What I can build
Derivative and structured-product work written up honestly — the thesis, the mechanics, and the part that hurts when it goes wrong.
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Each section answers a different question about the same market. Start anywhere.
Derivative and structured-product work written up honestly — the thesis, the mechanics, and the part that hurts when it goes wrong.
A cross-asset interaction grid plus a running log of what the world did and what it actually implies for positioning.
Every major market on one map — cap, macro, sector mix and the five companies that dominate it.
One static page, no framework, no backend. All content lives in a single data file, so adding a market or a strategy is one object, not a deploy pipeline. Motion is spring-driven and interruptible; everything respects reduced-motion, reduced-transparency and high-contrast settings.
Every strategy here is written with its failure mode attached. A payoff you cannot describe losing money is a payoff you do not understand. Tap any card for the mechanics.
Correlation of daily returns across the assets that actually drive a multi-asset book. The number matters less than the sign changes — those mark regime shifts.
A correlation grid is a picture of what the market currently believes the shared risk factor is. When equity–rates flips sign, the driver has moved between growth and inflation. When credit stops confirming equity, the marginal buyer has changed. When everything converges toward one, diversification is gone precisely when it was needed.
Seed values shown. Regenerate the matrix from your own price history with tools/build_correlations.py.
Append-only. Each entry pairs what happened with the positioning consequence — the second part is the point.
Colour by any metric. Tap a country for its macro picture, the sector composition of its benchmark, and the five companies that dominate it. Drag to pan, scroll or pinch to zoom.