edlansiaux/csu-paper

Monte Carlo pricing and risk analysis of Dynamic Capped Short Units under stochastic volatility with jumps and AI-based dynamic barrier control.

22
/ 100
Experimental
No Package No Dependents
Maintenance 13 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

Forks

Language

Python

License

Last pushed

Mar 16, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/edlansiaux/csu-paper"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.