To The Moon

$Vistra Energy Corp.(VST)$, $Constellation Energy Corp(CEG)$. Power gap is widening. At the end of the AI compute chain, there's just electricity demand. Long-term certainty is high. The window hasn't opened yet — but the direction is clear.

Technical analysis shows a short decline but long term rise. But it appears to be overvalued at the moment. @gordieeee  @ahshan  @peirong37  @Qing Yan  @沙隆巴斯對你股票使用黑卡  @Justin bala  @gnustiy  @TigerPM  @Tiger Trade Feed  

This is worth your time reading 

Very bullish on AMD price target $600

10% more till the end of this year. Let's go.😊

This is worth reading 

$NVIDIA(NVDA)$ + $Advanced Micro Devices(AMD)$. Where the AI wave started, where capital concentrated first. Valuations are high. Most retail investors entered late here.

AMD's 140% Rally Isn't Stopping? Institutions Bet Another 25% Upside U.S. AI and semiconductor stocks surged again on Tuesday as capital aggressively rotated back into high-beta AI hardware names. $Advanced Micro Devices(AMD)$   jumped 8%, extending its breakout rally, while $Micron Technology(MU)$   soared 21%, pushing its market capitalization above $1 trillion for the first time and reigniting momentum across the entire AI chip and memory space. Markets are increasingly pricing in a clear narrative: AI capital spending is not slowing down — it is entering another phase of acceleration. Against that backdrop, AMD's options ma

please take your time to read  

Take your time to read 

With AI infrastructure scaling exponentially, these foundational architecture plays face limitless growth, offering investors the highest captured upside in the market. 🚀

Wow... this is worth reading 

A number of speculative 'Next Nvidia' but none can be direct replacement of Nvidia's complete market dominance.

I buy the supply-gap thesis, but not blindly at any price. $MU’s alpha window still looks open because AI servers need more HBM, DRAM, and high-performance storage, while 2026 HBM supply is reportedly sold out and pricing remains tight. That supports the “locked-in” thesis. But after the huge rally and trillion-dollar narrative, the easy re-rating may already be partly priced. The risk is not demand collapse, but cycle ceiling + expectation risk: if Samsung/SK Hynix add supply faster, or hyperscalers slow capex, MU can derate sharply. Optical likely gets the next rotation, especially CPO/800G/1.6T networking names, because compute clusters need faster, lower-power interconnects. Power is the deeper bottleneck: if electricity becomes the constraint, investors may rotate into power, cooling

$Advanced Micro Devices(AMD)$’s recent mega-announcement to invest over $10 billion directly into Taiwan’s AI and semiconductor ecosystem is a massive statement of intent. Teaming up with key players like ASE and SPIL for advanced 2.5D packaging, preparing their next-gen 2nm "Venice" CPUs, and laying the groundwork for the Instinct MI450X GPU shows that CEO Lisa Su is building a multi-year foundation. However, looking at the structural numbers, calling AMD the "New Nvidia" requires some serious ground rules. I am writing this article as I have both AMD and Nvidia in my long-term tech portfolio, and I feel that it could be a good time to explore investing in AMD for short-mid term to make some profits, but Nvidia with its ecosystem expanding, it is

Will just dca into stocks that I have convictions in, without worry too much about timing the market. After all time in the market is better.

still stage 1 and 3. late for stage 2 and don't chase

I’m still highest conviction on the memory layer of the AI stack. GPUs get the headlines, but HBM/DRAM are becoming the real throughput bottlenecks. Right now the stack feels like: Compute Memory Networking/optical Power $MU still has room if the supply lock-in thesis holds, but I think optical and power infra are the next major rotations once AI scaling hits physical limits instead of compute limits.

🌟🌟🌟Despite reaching the historic USD 1 Trillion market capitalisation milestone, $Micron Technology(MU)$ is undervalued. Why? Micron has triggered a high margin supply constraint across the entire global tech grid.  This is because an AI chip requires 3 times the wafer footprint of a standard phone or PC chip. With capacity 100% spoken for through 2026 and 2027 orders locked in, Micron's 7.7x Forward P/E ratio means that investors are essentially buying an enterprise monopoly at a deep discount. @Tiger_comments @TigerStars @Tiger_SG

1. Within the artificial intelligence ai stack I am across all parts of the stack 2. $Micron Technology(MU)$ is highlight valued due to the shortage of supply of memory this year which is forecast to continue to next year prior to resumption of manufacturing 3. $Micron Technology(MU)$ provides both memory and storage and profits from the decision by antropic to increase storage. Optical is networking which competes with other providers 4. Power is in short supply and is a necessary component for high technology and is investible

$Advanced Micro Devices(AMD)$’s recent mega-announcement to invest over $10 billion directly into Taiwan’s AI and semiconductor ecosystem is a massive statement of intent. Teaming up with key players like ASE and SPIL for advanced 2.5D packaging, preparing their next-gen 2nm "Venice" CPUs, and laying the groundwork for the Instinct MI450X GPU shows that CEO Lisa Su is building a multi-year foundation. However, looking at the structural numbers, calling AMD the "New Nvidia" requires some serious ground rules. I am writing this article as I have both AMD and Nvidia in my long-term tech portfolio, and I feel that it could be a good time to explore investing in AMD for short-mid term to make some profits, but Nvidia with its ecosystem expanding, it is

AMD's 140% Rally Isn't Stopping? Institutions Bet Another 25% Upside U.S. AI and semiconductor stocks surged again on Tuesday as capital aggressively rotated back into high-beta AI hardware names. $Advanced Micro Devices(AMD)$   jumped 8%, extending its breakout rally, while $Micron Technology(MU)$   soared 21%, pushing its market capitalization above $1 trillion for the first time and reigniting momentum across the entire AI chip and memory space. Markets are increasingly pricing in a clear narrative: AI capital spending is not slowing down — it is entering another phase of acceleration. Against that backdrop, AMD's options ma

$NVIDIA(NVDA)$earnings are in the rearview. Where does the AI capital cycle flow next? The diffusion map is clear — money is rotating down the stack across 5 stages. The alpha window is different at each one. Stage 1: GPU & CPU $NVIDIA(NVDA)$ + $Advanced Micro Devices(AMD)$. Where the AI wave started, where capital concentrated first. Valuations are high. Most retail investors entered late here. Stage 2: Memory (actively running — highest alpha right now) $Micron Technology(MU)$ HBM demand surge, severe supply-demand imbalance, price and volume both rising.

$Vistra Energy Corp.(VST)$, $Constellation Energy Corp(CEG)$. Power gap is widening. At the end of the AI compute chain, there's just electricity demand. Long-term certainty is high. The window hasn't opened yet — but the direction is clear.

Technical analysis shows a short decline but long term rise. But it appears to be overvalued at the moment. @gordieeee  @ahshan  @peirong37  @Qing Yan  @沙隆巴斯對你股票使用黑卡  @Justin bala  @gnustiy  @TigerPM  @Tiger Trade Feed  

I buy the supply-gap thesis, but not blindly at any price. $MU’s alpha window still looks open because AI servers need more HBM, DRAM, and high-performance storage, while 2026 HBM supply is reportedly sold out and pricing remains tight. That supports the “locked-in” thesis. But after the huge rally and trillion-dollar narrative, the easy re-rating may already be partly priced. The risk is not demand collapse, but cycle ceiling + expectation risk: if Samsung/SK Hynix add supply faster, or hyperscalers slow capex, MU can derate sharply. Optical likely gets the next rotation, especially CPO/800G/1.6T networking names, because compute clusters need faster, lower-power interconnects. Power is the deeper bottleneck: if electricity becomes the constraint, investors may rotate into power, cooling

This is worth your time reading 

Very bullish on AMD price target $600

10% more till the end of this year. Let's go.😊

🌟🌟🌟Despite reaching the historic USD 1 Trillion market capitalisation milestone, $Micron Technology(MU)$ is undervalued. Why? Micron has triggered a high margin supply constraint across the entire global tech grid.  This is because an AI chip requires 3 times the wafer footprint of a standard phone or PC chip. With capacity 100% spoken for through 2026 and 2027 orders locked in, Micron's 7.7x Forward P/E ratio means that investors are essentially buying an enterprise monopoly at a deep discount. @Tiger_comments @TigerStars @Tiger_SG

This is worth reading 

$NVIDIA(NVDA)$ + $Advanced Micro Devices(AMD)$. Where the AI wave started, where capital concentrated first. Valuations are high. Most retail investors entered late here.

I’m currently most bullish on Stage 2 — memory, especially $Micron Technology(MU)$ . HBM has become a critical bottleneck for AI, and supply still looks very tight due to EUV restrictions and advanced packaging limitations. I think the market still underestimates how important memory is compared to GPUs, which is why MU still has room to run. I also believe optical networking could be the next rotation. As AI workloads explode, bandwidth demand will surge, making companies like $COHERENT(COHR)$ and $POET Technologies Inc(POET)$ increasingly interesting. AI is no longer just ab

With AI infrastructure scaling exponentially, these foundational architecture plays face limitless growth, offering investors the highest captured upside in the market. 🚀

please take your time to read  

Take your time to read 

1. Within the artificial intelligence ai stack I am across all parts of the stack 2. $Micron Technology(MU)$ is highlight valued due to the shortage of supply of memory this year which is forecast to continue to next year prior to resumption of manufacturing 3. $Micron Technology(MU)$ provides both memory and storage and profits from the decision by antropic to increase storage. Optical is networking which competes with other providers 4. Power is in short supply and is a necessary component for high technology and is investible

I’m still highest conviction on the memory layer of the AI stack. GPUs get the headlines, but HBM/DRAM are becoming the real throughput bottlenecks. Right now the stack feels like: Compute Memory Networking/optical Power $MU still has room if the supply lock-in thesis holds, but I think optical and power infra are the next major rotations once AI scaling hits physical limits instead of compute limits.

A number of speculative 'Next Nvidia' but none can be direct replacement of Nvidia's complete market dominance.

Wow... this is worth reading