VYNN AI Agent Backend is a standalone agent execution system for financial analysis. It orchestrates LLM-based agents to scrape historical financial data, build valuation models, analyze real-time financial news, and generate structured financial reports, with a focus on modularity and reproducible execution.

Institutional-quality equity research skills for Claude AI — systematizing the fundamental analysis playbook from buy-side investing into reusable, AI-executable frameworks.

DCF valuation tool with Monte Carlo simulation for stock analysis. Features real-time beta calculation, multi-market support, and interactive visualizations. Built with Streamlit and Python.

Turn any earnings PDF into a full DCF valuation with AI agents using Skills.

Buffett-style DCF intrinsic value analysis for China A-share market | Python + Streamlit + Tushare

FinPilot AI — 面向企业财务场景的智能体平台 · LangGraph ReAct · SSE 流式 · 多格式文档 RAG · ABAC + TOTP

A full-stack equity research platform pairing retrieval-augmented filing analysis with a deterministic quantitative engine — cited document Q&A, DCF valuation, ratio diagnostics, peer benchmarking, sentiment, and portfolio analytics. Built with FastAPI, React, and PostgreSQL/pgvector.

Local-first asset-pricing and macro mispricing research system with alternative-data pipelines and research workflow orchestration.

A minimalist, AI-driven CLI agent optimized for financial analysis—minus the developer bloat

Full 3-statement financial model & DCF valuation for Apple Inc. (AAPL)

An AI-powered equity research platform for retail investors. Screen 550+ stocks across S&P 500 & Nifty 50, analyse annual reports, run DCF valuations, and monitor live news sentiment.

A dynamic equity valuation tool utilizing Python (yfinance/Pandas) for automated financial modeling, featuring a Three-Stage DCF with linear growth fading and interactive Power BI visualizations.

AI Decision Intelligence case study: one HOLD call on Titan (NSE: TITAN), pressure-tested via DCF, Monte Carlo, LLM sentiment & alt-data.

Excel output available, HTML version available

TCS 3-statement model | DCF | Comps | Football Field | Python | 15yr history

This Discounted Cash Flow Valuation System provides comprehensive financial analysis and stock valuation capabilities.

Agentic corporate finance autopilot with RAG, Monte Carlo simulation, and observable AI traces

Interactive Streamlit DCF valuation tool. Pulls real financial data for any public company, builds a full DCF model with adjustable assumptions, and computes intrinsic value per share with sensitivity analysis.

Enterprise-grade stochastic finance platform — Monte Carlo portfolio risk simulation + ML-powered DCF valuation with Numba JIT acceleration

Probability-based Fusion of ML(CatBoost) + DCF Future Excess returns' regressors with Report-export