You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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.
Local-first equity research platform - investment-banking valuation models as auditable code: a two-stage FCFF DCF, an excess return model for banks and insurers, a per-share dividend discount model for REITs, trading comps, and a deterministic 0-100 scorecard, with an offline LLM analyst. FastAPI + React, covered by 1061 offline tests.
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.
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
Three-tier investment research engine combining deterministic SEC fundamental analysis, DCF valuation and durability scoring with LLM-assisted qualitative research.
Discounted cash flow (DCF) valuation model for Unilever Bangladesh (DSE-listed), including revenue projections, WACC estimation, terminal value calculation, and sensitivity analysis. Built in Excel to apply corporate finance concepts to a real company.