Claude Codeで使える日本株分析AIキット — DCF・SEPA・Altman Z''・モンテカルロ等15の分析スキル。ラジ株ナビMCPで約3,800社の財務データ・スクリーニング対応
altman-z-score 开源项目推荐(34 个)
altman-z-score 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 34 个仓库Comprehensive financial risk analysis toolkit with Altman Z-Score bankruptcy prediction, Value at Risk (VaR) calculations, and historical crisis stress testing. Supports US & European markets with automated company classification.
Here you see how to track your portfolio the right way
The most comprehensive financial ratios library. 134+ ratios across valuation, profitability, risk, composite scores, SaaS, REIT, banking and more. TypeScript + Python with identical APIs.
Here you can find different scripts to perform financial analysis with data from the Financial Modeling Prep API.
Essential techniques to assess financial risks
Free, open-source, no API key CLI that surfaces forensic risk signals from a US micro-cap's SEC filings: distress & accounting quality scores, dilution, insider activity, 8-K events, delisting & trading-suspension risk, each traced to the filing. Evidence for your own due diligence, not advice.
Full-stack quantitative stock screener for Indian markets (NSE/BSE) with 100-point AMFIS scoring engine, Monte Carlo forecasting, Piotroski F-Score, Altman Z-Score, and TradingView-style terminal UI. Built with Go, Next.js 15, PostgreSQL, and TypeScript.
A full-stack credit risk platform built with FastAPI and React (Vite). Analyzes financial statements via LangChain + FAISS (RAG) and Claude API, featuring side-by-side prompt tuning evaluations and LLM-as-a-Judge grading audits.
Fundamental analysis for JavaScript/TypeScript: financial ratios, Piotroski F-Score, Altman Z, DCF, Graham number and intrinsic value, with plain-English ratings. Zero dependencies.
Quantitative fundamental analysis platform for global stocks. Three-horizon scoring, DCF with sensitivity grid, Piotroski/Altman/Beneish/Sloan, sector-relative percentiles. FastAPI + Next.js.
Stacking ensemble ML pipeline for corporate bankruptcy prediction on NYSE/NASDAQ firms (1999–2018). XGBoost, LightGBM, CatBoost with Optuna tuning, SHAP, DeLong tests, and temporal validation. Benchmarked against Pellegrino (2024).
Credit, earnings-quality and valuation analysis that computes every figure: Altman and Ohlson reconciled into one verdict, Merton default risk from share prices, DCF with Monte Carlo, a six-method Portfolio Lab with HRP, and a multi-agent research memo whose every number is checked.
AI-powered corporate bankruptcy risk prediction system using financial ratios, XGBoost, SHAP explainability, and multi-year financial distress forecasting.
Formula-Driven Financial Modeling | Valuation | Risk Analytics | FP&A | DCF | Altman Z-Score | Fraud Detection | Python | Excel
Credit risk analysis platform for Norwegian companies. CFA-based scoring, ML probability of default, Altman Z-score and Basel III ROE calculator. Built with Python, Streamlit and scikit-learn.
Analytical SQL over SEC Financial Statement Data Sets in DuckDB: Piotroski, Altman, DuPont, sector percentiles, point-in-time screens
Credit-risk underwriting and early-warning system for 12 US retail issuers, built end-to-end from SEC EDGAR XBRL filings. Quarterly panel, credit metric suite, Altman Z-double-prime, 7 stress scenarios, level/trend/stress watchlist triggers — with an Excel underwriting model, interactive dashboard, Power BI dataset and generated credit memos.
Hệ thống cảnh báo sớm định lượng nhận diện kiệt quệ tài chính và gian lận báo cáo tài chính doanh nghiệp bằng Altman Z-Score và Beneish M-Score.
Distressed-corporate turnaround simulator merging Merton distance-to-default, Altman Z-score and Bayesian lender belief into a 12-quarter decision engine. Python · Streamlit · Plotly.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/altman-z-score。
- 该话题在 GitHub 上共有 34 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 54 Star,覆盖 6 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。