Project 01 · Market-data operations
Market-data toolkit
Classifies real CME and Nasdaq notices, resolves everything they touch through a typed dependency graph, and routes each one for review with an explicit confidence and escalation rule — then scores itself on a held-out split frozen before any rule was written, and shows its failures on the page.
Python · D3 v7 · 26 real notices · synthetic estate
Held-out results
Held-out · real notices (n=7)
type accuracy1.00
feed recall0.86
priority accuracy0.43
false clears1
The split was frozen before any rule was written. The weakest number is published exactly as scored.
Built with
- Python
- D3 v7
- 26 real notices
- synthetic estate