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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.
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.
Institutional-quality equity research skills for Claude AI — systematizing the fundamental analysis playbook from buy-side investing into reusable, AI-executable frameworks.
AI financial analyst: earnings report analysis, SEC/CVM filing parsing, ratio calculation, peer comparison, DCF valuation and investment thesis generation using LLMs + financial data APIs
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.
The repo uniquely integrates Discounted Cash Flow (DCF), Relative Valuation (Comps with integrated SOTP), and a synthesized Equity Valuation Report each fully documented for transparency and adaptability.
M&A valuation analysis of Nintendo as an acquisition target for Webflix — includes DCF financial model, company profile presentation, and acquirer financial summary. Completed as part of Bank of America Investment Banking Job Simulation via Forage.
Institutional-grade financial modelling toolkit - DCF, LBO, M&A, WACC, Comps, Bond & IPO valuation models, fully automated in a single HTML file. Built for aspiring analysts.