About SAVNG

The Problem

Most retail investors lack access to the quantitative valuation tools used by institutional analysts. The alternatives are either oversimplified (single P/E comparisons) or prohibitively complex (Bloomberg terminal at $24K/year). There's a gap between "this stock feels cheap" and "this stock is mathematically undervalued under reasonable assumptions."

What SAVNG Does

We built an automated valuation engine that runs disciplined, multi-model valuations on every S&P 500 stock, every month. The engine auto-routes each stock to the most appropriate model — FCF DCF for most companies, Residual Income for financials, DDM for utilities and REITs, Normalized FCF for cyclicals. Each analysis includes three scenarios (conservative, base, optimistic), a Graham-style checklist for financial strength, automated QA flags that catch deteriorating fundamentals, and transparent assumptions with guardrails that prevent unrealistic inputs from inflating results.

Our Philosophy

We believe in transparency over black boxes. Every assumption is visible. Every model is reproducible. We use educational language — "the model suggests undervaluation under these assumptions" — because honest analysis acknowledges uncertainty.

We are not an investment advisor. We are a valuation tool. The distinction matters: we provide the model, you make the decision.

Technology

SAVNG runs on Cloudflare's edge network for sub-50ms computation. Financial data comes from Financial Modeling Prep. AI analysis is powered by Claude (Anthropic). The stack is designed for reliability, speed, and minimal cost — so we can offer comprehensive free coverage of the entire S&P 500.