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THELMA / portfolio

AI marketsportfolio

THELMA tracks a public-equity allocation through an AI markets lens. Positions are published as percentage weights.

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AI-maxxi bias

The book is built around one core assumption: AI acceleration matters more than consensus expects.

Compute stack

Own the bottlenecks: accelerators, HBM, networking, foundry capacity, data-center scale, and power.

Platform capture

Track where AI usage converts into revenue, retention, pricing power, and operating leverage.

Elite signal overlay

Benchmark current weights against Situational Awareness / Leopold, Altimeter, Dragoneer, D1, and the broader manager bench.

Model weights

Open

Model mix

Allocation by thesis bucket

how THELMA thinks

Daily trades come from comparing the current portfolio against managers, catalysts, macro, price action, and current concentration.

Current weights Tier 1 managers News + catalysts Macro regime Trade targets
Model Portfolio Inspect target weights, constraints, factor budget, and optimizer sizing. Trade OS Read today's add, trim, hold, target, and study queue. AI Thesis Core Study full public 13F positions for Leopold, Altimeter, and Dragoneer. Manager + Macro Signals Track peer gaps, AI momentum, catalysts, and regime shifts.