Schmatz is an editorial, event-driven equity research desk. Ask in plain English — "what if I'd put $10k into NVDA a year ago?" — and get a walk-forward-validated answer grounded in a corpus of 20,000+ market shock events, with an AI copilot that cites real evidence instead of guessing. Free during open beta — an educational research tool, not investment advice.

Finishing up my Junior Year in college at UW Foster School of Business, and four months later, we have: schmatzfinance Schmatz is a shock-and-mean-reversion backtesting engine built on honesty. It won't hand you a confident answer from a broken backtest. Walk-forward tested. Hardest thing I've ever built. Most I've ever learned about making an app, especially in the finance sector. Thank you to my Professors and Friends who have helped with QA testing the app! Free in open beta. Please let me know what features you would like to see next. Considering this is my first project, there might be bugs or things that currently do not work as intended. I am all ears and would welcome feedback from people who are more knowledgeable in the space than I am. Feel free to reach out to me on LinkedIn or submit a ticket through the app.

Love the event-based approach and the citation emphasis really sets it apart from typical AI finance tools. One thing I'd love to see is a portfolio-level view, where I could add multiple positions and ask questions across the whole basket like "what would my drawdown look like during a 2008-style shock." Would make the tool way more useful for thinking about real allocation decisions.

@meral25451 Thank you for the Idea. I will definitely add this.

Schmatz — Think like an analyst.

event-driven equity research desk built around honesty

event-driven equity research desk built around honesty