Value stock screener built around Graham Number and Piotroski F-Score
Yet another stock screener when Finviz and Yahoo Finance already do this.

Buffett-style stock scoring when Morningstar and Simply Wall St already do this.
Retail investors and value investing enthusiasts
Morningstar · Simply Wall St · Finviz
Yet another stock screener when Finviz and Yahoo Finance already do this.
It automates a very specific, beloved cookbook — 12 Buffett-style filters plus a 10-year financial scrape and DCF — then layers an AI-written moat and management evaluation on top. The combination of deterministic screening (ROE/ROIC/debt/FCF consistency) with an automated qualitative thesis is the product's smart move; what I'd like to see next is more transparency on the AI model and DCF assumptions so you can trust the outputs instead of just reading them.
Filtering stock picks through investor personas doesn't replace due diligence, just adds a lens.
You get momentum scores, RSI, EMA alignment, coil-breakout detection and concise bull/bear briefs out of the box — plus an OpenClaw skill so an LLM agent can answer “how's $NVDA looking?” immediately. The author ships 900+ days of backtested signals and open, dependency-free Python scripts which is refreshingly transparent, but the headline win-rate/return claims need independent audit (survivorship and lookahead bias are the obvious caveats) and the product looks focused on US/end-of-day use-cases.
Provocative data journalism showing Epstein-linked companies outperformed S&P by 1954% since conviction.
Dual-AI architecture scores your answers silently while you chat, no multiple choice needed.