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Tag: Meta

Gold coins scattered with a stock market graph and a percentage symbol on an orange background.

Why Gold’s Low Sharpe Ratio Masks Its True Value as a Strategic Tail-Risk Hedge

Gold (Sharpe 0.4-0.7, Volatility 12-15%) acts as a reserve asset, inversely correlated with the DXY. Its low Sharpe ratio is due to no carry yield and custody costs, but it offers absolute decorrelation during systemic geopolitical shocks. Physical gold is now central to monetary influence wars (BIS Basel 2024-2025). Steelldy Engine 3.8 and Planet Labs…

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Bitcoin coin standing on a chessboard with silver and brass chess pieces. Concept of strategic digital currency investment.

Beyond the Sharpe Ratio: Why Tail-Risk Hedging Is Essential in Bitcoin’s Fat-Tailed Markets

A long-only Bitcoin strategy with a target Sharpe ratio of 0.8–1.2 and 60–70% volatility is an inherently risky proposition. The asset is high-beta with extreme negative skew and fat tails. While the elevated Sharpe suggests a high risk premium, this masks a pathological risk of ruin during retail capitulation events. The market's inefficiency stems…

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Detailed image of a vintage computer motherboard with RAM sticks.

Micron (MU) Dynamics, Memory Sector Supercycle and AI Infrastructure

https://www.steelldy-indices.com The semiconductor memory industry (MU/Samsung/SK Hynix oligopoly controlling >95% of DRAM/HBM) is in a structural supercycle driven by AI data center demand (hyperscalers investing over $300 billion by 2026). Unlike past cycles (2001, 2008, 2013) dominated by PCs and smartphones, current demand is nonlinear, scaling with LLM size and dataset complexity. Sunk costs from…

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Close-up of colorful copper electrical wires against a vibrant green backdrop, showcasing vivid contrasts and textures.

The Super-Cycle of Energy Transition and AI Metals

1. Demand Megatrends FTSE Russell identifies two megatrends: AI and the energy transition. We quantify them as follows: A. AI Infrastructure: The five hyperscalers (Amazon, Microsoft, Google, Meta, Apple) invested $320 billion in H1 2026, in line with an annual projection of $650 billion. Each 100 MW data center requires approximately 30,000 tons of…

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Copper-to-optics transition, commoditization of AI interconnects, quantitative analysis of Corning, Coherent, Lumentum drivers

www.steelldy-indices.com This study analyzes the evolution of the fiber optics industry in the context of the explosion of data centers for artificial intelligence, covering the period 2026-2031. The central thesis we defend is as follows: the transition from copper to optics in data center infrastructure is an irreversible structural trend, based on fundamental physical constraints…

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Chipflation: How AI is Reshaping Global Economics and Investment Landscapes

Abstract The emergence of artificial intelligence as a transformative economic force has catalyzed an unprecedented surge in demand for semiconductor components, creating a phenomenon economists are beginning to term "chipflation." This technical analysis examines the multifaceted impact of AI-driven chip demand on global inflation, market dynamics, and investment opportunities across the semiconductor ecosystem. Through quantitative…

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Morgan Stanley Warning: The U.S. Could Face a Major Power Shortage by 2028

Morgan Stanley warns that accelerating global AI adoption is fueling an unprecedented demand for electricity, potentially leading to a 20% U.S. power shortfall by 2028 if supply doesn't match the exponential growth. Massive U.S. data centers, driven by major tech investments exceeding $400 billion by companies like Microsoft, Google, Amazon, and Meta for compute capacity…

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Le pivot fiscal audacieux de Meta validé par la “substance économique”

Analyse techniquement irréprochable de la stratégie fiscale la plus avancée dans l'ère post-BEPS (Base Erosion and Profit Shifting) Ce schéma n'est pas une simple "optimisation", mais une réingénierie structurelle de la chaîne de valeur pour aligner le (i) lieu de la création de richesse fiscale sur le (ii) lieu de la substance économique réelle (Compute).…

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Dette record dans l’industrie de l’intélligence artificielle

RÉSUMÉ Alphabet, Amazon, Meta, Microsoft et Oracle ont émis un total de 88 milliards de dollars en obligations de qualité investissement entre septembre et novembre 2025, selon Dealogic. Ce montant, qui dépasse largement les émissions des trois années précédentes (66 milliards de dollars), est principalement motivé par des investissements massifs dans l'infrastructure de l'IA, notamment…

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