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AI portfolio architect
Candidate only — never published unbacktested
AI picks live tickers and weights; the backtest below uses real closes to check the claim.
Proven high-risk candidates
3 books
MCM Compute Supercycle (High Risk)
Concentrated ownership of the AI compute chain — silicon, networking, power and hyperscale — with a small index hedge and cash for drawdowns.
target +15–30% vs SPX10 positions
MCM Convex Momentum (High Risk)
Levered index and momentum expression paired with gold, treasuries and a short book so the convexity is financed rather than naked.
target +15–35% vs SPX9 positions
MCM Asymmetric Growth (High Risk)
Ten-name book of high-growth compounders and digital assets, hedged with treasuries and a short sleeve; sized for maximum upside capture.
target +12–28% vs SPX11 positions
Holdings
10 positions · 100.0%
Ticker
Name
Sleeve
Weight %
Risk warnings
Single-theme concentration; a semis cycle turn can take this book down 45-60%.
Backtest on real prices
Adjusted daily closes
Run the backtest to measure this book against SPY on adjusted daily closes. Nothing is simulated — positions without price history are excluded and reported.
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