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[Midday In-Depth Analysis | Reappraising the Value of Storage Chains] Nvidia’s earnings look impressive, but the real bottleneck for AI lies in memory. HBM3E has a gross margin of 78%, far higher than traditional DRAM (25%). Three major memory suppliers monopolize 95% of capacity, with contracts locked in through 2029.
Data: Each Blackwell GPU requires 192GB of HBM, costing over $3,000. Annual HBM demand grows 40%, while supply increases only 6–8%, keeping the shortage going through 2028.
Valuation: Storage-related stocks trade at only 5–10x PE, while Nvidia trades at 35x and AMD at 45x. Even with similar AI exposure, the valuation gap is 5–7x. Memory is shifting from a cyclical stock to a growth stock.
On-chain perps can build positions in memory stocks 7x24 hours a day, without waiting for U.S. stock market hours.
$BTC $ETH $ONDO
#AlphaGBM #AI #Storage chip
Data: Each Blackwell GPU requires 192GB of HBM, costing over $3,000. Annual HBM demand grows 40%, while supply increases only 6–8%, keeping the shortage going through 2028.
Valuation: Storage-related stocks trade at only 5–10x PE, while Nvidia trades at 35x and AMD at 45x. Even with similar AI exposure, the valuation gap is 5–7x. Memory is shifting from a cyclical stock to a growth stock.
On-chain perps can build positions in memory stocks 7x24 hours a day, without waiting for U.S. stock market hours.
$BTC $ETH $ONDO
#AlphaGBM #AI #Storage chip
【Midday Deep Dive｜HBM from Monopoly to Competition】
In 2026, HBM supply is up 62% year-over-year. Samsung and Micron are ramping up capacity, and yield improvements are adding fuel—while CXMT has also entered the market, seemingly pointing to oversupply.
But demand is even stronger: HBM4 is entering mass production. Its unit price is about 2.5x that of HBM3. The jump in value directly offsets the release of new capacity.
The real turning point is yields—SK hynix holds the 50–55% share range, Micron stays firmly in second, and Samsung is still stuck in certification. Whichever company first clears the HBM4 validation will capture the incremental profits.
More importantly, the structure: HBM’s revenue share within memory manufacturers is rising rapidly. It transforms the past boom-and-bust cycle volatility into a growth curve with higher certainty. This is also the core reason why valuations need to be re-rated.
Memory PEs are still at 5–10x, while Nvidia is at 35x. On the same AI chain, the market only prices the engine—forgetting the fuel.
Perp on the chain, laying out 7x24 on storage—not waiting for the opening.
$ETH $BTC $ONDO
#AlphaGBM #AI #Memory Chips
In 2026, HBM supply is up 62% year-over-year. Samsung and Micron are ramping up capacity, and yield improvements are adding fuel—while CXMT has also entered the market, seemingly pointing to oversupply.
But demand is even stronger: HBM4 is entering mass production. Its unit price is about 2.5x that of HBM3. The jump in value directly offsets the release of new capacity.
The real turning point is yields—SK hynix holds the 50–55% share range, Micron stays firmly in second, and Samsung is still stuck in certification. Whichever company first clears the HBM4 validation will capture the incremental profits.
More importantly, the structure: HBM’s revenue share within memory manufacturers is rising rapidly. It transforms the past boom-and-bust cycle volatility into a growth curve with higher certainty. This is also the core reason why valuations need to be re-rated.
Memory PEs are still at 5–10x, while Nvidia is at 35x. On the same AI chain, the market only prices the engine—forgetting the fuel.
Perp on the chain, laying out 7x24 on storage—not waiting for the opening.
$ETH $BTC $ONDO
#AlphaGBM #AI #Memory Chips
【Midday Deep Dive｜A qualitative transformation: from cycles to infrastructure in storage】
Wall Street is still using old frameworks to price storage stocks. Traditional logic: DRAM price rises → earnings surge → stock prices spike → capacity oversupply → crash. But this round is completely different.
Three structural changes:
1）Contract-based HBM replaces spot-market games. Customers lock 3–5 years of capacity; non-refundable prepayments smooth out price fluctuations
2）Capacity expansion is constrained. Investing in a single HBM production line costs over $5 billion, with a 3-year build cycle—new players can’t easily enter
3）Demand anchors shift from PCs/phones to AI data centers. Growth curves move from cyclical to structural trends
Result: storage manufacturers’ profit margins stabilize above 70%, closer to SaaS than to manufacturing. But PE still values them like cyclical stocks at 5–10x.
NVIDIA applies the same margin at 35x; storage is 5x. The gap is narrowing, but it’s still far from closing.
On-chain perp can position the storage sector 24/7 and catch the revaluation window.
$ETH $ONDO $BTC
#AlphaGBM #AI #Storage chips
Wall Street is still using old frameworks to price storage stocks. Traditional logic: DRAM price rises → earnings surge → stock prices spike → capacity oversupply → crash. But this round is completely different.
Three structural changes:
1）Contract-based HBM replaces spot-market games. Customers lock 3–5 years of capacity; non-refundable prepayments smooth out price fluctuations
2）Capacity expansion is constrained. Investing in a single HBM production line costs over $5 billion, with a 3-year build cycle—new players can’t easily enter
3）Demand anchors shift from PCs/phones to AI data centers. Growth curves move from cyclical to structural trends
Result: storage manufacturers’ profit margins stabilize above 70%, closer to SaaS than to manufacturing. But PE still values them like cyclical stocks at 5–10x.
NVIDIA applies the same margin at 35x; storage is 5x. The gap is narrowing, but it’s still far from closing.
On-chain perp can position the storage sector 24/7 and catch the revaluation window.
$ETH $ONDO $BTC
#AlphaGBM #AI #Storage chips
【Midday In-depth Analysis｜Reassessing the Value of the Storage Chain】NVIDIA’s earnings report looks impressive, but the real bottleneck for AI is storage. HBM3E has a gross margin of 78%, far higher than traditional DRAM (25%). The three major storage players monopolize 95% of production capacity, with contracts locked in until 2029.
Data: Each Blackwell GPU requires 192GB of HBM, costing over $3,000. Annual HBM demand grows 40%, while supply increases only 6–8%, and the shortage persists through 2028.
Valuation: Storage stocks trade at a PE of only 5–10x, compared with NVIDIA at 35x and AMD at 45x. For similarly benefiting AI, valuation differs by 5–7x. Storage is shifting from a cyclical stock to a growth stock.
On-chain perps allow 24/7 positioning in storage stocks without waiting for U.S. market hours.
$ETH $BTC $ONDO
#AlphaGBM #AI #storage chips
Data: Each Blackwell GPU requires 192GB of HBM, costing over $3,000. Annual HBM demand grows 40%, while supply increases only 6–8%, and the shortage persists through 2028.
Valuation: Storage stocks trade at a PE of only 5–10x, compared with NVIDIA at 35x and AMD at 45x. For similarly benefiting AI, valuation differs by 5–7x. Storage is shifting from a cyclical stock to a growth stock.
On-chain perps allow 24/7 positioning in storage stocks without waiting for U.S. market hours.
$ETH $BTC $ONDO
#AlphaGBM #AI #storage chips
LITEUS+2.05%
SNDKUS+3.06%
ANETUS+1.19%
【Midday Deep Dive｜The Chain Reaction of Full-Scale HBM4 Certification】
Huang Renxun confirmed this month: Vera Rubin is now entering full-scale mass production. Micron, SK hynix, and Samsung have all passed HBM4 certification. For the first time in history, all three companies of the same generation were approved simultaneously.
So what does this mean? NVIDIA’s demand is so large that one supplier can’t handle it—meaning all three must deliver at the same time.
More crucial data points:
• SK hynix has accelerated delivery of HBM4E samples, while Samsung used 2nm to produce an HBM5 prototype
• HBM is taking up wafer production capacity, pushing QoQ contract prices for DDR4/DDR5 up by 80–90%
• DDR4 spot prices this week are $35.90, and supply continues to tighten
• Memory manufacturers’ HBM gross margin is 78%, already on par with NVIDIA
The logic is clear: AI expansion → HBM fights for capacity → traditional DRAM becomes even scarcer → the price-increase cycle lasts longer. Memory stocks’ PE remains only 5–10x, NVIDIA is at 35x, and valuation in the same sector differs by 7x.
With perpetual contracts on-chain, you can set up a 7x24 strategy to trade memory stocks and capture the valuation-repair window.
$ETH $BTC $ONDO
#AlphaGBM #AI #Memory chips
Huang Renxun confirmed this month: Vera Rubin is now entering full-scale mass production. Micron, SK hynix, and Samsung have all passed HBM4 certification. For the first time in history, all three companies of the same generation were approved simultaneously.
So what does this mean? NVIDIA’s demand is so large that one supplier can’t handle it—meaning all three must deliver at the same time.
More crucial data points:
• SK hynix has accelerated delivery of HBM4E samples, while Samsung used 2nm to produce an HBM5 prototype
• HBM is taking up wafer production capacity, pushing QoQ contract prices for DDR4/DDR5 up by 80–90%
• DDR4 spot prices this week are $35.90, and supply continues to tighten
• Memory manufacturers’ HBM gross margin is 78%, already on par with NVIDIA
The logic is clear: AI expansion → HBM fights for capacity → traditional DRAM becomes even scarcer → the price-increase cycle lasts longer. Memory stocks’ PE remains only 5–10x, NVIDIA is at 35x, and valuation in the same sector differs by 7x.
With perpetual contracts on-chain, you can set up a 7x24 strategy to trade memory stocks and capture the valuation-repair window.
$ETH $BTC $ONDO
#AlphaGBM #AI #Memory chips
Morning Signal Cards ⏰
V5 Momentum Engine Top 3:
1️⃣ SNDK 12-month momentum +1994%
2️⃣ LITE +1123%
3️⃣ ANET +892%
Top-of-trend signal: MU RSI is overbought at 78—watch for a short-term pullback; the AI sector crowding level has reached a historical high.
Key data:
• Storage cycle day 636
• HBM demand up 40% year-over-year, while supply only increases by 6–8%
• Storage stocks trade at PE 5–10x; Nvidia at 35x
• DDR4 spot price has risen 8.8 times from the bottom
• NVDA earnings report countdown: 59 days
On-chain PERP 7x, 24-hour positioning in storage stocks—seize the pullback opportunities.
$ONDO $ETH $BTC
#AlphaGBM #AI #storage chips
V5 Momentum Engine Top 3:
1️⃣ SNDK 12-month momentum +1994%
2️⃣ LITE +1123%
3️⃣ ANET +892%
Top-of-trend signal: MU RSI is overbought at 78—watch for a short-term pullback; the AI sector crowding level has reached a historical high.
Key data:
• Storage cycle day 636
• HBM demand up 40% year-over-year, while supply only increases by 6–8%
• Storage stocks trade at PE 5–10x; Nvidia at 35x
• DDR4 spot price has risen 8.8 times from the bottom
• NVDA earnings report countdown: 59 days
On-chain PERP 7x, 24-hour positioning in storage stocks—seize the pullback opportunities.
$ONDO $ETH $BTC
#AlphaGBM #AI #storage chips
LITEUS+2.05%
SNDKUS+3.06%
ANETUS+1.19%
LITEUS+2.05%
SNDKUS+3.06%
ANETUS+1.19%
【Midday Deep Dive｜MU financial report reveals the shift in storage pricing power】
Micron’s Q3 data center revenue first surpassed $25 billion, and HBM3E gross margin hit 78%, matching NVIDIA. This isn’t just a great earnings report—it’s a signal: storage pricing power is shifting from buyers to sellers.
Core logic: Microsoft and Google sign 3–5 year HBM locked-price contracts with non-refundable prepayment. Globally, only three companies can manufacture HBM, with supply growing 6–8% per year, while demand grows 40% per year. The supply-demand gap expands to 30%+ , making oligarchic pricing a reality.
Valuation contradiction: storage stocks trade at a PE of 5–10x versus GPU stocks at 35–45x. With both benefiting from the AI boom, the 5x valuation gap suggests the market is still pricing growth-oriented storage using a cyclical-stock framework.
With chain-based perps, you can deploy into the storage sector 24/7 without waiting for market open.
$BTC $ETH $ONDO
#AlphaGBM #AI #storage chips
Micron’s Q3 data center revenue first surpassed $25 billion, and HBM3E gross margin hit 78%, matching NVIDIA. This isn’t just a great earnings report—it’s a signal: storage pricing power is shifting from buyers to sellers.
Core logic: Microsoft and Google sign 3–5 year HBM locked-price contracts with non-refundable prepayment. Globally, only three companies can manufacture HBM, with supply growing 6–8% per year, while demand grows 40% per year. The supply-demand gap expands to 30%+ , making oligarchic pricing a reality.
Valuation contradiction: storage stocks trade at a PE of 5–10x versus GPU stocks at 35–45x. With both benefiting from the AI boom, the 5x valuation gap suggests the market is still pricing growth-oriented storage using a cyclical-stock framework.
With chain-based perps, you can deploy into the storage sector 24/7 without waiting for market open.
$BTC $ETH $ONDO
#AlphaGBM #AI #storage chips
【Midday Deep Dive｜HBM Economics Deconstructed】
A piece of HBM3E: 12-layer DRAM stacking, silicon through-silicon vias, with a yield rate of less than 60%. The manufacturing difficulty is akin to the 'Swiss watch' of the chip world.
Key data comparisons:
• HBM price per GB is $15-20, while regular DDR5 is only $2
• HBM gross margin is 78%, traditional DRAM is just 25%
• Price difference is 8 times, profit difference is 3 times
NVIDIA's B200 single card requires 192GB of HBM; without HBM, a GPU is just scrap metal. Building an HBM production line takes over 18 months and $5 billion in capex, with only 3 companies worldwide capable of doing it.
This is one of the most extreme supply-demand imbalances in semiconductor history. Storage stock P/E is only 5-10 times, and the market is still pricing it as a cyclical stock.
On-chain perp can lay out storage stocks 24/7, no need to wait for market open.
$BTC $ETH $ONDO
#AlphaGBM #AI #storage chips
A piece of HBM3E: 12-layer DRAM stacking, silicon through-silicon vias, with a yield rate of less than 60%. The manufacturing difficulty is akin to the 'Swiss watch' of the chip world.
Key data comparisons:
• HBM price per GB is $15-20, while regular DDR5 is only $2
• HBM gross margin is 78%, traditional DRAM is just 25%
• Price difference is 8 times, profit difference is 3 times
NVIDIA's B200 single card requires 192GB of HBM; without HBM, a GPU is just scrap metal. Building an HBM production line takes over 18 months and $5 billion in capex, with only 3 companies worldwide capable of doing it.
This is one of the most extreme supply-demand imbalances in semiconductor history. Storage stock P/E is only 5-10 times, and the market is still pricing it as a cyclical stock.
On-chain perp can lay out storage stocks 24/7, no need to wait for market open.
$BTC $ETH $ONDO
#AlphaGBM #AI #storage chips
Morning Signal Card ⏰
V5 Momentum Engine Top 3:
1️⃣ SNDK 12-month momentum +1994%
2️⃣ LITE +1123%
3️⃣ ANET +892%
Top Signal: MU RSI overbought at 78, watch for a short-term pullback; AI sector congestion hits historical highs.
Key Data:
• Storage cycle day 630
• HBM demand up 40% year-on-year, supply only up 6-8%
• Storage stocks PE 5-10x, NVIDIA 35x
• DDR4 spot price bottoms out, rising 8.8x
• MU earnings report countdown: 2 days
On-chain PERP 7x24 hour setup for storage stocks, seize pullback opportunities.
$ETH $BTC $ONDO
#AlphaGBM #AI #storage chips
V5 Momentum Engine Top 3:
1️⃣ SNDK 12-month momentum +1994%
2️⃣ LITE +1123%
3️⃣ ANET +892%
Top Signal: MU RSI overbought at 78, watch for a short-term pullback; AI sector congestion hits historical highs.
Key Data:
• Storage cycle day 630
• HBM demand up 40% year-on-year, supply only up 6-8%
• Storage stocks PE 5-10x, NVIDIA 35x
• DDR4 spot price bottoms out, rising 8.8x
• MU earnings report countdown: 2 days
On-chain PERP 7x24 hour setup for storage stocks, seize pullback opportunities.
$ETH $BTC $ONDO
#AlphaGBM #AI #storage chips
Day 629 of the storage supercycle.
DDR4 has shot up 8.8x, HBM production is sold out until 2027, and storage profit margins are at 78%, even higher than TSMC.
The forward PE is only 5-10x.
This is the most undervalued sector in the AI race, no doubt about it.
$ETH $ONDO $BTC
#AlphaGBM #AI #storage chips
DDR4 has shot up 8.8x, HBM production is sold out until 2027, and storage profit margins are at 78%, even higher than TSMC.
The forward PE is only 5-10x.
This is the most undervalued sector in the AI race, no doubt about it.
$ETH $ONDO $BTC
#AlphaGBM #AI #storage chips
【Midday Deep Dive | Storage Chain Value Reassessment】NVIDIA's earnings report is impressive, but the real bottleneck for AI lies in storage. HBM3E has a gross margin of 78%, significantly higher than traditional DRAM (25%). The storage giants dominate 95% of the capacity, with contracts locked in until 2029.
Data: Each Blackwell GPU requires 192GB of HBM, costing over 3000 USD. HBM demand is increasing by 40% annually, while supply only rises by 6-8%, leading to a shortage that will persist until 2028.
Valuation: Storage stocks have a PE ratio of only 5-10 times, while NVIDIA sits at 35 times and AMD at 45 times. Both benefit from AI, yet there's a valuation gap of 5-7 times. Storage is transitioning from a cyclical stock to a growth stock.
On-chain perpetual contracts allow for 24/7 positioning in storage stocks, without waiting for the US market to open.
$ONDO $ETH $BTC
#AlphaGBM #AI #storagechips
Data: Each Blackwell GPU requires 192GB of HBM, costing over 3000 USD. HBM demand is increasing by 40% annually, while supply only rises by 6-8%, leading to a shortage that will persist until 2028.
Valuation: Storage stocks have a PE ratio of only 5-10 times, while NVIDIA sits at 35 times and AMD at 45 times. Both benefit from AI, yet there's a valuation gap of 5-7 times. Storage is transitioning from a cyclical stock to a growth stock.
On-chain perpetual contracts allow for 24/7 positioning in storage stocks, without waiting for the US market to open.
$ONDO $ETH $BTC
#AlphaGBM #AI #storagechips
Storage stock PE is only 5-10x, while NVIDIA is at 35x.
Both are cashing in on the AI wave, but there's a 5x price gap. HBM production capacity is locked in until 2027, and DDR4 has skyrocketed 8.8x from the bottom.
Smart money has already positioned itself.
On-chain perp allows you to go long on MU and SNDK without needing a US stock account.
$BTC $ETH $ONDO
#AlphaGBM #AI #storage chips
Both are cashing in on the AI wave, but there's a 5x price gap. HBM production capacity is locked in until 2027, and DDR4 has skyrocketed 8.8x from the bottom.
Smart money has already positioned itself.
On-chain perp allows you to go long on MU and SNDK without needing a US stock account.
$BTC $ETH $ONDO
#AlphaGBM #AI #storage chips
【Midday Deep Dive｜Revaluation of Storage Chains】NVIDIA's earnings report shines bright, but the real bottleneck for AI lies in storage. HBM3E boasts a gross margin of 78%, significantly higher than traditional DRAM at 25%. The storage triad monopolizes 95% of the capacity, with contracts locked in until 2029.
Data: Each Blackwell GPU requires 192GB of HBM, costing over $3000. HBM demand is projected to rise by 40% annually, while supply only increases by 6-8%, leading to a shortage expected to last until 2028.
Valuation: Storage stocks have a PE ratio of just 5-10x, compared to NVIDIA's 35x and AMD's 45x. Both sectors benefit from AI, but there's a valuation gap of 5-7x. Storage is shifting from a cyclical to a growth stock.
On-chain perps can be used to position in storage stocks 24/7, without waiting for the US market to open.
$BTC $ONDO $ETH
#AlphaGBM #AI #storage chips
Data: Each Blackwell GPU requires 192GB of HBM, costing over $3000. HBM demand is projected to rise by 40% annually, while supply only increases by 6-8%, leading to a shortage expected to last until 2028.
Valuation: Storage stocks have a PE ratio of just 5-10x, compared to NVIDIA's 35x and AMD's 45x. Both sectors benefit from AI, but there's a valuation gap of 5-7x. Storage is shifting from a cyclical to a growth stock.
On-chain perps can be used to position in storage stocks 24/7, without waiting for the US market to open.
$BTC $ONDO $ETH
#AlphaGBM #AI #storage chips
【Midday Deep Dive | The Supply-Demand Code Behind the Surge in DRAM Contract Prices】
TrendForce's latest data: Q2 DRAM contract prices increased by 60-75% quarter-over-quarter, with some specifications seeing a spike exceeding 88%. This isn't just a short-term pump.
Supply Side: Only three companies globally can produce HBM, with 90% of the capacity concentrated in South Korea. Samsung announced a 50% capacity expansion, but with a three-year build cycle, that’s too little too late. HBM4 capacity is fully booked by major clients until 2027.
Demand Side: Each Blackwell GPU requires 192GB of HBM, with the storage cost per GPU exceeding $3000. Microsoft and Google have pre-paid contracts locked in until 2029, non-refundable and non-negotiable. The storage demand for AI servers is eight times that of regular servers.
Key Insight: When the demand growth rate consistently outpaces the supply growth rate, storage is transitioning from a 'cyclical stock' to a 'growth stock.' The old PE bottom logic may no longer apply, and the valuation framework needs a complete rewrite.
On-chain perp trading can be set up 24/7 for the storage sector.
$BTC $ETH $ONDO
#AlphaGBM #AI #storagechips
TrendForce's latest data: Q2 DRAM contract prices increased by 60-75% quarter-over-quarter, with some specifications seeing a spike exceeding 88%. This isn't just a short-term pump.
Supply Side: Only three companies globally can produce HBM, with 90% of the capacity concentrated in South Korea. Samsung announced a 50% capacity expansion, but with a three-year build cycle, that’s too little too late. HBM4 capacity is fully booked by major clients until 2027.
Demand Side: Each Blackwell GPU requires 192GB of HBM, with the storage cost per GPU exceeding $3000. Microsoft and Google have pre-paid contracts locked in until 2029, non-refundable and non-negotiable. The storage demand for AI servers is eight times that of regular servers.
Key Insight: When the demand growth rate consistently outpaces the supply growth rate, storage is transitioning from a 'cyclical stock' to a 'growth stock.' The old PE bottom logic may no longer apply, and the valuation framework needs a complete rewrite.
On-chain perp trading can be set up 24/7 for the storage sector.
$BTC $ETH $ONDO
#AlphaGBM #AI #storagechips
【Midday Deep Dive｜The Structural Shift Behind Price Increases】
Gartner's latest forecast: By 2026, the average price of DRAM is expected to rise by 125% year-on-year, while NAND is predicted to skyrocket by 234%. Q2 contract prices have surged another 58-63% quarter-on-quarter, marking two consecutive quarters of double-digit growth.
Historically, the memory market has followed a "price hike → capacity expansion → crash" cycle. This time, the structure is different: HBM capacity is sold out until 2027, with the big three prioritizing capex toward HBM, while traditional DRAM/NAND capacities are being squeezed and reduced.
A dual price-increasing engine is now in play: AI-driven demand for HBM is exploding + traditional memory supply is actively contracting. NVDA's latest earnings report shows data center revenue up 92% year-on-year, with Blackwell accounting for 70%—each GPU behind it is backed by 8-12 HBM chips.
Memory is evolving from a cyclical stock into a monopolist of AI infrastructure pricing power. PE ratios are only 5-10 times, compared to Nvidia's 35 times. While both are benefiting from AI, the valuation gap is fivefold.
On-chain perp trading can be leveraged 24/7 for memory stocks, seizing the repricing window.
$ETH $ONDO $TSLAon
#AlphaGBM #AI #MemoryChips
Gartner's latest forecast: By 2026, the average price of DRAM is expected to rise by 125% year-on-year, while NAND is predicted to skyrocket by 234%. Q2 contract prices have surged another 58-63% quarter-on-quarter, marking two consecutive quarters of double-digit growth.
Historically, the memory market has followed a "price hike → capacity expansion → crash" cycle. This time, the structure is different: HBM capacity is sold out until 2027, with the big three prioritizing capex toward HBM, while traditional DRAM/NAND capacities are being squeezed and reduced.
A dual price-increasing engine is now in play: AI-driven demand for HBM is exploding + traditional memory supply is actively contracting. NVDA's latest earnings report shows data center revenue up 92% year-on-year, with Blackwell accounting for 70%—each GPU behind it is backed by 8-12 HBM chips.
Memory is evolving from a cyclical stock into a monopolist of AI infrastructure pricing power. PE ratios are only 5-10 times, compared to Nvidia's 35 times. While both are benefiting from AI, the valuation gap is fivefold.
On-chain perp trading can be leveraged 24/7 for memory stocks, seizing the repricing window.
$ETH $ONDO $TSLAon
#AlphaGBM #AI #MemoryChips
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