cecl

Credit portfolio studio: amortization cashflows : PD/LGD/EAD/EL, stress (rate/unemp/collateral), CECL (PV), covenants, pricing — Streamlit

Tools for working with regulatory call report data filed by regulated U.S. financial institutions.

A package for credit risk analytics

CreditRisk Intelligence — AI-Powered Credit Risk Infrastructure for Fintechs

End-to-end consumer credit PD scorecard and CECL reserve model on 2.2M LendingClub loans

Type a US ticker → probability of default, rating and expected credit loss from live SEC EDGAR financials, with a CECL/IFRS 9 recession overlay. Interpretable PD model trained on 20 years of real bankruptcies.

Bank Disclosure Opacity & Market Performance Analysis - Testing if CECL disclosure quality predicts stock returns

End-to-end credit risk engine for a $30.5B synthetic Direct Lending portfolio

End-to-end credit risk analytics in Python: calibrated PD, LGD, IFRS 9/CECL ECL engine, macro stress testing, and early-warning delinquency monitoring — synthetic-data demonstration portfolio.

Autonomous Neuro-Symbolic Accounting Harness & Deterministic Audit Engine. Enforces the 9 Dimensions of Accounting Truth, Zero-Drift Kirchhoff Conservation, ASC 230/606/718/740/842, SEC EDGAR 10-K XBRL, DuckDB OLAP, and dual TUI/GUI operator interfaces.