#94 Alpha Score 87.6

Matt Bloxham

Head of Research, The Block
· tracked since Feb 2026
94
BUZZBERG Alpha Score combines three things: realized average return, confidence in the sample size, idea volume, and speaker reputation. Speakers with only a few calls are pulled closer to the platform average; speakers with many evaluated ideas keep more of their own return. Reputation only boosts: 5.0 or lower is neutral, while scores above 5 add weight. Scores are normalized to 0-100; 100 is best. Read the FAQ
Alpha Score 87.6
Calls 11 10 Posts tracked · 0.1/day
Calls
7d 1
30d 3
90d 8
Best Calls
INTC long +68.6%
IFX.DE long +45.0%
SKYY long +32.6%
Worst Calls
ASM long -6.6%
META long -3.3%
SNOW long -0.0%
Most Mentioned
INTC ×2
NVDA ×2
SNOW ×1
Recent Calls
SNOW long 6 days ago
IFX.DE long 4 weeks ago
AMD long 4 weeks ago
Win Rate 73% Long 11 Short 0
Win Rate
7d 90%
30d 50%
90d 67%
Average Return +21.6% Long Return +21.6% Short Return -
Average Return
7d +7.3%
30d +11.2%
90d +9.9%
Result
Result
Sort
Theme Stance
Ticker
Side
Mentions
Opened
Entry
P&L
Thesis
Theme
Source
Long
Apr 24
$66.85
+68.6%
Intel benefits from AI inferencing phase.
Intel is benefiting from the shift from AI training to inferencing, where its CPU chips are well-suited, and its foundry business is showing signs of demand from external customers like Elon Musk, with a strengthened balance sheet.
AI/Semi
Long
Feb 18
$187.98
+14.2%
Meta is deepening its relationship with Nvidia, and Meta was Nvidia's second-largest customer last year. Despite fears of hyperscalers (like Meta) building their own chips to replace Nvidia, the deepening partnership signals that Nvidia's GPUs remain indispensable for the immediate future of AI model training. Long NVDA (continued demand) and META (securing necessary compute). Regulatory crackdowns on Big Tech capex; diminishing returns on AI spend.
Meta is deepening its relationship with Nvidia, and Meta was Nvidia's second-largest customer last year. Despite fears of hyperscalers (like Meta) building their own chips to replace Nvidia, the deepening partnership signals that Nvidia's GPUs remain indispensable for the immediate future of AI model training. Long NVDA (continued demand) and META (securing necessary compute). Regulatory crackdowns on Big Tech capex; diminishing returns on AI spend.
AI/Semi
Long
May 28
$241.35
-0.0%
Snowflake positive on AWS deal.
Snowflake's stronger-than-expected outlook and $6 billion AWS deal signal management confidence in midterm revenue growth, justifying the positive market reaction.
AI/Semi
Long
May 06
$421.00
+28.9%
GPU share gain, CPU inferencing boost
AMD is gaining market share in the GPU market from Nvidia, and additionally benefiting from a second leg of demand as AI shifts from training to inferencing, which requires CPUs for classical computing. This dual demand driver supports strong revenue growth and likely analyst upgrades.
AI/Semi
Long
May 06
$59.50
+45.0%
Auto and AI chip demand strong
Infineon is benefiting from two factors: auto manufacturers returning to restocking after working down pandemic-era inventories, and incremental demand from data centers using chips for power management in AI infrastructure. The company is raising prices due to a supply-demand imbalance, supporting a positive financial trend.
AI/Semi
Long
Apr 24
$396.86
+10.1%
TSMC gains from regulatory easing and AI demand
TSMC benefits from Taiwan's easing of single-stock fund holding limits, which could unlock billions of dollars of inflows. The company remains at the heart of the AI trade with strong fundamentals, and the regulatory change is a technical catalyst for further upside.
AI/Semi
Long
Apr 24
$163.26
+16.9%
SAP AI pivot driving order growth.
SAP reported better-than-expected cloud growth and a 25% year-on-year increase in its order book, signaling that its AI pivot is gaining traction and helping defend against competition, despite some pricing model uncertainties.
AI/Semi
Long
Apr 23
$479.25
+30.7%
Chip demand outpaces supply for years.
Demand for semiconductors, especially for data centers and AI, continues to exceed supply, and this trend will persist for the next 2 to 3 years, supporting strong pricing and profit growth for chip companies.
AI/Semi
Long
Apr 22
$7.30
-6.6%
ASM International boosted by AI chip demand.
ASM International is benefiting from strong demand for chipmaking equipment driven by AI adoption and data center buildout, leading to record highs and upgraded profit expectations.
AI/Semi
Long
Feb 26
$111.40
+32.6%
Hyperscalers (Amazon, Microsoft, Google) announced ~$650B in CapEx plans for 2026 a few weeks ago. Nvidia's forward guide points to 80% revenue growth. The massive, committed capital expenditure from Hyperscalers guarantees near-term order flow for Nvidia's chips, regardless of immediate enterprise adoption. The "infrastructure build" phase is fully funded. LONG. The cash flow is locked in via Hyperscaler budgets. If enterprise demand for "scaled AI" (not just pilots) doesn't materialize, Hyperscalers may cut CapEx in 2027.
Hyperscalers (Amazon, Microsoft, Google) announced ~$650B in CapEx plans for 2026 a few weeks ago. Nvidia's forward guide points to 80% revenue growth. The massive, committed capital expenditure from Hyperscalers guarantees near-term order flow for Nvidia's chips, regardless of immediate enterprise adoption. The "infrastructure build" phase is fully funded. LONG. The cash flow is locked in via Hyperscaler budgets. If enterprise demand for "scaled AI" (not just pilots) doesn't materialize, Hyperscalers may cut CapEx in 2027.
AI/Semi
Long
Feb 18
$643.22
-3.3%
Meta is deepening its relationship with Nvidia, and Meta was Nvidia's second-largest customer last year. Despite fears of hyperscalers (like Meta) building their own chips to replace Nvidia, the deepening partnership signals that Nvidia's GPUs remain indispensable for the immediate future of AI model training. Long NVDA (continued demand) and META (securing necessary compute). Regulatory crackdowns on Big Tech capex; diminishing returns on AI spend.
Meta is deepening its relationship with Nvidia, and Meta was Nvidia's second-largest customer last year. Despite fears of hyperscalers (like Meta) building their own chips to replace Nvidia, the deepening partnership signals that Nvidia's GPUs remain indispensable for the immediate future of AI model training. Long NVDA (continued demand) and META (securing necessary compute). Regulatory crackdowns on Big Tech capex; diminishing returns on AI spend.
AI/Semi
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