To The Moon

DRAM is the hottest for now due to the HBM and storage frenzy. NASA could potential be a surprise , depending on SpaceX IPO

Buying the "current highest-alpha node" of the AI industry chain. Core logic: compute demand from companies like Anthropic is growing 5x faster than storage, making storage the most certain bottleneck right now. Premium HBM capacity is monopolized by three companies — China cannot replicate this.

DRAM ETF has consistently underperformed it's mix of constituents of high performing memory stocks. Have a look at its composition and the price of DRAM underperforms even Micron. Better off just buying Micron honestly.  DRAM supposedly have exposure to the super performing Kioxia in Japan but still unable to show our performance to even its lousiest constituent. 

$ARM Holdings(ARM)$  330 next week $SanDisk Corp.(SNDK)$  $Lumentum(LITE)$  boom

DRAM will be doubled up by 2028

If I had to rank AI themes for the next 12 months: 🥇 Memory/HBM: Still the clearest bottleneck. AI compute can be added, but HBM supply remains constrained. Names like Micron and SK Hynix are direct beneficiaries. 🥈 Power & Data Centres: AI demand ultimately hits power limits. Utilities, cooling, electrical equipment and data centre infrastructure could become the next constraint. 🥉 Optical Communications: Essential for connecting AI clusters. Strong growth, but more cyclical and competitive. 4️⃣ Space Economy: Massive long-term potential, especially satellite connectivity and launch services, but execution risk remains high. 5️⃣ AI PCs: Likely a slower replacement cycle than the market hopes. For most investors, I'd favour thematic ETFs over stock-picking. AI winners can change quickl

when it's too crowded  ...

If investing $1,000 today and choosing only one from the image, I'd rank them like this: Rank ETF Theme Risk Growth Potential 1 DRAM AI memory chips (HBM, DRAM, NAND) High Very High 2 TCAI Data centers & AI infrastructure Medium-High High 3 NASA Space economy High High 4 IVES Broad AI leaders Medium Moderate-High 5 AIPO Energy & power for AI Medium Moderate Why DRAM looks strongest right now The AI boom is creating a major shortage of high-bandwidth memory (HBM) chips used by AI servers. DRAM is concentrated in companies such as Micron, Samsung, and SK Hynix, which are benefiting directly from this demand. The ETF has become one of the fastest-growing ETFs ever and has dramatically outperformed broader AI funds so far. pls do your own DD

For now, all bets is on Space X,! We should see an instant push for those that take off together with its tailwind.

1. $Roundhill Memory ETF(DRAM)$ Listed: 2026.4.2 | Today: $60.73 (+0.36%) | Since listing: +119% Theme: AI Memory / HBM / Storage Chips Buying the "current highest-alpha node" of the AI industry chain. Core logic: compute demand from companies like Anthropic is growing 5x faster than storage, making storage the most certain bottleneck right now. Premium HBM capacity is monopolized by three companies — China cannot replicate this.

nice review

i prefer DRAM all the way ! its best and great

Whilst individual stocks may have a better return ETF spreads your risk to eliminate any bad stock loss. ETFS also are for a lazy less stressful way of investing having not to diligently check individual prices daily. a great way to hedge your bets. But they come at a price so also check the ETF management fees as all are not the same and have a wide variance.

Nice summary

Etf is better. Single stock is more volatile.

If I had to rank the AI chain today, I would separate it into three buckets: 1. Power & infrastructure (highest conviction, longest runway) The market spent 2023-2025 obsessing over GPUs. The next bottleneck is increasingly electricity, cooling, transformers, grid upgrades, and data centre infrastructure. Goldman Sachs estimates data centre power demand could rise over 200% by 2030.  Names and themes linked to power, cooling, nuclear, and digital infrastructure may have a more durable runway because AI cannot scale without physical energy and facilities. 2. Memory & storage (strongest momentum) HBM has become the critical bottleneck in AI servers. New memory-focused ETFs such as DRAM have attracted enormous inflows and delivered explosive gains.  The risk: memory is still

Have been using tiger platform for option. I Very good and easy to use it.

The AI chain is becoming so broad that stock picking and ETF investing are now two very different bets. Stock picking works best when you correctly identify the bottleneck before Wall Street fully prices it. That was NVIDIA in 2023, HBM memory in 2025, and arguably power, cooling and photonics today. ETF investing works better when you believe AI spending will keep expanding, but you are less certain which winner ultimately captures the profit pool. My current ranking: 1. Memory (Most bullish near-term) The market has realised AI is not just a GPU story. HBM supply remains constrained, pricing power is strong, and AI servers require enormous memory scaling. Recent launches like the Roundhill DRAM ETF show how aggressively capital is rotating into this theme.  2. Data centres + power T

ETFs spread risk while single stock seems higher risk with higher reward. Somehow enjoy selecting single stock which can be interesting while challenging.

Writing about finance since 2016 has taught me a lot. But more importantly, it’s taught me what not to believe. After nearly two decades of personal experience and studying the greats, my investing principles are defined just as much by the myths I reject as the truths I accept. Here are 4 investing illusions I refuse to buy into: ❌ Myth 1: Active Stock Picking Beats the Market The reality? Most stock pickers vastly underperform the broader market. Even Wall Street professionals fail at this consistently—a truth proven from the 1970s all the way to today’s SPIVA reports. The hard truth: If your financial plan requires a magical 15%–20% annualized return to succeed, your portfolio isn't the problem—your capital is. You are trying to build massive wealth with too little seed money. The fix:

DRAM ETF has consistently underperformed it's mix of constituents of high performing memory stocks. Have a look at its composition and the price of DRAM underperforms even Micron. Better off just buying Micron honestly.  DRAM supposedly have exposure to the super performing Kioxia in Japan but still unable to show our performance to even its lousiest constituent. 

Buying the "current highest-alpha node" of the AI industry chain. Core logic: compute demand from companies like Anthropic is growing 5x faster than storage, making storage the most certain bottleneck right now. Premium HBM capacity is monopolized by three companies — China cannot replicate this.

$ARM Holdings(ARM)$  330 next week $SanDisk Corp.(SNDK)$  $Lumentum(LITE)$  boom

The AI industry chain is now clear: money is flowing from computing power into storage, optical communications, data centers, power, and space. The question is — do you pick stocks one by one, or just buy a thematic ETF? Between 2025–2026, 5 new ETFs targeting AI sub-sector themes have just listed, covering different stages of the industry chain from memory to space. Which direction are you bullish on? 1. $Roundhill Memory ETF(DRAM)$ Listed: 2026.4.2 | Today: $60.73 (+0.36%) | Since listing: +119% Theme: AI Memory / HBM / Storage Chips Buying the "current highest-alpha node" of the AI industry chain. Core logic: compute demand from companies like Anthropic is growing 5x faster than storage, making storage the most certain bottlenec

DRAM is the hottest for now due to the HBM and storage frenzy. NASA could potential be a surprise , depending on SpaceX IPO

The Silicon Chokepoint: Why DRAM ETF is Crushing the New ETF Class 🌟🌟🌟The global investment playground has undergone a massive structural shift.  The era of high velocity hyper targeted thematic ETFs has arrived with much fanfare. 5 highly specialised ETFs have entered the arena, completely reshaping how capital accesses modern secular trends:  DRAM, AIPO, IVES, TCAI and NASA ETFs. Every single one of these funds claims to hold the definitive golden ticket to the future.  But if you strip away the marketing gloss and dive deeper, only one holds the ultimate undisputed throne of real world outperformance: DRAM ETF. What is Alpha?  In the cold clinical world of portfolio management, Alpha represents the excess return an investment vehicle generates relative to a broad mar

If I had to rank AI themes for the next 12 months: 🥇 Memory/HBM: Still the clearest bottleneck. AI compute can be added, but HBM supply remains constrained. Names like Micron and SK Hynix are direct beneficiaries. 🥈 Power & Data Centres: AI demand ultimately hits power limits. Utilities, cooling, electrical equipment and data centre infrastructure could become the next constraint. 🥉 Optical Communications: Essential for connecting AI clusters. Strong growth, but more cyclical and competitive. 4️⃣ Space Economy: Massive long-term potential, especially satellite connectivity and launch services, but execution risk remains high. 5️⃣ AI PCs: Likely a slower replacement cycle than the market hopes. For most investors, I'd favour thematic ETFs over stock-picking. AI winners can change quickl

If I had to rank the AI chain today, I would separate it into three buckets: 1. Power & infrastructure (highest conviction, longest runway) The market spent 2023-2025 obsessing over GPUs. The next bottleneck is increasingly electricity, cooling, transformers, grid upgrades, and data centre infrastructure. Goldman Sachs estimates data centre power demand could rise over 200% by 2030.  Names and themes linked to power, cooling, nuclear, and digital infrastructure may have a more durable runway because AI cannot scale without physical energy and facilities. 2. Memory & storage (strongest momentum) HBM has become the critical bottleneck in AI servers. New memory-focused ETFs such as DRAM have attracted enormous inflows and delivered explosive gains.  The risk: memory is still

DRAM will be doubled up by 2028

If investing $1,000 today and choosing only one from the image, I'd rank them like this: Rank ETF Theme Risk Growth Potential 1 DRAM AI memory chips (HBM, DRAM, NAND) High Very High 2 TCAI Data centers & AI infrastructure Medium-High High 3 NASA Space economy High High 4 IVES Broad AI leaders Medium Moderate-High 5 AIPO Energy & power for AI Medium Moderate Why DRAM looks strongest right now The AI boom is creating a major shortage of high-bandwidth memory (HBM) chips used by AI servers. DRAM is concentrated in companies such as Micron, Samsung, and SK Hynix, which are benefiting directly from this demand. The ETF has become one of the fastest-growing ETFs ever and has dramatically outperformed broader AI funds so far. pls do your own DD

Writing about finance since 2016 has taught me a lot. But more importantly, it’s taught me what not to believe. After nearly two decades of personal experience and studying the greats, my investing principles are defined just as much by the myths I reject as the truths I accept. Here are 4 investing illusions I refuse to buy into: ❌ Myth 1: Active Stock Picking Beats the Market The reality? Most stock pickers vastly underperform the broader market. Even Wall Street professionals fail at this consistently—a truth proven from the 1970s all the way to today’s SPIVA reports. The hard truth: If your financial plan requires a magical 15%–20% annualized return to succeed, your portfolio isn't the problem—your capital is. You are trying to build massive wealth with too little seed money. The fix:

when it's too crowded  ...

The AI chain is becoming so broad that stock picking and ETF investing are now two very different bets. Stock picking works best when you correctly identify the bottleneck before Wall Street fully prices it. That was NVIDIA in 2023, HBM memory in 2025, and arguably power, cooling and photonics today. ETF investing works better when you believe AI spending will keep expanding, but you are less certain which winner ultimately captures the profit pool. My current ranking: 1. Memory (Most bullish near-term) The market has realised AI is not just a GPU story. HBM supply remains constrained, pricing power is strong, and AI servers require enormous memory scaling. Recent launches like the Roundhill DRAM ETF show how aggressively capital is rotating into this theme.  2. Data centres + power T

1. $Roundhill Memory ETF(DRAM)$ Listed: 2026.4.2 | Today: $60.73 (+0.36%) | Since listing: +119% Theme: AI Memory / HBM / Storage Chips Buying the "current highest-alpha node" of the AI industry chain. Core logic: compute demand from companies like Anthropic is growing 5x faster than storage, making storage the most certain bottleneck right now. Premium HBM capacity is monopolized by three companies — China cannot replicate this.

Whilst individual stocks may have a better return ETF spreads your risk to eliminate any bad stock loss. ETFS also are for a lazy less stressful way of investing having not to diligently check individual prices daily. a great way to hedge your bets. But they come at a price so also check the ETF management fees as all are not the same and have a wide variance.

For now, all bets is on Space X,! We should see an instant push for those that take off together with its tailwind.

i prefer DRAM all the way ! its best and great

nice review

Nice summary

Etf is better. Single stock is more volatile.