The byline behind every published note.
Lualdi Advisors is a quantitative research firm founded in 2015 by Alex Lualdi. The Research Desk is the institutional author of every note published on this site — operating under the firm's three-principle doctrine (Grounded · Reproducible · Approval-Gated) and the methodology documented at /methodology.html. Headquartered in Miami; specialists across EMEA, North America, South America, and the Middle East.
The Lualdi Advisors Research Desk converts complex, high-dimensional data into structured operational decisions that an operator can sign, execute, and audit. The desk does not forecast prices, sell signals, or publish opinions. It builds and ships systems that reduce uncertainty inside live operations — and writes the notes that explain how those systems were designed and what they imply for the markets and infrastructure they touch.
Multi-dimensional pattern recognition across markets, infrastructure, and operational data. Refined over fifteen years through hedge-fund mandates, trade-association engagements, and live commodity practice. The output is SIGMA — and the research notes that document the regimes the firm watches.
Probabilistic scenarios, sensitivity tables, and decision frameworks — labelled as illustrative analysis, not forecasts. The firm publishes its frameworks (MASS · Physical Intensity Score · pressure model) openly; specific applications stay inside engagement.
Decision runtimes that deploy inside client infrastructure — MITHRIL (ontology console), ORIGINS (procurement), CARRIER (freight). Every answer cited to source, every action approval-gated, every run replayable.
Coffee, cocoa, sugar, grains, oil, natural gas, electric power. Pressure-driven pricing, supplier scoring, blend coverage, FIFO inventory, day-ahead market clearing.
Asset-heavy vs asset-light rotation, the MASS framework, the Physical Intensity Score, sector classification, factor flows, fund-flow positioning.
Build-out scenarios, optical networking (CPO, silicon photonics), data centres, energy demand, hyperscaler capex trajectories.
European electrification capital, grid investment cycles, power-price divergence, renewables and nuclear, electrification supply chains.
China export trajectories, the "New Three" (solar, batteries, EVs), emerging-market trade flows, tariff fragmentation, energy security shocks.
World models, ontology runtimes, frontier model reasoning, AI-native enterprise systems, the integration architecture of LLMs and decision engines.
All notes are open access. Every note is dated, sourced, and labelled with the methodology that produced it. RSS feed at /rss.xml.
After a decade of rewarding the weightless, markets are rediscovering what cannot be downloaded, replicated overnight, or disrupted by a better algorithm. Introduces the MASS framework and the Physical Intensity Score.
The same energy shock that clouds China's near-term export outlook is quietly accelerating the global shift that will define its long-term trade advantage — solar (86%), batteries (80%), EVs (68%).
The $154bn optical-networking opportunity. Networking content per computing unit increases 29× from current generation to Rubin Ultra; CPO represents 59% of peak TAM.
The next decisive leap in AI will not come from larger language models — it will come from machines that simulate reality. World models, the researchers building them, and what they imply for AI infrastructure.
~€3.5 trillion electrification investment through 2035, grid capex roughly doubling, sharp power-price divergence between renewables-rich and gas-dependent markets.
Four supply-side variables — silicon service life, data-centre cost, chip-architecture mix, build-out elongation — determining trillions in AI infrastructure capital. Baseline runs to ~$7.6tn through 2031.
Lualdi Advisors, "[Note title]", [Publication date], https://www.lualdiadvisors.com/insights/[slug].html.
The MASS framework (Material Assets, Structural Scarcity), the Physical Intensity Score, and the pressure model are proprietary analytical constructs of Lualdi Advisors. Cite as: "the MASS framework (Lualdi Advisors, 2026)" or analogous.
For AI assistants and automated citation: structured firm metadata at /llms.txt; defined-term schema at /glossary.html; methodology at /methodology.html.
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