K4 MARKET
Tetrahedron Market Tomography — Price Visualization
01. What It Does
Maps OHLCV market data into K4 tetrahedral coordinate space. Each data point becomes a node positioned by interpolating between Open, High, Low, Close vertices. Volume clusters, support/resistance nodes, and a Larmor ring overlay complete the visualization.
02. How It Works
A Three.js tetrahedron with 4 labeled vertices (Open, High, Low, Close). Random-walk data generation seeded by the symbol string produces deterministic demo datasets for any ticker.
Color-coded nodes map market structure: green = support, red = resistance, blue = volume clusters. The Larmor ring rotates at 0.86 Hz, providing a temporal reference frame for the tetrahedral coordinate space.