Bitcoin allocation
Structural exposure with volatility budget, sizing discipline, and clear review rules.
BTC
Portfolio Review
Build around what must stay.
A modern portfolio review starts with the real balance sheet, then asks where asymmetry belongs: Bitcoin allocation, semis, data infrastructure, robotics, and hedges that can matter when the market breaks.
01
Constraints
02
Hedges
03
Direct Ownership
Analysis process
Start with the current picture.
This is not a generic fund stack replacement pitch or a promise to run every part of someone's financial life. The work starts with analysis: what you own, where the macro pressure sits, which risks are too concentrated, and which trades or portfolio changes would actually improve the picture.
MAP
Inventory what exists
401(k), taxable accounts, cash, employer stock, private positions, real estate, debt, and upcoming liquidity needs.
MACRO
Read the environment
Rates, liquidity, earnings, valuation pressure, policy risk, and the market regime that shapes the opportunity set.
TRADE
Improve the decision
Separate strong ideas from weak setups with risk/reward, invalidation, position sizing, and execution discipline.
WATCH
Monitor with AI-assisted research
Track portfolio drift, earnings, valuation pressure, hedge triggers, and risks that change faster than a quarterly review cycle.
Portfolio architecture
One balance sheet, several jobs.
The portfolio is organized by responsibility, not by product labels. Bitcoin can be the scarce asset sleeve, semis and data can be the AI infrastructure sleeve, robotics can be the physical automation sleeve, and hedges can protect the book when volatility expands.
AI infrastructure
Semis, HBM, EUV, foundries, advanced packaging, power, networking, and data centers.
Core
Data + robotics
Cloud, data rails, automation, sensors, robotics, and physical AI infrastructure.
Build
Asymmetric hedges
Cash, collars, puts, call spreads, and tactical convexity when the setup is worth the risk.
Convex
Operating style
Technology research, institutional controls.
The edge is not just knowing the technology theme. It is translating that research into macro awareness, sizing, hedging, liquidity, and decision rules that a real portfolio can live with.