
Ontology
Track how macro shocks propagate across markets in real time
What it does
Ontology maps how macro shocks propagate through markets. It builds a live causal transmission graph with edge-scored relationships showing how a VIX spike transmits through HY spreads into equities in real time. Also includes: geopolitical risk mapping on a 3D globe with AI-generated options trade structures, full FRED/BLS-sourced macro dashboard, cross-country recession watch, yield curve analytics, and PAC influence tracking. $40/mo vs $24K/yr for Bloomberg.
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I simulated closing the Strait of Hormuz on real oil trade dataJul 2026 · globaloilnetwork.staffinganalytics.io · ▲244OP here: I created this visualization tool as the byproduct of a supply chain class I taught at Columbia. The pedagogical exercise grew into a full blown visualization and paper about global oil trade. The model: The mechanics are the same as the financial network Eisenberg-Noe: Instead of banks, every country consumes oil interconnected via bilateral trading. Shocks propagate throughout the network, depleting oil reserves when bottleneck nodes (such as the Strait of Hormuz) are blocked. Insights: The interesting part is the mechanics of how the crisis unfolds: for example, France receives 0…


- TCThe Cascade Graph – An interactive map of AI and energy constraintsJun 2026 · atomprophet.io · ▲26
Hello, I wanted to share with you all a interactive map of the economics and physics constraints of the AI buildout. It has macro drivers, industrial chokepoints, and where that shows up in markets. I've added 393 nodes and 562 edges to capture other supply / physics constraints as well. There's no sign up, and no pay wall, it's all free. Please let me know what you think!

- BABuilt a 200k-edge market knowledge graph to filter false dip-buy signalsDec 2025 · ▲5
I’ve been experimenting with a graph-based approach to a classic trading problem: why most dip-buying strategies can’t tell the difference between a temporary overreaction and a genuine structural collapse. Most systems treat a −5% move the same regardless of context. My hypothesis was that where a company sits in the market’s structure matters more than the price move itself. The engineering idea I built a knowledge graph of the U.S. public markets with ~207k edges across ~21 relationship types, organized into four layers: Operational: supply-chain relationships (SUPPLIES_TO, PRODUCES)…
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