To The Moon

$NVIDIA(NVDA)$’s GPUs already power much of the AI boom. Now the company wants Wall Street to view them differently: not simply as technology hardware, but as productive assets that can help support billions of dollars of debt. NVIDIA is working with major financial institutions on an initiative aimed at enabling as much as $500 billion of AI infrastructure financing. The broader idea is to bring institutional capital into AI data centers and make NVIDIA-powered computing infrastructure more financeable. That creates a new question for investors: Can an expensive GPU become collateral — and will it hold enough value for Wall Street to lend against it? 🏗️ Why Does NVIDIA Need Wall Street? The AI boom is becoming extraordinarily capi

Vouchers up for grabs! Find out more here:TigerTrade Welcome to TigerTrade

The $150 Billion Buyback. On Mon, 28 Sep 2026, $NVIDIA(NVDA)$’s CEO Jensen Huang’s announced a record $150 billion share-buyback, the single largest authorization increases in US corporate history. Honestly, it was a direct response to market doubts about NVDA’s valuation and the durability of AI boom - more than a capital-allocation update. Actually, I have touched on the #1 chipmaker’s valuation concerns in my last Thursday post. (click here ! to read) By lifting the company’s remaining repurchase capacity to $235 billion thru’ FY 2028, NVDA effectively told investors that, in management’s view, the be

Longer term, NVIDIA gave preliminary guidance for about 70% revenue growth in FY2028, which is a very strong signal on AI infrastructure demand.  NVIDIA also just authorized an additional $150B share-buyback program, bringing remaining authorization to about $235B Sound good on a long run. 

Recent trading sessions highlighted profound intra-sector bifurcation across the artificial intelligence semiconductor landscape. While NVIDIA (NVDA) exhibited typical high-beta volatility—surging 1.68% intraday before succumbing to a broader sector selloff to close down 0.72%—alternative infrastructure plays such as Arm Holdings (ARM) and Broadcom (AVGO) demonstrated remarkable decoupling, gaining 3.58% and 1.58% respectively. In this article, we would like to share how we look beyond the titan in terms of semiconductor divergence, risk rotation, and how we can do a portfolio weighting for $NVIDIA(NVDA)$ NVIDIA, $ARM Holdings(ARM)$ ARM, and $Broadcom(AVGO)$ Broad

Weekly Overview Treasuries are the market’s pricing anchor. With the 10-year Treasury yield above 5%, equities, gold, and crypto assets all need to be reassessed in light of high-rate pressure. The Treasury Department’s earlier buybacks failed to reverse the trend in long-dated bonds. A peak in yields still needs confirmation. If oil remains range-bound, and with the two remaining rate hikes expected this year already priced in, the rise in yields may slow. But an escalation in U.S.–Iran tensions or more hawkish statements from the Fed could change that assessment. The conditions for a bond rebound are building. CTAs’ positioning in 10-year Treasuries is low, while speculative net positions in 10-year Treasuries have moved from deeply bearish to neutral, increasing the possibility of a bon

The Federal Reserve raised rates by 25 basis points in September, lifting the target range for the federal funds rate to 3.75%–4.00%. With inflation pressure prompting a shift in policy, rate expectations have again become a key driver of asset prices. Options positioning on September 25 showed a defensive tilt even as Nasdaq 100 futures rebounded: traders added near-the-money puts. Gold call positions expanded at higher strikes alongside downside protection, while new Bitcoin call positions appeared to reflect a short-term test of the upside. Against the backdrop of the rate hike, traders have not moved uniformly toward risk. The next question is whether prices can confirm the signals at key levels. The charts below show trading volume and open interest across major CME Group futures opti

$NVIDIA(NVDA)$ New Test Isn’t AI Demand — It’s Expectations Nvidia has become so closely associated with the AI trade that almost every move in the stock gets interpreted through the same lens: AI demand. But Monday’s action raises a different question. When the broader semiconductor group sells off sharply while Nvidia holds up, perhaps the market isn’t simply choosing Nvidia as the “winner.” It may be separating companies with strong execution from companies where expectations have become harder to justify. That distinction could become increasingly important. Nvidia has built an unusually strong position in accelerated computing, but the stock also carries extremely high expectations. At this size, simply delivering good results may not be enou

$NVIDIA(NVDA)$: Leadership or Last One Standing? Nvidia gained 1.68% on Monday while the broader semiconductor group was getting hit hard. Intel and SK Hynix both dropped around 5%, while SOXL fell about 6%.  That divergence is what caught my attention. Is Nvidia showing genuine relative strength, or is the market simply rotating toward the biggest and most liquid AI name when everything else gets sold? There are still plenty of reasons for investors to focus on Nvidia’s position in the AI infrastructure buildout. But the valuation question hasn’t disappeared, and Michael Burry remains bearish on Nvidia even after reducing his shorter-dated put exposure.  For me, the interesting question isn’t whether Nvidia is strong today. It’s whether that st

$NVIDIA(NVDA)$’s GPUs already power much of the AI boom. Now the company wants Wall Street to view them differently: not simply as technology hardware, but as productive assets that can help support billions of dollars of debt. NVIDIA is working with major financial institutions on an initiative aimed at enabling as much as $500 billion of AI infrastructure financing. The broader idea is to bring institutional capital into AI data centers and make NVIDIA-powered computing infrastructure more financeable. That creates a new question for investors: Can an expensive GPU become collateral — and will it hold enough value for Wall Street to lend against it? 🏗️ Why Does NVIDIA Need Wall Street? The AI boom is becoming extraordinarily capi

The $150 Billion Buyback. On Mon, 28 Sep 2026, $NVIDIA(NVDA)$’s CEO Jensen Huang’s announced a record $150 billion share-buyback, the single largest authorization increases in US corporate history. Honestly, it was a direct response to market doubts about NVDA’s valuation and the durability of AI boom - more than a capital-allocation update. Actually, I have touched on the #1 chipmaker’s valuation concerns in my last Thursday post. (click here ! to read) By lifting the company’s remaining repurchase capacity to $235 billion thru’ FY 2028, NVDA effectively told investors that, in management’s view, the be

Weekly Overview Treasuries are the market’s pricing anchor. With the 10-year Treasury yield above 5%, equities, gold, and crypto assets all need to be reassessed in light of high-rate pressure. The Treasury Department’s earlier buybacks failed to reverse the trend in long-dated bonds. A peak in yields still needs confirmation. If oil remains range-bound, and with the two remaining rate hikes expected this year already priced in, the rise in yields may slow. But an escalation in U.S.–Iran tensions or more hawkish statements from the Fed could change that assessment. The conditions for a bond rebound are building. CTAs’ positioning in 10-year Treasuries is low, while speculative net positions in 10-year Treasuries have moved from deeply bearish to neutral, increasing the possibility of a bon

The Federal Reserve raised rates by 25 basis points in September, lifting the target range for the federal funds rate to 3.75%–4.00%. With inflation pressure prompting a shift in policy, rate expectations have again become a key driver of asset prices. Options positioning on September 25 showed a defensive tilt even as Nasdaq 100 futures rebounded: traders added near-the-money puts. Gold call positions expanded at higher strikes alongside downside protection, while new Bitcoin call positions appeared to reflect a short-term test of the upside. Against the backdrop of the rate hike, traders have not moved uniformly toward risk. The next question is whether prices can confirm the signals at key levels. The charts below show trading volume and open interest across major CME Group futures opti

Recent trading sessions highlighted profound intra-sector bifurcation across the artificial intelligence semiconductor landscape. While NVIDIA (NVDA) exhibited typical high-beta volatility—surging 1.68% intraday before succumbing to a broader sector selloff to close down 0.72%—alternative infrastructure plays such as Arm Holdings (ARM) and Broadcom (AVGO) demonstrated remarkable decoupling, gaining 3.58% and 1.58% respectively. In this article, we would like to share how we look beyond the titan in terms of semiconductor divergence, risk rotation, and how we can do a portfolio weighting for $NVIDIA(NVDA)$ NVIDIA, $ARM Holdings(ARM)$ ARM, and $Broadcom(AVGO)$ Broad

Vouchers up for grabs! Find out more here:TigerTrade Welcome to TigerTrade

Longer term, NVIDIA gave preliminary guidance for about 70% revenue growth in FY2028, which is a very strong signal on AI infrastructure demand.  NVIDIA also just authorized an additional $150B share-buyback program, bringing remaining authorization to about $235B Sound good on a long run. 

$NVIDIA(NVDA)$ New Test Isn’t AI Demand — It’s Expectations Nvidia has become so closely associated with the AI trade that almost every move in the stock gets interpreted through the same lens: AI demand. But Monday’s action raises a different question. When the broader semiconductor group sells off sharply while Nvidia holds up, perhaps the market isn’t simply choosing Nvidia as the “winner.” It may be separating companies with strong execution from companies where expectations have become harder to justify. That distinction could become increasingly important. Nvidia has built an unusually strong position in accelerated computing, but the stock also carries extremely high expectations. At this size, simply delivering good results may not be enou

$NVIDIA(NVDA)$: Leadership or Last One Standing? Nvidia gained 1.68% on Monday while the broader semiconductor group was getting hit hard. Intel and SK Hynix both dropped around 5%, while SOXL fell about 6%.  That divergence is what caught my attention. Is Nvidia showing genuine relative strength, or is the market simply rotating toward the biggest and most liquid AI name when everything else gets sold? There are still plenty of reasons for investors to focus on Nvidia’s position in the AI infrastructure buildout. But the valuation question hasn’t disappeared, and Michael Burry remains bearish on Nvidia even after reducing his shorter-dated put exposure.  For me, the interesting question isn’t whether Nvidia is strong today. It’s whether that st