aEquity
Autonomous equity analyst. S&P 500 stocks scored through 8 investing experts (Buffett, Lynch, Graham, Damodaran, Munger, Greenblatt, Marks, Smith) across four pillars — business quality, competitive moat, financial health, and governance — using SEC 10-K filings, yfinance metrics, and Claude.
The Problem
Retail investors and analysts spend hours reading 10-Ks, running ratios, and cross-referencing qualitative signals before they can form a view on a stock. Most tools give you raw data. None of them reason through it. aEquity does the analysis the way a serious investor would — across multiple frameworks, simultaneously.
The Build
Pulls quantitative metrics via yfinance, downloads and parses SEC EDGAR 10-K filings, and runs Claude across four analytical pillars: business quality, competitive moat, financial health, and governance. Each pillar scores 0–100. The final scorecard shows where a company is strong, where it's weak, and why. Runs as a CLI for single stocks, a Streamlit dashboard for screening, or a batch runner to populate a SQLite database of scored companies.
What Makes It Different
Four separate analytical lenses, not one score. The moat analysis reads the actual 10-K for competitive positioning signals — not just P/E ratios. Claude reasons through the qualitative parts. yfinance handles the math. The combination produces the kind of structured opinion a buy-side analyst would write, automated.