Holding Limited ( $YXT.COM GROUP HOLDING LIMITED(YXT)$ ) to upgrade its new employee development and workforce capability system through digital tools and AI-enabled practice coaching. After the project was launched, the company reported a 68% improvement in management productivity, first-year attrition falling to 8.9%, and a 95% role competency rate. These results suggest that enterprise learning systems are no longer just tools for managing courses and training records. They can also support role capability development, organizational knowledge capture, and execution efficiency. For YXT, the project is a concrete example of its intelligent productivity strategy being appl

Hey everyone, Last Friday's NFP shock gave us a real-time test of the framework we discussed just two hours before the print. While the market was leaning hard into the rate-cut story, I flagged two things: low expectations did not automatically mean a weak labor market, and the market was not pricing in enough risk around a higher-for-longer or more hawkish repricing. Since the livestream was conducted in Chinese, the slides shown below are excerpts from the original Chinese PPT used during the session. The print came in hot, risk assets came under pressure, and the cross-asset moves largely followed the path we discussed in the livestream. [Call #1: The leading indicators were already warning us] The market was leaning too far into the dovish story that night, but the underlying data tol

Share share now go go go

A one-day wipeout of this magnitude feels dramatic, but it doesn't automatically mean the AI and semiconductor story is broken. The sector had become one of the most crowded trades in the market, with valuations pricing in near-perfect execution and years of continued AI spending growth. The key question isn't whether stocks bounced 5-6% after hours. The key question is whether hyperscalers continue spending aggressively on AI infrastructure over the next 12-24 months. If that remains intact, this could prove to be a healthy reset that shakes out leverage and speculative excess. That said, falling 15-30% in a day is often a sign that forced selling and deleveraging are occurring. Those events can take time to fully unwind, and sharp relief rallies are common even during larger corrections.

$NVDA$  opportunity 

Every dip in the next 6 to 12 months is healthy in the short to mid term. Just buy the dip or wait it out.  Even my puts underwater, I just roll.  Don't scared. Buy at support. 

$GraniteShares 2x Long NVDA Daily ETF(NVDL)$ should have taken profit when at $130. I guess it's time to top up

Intel: the most cornered worrying about its future

Good, it's worth to invest, pls go go go go!!!

Nvidia’s selloff feels driven more by fear than fundamentals. Broadcom’s stumble and geopolitical tensions gave investors an excuse to take profits, but the underlying AI demand story remains intact. Unless there’s evidence that hyperscaler spending is slowing or AI infrastructure demand is rolling over, this looks like a healthy correction in a crowded trade rather than the end of the AI bull market. The risk isn’t collapsing demand—it’s whether expectations had simply gotten too far ahead of reality.

$NVIDIA(NVDA)$   Nvidia maintains its AI chip dominance, with robust and sustainable growth rates, while expanding opportunities beyond hyperscalers. NVDA's Vera CPU presents a $20 billion annualized opportunity, but GPUs and integrated systems will continue driving the bulk of future growth. Despite underperformance versus peers and market skepticism, NVDA trades at just above 20x forward earnings, with EPS CAGR projected above 40% for three years. NVDA's broadening customer base, deep integration, and VC-style investments underpin a strong moat.

$NVIDIA(NVDA)$  pull back may not happen any soon?

$NVIDIA(NVDA)$   US stocks kicked off the week on the downside, with a surge in global bond yields, another rise in oil prices, and deeper concerns over the fate of the astonishing tech rally heading into the back half of the month. The broader move in bonds, which lifted 10-year U.S. Treasury yields to as high at 4.631% in overnight trading and took 30-year paper to 5.159%, near the highest levels since 2007, was the more concerning aspect of the market's recent repricing, and suggests a decoupling from global oil prices that could test the tech rally over the coming weeks. Benchmark 10-year notes last traded at 4.597%, still the highest in more than a year, after adding more than 20 basis points last wee

Papa Huang on HBO?! I definitely will watch! Number #1 fan! 😍💯😍💯 $NVIDIA(NVDA)$  $NVDA 20270319 200.0 CALL$ 

For long-term investors, a 3-4% pullback in NVIDIA is not especially meaningful. The core thesis remains intact: hyperscaler AI spending is still growing, TSMC continues to report strong demand, and NVIDIA remains the dominant supplier of AI accelerators. That said, the market is no longer pricing NVIDIA as a cyclical chip company. Expectations are extremely high. Broadcom's reaction shows that even strong results can trigger selloffs if guidance fails to exceed lofty forecasts. My approach would be gradual accumulation rather than trying to time the bottom. Geopolitical headlines and profit-taking could create further volatility, but waiting for complete clarity often means buying at higher prices later. The key question is not whether NVDA can grow, but whether growth can continue to out

Nvidia gave up its hard-earned Computex gains after sliding 3.62% on Wednesday, pulled down by Broadcom's post-earnings drop and Middle East-driven risk-off sentiment. This macro-shakedown dragged the entire AI chip sector into a temporary broad pullback. The "No-Cooling" Thesis (The [IDEA] Angle): Is it time to panic? Far from it. This dip is presenting us with a textbook fundamental mismatch. While macro sentiment pushed the price down, the physical tech industry is screaming the exact opposite. TSMC’s CEO just explicitly reiterated that global AI demand shows "no signs of cooling." Simultaneously, Bank of America (BofA) recalibrated its NVDA outlook upward, keeping the long-term compute narrative completely intact. My unique view here is that the market is mispricing short-term geopolit

When a sector bellwether like Broadcom stumbles and geopolitical risk-off sentiment spikes, algorithms ruthlessly flush out short-term leverage—dragging the entire AI chip sector down with it. If you are looking at this dip, here is a data-driven perspective on how to play the entry point: 1. The Fundamental Secular Moat is Intact As noted in ⁠image_9.png⁠, TSMC’s CEO explicitly reiterated that AI demand shows "no signs of cooling." TSMC is the ultimate bottleneck and truth-teller for global hardware demand. If their fabs are running at maximum capacity and Bank of America is actively recalibrating its structural outlook, this selloff is a function of temporary multiple digestion, not fundamental decay. 2. The Problem with Chasing Equity Dips Trying to time a precise bottom on a high-beta

Maybe I hope idk wat happend

Its all to expensive anyway

A leading global optical manufacturer recently partnered with YXT.com Group Holding Limited ( $YXT.COM GROUP HOLDING LIMITED(YXT)$ ) to upgrade its new employee development and workforce capability system through digital tools and AI-enabled practice coaching. After the project was launched, the company reported a 68% improvement in management productivity, first-year attrition falling to 8.9%, and a 95% role competency rate. These results suggest that enterprise learning systems are no longer just tools for managing courses and training records. They can also support role capability development, organizational knowledge capture, and execution efficiency. For YXT, the project is a concrete example of its intelligent productivity strategy being appl

Hey everyone, Last Friday's NFP shock gave us a real-time test of the framework we discussed just two hours before the print. While the market was leaning hard into the rate-cut story, I flagged two things: low expectations did not automatically mean a weak labor market, and the market was not pricing in enough risk around a higher-for-longer or more hawkish repricing. Since the livestream was conducted in Chinese, the slides shown below are excerpts from the original Chinese PPT used during the session. The print came in hot, risk assets came under pressure, and the cross-asset moves largely followed the path we discussed in the livestream. [Call #1: The leading indicators were already warning us] The market was leaning too far into the dovish story that night, but the underlying data tol

Find out more here:Join me on Tiger Trade! Sign up with my invite and we both get up to USD 300*! You'll also unlock up to SGD 1,000* in welcome perks.

A one-day wipeout of this magnitude feels dramatic, but it doesn't automatically mean the AI and semiconductor story is broken. The sector had become one of the most crowded trades in the market, with valuations pricing in near-perfect execution and years of continued AI spending growth. The key question isn't whether stocks bounced 5-6% after hours. The key question is whether hyperscalers continue spending aggressively on AI infrastructure over the next 12-24 months. If that remains intact, this could prove to be a healthy reset that shakes out leverage and speculative excess. That said, falling 15-30% in a day is often a sign that forced selling and deleveraging are occurring. Those events can take time to fully unwind, and sharp relief rallies are common even during larger corrections.

Share share now go go go

Every dip in the next 6 to 12 months is healthy in the short to mid term. Just buy the dip or wait it out.  Even my puts underwater, I just roll.  Don't scared. Buy at support. 

$NVDA$  opportunity 

$GraniteShares 2x Long NVDA Daily ETF(NVDL)$ should have taken profit when at $130. I guess it's time to top up

Nvidia’s selloff feels driven more by fear than fundamentals. Broadcom’s stumble and geopolitical tensions gave investors an excuse to take profits, but the underlying AI demand story remains intact. Unless there’s evidence that hyperscaler spending is slowing or AI infrastructure demand is rolling over, this looks like a healthy correction in a crowded trade rather than the end of the AI bull market. The risk isn’t collapsing demand—it’s whether expectations had simply gotten too far ahead of reality.

Intel: the most cornered worrying about its future

Good, it's worth to invest, pls go go go go!!!

$NVIDIA(NVDA)$   US stocks kicked off the week on the downside, with a surge in global bond yields, another rise in oil prices, and deeper concerns over the fate of the astonishing tech rally heading into the back half of the month. The broader move in bonds, which lifted 10-year U.S. Treasury yields to as high at 4.631% in overnight trading and took 30-year paper to 5.159%, near the highest levels since 2007, was the more concerning aspect of the market's recent repricing, and suggests a decoupling from global oil prices that could test the tech rally over the coming weeks. Benchmark 10-year notes last traded at 4.597%, still the highest in more than a year, after adding more than 20 basis points last wee

$NVIDIA(NVDA)$   Nvidia maintains its AI chip dominance, with robust and sustainable growth rates, while expanding opportunities beyond hyperscalers. NVDA's Vera CPU presents a $20 billion annualized opportunity, but GPUs and integrated systems will continue driving the bulk of future growth. Despite underperformance versus peers and market skepticism, NVDA trades at just above 20x forward earnings, with EPS CAGR projected above 40% for three years. NVDA's broadening customer base, deep integration, and VC-style investments underpin a strong moat.

Nvidia gave up its hard-earned Computex gains after sliding 3.62% on Wednesday, pulled down by Broadcom's post-earnings drop and Middle East-driven risk-off sentiment. This macro-shakedown dragged the entire AI chip sector into a temporary broad pullback. The "No-Cooling" Thesis (The [IDEA] Angle): Is it time to panic? Far from it. This dip is presenting us with a textbook fundamental mismatch. While macro sentiment pushed the price down, the physical tech industry is screaming the exact opposite. TSMC’s CEO just explicitly reiterated that global AI demand shows "no signs of cooling." Simultaneously, Bank of America (BofA) recalibrated its NVDA outlook upward, keeping the long-term compute narrative completely intact. My unique view here is that the market is mispricing short-term geopolit

For long-term investors, a 3-4% pullback in NVIDIA is not especially meaningful. The core thesis remains intact: hyperscaler AI spending is still growing, TSMC continues to report strong demand, and NVIDIA remains the dominant supplier of AI accelerators. That said, the market is no longer pricing NVIDIA as a cyclical chip company. Expectations are extremely high. Broadcom's reaction shows that even strong results can trigger selloffs if guidance fails to exceed lofty forecasts. My approach would be gradual accumulation rather than trying to time the bottom. Geopolitical headlines and profit-taking could create further volatility, but waiting for complete clarity often means buying at higher prices later. The key question is not whether NVDA can grow, but whether growth can continue to out

When a sector bellwether like Broadcom stumbles and geopolitical risk-off sentiment spikes, algorithms ruthlessly flush out short-term leverage—dragging the entire AI chip sector down with it. If you are looking at this dip, here is a data-driven perspective on how to play the entry point: 1. The Fundamental Secular Moat is Intact As noted in ⁠image_9.png⁠, TSMC’s CEO explicitly reiterated that AI demand shows "no signs of cooling." TSMC is the ultimate bottleneck and truth-teller for global hardware demand. If their fabs are running at maximum capacity and Bank of America is actively recalibrating its structural outlook, this selloff is a function of temporary multiple digestion, not fundamental decay. 2. The Problem with Chasing Equity Dips Trying to time a precise bottom on a high-beta

Papa Huang on HBO?! I definitely will watch! Number #1 fan! 😍💯😍💯 $NVIDIA(NVDA)$  $NVDA 20270319 200.0 CALL$ 

$NVIDIA(NVDA)$  pull back may not happen any soon?

A 3.6% pullback in NVIDIA is hardly unusual after its massive run. The key question is whether the investment thesis has changed. So far, AI infrastructure spending remains strong, hyperscalers continue investing aggressively, and TSMC's demand commentary suggests the underlying trend is intact. That said, I would not rush to chase every dip. Geopolitical tensions can create further volatility, and semiconductor stocks have become crowded trades. A deeper correction of 10-15% would offer a more attractive risk-reward profile than a routine 3-4% pullback. For long-term investors, gradual accumulation still makes sense. For those with limited cash, patience may be rewarded given stretched valuations and elevated market expectations. The AI compute story remains compelling, but sentiment can

🚀 NVIDIA's Next Move Isn't About GPUs Anymore... It's About Owning the Entire AI Ecosystem Many investors still see NVIDIA as a "GPU company." I think that's becoming outdated. At Computex, Jensen Huang didn't just launch another chip. He revealed a strategy that attacks multiple trillion-dollar markets simultaneously: ✅ AI Datacenters (Blackwell, Rubin) ✅ AI Factories (DSX digital twin platform) ✅ Robotics & Autonomous Systems ✅ Enterprise AI Software ✅ AI PCs powered by NVIDIA silicon The most interesting development isn't the Windows PC itself. It's the idea that NVIDIA wants to become the operating system of the AI economy. Think about it: CUDA locks in developers DGX powers AI training Omniverse designs digital factories DSX simulates factories before construction AI PCs bring NVI